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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationFri, 03 Dec 2010 12:34:34 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/03/t1291379678xassivgkxarc48g.htm/, Retrieved Thu, 25 Apr 2024 03:41:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=104690, Retrieved Thu, 25 Apr 2024 03:41:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact152

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2010-11-17 09:20:01] [b98453cac15ba1066b407e146608df68]
-   PD  [Multiple Regression] [traders and order...] [2010-12-02 15:04:44] [75b8170d590d2aca2c97c1862bb2167f]
-   PD      [Multiple Regression] [] [2010-12-03 12:34:34] [87bb5e10c18d96bd329dff2d857096c8] [Current]
-             [Multiple Regression] [Juiste met dummie...] [2010-12-03 19:17:06] [75b8170d590d2aca2c97c1862bb2167f]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
350	1	1595	17	10	60720	319369	143	7022	75	0
61	0	5565	47	43	94355	493408	38	6243	53	39
287	0	601	6	5	60720	319210	144	19868	198	0
268	1	188	11	9	77655	381180	67	16471	964	0
25	1	7146	105	83	134028	297978	367	933	14	305
418	0	1135	17	20	62285	290476	384	5322	80	-9
392	1	450	8	6	59325	292136	380	11517	205	-1
131	1	34	8	7	60630	314353	309	14294	3340	0
316	1	133	14	4	65990	339445	109	9960	1052	0
347	1	119	6	3	59118	303677	354	17280	872	0
68	0	2053	53	44	100423	397144	60	3720	96	33
70	0	4036	63	85	100269	424898	53	3570	56	32
147	1	0	0	0	60720	315380	203	 	 	0
169	1	4655	393	55	60720	341570	105	360	30	0
248	1	131	11	15	61808	308989	338	9908	834	0
152	1	1766	73	46	60438	305959	349	1451	60	0
351	1	312	14	3	58598	318690	147	8478	381	0
372	1	448	40	7	59781	323361	132	3084	275	0
137	1	115	13	10	60945	318903	145	9146	1037	0
352	1	60	10	7	61124	314049	314	11405	1916	0
338	1	0	0	0	60720	315380	180	 	 	0
258	1	364	35	26	47705	298466	365	2813	271	0
343	1	0	0	0	60720	315380	183	 	 	0
398	0	1442	118	239	121173	438493	49	2021	165	-3
115	0	1389	9	6	57530	378049	71	19783	128	6
188	1	149	5	6	62041	313332	318	22666	761	0
379	1	2212	14	10	60720	319864	142	8562	54	0
48	0	7489	322	149	136996	430866	50	717	31	70
366	1	0	0	0	60720	315380	287	 	 	0
117	1	402	26	8	84990	332743	115	5106	330	5
412	0	7419	29	21	63255	286963	387	2999	12	-5
157	1	0	0	0	60720	315380	219	 	 	0
264	1	307	15	10	58856	331955	116	8797	430	0
54	0	1134	162	63	146216	527021	34	2019	288	58
64	0	7561	87	77	82425	364304	86	1889	22	37
113	1	5131	71	44	86111	292154	379	1298	18	9
148	1	9	6	7	60835	314987	300	19165	12458	0
425	1	2264	24	20	55174	272713	394	3030	32	-31
7	1	40949	481	263	129352	1398893	9	2493	29	2865
197	0	4980	91	89	113521	409642	55	2304	42	0
97	1	272	8	9	112995	429112	51	28639	844	14
168	1	757	19	18	45689	382712	66	9616	242	0
69	1	1424	94	73	131116	374943	77	1861	123	32
127	1	0	0	0	60720	315380	191	 	 	0
184	0	378	52	16	71873	297413	369	1873	258	0
401	1	1061	5	3	70415	304252	353	20850	98	-4
371	1	0	0	0	60720	315380	290	 	 	0
174	1	203	9	9	61938	309596	334	12177	541	0
46	0	3689	25	25	101792	377305	74	7092	48	74
90	1	567	11	14	103345	386212	65	16928	329	20
27	0	27664	282	236	74996	657954	24	1624	17	247
105	1	1686	40	28	68696	368186	81	4205	100	11
413	0	1164	17	15	57320	269753	395	4103	60	-6
26	1	15824	64	56	63838	585715	30	6027	24	284
16	1	6575	159	63	151352	1071292	11	5480	133	819
19	0	37597	248	234	37884	992426	12	3195	21	652
336	1	314	5	4	60720	315371	294	23074	367	0
110	0	1932	36	20	72954	249898	403	1386	26	10
86	0	5692	72	68	64239	357312	91	2185	28	22
294	1	0	0	0	60720	315380	257	 	 	0
322	1	0	0	0	60720	315380	177	 	 	0
94	0	6533	75	29	126910	364839	85	2198	25	16
400	0	2126	138	41	21001	230621	413	222	14	-3
150	1	14	1	0	61016	315877	161	115877	8041	0
107	0	3192	60	48	59831	125390	427	-1243	-23	10
166	1	47	3	1	60720	314882	305	38294	2432	0
47	0	4891	217	49	210568	370837	79	787	35	73
182	0	531	10	11	71641	330068	120	13007	245	0
245	1	2332	4	2	72680	324385	131	31096	53	0
330	1	0	0	0	60720	315380	277	 	 	0
10	0	16275	109	129	47818	1443586	7	11409	76	1974
429	1	9252	48	32	79510	253537	401	1115	6	-129
2	0	29790	309	444	81767	4321023	2	13337	138	28328
235	1	0	0	0	60720	315380	204	 	 	0
187	0	2300	29	23	64873	352108	97	5245	66	0
213	1	267	32	11	57640	330059	121	4064	487	0
296	0	382	21	9	59365	340968	107	6713	369	0
218	1	397	28	7	60646	317736	152	4205	297	0
28	1	11920	182	73	31080	209458	419	52	1	238
5	0	54660	302	315	126942	1491348	6	4276	24	3040
138	1	5	2	1	60720	314887	304	57443	24814	0
163	1	0	0	0	60720	315380	218	 	 	0
219	1	0	0	2	60720	315380	199	 	 	0
125	0	2647	37	17	62920	353058	95	4137	58	1
216	1	0	0	2	60720	315380	201	 	 	0
196	0	0	0	0	60720	315380	263	 	 	0
128	1	94	7	10	60793	314533	308	16362	1212	0
223	1	3	2	1	60698	315354	296	57677	36505	0
165	1	454	51	24	63261	302187	357	2004	225	0
373	1	227	9	7	76644	336639	110	15182	603	0
324	0	0	0	0	60720	315380	245	 	 	0
251	1	206	9	9	53110	296702	372	10745	469	0
11	1	25830	115	104	245546	1073089	10	7592	34	1910
62	1	1528	38	32	60326	146494	426	-1408	-35	38
149	1	271	2	2	60720	325249	129	62625	463	0
270	1	138	6	26	69817	331420	117	21903	954	0
171	1	0	0	0	60720	315380	211	 	 	0
226	1	278	26	22	61404	314922	302	4420	413	0
276	1	282	30	12	62452	320016	141	4001	425	0
383	1	571	80	14	41477	280398	390	1005	141	0
93	1	2253	99	68	63593	452469	43	2550	112	17
302	1	290	2	1	58790	301164	360	50582	348	0
385	1	78	16	12	62700	317330	154	7333	1511	0
225	1	20	2	1	60805	315576	169	57788	5924	0
275	1	0	0	0	60720	315380	284	 	 	0
431	1	18073	180	69	27284	-7170	429	-1151	-11	-366
220	1	1866	29	28	56225	322331	135	4218	66	0
6	0	42634	156	168	157214	1629616	5	9164	34	2964
290	1	249	62	13	54323	292754	378	1496	373	0
129	1	422	28	23	57935	318056	150	4216	280	0
65	1	2675	79	54	59017	355178	93	1964	58	36
416	1	965	3	2	73490	204325	421	1442	4	-8
299	1	0	0	0	60720	315380	224	 	 	0
407	1	621	16	11	68005	317046	156	7315	188	-5
252	0	0	0	0	60720	315380	240	 	 	0
257	1	365	8	7	54820	309560	335	13695	300	0
63	0	3122	34	25	94670	414462	54	6308	69	38
21	0	12988	119	73	82340	857217	16	5523	51	601
38	0	5336	81	80	112477	697458	22	6141	93	132
51	0	3160	108	90	108094	530670	33	3062	105	66
386	1	2489	40	29	67804	238125	408	953	15	0
325	1	0	0	0	60720	315380	273	 	 	0
33	0	6984	45	40	80570	741409	19	12031	78	195
91	1	2001	52	36	95551	393343	62	3718	97	19
430	1	15236	90	86	77440	372631	78	1918	11	-158
259	0	0	0	0	60720	315380	239	 	 	0
382	1	530	60	18	73433	317291	155	1955	221	0
369	1	0	0	0	60720	315380	292	 	 	0
428	1	35624	223	244	157278	306275	347	477	3	-70
100	0	1383	11	9	73221	317892	151	10717	85	13
122	1	875	14	12	67000	334280	112	9591	153	3
198	0	0	0	0	60720	315380	259	 	 	0
289	0	0	0	0	60720	315380	254	 	 	0
307	0	0	0	0	60720	315380	222	 	 	0
389	1	72	3	3	60398	314210	312	38070	1591	0
210	0	265	31	3	60720	306948	346	3450	404	
194	1	0	0	0	60720	315380	186	 	 	0
277	1	335	33	23	64175	320398	140	3648	359	0
298	0	0	0	0	60720	315380	230	 	 	0
356	1	0	0	0	60720	315380	269	 	 	0
43	1	4525	226	89	93811	501749	37	1335	67	101
71	0	3045	58	49	27330	202055	422	35	1	31
133	1	0	0	0	60720	315380	196	 	 	0
212	1	0	0	0	60720	315380	206	 	 	0
186	0	638	14	11	60370	333210	114	9515	209	0
262	0	0	0	0	60720	315380	283	 	 	0
378	1	607	11	7	60436	322340	134	11122	201	0
132	1	1558	63	25	55637	369448	80	2690	109	0
279	0	1324	117	29	67440	291841	381	785	69	0
376	1	0	0	0	60720	315380	280	 	 	0
267	0	0	0	0	60720	315380	282	 	 	0
403	1	611	8	6	59190	296919	371	12115	159	-4
303	1	0	0	1	60720	315380	225	 	 	0
388	1	923	8	6	58620	309038	337	13630	118	0
420	1	661	3	1	65920	246541	405	15514	70	-12
114	0	2397	14	13	74020	289513	385	6394	37	6
305	1	366	53	14	61808	344425	101	2725	394	0
346	1	0	0	0	60720	315380	181	 	 	0
354	1	135	2	1	62065	314210	311	57105	847	0
124	0	1659	29	25	107577	480382	40	9668	169	2
136	1	316	9	4	60505	315009	299	12779	364	0
130	1	0	0	0	60720	315380	197	 	 	0
146	1	309	11	9	56535	312878	322	10262	365	0
314	0	49	8	14	64107	322031	137	15254	2500	0
241	1	0	0	0	60720	315380	200	 	 	0
34	0	4519	49	42	102129	597793	29	8118	88	163
384	1	0	0	0	60720	315380	267	 	 	0
120	1	837	69	21	61262	315688	165	1677	138	4
72	1	5119	49	38	39039	378525	69	3643	35	31
79	1	1280	117	52	69465	312378	326	960	88	26
99	1	2564	22	19	130140	403560	59	9253	79	13
108	0	2045	20	16	97890	510834	36	15542	152	10
119	0	2234	16	11	77200	214215	418	888	6	5
102	1	975	23	19	90534	235133	410	1528	36	13
209	0	1136	32	26	48522	343613	103	4488	126	0
293	1	453	21	19	81125	365959	84	7903	366	0
211	1	0	0	0	60720	315380	210	 	 	0
227	1	61	14	9	60720	314551	307	8182	1874	0
234	1	368	17	13	61686	303230	355	6072	281	0
247	0	0	0	0	60720	315380	233	 	 	0
49	1	4901	84	58	121920	469107	41	3204	55	67
88	1	540	14	13	103960	354228	94	11016	286	22
329	1	0	0	0	60720	315380	253	 	 	0
160	1	0	0	0	60720	315380	213	 	 	0
271	0	0	0	0	60720	315380	286	 	 	0
306	1	2	9	12	60735	315394	174	12822	63057	0
172	1	36	4	3	61564	312412	325	28103	3146	0
402	1	776	9	8	64230	333505	113	14834	172	-4
4	1	84738	588	428	-26007	223193	415	39	0	4145
156	1	0	0	0	60720	315380	217	 	 	0
315	1	3	4	8	60761	315656	167	28914	37920	0
399	1	529	9	7	63870	296261	374	10696	182	-3
381	1	0	0	0	60720	315380	264	 	 	0
159	1	405	7	5	60845	336425	111	19489	337	0
181	1	972	34	19	71642	359335	87	4686	164	0
278	1	0	0	0	60720	315380	232	 	 	0
89	1	2099	64	45	106611	308636	339	1697	52	20
112	0	3437	47	33	48022	158492	425	-883	-12	9
201	0	0	0	0	60720	315380	243	 	 	0
344	1	0	0	0	60720	315380	182	 	 	0
22	0	22330	84	67	79801	711969	20	6095	23	446
291	0	0	0	0	60720	315380	258	 	 	0
269	0	0	0	0	60720	315380	221	 	 	0
164	1	483	27	7	60830	306268	348	3936	220	0
358	1	0	0	0	60720	315380	279	 	 	0
118	1	2239	21	17	88590	442882	47	11566	108	5
92	0	2949	41	40	82903	378509	70	4354	61	18
300	1	0	0	9	60720	315380	223	 	 	0
312	1	365	83	32	87192	346611	99	1766	402	0
183	1	2461	57	25	55792	314289	310	2005	46	0
18	0	21950	519	265	114337	856956	17	1266	30	745
126	0	3294	23	23	75832	217193	416	748	5	1
193	1	141	6	7	61630	315366	295	19228	819	0
390	1	572	16	8	58580	307930	342	6746	189	-1
23	1	13326	102	103	165548	702380	21	4925	38	436
50	1	2284	33	41	76403	194493	423	-167	-2	66
206	0	10	2	5	61656	316155	160	58077	11639	0
162	1	0	0	0	60720	315380	207	 	 	0
98	0	1414	198	22	70184	330546	119	659	92	13
75	1	1975	35	34	118881	394510	61	5557	98	30
134	1	43	3	20	60887	312846	323	37615	2613	0
180	1	0	0	0	60720	315380	190	 	 	0
337	1	844	78	20	60925	296139	375	1233	114	0
341	1	304	15	12	62969	295580	376	6372	314	0
154	1	458	11	7	58625	297765	368	8888	213	0
36	1	18562	155	211	102313	377934	72	1148	10	143
192	1	0	0	0	60720	315380	179	 	 	0
17	1	7123	109	102	288170	638830	28	4026	62	769
254	1	622	73	38	73007	304376	352	1430	168	0
374	1	174	1	3	64820	307424	344	107424	618	0
35	1	2220	22	12	301670	644190	26	20190	200	154
377	1	121	24	11	56178	295370	377	3974	788	0
32	0	11819	85	70	106113	574339	31	4404	32	199
260	1	0	0	0	60720	315380	235	 	 	0
274	1	125	12	19	60798	310201	332	9183	883	0
406	1	1182	13	11	70694	327007	124	9770	107	-5
116	1	1503	39	35	56364	343466	104	3679	95	6
320	1	0	0	0	60720	315380	274	 	 	0
367	1	0	0	0	60720	315380	248	 	 	0
288	1	30	4	3	62045	318098	149	29525	3912	0
414	0	3310	33	32	75230	448243	44	7523	75	-6
74	1	554	11	9	79285	325738	125	11431	227	30
250	0	0	0	0	60720	315380	234	 	 	0
224	1	468	21	20	60720	312161	328	5341	239	0
397	1	4917	42	26	52811	243650	406	1039	9	-3
417	1	3256	66	23	35250	407159	57	3139	64	-8
323	1	0	0	0	60720	315380	185	 	 	0
340	1	125	13	10	59734	317698	153	9054	944	0
239	1	0	0	0	60720	315380	195	 	 	0
326	1	22	2	1	60722	312502	324	56251	5154	0
261	0	0	0	0	60720	315380	262	 	 	0
357	1	514	52	15	78780	322378	133	2353	238	0
313	0	0	0	0	60720	315380	226	 	 	0
360	1	0	0	0	60720	315380	270	 	 	0
272	0	0	0	0	60720	315380	285	 	 	0
333	1	0	0	0	60720	315380	276	 	 	0
355	1	0	0	0	60720	315380	272	 	 	0
362	1	0	0	0	60720	315380	268	 	 	0
37	1	10327	91	74	88577	640273	27	4838	43	135
42	1	13718	61	56	96448	345783	100	2390	11	104
57	1	3748	9	6	50350	652925	25	50325	121	53
30	1	14416	361	139	49857	439798	48	664	17	220
404	0	1526	25	21	69351	278990	391	3160	52	-4
80	0	666	171	13	117869	339836	108	818	210	25
422	1	2844	67	74	72683	240897	407	610	14	-15
297	1	0	0	0	60720	315380	229	 	 	0
318	1	368	17	20	61167	297141	370	5714	264	0
175	1	0	0	0	60720	315380	205	 	 	0
285	1	333	13	9	70811	331323	118	10102	394	0
339	1	26	1	1	60896	313880	315	113880	4328	0
243	1	0	0	0	60720	315380	237	 	 	0
167	1	0	0	0	60720	315380	193	 	 	0
411	1	1303	61	57	69863	309422	336	1794	84	-5
155	1	20	3	2	60938	315245	297	38415	5674	0
56	1	2384	97	77	61348	405972	58	2123	86	54
204	0	203	27	12	50804	300962	361	3739	498	0
178	0	71	1	0	60745	316176	159	116176	1646	0
295	1	53	14	10	59506	302409	356	7315	1932	0
396	1	562	13	8	58456	283587	389	6430	149	-3
393	1	622	7	8	60950	263276	398	9039	102	-2
135	1	645	5	4	60720	312075	329	22415	174	0
364	0	1763	24	28	61600	308336	340	4514	61	0
179	1	0	0	0	60720	315380	209	 	 	0
231	1	317	9	7	63915	298700	363	10967	311	0
319	1	1	6	5	60719	315372	293	19229	84213	0
191	1	275	4	7	59500	318745	146	29686	431	0
321	1	0	0	0	60720	315380	246	 	 	0
111	1	936	30	22	67939	408881	56	6963	223	9
29	1	8568	37	34	32168	786690	18	15856	68	223
423	0	11528	70	68	-14545	-83265	431	-4047	-25	-25
202	0	0	0	0	60720	315380	250	 	 	0
232	1	738	10	9	60720	321376	139	12138	164	0
266	1	0	0	0	60720	315380	281	 	 	0
405	1	592	7	7	64270	276898	392	10985	130	-4
176	1	126	10	8	60951	315547	171	11555	921	0
236	1	2	1	0	60743	315487	172	115487	52257	0
142	1	0	0	0	60720	315380	220	 	 	0
13	0	18014	239	393	-1710	1405225	8	5043	67	943
281	0	0	0	0	60720	315380	256	 	 	0
328	0	0	0	0	60720	315380	249	 	 	0
9	0	37704	452	228	60448	983660	14	1734	21	2167
207	0	63	4	2	65688	318574	148	29643	1891	0
73	1	1431	34	35	106885	310768	330	3258	77	30
242	1	94	3	3	61360	312887	321	37629	1200	0
229	1	192	4	2	65276	312339	327	28085	586	0
317	1	32	1	0	59988	314964	301	114964	3603	0
44	1	6869	105	88	117520	379983	68	1714	26	90
349	1	0	0	0	60720	315380	176	 	 	0
140	1	0	0	0	60720	315380	188	 	 	0
361	1	1	4	4	60722	315398	173	28849	172235	0
203	0	0	0	0	60720	315380	247	 	 	0
255	1	2328	94	57	82732	253588	400	570	23	0
308	0	209	13	19	64016	316647	157	8973	558	0
195	1	28	2	3	60890	315688	166	57844	4148	0
280	1	176	28	8	68136	310670	331	3952	629	0
415	1	1920	15	11	79420	165404	424	-2306	-18	-6
3	0	87550	458	412	153198	4111912	3	8541	45	17936
151	1	520	10	7	58650	291650	383	9165	176	0
304	0	0	0	0	60720	315380	231	 	 	0
421	1	1013	2	1	69770	253468	402	26734	53	-14
217	1	15	8	6	60831	315688	164	14461	7687	0
353	1	587	12	10	59595	325699	126	10475	214	0
58	1	5371	66	47	87720	446211	45	3730	46	49
359	1	0	0	0	60720	315380	251	 	 	0
77	1	1012	47	29	114768	368078	82	3576	166	26
228	1	0	0	0	60720	315380	215	 	 	0
83	1	876	59	33	138971	352850	96	2591	174	24
1	0	162556	1081	807	213118	6282154	1	5626	37	56289
14	1	43556	247	190	32648	227132	414	110	1	929
395	0	3425	12	9	83620	283910	388	6993	25	-3
78	1	810	43	11	74015	236761	409	855	45	26
190	1	0	0	0	60720	315380	184	 	 	0
311	0	0	0	0	60720	315380	244	 	 	0
39	0	2365	79	83	191778	550608	32	4438	148	120
101	0	1261	33	31	76114	307528	343	3258	85	13
256	1	0	0	0	60720	315380	238	 	 	0
123	1	1585	107	112	93099	355864	92	1457	98	2
24	1	16189	295	290	116384	358589	89	538	10	379
284	1	0	0	0	60720	315380	242	 	 	0
273	0	0	0	0	60720	315380	265	 	 	0
121	1	10579	92	92	110309	375195	76	1904	17	4
214	1	474	20	10	61977	288985	386	4449	188	0
348	1	0	0	0	60720	315380	178	 	 	0
87	1	3642	86	100	90262	458343	42	3004	71	22
170	1	0	0	0	60720	315380	192	 	 	0
200	0	472	20	19	80045	269587	397	3479	148	0
158	1	98	2	2	61490	315236	298	57618	1179	0
427	1	3999	30	21	51252	42754	428	-5242	-39	-58
233	1	0	0	0	60720	315380	216	 	 	0
345	1	621	48	13	60720	308256	341	2255	174	0
375	1	0	0	0	60720	315380	266	 	 	0
173	1	0	0	0	60720	315380	189	 	 	0
301	0	30	4	4	60798	313164	320	28291	3808	0
368	1	0	0	0	60720	315380	291	 	 	0
106	1	746	23	29	71561	269661	396	3029	93	10
208	0	0	0	0	60720	315380	228	 	 	0
282	1	0	0	0	60720	315380	255	 	 	0
249	0	0	0	0	60720	315380	260	 	 	0
240	1	0	0	0	60720	315380	194	 	 	0
52	0	4150	150	136	134759	518365	35	2122	77	66
55	0	4658	158	114	156608	233773	411	214	7	58
84	1	814	18	15	39625	301881	358	5660	125	23
143	1	1002	15	11	56750	298568	364	6571	98	0
205	0	496	17	12	87390	325479	128	7381	253	0
141	1	389	14	8	58990	325506	127	8965	322	0
12	1	12679	110	122	48020	984885	13	7135	62	1871
177	1	400	152	113	60720	313267	319	745	283	0
238	1	53	6	6	60349	315793	163	19299	2197	0
331	1	0	0	0	60720	315380	278	 	 	0
426	0	5109	97	82	67038	215362	417	158	3	-31
104	1	576	18	8	113761	314073	313	6337	198	12
409	1	438	11	9	58320	298096	366	8918	224	-5
292	1	165	24	12	62841	325176	130	5216	759	0
40	1	4069	145	131	79804	207393	420	51	2	119
185	0	23	5	5	62555	314806	306	22961	4974	0
59	1	1285	107	51	99489	341340	106	1321	110	49
82	0	4677	75	66	90131	426280	52	3017	48	24
15	0	24811	505	280	95350	929118	15	1444	29	822
253	1	167	2	1	64245	307322	345	53661	642	0
342	1	0	0	0	60720	315380	187	 	 	0
45	1	4628	62	39	69159	387475	64	3024	41	85
189	1	226	5	5	65745	291787	382	18357	406	0
76	0	1765	20	20	77623	247060	404	2353	27	28
145	1	460	15	15	63346	329784	122	8652	282	0
144	1	36	3	4	60894	315834	162	38611	3215	0
408	1	989	11	12	58930	304555	350	9505	106	-5
96	0	3055	43	30	60247	376641	75	4108	58	14
265	0	0	0	0	60720	315380	288	 	 	0
161	1	0	0	0	60720	315380	212	 	 	0
246	0	0	0	0	60720	315380	236	 	 	0
237	1	0	0	0	60720	315380	202	 	 	0
230	1	0	0	0	60720	315380	214	 	 	0
66	1	13253	947	251	90829	357760	90	167	12	35
244	1	24	8	7	59818	315637	168	14455	4772	0
153	1	0	0	5	60720	315380	208	 	 	0
199	0	0	0	0	60720	315380	261	 	 	0
222	1	0	0	0	60720	315380	198	 	 	0
363	1	0	0	0	60720	315380	289	 	 	0
387	1	131	6	3	59661	327071	123	21179	969	0
85	1	514	15	15	102725	377516	73	11834	346	23
103	1	3366	80	55	108479	299243	362	1241	29	12
60	0	9327	101	85	87419	387699	63	1858	20	44
309	1	384	22	17	54683	309836	333	4993	286	0
20	1	17821	373	277	122844	444477	46	655	14	643
391	1	397	10	10	62710	322327	136	12233	308	-1
139	1	897	5	4	60720	314913	303	22983	128	0
370	1	218	21	7	60720	315553	170	5503	531	0
31	0	3369	28	26	87161	688779	23	17456	145	217
109	1	5702	61	47	101481	321896	138	1998	21	10
41	1	8636	855	203	128294	301607	359	119	12	108
215	1	534	7	5	62620	304485	351	14926	196	0
332	1	0	0	0	60720	315380	275	 	 	0
310	0	0	0	0	60720	315380	227	 	 	0
410	1	726	3	3	69980	231861	412	10620	44	-5
81	1	1380	26	29	60982	347385	98	5669	107	25
365	1	180	11	9	59635	316386	158	10581	647	0
53	0	7285	115	97	188873	491303	39	2533	40	59
67	1	880	74	15	80791	261216	399	827	70	34
335	1	1	2	1	60727	315388	175	57694	117743	0
380	1	0	0	0	60720	315380	271	 	 	0
334	1	96	5	4	60379	313729	316	22746	1188	0
95	1	1889	45	43	37527	358649	88	3526	84	14
8	0	45187	353	267	234817	1926517	4	4891	38	2854
221	1	288	4	3	60510	296656	373	24164	335	0
419	1	1270	26	24	69206	275311	393	2897	59	-10
424	1	6526	26	20	55830	-42143	430	-9313	-37	-28
327	0	0	0	0	60720	315380	252	 	 	0
263	1	226	12	13	72835	343929	102	11994	636	0
394	1	694	8	6	68060	367655	83	20957	241	-2
286	1	0	0	0	60720	315380	241	 	 	0
283	1	249	72	26	56726	313491	317	1576	455	0

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time34 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 34 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104690&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]34 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104690&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104690&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time34 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Multiple Linear Regression - Estimated Regression Equation
CCScore [t] = + 112525.671973323 -0.198059963761599Rank[t] + 0.00550742537579447Group[t] -0.273496863022098Costs[t] -0.137453070224780Trades[t] -0.0756323147982971Orders[t] -0.340817921286784Dividends[t] -0.121532963538801Wealth[t] -0.210333786633402WRank[t] -0.0703752629021607`Profit/Trades`[t] -0.00501056997828915`Profit/Cost`[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
CCScore
[t] =  +  112525.671973323 -0.198059963761599Rank[t] +  0.00550742537579447Group[t] -0.273496863022098Costs[t] -0.137453070224780Trades[t] -0.0756323147982971Orders[t] -0.340817921286784Dividends[t] -0.121532963538801Wealth[t] -0.210333786633402WRank[t] -0.0703752629021607`Profit/Trades`[t] -0.00501056997828915`Profit/Cost`[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104690&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]CCScore
[t] =  +  112525.671973323 -0.198059963761599Rank[t] +  0.00550742537579447Group[t] -0.273496863022098Costs[t] -0.137453070224780Trades[t] -0.0756323147982971Orders[t] -0.340817921286784Dividends[t] -0.121532963538801Wealth[t] -0.210333786633402WRank[t] -0.0703752629021607`Profit/Trades`[t] -0.00501056997828915`Profit/Cost`[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104690&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104690&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Estimated Regression Equation
CCScore [t] = + 112525.671973323 -0.198059963761599Rank[t] + 0.00550742537579447Group[t] -0.273496863022098Costs[t] -0.137453070224780Trades[t] -0.0756323147982971Orders[t] -0.340817921286784Dividends[t] -0.121532963538801Wealth[t] -0.210333786633402WRank[t] -0.0703752629021607`Profit/Trades`[t] -0.00501056997828915`Profit/Cost`[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)112525.67197332310810.28895710.409100
Rank-0.1980599637615990.071096-2.78580.0055810.002791
Group0.005507425375794470.0592080.0930.9259330.462967
Costs-0.2734968630220980.063185-4.32851.9e-059e-06
Trades-0.1374530702247800.040373-3.40460.0007260.000363
Orders-0.07563231479829710.028988-2.60910.0094030.004702
Dividends-0.3408179212867840.076378-4.46231e-055e-06
Wealth-0.1215329635388010.041276-2.94440.0034160.001708
WRank-0.2103337866334020.053868-3.90460.000115.5e-05
`Profit/Trades`-0.07037526290216070.026679-2.63790.0086520.004326
`Profit/Cost`-0.005010569978289150.019697-0.25440.7993270.399664

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 112525.671973323 & 10810.288957 & 10.4091 & 0 & 0 \tabularnewline
Rank & -0.198059963761599 & 0.071096 & -2.7858 & 0.005581 & 0.002791 \tabularnewline
Group & 0.00550742537579447 & 0.059208 & 0.093 & 0.925933 & 0.462967 \tabularnewline
Costs & -0.273496863022098 & 0.063185 & -4.3285 & 1.9e-05 & 9e-06 \tabularnewline
Trades & -0.137453070224780 & 0.040373 & -3.4046 & 0.000726 & 0.000363 \tabularnewline
Orders & -0.0756323147982971 & 0.028988 & -2.6091 & 0.009403 & 0.004702 \tabularnewline
Dividends & -0.340817921286784 & 0.076378 & -4.4623 & 1e-05 & 5e-06 \tabularnewline
Wealth & -0.121532963538801 & 0.041276 & -2.9444 & 0.003416 & 0.001708 \tabularnewline
WRank & -0.210333786633402 & 0.053868 & -3.9046 & 0.00011 & 5.5e-05 \tabularnewline
`Profit/Trades` & -0.0703752629021607 & 0.026679 & -2.6379 & 0.008652 & 0.004326 \tabularnewline
`Profit/Cost` & -0.00501056997828915 & 0.019697 & -0.2544 & 0.799327 & 0.399664 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104690&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]112525.671973323[/C][C]10810.288957[/C][C]10.4091[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Rank[/C][C]-0.198059963761599[/C][C]0.071096[/C][C]-2.7858[/C][C]0.005581[/C][C]0.002791[/C][/ROW]
[ROW][C]Group[/C][C]0.00550742537579447[/C][C]0.059208[/C][C]0.093[/C][C]0.925933[/C][C]0.462967[/C][/ROW]
[ROW][C]Costs[/C][C]-0.273496863022098[/C][C]0.063185[/C][C]-4.3285[/C][C]1.9e-05[/C][C]9e-06[/C][/ROW]
[ROW][C]Trades[/C][C]-0.137453070224780[/C][C]0.040373[/C][C]-3.4046[/C][C]0.000726[/C][C]0.000363[/C][/ROW]
[ROW][C]Orders[/C][C]-0.0756323147982971[/C][C]0.028988[/C][C]-2.6091[/C][C]0.009403[/C][C]0.004702[/C][/ROW]
[ROW][C]Dividends[/C][C]-0.340817921286784[/C][C]0.076378[/C][C]-4.4623[/C][C]1e-05[/C][C]5e-06[/C][/ROW]
[ROW][C]Wealth[/C][C]-0.121532963538801[/C][C]0.041276[/C][C]-2.9444[/C][C]0.003416[/C][C]0.001708[/C][/ROW]
[ROW][C]WRank[/C][C]-0.210333786633402[/C][C]0.053868[/C][C]-3.9046[/C][C]0.00011[/C][C]5.5e-05[/C][/ROW]
[ROW][C]`Profit/Trades`[/C][C]-0.0703752629021607[/C][C]0.026679[/C][C]-2.6379[/C][C]0.008652[/C][C]0.004326[/C][/ROW]
[ROW][C]`Profit/Cost`[/C][C]-0.00501056997828915[/C][C]0.019697[/C][C]-0.2544[/C][C]0.799327[/C][C]0.399664[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104690&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104690&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)112525.67197332310810.28895710.409100
Rank-0.1980599637615990.071096-2.78580.0055810.002791
Group0.005507425375794470.0592080.0930.9259330.462967
Costs-0.2734968630220980.063185-4.32851.9e-059e-06
Trades-0.1374530702247800.040373-3.40460.0007260.000363
Orders-0.07563231479829710.028988-2.60910.0094030.004702
Dividends-0.3408179212867840.076378-4.46231e-055e-06
Wealth-0.1215329635388010.041276-2.94440.0034160.001708
WRank-0.2103337866334020.053868-3.90460.000115.5e-05
`Profit/Trades`-0.07037526290216070.026679-2.63790.0086520.004326
`Profit/Cost`-0.005010569978289150.019697-0.25440.7993270.399664






Multiple Linear Regression - Regression Statistics
Multiple R0.363573085746835
R-squared0.132185388679476
Adjusted R-squared0.111523136028987
F-TEST (value)6.39743356716478
F-TEST (DF numerator)10
F-TEST (DF denominator)420
p-value3.46148265606416e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation128774.834980933
Sum Squared Residuals6964842412233.94

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.363573085746835 \tabularnewline
R-squared & 0.132185388679476 \tabularnewline
Adjusted R-squared & 0.111523136028987 \tabularnewline
F-TEST (value) & 6.39743356716478 \tabularnewline
F-TEST (DF numerator) & 10 \tabularnewline
F-TEST (DF denominator) & 420 \tabularnewline
p-value & 3.46148265606416e-09 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 128774.834980933 \tabularnewline
Sum Squared Residuals & 6964842412233.94 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104690&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.363573085746835[/C][/ROW]
[ROW][C]R-squared[/C][C]0.132185388679476[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.111523136028987[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]6.39743356716478[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]10[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]420[/C][/ROW]
[ROW][C]p-value[/C][C]3.46148265606416e-09[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]128774.834980933[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]6964842412233.94[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104690&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104690&T=3

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Regression Statistics
Multiple R0.363573085746835
R-squared0.132185388679476
Adjusted R-squared0.111523136028987
F-TEST (value)6.39743356716478
F-TEST (DF numerator)10
F-TEST (DF denominator)420
p-value3.46148265606416e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation128774.834980933
Sum Squared Residuals6964842412233.94






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1051984.0821382791-51984.0821382791
23918411.0453418126-18372.0453418126
3051384.7569158271-51384.7569158271
4038448.7630979363-38448.7630979363
530528509.3908124449-28204.3908124449
6-955142.6551073764-55151.6551073764
7-155708.7680428237-55709.7680428237
8052533.0889747368-52533.0889747368
9047951.0220221669-47951.0220221669
10054073.201371615-54073.201371615
113329173.1596004818-29140.1596004818
123225317.6328841357-25285.6328841357
13153429.4878996622-53428.4878996622
14177323.8543594538-77322.8543594538
15179134.9065203137-79133.9065203137
16180406.274680172-80405.274680172
17179142.9386618445-79141.9386618445
18179283.3001273575-79282.3001273575
19178622.9433139361-78621.9433139361
20178460.201292914-78459.201292914
213580209.0945426696-80174.0945426696
22030726.2388301576-30726.2388301576
2312117326131.039610136295041.9603898638
245753024770.832996273932759.1670037261
256204132125.138556264429915.8614437356
266072043569.631864998917150.3681350011
2713699645210.142774198791785.8572258013
286072026858.129548332933861.8704516671
2911542256.6665796992-42141.6665796992
30387103032.292028438-102645.292028438
31219106058.048427910-105839.048427910
3243035453.5739217394-35023.5739217394
33288-16296.521833215816584.5218332158
342224784.1197506741-24762.1197506741
351839844.6969428017-39826.6969428017
361245838757.3479990894-26299.3479990894
373248098.7862822128-48066.7862822128
3829-203191.121554988203220.121554988
394211264.0719439271-11222.0719439271
408448348.41712489533-7504.41712489533
4124226309.1170442768-26067.1170442768
4212317485.2155959522-17362.2155959522
4318438791.7671509101-38607.7671509101
444015254.77324521126-4853.77324521126
45371-925.8835066314811296.88350663148
46203398.428877639647-195.428877639647
47368948784.7819532842-45095.7819532842
4856730368.9202622046-29801.9202622046
492766425352.63892616572311.36107383431
501686905.434311472613780.565688527387
51116441638.6696386413-40474.6696386413
521582458331.0538866652-42507.0538866652
53657512425.3256008071-5850.32560080706
5437597-78210.422861995115807.422861995
55314-35548.475756091935862.4757560919
56193244630.649477785-42698.649477785
57569257702.5455458939-52010.5455458939
58045048.6944462182-45048.6944462182
59052510.211710181-52510.211710181
60364839100733.202203026264105.797796974
61230621112086.135091829118534.864908171
62315877112122.356861639203754.643138361
63125390110220.96864438015169.0313556197
64314882112115.619519034202766.380480966
65370837110308.891698613260528.108301387
66330068112054.614321119218013.385678881
67324385111839.097210381212545.902789619
68315380112326.948392930203053.051607070
6911409-466.18878943245411875.1887894325
70111577115.6433306854-76000.6433306854
7113337-211180.636253466224517.636253466
72077622.5047337501-77622.5047337501
73046561.4052306707-46561.4052306707
74052333.5475925108-52333.5475925108
75050190.7120526257-50190.7120526257
76052755.5158291808-52755.5158291808
7723873089.044725435-72851.044725435
783040-127304.349417872130344.349417872
79049302.1727311366-49302.1727311366
80153422.9134049436-53421.9134049436
813780218.6776460638-80181.6776460638
82015917.2363201625-15917.2363201625
836072026509.817682617234210.1823173828
8430844155.9955119562-43847.9955119562
85296103407.745332790-103111.745332790
8635795148.3444731203-94791.3444731203
87110104918.126631041-104808.126631041
88245103624.092263071-103379.092263071
8946943553.628428173-43084.628428173
9034-146656.646355435146690.646355435
91-3573756.4766363198-73791.4766363198
9246336367.4094531073-35904.4094531073
9395434186.730996354-33232.730996354
9422638796.939891209-38570.939891209
95276-453.76124920782729.76124920782
96383-2161.995672625332544.99567262533
979313534.4433239475-13441.4433239475
98302-47067.314959643447369.3149596434
99385-5269.471667337425654.47166733742
100225-2041.44974991362266.4497499136
101275-12220.090604479412495.0906044794
10218073381.07163285502617691.9283671450
1031866106436.517919465-104570.517919465
1044263451381.1119585872-8747.11195858718
105249-158269.167337541158518.167337541
10642256823.489801442-56401.489801442
107267551470.5966667093-48795.5966667093
10896546828.7494450594-45863.7494450594
109063797.554448346-63797.554448346
1101152458.5940672866-52447.5940672866
111099711.4355116967-99711.4355116967
112309560101829.770943752207730.229056248
113414462111585.244878915302876.755121085
114857217110502.827218467746714.172781533
115697458111218.748030431586239.251969569
116530670111552.992953134419117.007046866
117238125111815.989299189126309.010700811
118315380112116.846502234203263.153497766
1191203142790.620312275-30759.620312275
120371864533.3022583158-60815.3022583158
121191868682.7204458598-66764.7204458598
122077484.1719883014-77484.1719883014
123048535.5660114009-48535.5660114009
124153365.5011430724-53364.5011430724
125060449.406719651-60449.406719651
126176768.6582663855-76767.6582663855
127076620.2602023118-76620.2602023118
128080177.5438022373-80177.5438022373
1296072026465.098000560034254.9019994400
13031244158.7675617654-43846.7675617654
13134699059.5406524592-98713.5406524592
132076824.0443492215-76824.0443492215
133051274.0348928144-51274.0348928144
134153392.9593488838-53391.9593488838
13522680203.1345301216-79977.1345301216
13658-24373.431224330224431.4312243302
137057312.2708773604-57312.2708773604
1386072026505.326448191734214.6735518083
13911443897.5052499632-43783.5052499632
140283104752.850242464-104469.850242464
14120137231.711776345-37030.711776345
14210927810.4535385162-27701.4535385162
1436942715.5360209428-42646.5360209428
14426738793.2130202708-38526.2130202708
145611383.483266107156227.516733892844
146051326.5332313509-51326.5332313509
147652439.6198238678-52433.6198238678
1481100545.034958793-100544.034958793
1491398400.3333027612-98387.3333027612
1501498407.429377959-98393.429377959
1510101706.634047475-101706.634047475
152314210101831.906180554212378.093819446
153480382111789.042266213368592.957733787
154315009112170.129216435202838.870783565
155315380112122.863746969203257.136253031
1561026278506.6674491575-68244.6674491575
1571525476211.7972878361-60957.7972878361
158076997.0518144014-76997.0518144014
1591633236.29850283738-3073.29850283738
160153369.3318438351-53368.3318438351
161179767.9541182146-79766.9541182146
162177030.7274608945-77029.7274608945
163178835.9155325496-78834.9155325496
164062439.7262720458-62439.7262720458
165058091.1290936418-58091.1290936418
166185014.82421183-85013.82421183
167081764.6925839668-81764.6925839668
168179027.4823750553-79026.4823750553
169172534.520299611-72533.520299611
1701480206.90855512-80192.90855512
1711725478.7416941864-25461.7416941864
172029274.6169247696-29274.6169247696
17312192025518.745982330396401.2540176697
17410396018580.926978465685379.0730215344
1756072039201.737266836821518.2627331632
17621344187.4263340876-43974.4263340876
17730638792.4859858919-38486.4859858919
178172-6719.781586689066891.78158668906
179402-4779.579615277745181.57961527774
1804-9142.066957860529146.06695786052
18115638591.9033504311-38435.9033504311
1823397.377871908776-394.377871908776
18352938015.4398733956-37486.4398733956
184050611.7183509841-50611.7183509841
185552500.955101569-52495.955101569
1861999502.0970176999-99483.0970176999
187099600.9712354923-99600.9712354923
188308636101359.971606979207276.028393021
189158492111771.89957010446720.1004298960
190315380112119.234412486203260.765587514
191077415.9931659797-77415.9931659797
192446-7761.056320747358207.05632074735
193053388.8923421925-53388.8923421925
1942780214.296126013-80187.296126013
195028600.0927220894-28600.0927220894
1968859026053.454319481362536.5456805187
1978290320975.534746661361927.4652533387
1986072036255.615304633024464.3846953670
1999942005.6927156985-41906.6927156985
200310105800.800194537-105490.800194537
2011792186.239057746-92169.239057746
202416104498.774202499-104082.774202499
203295106383.025360203-106088.025360203
204342102804.140478887-102462.140478887
2052191442.0282794671-91421.0282794671
206423104281.778612289-103858.778612289
207160106584.493971940-106424.493971940
20820795211.2818290265-95004.2818290265
2099234243.0418956813-34151.0418956813
2109814778.6529681931-14680.6529681931
211261339094.1757714071-36481.1757714071
21233738798.4673385583-38461.4673385583
2133416655.72399240629-6314.72399240629
2141545611.90276113413-5457.90276113413
215364677.2721330092-4641.2721330092
216192-24240.174980524424432.1749805244
2177123422.9679528680946700.0320471319
218622-55679.503383035456301.5033830354
21917450146.0865977219-49972.0865977219
220222015825.4337049197-13605.4337049197
221121-65496.625984250965617.6259842509
2221181955076.0152071693-43257.0152071693
22302975.63608608226-2975.63608608226
2241952508.8521686539-52489.8521686539
22511100639.813904034-100628.813904034
2263598821.4912799071-98786.4912799071
2270102671.369161323-102671.369161323
228315380101829.124961735213550.875038265
2292952576956.5149674224-47431.5149674224
230752364003.3044830156-56480.3044830156
2311143172842.8271326502-61411.8271326502
232077444.9129567166-77444.9129567166
233053270.5394570308-53270.5394570308
234-363325.5218125579-63328.5218125579
235-849811.4799645645-49819.4799645645
236153397.5585467333-53396.5585467333
237178907.1370475124-78906.1370475124
238280191.3931912918-80189.3931912918
239021281.1782898015-21281.1782898015
2407878026334.989708420252445.0102915798
2416072047893.301504594312826.6984954057
24227044159.7870195575-43889.7870195575
24333338792.5618685802-38459.5618685802
2440387.392416543903-387.392416543903
245052504.2159069175-52504.2159069175
246640273100436.726100408539836.273899592
247345783110345.915350738235437.084649262
248652925111786.970277527541138.029722473
249439798110667.349887452329130.650112548
250278990111914.693882102167075.306117898
251339836111737.497599480228098.50240052
252240897111686.535109242129210.464890758
253315380112119.608513024203260.391486976
254571478578.432898424-72864.432898424
255077457.939633482-77457.939633482
256047237.6399949077-47237.6399949077
257045447.7205900174-45447.7205900174
258153403.3328155355-53402.3328155355
2596180167.7779151284-80106.7779151284
260328030.5394958896-28027.5394958896
2619721738.5346711874-21641.5346711874
262271567.88437143016-1540.88437143016
263129950.9993310212-29949.9993310212
2641416955.1908217616-16941.1908217616
2651328796.6809836748-28783.6809836748
266734609.8242297449-34602.8242297449
267540050.040529712-40045.040529712
2682425622.5392268472-25598.5392268472
269028083.8066115605-28083.8066115605
2706391526429.719756055637485.2802439444
2716071950215.471903473910503.5280965261
2725950033106.936053349226393.0639466508
2736072041108.058673599919611.9413264001
2745642890.3117495837-42834.3117495837
27518102003.912587153-101985.912587153
276431106755.529550307-106324.529550307
277250107452.735339250-107202.735339250
27816437375.0991297700-37211.0991297700
27940538792.5368282165-38387.5368282165
28017610925.8817093222-10749.8817093222
281236-2147.609230234092383.60923023409
282142-27581.86759958827723.867599588
28318014418.27161298459417595.7283870154
2840-82149.923664487782149.9236644877
285052509.7684785012-52509.7684785012
28698366097171.3471561968886488.652843803
287318574111875.415899859206698.584100141
288310768111417.488238324199350.511761676
289312887112114.713888905200772.286111095
290312339111972.090400210200366.909599790
291314964112126.323522932202837.676477068
292379983110658.203556764269324.796443236
293315380112171.183623255203208.816376745
294077485.0264801884-77485.0264801884
295050497.0133200781-50497.0133200781
296153408.7054386362-53407.7054386362
297081286.3200131945-81286.3200131945
298178468.8442600207-78467.8442600207
299172313.1891541467-72312.1891541467
300178899.0976793003-78898.0976793003
301088856.0021979606-88856.0021979606
3021-239287.102247166239288.102247166
303081018.1093743663-81018.1093743663
304280154.1765615469-80152.1765615469
305841447.6638134447-41439.6638134447
3061222706.4401375872-22694.4401375872
3076622852.5674737648-22786.5674737648
3080-9423.341103577019423.34110357701
30911476826327.466212744388440.5337872557
3106072038543.971789736322176.0282102637
3119638190.4522250322-38094.4522250322
31219828.2334987847-9827.2334987847
31341477664.4056894305-77250.4056894305
314388103717.535149784-103329.535149784
315409104452.065103509-104043.065103509
316184106469.856381181-106285.856381181
3173938795.6620439488-38756.6620439488
318101-90604.373101151290705.3731011512
3192561218.59837092385-962.598370923846
3201585408.3377301516761176.66226984832
3211618937610.6577567214-21421.6577567213
322031058.008794902-31058.008794902
323052517.511643903-52517.511643903
324375195100290.200374455274904.799625545
325288985112126.323013129176858.676986871
326315380112091.403280007203288.596719993
327300460908.2012741324-57904.2012741324
328077497.718991571-77497.718991571
329051979.2262176166-51979.2262176166
330049075.2270407685-49075.2270407685
331-5888957.1393050346-89015.1393050346
332153408.8385432363-53407.8385432363
333180310.3675919587-80309.3675919587
334080199.4864207749-80199.4864207749
3356079826469.465800721834328.5341992782
3366072042115.720286835018604.2797131650
33739643398.0529985053-43002.0529985053
338228106041.515803240-105813.515803240
33924938794.454703858-38545.454703858
3400397.628159158063-397.628159158063
34113652255.1918534147-52119.1918534147
34211488025.316437781-87911.316437781
3431582565.4707305681-82550.4707305681
34411105358.763163616-105347.763163616
34512101860.035492401-101848.035492401
346895896.2867517512-95888.2867517512
347122100448.952383483-100326.952383483
348113106761.737125082-106648.737125082
3496101980.818485746-101974.818485746
350099408.2688707023-99408.2688707023
351215362101145.167644927114216.832355073
352314073111794.825669010202278.174330990
353298096112063.108580695186032.891419305
354325176112078.481079256213097.518920744
355207393111383.60196555996009.3980344414
356314806112094.236771516202711.763228484
357341340110545.583789004230794.416210996
358426280111428.494066366314851.505933634
359929118108895.391708080820222.60829192
360307322112047.569053789195274.430946211
361315380112246.841374192203133.158625808
362302470284.8430793366-67260.8430793366
3631835778081.8909518386-59724.8909518386
364235378566.0595704073-76213.0595704073
365865275905.9068973812-67253.9068973812
3663861177390.2886142145-38779.2886142145
367950577867.315325648-68362.315325648
368410873050.4716691736-68942.4716691736
369077473.9239480622-77473.9239480622
370053424.4362422015-53424.4362422015
371080196.249596069-80196.249596069
3726072026498.367007187234221.6329928128
3739037184.109978968-37094.109978968
374168106647.622493980-106479.622493980
375208103813.419486878-103605.419486878
37622238793.8488328374-38571.8488328374
3770396.308985596709-396.308985596709
378352490.6426106174-52487.6426106174
3791599445.7005195782-99430.7005195782
3805592328.4986873729-92273.4986873729
3818591748.3272569415-91663.3272569415
3821796992.6662173235-96975.6662173235
383277101343.881650793-101066.881650793
3841090244.5814936573-90234.5814936573
3854100058.655549078-100054.655549078
386798921.5718627423-98914.5718627423
38726101153.294023462-101127.294023462
3884796150.3281979054-96103.3281979054
38920393264.5587373232-93061.5587373232
390588560.6314300246-88555.6314300246
391099597.080321643-99597.080321643
392315380101833.503324737213546.496675263
3931062081273.6435062477-70653.6435062477
394566975103.5040668951-69434.5040668951
3951058177576.4018597897-66995.4018597897
396253337478.9211866526-34945.9211866526
39782777027.7919647552-76200.7919647552
3985769477450.0271981998-19756.0271981998
399054133.655596195-54133.655596195
400052052.4458082697-52052.4458082697
4011455336.1652217946-55322.1652217946
4022854-214413.529305946217267.529305946
403053945.306278227-53945.306278227
404-1054757.1196607063-54767.1196607063
405-2897310.818925129-97338.818925129
406153383.0542496367-53382.0542496367
407174825.704039787-74824.704039787
408172597.729860615-72596.729860615
4097280183.6225203528-80111.6225203528
4101726694.6111752033-26677.6111752033
4114724894.6611654333-24847.6611654333
4126-22472.307716474122478.3077164741
4131123908.8390588624-23897.8390588624
4141057075.40236258142-6970.40236258142
4151731494.8782040044-31477.8782040044
416832854.221208905-32846.221208905
417831932.1019103272-31924.1019103272
4181424554.5459513553-24540.5459513553
419618850.6989151894-18844.6989151894
4205328118.5914832437-28065.5914832437
421634091.11681638275-4028.11681638275
4220-3478.465869829633478.46586982963
4236072025511.982610867635208.0173891324
4246180844659.278578210517148.7214217895
4256043848075.997356372712362.0026436273
4265859851337.90142963057260.09857036949
4275978146811.690268612712969.3097313873
4286094547528.300133926413416.6998660736
4296112446587.164488441114536.8355115589
4306072046828.957949848813891.0420501512
43136545040.4566629128-44675.4566629128

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 0 & 51984.0821382791 & -51984.0821382791 \tabularnewline
2 & 39 & 18411.0453418126 & -18372.0453418126 \tabularnewline
3 & 0 & 51384.7569158271 & -51384.7569158271 \tabularnewline
4 & 0 & 38448.7630979363 & -38448.7630979363 \tabularnewline
5 & 305 & 28509.3908124449 & -28204.3908124449 \tabularnewline
6 & -9 & 55142.6551073764 & -55151.6551073764 \tabularnewline
7 & -1 & 55708.7680428237 & -55709.7680428237 \tabularnewline
8 & 0 & 52533.0889747368 & -52533.0889747368 \tabularnewline
9 & 0 & 47951.0220221669 & -47951.0220221669 \tabularnewline
10 & 0 & 54073.201371615 & -54073.201371615 \tabularnewline
11 & 33 & 29173.1596004818 & -29140.1596004818 \tabularnewline
12 & 32 & 25317.6328841357 & -25285.6328841357 \tabularnewline
13 & 1 & 53429.4878996622 & -53428.4878996622 \tabularnewline
14 & 1 & 77323.8543594538 & -77322.8543594538 \tabularnewline
15 & 1 & 79134.9065203137 & -79133.9065203137 \tabularnewline
16 & 1 & 80406.274680172 & -80405.274680172 \tabularnewline
17 & 1 & 79142.9386618445 & -79141.9386618445 \tabularnewline
18 & 1 & 79283.3001273575 & -79282.3001273575 \tabularnewline
19 & 1 & 78622.9433139361 & -78621.9433139361 \tabularnewline
20 & 1 & 78460.201292914 & -78459.201292914 \tabularnewline
21 & 35 & 80209.0945426696 & -80174.0945426696 \tabularnewline
22 & 0 & 30726.2388301576 & -30726.2388301576 \tabularnewline
23 & 121173 & 26131.0396101362 & 95041.9603898638 \tabularnewline
24 & 57530 & 24770.8329962739 & 32759.1670037261 \tabularnewline
25 & 62041 & 32125.1385562644 & 29915.8614437356 \tabularnewline
26 & 60720 & 43569.6318649989 & 17150.3681350011 \tabularnewline
27 & 136996 & 45210.1427741987 & 91785.8572258013 \tabularnewline
28 & 60720 & 26858.1295483329 & 33861.8704516671 \tabularnewline
29 & 115 & 42256.6665796992 & -42141.6665796992 \tabularnewline
30 & 387 & 103032.292028438 & -102645.292028438 \tabularnewline
31 & 219 & 106058.048427910 & -105839.048427910 \tabularnewline
32 & 430 & 35453.5739217394 & -35023.5739217394 \tabularnewline
33 & 288 & -16296.5218332158 & 16584.5218332158 \tabularnewline
34 & 22 & 24784.1197506741 & -24762.1197506741 \tabularnewline
35 & 18 & 39844.6969428017 & -39826.6969428017 \tabularnewline
36 & 12458 & 38757.3479990894 & -26299.3479990894 \tabularnewline
37 & 32 & 48098.7862822128 & -48066.7862822128 \tabularnewline
38 & 29 & -203191.121554988 & 203220.121554988 \tabularnewline
39 & 42 & 11264.0719439271 & -11222.0719439271 \tabularnewline
40 & 844 & 8348.41712489533 & -7504.41712489533 \tabularnewline
41 & 242 & 26309.1170442768 & -26067.1170442768 \tabularnewline
42 & 123 & 17485.2155959522 & -17362.2155959522 \tabularnewline
43 & 184 & 38791.7671509101 & -38607.7671509101 \tabularnewline
44 & 401 & 5254.77324521126 & -4853.77324521126 \tabularnewline
45 & 371 & -925.883506631481 & 1296.88350663148 \tabularnewline
46 & 203 & 398.428877639647 & -195.428877639647 \tabularnewline
47 & 3689 & 48784.7819532842 & -45095.7819532842 \tabularnewline
48 & 567 & 30368.9202622046 & -29801.9202622046 \tabularnewline
49 & 27664 & 25352.6389261657 & 2311.36107383431 \tabularnewline
50 & 1686 & 905.434311472613 & 780.565688527387 \tabularnewline
51 & 1164 & 41638.6696386413 & -40474.6696386413 \tabularnewline
52 & 15824 & 58331.0538866652 & -42507.0538866652 \tabularnewline
53 & 6575 & 12425.3256008071 & -5850.32560080706 \tabularnewline
54 & 37597 & -78210.422861995 & 115807.422861995 \tabularnewline
55 & 314 & -35548.4757560919 & 35862.4757560919 \tabularnewline
56 & 1932 & 44630.649477785 & -42698.649477785 \tabularnewline
57 & 5692 & 57702.5455458939 & -52010.5455458939 \tabularnewline
58 & 0 & 45048.6944462182 & -45048.6944462182 \tabularnewline
59 & 0 & 52510.211710181 & -52510.211710181 \tabularnewline
60 & 364839 & 100733.202203026 & 264105.797796974 \tabularnewline
61 & 230621 & 112086.135091829 & 118534.864908171 \tabularnewline
62 & 315877 & 112122.356861639 & 203754.643138361 \tabularnewline
63 & 125390 & 110220.968644380 & 15169.0313556197 \tabularnewline
64 & 314882 & 112115.619519034 & 202766.380480966 \tabularnewline
65 & 370837 & 110308.891698613 & 260528.108301387 \tabularnewline
66 & 330068 & 112054.614321119 & 218013.385678881 \tabularnewline
67 & 324385 & 111839.097210381 & 212545.902789619 \tabularnewline
68 & 315380 & 112326.948392930 & 203053.051607070 \tabularnewline
69 & 11409 & -466.188789432454 & 11875.1887894325 \tabularnewline
70 & 1115 & 77115.6433306854 & -76000.6433306854 \tabularnewline
71 & 13337 & -211180.636253466 & 224517.636253466 \tabularnewline
72 & 0 & 77622.5047337501 & -77622.5047337501 \tabularnewline
73 & 0 & 46561.4052306707 & -46561.4052306707 \tabularnewline
74 & 0 & 52333.5475925108 & -52333.5475925108 \tabularnewline
75 & 0 & 50190.7120526257 & -50190.7120526257 \tabularnewline
76 & 0 & 52755.5158291808 & -52755.5158291808 \tabularnewline
77 & 238 & 73089.044725435 & -72851.044725435 \tabularnewline
78 & 3040 & -127304.349417872 & 130344.349417872 \tabularnewline
79 & 0 & 49302.1727311366 & -49302.1727311366 \tabularnewline
80 & 1 & 53422.9134049436 & -53421.9134049436 \tabularnewline
81 & 37 & 80218.6776460638 & -80181.6776460638 \tabularnewline
82 & 0 & 15917.2363201625 & -15917.2363201625 \tabularnewline
83 & 60720 & 26509.8176826172 & 34210.1823173828 \tabularnewline
84 & 308 & 44155.9955119562 & -43847.9955119562 \tabularnewline
85 & 296 & 103407.745332790 & -103111.745332790 \tabularnewline
86 & 357 & 95148.3444731203 & -94791.3444731203 \tabularnewline
87 & 110 & 104918.126631041 & -104808.126631041 \tabularnewline
88 & 245 & 103624.092263071 & -103379.092263071 \tabularnewline
89 & 469 & 43553.628428173 & -43084.628428173 \tabularnewline
90 & 34 & -146656.646355435 & 146690.646355435 \tabularnewline
91 & -35 & 73756.4766363198 & -73791.4766363198 \tabularnewline
92 & 463 & 36367.4094531073 & -35904.4094531073 \tabularnewline
93 & 954 & 34186.730996354 & -33232.730996354 \tabularnewline
94 & 226 & 38796.939891209 & -38570.939891209 \tabularnewline
95 & 276 & -453.76124920782 & 729.76124920782 \tabularnewline
96 & 383 & -2161.99567262533 & 2544.99567262533 \tabularnewline
97 & 93 & 13534.4433239475 & -13441.4433239475 \tabularnewline
98 & 302 & -47067.3149596434 & 47369.3149596434 \tabularnewline
99 & 385 & -5269.47166733742 & 5654.47166733742 \tabularnewline
100 & 225 & -2041.4497499136 & 2266.4497499136 \tabularnewline
101 & 275 & -12220.0906044794 & 12495.0906044794 \tabularnewline
102 & 18073 & 381.071632855026 & 17691.9283671450 \tabularnewline
103 & 1866 & 106436.517919465 & -104570.517919465 \tabularnewline
104 & 42634 & 51381.1119585872 & -8747.11195858718 \tabularnewline
105 & 249 & -158269.167337541 & 158518.167337541 \tabularnewline
106 & 422 & 56823.489801442 & -56401.489801442 \tabularnewline
107 & 2675 & 51470.5966667093 & -48795.5966667093 \tabularnewline
108 & 965 & 46828.7494450594 & -45863.7494450594 \tabularnewline
109 & 0 & 63797.554448346 & -63797.554448346 \tabularnewline
110 & 11 & 52458.5940672866 & -52447.5940672866 \tabularnewline
111 & 0 & 99711.4355116967 & -99711.4355116967 \tabularnewline
112 & 309560 & 101829.770943752 & 207730.229056248 \tabularnewline
113 & 414462 & 111585.244878915 & 302876.755121085 \tabularnewline
114 & 857217 & 110502.827218467 & 746714.172781533 \tabularnewline
115 & 697458 & 111218.748030431 & 586239.251969569 \tabularnewline
116 & 530670 & 111552.992953134 & 419117.007046866 \tabularnewline
117 & 238125 & 111815.989299189 & 126309.010700811 \tabularnewline
118 & 315380 & 112116.846502234 & 203263.153497766 \tabularnewline
119 & 12031 & 42790.620312275 & -30759.620312275 \tabularnewline
120 & 3718 & 64533.3022583158 & -60815.3022583158 \tabularnewline
121 & 1918 & 68682.7204458598 & -66764.7204458598 \tabularnewline
122 & 0 & 77484.1719883014 & -77484.1719883014 \tabularnewline
123 & 0 & 48535.5660114009 & -48535.5660114009 \tabularnewline
124 & 1 & 53365.5011430724 & -53364.5011430724 \tabularnewline
125 & 0 & 60449.406719651 & -60449.406719651 \tabularnewline
126 & 1 & 76768.6582663855 & -76767.6582663855 \tabularnewline
127 & 0 & 76620.2602023118 & -76620.2602023118 \tabularnewline
128 & 0 & 80177.5438022373 & -80177.5438022373 \tabularnewline
129 & 60720 & 26465.0980005600 & 34254.9019994400 \tabularnewline
130 & 312 & 44158.7675617654 & -43846.7675617654 \tabularnewline
131 & 346 & 99059.5406524592 & -98713.5406524592 \tabularnewline
132 & 0 & 76824.0443492215 & -76824.0443492215 \tabularnewline
133 & 0 & 51274.0348928144 & -51274.0348928144 \tabularnewline
134 & 1 & 53392.9593488838 & -53391.9593488838 \tabularnewline
135 & 226 & 80203.1345301216 & -79977.1345301216 \tabularnewline
136 & 58 & -24373.4312243302 & 24431.4312243302 \tabularnewline
137 & 0 & 57312.2708773604 & -57312.2708773604 \tabularnewline
138 & 60720 & 26505.3264481917 & 34214.6735518083 \tabularnewline
139 & 114 & 43897.5052499632 & -43783.5052499632 \tabularnewline
140 & 283 & 104752.850242464 & -104469.850242464 \tabularnewline
141 & 201 & 37231.711776345 & -37030.711776345 \tabularnewline
142 & 109 & 27810.4535385162 & -27701.4535385162 \tabularnewline
143 & 69 & 42715.5360209428 & -42646.5360209428 \tabularnewline
144 & 267 & 38793.2130202708 & -38526.2130202708 \tabularnewline
145 & 611 & 383.483266107156 & 227.516733892844 \tabularnewline
146 & 0 & 51326.5332313509 & -51326.5332313509 \tabularnewline
147 & 6 & 52439.6198238678 & -52433.6198238678 \tabularnewline
148 & 1 & 100545.034958793 & -100544.034958793 \tabularnewline
149 & 13 & 98400.3333027612 & -98387.3333027612 \tabularnewline
150 & 14 & 98407.429377959 & -98393.429377959 \tabularnewline
151 & 0 & 101706.634047475 & -101706.634047475 \tabularnewline
152 & 314210 & 101831.906180554 & 212378.093819446 \tabularnewline
153 & 480382 & 111789.042266213 & 368592.957733787 \tabularnewline
154 & 315009 & 112170.129216435 & 202838.870783565 \tabularnewline
155 & 315380 & 112122.863746969 & 203257.136253031 \tabularnewline
156 & 10262 & 78506.6674491575 & -68244.6674491575 \tabularnewline
157 & 15254 & 76211.7972878361 & -60957.7972878361 \tabularnewline
158 & 0 & 76997.0518144014 & -76997.0518144014 \tabularnewline
159 & 163 & 3236.29850283738 & -3073.29850283738 \tabularnewline
160 & 1 & 53369.3318438351 & -53368.3318438351 \tabularnewline
161 & 1 & 79767.9541182146 & -79766.9541182146 \tabularnewline
162 & 1 & 77030.7274608945 & -77029.7274608945 \tabularnewline
163 & 1 & 78835.9155325496 & -78834.9155325496 \tabularnewline
164 & 0 & 62439.7262720458 & -62439.7262720458 \tabularnewline
165 & 0 & 58091.1290936418 & -58091.1290936418 \tabularnewline
166 & 1 & 85014.82421183 & -85013.82421183 \tabularnewline
167 & 0 & 81764.6925839668 & -81764.6925839668 \tabularnewline
168 & 1 & 79027.4823750553 & -79026.4823750553 \tabularnewline
169 & 1 & 72534.520299611 & -72533.520299611 \tabularnewline
170 & 14 & 80206.90855512 & -80192.90855512 \tabularnewline
171 & 17 & 25478.7416941864 & -25461.7416941864 \tabularnewline
172 & 0 & 29274.6169247696 & -29274.6169247696 \tabularnewline
173 & 121920 & 25518.7459823303 & 96401.2540176697 \tabularnewline
174 & 103960 & 18580.9269784656 & 85379.0730215344 \tabularnewline
175 & 60720 & 39201.7372668368 & 21518.2627331632 \tabularnewline
176 & 213 & 44187.4263340876 & -43974.4263340876 \tabularnewline
177 & 306 & 38792.4859858919 & -38486.4859858919 \tabularnewline
178 & 172 & -6719.78158668906 & 6891.78158668906 \tabularnewline
179 & 402 & -4779.57961527774 & 5181.57961527774 \tabularnewline
180 & 4 & -9142.06695786052 & 9146.06695786052 \tabularnewline
181 & 156 & 38591.9033504311 & -38435.9033504311 \tabularnewline
182 & 3 & 397.377871908776 & -394.377871908776 \tabularnewline
183 & 529 & 38015.4398733956 & -37486.4398733956 \tabularnewline
184 & 0 & 50611.7183509841 & -50611.7183509841 \tabularnewline
185 & 5 & 52500.955101569 & -52495.955101569 \tabularnewline
186 & 19 & 99502.0970176999 & -99483.0970176999 \tabularnewline
187 & 0 & 99600.9712354923 & -99600.9712354923 \tabularnewline
188 & 308636 & 101359.971606979 & 207276.028393021 \tabularnewline
189 & 158492 & 111771.899570104 & 46720.1004298960 \tabularnewline
190 & 315380 & 112119.234412486 & 203260.765587514 \tabularnewline
191 & 0 & 77415.9931659797 & -77415.9931659797 \tabularnewline
192 & 446 & -7761.05632074735 & 8207.05632074735 \tabularnewline
193 & 0 & 53388.8923421925 & -53388.8923421925 \tabularnewline
194 & 27 & 80214.296126013 & -80187.296126013 \tabularnewline
195 & 0 & 28600.0927220894 & -28600.0927220894 \tabularnewline
196 & 88590 & 26053.4543194813 & 62536.5456805187 \tabularnewline
197 & 82903 & 20975.5347466613 & 61927.4652533387 \tabularnewline
198 & 60720 & 36255.6153046330 & 24464.3846953670 \tabularnewline
199 & 99 & 42005.6927156985 & -41906.6927156985 \tabularnewline
200 & 310 & 105800.800194537 & -105490.800194537 \tabularnewline
201 & 17 & 92186.239057746 & -92169.239057746 \tabularnewline
202 & 416 & 104498.774202499 & -104082.774202499 \tabularnewline
203 & 295 & 106383.025360203 & -106088.025360203 \tabularnewline
204 & 342 & 102804.140478887 & -102462.140478887 \tabularnewline
205 & 21 & 91442.0282794671 & -91421.0282794671 \tabularnewline
206 & 423 & 104281.778612289 & -103858.778612289 \tabularnewline
207 & 160 & 106584.493971940 & -106424.493971940 \tabularnewline
208 & 207 & 95211.2818290265 & -95004.2818290265 \tabularnewline
209 & 92 & 34243.0418956813 & -34151.0418956813 \tabularnewline
210 & 98 & 14778.6529681931 & -14680.6529681931 \tabularnewline
211 & 2613 & 39094.1757714071 & -36481.1757714071 \tabularnewline
212 & 337 & 38798.4673385583 & -38461.4673385583 \tabularnewline
213 & 341 & 6655.72399240629 & -6314.72399240629 \tabularnewline
214 & 154 & 5611.90276113413 & -5457.90276113413 \tabularnewline
215 & 36 & 4677.2721330092 & -4641.2721330092 \tabularnewline
216 & 192 & -24240.1749805244 & 24432.1749805244 \tabularnewline
217 & 7123 & 422.967952868094 & 6700.0320471319 \tabularnewline
218 & 622 & -55679.5033830354 & 56301.5033830354 \tabularnewline
219 & 174 & 50146.0865977219 & -49972.0865977219 \tabularnewline
220 & 2220 & 15825.4337049197 & -13605.4337049197 \tabularnewline
221 & 121 & -65496.6259842509 & 65617.6259842509 \tabularnewline
222 & 11819 & 55076.0152071693 & -43257.0152071693 \tabularnewline
223 & 0 & 2975.63608608226 & -2975.63608608226 \tabularnewline
224 & 19 & 52508.8521686539 & -52489.8521686539 \tabularnewline
225 & 11 & 100639.813904034 & -100628.813904034 \tabularnewline
226 & 35 & 98821.4912799071 & -98786.4912799071 \tabularnewline
227 & 0 & 102671.369161323 & -102671.369161323 \tabularnewline
228 & 315380 & 101829.124961735 & 213550.875038265 \tabularnewline
229 & 29525 & 76956.5149674224 & -47431.5149674224 \tabularnewline
230 & 7523 & 64003.3044830156 & -56480.3044830156 \tabularnewline
231 & 11431 & 72842.8271326502 & -61411.8271326502 \tabularnewline
232 & 0 & 77444.9129567166 & -77444.9129567166 \tabularnewline
233 & 0 & 53270.5394570308 & -53270.5394570308 \tabularnewline
234 & -3 & 63325.5218125579 & -63328.5218125579 \tabularnewline
235 & -8 & 49811.4799645645 & -49819.4799645645 \tabularnewline
236 & 1 & 53397.5585467333 & -53396.5585467333 \tabularnewline
237 & 1 & 78907.1370475124 & -78906.1370475124 \tabularnewline
238 & 2 & 80191.3931912918 & -80189.3931912918 \tabularnewline
239 & 0 & 21281.1782898015 & -21281.1782898015 \tabularnewline
240 & 78780 & 26334.9897084202 & 52445.0102915798 \tabularnewline
241 & 60720 & 47893.3015045943 & 12826.6984954057 \tabularnewline
242 & 270 & 44159.7870195575 & -43889.7870195575 \tabularnewline
243 & 333 & 38792.5618685802 & -38459.5618685802 \tabularnewline
244 & 0 & 387.392416543903 & -387.392416543903 \tabularnewline
245 & 0 & 52504.2159069175 & -52504.2159069175 \tabularnewline
246 & 640273 & 100436.726100408 & 539836.273899592 \tabularnewline
247 & 345783 & 110345.915350738 & 235437.084649262 \tabularnewline
248 & 652925 & 111786.970277527 & 541138.029722473 \tabularnewline
249 & 439798 & 110667.349887452 & 329130.650112548 \tabularnewline
250 & 278990 & 111914.693882102 & 167075.306117898 \tabularnewline
251 & 339836 & 111737.497599480 & 228098.50240052 \tabularnewline
252 & 240897 & 111686.535109242 & 129210.464890758 \tabularnewline
253 & 315380 & 112119.608513024 & 203260.391486976 \tabularnewline
254 & 5714 & 78578.432898424 & -72864.432898424 \tabularnewline
255 & 0 & 77457.939633482 & -77457.939633482 \tabularnewline
256 & 0 & 47237.6399949077 & -47237.6399949077 \tabularnewline
257 & 0 & 45447.7205900174 & -45447.7205900174 \tabularnewline
258 & 1 & 53403.3328155355 & -53402.3328155355 \tabularnewline
259 & 61 & 80167.7779151284 & -80106.7779151284 \tabularnewline
260 & 3 & 28030.5394958896 & -28027.5394958896 \tabularnewline
261 & 97 & 21738.5346711874 & -21641.5346711874 \tabularnewline
262 & 27 & 1567.88437143016 & -1540.88437143016 \tabularnewline
263 & 1 & 29950.9993310212 & -29949.9993310212 \tabularnewline
264 & 14 & 16955.1908217616 & -16941.1908217616 \tabularnewline
265 & 13 & 28796.6809836748 & -28783.6809836748 \tabularnewline
266 & 7 & 34609.8242297449 & -34602.8242297449 \tabularnewline
267 & 5 & 40050.040529712 & -40045.040529712 \tabularnewline
268 & 24 & 25622.5392268472 & -25598.5392268472 \tabularnewline
269 & 0 & 28083.8066115605 & -28083.8066115605 \tabularnewline
270 & 63915 & 26429.7197560556 & 37485.2802439444 \tabularnewline
271 & 60719 & 50215.4719034739 & 10503.5280965261 \tabularnewline
272 & 59500 & 33106.9360533492 & 26393.0639466508 \tabularnewline
273 & 60720 & 41108.0586735999 & 19611.9413264001 \tabularnewline
274 & 56 & 42890.3117495837 & -42834.3117495837 \tabularnewline
275 & 18 & 102003.912587153 & -101985.912587153 \tabularnewline
276 & 431 & 106755.529550307 & -106324.529550307 \tabularnewline
277 & 250 & 107452.735339250 & -107202.735339250 \tabularnewline
278 & 164 & 37375.0991297700 & -37211.0991297700 \tabularnewline
279 & 405 & 38792.5368282165 & -38387.5368282165 \tabularnewline
280 & 176 & 10925.8817093222 & -10749.8817093222 \tabularnewline
281 & 236 & -2147.60923023409 & 2383.60923023409 \tabularnewline
282 & 142 & -27581.867599588 & 27723.867599588 \tabularnewline
283 & 18014 & 418.271612984594 & 17595.7283870154 \tabularnewline
284 & 0 & -82149.9236644877 & 82149.9236644877 \tabularnewline
285 & 0 & 52509.7684785012 & -52509.7684785012 \tabularnewline
286 & 983660 & 97171.3471561968 & 886488.652843803 \tabularnewline
287 & 318574 & 111875.415899859 & 206698.584100141 \tabularnewline
288 & 310768 & 111417.488238324 & 199350.511761676 \tabularnewline
289 & 312887 & 112114.713888905 & 200772.286111095 \tabularnewline
290 & 312339 & 111972.090400210 & 200366.909599790 \tabularnewline
291 & 314964 & 112126.323522932 & 202837.676477068 \tabularnewline
292 & 379983 & 110658.203556764 & 269324.796443236 \tabularnewline
293 & 315380 & 112171.183623255 & 203208.816376745 \tabularnewline
294 & 0 & 77485.0264801884 & -77485.0264801884 \tabularnewline
295 & 0 & 50497.0133200781 & -50497.0133200781 \tabularnewline
296 & 1 & 53408.7054386362 & -53407.7054386362 \tabularnewline
297 & 0 & 81286.3200131945 & -81286.3200131945 \tabularnewline
298 & 1 & 78468.8442600207 & -78467.8442600207 \tabularnewline
299 & 1 & 72313.1891541467 & -72312.1891541467 \tabularnewline
300 & 1 & 78899.0976793003 & -78898.0976793003 \tabularnewline
301 & 0 & 88856.0021979606 & -88856.0021979606 \tabularnewline
302 & 1 & -239287.102247166 & 239288.102247166 \tabularnewline
303 & 0 & 81018.1093743663 & -81018.1093743663 \tabularnewline
304 & 2 & 80154.1765615469 & -80152.1765615469 \tabularnewline
305 & 8 & 41447.6638134447 & -41439.6638134447 \tabularnewline
306 & 12 & 22706.4401375872 & -22694.4401375872 \tabularnewline
307 & 66 & 22852.5674737648 & -22786.5674737648 \tabularnewline
308 & 0 & -9423.34110357701 & 9423.34110357701 \tabularnewline
309 & 114768 & 26327.4662127443 & 88440.5337872557 \tabularnewline
310 & 60720 & 38543.9717897363 & 22176.0282102637 \tabularnewline
311 & 96 & 38190.4522250322 & -38094.4522250322 \tabularnewline
312 & 1 & 9828.2334987847 & -9827.2334987847 \tabularnewline
313 & 414 & 77664.4056894305 & -77250.4056894305 \tabularnewline
314 & 388 & 103717.535149784 & -103329.535149784 \tabularnewline
315 & 409 & 104452.065103509 & -104043.065103509 \tabularnewline
316 & 184 & 106469.856381181 & -106285.856381181 \tabularnewline
317 & 39 & 38795.6620439488 & -38756.6620439488 \tabularnewline
318 & 101 & -90604.3731011512 & 90705.3731011512 \tabularnewline
319 & 256 & 1218.59837092385 & -962.598370923846 \tabularnewline
320 & 1585 & 408.337730151676 & 1176.66226984832 \tabularnewline
321 & 16189 & 37610.6577567214 & -21421.6577567213 \tabularnewline
322 & 0 & 31058.008794902 & -31058.008794902 \tabularnewline
323 & 0 & 52517.511643903 & -52517.511643903 \tabularnewline
324 & 375195 & 100290.200374455 & 274904.799625545 \tabularnewline
325 & 288985 & 112126.323013129 & 176858.676986871 \tabularnewline
326 & 315380 & 112091.403280007 & 203288.596719993 \tabularnewline
327 & 3004 & 60908.2012741324 & -57904.2012741324 \tabularnewline
328 & 0 & 77497.718991571 & -77497.718991571 \tabularnewline
329 & 0 & 51979.2262176166 & -51979.2262176166 \tabularnewline
330 & 0 & 49075.2270407685 & -49075.2270407685 \tabularnewline
331 & -58 & 88957.1393050346 & -89015.1393050346 \tabularnewline
332 & 1 & 53408.8385432363 & -53407.8385432363 \tabularnewline
333 & 1 & 80310.3675919587 & -80309.3675919587 \tabularnewline
334 & 0 & 80199.4864207749 & -80199.4864207749 \tabularnewline
335 & 60798 & 26469.4658007218 & 34328.5341992782 \tabularnewline
336 & 60720 & 42115.7202868350 & 18604.2797131650 \tabularnewline
337 & 396 & 43398.0529985053 & -43002.0529985053 \tabularnewline
338 & 228 & 106041.515803240 & -105813.515803240 \tabularnewline
339 & 249 & 38794.454703858 & -38545.454703858 \tabularnewline
340 & 0 & 397.628159158063 & -397.628159158063 \tabularnewline
341 & 136 & 52255.1918534147 & -52119.1918534147 \tabularnewline
342 & 114 & 88025.316437781 & -87911.316437781 \tabularnewline
343 & 15 & 82565.4707305681 & -82550.4707305681 \tabularnewline
344 & 11 & 105358.763163616 & -105347.763163616 \tabularnewline
345 & 12 & 101860.035492401 & -101848.035492401 \tabularnewline
346 & 8 & 95896.2867517512 & -95888.2867517512 \tabularnewline
347 & 122 & 100448.952383483 & -100326.952383483 \tabularnewline
348 & 113 & 106761.737125082 & -106648.737125082 \tabularnewline
349 & 6 & 101980.818485746 & -101974.818485746 \tabularnewline
350 & 0 & 99408.2688707023 & -99408.2688707023 \tabularnewline
351 & 215362 & 101145.167644927 & 114216.832355073 \tabularnewline
352 & 314073 & 111794.825669010 & 202278.174330990 \tabularnewline
353 & 298096 & 112063.108580695 & 186032.891419305 \tabularnewline
354 & 325176 & 112078.481079256 & 213097.518920744 \tabularnewline
355 & 207393 & 111383.601965559 & 96009.3980344414 \tabularnewline
356 & 314806 & 112094.236771516 & 202711.763228484 \tabularnewline
357 & 341340 & 110545.583789004 & 230794.416210996 \tabularnewline
358 & 426280 & 111428.494066366 & 314851.505933634 \tabularnewline
359 & 929118 & 108895.391708080 & 820222.60829192 \tabularnewline
360 & 307322 & 112047.569053789 & 195274.430946211 \tabularnewline
361 & 315380 & 112246.841374192 & 203133.158625808 \tabularnewline
362 & 3024 & 70284.8430793366 & -67260.8430793366 \tabularnewline
363 & 18357 & 78081.8909518386 & -59724.8909518386 \tabularnewline
364 & 2353 & 78566.0595704073 & -76213.0595704073 \tabularnewline
365 & 8652 & 75905.9068973812 & -67253.9068973812 \tabularnewline
366 & 38611 & 77390.2886142145 & -38779.2886142145 \tabularnewline
367 & 9505 & 77867.315325648 & -68362.315325648 \tabularnewline
368 & 4108 & 73050.4716691736 & -68942.4716691736 \tabularnewline
369 & 0 & 77473.9239480622 & -77473.9239480622 \tabularnewline
370 & 0 & 53424.4362422015 & -53424.4362422015 \tabularnewline
371 & 0 & 80196.249596069 & -80196.249596069 \tabularnewline
372 & 60720 & 26498.3670071872 & 34221.6329928128 \tabularnewline
373 & 90 & 37184.109978968 & -37094.109978968 \tabularnewline
374 & 168 & 106647.622493980 & -106479.622493980 \tabularnewline
375 & 208 & 103813.419486878 & -103605.419486878 \tabularnewline
376 & 222 & 38793.8488328374 & -38571.8488328374 \tabularnewline
377 & 0 & 396.308985596709 & -396.308985596709 \tabularnewline
378 & 3 & 52490.6426106174 & -52487.6426106174 \tabularnewline
379 & 15 & 99445.7005195782 & -99430.7005195782 \tabularnewline
380 & 55 & 92328.4986873729 & -92273.4986873729 \tabularnewline
381 & 85 & 91748.3272569415 & -91663.3272569415 \tabularnewline
382 & 17 & 96992.6662173235 & -96975.6662173235 \tabularnewline
383 & 277 & 101343.881650793 & -101066.881650793 \tabularnewline
384 & 10 & 90244.5814936573 & -90234.5814936573 \tabularnewline
385 & 4 & 100058.655549078 & -100054.655549078 \tabularnewline
386 & 7 & 98921.5718627423 & -98914.5718627423 \tabularnewline
387 & 26 & 101153.294023462 & -101127.294023462 \tabularnewline
388 & 47 & 96150.3281979054 & -96103.3281979054 \tabularnewline
389 & 203 & 93264.5587373232 & -93061.5587373232 \tabularnewline
390 & 5 & 88560.6314300246 & -88555.6314300246 \tabularnewline
391 & 0 & 99597.080321643 & -99597.080321643 \tabularnewline
392 & 315380 & 101833.503324737 & 213546.496675263 \tabularnewline
393 & 10620 & 81273.6435062477 & -70653.6435062477 \tabularnewline
394 & 5669 & 75103.5040668951 & -69434.5040668951 \tabularnewline
395 & 10581 & 77576.4018597897 & -66995.4018597897 \tabularnewline
396 & 2533 & 37478.9211866526 & -34945.9211866526 \tabularnewline
397 & 827 & 77027.7919647552 & -76200.7919647552 \tabularnewline
398 & 57694 & 77450.0271981998 & -19756.0271981998 \tabularnewline
399 & 0 & 54133.655596195 & -54133.655596195 \tabularnewline
400 & 0 & 52052.4458082697 & -52052.4458082697 \tabularnewline
401 & 14 & 55336.1652217946 & -55322.1652217946 \tabularnewline
402 & 2854 & -214413.529305946 & 217267.529305946 \tabularnewline
403 & 0 & 53945.306278227 & -53945.306278227 \tabularnewline
404 & -10 & 54757.1196607063 & -54767.1196607063 \tabularnewline
405 & -28 & 97310.818925129 & -97338.818925129 \tabularnewline
406 & 1 & 53383.0542496367 & -53382.0542496367 \tabularnewline
407 & 1 & 74825.704039787 & -74824.704039787 \tabularnewline
408 & 1 & 72597.729860615 & -72596.729860615 \tabularnewline
409 & 72 & 80183.6225203528 & -80111.6225203528 \tabularnewline
410 & 17 & 26694.6111752033 & -26677.6111752033 \tabularnewline
411 & 47 & 24894.6611654333 & -24847.6611654333 \tabularnewline
412 & 6 & -22472.3077164741 & 22478.3077164741 \tabularnewline
413 & 11 & 23908.8390588624 & -23897.8390588624 \tabularnewline
414 & 105 & 7075.40236258142 & -6970.40236258142 \tabularnewline
415 & 17 & 31494.8782040044 & -31477.8782040044 \tabularnewline
416 & 8 & 32854.221208905 & -32846.221208905 \tabularnewline
417 & 8 & 31932.1019103272 & -31924.1019103272 \tabularnewline
418 & 14 & 24554.5459513553 & -24540.5459513553 \tabularnewline
419 & 6 & 18850.6989151894 & -18844.6989151894 \tabularnewline
420 & 53 & 28118.5914832437 & -28065.5914832437 \tabularnewline
421 & 63 & 4091.11681638275 & -4028.11681638275 \tabularnewline
422 & 0 & -3478.46586982963 & 3478.46586982963 \tabularnewline
423 & 60720 & 25511.9826108676 & 35208.0173891324 \tabularnewline
424 & 61808 & 44659.2785782105 & 17148.7214217895 \tabularnewline
425 & 60438 & 48075.9973563727 & 12362.0026436273 \tabularnewline
426 & 58598 & 51337.9014296305 & 7260.09857036949 \tabularnewline
427 & 59781 & 46811.6902686127 & 12969.3097313873 \tabularnewline
428 & 60945 & 47528.3001339264 & 13416.6998660736 \tabularnewline
429 & 61124 & 46587.1644884411 & 14536.8355115589 \tabularnewline
430 & 60720 & 46828.9579498488 & 13891.0420501512 \tabularnewline
431 & 365 & 45040.4566629128 & -44675.4566629128 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104690&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]0[/C][C]51984.0821382791[/C][C]-51984.0821382791[/C][/ROW]
[ROW][C]2[/C][C]39[/C][C]18411.0453418126[/C][C]-18372.0453418126[/C][/ROW]
[ROW][C]3[/C][C]0[/C][C]51384.7569158271[/C][C]-51384.7569158271[/C][/ROW]
[ROW][C]4[/C][C]0[/C][C]38448.7630979363[/C][C]-38448.7630979363[/C][/ROW]
[ROW][C]5[/C][C]305[/C][C]28509.3908124449[/C][C]-28204.3908124449[/C][/ROW]
[ROW][C]6[/C][C]-9[/C][C]55142.6551073764[/C][C]-55151.6551073764[/C][/ROW]
[ROW][C]7[/C][C]-1[/C][C]55708.7680428237[/C][C]-55709.7680428237[/C][/ROW]
[ROW][C]8[/C][C]0[/C][C]52533.0889747368[/C][C]-52533.0889747368[/C][/ROW]
[ROW][C]9[/C][C]0[/C][C]47951.0220221669[/C][C]-47951.0220221669[/C][/ROW]
[ROW][C]10[/C][C]0[/C][C]54073.201371615[/C][C]-54073.201371615[/C][/ROW]
[ROW][C]11[/C][C]33[/C][C]29173.1596004818[/C][C]-29140.1596004818[/C][/ROW]
[ROW][C]12[/C][C]32[/C][C]25317.6328841357[/C][C]-25285.6328841357[/C][/ROW]
[ROW][C]13[/C][C]1[/C][C]53429.4878996622[/C][C]-53428.4878996622[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]77323.8543594538[/C][C]-77322.8543594538[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]79134.9065203137[/C][C]-79133.9065203137[/C][/ROW]
[ROW][C]16[/C][C]1[/C][C]80406.274680172[/C][C]-80405.274680172[/C][/ROW]
[ROW][C]17[/C][C]1[/C][C]79142.9386618445[/C][C]-79141.9386618445[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]79283.3001273575[/C][C]-79282.3001273575[/C][/ROW]
[ROW][C]19[/C][C]1[/C][C]78622.9433139361[/C][C]-78621.9433139361[/C][/ROW]
[ROW][C]20[/C][C]1[/C][C]78460.201292914[/C][C]-78459.201292914[/C][/ROW]
[ROW][C]21[/C][C]35[/C][C]80209.0945426696[/C][C]-80174.0945426696[/C][/ROW]
[ROW][C]22[/C][C]0[/C][C]30726.2388301576[/C][C]-30726.2388301576[/C][/ROW]
[ROW][C]23[/C][C]121173[/C][C]26131.0396101362[/C][C]95041.9603898638[/C][/ROW]
[ROW][C]24[/C][C]57530[/C][C]24770.8329962739[/C][C]32759.1670037261[/C][/ROW]
[ROW][C]25[/C][C]62041[/C][C]32125.1385562644[/C][C]29915.8614437356[/C][/ROW]
[ROW][C]26[/C][C]60720[/C][C]43569.6318649989[/C][C]17150.3681350011[/C][/ROW]
[ROW][C]27[/C][C]136996[/C][C]45210.1427741987[/C][C]91785.8572258013[/C][/ROW]
[ROW][C]28[/C][C]60720[/C][C]26858.1295483329[/C][C]33861.8704516671[/C][/ROW]
[ROW][C]29[/C][C]115[/C][C]42256.6665796992[/C][C]-42141.6665796992[/C][/ROW]
[ROW][C]30[/C][C]387[/C][C]103032.292028438[/C][C]-102645.292028438[/C][/ROW]
[ROW][C]31[/C][C]219[/C][C]106058.048427910[/C][C]-105839.048427910[/C][/ROW]
[ROW][C]32[/C][C]430[/C][C]35453.5739217394[/C][C]-35023.5739217394[/C][/ROW]
[ROW][C]33[/C][C]288[/C][C]-16296.5218332158[/C][C]16584.5218332158[/C][/ROW]
[ROW][C]34[/C][C]22[/C][C]24784.1197506741[/C][C]-24762.1197506741[/C][/ROW]
[ROW][C]35[/C][C]18[/C][C]39844.6969428017[/C][C]-39826.6969428017[/C][/ROW]
[ROW][C]36[/C][C]12458[/C][C]38757.3479990894[/C][C]-26299.3479990894[/C][/ROW]
[ROW][C]37[/C][C]32[/C][C]48098.7862822128[/C][C]-48066.7862822128[/C][/ROW]
[ROW][C]38[/C][C]29[/C][C]-203191.121554988[/C][C]203220.121554988[/C][/ROW]
[ROW][C]39[/C][C]42[/C][C]11264.0719439271[/C][C]-11222.0719439271[/C][/ROW]
[ROW][C]40[/C][C]844[/C][C]8348.41712489533[/C][C]-7504.41712489533[/C][/ROW]
[ROW][C]41[/C][C]242[/C][C]26309.1170442768[/C][C]-26067.1170442768[/C][/ROW]
[ROW][C]42[/C][C]123[/C][C]17485.2155959522[/C][C]-17362.2155959522[/C][/ROW]
[ROW][C]43[/C][C]184[/C][C]38791.7671509101[/C][C]-38607.7671509101[/C][/ROW]
[ROW][C]44[/C][C]401[/C][C]5254.77324521126[/C][C]-4853.77324521126[/C][/ROW]
[ROW][C]45[/C][C]371[/C][C]-925.883506631481[/C][C]1296.88350663148[/C][/ROW]
[ROW][C]46[/C][C]203[/C][C]398.428877639647[/C][C]-195.428877639647[/C][/ROW]
[ROW][C]47[/C][C]3689[/C][C]48784.7819532842[/C][C]-45095.7819532842[/C][/ROW]
[ROW][C]48[/C][C]567[/C][C]30368.9202622046[/C][C]-29801.9202622046[/C][/ROW]
[ROW][C]49[/C][C]27664[/C][C]25352.6389261657[/C][C]2311.36107383431[/C][/ROW]
[ROW][C]50[/C][C]1686[/C][C]905.434311472613[/C][C]780.565688527387[/C][/ROW]
[ROW][C]51[/C][C]1164[/C][C]41638.6696386413[/C][C]-40474.6696386413[/C][/ROW]
[ROW][C]52[/C][C]15824[/C][C]58331.0538866652[/C][C]-42507.0538866652[/C][/ROW]
[ROW][C]53[/C][C]6575[/C][C]12425.3256008071[/C][C]-5850.32560080706[/C][/ROW]
[ROW][C]54[/C][C]37597[/C][C]-78210.422861995[/C][C]115807.422861995[/C][/ROW]
[ROW][C]55[/C][C]314[/C][C]-35548.4757560919[/C][C]35862.4757560919[/C][/ROW]
[ROW][C]56[/C][C]1932[/C][C]44630.649477785[/C][C]-42698.649477785[/C][/ROW]
[ROW][C]57[/C][C]5692[/C][C]57702.5455458939[/C][C]-52010.5455458939[/C][/ROW]
[ROW][C]58[/C][C]0[/C][C]45048.6944462182[/C][C]-45048.6944462182[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]52510.211710181[/C][C]-52510.211710181[/C][/ROW]
[ROW][C]60[/C][C]364839[/C][C]100733.202203026[/C][C]264105.797796974[/C][/ROW]
[ROW][C]61[/C][C]230621[/C][C]112086.135091829[/C][C]118534.864908171[/C][/ROW]
[ROW][C]62[/C][C]315877[/C][C]112122.356861639[/C][C]203754.643138361[/C][/ROW]
[ROW][C]63[/C][C]125390[/C][C]110220.968644380[/C][C]15169.0313556197[/C][/ROW]
[ROW][C]64[/C][C]314882[/C][C]112115.619519034[/C][C]202766.380480966[/C][/ROW]
[ROW][C]65[/C][C]370837[/C][C]110308.891698613[/C][C]260528.108301387[/C][/ROW]
[ROW][C]66[/C][C]330068[/C][C]112054.614321119[/C][C]218013.385678881[/C][/ROW]
[ROW][C]67[/C][C]324385[/C][C]111839.097210381[/C][C]212545.902789619[/C][/ROW]
[ROW][C]68[/C][C]315380[/C][C]112326.948392930[/C][C]203053.051607070[/C][/ROW]
[ROW][C]69[/C][C]11409[/C][C]-466.188789432454[/C][C]11875.1887894325[/C][/ROW]
[ROW][C]70[/C][C]1115[/C][C]77115.6433306854[/C][C]-76000.6433306854[/C][/ROW]
[ROW][C]71[/C][C]13337[/C][C]-211180.636253466[/C][C]224517.636253466[/C][/ROW]
[ROW][C]72[/C][C]0[/C][C]77622.5047337501[/C][C]-77622.5047337501[/C][/ROW]
[ROW][C]73[/C][C]0[/C][C]46561.4052306707[/C][C]-46561.4052306707[/C][/ROW]
[ROW][C]74[/C][C]0[/C][C]52333.5475925108[/C][C]-52333.5475925108[/C][/ROW]
[ROW][C]75[/C][C]0[/C][C]50190.7120526257[/C][C]-50190.7120526257[/C][/ROW]
[ROW][C]76[/C][C]0[/C][C]52755.5158291808[/C][C]-52755.5158291808[/C][/ROW]
[ROW][C]77[/C][C]238[/C][C]73089.044725435[/C][C]-72851.044725435[/C][/ROW]
[ROW][C]78[/C][C]3040[/C][C]-127304.349417872[/C][C]130344.349417872[/C][/ROW]
[ROW][C]79[/C][C]0[/C][C]49302.1727311366[/C][C]-49302.1727311366[/C][/ROW]
[ROW][C]80[/C][C]1[/C][C]53422.9134049436[/C][C]-53421.9134049436[/C][/ROW]
[ROW][C]81[/C][C]37[/C][C]80218.6776460638[/C][C]-80181.6776460638[/C][/ROW]
[ROW][C]82[/C][C]0[/C][C]15917.2363201625[/C][C]-15917.2363201625[/C][/ROW]
[ROW][C]83[/C][C]60720[/C][C]26509.8176826172[/C][C]34210.1823173828[/C][/ROW]
[ROW][C]84[/C][C]308[/C][C]44155.9955119562[/C][C]-43847.9955119562[/C][/ROW]
[ROW][C]85[/C][C]296[/C][C]103407.745332790[/C][C]-103111.745332790[/C][/ROW]
[ROW][C]86[/C][C]357[/C][C]95148.3444731203[/C][C]-94791.3444731203[/C][/ROW]
[ROW][C]87[/C][C]110[/C][C]104918.126631041[/C][C]-104808.126631041[/C][/ROW]
[ROW][C]88[/C][C]245[/C][C]103624.092263071[/C][C]-103379.092263071[/C][/ROW]
[ROW][C]89[/C][C]469[/C][C]43553.628428173[/C][C]-43084.628428173[/C][/ROW]
[ROW][C]90[/C][C]34[/C][C]-146656.646355435[/C][C]146690.646355435[/C][/ROW]
[ROW][C]91[/C][C]-35[/C][C]73756.4766363198[/C][C]-73791.4766363198[/C][/ROW]
[ROW][C]92[/C][C]463[/C][C]36367.4094531073[/C][C]-35904.4094531073[/C][/ROW]
[ROW][C]93[/C][C]954[/C][C]34186.730996354[/C][C]-33232.730996354[/C][/ROW]
[ROW][C]94[/C][C]226[/C][C]38796.939891209[/C][C]-38570.939891209[/C][/ROW]
[ROW][C]95[/C][C]276[/C][C]-453.76124920782[/C][C]729.76124920782[/C][/ROW]
[ROW][C]96[/C][C]383[/C][C]-2161.99567262533[/C][C]2544.99567262533[/C][/ROW]
[ROW][C]97[/C][C]93[/C][C]13534.4433239475[/C][C]-13441.4433239475[/C][/ROW]
[ROW][C]98[/C][C]302[/C][C]-47067.3149596434[/C][C]47369.3149596434[/C][/ROW]
[ROW][C]99[/C][C]385[/C][C]-5269.47166733742[/C][C]5654.47166733742[/C][/ROW]
[ROW][C]100[/C][C]225[/C][C]-2041.4497499136[/C][C]2266.4497499136[/C][/ROW]
[ROW][C]101[/C][C]275[/C][C]-12220.0906044794[/C][C]12495.0906044794[/C][/ROW]
[ROW][C]102[/C][C]18073[/C][C]381.071632855026[/C][C]17691.9283671450[/C][/ROW]
[ROW][C]103[/C][C]1866[/C][C]106436.517919465[/C][C]-104570.517919465[/C][/ROW]
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[ROW][C]105[/C][C]249[/C][C]-158269.167337541[/C][C]158518.167337541[/C][/ROW]
[ROW][C]106[/C][C]422[/C][C]56823.489801442[/C][C]-56401.489801442[/C][/ROW]
[ROW][C]107[/C][C]2675[/C][C]51470.5966667093[/C][C]-48795.5966667093[/C][/ROW]
[ROW][C]108[/C][C]965[/C][C]46828.7494450594[/C][C]-45863.7494450594[/C][/ROW]
[ROW][C]109[/C][C]0[/C][C]63797.554448346[/C][C]-63797.554448346[/C][/ROW]
[ROW][C]110[/C][C]11[/C][C]52458.5940672866[/C][C]-52447.5940672866[/C][/ROW]
[ROW][C]111[/C][C]0[/C][C]99711.4355116967[/C][C]-99711.4355116967[/C][/ROW]
[ROW][C]112[/C][C]309560[/C][C]101829.770943752[/C][C]207730.229056248[/C][/ROW]
[ROW][C]113[/C][C]414462[/C][C]111585.244878915[/C][C]302876.755121085[/C][/ROW]
[ROW][C]114[/C][C]857217[/C][C]110502.827218467[/C][C]746714.172781533[/C][/ROW]
[ROW][C]115[/C][C]697458[/C][C]111218.748030431[/C][C]586239.251969569[/C][/ROW]
[ROW][C]116[/C][C]530670[/C][C]111552.992953134[/C][C]419117.007046866[/C][/ROW]
[ROW][C]117[/C][C]238125[/C][C]111815.989299189[/C][C]126309.010700811[/C][/ROW]
[ROW][C]118[/C][C]315380[/C][C]112116.846502234[/C][C]203263.153497766[/C][/ROW]
[ROW][C]119[/C][C]12031[/C][C]42790.620312275[/C][C]-30759.620312275[/C][/ROW]
[ROW][C]120[/C][C]3718[/C][C]64533.3022583158[/C][C]-60815.3022583158[/C][/ROW]
[ROW][C]121[/C][C]1918[/C][C]68682.7204458598[/C][C]-66764.7204458598[/C][/ROW]
[ROW][C]122[/C][C]0[/C][C]77484.1719883014[/C][C]-77484.1719883014[/C][/ROW]
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[ROW][C]124[/C][C]1[/C][C]53365.5011430724[/C][C]-53364.5011430724[/C][/ROW]
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[ROW][C]126[/C][C]1[/C][C]76768.6582663855[/C][C]-76767.6582663855[/C][/ROW]
[ROW][C]127[/C][C]0[/C][C]76620.2602023118[/C][C]-76620.2602023118[/C][/ROW]
[ROW][C]128[/C][C]0[/C][C]80177.5438022373[/C][C]-80177.5438022373[/C][/ROW]
[ROW][C]129[/C][C]60720[/C][C]26465.0980005600[/C][C]34254.9019994400[/C][/ROW]
[ROW][C]130[/C][C]312[/C][C]44158.7675617654[/C][C]-43846.7675617654[/C][/ROW]
[ROW][C]131[/C][C]346[/C][C]99059.5406524592[/C][C]-98713.5406524592[/C][/ROW]
[ROW][C]132[/C][C]0[/C][C]76824.0443492215[/C][C]-76824.0443492215[/C][/ROW]
[ROW][C]133[/C][C]0[/C][C]51274.0348928144[/C][C]-51274.0348928144[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]53392.9593488838[/C][C]-53391.9593488838[/C][/ROW]
[ROW][C]135[/C][C]226[/C][C]80203.1345301216[/C][C]-79977.1345301216[/C][/ROW]
[ROW][C]136[/C][C]58[/C][C]-24373.4312243302[/C][C]24431.4312243302[/C][/ROW]
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[ROW][C]140[/C][C]283[/C][C]104752.850242464[/C][C]-104469.850242464[/C][/ROW]
[ROW][C]141[/C][C]201[/C][C]37231.711776345[/C][C]-37030.711776345[/C][/ROW]
[ROW][C]142[/C][C]109[/C][C]27810.4535385162[/C][C]-27701.4535385162[/C][/ROW]
[ROW][C]143[/C][C]69[/C][C]42715.5360209428[/C][C]-42646.5360209428[/C][/ROW]
[ROW][C]144[/C][C]267[/C][C]38793.2130202708[/C][C]-38526.2130202708[/C][/ROW]
[ROW][C]145[/C][C]611[/C][C]383.483266107156[/C][C]227.516733892844[/C][/ROW]
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[ROW][C]147[/C][C]6[/C][C]52439.6198238678[/C][C]-52433.6198238678[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]100545.034958793[/C][C]-100544.034958793[/C][/ROW]
[ROW][C]149[/C][C]13[/C][C]98400.3333027612[/C][C]-98387.3333027612[/C][/ROW]
[ROW][C]150[/C][C]14[/C][C]98407.429377959[/C][C]-98393.429377959[/C][/ROW]
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[ROW][C]153[/C][C]480382[/C][C]111789.042266213[/C][C]368592.957733787[/C][/ROW]
[ROW][C]154[/C][C]315009[/C][C]112170.129216435[/C][C]202838.870783565[/C][/ROW]
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[ROW][C]156[/C][C]10262[/C][C]78506.6674491575[/C][C]-68244.6674491575[/C][/ROW]
[ROW][C]157[/C][C]15254[/C][C]76211.7972878361[/C][C]-60957.7972878361[/C][/ROW]
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[ROW][C]162[/C][C]1[/C][C]77030.7274608945[/C][C]-77029.7274608945[/C][/ROW]
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[ROW][C]164[/C][C]0[/C][C]62439.7262720458[/C][C]-62439.7262720458[/C][/ROW]
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[ROW][C]166[/C][C]1[/C][C]85014.82421183[/C][C]-85013.82421183[/C][/ROW]
[ROW][C]167[/C][C]0[/C][C]81764.6925839668[/C][C]-81764.6925839668[/C][/ROW]
[ROW][C]168[/C][C]1[/C][C]79027.4823750553[/C][C]-79026.4823750553[/C][/ROW]
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[ROW][C]232[/C][C]0[/C][C]77444.9129567166[/C][C]-77444.9129567166[/C][/ROW]
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[ROW][C]234[/C][C]-3[/C][C]63325.5218125579[/C][C]-63328.5218125579[/C][/ROW]
[ROW][C]235[/C][C]-8[/C][C]49811.4799645645[/C][C]-49819.4799645645[/C][/ROW]
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[ROW][C]240[/C][C]78780[/C][C]26334.9897084202[/C][C]52445.0102915798[/C][/ROW]
[ROW][C]241[/C][C]60720[/C][C]47893.3015045943[/C][C]12826.6984954057[/C][/ROW]
[ROW][C]242[/C][C]270[/C][C]44159.7870195575[/C][C]-43889.7870195575[/C][/ROW]
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[ROW][C]246[/C][C]640273[/C][C]100436.726100408[/C][C]539836.273899592[/C][/ROW]
[ROW][C]247[/C][C]345783[/C][C]110345.915350738[/C][C]235437.084649262[/C][/ROW]
[ROW][C]248[/C][C]652925[/C][C]111786.970277527[/C][C]541138.029722473[/C][/ROW]
[ROW][C]249[/C][C]439798[/C][C]110667.349887452[/C][C]329130.650112548[/C][/ROW]
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[ROW][C]261[/C][C]97[/C][C]21738.5346711874[/C][C]-21641.5346711874[/C][/ROW]
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[ROW][C]290[/C][C]312339[/C][C]111972.090400210[/C][C]200366.909599790[/C][/ROW]
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[ROW][C]324[/C][C]375195[/C][C]100290.200374455[/C][C]274904.799625545[/C][/ROW]
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[ROW][C]419[/C][C]6[/C][C]18850.6989151894[/C][C]-18844.6989151894[/C][/ROW]
[ROW][C]420[/C][C]53[/C][C]28118.5914832437[/C][C]-28065.5914832437[/C][/ROW]
[ROW][C]421[/C][C]63[/C][C]4091.11681638275[/C][C]-4028.11681638275[/C][/ROW]
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[ROW][C]423[/C][C]60720[/C][C]25511.9826108676[/C][C]35208.0173891324[/C][/ROW]
[ROW][C]424[/C][C]61808[/C][C]44659.2785782105[/C][C]17148.7214217895[/C][/ROW]
[ROW][C]425[/C][C]60438[/C][C]48075.9973563727[/C][C]12362.0026436273[/C][/ROW]
[ROW][C]426[/C][C]58598[/C][C]51337.9014296305[/C][C]7260.09857036949[/C][/ROW]
[ROW][C]427[/C][C]59781[/C][C]46811.6902686127[/C][C]12969.3097313873[/C][/ROW]
[ROW][C]428[/C][C]60945[/C][C]47528.3001339264[/C][C]13416.6998660736[/C][/ROW]
[ROW][C]429[/C][C]61124[/C][C]46587.1644884411[/C][C]14536.8355115589[/C][/ROW]
[ROW][C]430[/C][C]60720[/C][C]46828.9579498488[/C][C]13891.0420501512[/C][/ROW]
[ROW][C]431[/C][C]365[/C][C]45040.4566629128[/C][C]-44675.4566629128[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104690&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104690&T=4

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1051984.0821382791-51984.0821382791
23918411.0453418126-18372.0453418126
3051384.7569158271-51384.7569158271
4038448.7630979363-38448.7630979363
530528509.3908124449-28204.3908124449
6-955142.6551073764-55151.6551073764
7-155708.7680428237-55709.7680428237
8052533.0889747368-52533.0889747368
9047951.0220221669-47951.0220221669
10054073.201371615-54073.201371615
113329173.1596004818-29140.1596004818
123225317.6328841357-25285.6328841357
13153429.4878996622-53428.4878996622
14177323.8543594538-77322.8543594538
15179134.9065203137-79133.9065203137
16180406.274680172-80405.274680172
17179142.9386618445-79141.9386618445
18179283.3001273575-79282.3001273575
19178622.9433139361-78621.9433139361
20178460.201292914-78459.201292914
213580209.0945426696-80174.0945426696
22030726.2388301576-30726.2388301576
2312117326131.039610136295041.9603898638
245753024770.832996273932759.1670037261
256204132125.138556264429915.8614437356
266072043569.631864998917150.3681350011
2713699645210.142774198791785.8572258013
286072026858.129548332933861.8704516671
2911542256.6665796992-42141.6665796992
30387103032.292028438-102645.292028438
31219106058.048427910-105839.048427910
3243035453.5739217394-35023.5739217394
33288-16296.521833215816584.5218332158
342224784.1197506741-24762.1197506741
351839844.6969428017-39826.6969428017
361245838757.3479990894-26299.3479990894
373248098.7862822128-48066.7862822128
3829-203191.121554988203220.121554988
394211264.0719439271-11222.0719439271
408448348.41712489533-7504.41712489533
4124226309.1170442768-26067.1170442768
4212317485.2155959522-17362.2155959522
4318438791.7671509101-38607.7671509101
444015254.77324521126-4853.77324521126
45371-925.8835066314811296.88350663148
46203398.428877639647-195.428877639647
47368948784.7819532842-45095.7819532842
4856730368.9202622046-29801.9202622046
492766425352.63892616572311.36107383431
501686905.434311472613780.565688527387
51116441638.6696386413-40474.6696386413
521582458331.0538866652-42507.0538866652
53657512425.3256008071-5850.32560080706
5437597-78210.422861995115807.422861995
55314-35548.475756091935862.4757560919
56193244630.649477785-42698.649477785
57569257702.5455458939-52010.5455458939
58045048.6944462182-45048.6944462182
59052510.211710181-52510.211710181
60364839100733.202203026264105.797796974
61230621112086.135091829118534.864908171
62315877112122.356861639203754.643138361
63125390110220.96864438015169.0313556197
64314882112115.619519034202766.380480966
65370837110308.891698613260528.108301387
66330068112054.614321119218013.385678881
67324385111839.097210381212545.902789619
68315380112326.948392930203053.051607070
6911409-466.18878943245411875.1887894325
70111577115.6433306854-76000.6433306854
7113337-211180.636253466224517.636253466
72077622.5047337501-77622.5047337501
73046561.4052306707-46561.4052306707
74052333.5475925108-52333.5475925108
75050190.7120526257-50190.7120526257
76052755.5158291808-52755.5158291808
7723873089.044725435-72851.044725435
783040-127304.349417872130344.349417872
79049302.1727311366-49302.1727311366
80153422.9134049436-53421.9134049436
813780218.6776460638-80181.6776460638
82015917.2363201625-15917.2363201625
836072026509.817682617234210.1823173828
8430844155.9955119562-43847.9955119562
85296103407.745332790-103111.745332790
8635795148.3444731203-94791.3444731203
87110104918.126631041-104808.126631041
88245103624.092263071-103379.092263071
8946943553.628428173-43084.628428173
9034-146656.646355435146690.646355435
91-3573756.4766363198-73791.4766363198
9246336367.4094531073-35904.4094531073
9395434186.730996354-33232.730996354
9422638796.939891209-38570.939891209
95276-453.76124920782729.76124920782
96383-2161.995672625332544.99567262533
979313534.4433239475-13441.4433239475
98302-47067.314959643447369.3149596434
99385-5269.471667337425654.47166733742
100225-2041.44974991362266.4497499136
101275-12220.090604479412495.0906044794
10218073381.07163285502617691.9283671450
1031866106436.517919465-104570.517919465
1044263451381.1119585872-8747.11195858718
105249-158269.167337541158518.167337541
10642256823.489801442-56401.489801442
107267551470.5966667093-48795.5966667093
10896546828.7494450594-45863.7494450594
109063797.554448346-63797.554448346
1101152458.5940672866-52447.5940672866
111099711.4355116967-99711.4355116967
112309560101829.770943752207730.229056248
113414462111585.244878915302876.755121085
114857217110502.827218467746714.172781533
115697458111218.748030431586239.251969569
116530670111552.992953134419117.007046866
117238125111815.989299189126309.010700811
118315380112116.846502234203263.153497766
1191203142790.620312275-30759.620312275
120371864533.3022583158-60815.3022583158
121191868682.7204458598-66764.7204458598
122077484.1719883014-77484.1719883014
123048535.5660114009-48535.5660114009
124153365.5011430724-53364.5011430724
125060449.406719651-60449.406719651
126176768.6582663855-76767.6582663855
127076620.2602023118-76620.2602023118
128080177.5438022373-80177.5438022373
1296072026465.098000560034254.9019994400
13031244158.7675617654-43846.7675617654
13134699059.5406524592-98713.5406524592
132076824.0443492215-76824.0443492215
133051274.0348928144-51274.0348928144
134153392.9593488838-53391.9593488838
13522680203.1345301216-79977.1345301216
13658-24373.431224330224431.4312243302
137057312.2708773604-57312.2708773604
1386072026505.326448191734214.6735518083
13911443897.5052499632-43783.5052499632
140283104752.850242464-104469.850242464
14120137231.711776345-37030.711776345
14210927810.4535385162-27701.4535385162
1436942715.5360209428-42646.5360209428
14426738793.2130202708-38526.2130202708
145611383.483266107156227.516733892844
146051326.5332313509-51326.5332313509
147652439.6198238678-52433.6198238678
1481100545.034958793-100544.034958793
1491398400.3333027612-98387.3333027612
1501498407.429377959-98393.429377959
1510101706.634047475-101706.634047475
152314210101831.906180554212378.093819446
153480382111789.042266213368592.957733787
154315009112170.129216435202838.870783565
155315380112122.863746969203257.136253031
1561026278506.6674491575-68244.6674491575
1571525476211.7972878361-60957.7972878361
158076997.0518144014-76997.0518144014
1591633236.29850283738-3073.29850283738
160153369.3318438351-53368.3318438351
161179767.9541182146-79766.9541182146
162177030.7274608945-77029.7274608945
163178835.9155325496-78834.9155325496
164062439.7262720458-62439.7262720458
165058091.1290936418-58091.1290936418
166185014.82421183-85013.82421183
167081764.6925839668-81764.6925839668
168179027.4823750553-79026.4823750553
169172534.520299611-72533.520299611
1701480206.90855512-80192.90855512
1711725478.7416941864-25461.7416941864
172029274.6169247696-29274.6169247696
17312192025518.745982330396401.2540176697
17410396018580.926978465685379.0730215344
1756072039201.737266836821518.2627331632
17621344187.4263340876-43974.4263340876
17730638792.4859858919-38486.4859858919
178172-6719.781586689066891.78158668906
179402-4779.579615277745181.57961527774
1804-9142.066957860529146.06695786052
18115638591.9033504311-38435.9033504311
1823397.377871908776-394.377871908776
18352938015.4398733956-37486.4398733956
184050611.7183509841-50611.7183509841
185552500.955101569-52495.955101569
1861999502.0970176999-99483.0970176999
187099600.9712354923-99600.9712354923
188308636101359.971606979207276.028393021
189158492111771.89957010446720.1004298960
190315380112119.234412486203260.765587514
191077415.9931659797-77415.9931659797
192446-7761.056320747358207.05632074735
193053388.8923421925-53388.8923421925
1942780214.296126013-80187.296126013
195028600.0927220894-28600.0927220894
1968859026053.454319481362536.5456805187
1978290320975.534746661361927.4652533387
1986072036255.615304633024464.3846953670
1999942005.6927156985-41906.6927156985
200310105800.800194537-105490.800194537
2011792186.239057746-92169.239057746
202416104498.774202499-104082.774202499
203295106383.025360203-106088.025360203
204342102804.140478887-102462.140478887
2052191442.0282794671-91421.0282794671
206423104281.778612289-103858.778612289
207160106584.493971940-106424.493971940
20820795211.2818290265-95004.2818290265
2099234243.0418956813-34151.0418956813
2109814778.6529681931-14680.6529681931
211261339094.1757714071-36481.1757714071
21233738798.4673385583-38461.4673385583
2133416655.72399240629-6314.72399240629
2141545611.90276113413-5457.90276113413
215364677.2721330092-4641.2721330092
216192-24240.174980524424432.1749805244
2177123422.9679528680946700.0320471319
218622-55679.503383035456301.5033830354
21917450146.0865977219-49972.0865977219
220222015825.4337049197-13605.4337049197
221121-65496.625984250965617.6259842509
2221181955076.0152071693-43257.0152071693
22302975.63608608226-2975.63608608226
2241952508.8521686539-52489.8521686539
22511100639.813904034-100628.813904034
2263598821.4912799071-98786.4912799071
2270102671.369161323-102671.369161323
228315380101829.124961735213550.875038265
2292952576956.5149674224-47431.5149674224
230752364003.3044830156-56480.3044830156
2311143172842.8271326502-61411.8271326502
232077444.9129567166-77444.9129567166
233053270.5394570308-53270.5394570308
234-363325.5218125579-63328.5218125579
235-849811.4799645645-49819.4799645645
236153397.5585467333-53396.5585467333
237178907.1370475124-78906.1370475124
238280191.3931912918-80189.3931912918
239021281.1782898015-21281.1782898015
2407878026334.989708420252445.0102915798
2416072047893.301504594312826.6984954057
24227044159.7870195575-43889.7870195575
24333338792.5618685802-38459.5618685802
2440387.392416543903-387.392416543903
245052504.2159069175-52504.2159069175
246640273100436.726100408539836.273899592
247345783110345.915350738235437.084649262
248652925111786.970277527541138.029722473
249439798110667.349887452329130.650112548
250278990111914.693882102167075.306117898
251339836111737.497599480228098.50240052
252240897111686.535109242129210.464890758
253315380112119.608513024203260.391486976
254571478578.432898424-72864.432898424
255077457.939633482-77457.939633482
256047237.6399949077-47237.6399949077
257045447.7205900174-45447.7205900174
258153403.3328155355-53402.3328155355
2596180167.7779151284-80106.7779151284
260328030.5394958896-28027.5394958896
2619721738.5346711874-21641.5346711874
262271567.88437143016-1540.88437143016
263129950.9993310212-29949.9993310212
2641416955.1908217616-16941.1908217616
2651328796.6809836748-28783.6809836748
266734609.8242297449-34602.8242297449
267540050.040529712-40045.040529712
2682425622.5392268472-25598.5392268472
269028083.8066115605-28083.8066115605
2706391526429.719756055637485.2802439444
2716071950215.471903473910503.5280965261
2725950033106.936053349226393.0639466508
2736072041108.058673599919611.9413264001
2745642890.3117495837-42834.3117495837
27518102003.912587153-101985.912587153
276431106755.529550307-106324.529550307
277250107452.735339250-107202.735339250
27816437375.0991297700-37211.0991297700
27940538792.5368282165-38387.5368282165
28017610925.8817093222-10749.8817093222
281236-2147.609230234092383.60923023409
282142-27581.86759958827723.867599588
28318014418.27161298459417595.7283870154
2840-82149.923664487782149.9236644877
285052509.7684785012-52509.7684785012
28698366097171.3471561968886488.652843803
287318574111875.415899859206698.584100141
288310768111417.488238324199350.511761676
289312887112114.713888905200772.286111095
290312339111972.090400210200366.909599790
291314964112126.323522932202837.676477068
292379983110658.203556764269324.796443236
293315380112171.183623255203208.816376745
294077485.0264801884-77485.0264801884
295050497.0133200781-50497.0133200781
296153408.7054386362-53407.7054386362
297081286.3200131945-81286.3200131945
298178468.8442600207-78467.8442600207
299172313.1891541467-72312.1891541467
300178899.0976793003-78898.0976793003
301088856.0021979606-88856.0021979606
3021-239287.102247166239288.102247166
303081018.1093743663-81018.1093743663
304280154.1765615469-80152.1765615469
305841447.6638134447-41439.6638134447
3061222706.4401375872-22694.4401375872
3076622852.5674737648-22786.5674737648
3080-9423.341103577019423.34110357701
30911476826327.466212744388440.5337872557
3106072038543.971789736322176.0282102637
3119638190.4522250322-38094.4522250322
31219828.2334987847-9827.2334987847
31341477664.4056894305-77250.4056894305
314388103717.535149784-103329.535149784
315409104452.065103509-104043.065103509
316184106469.856381181-106285.856381181
3173938795.6620439488-38756.6620439488
318101-90604.373101151290705.3731011512
3192561218.59837092385-962.598370923846
3201585408.3377301516761176.66226984832
3211618937610.6577567214-21421.6577567213
322031058.008794902-31058.008794902
323052517.511643903-52517.511643903
324375195100290.200374455274904.799625545
325288985112126.323013129176858.676986871
326315380112091.403280007203288.596719993
327300460908.2012741324-57904.2012741324
328077497.718991571-77497.718991571
329051979.2262176166-51979.2262176166
330049075.2270407685-49075.2270407685
331-5888957.1393050346-89015.1393050346
332153408.8385432363-53407.8385432363
333180310.3675919587-80309.3675919587
334080199.4864207749-80199.4864207749
3356079826469.465800721834328.5341992782
3366072042115.720286835018604.2797131650
33739643398.0529985053-43002.0529985053
338228106041.515803240-105813.515803240
33924938794.454703858-38545.454703858
3400397.628159158063-397.628159158063
34113652255.1918534147-52119.1918534147
34211488025.316437781-87911.316437781
3431582565.4707305681-82550.4707305681
34411105358.763163616-105347.763163616
34512101860.035492401-101848.035492401
346895896.2867517512-95888.2867517512
347122100448.952383483-100326.952383483
348113106761.737125082-106648.737125082
3496101980.818485746-101974.818485746
350099408.2688707023-99408.2688707023
351215362101145.167644927114216.832355073
352314073111794.825669010202278.174330990
353298096112063.108580695186032.891419305
354325176112078.481079256213097.518920744
355207393111383.60196555996009.3980344414
356314806112094.236771516202711.763228484
357341340110545.583789004230794.416210996
358426280111428.494066366314851.505933634
359929118108895.391708080820222.60829192
360307322112047.569053789195274.430946211
361315380112246.841374192203133.158625808
362302470284.8430793366-67260.8430793366
3631835778081.8909518386-59724.8909518386
364235378566.0595704073-76213.0595704073
365865275905.9068973812-67253.9068973812
3663861177390.2886142145-38779.2886142145
367950577867.315325648-68362.315325648
368410873050.4716691736-68942.4716691736
369077473.9239480622-77473.9239480622
370053424.4362422015-53424.4362422015
371080196.249596069-80196.249596069
3726072026498.367007187234221.6329928128
3739037184.109978968-37094.109978968
374168106647.622493980-106479.622493980
375208103813.419486878-103605.419486878
37622238793.8488328374-38571.8488328374
3770396.308985596709-396.308985596709
378352490.6426106174-52487.6426106174
3791599445.7005195782-99430.7005195782
3805592328.4986873729-92273.4986873729
3818591748.3272569415-91663.3272569415
3821796992.6662173235-96975.6662173235
383277101343.881650793-101066.881650793
3841090244.5814936573-90234.5814936573
3854100058.655549078-100054.655549078
386798921.5718627423-98914.5718627423
38726101153.294023462-101127.294023462
3884796150.3281979054-96103.3281979054
38920393264.5587373232-93061.5587373232
390588560.6314300246-88555.6314300246
391099597.080321643-99597.080321643
392315380101833.503324737213546.496675263
3931062081273.6435062477-70653.6435062477
394566975103.5040668951-69434.5040668951
3951058177576.4018597897-66995.4018597897
396253337478.9211866526-34945.9211866526
39782777027.7919647552-76200.7919647552
3985769477450.0271981998-19756.0271981998
399054133.655596195-54133.655596195
400052052.4458082697-52052.4458082697
4011455336.1652217946-55322.1652217946
4022854-214413.529305946217267.529305946
403053945.306278227-53945.306278227
404-1054757.1196607063-54767.1196607063
405-2897310.818925129-97338.818925129
406153383.0542496367-53382.0542496367
407174825.704039787-74824.704039787
408172597.729860615-72596.729860615
4097280183.6225203528-80111.6225203528
4101726694.6111752033-26677.6111752033
4114724894.6611654333-24847.6611654333
4126-22472.307716474122478.3077164741
4131123908.8390588624-23897.8390588624
4141057075.40236258142-6970.40236258142
4151731494.8782040044-31477.8782040044
416832854.221208905-32846.221208905
417831932.1019103272-31924.1019103272
4181424554.5459513553-24540.5459513553
419618850.6989151894-18844.6989151894
4205328118.5914832437-28065.5914832437
421634091.11681638275-4028.11681638275
4220-3478.465869829633478.46586982963
4236072025511.982610867635208.0173891324
4246180844659.278578210517148.7214217895
4256043848075.997356372712362.0026436273
4265859851337.90142963057260.09857036949
4275978146811.690268612712969.3097313873
4286094547528.300133926413416.6998660736
4296112446587.164488441114536.8355115589
4306072046828.957949848813891.0420501512
43136545040.4566629128-44675.4566629128






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
143.68839408296165e-127.37678816592329e-120.999999999996312
151.73319227036517e-153.46638454073034e-150.999999999999998
165.27652292070855e-191.05530458414171e-181
171.11609320394281e-222.23218640788563e-221
182.06588940286025e-264.1317788057205e-261
193.60251441067542e-307.20502882135083e-301
205.82707328206062e-341.16541465641212e-331
211.15146767145075e-372.30293534290149e-371
224.32649170723946e-418.65298341447892e-411
235.49152758598826e-211.09830551719765e-201
242.78343515583306e-225.56687031166612e-221
254.71750528641264e-159.43501057282528e-150.999999999999995
262.51867585941375e-145.0373517188275e-140.999999999999975
275.68878654127134e-151.13775730825427e-140.999999999999994
286.19819292816547e-161.23963858563309e-151
295.17666716850703e-171.03533343370141e-161
301.37579955770503e-172.75159911541005e-171
311.27365788985947e-182.54731577971894e-181
322.33326417380376e-144.66652834760753e-140.999999999999977
335.60729057019191e-151.12145811403838e-140.999999999999994
348.8376870463654e-161.76753740927308e-151
351.48734737542715e-162.97469475085431e-161
362.10350391408771e-174.20700782817541e-171
374.38537323785287e-188.77074647570573e-181
381.84178446908476e-183.68356893816952e-181
392.71248985878573e-195.42497971757146e-191
403.77859139182515e-207.5571827836503e-201
415.2505825907346e-211.05011651814692e-201
426.99254208260732e-221.39850841652146e-211
439.51371403009468e-231.90274280601894e-221
441.2269872461375e-232.453974492275e-231
451.59161685155202e-243.18323370310403e-241
461.99294854739888e-253.98589709479776e-251
477.4378044167204e-261.48756088334408e-251
481.60743154548681e-263.21486309097362e-261
498.12118992850647e-271.62423798570129e-261
501.83795151879222e-263.67590303758443e-261
512.67535360256123e-275.35070720512245e-271
524.02561265450512e-288.05122530901025e-281
536.25335344341475e-291.25067068868295e-281
541.81059145374061e-293.62118290748122e-291
558.6502880469504e-301.73005760939008e-291
561.26101249314456e-302.52202498628911e-301
571.71450042955601e-313.42900085911201e-311
582.56318592682222e-325.12637185364445e-321
593.74421661868736e-337.48843323737472e-331
606.84224242273993e-341.36844848454799e-331
613.20572872810498e-216.41145745620997e-211
626.97544501780135e-151.39508900356027e-140.999999999999993
633.99055525410566e-157.98111050821132e-150.999999999999996
648.54578506070364e-131.70915701214073e-120.999999999999145
654.47806413675636e-138.95612827351271e-130.999999999999552
666.53439394027038e-121.30687878805408e-110.999999999993466
672.67690213383586e-115.35380426767171e-110.99999999997323
687.87173446694572e-111.57434689338914e-100.999999999921283
691.84996591027837e-063.69993182055673e-060.99999815003409
701.90763532413682e-063.81527064827364e-060.999998092364676
714.82042636043367e-069.64085272086733e-060.99999517957364
726.95149562039196e-061.39029912407839e-050.99999304850438
734.23626982810384e-068.47253965620767e-060.999995763730172
742.58235799515406e-065.16471599030813e-060.999997417642005
751.55477146740532e-063.10954293481063e-060.999998445228533
769.3582337576359e-071.87164675152718e-060.999999064176624
776.33998368145309e-071.26799673629062e-060.999999366001632
784.39150423824525e-068.7830084764905e-060.999995608495762
792.88214550820863e-065.76429101641727e-060.999997117854492
801.87980687305867e-063.75961374611735e-060.999998120193127
811.17479232003698e-062.34958464007396e-060.99999882520768
827.71354861620487e-071.54270972324097e-060.999999228645138
834.62791087801011e-079.25582175602023e-070.999999537208912
843.88845371608508e-077.77690743217015e-070.999999611154628
853.74727152426632e-077.49454304853264e-070.999999625272848
863.96555620936524e-077.93111241873048e-070.999999603444379
872.96778072733145e-075.9355614546629e-070.999999703221927
882.13765427920900e-074.27530855841799e-070.999999786234572
891.41877113686256e-072.83754227372512e-070.999999858122886
901.35107913571914e-072.70215827143827e-070.999999864892086
911.00743548358202e-072.01487096716405e-070.999999899256452
926.33777094737441e-081.26755418947488e-070.99999993662229
933.98446647682357e-087.96893295364714e-080.999999960155335
942.54022877202610e-085.08045754405221e-080.999999974597712
951.49406083021900e-082.98812166043801e-080.999999985059392
968.67817901718458e-091.73563580343692e-080.999999991321821
974.94377315542391e-099.88754631084781e-090.999999995056227
983.0958473835937e-096.1916947671874e-090.999999996904153
991.74107573770241e-093.48215147540482e-090.999999998258924
1009.71737031780202e-101.94347406356040e-090.999999999028263
1015.41476266471096e-101.08295253294219e-090.999999999458524
1023.04425543818587e-106.08851087637175e-100.999999999695574
1032.4782901242229e-104.9565802484458e-100.999999999752171
1041.35818936845109e-102.71637873690218e-100.999999999864181
1051.37584399935374e-102.75168799870749e-100.999999999862416
1068.59874876211991e-111.71974975242398e-100.999999999914013
1075.1643161259386e-111.03286322518772e-100.999999999948357
1083.06590123676197e-116.13180247352395e-110.99999999996934
1091.88241363400628e-113.76482726801256e-110.999999999981176
1101.12019002511986e-112.24038005023971e-110.999999999988798
1117.36056272457522e-101.47211254491504e-090.999999999263944
1127.24075040485156e-101.44815008097031e-090.999999999275925
1137.45026257188177e-081.49005251437635e-070.999999925497374
1140.05541553471334510.1108310694266900.944584465286655
1150.5364233019423360.9271533961153280.463576698057664
1160.7875478509325050.424904298134990.212452149067495
1170.7796290737681910.4407418524636180.220370926231809
1180.8014341824289010.3971316351421980.198565817571099
1190.7937186174649240.4125627650701520.206281382535076
1200.7808217414818450.4383565170363090.219178258518155
1210.766699623768570.4666007524628590.233300376231429
1220.7540077370188890.4919845259622220.245992262981111
1230.7330802417862140.5338395164275730.266919758213786
1240.7122219240989110.5755561518021770.287778075901089
1250.6877259638412010.6245480723175970.312274036158799
1260.6645081152829970.6709837694340060.335491884717003
1270.6409021785602140.7181956428795720.359097821439786
1280.6174116818643570.7651766362712860.382588318135643
1290.5889579221807750.8220841556384490.411042077819225
1300.566245850756870.867508298486260.43375414924313
1310.5638005331733140.8723989336533730.436199466826686
1320.547311267313520.905377465372960.45268873268648
1330.522630294855940.9547394102881210.477369705144060
1340.4984627097744420.9969254195488840.501537290225558
1350.4744810404352720.9489620808705440.525518959564728
1360.4452757204753830.8905514409507670.554724279524617
1370.4235338476286930.8470676952573860.576466152371307
1380.3952909219880660.7905818439761310.604709078011934
1390.3708983062430150.7417966124860290.629101693756985
1400.3677157530080210.7354315060160420.632284246991979
1410.3438152007851420.6876304015702840.656184799214858
1420.3193867810524530.6387735621049060.680613218947547
1430.2972579959630790.5945159919261590.702742004036921
1440.2752237336031970.5504474672063940.724776266396803
1450.2507305270412090.5014610540824180.749269472958791
1460.2327051969077880.4654103938155760.767294803092212
1470.2155123773624390.4310247547248770.784487622637561
1480.2438836371026530.4877672742053060.756116362897347
1490.2508665699322430.5017331398644870.749133430067757
1500.2528364344556690.5056728689113390.74716356554433
1510.2508619466335230.5017238932670450.749138053366477
1520.2834217753628640.5668435507257270.716578224637136
1530.4655944596849430.9311889193698870.534405540315057
1540.4978454177993440.9956908355986880.502154582200656
1550.5288026340945940.9423947318108120.471197365905406
1560.5099241199624390.9801517600751220.490075880037561
1570.4892659601531520.9785319203063040.510734039846848
1580.4714300604782860.942860120956570.528569939521714
1590.4431016700282480.8862033400564960.556898329971752
1600.4205812206800370.8411624413600740.579418779319963
1610.3990023604844960.7980047209689910.600997639515504
1620.3781101327839120.7562202655678240.621889867216088
1630.3574678788207660.7149357576415320.642532121179234
1640.3363932850210370.6727865700420750.663606714978963
1650.3186686382355720.6373372764711440.681331361764428
1660.3022864651891030.6045729303782060.697713534810897
1670.2853743041296040.5707486082592080.714625695870396
1680.2683662194280940.5367324388561890.731633780571906
1690.2512385672865090.5024771345730190.748761432713491
1700.2359147492896280.4718294985792560.764085250710372
1710.2155391599434810.4310783198869630.784460840056519
1720.1964694298857880.3929388597715760.803530570114212
1730.1872941821246130.3745883642492250.812705817875387
1740.1794983432873620.3589966865747240.820501656712638
1750.1618013663753050.3236027327506100.838198633624695
1760.1480624927286750.2961249854573510.851937507271325
1770.1340210882415170.2680421764830350.865978911758483
1780.1193389186791000.2386778373581990.8806610813209
1790.1056876238279180.2113752476558370.894312376172082
1800.09325825945329230.1865165189065850.906741740546708
1810.08437846545921040.1687569309184210.91562153454079
1820.07386283197780230.1477256639556050.926137168022198
1830.06561575508528460.1312315101705690.934384244914715
1840.05896315295852260.1179263059170450.941036847041477
1850.05296952942539430.1059390588507890.947030470574606
1860.05292990560367960.1058598112073590.94707009439632
1870.05159874026386680.1031974805277340.948401259736133
1880.06198249630766130.1239649926153230.93801750369234
1890.05419346215935270.1083869243187050.945806537840647
1900.06350326063962240.1270065212792450.936496739360378
1910.05811809599992480.1162361919998500.941881904000075
1920.05071795486212360.1014359097242470.949282045137876
1930.04545221066042340.09090442132084680.954547789339577
1940.04125983648673680.08251967297347350.958740163513263
1950.03579667003225510.07159334006451020.964203329967745
1960.03161142714447510.06322285428895030.968388572855525
1970.02828140771820740.05656281543641470.971718592281793
1980.02417455776146370.04834911552292730.975825442238536
1990.02115347944706880.04230695889413760.978846520552931
2000.02141254159890730.04282508319781470.978587458401093
2010.02023788936660390.04047577873320790.979762110633396
2020.01973622330116520.03947244660233030.980263776698835
2030.01927808468328220.03855616936656440.980721915316718
2040.01856732291545670.03713464583091340.981432677084543
2050.01649810190946750.03299620381893490.983501898090533
2060.01594242413443880.03188484826887760.984057575865561
2070.01539827401172860.03079654802345710.984601725988271
2080.01433758290774750.02867516581549510.985662417092253
2090.01216813911355870.02433627822711750.987831860886441
2100.01020224014337450.02040448028674900.989797759856625
2110.0085819036950880.0171638073901760.991418096304912
2120.00721951423914690.01443902847829380.992780485760853
2130.005935394991385830.01187078998277170.994064605008614
2140.004857280430470480.009714560860940950.99514271956953
2150.003956889900846600.007913779801693190.996043110099153
2160.003250732891042610.006501465782085220.996749267108957
2170.002623990622066980.005247981244133960.997376009377933
2180.002268645584701620.004537291169403250.997731354415298
2190.001918567548041170.003837135096082340.99808143245196
2200.001541219343485320.003082438686970640.998458780656515
2210.001377353909815170.002754707819630340.998622646090185
2220.001140832961536550.00228166592307310.998859167038463
2230.0009062064333287850.001812412866657570.999093793566671
2240.0007564473850504570.001512894770100910.99924355261495
2250.0007458736957978290.001491747391595660.999254126304202
2260.0007141789481549860.001428357896309970.999285821051845
2270.0006825969320038560.001365193864007710.999317403067996
2280.001025696627619780.002051393255239570.99897430337238
2290.0008371815549991790.001674363109998360.999162818445
2300.0007027261384391070.001405452276878210.99929727386156
2310.0005779794442855510.001155958888571100.999422020555714
2320.0004838227042870170.0009676454085740350.999516177295713
2330.000406337394908770.000812674789817540.999593662605091
2340.0003514075076786890.0007028150153573790.999648592492321
2350.0002940221124612280.0005880442249224550.999705977887539
2360.0002483280627471730.0004966561254943450.999751671937253
2370.000218683949528770.000437367899057540.999781316050471
2380.0001940512032931030.0003881024065862060.999805948796707
2390.0001494454583011920.0002988909166023840.9998505545417
2400.0001182776107102660.0002365552214205320.99988172238929
2418.96975817678756e-050.0001793951635357510.999910302418232
2426.90016997999295e-050.0001380033995998590.9999309983002
2435.30898124736003e-050.0001061796249472010.999946910187526
2443.97209487202782e-057.94418974405564e-050.99996027905128
2453.18830221747848e-056.37660443495696e-050.999968116977825
2460.002265462902220740.004530925804441470.99773453709778
2470.003421372852351950.00684274570470390.996578627147648
2480.05496936295378820.1099387259075760.945030637046212
2490.1030390205731430.2060780411462860.896960979426857
2500.1061001928637900.2122003857275810.89389980713621
2510.1279743754722030.2559487509444050.872025624527797
2520.1230747646647220.2461495293294430.876925235335278
2530.1372938582149220.2745877164298440.862706141785078
2540.12632674518840.25265349037680.8736732548116
2550.1162264612204480.2324529224408960.883773538779552
2560.1063359900069000.2126719800137990.8936640099931
2570.09550873861280010.1910174772256000.9044912613872
2580.0879859858120790.1759719716241580.912014014187921
2590.08243883787115740.1648776757423150.917561162128843
2600.07281351960434660.1456270392086930.927186480395653
2610.06367136981728140.1273427396345630.936328630182719
2620.05531893591180570.1106378718236110.944681064088194
2630.0482737153464650.096547430692930.951726284653535
2640.04156922387521350.0831384477504270.958430776124787
2650.03593465031098570.07186930062197140.964065349689014
2660.03109063444402190.06218126888804380.968909365555978
2670.02694701824877280.05389403649754570.973052981751227
2680.02293280715502390.04586561431004780.977067192844976
2690.01948837287561840.03897674575123680.980511627124382
2700.01656131819936350.03312263639872710.983438681800636
2710.01382158964476110.02764317928952230.98617841035524
2720.01156986117686990.02313972235373970.98843013882313
2730.009601201278759680.01920240255751940.99039879872124
2740.00796244192240150.0159248838448030.992037558077599
2750.007512444668085740.01502488933617150.992487555331914
2760.007838881196173080.01567776239234620.992161118803827
2770.00768530233315530.01537060466631060.992314697666845
2780.006376080030859360.01275216006171870.99362391996914
2790.005282910035714650.01056582007142930.994717089964285
2800.004299503118958050.00859900623791610.995700496881042
2810.003467568854613070.006935137709226140.996532431145387
2820.002857970530424240.005715941060848470.997142029469576
2830.00228799414982660.00457598829965320.997712005850173
2840.003841158076051220.007682316152102450.99615884192395
2850.003194688946711170.006389377893422350.99680531105329
2860.7782783740869820.4434432518260360.221721625913018
2870.79799506105810.40400987788380.2020049389419
2880.8149919371113310.3700161257773380.185008062888669
2890.8314026519702950.3371946960594090.168597348029705
2900.8485123688862040.3029752622275930.151487631113796
2910.8661039580675770.2677920838648460.133896041932423
2920.9127234888835080.1745530222329840.087276511116492
2930.9262353807820760.1475292384358480.073764619217924
2940.9174683529477780.1650632941044440.0825316470522219
2950.9091627996358440.1816744007283120.0908372003641562
2960.9018735934660810.1962528130678380.0981264065339192
2970.8942036798275450.211592640344910.105796320172455
2980.8871781420199770.2256437159600450.112821857980023
2990.8796592095895440.2406815808209120.120340790410456
3000.8726482594093760.2547034811812470.127351740590624
3010.8669464096657060.2661071806685880.133053590334294
3020.9697657580420370.0604684839159260.030234241957963
3030.9647300516964020.07053989660719560.0352699483035978
3040.9588837825488570.08223243490228670.0411162174511433
3050.9525581401174660.09488371976506830.0474418598825342
3060.944550336377720.1108993272445580.055449663622279
3070.9355459834324890.1289080331350220.0644540165675111
3080.9251497069351610.1497005861296780.0748502930648392
3090.9188304933932160.1623390132135680.0811695066067842
3100.9069063367777440.1861873264445130.0930936632222564
3110.8932597572475460.2134804855049080.106740242752454
3120.8808790671992380.2382418656015250.119120932800762
3130.875702308907360.248595382185280.12429769109264
3140.877612884916580.2447742301668400.122387115083420
3150.8834751700037480.2330496599925040.116524829996252
3160.8977678085763160.2044643828473690.102232191423684
3170.8832630952173520.2334738095652970.116736904782648
3180.8968035945262050.2063928109475910.103196405473795
3190.8829157536582170.2341684926835670.117084246341783
3200.8690629591882810.2618740816234370.130937040811719
3210.8523467610438720.2953064779122560.147653238956128
3220.8352443179104250.3295113641791500.164755682089575
3230.814592382937090.3708152341258220.185407617062911
3240.8914645575564280.2170708848871440.108535442443572
3250.8908391251178130.2183217497643750.109160874882187
3260.8981984154953690.2036031690092620.101801584504631
3270.8860155515630140.2279688968739720.113984448436986
3280.8705655119975780.2588689760048440.129434488002422
3290.8645660624588490.2708678750823010.135433937541151
3300.8562870035270760.2874259929458470.143712996472924
3310.8654159859123770.2691680281752460.134584014087623
3320.8669992129713460.2660015740573070.133000787028654
3330.8491583007183160.3016833985633680.150841699281684
3340.8296824506940680.3406350986118640.170317549305932
3350.8076739085976460.3846521828047090.192326091402354
3360.783981181761090.4320376364778190.216018818238910
3370.7582047694704170.4835904610591660.241795230529583
3380.7922080748077140.4155838503845710.207791925192285
3390.7681772593054090.4636454813891830.231822740694591
3400.7466176328853770.5067647342292450.253382367114623
3410.7184059998449470.5631880003101060.281594000155053
3420.7159737411655220.5680525176689550.284026258834478
3430.6971270015022890.6057459969954220.302872998497711
3440.6913423227632110.6173153544735770.308657677236789
3450.6820578592073580.6358842815852850.317942140792642
3460.6658529829380460.6682940341239080.334147017061954
3470.6511513568599230.6976972862801540.348848643140077
3480.6827561715767850.634487656846430.317243828423215
3490.6650358736405330.6699282527189350.334964126359467
3500.643472410818170.713055178363660.35652758918183
3510.6473735521756570.7052528956486870.352626447824343
3520.6413151314604730.7173697370790530.358684868539527
3530.6303541221849770.7392917556300450.369645877815023
3540.6354571190042160.7290857619915680.364542880995784
3550.6019631255404560.7960737489190880.398036874459544
3560.6023991929449910.7952016141100190.397600807055009
3570.6300596832192290.7398806335615430.369940316780771
3580.7423376864354170.5153246271291660.257662313564583
3590.999999999930261.39480228000936e-106.9740114000468e-11
3600.9999999999997684.64857230576134e-132.32428615288067e-13
36119.07019384983164e-194.53509692491582e-19
36212.79765674272994e-181.39882837136497e-18
36318.56370640203937e-184.28185320101968e-18
36412.55706735593457e-171.27853367796729e-17
36517.74920046048732e-173.87460023024366e-17
36611.97753785918482e-169.88768929592411e-17
36715.90919388702874e-162.95459694351437e-16
36811.74514102060455e-158.72570510302274e-16
3690.9999999999999984.99134502863829e-152.49567251431915e-15
3700.9999999999999931.41169478634429e-147.05847393172145e-15
3710.999999999999984.03855943718911e-142.01927971859456e-14
3720.9999999999999666.81810787529591e-143.40905393764796e-14
3730.9999999999999181.63583021985131e-138.17915109925655e-14
3740.9999999999997774.45674723475491e-132.22837361737745e-13
3750.9999999999994351.13036810018707e-125.65184050093535e-13
3760.9999999999984533.09472957624582e-121.54736478812291e-12
3770.999999999996886.24184914385749e-123.12092457192874e-12
3780.9999999999962577.48561876030413e-123.74280938015207e-12
3790.9999999999901281.97438145160336e-119.87190725801681e-12
3800.9999999999742355.15291130290041e-112.57645565145021e-11
3810.9999999999486591.02682159877618e-105.1341079938809e-11
3820.9999999999056651.88669022818661e-109.43345114093307e-11
3830.999999999800023.99959432608701e-101.99979716304351e-10
3840.9999999997767234.46554039409323e-102.23277019704662e-10
3850.9999999994404971.1190069083512e-095.595034541756e-10
3860.9999999988798282.24034384047313e-091.12017192023657e-09
3870.99999999810513.78980206540988e-091.89490103270494e-09
3880.9999999966723136.65537348422925e-093.32768674211463e-09
3890.9999999990783281.84334308458940e-099.21671542294701e-10
3900.9999999999999271.46979887273474e-137.34899436367369e-14
39113.11591977005588e-181.55795988502794e-18
39219.63258044683543e-224.81629022341772e-22
39318.52375039383287e-214.26187519691643e-21
39416.61532393641525e-203.30766196820763e-20
39515.43551191378426e-192.71775595689213e-19
39614.60566666279695e-182.30283333139847e-18
39711.14410550680062e-185.72052753400309e-19
39812.34702658097632e-211.17351329048816e-21
39915.56366354014403e-282.78183177007201e-28
40011.72177410102724e-268.60887050513621e-27
40115.24089033306712e-252.62044516653356e-25
40211.41887773703844e-237.09438868519222e-24
40313.90628458048749e-221.95314229024374e-22
40419.814741286439e-214.9073706432195e-21
40512.69113671351351e-191.34556835675676e-19
40617.05474174124867e-183.52737087062434e-18
40711.41434361398490e-167.07171806992452e-17
4080.9999999999999983.37365058632937e-151.68682529316468e-15
4090.999999999999967.94600345563314e-143.97300172781657e-14
4100.999999999999221.56002596110064e-127.80012980550319e-13
4110.9999999999829873.40250535672922e-111.70125267836461e-11
4120.9999999998151533.6969421884029e-101.84847109420145e-10
4130.9999999965033636.9932735878007e-093.49663679390035e-09
4140.9999999287180131.42563974015312e-077.12819870076562e-08
4150.9999992095604011.58087919789973e-067.90439598949866e-07
4160.999982843589243.43128215193214e-051.71564107596607e-05
4170.999719806825720.0005603863485600840.000280193174280042

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
14 & 3.68839408296165e-12 & 7.37678816592329e-12 & 0.999999999996312 \tabularnewline
15 & 1.73319227036517e-15 & 3.46638454073034e-15 & 0.999999999999998 \tabularnewline
16 & 5.27652292070855e-19 & 1.05530458414171e-18 & 1 \tabularnewline
17 & 1.11609320394281e-22 & 2.23218640788563e-22 & 1 \tabularnewline
18 & 2.06588940286025e-26 & 4.1317788057205e-26 & 1 \tabularnewline
19 & 3.60251441067542e-30 & 7.20502882135083e-30 & 1 \tabularnewline
20 & 5.82707328206062e-34 & 1.16541465641212e-33 & 1 \tabularnewline
21 & 1.15146767145075e-37 & 2.30293534290149e-37 & 1 \tabularnewline
22 & 4.32649170723946e-41 & 8.65298341447892e-41 & 1 \tabularnewline
23 & 5.49152758598826e-21 & 1.09830551719765e-20 & 1 \tabularnewline
24 & 2.78343515583306e-22 & 5.56687031166612e-22 & 1 \tabularnewline
25 & 4.71750528641264e-15 & 9.43501057282528e-15 & 0.999999999999995 \tabularnewline
26 & 2.51867585941375e-14 & 5.0373517188275e-14 & 0.999999999999975 \tabularnewline
27 & 5.68878654127134e-15 & 1.13775730825427e-14 & 0.999999999999994 \tabularnewline
28 & 6.19819292816547e-16 & 1.23963858563309e-15 & 1 \tabularnewline
29 & 5.17666716850703e-17 & 1.03533343370141e-16 & 1 \tabularnewline
30 & 1.37579955770503e-17 & 2.75159911541005e-17 & 1 \tabularnewline
31 & 1.27365788985947e-18 & 2.54731577971894e-18 & 1 \tabularnewline
32 & 2.33326417380376e-14 & 4.66652834760753e-14 & 0.999999999999977 \tabularnewline
33 & 5.60729057019191e-15 & 1.12145811403838e-14 & 0.999999999999994 \tabularnewline
34 & 8.8376870463654e-16 & 1.76753740927308e-15 & 1 \tabularnewline
35 & 1.48734737542715e-16 & 2.97469475085431e-16 & 1 \tabularnewline
36 & 2.10350391408771e-17 & 4.20700782817541e-17 & 1 \tabularnewline
37 & 4.38537323785287e-18 & 8.77074647570573e-18 & 1 \tabularnewline
38 & 1.84178446908476e-18 & 3.68356893816952e-18 & 1 \tabularnewline
39 & 2.71248985878573e-19 & 5.42497971757146e-19 & 1 \tabularnewline
40 & 3.77859139182515e-20 & 7.5571827836503e-20 & 1 \tabularnewline
41 & 5.2505825907346e-21 & 1.05011651814692e-20 & 1 \tabularnewline
42 & 6.99254208260732e-22 & 1.39850841652146e-21 & 1 \tabularnewline
43 & 9.51371403009468e-23 & 1.90274280601894e-22 & 1 \tabularnewline
44 & 1.2269872461375e-23 & 2.453974492275e-23 & 1 \tabularnewline
45 & 1.59161685155202e-24 & 3.18323370310403e-24 & 1 \tabularnewline
46 & 1.99294854739888e-25 & 3.98589709479776e-25 & 1 \tabularnewline
47 & 7.4378044167204e-26 & 1.48756088334408e-25 & 1 \tabularnewline
48 & 1.60743154548681e-26 & 3.21486309097362e-26 & 1 \tabularnewline
49 & 8.12118992850647e-27 & 1.62423798570129e-26 & 1 \tabularnewline
50 & 1.83795151879222e-26 & 3.67590303758443e-26 & 1 \tabularnewline
51 & 2.67535360256123e-27 & 5.35070720512245e-27 & 1 \tabularnewline
52 & 4.02561265450512e-28 & 8.05122530901025e-28 & 1 \tabularnewline
53 & 6.25335344341475e-29 & 1.25067068868295e-28 & 1 \tabularnewline
54 & 1.81059145374061e-29 & 3.62118290748122e-29 & 1 \tabularnewline
55 & 8.6502880469504e-30 & 1.73005760939008e-29 & 1 \tabularnewline
56 & 1.26101249314456e-30 & 2.52202498628911e-30 & 1 \tabularnewline
57 & 1.71450042955601e-31 & 3.42900085911201e-31 & 1 \tabularnewline
58 & 2.56318592682222e-32 & 5.12637185364445e-32 & 1 \tabularnewline
59 & 3.74421661868736e-33 & 7.48843323737472e-33 & 1 \tabularnewline
60 & 6.84224242273993e-34 & 1.36844848454799e-33 & 1 \tabularnewline
61 & 3.20572872810498e-21 & 6.41145745620997e-21 & 1 \tabularnewline
62 & 6.97544501780135e-15 & 1.39508900356027e-14 & 0.999999999999993 \tabularnewline
63 & 3.99055525410566e-15 & 7.98111050821132e-15 & 0.999999999999996 \tabularnewline
64 & 8.54578506070364e-13 & 1.70915701214073e-12 & 0.999999999999145 \tabularnewline
65 & 4.47806413675636e-13 & 8.95612827351271e-13 & 0.999999999999552 \tabularnewline
66 & 6.53439394027038e-12 & 1.30687878805408e-11 & 0.999999999993466 \tabularnewline
67 & 2.67690213383586e-11 & 5.35380426767171e-11 & 0.99999999997323 \tabularnewline
68 & 7.87173446694572e-11 & 1.57434689338914e-10 & 0.999999999921283 \tabularnewline
69 & 1.84996591027837e-06 & 3.69993182055673e-06 & 0.99999815003409 \tabularnewline
70 & 1.90763532413682e-06 & 3.81527064827364e-06 & 0.999998092364676 \tabularnewline
71 & 4.82042636043367e-06 & 9.64085272086733e-06 & 0.99999517957364 \tabularnewline
72 & 6.95149562039196e-06 & 1.39029912407839e-05 & 0.99999304850438 \tabularnewline
73 & 4.23626982810384e-06 & 8.47253965620767e-06 & 0.999995763730172 \tabularnewline
74 & 2.58235799515406e-06 & 5.16471599030813e-06 & 0.999997417642005 \tabularnewline
75 & 1.55477146740532e-06 & 3.10954293481063e-06 & 0.999998445228533 \tabularnewline
76 & 9.3582337576359e-07 & 1.87164675152718e-06 & 0.999999064176624 \tabularnewline
77 & 6.33998368145309e-07 & 1.26799673629062e-06 & 0.999999366001632 \tabularnewline
78 & 4.39150423824525e-06 & 8.7830084764905e-06 & 0.999995608495762 \tabularnewline
79 & 2.88214550820863e-06 & 5.76429101641727e-06 & 0.999997117854492 \tabularnewline
80 & 1.87980687305867e-06 & 3.75961374611735e-06 & 0.999998120193127 \tabularnewline
81 & 1.17479232003698e-06 & 2.34958464007396e-06 & 0.99999882520768 \tabularnewline
82 & 7.71354861620487e-07 & 1.54270972324097e-06 & 0.999999228645138 \tabularnewline
83 & 4.62791087801011e-07 & 9.25582175602023e-07 & 0.999999537208912 \tabularnewline
84 & 3.88845371608508e-07 & 7.77690743217015e-07 & 0.999999611154628 \tabularnewline
85 & 3.74727152426632e-07 & 7.49454304853264e-07 & 0.999999625272848 \tabularnewline
86 & 3.96555620936524e-07 & 7.93111241873048e-07 & 0.999999603444379 \tabularnewline
87 & 2.96778072733145e-07 & 5.9355614546629e-07 & 0.999999703221927 \tabularnewline
88 & 2.13765427920900e-07 & 4.27530855841799e-07 & 0.999999786234572 \tabularnewline
89 & 1.41877113686256e-07 & 2.83754227372512e-07 & 0.999999858122886 \tabularnewline
90 & 1.35107913571914e-07 & 2.70215827143827e-07 & 0.999999864892086 \tabularnewline
91 & 1.00743548358202e-07 & 2.01487096716405e-07 & 0.999999899256452 \tabularnewline
92 & 6.33777094737441e-08 & 1.26755418947488e-07 & 0.99999993662229 \tabularnewline
93 & 3.98446647682357e-08 & 7.96893295364714e-08 & 0.999999960155335 \tabularnewline
94 & 2.54022877202610e-08 & 5.08045754405221e-08 & 0.999999974597712 \tabularnewline
95 & 1.49406083021900e-08 & 2.98812166043801e-08 & 0.999999985059392 \tabularnewline
96 & 8.67817901718458e-09 & 1.73563580343692e-08 & 0.999999991321821 \tabularnewline
97 & 4.94377315542391e-09 & 9.88754631084781e-09 & 0.999999995056227 \tabularnewline
98 & 3.0958473835937e-09 & 6.1916947671874e-09 & 0.999999996904153 \tabularnewline
99 & 1.74107573770241e-09 & 3.48215147540482e-09 & 0.999999998258924 \tabularnewline
100 & 9.71737031780202e-10 & 1.94347406356040e-09 & 0.999999999028263 \tabularnewline
101 & 5.41476266471096e-10 & 1.08295253294219e-09 & 0.999999999458524 \tabularnewline
102 & 3.04425543818587e-10 & 6.08851087637175e-10 & 0.999999999695574 \tabularnewline
103 & 2.4782901242229e-10 & 4.9565802484458e-10 & 0.999999999752171 \tabularnewline
104 & 1.35818936845109e-10 & 2.71637873690218e-10 & 0.999999999864181 \tabularnewline
105 & 1.37584399935374e-10 & 2.75168799870749e-10 & 0.999999999862416 \tabularnewline
106 & 8.59874876211991e-11 & 1.71974975242398e-10 & 0.999999999914013 \tabularnewline
107 & 5.1643161259386e-11 & 1.03286322518772e-10 & 0.999999999948357 \tabularnewline
108 & 3.06590123676197e-11 & 6.13180247352395e-11 & 0.99999999996934 \tabularnewline
109 & 1.88241363400628e-11 & 3.76482726801256e-11 & 0.999999999981176 \tabularnewline
110 & 1.12019002511986e-11 & 2.24038005023971e-11 & 0.999999999988798 \tabularnewline
111 & 7.36056272457522e-10 & 1.47211254491504e-09 & 0.999999999263944 \tabularnewline
112 & 7.24075040485156e-10 & 1.44815008097031e-09 & 0.999999999275925 \tabularnewline
113 & 7.45026257188177e-08 & 1.49005251437635e-07 & 0.999999925497374 \tabularnewline
114 & 0.0554155347133451 & 0.110831069426690 & 0.944584465286655 \tabularnewline
115 & 0.536423301942336 & 0.927153396115328 & 0.463576698057664 \tabularnewline
116 & 0.787547850932505 & 0.42490429813499 & 0.212452149067495 \tabularnewline
117 & 0.779629073768191 & 0.440741852463618 & 0.220370926231809 \tabularnewline
118 & 0.801434182428901 & 0.397131635142198 & 0.198565817571099 \tabularnewline
119 & 0.793718617464924 & 0.412562765070152 & 0.206281382535076 \tabularnewline
120 & 0.780821741481845 & 0.438356517036309 & 0.219178258518155 \tabularnewline
121 & 0.76669962376857 & 0.466600752462859 & 0.233300376231429 \tabularnewline
122 & 0.754007737018889 & 0.491984525962222 & 0.245992262981111 \tabularnewline
123 & 0.733080241786214 & 0.533839516427573 & 0.266919758213786 \tabularnewline
124 & 0.712221924098911 & 0.575556151802177 & 0.287778075901089 \tabularnewline
125 & 0.687725963841201 & 0.624548072317597 & 0.312274036158799 \tabularnewline
126 & 0.664508115282997 & 0.670983769434006 & 0.335491884717003 \tabularnewline
127 & 0.640902178560214 & 0.718195642879572 & 0.359097821439786 \tabularnewline
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348 & 0.682756171576785 & 0.63448765684643 & 0.317243828423215 \tabularnewline
349 & 0.665035873640533 & 0.669928252718935 & 0.334964126359467 \tabularnewline
350 & 0.64347241081817 & 0.71305517836366 & 0.35652758918183 \tabularnewline
351 & 0.647373552175657 & 0.705252895648687 & 0.352626447824343 \tabularnewline
352 & 0.641315131460473 & 0.717369737079053 & 0.358684868539527 \tabularnewline
353 & 0.630354122184977 & 0.739291755630045 & 0.369645877815023 \tabularnewline
354 & 0.635457119004216 & 0.729085761991568 & 0.364542880995784 \tabularnewline
355 & 0.601963125540456 & 0.796073748919088 & 0.398036874459544 \tabularnewline
356 & 0.602399192944991 & 0.795201614110019 & 0.397600807055009 \tabularnewline
357 & 0.630059683219229 & 0.739880633561543 & 0.369940316780771 \tabularnewline
358 & 0.742337686435417 & 0.515324627129166 & 0.257662313564583 \tabularnewline
359 & 0.99999999993026 & 1.39480228000936e-10 & 6.9740114000468e-11 \tabularnewline
360 & 0.999999999999768 & 4.64857230576134e-13 & 2.32428615288067e-13 \tabularnewline
361 & 1 & 9.07019384983164e-19 & 4.53509692491582e-19 \tabularnewline
362 & 1 & 2.79765674272994e-18 & 1.39882837136497e-18 \tabularnewline
363 & 1 & 8.56370640203937e-18 & 4.28185320101968e-18 \tabularnewline
364 & 1 & 2.55706735593457e-17 & 1.27853367796729e-17 \tabularnewline
365 & 1 & 7.74920046048732e-17 & 3.87460023024366e-17 \tabularnewline
366 & 1 & 1.97753785918482e-16 & 9.88768929592411e-17 \tabularnewline
367 & 1 & 5.90919388702874e-16 & 2.95459694351437e-16 \tabularnewline
368 & 1 & 1.74514102060455e-15 & 8.72570510302274e-16 \tabularnewline
369 & 0.999999999999998 & 4.99134502863829e-15 & 2.49567251431915e-15 \tabularnewline
370 & 0.999999999999993 & 1.41169478634429e-14 & 7.05847393172145e-15 \tabularnewline
371 & 0.99999999999998 & 4.03855943718911e-14 & 2.01927971859456e-14 \tabularnewline
372 & 0.999999999999966 & 6.81810787529591e-14 & 3.40905393764796e-14 \tabularnewline
373 & 0.999999999999918 & 1.63583021985131e-13 & 8.17915109925655e-14 \tabularnewline
374 & 0.999999999999777 & 4.45674723475491e-13 & 2.22837361737745e-13 \tabularnewline
375 & 0.999999999999435 & 1.13036810018707e-12 & 5.65184050093535e-13 \tabularnewline
376 & 0.999999999998453 & 3.09472957624582e-12 & 1.54736478812291e-12 \tabularnewline
377 & 0.99999999999688 & 6.24184914385749e-12 & 3.12092457192874e-12 \tabularnewline
378 & 0.999999999996257 & 7.48561876030413e-12 & 3.74280938015207e-12 \tabularnewline
379 & 0.999999999990128 & 1.97438145160336e-11 & 9.87190725801681e-12 \tabularnewline
380 & 0.999999999974235 & 5.15291130290041e-11 & 2.57645565145021e-11 \tabularnewline
381 & 0.999999999948659 & 1.02682159877618e-10 & 5.1341079938809e-11 \tabularnewline
382 & 0.999999999905665 & 1.88669022818661e-10 & 9.43345114093307e-11 \tabularnewline
383 & 0.99999999980002 & 3.99959432608701e-10 & 1.99979716304351e-10 \tabularnewline
384 & 0.999999999776723 & 4.46554039409323e-10 & 2.23277019704662e-10 \tabularnewline
385 & 0.999999999440497 & 1.1190069083512e-09 & 5.595034541756e-10 \tabularnewline
386 & 0.999999998879828 & 2.24034384047313e-09 & 1.12017192023657e-09 \tabularnewline
387 & 0.9999999981051 & 3.78980206540988e-09 & 1.89490103270494e-09 \tabularnewline
388 & 0.999999996672313 & 6.65537348422925e-09 & 3.32768674211463e-09 \tabularnewline
389 & 0.999999999078328 & 1.84334308458940e-09 & 9.21671542294701e-10 \tabularnewline
390 & 0.999999999999927 & 1.46979887273474e-13 & 7.34899436367369e-14 \tabularnewline
391 & 1 & 3.11591977005588e-18 & 1.55795988502794e-18 \tabularnewline
392 & 1 & 9.63258044683543e-22 & 4.81629022341772e-22 \tabularnewline
393 & 1 & 8.52375039383287e-21 & 4.26187519691643e-21 \tabularnewline
394 & 1 & 6.61532393641525e-20 & 3.30766196820763e-20 \tabularnewline
395 & 1 & 5.43551191378426e-19 & 2.71775595689213e-19 \tabularnewline
396 & 1 & 4.60566666279695e-18 & 2.30283333139847e-18 \tabularnewline
397 & 1 & 1.14410550680062e-18 & 5.72052753400309e-19 \tabularnewline
398 & 1 & 2.34702658097632e-21 & 1.17351329048816e-21 \tabularnewline
399 & 1 & 5.56366354014403e-28 & 2.78183177007201e-28 \tabularnewline
400 & 1 & 1.72177410102724e-26 & 8.60887050513621e-27 \tabularnewline
401 & 1 & 5.24089033306712e-25 & 2.62044516653356e-25 \tabularnewline
402 & 1 & 1.41887773703844e-23 & 7.09438868519222e-24 \tabularnewline
403 & 1 & 3.90628458048749e-22 & 1.95314229024374e-22 \tabularnewline
404 & 1 & 9.814741286439e-21 & 4.9073706432195e-21 \tabularnewline
405 & 1 & 2.69113671351351e-19 & 1.34556835675676e-19 \tabularnewline
406 & 1 & 7.05474174124867e-18 & 3.52737087062434e-18 \tabularnewline
407 & 1 & 1.41434361398490e-16 & 7.07171806992452e-17 \tabularnewline
408 & 0.999999999999998 & 3.37365058632937e-15 & 1.68682529316468e-15 \tabularnewline
409 & 0.99999999999996 & 7.94600345563314e-14 & 3.97300172781657e-14 \tabularnewline
410 & 0.99999999999922 & 1.56002596110064e-12 & 7.80012980550319e-13 \tabularnewline
411 & 0.999999999982987 & 3.40250535672922e-11 & 1.70125267836461e-11 \tabularnewline
412 & 0.999999999815153 & 3.6969421884029e-10 & 1.84847109420145e-10 \tabularnewline
413 & 0.999999996503363 & 6.9932735878007e-09 & 3.49663679390035e-09 \tabularnewline
414 & 0.999999928718013 & 1.42563974015312e-07 & 7.12819870076562e-08 \tabularnewline
415 & 0.999999209560401 & 1.58087919789973e-06 & 7.90439598949866e-07 \tabularnewline
416 & 0.99998284358924 & 3.43128215193214e-05 & 1.71564107596607e-05 \tabularnewline
417 & 0.99971980682572 & 0.000560386348560084 & 0.000280193174280042 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104690&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]14[/C][C]3.68839408296165e-12[/C][C]7.37678816592329e-12[/C][C]0.999999999996312[/C][/ROW]
[ROW][C]15[/C][C]1.73319227036517e-15[/C][C]3.46638454073034e-15[/C][C]0.999999999999998[/C][/ROW]
[ROW][C]16[/C][C]5.27652292070855e-19[/C][C]1.05530458414171e-18[/C][C]1[/C][/ROW]
[ROW][C]17[/C][C]1.11609320394281e-22[/C][C]2.23218640788563e-22[/C][C]1[/C][/ROW]
[ROW][C]18[/C][C]2.06588940286025e-26[/C][C]4.1317788057205e-26[/C][C]1[/C][/ROW]
[ROW][C]19[/C][C]3.60251441067542e-30[/C][C]7.20502882135083e-30[/C][C]1[/C][/ROW]
[ROW][C]20[/C][C]5.82707328206062e-34[/C][C]1.16541465641212e-33[/C][C]1[/C][/ROW]
[ROW][C]21[/C][C]1.15146767145075e-37[/C][C]2.30293534290149e-37[/C][C]1[/C][/ROW]
[ROW][C]22[/C][C]4.32649170723946e-41[/C][C]8.65298341447892e-41[/C][C]1[/C][/ROW]
[ROW][C]23[/C][C]5.49152758598826e-21[/C][C]1.09830551719765e-20[/C][C]1[/C][/ROW]
[ROW][C]24[/C][C]2.78343515583306e-22[/C][C]5.56687031166612e-22[/C][C]1[/C][/ROW]
[ROW][C]25[/C][C]4.71750528641264e-15[/C][C]9.43501057282528e-15[/C][C]0.999999999999995[/C][/ROW]
[ROW][C]26[/C][C]2.51867585941375e-14[/C][C]5.0373517188275e-14[/C][C]0.999999999999975[/C][/ROW]
[ROW][C]27[/C][C]5.68878654127134e-15[/C][C]1.13775730825427e-14[/C][C]0.999999999999994[/C][/ROW]
[ROW][C]28[/C][C]6.19819292816547e-16[/C][C]1.23963858563309e-15[/C][C]1[/C][/ROW]
[ROW][C]29[/C][C]5.17666716850703e-17[/C][C]1.03533343370141e-16[/C][C]1[/C][/ROW]
[ROW][C]30[/C][C]1.37579955770503e-17[/C][C]2.75159911541005e-17[/C][C]1[/C][/ROW]
[ROW][C]31[/C][C]1.27365788985947e-18[/C][C]2.54731577971894e-18[/C][C]1[/C][/ROW]
[ROW][C]32[/C][C]2.33326417380376e-14[/C][C]4.66652834760753e-14[/C][C]0.999999999999977[/C][/ROW]
[ROW][C]33[/C][C]5.60729057019191e-15[/C][C]1.12145811403838e-14[/C][C]0.999999999999994[/C][/ROW]
[ROW][C]34[/C][C]8.8376870463654e-16[/C][C]1.76753740927308e-15[/C][C]1[/C][/ROW]
[ROW][C]35[/C][C]1.48734737542715e-16[/C][C]2.97469475085431e-16[/C][C]1[/C][/ROW]
[ROW][C]36[/C][C]2.10350391408771e-17[/C][C]4.20700782817541e-17[/C][C]1[/C][/ROW]
[ROW][C]37[/C][C]4.38537323785287e-18[/C][C]8.77074647570573e-18[/C][C]1[/C][/ROW]
[ROW][C]38[/C][C]1.84178446908476e-18[/C][C]3.68356893816952e-18[/C][C]1[/C][/ROW]
[ROW][C]39[/C][C]2.71248985878573e-19[/C][C]5.42497971757146e-19[/C][C]1[/C][/ROW]
[ROW][C]40[/C][C]3.77859139182515e-20[/C][C]7.5571827836503e-20[/C][C]1[/C][/ROW]
[ROW][C]41[/C][C]5.2505825907346e-21[/C][C]1.05011651814692e-20[/C][C]1[/C][/ROW]
[ROW][C]42[/C][C]6.99254208260732e-22[/C][C]1.39850841652146e-21[/C][C]1[/C][/ROW]
[ROW][C]43[/C][C]9.51371403009468e-23[/C][C]1.90274280601894e-22[/C][C]1[/C][/ROW]
[ROW][C]44[/C][C]1.2269872461375e-23[/C][C]2.453974492275e-23[/C][C]1[/C][/ROW]
[ROW][C]45[/C][C]1.59161685155202e-24[/C][C]3.18323370310403e-24[/C][C]1[/C][/ROW]
[ROW][C]46[/C][C]1.99294854739888e-25[/C][C]3.98589709479776e-25[/C][C]1[/C][/ROW]
[ROW][C]47[/C][C]7.4378044167204e-26[/C][C]1.48756088334408e-25[/C][C]1[/C][/ROW]
[ROW][C]48[/C][C]1.60743154548681e-26[/C][C]3.21486309097362e-26[/C][C]1[/C][/ROW]
[ROW][C]49[/C][C]8.12118992850647e-27[/C][C]1.62423798570129e-26[/C][C]1[/C][/ROW]
[ROW][C]50[/C][C]1.83795151879222e-26[/C][C]3.67590303758443e-26[/C][C]1[/C][/ROW]
[ROW][C]51[/C][C]2.67535360256123e-27[/C][C]5.35070720512245e-27[/C][C]1[/C][/ROW]
[ROW][C]52[/C][C]4.02561265450512e-28[/C][C]8.05122530901025e-28[/C][C]1[/C][/ROW]
[ROW][C]53[/C][C]6.25335344341475e-29[/C][C]1.25067068868295e-28[/C][C]1[/C][/ROW]
[ROW][C]54[/C][C]1.81059145374061e-29[/C][C]3.62118290748122e-29[/C][C]1[/C][/ROW]
[ROW][C]55[/C][C]8.6502880469504e-30[/C][C]1.73005760939008e-29[/C][C]1[/C][/ROW]
[ROW][C]56[/C][C]1.26101249314456e-30[/C][C]2.52202498628911e-30[/C][C]1[/C][/ROW]
[ROW][C]57[/C][C]1.71450042955601e-31[/C][C]3.42900085911201e-31[/C][C]1[/C][/ROW]
[ROW][C]58[/C][C]2.56318592682222e-32[/C][C]5.12637185364445e-32[/C][C]1[/C][/ROW]
[ROW][C]59[/C][C]3.74421661868736e-33[/C][C]7.48843323737472e-33[/C][C]1[/C][/ROW]
[ROW][C]60[/C][C]6.84224242273993e-34[/C][C]1.36844848454799e-33[/C][C]1[/C][/ROW]
[ROW][C]61[/C][C]3.20572872810498e-21[/C][C]6.41145745620997e-21[/C][C]1[/C][/ROW]
[ROW][C]62[/C][C]6.97544501780135e-15[/C][C]1.39508900356027e-14[/C][C]0.999999999999993[/C][/ROW]
[ROW][C]63[/C][C]3.99055525410566e-15[/C][C]7.98111050821132e-15[/C][C]0.999999999999996[/C][/ROW]
[ROW][C]64[/C][C]8.54578506070364e-13[/C][C]1.70915701214073e-12[/C][C]0.999999999999145[/C][/ROW]
[ROW][C]65[/C][C]4.47806413675636e-13[/C][C]8.95612827351271e-13[/C][C]0.999999999999552[/C][/ROW]
[ROW][C]66[/C][C]6.53439394027038e-12[/C][C]1.30687878805408e-11[/C][C]0.999999999993466[/C][/ROW]
[ROW][C]67[/C][C]2.67690213383586e-11[/C][C]5.35380426767171e-11[/C][C]0.99999999997323[/C][/ROW]
[ROW][C]68[/C][C]7.87173446694572e-11[/C][C]1.57434689338914e-10[/C][C]0.999999999921283[/C][/ROW]
[ROW][C]69[/C][C]1.84996591027837e-06[/C][C]3.69993182055673e-06[/C][C]0.99999815003409[/C][/ROW]
[ROW][C]70[/C][C]1.90763532413682e-06[/C][C]3.81527064827364e-06[/C][C]0.999998092364676[/C][/ROW]
[ROW][C]71[/C][C]4.82042636043367e-06[/C][C]9.64085272086733e-06[/C][C]0.99999517957364[/C][/ROW]
[ROW][C]72[/C][C]6.95149562039196e-06[/C][C]1.39029912407839e-05[/C][C]0.99999304850438[/C][/ROW]
[ROW][C]73[/C][C]4.23626982810384e-06[/C][C]8.47253965620767e-06[/C][C]0.999995763730172[/C][/ROW]
[ROW][C]74[/C][C]2.58235799515406e-06[/C][C]5.16471599030813e-06[/C][C]0.999997417642005[/C][/ROW]
[ROW][C]75[/C][C]1.55477146740532e-06[/C][C]3.10954293481063e-06[/C][C]0.999998445228533[/C][/ROW]
[ROW][C]76[/C][C]9.3582337576359e-07[/C][C]1.87164675152718e-06[/C][C]0.999999064176624[/C][/ROW]
[ROW][C]77[/C][C]6.33998368145309e-07[/C][C]1.26799673629062e-06[/C][C]0.999999366001632[/C][/ROW]
[ROW][C]78[/C][C]4.39150423824525e-06[/C][C]8.7830084764905e-06[/C][C]0.999995608495762[/C][/ROW]
[ROW][C]79[/C][C]2.88214550820863e-06[/C][C]5.76429101641727e-06[/C][C]0.999997117854492[/C][/ROW]
[ROW][C]80[/C][C]1.87980687305867e-06[/C][C]3.75961374611735e-06[/C][C]0.999998120193127[/C][/ROW]
[ROW][C]81[/C][C]1.17479232003698e-06[/C][C]2.34958464007396e-06[/C][C]0.99999882520768[/C][/ROW]
[ROW][C]82[/C][C]7.71354861620487e-07[/C][C]1.54270972324097e-06[/C][C]0.999999228645138[/C][/ROW]
[ROW][C]83[/C][C]4.62791087801011e-07[/C][C]9.25582175602023e-07[/C][C]0.999999537208912[/C][/ROW]
[ROW][C]84[/C][C]3.88845371608508e-07[/C][C]7.77690743217015e-07[/C][C]0.999999611154628[/C][/ROW]
[ROW][C]85[/C][C]3.74727152426632e-07[/C][C]7.49454304853264e-07[/C][C]0.999999625272848[/C][/ROW]
[ROW][C]86[/C][C]3.96555620936524e-07[/C][C]7.93111241873048e-07[/C][C]0.999999603444379[/C][/ROW]
[ROW][C]87[/C][C]2.96778072733145e-07[/C][C]5.9355614546629e-07[/C][C]0.999999703221927[/C][/ROW]
[ROW][C]88[/C][C]2.13765427920900e-07[/C][C]4.27530855841799e-07[/C][C]0.999999786234572[/C][/ROW]
[ROW][C]89[/C][C]1.41877113686256e-07[/C][C]2.83754227372512e-07[/C][C]0.999999858122886[/C][/ROW]
[ROW][C]90[/C][C]1.35107913571914e-07[/C][C]2.70215827143827e-07[/C][C]0.999999864892086[/C][/ROW]
[ROW][C]91[/C][C]1.00743548358202e-07[/C][C]2.01487096716405e-07[/C][C]0.999999899256452[/C][/ROW]
[ROW][C]92[/C][C]6.33777094737441e-08[/C][C]1.26755418947488e-07[/C][C]0.99999993662229[/C][/ROW]
[ROW][C]93[/C][C]3.98446647682357e-08[/C][C]7.96893295364714e-08[/C][C]0.999999960155335[/C][/ROW]
[ROW][C]94[/C][C]2.54022877202610e-08[/C][C]5.08045754405221e-08[/C][C]0.999999974597712[/C][/ROW]
[ROW][C]95[/C][C]1.49406083021900e-08[/C][C]2.98812166043801e-08[/C][C]0.999999985059392[/C][/ROW]
[ROW][C]96[/C][C]8.67817901718458e-09[/C][C]1.73563580343692e-08[/C][C]0.999999991321821[/C][/ROW]
[ROW][C]97[/C][C]4.94377315542391e-09[/C][C]9.88754631084781e-09[/C][C]0.999999995056227[/C][/ROW]
[ROW][C]98[/C][C]3.0958473835937e-09[/C][C]6.1916947671874e-09[/C][C]0.999999996904153[/C][/ROW]
[ROW][C]99[/C][C]1.74107573770241e-09[/C][C]3.48215147540482e-09[/C][C]0.999999998258924[/C][/ROW]
[ROW][C]100[/C][C]9.71737031780202e-10[/C][C]1.94347406356040e-09[/C][C]0.999999999028263[/C][/ROW]
[ROW][C]101[/C][C]5.41476266471096e-10[/C][C]1.08295253294219e-09[/C][C]0.999999999458524[/C][/ROW]
[ROW][C]102[/C][C]3.04425543818587e-10[/C][C]6.08851087637175e-10[/C][C]0.999999999695574[/C][/ROW]
[ROW][C]103[/C][C]2.4782901242229e-10[/C][C]4.9565802484458e-10[/C][C]0.999999999752171[/C][/ROW]
[ROW][C]104[/C][C]1.35818936845109e-10[/C][C]2.71637873690218e-10[/C][C]0.999999999864181[/C][/ROW]
[ROW][C]105[/C][C]1.37584399935374e-10[/C][C]2.75168799870749e-10[/C][C]0.999999999862416[/C][/ROW]
[ROW][C]106[/C][C]8.59874876211991e-11[/C][C]1.71974975242398e-10[/C][C]0.999999999914013[/C][/ROW]
[ROW][C]107[/C][C]5.1643161259386e-11[/C][C]1.03286322518772e-10[/C][C]0.999999999948357[/C][/ROW]
[ROW][C]108[/C][C]3.06590123676197e-11[/C][C]6.13180247352395e-11[/C][C]0.99999999996934[/C][/ROW]
[ROW][C]109[/C][C]1.88241363400628e-11[/C][C]3.76482726801256e-11[/C][C]0.999999999981176[/C][/ROW]
[ROW][C]110[/C][C]1.12019002511986e-11[/C][C]2.24038005023971e-11[/C][C]0.999999999988798[/C][/ROW]
[ROW][C]111[/C][C]7.36056272457522e-10[/C][C]1.47211254491504e-09[/C][C]0.999999999263944[/C][/ROW]
[ROW][C]112[/C][C]7.24075040485156e-10[/C][C]1.44815008097031e-09[/C][C]0.999999999275925[/C][/ROW]
[ROW][C]113[/C][C]7.45026257188177e-08[/C][C]1.49005251437635e-07[/C][C]0.999999925497374[/C][/ROW]
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[ROW][C]360[/C][C]0.999999999999768[/C][C]4.64857230576134e-13[/C][C]2.32428615288067e-13[/C][/ROW]
[ROW][C]361[/C][C]1[/C][C]9.07019384983164e-19[/C][C]4.53509692491582e-19[/C][/ROW]
[ROW][C]362[/C][C]1[/C][C]2.79765674272994e-18[/C][C]1.39882837136497e-18[/C][/ROW]
[ROW][C]363[/C][C]1[/C][C]8.56370640203937e-18[/C][C]4.28185320101968e-18[/C][/ROW]
[ROW][C]364[/C][C]1[/C][C]2.55706735593457e-17[/C][C]1.27853367796729e-17[/C][/ROW]
[ROW][C]365[/C][C]1[/C][C]7.74920046048732e-17[/C][C]3.87460023024366e-17[/C][/ROW]
[ROW][C]366[/C][C]1[/C][C]1.97753785918482e-16[/C][C]9.88768929592411e-17[/C][/ROW]
[ROW][C]367[/C][C]1[/C][C]5.90919388702874e-16[/C][C]2.95459694351437e-16[/C][/ROW]
[ROW][C]368[/C][C]1[/C][C]1.74514102060455e-15[/C][C]8.72570510302274e-16[/C][/ROW]
[ROW][C]369[/C][C]0.999999999999998[/C][C]4.99134502863829e-15[/C][C]2.49567251431915e-15[/C][/ROW]
[ROW][C]370[/C][C]0.999999999999993[/C][C]1.41169478634429e-14[/C][C]7.05847393172145e-15[/C][/ROW]
[ROW][C]371[/C][C]0.99999999999998[/C][C]4.03855943718911e-14[/C][C]2.01927971859456e-14[/C][/ROW]
[ROW][C]372[/C][C]0.999999999999966[/C][C]6.81810787529591e-14[/C][C]3.40905393764796e-14[/C][/ROW]
[ROW][C]373[/C][C]0.999999999999918[/C][C]1.63583021985131e-13[/C][C]8.17915109925655e-14[/C][/ROW]
[ROW][C]374[/C][C]0.999999999999777[/C][C]4.45674723475491e-13[/C][C]2.22837361737745e-13[/C][/ROW]
[ROW][C]375[/C][C]0.999999999999435[/C][C]1.13036810018707e-12[/C][C]5.65184050093535e-13[/C][/ROW]
[ROW][C]376[/C][C]0.999999999998453[/C][C]3.09472957624582e-12[/C][C]1.54736478812291e-12[/C][/ROW]
[ROW][C]377[/C][C]0.99999999999688[/C][C]6.24184914385749e-12[/C][C]3.12092457192874e-12[/C][/ROW]
[ROW][C]378[/C][C]0.999999999996257[/C][C]7.48561876030413e-12[/C][C]3.74280938015207e-12[/C][/ROW]
[ROW][C]379[/C][C]0.999999999990128[/C][C]1.97438145160336e-11[/C][C]9.87190725801681e-12[/C][/ROW]
[ROW][C]380[/C][C]0.999999999974235[/C][C]5.15291130290041e-11[/C][C]2.57645565145021e-11[/C][/ROW]
[ROW][C]381[/C][C]0.999999999948659[/C][C]1.02682159877618e-10[/C][C]5.1341079938809e-11[/C][/ROW]
[ROW][C]382[/C][C]0.999999999905665[/C][C]1.88669022818661e-10[/C][C]9.43345114093307e-11[/C][/ROW]
[ROW][C]383[/C][C]0.99999999980002[/C][C]3.99959432608701e-10[/C][C]1.99979716304351e-10[/C][/ROW]
[ROW][C]384[/C][C]0.999999999776723[/C][C]4.46554039409323e-10[/C][C]2.23277019704662e-10[/C][/ROW]
[ROW][C]385[/C][C]0.999999999440497[/C][C]1.1190069083512e-09[/C][C]5.595034541756e-10[/C][/ROW]
[ROW][C]386[/C][C]0.999999998879828[/C][C]2.24034384047313e-09[/C][C]1.12017192023657e-09[/C][/ROW]
[ROW][C]387[/C][C]0.9999999981051[/C][C]3.78980206540988e-09[/C][C]1.89490103270494e-09[/C][/ROW]
[ROW][C]388[/C][C]0.999999996672313[/C][C]6.65537348422925e-09[/C][C]3.32768674211463e-09[/C][/ROW]
[ROW][C]389[/C][C]0.999999999078328[/C][C]1.84334308458940e-09[/C][C]9.21671542294701e-10[/C][/ROW]
[ROW][C]390[/C][C]0.999999999999927[/C][C]1.46979887273474e-13[/C][C]7.34899436367369e-14[/C][/ROW]
[ROW][C]391[/C][C]1[/C][C]3.11591977005588e-18[/C][C]1.55795988502794e-18[/C][/ROW]
[ROW][C]392[/C][C]1[/C][C]9.63258044683543e-22[/C][C]4.81629022341772e-22[/C][/ROW]
[ROW][C]393[/C][C]1[/C][C]8.52375039383287e-21[/C][C]4.26187519691643e-21[/C][/ROW]
[ROW][C]394[/C][C]1[/C][C]6.61532393641525e-20[/C][C]3.30766196820763e-20[/C][/ROW]
[ROW][C]395[/C][C]1[/C][C]5.43551191378426e-19[/C][C]2.71775595689213e-19[/C][/ROW]
[ROW][C]396[/C][C]1[/C][C]4.60566666279695e-18[/C][C]2.30283333139847e-18[/C][/ROW]
[ROW][C]397[/C][C]1[/C][C]1.14410550680062e-18[/C][C]5.72052753400309e-19[/C][/ROW]
[ROW][C]398[/C][C]1[/C][C]2.34702658097632e-21[/C][C]1.17351329048816e-21[/C][/ROW]
[ROW][C]399[/C][C]1[/C][C]5.56366354014403e-28[/C][C]2.78183177007201e-28[/C][/ROW]
[ROW][C]400[/C][C]1[/C][C]1.72177410102724e-26[/C][C]8.60887050513621e-27[/C][/ROW]
[ROW][C]401[/C][C]1[/C][C]5.24089033306712e-25[/C][C]2.62044516653356e-25[/C][/ROW]
[ROW][C]402[/C][C]1[/C][C]1.41887773703844e-23[/C][C]7.09438868519222e-24[/C][/ROW]
[ROW][C]403[/C][C]1[/C][C]3.90628458048749e-22[/C][C]1.95314229024374e-22[/C][/ROW]
[ROW][C]404[/C][C]1[/C][C]9.814741286439e-21[/C][C]4.9073706432195e-21[/C][/ROW]
[ROW][C]405[/C][C]1[/C][C]2.69113671351351e-19[/C][C]1.34556835675676e-19[/C][/ROW]
[ROW][C]406[/C][C]1[/C][C]7.05474174124867e-18[/C][C]3.52737087062434e-18[/C][/ROW]
[ROW][C]407[/C][C]1[/C][C]1.41434361398490e-16[/C][C]7.07171806992452e-17[/C][/ROW]
[ROW][C]408[/C][C]0.999999999999998[/C][C]3.37365058632937e-15[/C][C]1.68682529316468e-15[/C][/ROW]
[ROW][C]409[/C][C]0.99999999999996[/C][C]7.94600345563314e-14[/C][C]3.97300172781657e-14[/C][/ROW]
[ROW][C]410[/C][C]0.99999999999922[/C][C]1.56002596110064e-12[/C][C]7.80012980550319e-13[/C][/ROW]
[ROW][C]411[/C][C]0.999999999982987[/C][C]3.40250535672922e-11[/C][C]1.70125267836461e-11[/C][/ROW]
[ROW][C]412[/C][C]0.999999999815153[/C][C]3.6969421884029e-10[/C][C]1.84847109420145e-10[/C][/ROW]
[ROW][C]413[/C][C]0.999999996503363[/C][C]6.9932735878007e-09[/C][C]3.49663679390035e-09[/C][/ROW]
[ROW][C]414[/C][C]0.999999928718013[/C][C]1.42563974015312e-07[/C][C]7.12819870076562e-08[/C][/ROW]
[ROW][C]415[/C][C]0.999999209560401[/C][C]1.58087919789973e-06[/C][C]7.90439598949866e-07[/C][/ROW]
[ROW][C]416[/C][C]0.99998284358924[/C][C]3.43128215193214e-05[/C][C]1.71564107596607e-05[/C][/ROW]
[ROW][C]417[/C][C]0.99971980682572[/C][C]0.000560386348560084[/C][C]0.000280193174280042[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104690&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104690&T=5

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
143.68839408296165e-127.37678816592329e-120.999999999996312
151.73319227036517e-153.46638454073034e-150.999999999999998
165.27652292070855e-191.05530458414171e-181
171.11609320394281e-222.23218640788563e-221
182.06588940286025e-264.1317788057205e-261
193.60251441067542e-307.20502882135083e-301
205.82707328206062e-341.16541465641212e-331
211.15146767145075e-372.30293534290149e-371
224.32649170723946e-418.65298341447892e-411
235.49152758598826e-211.09830551719765e-201
242.78343515583306e-225.56687031166612e-221
254.71750528641264e-159.43501057282528e-150.999999999999995
262.51867585941375e-145.0373517188275e-140.999999999999975
275.68878654127134e-151.13775730825427e-140.999999999999994
286.19819292816547e-161.23963858563309e-151
295.17666716850703e-171.03533343370141e-161
301.37579955770503e-172.75159911541005e-171
311.27365788985947e-182.54731577971894e-181
322.33326417380376e-144.66652834760753e-140.999999999999977
335.60729057019191e-151.12145811403838e-140.999999999999994
348.8376870463654e-161.76753740927308e-151
351.48734737542715e-162.97469475085431e-161
362.10350391408771e-174.20700782817541e-171
374.38537323785287e-188.77074647570573e-181
381.84178446908476e-183.68356893816952e-181
392.71248985878573e-195.42497971757146e-191
403.77859139182515e-207.5571827836503e-201
415.2505825907346e-211.05011651814692e-201
426.99254208260732e-221.39850841652146e-211
439.51371403009468e-231.90274280601894e-221
441.2269872461375e-232.453974492275e-231
451.59161685155202e-243.18323370310403e-241
461.99294854739888e-253.98589709479776e-251
477.4378044167204e-261.48756088334408e-251
481.60743154548681e-263.21486309097362e-261
498.12118992850647e-271.62423798570129e-261
501.83795151879222e-263.67590303758443e-261
512.67535360256123e-275.35070720512245e-271
524.02561265450512e-288.05122530901025e-281
536.25335344341475e-291.25067068868295e-281
541.81059145374061e-293.62118290748122e-291
558.6502880469504e-301.73005760939008e-291
561.26101249314456e-302.52202498628911e-301
571.71450042955601e-313.42900085911201e-311
582.56318592682222e-325.12637185364445e-321
593.74421661868736e-337.48843323737472e-331
606.84224242273993e-341.36844848454799e-331
613.20572872810498e-216.41145745620997e-211
626.97544501780135e-151.39508900356027e-140.999999999999993
633.99055525410566e-157.98111050821132e-150.999999999999996
648.54578506070364e-131.70915701214073e-120.999999999999145
654.47806413675636e-138.95612827351271e-130.999999999999552
666.53439394027038e-121.30687878805408e-110.999999999993466
672.67690213383586e-115.35380426767171e-110.99999999997323
687.87173446694572e-111.57434689338914e-100.999999999921283
691.84996591027837e-063.69993182055673e-060.99999815003409
701.90763532413682e-063.81527064827364e-060.999998092364676
714.82042636043367e-069.64085272086733e-060.99999517957364
726.95149562039196e-061.39029912407839e-050.99999304850438
734.23626982810384e-068.47253965620767e-060.999995763730172
742.58235799515406e-065.16471599030813e-060.999997417642005
751.55477146740532e-063.10954293481063e-060.999998445228533
769.3582337576359e-071.87164675152718e-060.999999064176624
776.33998368145309e-071.26799673629062e-060.999999366001632
784.39150423824525e-068.7830084764905e-060.999995608495762
792.88214550820863e-065.76429101641727e-060.999997117854492
801.87980687305867e-063.75961374611735e-060.999998120193127
811.17479232003698e-062.34958464007396e-060.99999882520768
827.71354861620487e-071.54270972324097e-060.999999228645138
834.62791087801011e-079.25582175602023e-070.999999537208912
843.88845371608508e-077.77690743217015e-070.999999611154628
853.74727152426632e-077.49454304853264e-070.999999625272848
863.96555620936524e-077.93111241873048e-070.999999603444379
872.96778072733145e-075.9355614546629e-070.999999703221927
882.13765427920900e-074.27530855841799e-070.999999786234572
891.41877113686256e-072.83754227372512e-070.999999858122886
901.35107913571914e-072.70215827143827e-070.999999864892086
911.00743548358202e-072.01487096716405e-070.999999899256452
926.33777094737441e-081.26755418947488e-070.99999993662229
933.98446647682357e-087.96893295364714e-080.999999960155335
942.54022877202610e-085.08045754405221e-080.999999974597712
951.49406083021900e-082.98812166043801e-080.999999985059392
968.67817901718458e-091.73563580343692e-080.999999991321821
974.94377315542391e-099.88754631084781e-090.999999995056227
983.0958473835937e-096.1916947671874e-090.999999996904153
991.74107573770241e-093.48215147540482e-090.999999998258924
1009.71737031780202e-101.94347406356040e-090.999999999028263
1015.41476266471096e-101.08295253294219e-090.999999999458524
1023.04425543818587e-106.08851087637175e-100.999999999695574
1032.4782901242229e-104.9565802484458e-100.999999999752171
1041.35818936845109e-102.71637873690218e-100.999999999864181
1051.37584399935374e-102.75168799870749e-100.999999999862416
1068.59874876211991e-111.71974975242398e-100.999999999914013
1075.1643161259386e-111.03286322518772e-100.999999999948357
1083.06590123676197e-116.13180247352395e-110.99999999996934
1091.88241363400628e-113.76482726801256e-110.999999999981176
1101.12019002511986e-112.24038005023971e-110.999999999988798
1117.36056272457522e-101.47211254491504e-090.999999999263944
1127.24075040485156e-101.44815008097031e-090.999999999275925
1137.45026257188177e-081.49005251437635e-070.999999925497374
1140.05541553471334510.1108310694266900.944584465286655
1150.5364233019423360.9271533961153280.463576698057664
1160.7875478509325050.424904298134990.212452149067495
1170.7796290737681910.4407418524636180.220370926231809
1180.8014341824289010.3971316351421980.198565817571099
1190.7937186174649240.4125627650701520.206281382535076
1200.7808217414818450.4383565170363090.219178258518155
1210.766699623768570.4666007524628590.233300376231429
1220.7540077370188890.4919845259622220.245992262981111
1230.7330802417862140.5338395164275730.266919758213786
1240.7122219240989110.5755561518021770.287778075901089
1250.6877259638412010.6245480723175970.312274036158799
1260.6645081152829970.6709837694340060.335491884717003
1270.6409021785602140.7181956428795720.359097821439786
1280.6174116818643570.7651766362712860.382588318135643
1290.5889579221807750.8220841556384490.411042077819225
1300.566245850756870.867508298486260.43375414924313
1310.5638005331733140.8723989336533730.436199466826686
1320.547311267313520.905377465372960.45268873268648
1330.522630294855940.9547394102881210.477369705144060
1340.4984627097744420.9969254195488840.501537290225558
1350.4744810404352720.9489620808705440.525518959564728
1360.4452757204753830.8905514409507670.554724279524617
1370.4235338476286930.8470676952573860.576466152371307
1380.3952909219880660.7905818439761310.604709078011934
1390.3708983062430150.7417966124860290.629101693756985
1400.3677157530080210.7354315060160420.632284246991979
1410.3438152007851420.6876304015702840.656184799214858
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1490.2508665699322430.5017331398644870.749133430067757
1500.2528364344556690.5056728689113390.74716356554433
1510.2508619466335230.5017238932670450.749138053366477
1520.2834217753628640.5668435507257270.716578224637136
1530.4655944596849430.9311889193698870.534405540315057
1540.4978454177993440.9956908355986880.502154582200656
1550.5288026340945940.9423947318108120.471197365905406
1560.5099241199624390.9801517600751220.490075880037561
1570.4892659601531520.9785319203063040.510734039846848
1580.4714300604782860.942860120956570.528569939521714
1590.4431016700282480.8862033400564960.556898329971752
1600.4205812206800370.8411624413600740.579418779319963
1610.3990023604844960.7980047209689910.600997639515504
1620.3781101327839120.7562202655678240.621889867216088
1630.3574678788207660.7149357576415320.642532121179234
1640.3363932850210370.6727865700420750.663606714978963
1650.3186686382355720.6373372764711440.681331361764428
1660.3022864651891030.6045729303782060.697713534810897
1670.2853743041296040.5707486082592080.714625695870396
1680.2683662194280940.5367324388561890.731633780571906
1690.2512385672865090.5024771345730190.748761432713491
1700.2359147492896280.4718294985792560.764085250710372
1710.2155391599434810.4310783198869630.784460840056519
1720.1964694298857880.3929388597715760.803530570114212
1730.1872941821246130.3745883642492250.812705817875387
1740.1794983432873620.3589966865747240.820501656712638
1750.1618013663753050.3236027327506100.838198633624695
1760.1480624927286750.2961249854573510.851937507271325
1770.1340210882415170.2680421764830350.865978911758483
1780.1193389186791000.2386778373581990.8806610813209
1790.1056876238279180.2113752476558370.894312376172082
1800.09325825945329230.1865165189065850.906741740546708
1810.08437846545921040.1687569309184210.91562153454079
1820.07386283197780230.1477256639556050.926137168022198
1830.06561575508528460.1312315101705690.934384244914715
1840.05896315295852260.1179263059170450.941036847041477
1850.05296952942539430.1059390588507890.947030470574606
1860.05292990560367960.1058598112073590.94707009439632
1870.05159874026386680.1031974805277340.948401259736133
1880.06198249630766130.1239649926153230.93801750369234
1890.05419346215935270.1083869243187050.945806537840647
1900.06350326063962240.1270065212792450.936496739360378
1910.05811809599992480.1162361919998500.941881904000075
1920.05071795486212360.1014359097242470.949282045137876
1930.04545221066042340.09090442132084680.954547789339577
1940.04125983648673680.08251967297347350.958740163513263
1950.03579667003225510.07159334006451020.964203329967745
1960.03161142714447510.06322285428895030.968388572855525
1970.02828140771820740.05656281543641470.971718592281793
1980.02417455776146370.04834911552292730.975825442238536
1990.02115347944706880.04230695889413760.978846520552931
2000.02141254159890730.04282508319781470.978587458401093
2010.02023788936660390.04047577873320790.979762110633396
2020.01973622330116520.03947244660233030.980263776698835
2030.01927808468328220.03855616936656440.980721915316718
2040.01856732291545670.03713464583091340.981432677084543
2050.01649810190946750.03299620381893490.983501898090533
2060.01594242413443880.03188484826887760.984057575865561
2070.01539827401172860.03079654802345710.984601725988271
2080.01433758290774750.02867516581549510.985662417092253
2090.01216813911355870.02433627822711750.987831860886441
2100.01020224014337450.02040448028674900.989797759856625
2110.0085819036950880.0171638073901760.991418096304912
2120.00721951423914690.01443902847829380.992780485760853
2130.005935394991385830.01187078998277170.994064605008614
2140.004857280430470480.009714560860940950.99514271956953
2150.003956889900846600.007913779801693190.996043110099153
2160.003250732891042610.006501465782085220.996749267108957
2170.002623990622066980.005247981244133960.997376009377933
2180.002268645584701620.004537291169403250.997731354415298
2190.001918567548041170.003837135096082340.99808143245196
2200.001541219343485320.003082438686970640.998458780656515
2210.001377353909815170.002754707819630340.998622646090185
2220.001140832961536550.00228166592307310.998859167038463
2230.0009062064333287850.001812412866657570.999093793566671
2240.0007564473850504570.001512894770100910.99924355261495
2250.0007458736957978290.001491747391595660.999254126304202
2260.0007141789481549860.001428357896309970.999285821051845
2270.0006825969320038560.001365193864007710.999317403067996
2280.001025696627619780.002051393255239570.99897430337238
2290.0008371815549991790.001674363109998360.999162818445
2300.0007027261384391070.001405452276878210.99929727386156
2310.0005779794442855510.001155958888571100.999422020555714
2320.0004838227042870170.0009676454085740350.999516177295713
2330.000406337394908770.000812674789817540.999593662605091
2340.0003514075076786890.0007028150153573790.999648592492321
2350.0002940221124612280.0005880442249224550.999705977887539
2360.0002483280627471730.0004966561254943450.999751671937253
2370.000218683949528770.000437367899057540.999781316050471
2380.0001940512032931030.0003881024065862060.999805948796707
2390.0001494454583011920.0002988909166023840.9998505545417
2400.0001182776107102660.0002365552214205320.99988172238929
2418.96975817678756e-050.0001793951635357510.999910302418232
2426.90016997999295e-050.0001380033995998590.9999309983002
2435.30898124736003e-050.0001061796249472010.999946910187526
2443.97209487202782e-057.94418974405564e-050.99996027905128
2453.18830221747848e-056.37660443495696e-050.999968116977825
2460.002265462902220740.004530925804441470.99773453709778
2470.003421372852351950.00684274570470390.996578627147648
2480.05496936295378820.1099387259075760.945030637046212
2490.1030390205731430.2060780411462860.896960979426857
2500.1061001928637900.2122003857275810.89389980713621
2510.1279743754722030.2559487509444050.872025624527797
2520.1230747646647220.2461495293294430.876925235335278
2530.1372938582149220.2745877164298440.862706141785078
2540.12632674518840.25265349037680.8736732548116
2550.1162264612204480.2324529224408960.883773538779552
2560.1063359900069000.2126719800137990.8936640099931
2570.09550873861280010.1910174772256000.9044912613872
2580.0879859858120790.1759719716241580.912014014187921
2590.08243883787115740.1648776757423150.917561162128843
2600.07281351960434660.1456270392086930.927186480395653
2610.06367136981728140.1273427396345630.936328630182719
2620.05531893591180570.1106378718236110.944681064088194
2630.0482737153464650.096547430692930.951726284653535
2640.04156922387521350.0831384477504270.958430776124787
2650.03593465031098570.07186930062197140.964065349689014
2660.03109063444402190.06218126888804380.968909365555978
2670.02694701824877280.05389403649754570.973052981751227
2680.02293280715502390.04586561431004780.977067192844976
2690.01948837287561840.03897674575123680.980511627124382
2700.01656131819936350.03312263639872710.983438681800636
2710.01382158964476110.02764317928952230.98617841035524
2720.01156986117686990.02313972235373970.98843013882313
2730.009601201278759680.01920240255751940.99039879872124
2740.00796244192240150.0159248838448030.992037558077599
2750.007512444668085740.01502488933617150.992487555331914
2760.007838881196173080.01567776239234620.992161118803827
2770.00768530233315530.01537060466631060.992314697666845
2780.006376080030859360.01275216006171870.99362391996914
2790.005282910035714650.01056582007142930.994717089964285
2800.004299503118958050.00859900623791610.995700496881042
2810.003467568854613070.006935137709226140.996532431145387
2820.002857970530424240.005715941060848470.997142029469576
2830.00228799414982660.00457598829965320.997712005850173
2840.003841158076051220.007682316152102450.99615884192395
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3510.6473735521756570.7052528956486870.352626447824343
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3540.6354571190042160.7290857619915680.364542880995784
3550.6019631255404560.7960737489190880.398036874459544
3560.6023991929449910.7952016141100190.397600807055009
3570.6300596832192290.7398806335615430.369940316780771
3580.7423376864354170.5153246271291660.257662313564583
3590.999999999930261.39480228000936e-106.9740114000468e-11
3600.9999999999997684.64857230576134e-132.32428615288067e-13
36119.07019384983164e-194.53509692491582e-19
36212.79765674272994e-181.39882837136497e-18
36318.56370640203937e-184.28185320101968e-18
36412.55706735593457e-171.27853367796729e-17
36517.74920046048732e-173.87460023024366e-17
36611.97753785918482e-169.88768929592411e-17
36715.90919388702874e-162.95459694351437e-16
36811.74514102060455e-158.72570510302274e-16
3690.9999999999999984.99134502863829e-152.49567251431915e-15
3700.9999999999999931.41169478634429e-147.05847393172145e-15
3710.999999999999984.03855943718911e-142.01927971859456e-14
3720.9999999999999666.81810787529591e-143.40905393764796e-14
3730.9999999999999181.63583021985131e-138.17915109925655e-14
3740.9999999999997774.45674723475491e-132.22837361737745e-13
3750.9999999999994351.13036810018707e-125.65184050093535e-13
3760.9999999999984533.09472957624582e-121.54736478812291e-12
3770.999999999996886.24184914385749e-123.12092457192874e-12
3780.9999999999962577.48561876030413e-123.74280938015207e-12
3790.9999999999901281.97438145160336e-119.87190725801681e-12
3800.9999999999742355.15291130290041e-112.57645565145021e-11
3810.9999999999486591.02682159877618e-105.1341079938809e-11
3820.9999999999056651.88669022818661e-109.43345114093307e-11
3830.999999999800023.99959432608701e-101.99979716304351e-10
3840.9999999997767234.46554039409323e-102.23277019704662e-10
3850.9999999994404971.1190069083512e-095.595034541756e-10
3860.9999999988798282.24034384047313e-091.12017192023657e-09
3870.99999999810513.78980206540988e-091.89490103270494e-09
3880.9999999966723136.65537348422925e-093.32768674211463e-09
3890.9999999990783281.84334308458940e-099.21671542294701e-10
3900.9999999999999271.46979887273474e-137.34899436367369e-14
39113.11591977005588e-181.55795988502794e-18
39219.63258044683543e-224.81629022341772e-22
39318.52375039383287e-214.26187519691643e-21
39416.61532393641525e-203.30766196820763e-20
39515.43551191378426e-192.71775595689213e-19
39614.60566666279695e-182.30283333139847e-18
39711.14410550680062e-185.72052753400309e-19
39812.34702658097632e-211.17351329048816e-21
39915.56366354014403e-282.78183177007201e-28
40011.72177410102724e-268.60887050513621e-27
40115.24089033306712e-252.62044516653356e-25
40211.41887773703844e-237.09438868519222e-24
40313.90628458048749e-221.95314229024374e-22
40419.814741286439e-214.9073706432195e-21
40512.69113671351351e-191.34556835675676e-19
40617.05474174124867e-183.52737087062434e-18
40711.41434361398490e-167.07171806992452e-17
4080.9999999999999983.37365058632937e-151.68682529316468e-15
4090.999999999999967.94600345563314e-143.97300172781657e-14
4100.999999999999221.56002596110064e-127.80012980550319e-13
4110.9999999999829873.40250535672922e-111.70125267836461e-11
4120.9999999998151533.6969421884029e-101.84847109420145e-10
4130.9999999965033636.9932735878007e-093.49663679390035e-09
4140.9999999287180131.42563974015312e-077.12819870076562e-08
4150.9999992095604011.58087919789973e-067.90439598949866e-07
4160.999982843589243.43128215193214e-051.71564107596607e-05
4170.999719806825720.0005603863485600840.000280193174280042






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1990.492574257425743NOK
5% type I error level2270.561881188118812NOK
10% type I error level2410.596534653465347NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 199 & 0.492574257425743 & NOK \tabularnewline
5% type I error level & 227 & 0.561881188118812 & NOK \tabularnewline
10% type I error level & 241 & 0.596534653465347 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104690&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]199[/C][C]0.492574257425743[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]227[/C][C]0.561881188118812[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]241[/C][C]0.596534653465347[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104690&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104690&T=6

As an alternative you can also use a QR Code:  
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The GUIDs for individual cells are displayed in the table below:

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1990.492574257425743NOK
5% type I error level2270.561881188118812NOK
10% type I error level2410.596534653465347NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 11 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 11 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}