Free Statistics

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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 12:49:57 +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/t12913805634wnmtraziyml47b.htm/, Retrieved Tue, 23 Apr 2024 13:31:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=104710, Retrieved Tue, 23 Apr 2024 13:31:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140
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 12:49:57] [87bb5e10c18d96bd329dff2d857096c8] [Current]
-   PD        [Multiple Regression] [zonder orders, zo...] [2010-12-03 13:02:03] [916599f00c9c716123aa8433d9efa14f]
-               [Multiple Regression] [Zonder lineair, m...] [2010-12-03 19:20:38] [75b8170d590d2aca2c97c1862bb2167f]
-             [Multiple Regression] [Juiste met dummie...] [2010-12-03 19:18:29] [75b8170d590d2aca2c97c1862bb2167f]
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Dataseries X:
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




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time37 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 & 37 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=104710&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]37 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=104710&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104710&T=0

As an alternative you can also use a 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 time37 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] = + 115876.867770394 -0.196791064768874Rank[t] + 0.0088361498216446group[t] -0.270862558545223Costs[t] -0.139237133115806Trades[t] -0.0754360553532818Orders[t] -0.341807012010589Dividends[t] -0.122373231272038Wealth[t] -0.212536089750411WRank[t] -0.0703682133142447`Profit/Trades`[t] -0.00479391593631427`Profit/Cost`[t] -15.8919679785876t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
CCScore
[t] =  +  115876.867770394 -0.196791064768874Rank[t] +  0.0088361498216446group[t] -0.270862558545223Costs[t] -0.139237133115806Trades[t] -0.0754360553532818Orders[t] -0.341807012010589Dividends[t] -0.122373231272038Wealth[t] -0.212536089750411WRank[t] -0.0703682133142447`Profit/Trades`[t] -0.00479391593631427`Profit/Cost`[t] -15.8919679785876t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104710&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]CCScore
[t] =  +  115876.867770394 -0.196791064768874Rank[t] +  0.0088361498216446group[t] -0.270862558545223Costs[t] -0.139237133115806Trades[t] -0.0754360553532818Orders[t] -0.341807012010589Dividends[t] -0.122373231272038Wealth[t] -0.212536089750411WRank[t] -0.0703682133142447`Profit/Trades`[t] -0.00479391593631427`Profit/Cost`[t] -15.8919679785876t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104710&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104710&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
CCScore [t] = + 115876.867770394 -0.196791064768874Rank[t] + 0.0088361498216446group[t] -0.270862558545223Costs[t] -0.139237133115806Trades[t] -0.0754360553532818Orders[t] -0.341807012010589Dividends[t] -0.122373231272038Wealth[t] -0.212536089750411WRank[t] -0.0703682133142447`Profit/Trades`[t] -0.00479391593631427`Profit/Cost`[t] -15.8919679785876t + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)115876.86777039415618.2553597.419300
Rank-0.1967910647688740.071301-2.760.0060340.003017
group0.00883614982164460.0603190.14650.8836040.441802
Costs-0.2708625585452230.06387-4.24082.7e-051.4e-05
Trades-0.1392371331158060.040859-3.40780.0007180.000359
Orders-0.07543605535328180.029027-2.59880.0096850.004843
Dividends-0.3418070120105890.076533-4.46611e-055e-06
Wealth-0.1223732312720380.041417-2.95460.0033070.001653
WRank-0.2125360897504110.054432-3.90460.000115.5e-05
`Profit/Trades`-0.07036821331424470.026708-2.63480.0087320.004366
`Profit/Cost`-0.004793915936314270.019732-0.24290.8081630.404082
t-15.891967978587653.40236-0.29760.7661640.383082

\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) & 115876.867770394 & 15618.255359 & 7.4193 & 0 & 0 \tabularnewline
Rank & -0.196791064768874 & 0.071301 & -2.76 & 0.006034 & 0.003017 \tabularnewline
group & 0.0088361498216446 & 0.060319 & 0.1465 & 0.883604 & 0.441802 \tabularnewline
Costs & -0.270862558545223 & 0.06387 & -4.2408 & 2.7e-05 & 1.4e-05 \tabularnewline
Trades & -0.139237133115806 & 0.040859 & -3.4078 & 0.000718 & 0.000359 \tabularnewline
Orders & -0.0754360553532818 & 0.029027 & -2.5988 & 0.009685 & 0.004843 \tabularnewline
Dividends & -0.341807012010589 & 0.076533 & -4.4661 & 1e-05 & 5e-06 \tabularnewline
Wealth & -0.122373231272038 & 0.041417 & -2.9546 & 0.003307 & 0.001653 \tabularnewline
WRank & -0.212536089750411 & 0.054432 & -3.9046 & 0.00011 & 5.5e-05 \tabularnewline
`Profit/Trades` & -0.0703682133142447 & 0.026708 & -2.6348 & 0.008732 & 0.004366 \tabularnewline
`Profit/Cost` & -0.00479391593631427 & 0.019732 & -0.2429 & 0.808163 & 0.404082 \tabularnewline
t & -15.8919679785876 & 53.40236 & -0.2976 & 0.766164 & 0.383082 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104710&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]115876.867770394[/C][C]15618.255359[/C][C]7.4193[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Rank[/C][C]-0.196791064768874[/C][C]0.071301[/C][C]-2.76[/C][C]0.006034[/C][C]0.003017[/C][/ROW]
[ROW][C]group[/C][C]0.0088361498216446[/C][C]0.060319[/C][C]0.1465[/C][C]0.883604[/C][C]0.441802[/C][/ROW]
[ROW][C]Costs[/C][C]-0.270862558545223[/C][C]0.06387[/C][C]-4.2408[/C][C]2.7e-05[/C][C]1.4e-05[/C][/ROW]
[ROW][C]Trades[/C][C]-0.139237133115806[/C][C]0.040859[/C][C]-3.4078[/C][C]0.000718[/C][C]0.000359[/C][/ROW]
[ROW][C]Orders[/C][C]-0.0754360553532818[/C][C]0.029027[/C][C]-2.5988[/C][C]0.009685[/C][C]0.004843[/C][/ROW]
[ROW][C]Dividends[/C][C]-0.341807012010589[/C][C]0.076533[/C][C]-4.4661[/C][C]1e-05[/C][C]5e-06[/C][/ROW]
[ROW][C]Wealth[/C][C]-0.122373231272038[/C][C]0.041417[/C][C]-2.9546[/C][C]0.003307[/C][C]0.001653[/C][/ROW]
[ROW][C]WRank[/C][C]-0.212536089750411[/C][C]0.054432[/C][C]-3.9046[/C][C]0.00011[/C][C]5.5e-05[/C][/ROW]
[ROW][C]`Profit/Trades`[/C][C]-0.0703682133142447[/C][C]0.026708[/C][C]-2.6348[/C][C]0.008732[/C][C]0.004366[/C][/ROW]
[ROW][C]`Profit/Cost`[/C][C]-0.00479391593631427[/C][C]0.019732[/C][C]-0.2429[/C][C]0.808163[/C][C]0.404082[/C][/ROW]
[ROW][C]t[/C][C]-15.8919679785876[/C][C]53.40236[/C][C]-0.2976[/C][C]0.766164[/C][C]0.383082[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104710&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104710&T=2

As an alternative you can also use a 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)115876.86777039415618.2553597.419300
Rank-0.1967910647688740.071301-2.760.0060340.003017
group0.00883614982164460.0603190.14650.8836040.441802
Costs-0.2708625585452230.06387-4.24082.7e-051.4e-05
Trades-0.1392371331158060.040859-3.40780.0007180.000359
Orders-0.07543605535328180.029027-2.59880.0096850.004843
Dividends-0.3418070120105890.076533-4.46611e-055e-06
Wealth-0.1223732312720380.041417-2.95460.0033070.001653
WRank-0.2125360897504110.054432-3.90460.000115.5e-05
`Profit/Trades`-0.07036821331424470.026708-2.63480.0087320.004366
`Profit/Cost`-0.004793915936314270.019732-0.24290.8081630.404082
t-15.891967978587653.40236-0.29760.7661640.383082







Multiple Linear Regression - Regression Statistics
Multiple R0.363825191842531
R-squared0.132368770219255
Adjusted R-squared0.109590862038853
F-TEST (value)5.81127859375373
F-TEST (DF numerator)11
F-TEST (DF denominator)419
p-value8.79713768497936e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation128914.789735116
Sum Squared Residuals6963370642216.22

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.363825191842531 \tabularnewline
R-squared & 0.132368770219255 \tabularnewline
Adjusted R-squared & 0.109590862038853 \tabularnewline
F-TEST (value) & 5.81127859375373 \tabularnewline
F-TEST (DF numerator) & 11 \tabularnewline
F-TEST (DF denominator) & 419 \tabularnewline
p-value & 8.79713768497936e-09 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 128914.789735116 \tabularnewline
Sum Squared Residuals & 6963370642216.22 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104710&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.363825191842531[/C][/ROW]
[ROW][C]R-squared[/C][C]0.132368770219255[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.109590862038853[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]5.81127859375373[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]11[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]419[/C][/ROW]
[ROW][C]p-value[/C][C]8.79713768497936e-09[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]128914.789735116[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]6963370642216.22[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104710&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104710&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.363825191842531
R-squared0.132368770219255
Adjusted R-squared0.109590862038853
F-TEST (value)5.81127859375373
F-TEST (DF numerator)11
F-TEST (DF denominator)419
p-value8.79713768497936e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation128914.789735116
Sum Squared Residuals6963370642216.22







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1054995.3445273777-54995.3445273777
23921237.1704271369-21198.1704271369
3054361.8008520723-54361.8008520723
4041340.2881268703-41340.2881268703
530531416.0697385782-31111.0697385782
6-958095.5190680774-58104.5190680774
7-158645.531610534-58646.531610534
8055433.4298764532-55433.4298764532
9050809.4838842251-50809.4838842251
10056952.1125662733-56952.1125662733
113331921.8324807562-31888.8324807562
123228032.4675878407-28000.4675878407
13156248.8062904308-56247.8062904308
14180418.2117551791-80417.2117551791
15182187.8743297468-82186.8743297468
16183456.4056768652-83455.4056768652
17182174.397141702-82173.397141702
18182302.6722459649-82301.6722459649
19181616.2292392083-81615.2292392083
20181432.2314023345-81431.2314023345
213583179.4596558027-83144.4596558027
22034671.7689111159-34671.7689111159
2312117330145.803987424491027.1960125756
245753028299.045584473729230.9544155263
256204135610.351154263626430.6488457364
266072046959.388226689413760.6117733106
2713699648544.555824684688451.4441753154
286072030312.726492673930407.2735073261
2911545620.1796550427-45505.1796550427
30387105968.793336408-105581.793336408
31219108988.901920017-108769.901920017
3243037517.9399011762-37087.9399011762
33288-14754.717788037315042.7177880373
342226710.5698491453-26688.5698491453
351841915.4319069036-41897.4319069036
361245840796.2576020225-28338.2576020225
373250213.0440337195-50181.0440337195
3829-203705.991807107203734.991807107
394212993.7730133385-12951.7730133385
4084410029.9914935254-9185.99149352544
4124228128.8021560709-27886.8021560709
4212319231.0798477007-19108.0798477007
4318440714.4922446457-40530.4922446457
444017623.59330980641-7222.59330980641
453711380.38656393885-1009.38656393885
462032718.33062326244-2515.33062326244
47368950987.4885821997-47298.4885821997
4856732545.2292487221-31978.2292487221
492766427491.3536764948172.646323505171
5016862484.74723157612-798.747231576123
51116443699.3696596906-42535.3696596906
521582460521.6633475101-44697.6633475101
53657514051.1303930229-7476.13039302294
5437597-77236.8602888879114833.860288888
55314-34745.605748947835059.6057489478
56193246666.1558153907-44734.1558153907
57569259893.0256725882-54201.0256725882
58047008.0188275387-47008.0188275387
59054520.8562799439-54520.8562799439
60364839104280.066431302260558.933568698
61230621114477.920964874116143.079035126
62315877114502.7897554201374.2102446
63125390112988.24948978312401.7505102167
64314882114459.195882190200422.804117810
65370837112802.415722361258034.584277639
66330068114374.711048617215693.288951383
67324385114183.450755006210201.549244994
68315380114714.525236685200665.474763315
69114091696.68543477369712.3145652264
70111579190.7075564648-78075.7075564648
7113337-209102.632699500222439.632699500
72079793.1109792119-79793.1109792119
73048398.5437031699-48398.5437031699
74054175.1783557951-54175.1783557951
75052006.0262942358-52006.0262942358
76054572.9907826869-54572.9907826869
7723875040.0244625713-74802.0244625713
783040-126427.873289370129467.873289370
79051078.5558226043-51078.5558226043
80155177.4680416861-55176.4680416861
813782236.2986768097-82199.2986768097
82019104.9264677979-19104.9264677979
836072029574.357311109631145.6426888904
8430846641.5511858394-46333.5511858394
85296105501.266105793-105205.266105793
8635797392.6094658601-97035.6094658601
87110106962.574797885-106852.574797885
88245105666.244889735-105421.244889735
8946944795.1787782459-44326.1787782459
9034-147349.797788609147383.797788609
91-3575287.769488629-75322.769488629
9246337502.8568873603-37039.8568873603
9395435276.7983487529-34322.7983487529
9422639909.2806181362-39683.2806181362
952761079.23314361230-803.233143612305
96383-648.6261705817441031.62617058174
979315074.4671323019-14981.4671323019
98302-45706.591355142246008.5913551422
99385-3888.647981975314273.64798197531
100225-597.00003142142822.00003142142
101275-10901.478920026511176.4789200265
102180731811.0300250274016261.9699749726
1031866108238.004884997-106372.004884997
1044263452648.5271767049-10014.5271767049
105249-159094.675873069159343.675873069
10642258109.3529249701-57687.3529249701
107267552702.2753352425-50027.2753352425
10896547983.6523611754-47018.6523611754
109065244.2755239313-65244.2755239313
1101153658.6782150813-53647.6782150813
1110102427.463736015-102427.463736015
112309560104540.161380234205019.838619766
113414462113205.275532767301256.724467233
114857217112070.187211443745146.812788557
115697458112779.549048522584678.450951478
116530670113101.736122238417568.263877762
117238125113330.803588147124794.196411853
118315380113609.737606242201770.262393758
1191203144080.1889997557-32049.1889997557
120371865771.1130172597-62053.1130172597
121191869947.2317816937-68029.2317816937
122078765.269230359-78765.269230359
123049594.3094825517-49594.3094825517
124154420.9528922136-54419.9528922136
125061639.4809139404-61639.4809139404
126178041.7245743982-78040.7245743982
127077891.9741403795-77891.9741403795
128081447.2430629768-81447.2430629768
1296072028798.400219835831921.5997801642
13031245912.6583638626-45600.6583638626
131346100448.751787978-100102.751787978
132077952.2719017498-77952.2719017498
133052179.8820692381-52179.8820692381
134154289.5189413885-54288.5189413885
13522681363.1022572601-81137.1022572601
13658-21548.851326430121606.8513264301
137059108.511725481-59108.511725481
1386072028695.797554659032024.2024453410
13911445512.2065918589-45398.2065918589
140283105960.228778117-105677.228778117
14120137584.0510530613-37383.0510530613
14210928042.8368811451-27933.8368811451
1436943093.5240500681-43024.5240500681
14426739111.6382232016-38844.6382232016
1456111130.08724944828-519.087249448276
146051971.70167699-51971.70167699
147653051.7210422687-53045.7210422687
1481102623.549036291-102622.549036291
14913100261.277435596-100248.277435596
15014100421.82669718-100407.82669718
1510103878.255590640-103878.255590640
152314210103908.257602728210301.742397272
153480382112923.353288844367458.646711156
154315009113119.485475907201889.514524093
155315380113067.860322747202312.139677253
1561026279257.1594576716-68995.1594576716
1571525476930.3511937737-61676.3511937737
158077709.6647862342-77709.6647862342
1591633469.23119135861-3306.23119135861
160153852.6801073651-53851.680107365
161180512.69101292-80511.69101292
162177815.6351366532-77814.6351366532
163179534.9471173698-79533.9471173698
164063027.0567330077-63027.0567330077
165058735.0639308562-58735.0639308562
166185634.0316660443-85633.0316660443
167082346.1988730218-82346.1988730218
168179687.2280206702-79686.2280206702
169173120.2750342923-73119.2750342923
1701480809.3433919438-80795.3433919438
1711727141.9345711305-27124.9345711305
172030896.2830095608-30896.2830095608
17312192027142.313091531494777.6869084686
17410396019769.387353474784190.6126465253
1756072040249.818442870220470.1815571298
17621345211.1344474707-44998.1344474707
17730638586.1241374556-38280.1241374556
178172-6525.318937110156697.31893711015
179402-4631.98332660475033.9833266047
1804-8998.85612809669002.8561280966
18115639124.110241253-38968.110241253
1823556.034305980066-553.034305980066
18352937994.9243373012-37465.9243373012
184050667.8821993167-50667.8821993167
185552509.3544151479-52504.3544151479
18619101059.907924882-101040.907924882
1870101259.068136552-101259.068136552
188308636102872.159075214205763.840924786
189158492112133.12858959246358.8714104075
190315380112461.703325369202918.296674631
191077601.5747230808-77601.5747230808
192446-8079.574255114858525.57425511485
193053347.7364282786-53347.7364282786
1942780435.5430244547-80408.5430244547
195029860.7987230577-29860.7987230577
1968859027317.209054979661272.7909450204
1978290321781.841860736161121.1581392639
1986072036951.792990419623768.2070095804
1999942669.9662313218-42570.9662313218
200310106042.803319187-105732.803319187
2011792509.553201055-92492.553201055
202416104687.498802380-104271.498802380
203295106577.3758093-106282.3758093
204342103006.334256614-102664.334256614
2052191684.3636346288-91663.3636346288
206423104406.963572481-103983.963572481
207160106714.548506078-106554.548506078
20820795437.8527379846-95230.8527379846
2099233483.8448118799-33391.8448118799
2109813821.7358953218-13723.7358953218
211261338360.5657839942-35747.5657839942
21233738035.5856544909-37698.5856544909
2133416340.93014920164-5999.93014920164
2141545268.90474002298-5114.90474002298
215364310.3444518111-4274.3444518111
216192-24616.112147085024808.1121470850
217712325.43533708548977097.56466291451
218622-56178.58438542256800.584385422
21917449664.9736408726-49490.9736408726
220222015195.9962770200-12975.9962770200
221121-66032.541065053266153.5410650532
2221181954515.7739212058-42696.7739212058
22302033.32797639425-2033.32797639425
2241951897.3615181402-51878.3615181402
22511101509.369713471-101498.369713471
2263599742.1637302754-99707.1637302754
2270103623.364143014-103623.364143014
228315380102697.760793240212682.239206760
2292952576535.1539349653-47010.1539349653
230752363543.4824678477-56020.4824678477
2311143172351.0507593306-60920.0507593306
232076978.7688114974-76978.7688114974
233052597.4042636716-52597.4042636716
234-362713.5362674058-62716.5362674058
235-849059.9822526915-49067.9822526915
236152673.2680937968-52672.2680937968
237178438.160374161-78437.160374161
238279712.9625644162-79710.9625644162
239021864.3364112835-21864.3364112835
2407878026903.090547352751876.9094526473
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24227044134.1785582156-43864.1785582156
24333337537.3334552319-37204.3334552319
2440-439.302457869988439.302457869988
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247345783109797.048477211235985.951522789
248652925111212.633618857541712.366381143
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253315380111465.959549914203914.040450086
254571477761.7005439832-72047.7005439832
255076626.0216724187-76626.0216724187
256046173.1709267453-46173.1709267453
257044392.252861646-44392.252861646
258152329.1655542394-52328.1655542394
2596179355.7082769467-79294.7082769467
260328296.8991267528-28293.8991267528
2619721977.0170091848-21880.0170091848
262272028.92416555279-2001.92416555279
263130083.7814098911-30082.7814098911
2641417166.2650294767-17152.2650294767
2651328929.3736575919-28916.3736575919
266734675.0974703849-34668.0974703849
267540055.333091481-40050.333091481
2682425742.1338189501-25718.1338189501
269028177.2236766189-28177.2236766189
2706391526521.712553744437393.2874462556
2716071949668.190971143311050.8090288567
2725950032436.28699700827063.713002992
2736072040602.803108926120117.1968910739
2745642375.9799320116-42319.9799320116
27518101156.452848418-101138.452848418
276431105710.967943996-105279.967943996
277250106464.967718338-106214.967718338
27816435551.6214528943-35387.6214528943
27940536965.1802013986-36560.1802013986
2801769543.51901428056-9367.51901428056
281236-3587.350883245313823.35088324531
282142-29266.433605346829408.4336053468
28318014-1028.1655852142619042.1655852143
2840-85829.067257753685829.0672577536
285050928.8252495405-50928.8252495405
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287318574110681.806380394207892.193619606
288310768110317.533253556200450.466746444
289312887110897.798807418201989.201192582
290312339110857.456674661201481.543325339
291314964110961.431273642204002.568726358
292379983109780.967927722270202.032072278
293315380110884.955186572204495.044813428
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296151730.5863519941-51729.5863519941
297079822.3298095513-79822.3298095513
298177023.6468718039-77022.6468718039
299170808.2186513786-70807.2186513786
300177417.5102360337-77416.5102360337
301087318.5611822435-87318.5611822435
3021-240095.011724735240096.011724735
303079498.9525893153-79498.9525893153
304278626.845926178-78624.845926178
305840855.7819434219-40847.7819434219
3061222223.1014461641-22211.1014461641
3076622383.9627402394-22317.9627402394
3080-9499.585988498989499.58598849898
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3106072037444.887140456123275.1128595439
3119637076.4365116033-36980.4365116033
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31341476202.6674833389-75788.6674833389
314388102139.220669138-101751.220669138
315409102857.056235081-102448.056235081
316184104868.91111722-104684.91111722
3173936364.5575314054-36325.5575314054
318101-92815.627344505692916.6273445056
319256-792.2093699324761048.20936993248
3201585-1626.116415965413211.11641596541
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322028958.8206018263-28958.8206018263
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3400-1954.684276518111954.68427651811
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3431581443.188913896-81428.188913896
34411104289.015784370-104278.015784370
34512100783.452922872-100771.452922872
346894930.2843869229-94922.2843869229
34712299428.5119795813-99306.5119795813
348113107907.222729216-107794.222729216
3496100904.910771332-100898.910771332
350098291.1901524818-98291.1901524818
351215362100055.977367733115306.022632267
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353298096109838.753502649188257.246497351
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360307322109694.914866495197627.085133505
361315380110055.009772176205324.990227824
362302467734.7510302215-64710.7510302215
3631835775522.5179679701-57165.5179679701
364235375964.484038727-73611.484038727
365865273319.9490557237-64667.9490557237
3663861174793.9148049147-36182.9148049147
367950575263.9256278603-65758.9256278603
368410870424.3150937017-66316.3150937017
369074830.363700141-74830.363700141
370050570.3366908334-50570.3366908334
371077604.33791391-77604.33791391
3726072024970.089098654635749.9109013454
3739035072.0754055809-34982.0754055809
374168104123.891051111-103955.891051111
375208101307.826525832-101099.826525832
37622235424.7455122624-35202.7455122624
3770-2543.952032689442543.95203268944
378349431.7032815306-49428.7032815306
3791597900.9362439205-97885.9362439205
3805591006.8182115203-90951.8182115203
3818590177.2002734609-90092.2002734609
3821795671.1564724764-95654.1564724764
38327799701.4125456717-99424.4125456717
3841089126.6732676803-89116.6732676803
385498422.4377629795-98418.4377629795
386797223.2873515545-97216.2873515545
3872699472.4728602315-99446.4728602315
3884795707.4858527481-95660.4858527481
38920391631.0538866954-91428.0538866954
390586881.1698030895-86876.1698030895
391097801.574770726-97801.574770726
392315380100095.84884436215284.15115564
3931062078228.4058187004-67608.4058187004
394566972061.9053213598-66392.9053213598
3951058174522.396192864-63941.396192864
396253334126.6090952229-31593.6090952229
39782773894.3868899417-73067.3868899417
3985769474345.8218336052-16651.8218336052
399051162.917562566-51162.917562566
400048723.9114554973-48723.9114554973
4011451981.0805543261-51967.0805543261
4022854-219183.447027556222037.447027556
403050583.3759894606-50583.3759894606
404-1051391.1810206905-51401.1810206905
405-2894222.6278519589-94250.627851959
406149956.9667505418-49955.9667505418
407171635.2925638576-71634.2925638576
408169398.4978283298-69397.4978283298
4097276987.763750467-76915.763750467
4101724543.6575449279-24526.6575449279
4114722759.8263174007-22712.8263174007
4126-24054.1090563524060.10905635
4131121742.5719640953-21731.5719640953
4141055113.62384684911-5008.62384684911
4151729480.7032377041-29463.7032377041
416830566.4375805127-30558.4375805127
417829624.5057485055-29616.5057485055
4181422291.1134823493-22277.1134823493
419616657.0105616377-16651.0105616377
4205325794.1221003904-25741.1221003904
421632133.54925252655-2070.54925252655
4220-5380.294046502845380.29404650284
4236072023163.035851349037556.9641486510
4246180841706.410815977720101.5891840223
4256043845086.890513918915351.1094860811
4265859848311.192610564510286.8073894355
4275978143802.190771453715978.8092285463
4286094544495.731700316616449.2682996834
4296112443547.608107431817576.3918925682
4306072043772.440020496516947.5599795035
43136542007.0921715804-41642.0921715804

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 0 & 54995.3445273777 & -54995.3445273777 \tabularnewline
2 & 39 & 21237.1704271369 & -21198.1704271369 \tabularnewline
3 & 0 & 54361.8008520723 & -54361.8008520723 \tabularnewline
4 & 0 & 41340.2881268703 & -41340.2881268703 \tabularnewline
5 & 305 & 31416.0697385782 & -31111.0697385782 \tabularnewline
6 & -9 & 58095.5190680774 & -58104.5190680774 \tabularnewline
7 & -1 & 58645.531610534 & -58646.531610534 \tabularnewline
8 & 0 & 55433.4298764532 & -55433.4298764532 \tabularnewline
9 & 0 & 50809.4838842251 & -50809.4838842251 \tabularnewline
10 & 0 & 56952.1125662733 & -56952.1125662733 \tabularnewline
11 & 33 & 31921.8324807562 & -31888.8324807562 \tabularnewline
12 & 32 & 28032.4675878407 & -28000.4675878407 \tabularnewline
13 & 1 & 56248.8062904308 & -56247.8062904308 \tabularnewline
14 & 1 & 80418.2117551791 & -80417.2117551791 \tabularnewline
15 & 1 & 82187.8743297468 & -82186.8743297468 \tabularnewline
16 & 1 & 83456.4056768652 & -83455.4056768652 \tabularnewline
17 & 1 & 82174.397141702 & -82173.397141702 \tabularnewline
18 & 1 & 82302.6722459649 & -82301.6722459649 \tabularnewline
19 & 1 & 81616.2292392083 & -81615.2292392083 \tabularnewline
20 & 1 & 81432.2314023345 & -81431.2314023345 \tabularnewline
21 & 35 & 83179.4596558027 & -83144.4596558027 \tabularnewline
22 & 0 & 34671.7689111159 & -34671.7689111159 \tabularnewline
23 & 121173 & 30145.8039874244 & 91027.1960125756 \tabularnewline
24 & 57530 & 28299.0455844737 & 29230.9544155263 \tabularnewline
25 & 62041 & 35610.3511542636 & 26430.6488457364 \tabularnewline
26 & 60720 & 46959.3882266894 & 13760.6117733106 \tabularnewline
27 & 136996 & 48544.5558246846 & 88451.4441753154 \tabularnewline
28 & 60720 & 30312.7264926739 & 30407.2735073261 \tabularnewline
29 & 115 & 45620.1796550427 & -45505.1796550427 \tabularnewline
30 & 387 & 105968.793336408 & -105581.793336408 \tabularnewline
31 & 219 & 108988.901920017 & -108769.901920017 \tabularnewline
32 & 430 & 37517.9399011762 & -37087.9399011762 \tabularnewline
33 & 288 & -14754.7177880373 & 15042.7177880373 \tabularnewline
34 & 22 & 26710.5698491453 & -26688.5698491453 \tabularnewline
35 & 18 & 41915.4319069036 & -41897.4319069036 \tabularnewline
36 & 12458 & 40796.2576020225 & -28338.2576020225 \tabularnewline
37 & 32 & 50213.0440337195 & -50181.0440337195 \tabularnewline
38 & 29 & -203705.991807107 & 203734.991807107 \tabularnewline
39 & 42 & 12993.7730133385 & -12951.7730133385 \tabularnewline
40 & 844 & 10029.9914935254 & -9185.99149352544 \tabularnewline
41 & 242 & 28128.8021560709 & -27886.8021560709 \tabularnewline
42 & 123 & 19231.0798477007 & -19108.0798477007 \tabularnewline
43 & 184 & 40714.4922446457 & -40530.4922446457 \tabularnewline
44 & 401 & 7623.59330980641 & -7222.59330980641 \tabularnewline
45 & 371 & 1380.38656393885 & -1009.38656393885 \tabularnewline
46 & 203 & 2718.33062326244 & -2515.33062326244 \tabularnewline
47 & 3689 & 50987.4885821997 & -47298.4885821997 \tabularnewline
48 & 567 & 32545.2292487221 & -31978.2292487221 \tabularnewline
49 & 27664 & 27491.3536764948 & 172.646323505171 \tabularnewline
50 & 1686 & 2484.74723157612 & -798.747231576123 \tabularnewline
51 & 1164 & 43699.3696596906 & -42535.3696596906 \tabularnewline
52 & 15824 & 60521.6633475101 & -44697.6633475101 \tabularnewline
53 & 6575 & 14051.1303930229 & -7476.13039302294 \tabularnewline
54 & 37597 & -77236.8602888879 & 114833.860288888 \tabularnewline
55 & 314 & -34745.6057489478 & 35059.6057489478 \tabularnewline
56 & 1932 & 46666.1558153907 & -44734.1558153907 \tabularnewline
57 & 5692 & 59893.0256725882 & -54201.0256725882 \tabularnewline
58 & 0 & 47008.0188275387 & -47008.0188275387 \tabularnewline
59 & 0 & 54520.8562799439 & -54520.8562799439 \tabularnewline
60 & 364839 & 104280.066431302 & 260558.933568698 \tabularnewline
61 & 230621 & 114477.920964874 & 116143.079035126 \tabularnewline
62 & 315877 & 114502.7897554 & 201374.2102446 \tabularnewline
63 & 125390 & 112988.249489783 & 12401.7505102167 \tabularnewline
64 & 314882 & 114459.195882190 & 200422.804117810 \tabularnewline
65 & 370837 & 112802.415722361 & 258034.584277639 \tabularnewline
66 & 330068 & 114374.711048617 & 215693.288951383 \tabularnewline
67 & 324385 & 114183.450755006 & 210201.549244994 \tabularnewline
68 & 315380 & 114714.525236685 & 200665.474763315 \tabularnewline
69 & 11409 & 1696.6854347736 & 9712.3145652264 \tabularnewline
70 & 1115 & 79190.7075564648 & -78075.7075564648 \tabularnewline
71 & 13337 & -209102.632699500 & 222439.632699500 \tabularnewline
72 & 0 & 79793.1109792119 & -79793.1109792119 \tabularnewline
73 & 0 & 48398.5437031699 & -48398.5437031699 \tabularnewline
74 & 0 & 54175.1783557951 & -54175.1783557951 \tabularnewline
75 & 0 & 52006.0262942358 & -52006.0262942358 \tabularnewline
76 & 0 & 54572.9907826869 & -54572.9907826869 \tabularnewline
77 & 238 & 75040.0244625713 & -74802.0244625713 \tabularnewline
78 & 3040 & -126427.873289370 & 129467.873289370 \tabularnewline
79 & 0 & 51078.5558226043 & -51078.5558226043 \tabularnewline
80 & 1 & 55177.4680416861 & -55176.4680416861 \tabularnewline
81 & 37 & 82236.2986768097 & -82199.2986768097 \tabularnewline
82 & 0 & 19104.9264677979 & -19104.9264677979 \tabularnewline
83 & 60720 & 29574.3573111096 & 31145.6426888904 \tabularnewline
84 & 308 & 46641.5511858394 & -46333.5511858394 \tabularnewline
85 & 296 & 105501.266105793 & -105205.266105793 \tabularnewline
86 & 357 & 97392.6094658601 & -97035.6094658601 \tabularnewline
87 & 110 & 106962.574797885 & -106852.574797885 \tabularnewline
88 & 245 & 105666.244889735 & -105421.244889735 \tabularnewline
89 & 469 & 44795.1787782459 & -44326.1787782459 \tabularnewline
90 & 34 & -147349.797788609 & 147383.797788609 \tabularnewline
91 & -35 & 75287.769488629 & -75322.769488629 \tabularnewline
92 & 463 & 37502.8568873603 & -37039.8568873603 \tabularnewline
93 & 954 & 35276.7983487529 & -34322.7983487529 \tabularnewline
94 & 226 & 39909.2806181362 & -39683.2806181362 \tabularnewline
95 & 276 & 1079.23314361230 & -803.233143612305 \tabularnewline
96 & 383 & -648.626170581744 & 1031.62617058174 \tabularnewline
97 & 93 & 15074.4671323019 & -14981.4671323019 \tabularnewline
98 & 302 & -45706.5913551422 & 46008.5913551422 \tabularnewline
99 & 385 & -3888.64798197531 & 4273.64798197531 \tabularnewline
100 & 225 & -597.00003142142 & 822.00003142142 \tabularnewline
101 & 275 & -10901.4789200265 & 11176.4789200265 \tabularnewline
102 & 18073 & 1811.03002502740 & 16261.9699749726 \tabularnewline
103 & 1866 & 108238.004884997 & -106372.004884997 \tabularnewline
104 & 42634 & 52648.5271767049 & -10014.5271767049 \tabularnewline
105 & 249 & -159094.675873069 & 159343.675873069 \tabularnewline
106 & 422 & 58109.3529249701 & -57687.3529249701 \tabularnewline
107 & 2675 & 52702.2753352425 & -50027.2753352425 \tabularnewline
108 & 965 & 47983.6523611754 & -47018.6523611754 \tabularnewline
109 & 0 & 65244.2755239313 & -65244.2755239313 \tabularnewline
110 & 11 & 53658.6782150813 & -53647.6782150813 \tabularnewline
111 & 0 & 102427.463736015 & -102427.463736015 \tabularnewline
112 & 309560 & 104540.161380234 & 205019.838619766 \tabularnewline
113 & 414462 & 113205.275532767 & 301256.724467233 \tabularnewline
114 & 857217 & 112070.187211443 & 745146.812788557 \tabularnewline
115 & 697458 & 112779.549048522 & 584678.450951478 \tabularnewline
116 & 530670 & 113101.736122238 & 417568.263877762 \tabularnewline
117 & 238125 & 113330.803588147 & 124794.196411853 \tabularnewline
118 & 315380 & 113609.737606242 & 201770.262393758 \tabularnewline
119 & 12031 & 44080.1889997557 & -32049.1889997557 \tabularnewline
120 & 3718 & 65771.1130172597 & -62053.1130172597 \tabularnewline
121 & 1918 & 69947.2317816937 & -68029.2317816937 \tabularnewline
122 & 0 & 78765.269230359 & -78765.269230359 \tabularnewline
123 & 0 & 49594.3094825517 & -49594.3094825517 \tabularnewline
124 & 1 & 54420.9528922136 & -54419.9528922136 \tabularnewline
125 & 0 & 61639.4809139404 & -61639.4809139404 \tabularnewline
126 & 1 & 78041.7245743982 & -78040.7245743982 \tabularnewline
127 & 0 & 77891.9741403795 & -77891.9741403795 \tabularnewline
128 & 0 & 81447.2430629768 & -81447.2430629768 \tabularnewline
129 & 60720 & 28798.4002198358 & 31921.5997801642 \tabularnewline
130 & 312 & 45912.6583638626 & -45600.6583638626 \tabularnewline
131 & 346 & 100448.751787978 & -100102.751787978 \tabularnewline
132 & 0 & 77952.2719017498 & -77952.2719017498 \tabularnewline
133 & 0 & 52179.8820692381 & -52179.8820692381 \tabularnewline
134 & 1 & 54289.5189413885 & -54288.5189413885 \tabularnewline
135 & 226 & 81363.1022572601 & -81137.1022572601 \tabularnewline
136 & 58 & -21548.8513264301 & 21606.8513264301 \tabularnewline
137 & 0 & 59108.511725481 & -59108.511725481 \tabularnewline
138 & 60720 & 28695.7975546590 & 32024.2024453410 \tabularnewline
139 & 114 & 45512.2065918589 & -45398.2065918589 \tabularnewline
140 & 283 & 105960.228778117 & -105677.228778117 \tabularnewline
141 & 201 & 37584.0510530613 & -37383.0510530613 \tabularnewline
142 & 109 & 28042.8368811451 & -27933.8368811451 \tabularnewline
143 & 69 & 43093.5240500681 & -43024.5240500681 \tabularnewline
144 & 267 & 39111.6382232016 & -38844.6382232016 \tabularnewline
145 & 611 & 1130.08724944828 & -519.087249448276 \tabularnewline
146 & 0 & 51971.70167699 & -51971.70167699 \tabularnewline
147 & 6 & 53051.7210422687 & -53045.7210422687 \tabularnewline
148 & 1 & 102623.549036291 & -102622.549036291 \tabularnewline
149 & 13 & 100261.277435596 & -100248.277435596 \tabularnewline
150 & 14 & 100421.82669718 & -100407.82669718 \tabularnewline
151 & 0 & 103878.255590640 & -103878.255590640 \tabularnewline
152 & 314210 & 103908.257602728 & 210301.742397272 \tabularnewline
153 & 480382 & 112923.353288844 & 367458.646711156 \tabularnewline
154 & 315009 & 113119.485475907 & 201889.514524093 \tabularnewline
155 & 315380 & 113067.860322747 & 202312.139677253 \tabularnewline
156 & 10262 & 79257.1594576716 & -68995.1594576716 \tabularnewline
157 & 15254 & 76930.3511937737 & -61676.3511937737 \tabularnewline
158 & 0 & 77709.6647862342 & -77709.6647862342 \tabularnewline
159 & 163 & 3469.23119135861 & -3306.23119135861 \tabularnewline
160 & 1 & 53852.6801073651 & -53851.680107365 \tabularnewline
161 & 1 & 80512.69101292 & -80511.69101292 \tabularnewline
162 & 1 & 77815.6351366532 & -77814.6351366532 \tabularnewline
163 & 1 & 79534.9471173698 & -79533.9471173698 \tabularnewline
164 & 0 & 63027.0567330077 & -63027.0567330077 \tabularnewline
165 & 0 & 58735.0639308562 & -58735.0639308562 \tabularnewline
166 & 1 & 85634.0316660443 & -85633.0316660443 \tabularnewline
167 & 0 & 82346.1988730218 & -82346.1988730218 \tabularnewline
168 & 1 & 79687.2280206702 & -79686.2280206702 \tabularnewline
169 & 1 & 73120.2750342923 & -73119.2750342923 \tabularnewline
170 & 14 & 80809.3433919438 & -80795.3433919438 \tabularnewline
171 & 17 & 27141.9345711305 & -27124.9345711305 \tabularnewline
172 & 0 & 30896.2830095608 & -30896.2830095608 \tabularnewline
173 & 121920 & 27142.3130915314 & 94777.6869084686 \tabularnewline
174 & 103960 & 19769.3873534747 & 84190.6126465253 \tabularnewline
175 & 60720 & 40249.8184428702 & 20470.1815571298 \tabularnewline
176 & 213 & 45211.1344474707 & -44998.1344474707 \tabularnewline
177 & 306 & 38586.1241374556 & -38280.1241374556 \tabularnewline
178 & 172 & -6525.31893711015 & 6697.31893711015 \tabularnewline
179 & 402 & -4631.9833266047 & 5033.9833266047 \tabularnewline
180 & 4 & -8998.8561280966 & 9002.8561280966 \tabularnewline
181 & 156 & 39124.110241253 & -38968.110241253 \tabularnewline
182 & 3 & 556.034305980066 & -553.034305980066 \tabularnewline
183 & 529 & 37994.9243373012 & -37465.9243373012 \tabularnewline
184 & 0 & 50667.8821993167 & -50667.8821993167 \tabularnewline
185 & 5 & 52509.3544151479 & -52504.3544151479 \tabularnewline
186 & 19 & 101059.907924882 & -101040.907924882 \tabularnewline
187 & 0 & 101259.068136552 & -101259.068136552 \tabularnewline
188 & 308636 & 102872.159075214 & 205763.840924786 \tabularnewline
189 & 158492 & 112133.128589592 & 46358.8714104075 \tabularnewline
190 & 315380 & 112461.703325369 & 202918.296674631 \tabularnewline
191 & 0 & 77601.5747230808 & -77601.5747230808 \tabularnewline
192 & 446 & -8079.57425511485 & 8525.57425511485 \tabularnewline
193 & 0 & 53347.7364282786 & -53347.7364282786 \tabularnewline
194 & 27 & 80435.5430244547 & -80408.5430244547 \tabularnewline
195 & 0 & 29860.7987230577 & -29860.7987230577 \tabularnewline
196 & 88590 & 27317.2090549796 & 61272.7909450204 \tabularnewline
197 & 82903 & 21781.8418607361 & 61121.1581392639 \tabularnewline
198 & 60720 & 36951.7929904196 & 23768.2070095804 \tabularnewline
199 & 99 & 42669.9662313218 & -42570.9662313218 \tabularnewline
200 & 310 & 106042.803319187 & -105732.803319187 \tabularnewline
201 & 17 & 92509.553201055 & -92492.553201055 \tabularnewline
202 & 416 & 104687.498802380 & -104271.498802380 \tabularnewline
203 & 295 & 106577.3758093 & -106282.3758093 \tabularnewline
204 & 342 & 103006.334256614 & -102664.334256614 \tabularnewline
205 & 21 & 91684.3636346288 & -91663.3636346288 \tabularnewline
206 & 423 & 104406.963572481 & -103983.963572481 \tabularnewline
207 & 160 & 106714.548506078 & -106554.548506078 \tabularnewline
208 & 207 & 95437.8527379846 & -95230.8527379846 \tabularnewline
209 & 92 & 33483.8448118799 & -33391.8448118799 \tabularnewline
210 & 98 & 13821.7358953218 & -13723.7358953218 \tabularnewline
211 & 2613 & 38360.5657839942 & -35747.5657839942 \tabularnewline
212 & 337 & 38035.5856544909 & -37698.5856544909 \tabularnewline
213 & 341 & 6340.93014920164 & -5999.93014920164 \tabularnewline
214 & 154 & 5268.90474002298 & -5114.90474002298 \tabularnewline
215 & 36 & 4310.3444518111 & -4274.3444518111 \tabularnewline
216 & 192 & -24616.1121470850 & 24808.1121470850 \tabularnewline
217 & 7123 & 25.4353370854897 & 7097.56466291451 \tabularnewline
218 & 622 & -56178.584385422 & 56800.584385422 \tabularnewline
219 & 174 & 49664.9736408726 & -49490.9736408726 \tabularnewline
220 & 2220 & 15195.9962770200 & -12975.9962770200 \tabularnewline
221 & 121 & -66032.5410650532 & 66153.5410650532 \tabularnewline
222 & 11819 & 54515.7739212058 & -42696.7739212058 \tabularnewline
223 & 0 & 2033.32797639425 & -2033.32797639425 \tabularnewline
224 & 19 & 51897.3615181402 & -51878.3615181402 \tabularnewline
225 & 11 & 101509.369713471 & -101498.369713471 \tabularnewline
226 & 35 & 99742.1637302754 & -99707.1637302754 \tabularnewline
227 & 0 & 103623.364143014 & -103623.364143014 \tabularnewline
228 & 315380 & 102697.760793240 & 212682.239206760 \tabularnewline
229 & 29525 & 76535.1539349653 & -47010.1539349653 \tabularnewline
230 & 7523 & 63543.4824678477 & -56020.4824678477 \tabularnewline
231 & 11431 & 72351.0507593306 & -60920.0507593306 \tabularnewline
232 & 0 & 76978.7688114974 & -76978.7688114974 \tabularnewline
233 & 0 & 52597.4042636716 & -52597.4042636716 \tabularnewline
234 & -3 & 62713.5362674058 & -62716.5362674058 \tabularnewline
235 & -8 & 49059.9822526915 & -49067.9822526915 \tabularnewline
236 & 1 & 52673.2680937968 & -52672.2680937968 \tabularnewline
237 & 1 & 78438.160374161 & -78437.160374161 \tabularnewline
238 & 2 & 79712.9625644162 & -79710.9625644162 \tabularnewline
239 & 0 & 21864.3364112835 & -21864.3364112835 \tabularnewline
240 & 78780 & 26903.0905473527 & 51876.9094526473 \tabularnewline
241 & 60720 & 47829.5051847232 & 12890.4948152768 \tabularnewline
242 & 270 & 44134.1785582156 & -43864.1785582156 \tabularnewline
243 & 333 & 37537.3334552319 & -37204.3334552319 \tabularnewline
244 & 0 & -439.302457869988 & 439.302457869988 \tabularnewline
245 & 0 & 51558.9237658454 & -51558.9237658454 \tabularnewline
246 & 640273 & 101016.383935706 & 539256.616064294 \tabularnewline
247 & 345783 & 109797.048477211 & 235985.951522789 \tabularnewline
248 & 652925 & 111212.633618857 & 541712.366381143 \tabularnewline
249 & 439798 & 110227.118901664 & 329570.881098336 \tabularnewline
250 & 278990 & 111308.588459233 & 167681.411540767 \tabularnewline
251 & 339836 & 111135.584838296 & 228700.415161704 \tabularnewline
252 & 240897 & 111049.615659821 & 129847.384340179 \tabularnewline
253 & 315380 & 111465.959549914 & 203914.040450086 \tabularnewline
254 & 5714 & 77761.7005439832 & -72047.7005439832 \tabularnewline
255 & 0 & 76626.0216724187 & -76626.0216724187 \tabularnewline
256 & 0 & 46173.1709267453 & -46173.1709267453 \tabularnewline
257 & 0 & 44392.252861646 & -44392.252861646 \tabularnewline
258 & 1 & 52329.1655542394 & -52328.1655542394 \tabularnewline
259 & 61 & 79355.7082769467 & -79294.7082769467 \tabularnewline
260 & 3 & 28296.8991267528 & -28293.8991267528 \tabularnewline
261 & 97 & 21977.0170091848 & -21880.0170091848 \tabularnewline
262 & 27 & 2028.92416555279 & -2001.92416555279 \tabularnewline
263 & 1 & 30083.7814098911 & -30082.7814098911 \tabularnewline
264 & 14 & 17166.2650294767 & -17152.2650294767 \tabularnewline
265 & 13 & 28929.3736575919 & -28916.3736575919 \tabularnewline
266 & 7 & 34675.0974703849 & -34668.0974703849 \tabularnewline
267 & 5 & 40055.333091481 & -40050.333091481 \tabularnewline
268 & 24 & 25742.1338189501 & -25718.1338189501 \tabularnewline
269 & 0 & 28177.2236766189 & -28177.2236766189 \tabularnewline
270 & 63915 & 26521.7125537444 & 37393.2874462556 \tabularnewline
271 & 60719 & 49668.1909711433 & 11050.8090288567 \tabularnewline
272 & 59500 & 32436.286997008 & 27063.713002992 \tabularnewline
273 & 60720 & 40602.8031089261 & 20117.1968910739 \tabularnewline
274 & 56 & 42375.9799320116 & -42319.9799320116 \tabularnewline
275 & 18 & 101156.452848418 & -101138.452848418 \tabularnewline
276 & 431 & 105710.967943996 & -105279.967943996 \tabularnewline
277 & 250 & 106464.967718338 & -106214.967718338 \tabularnewline
278 & 164 & 35551.6214528943 & -35387.6214528943 \tabularnewline
279 & 405 & 36965.1802013986 & -36560.1802013986 \tabularnewline
280 & 176 & 9543.51901428056 & -9367.51901428056 \tabularnewline
281 & 236 & -3587.35088324531 & 3823.35088324531 \tabularnewline
282 & 142 & -29266.4336053468 & 29408.4336053468 \tabularnewline
283 & 18014 & -1028.16558521426 & 19042.1655852143 \tabularnewline
284 & 0 & -85829.0672577536 & 85829.0672577536 \tabularnewline
285 & 0 & 50928.8252495405 & -50928.8252495405 \tabularnewline
286 & 983660 & 97085.3794973247 & 886574.620502675 \tabularnewline
287 & 318574 & 110681.806380394 & 207892.193619606 \tabularnewline
288 & 310768 & 110317.533253556 & 200450.466746444 \tabularnewline
289 & 312887 & 110897.798807418 & 201989.201192582 \tabularnewline
290 & 312339 & 110857.456674661 & 201481.543325339 \tabularnewline
291 & 314964 & 110961.431273642 & 204002.568726358 \tabularnewline
292 & 379983 & 109780.967927722 & 270202.032072278 \tabularnewline
293 & 315380 & 110884.955186572 & 204495.044813428 \tabularnewline
294 & 0 & 76033.1142210735 & -76033.1142210735 \tabularnewline
295 & 0 & 48872.5957024012 & -48872.5957024012 \tabularnewline
296 & 1 & 51730.5863519941 & -51729.5863519941 \tabularnewline
297 & 0 & 79822.3298095513 & -79822.3298095513 \tabularnewline
298 & 1 & 77023.6468718039 & -77022.6468718039 \tabularnewline
299 & 1 & 70808.2186513786 & -70807.2186513786 \tabularnewline
300 & 1 & 77417.5102360337 & -77416.5102360337 \tabularnewline
301 & 0 & 87318.5611822435 & -87318.5611822435 \tabularnewline
302 & 1 & -240095.011724735 & 240096.011724735 \tabularnewline
303 & 0 & 79498.9525893153 & -79498.9525893153 \tabularnewline
304 & 2 & 78626.845926178 & -78624.845926178 \tabularnewline
305 & 8 & 40855.7819434219 & -40847.7819434219 \tabularnewline
306 & 12 & 22223.1014461641 & -22211.1014461641 \tabularnewline
307 & 66 & 22383.9627402394 & -22317.9627402394 \tabularnewline
308 & 0 & -9499.58598849898 & 9499.58598849898 \tabularnewline
309 & 114768 & 25798.2240822052 & 88969.7759177948 \tabularnewline
310 & 60720 & 37444.8871404561 & 23275.1128595439 \tabularnewline
311 & 96 & 37076.4365116033 & -36980.4365116033 \tabularnewline
312 & 1 & 9424.15187187718 & -9423.15187187718 \tabularnewline
313 & 414 & 76202.6674833389 & -75788.6674833389 \tabularnewline
314 & 388 & 102139.220669138 & -101751.220669138 \tabularnewline
315 & 409 & 102857.056235081 & -102448.056235081 \tabularnewline
316 & 184 & 104868.91111722 & -104684.91111722 \tabularnewline
317 & 39 & 36364.5575314054 & -36325.5575314054 \tabularnewline
318 & 101 & -92815.6273445056 & 92916.6273445056 \tabularnewline
319 & 256 & -792.209369932476 & 1048.20936993248 \tabularnewline
320 & 1585 & -1626.11641596541 & 3211.11641596541 \tabularnewline
321 & 16189 & 35469.8983635212 & -19280.8983635212 \tabularnewline
322 & 0 & 28958.8206018263 & -28958.8206018263 \tabularnewline
323 & 0 & 50332.7170988491 & -50332.7170988491 \tabularnewline
324 & 375195 & 99634.7877930642 & 275560.212206936 \tabularnewline
325 & 288985 & 110332.12750727 & 178652.87249273 \tabularnewline
326 & 315380 & 110290.834597996 & 205089.165402004 \tabularnewline
327 & 3004 & 58868.1784397724 & -55864.1784397724 \tabularnewline
328 & 0 & 75505.4997144782 & -75505.4997144782 \tabularnewline
329 & 0 & 49796.9150205058 & -49796.9150205058 \tabularnewline
330 & 0 & 46856.8357100846 & -46856.8357100846 \tabularnewline
331 & -58 & 86971.5183593274 & -87029.5183593274 \tabularnewline
332 & 1 & 51158.7377753197 & -51157.7377753197 \tabularnewline
333 & 1 & 78320.1558767539 & -78319.155876754 \tabularnewline
334 & 0 & 78195.6888285015 & -78195.6888285015 \tabularnewline
335 & 60798 & 25529.0793407618 & 35268.9206592382 \tabularnewline
336 & 60720 & 40593.0220898931 & 20126.9779101069 \tabularnewline
337 & 396 & 41852.7272620703 & -41456.7272620703 \tabularnewline
338 & 228 & 104093.791150671 & -103865.791150671 \tabularnewline
339 & 249 & 36013.6330746266 & -35764.6330746266 \tabularnewline
340 & 0 & -1954.68427651811 & 1954.68427651811 \tabularnewline
341 & 136 & 49784.579917358 & -49648.579917358 \tabularnewline
342 & 114 & 87834.2260976941 & -87720.226097694 \tabularnewline
343 & 15 & 81443.188913896 & -81428.188913896 \tabularnewline
344 & 11 & 104289.015784370 & -104278.015784370 \tabularnewline
345 & 12 & 100783.452922872 & -100771.452922872 \tabularnewline
346 & 8 & 94930.2843869229 & -94922.2843869229 \tabularnewline
347 & 122 & 99428.5119795813 & -99306.5119795813 \tabularnewline
348 & 113 & 107907.222729216 & -107794.222729216 \tabularnewline
349 & 6 & 100904.910771332 & -100898.910771332 \tabularnewline
350 & 0 & 98291.1901524818 & -98291.1901524818 \tabularnewline
351 & 215362 & 100055.977367733 & 115306.022632267 \tabularnewline
352 & 314073 & 109577.309638911 & 204495.690361089 \tabularnewline
353 & 298096 & 109838.753502649 & 188257.246497351 \tabularnewline
354 & 325176 & 109848.148858527 & 215327.851141473 \tabularnewline
355 & 207393 & 109126.235411498 & 98266.764588502 \tabularnewline
356 & 314806 & 109801.946435026 & 205004.053564974 \tabularnewline
357 & 341340 & 108333.519426538 & 233006.480573462 \tabularnewline
358 & 426280 & 109110.548128882 & 317169.451871118 \tabularnewline
359 & 929118 & 106550.266209220 & 822567.73379078 \tabularnewline
360 & 307322 & 109694.914866495 & 197627.085133505 \tabularnewline
361 & 315380 & 110055.009772176 & 205324.990227824 \tabularnewline
362 & 3024 & 67734.7510302215 & -64710.7510302215 \tabularnewline
363 & 18357 & 75522.5179679701 & -57165.5179679701 \tabularnewline
364 & 2353 & 75964.484038727 & -73611.484038727 \tabularnewline
365 & 8652 & 73319.9490557237 & -64667.9490557237 \tabularnewline
366 & 38611 & 74793.9148049147 & -36182.9148049147 \tabularnewline
367 & 9505 & 75263.9256278603 & -65758.9256278603 \tabularnewline
368 & 4108 & 70424.3150937017 & -66316.3150937017 \tabularnewline
369 & 0 & 74830.363700141 & -74830.363700141 \tabularnewline
370 & 0 & 50570.3366908334 & -50570.3366908334 \tabularnewline
371 & 0 & 77604.33791391 & -77604.33791391 \tabularnewline
372 & 60720 & 24970.0890986546 & 35749.9109013454 \tabularnewline
373 & 90 & 35072.0754055809 & -34982.0754055809 \tabularnewline
374 & 168 & 104123.891051111 & -103955.891051111 \tabularnewline
375 & 208 & 101307.826525832 & -101099.826525832 \tabularnewline
376 & 222 & 35424.7455122624 & -35202.7455122624 \tabularnewline
377 & 0 & -2543.95203268944 & 2543.95203268944 \tabularnewline
378 & 3 & 49431.7032815306 & -49428.7032815306 \tabularnewline
379 & 15 & 97900.9362439205 & -97885.9362439205 \tabularnewline
380 & 55 & 91006.8182115203 & -90951.8182115203 \tabularnewline
381 & 85 & 90177.2002734609 & -90092.2002734609 \tabularnewline
382 & 17 & 95671.1564724764 & -95654.1564724764 \tabularnewline
383 & 277 & 99701.4125456717 & -99424.4125456717 \tabularnewline
384 & 10 & 89126.6732676803 & -89116.6732676803 \tabularnewline
385 & 4 & 98422.4377629795 & -98418.4377629795 \tabularnewline
386 & 7 & 97223.2873515545 & -97216.2873515545 \tabularnewline
387 & 26 & 99472.4728602315 & -99446.4728602315 \tabularnewline
388 & 47 & 95707.4858527481 & -95660.4858527481 \tabularnewline
389 & 203 & 91631.0538866954 & -91428.0538866954 \tabularnewline
390 & 5 & 86881.1698030895 & -86876.1698030895 \tabularnewline
391 & 0 & 97801.574770726 & -97801.574770726 \tabularnewline
392 & 315380 & 100095.84884436 & 215284.15115564 \tabularnewline
393 & 10620 & 78228.4058187004 & -67608.4058187004 \tabularnewline
394 & 5669 & 72061.9053213598 & -66392.9053213598 \tabularnewline
395 & 10581 & 74522.396192864 & -63941.396192864 \tabularnewline
396 & 2533 & 34126.6090952229 & -31593.6090952229 \tabularnewline
397 & 827 & 73894.3868899417 & -73067.3868899417 \tabularnewline
398 & 57694 & 74345.8218336052 & -16651.8218336052 \tabularnewline
399 & 0 & 51162.917562566 & -51162.917562566 \tabularnewline
400 & 0 & 48723.9114554973 & -48723.9114554973 \tabularnewline
401 & 14 & 51981.0805543261 & -51967.0805543261 \tabularnewline
402 & 2854 & -219183.447027556 & 222037.447027556 \tabularnewline
403 & 0 & 50583.3759894606 & -50583.3759894606 \tabularnewline
404 & -10 & 51391.1810206905 & -51401.1810206905 \tabularnewline
405 & -28 & 94222.6278519589 & -94250.627851959 \tabularnewline
406 & 1 & 49956.9667505418 & -49955.9667505418 \tabularnewline
407 & 1 & 71635.2925638576 & -71634.2925638576 \tabularnewline
408 & 1 & 69398.4978283298 & -69397.4978283298 \tabularnewline
409 & 72 & 76987.763750467 & -76915.763750467 \tabularnewline
410 & 17 & 24543.6575449279 & -24526.6575449279 \tabularnewline
411 & 47 & 22759.8263174007 & -22712.8263174007 \tabularnewline
412 & 6 & -24054.10905635 & 24060.10905635 \tabularnewline
413 & 11 & 21742.5719640953 & -21731.5719640953 \tabularnewline
414 & 105 & 5113.62384684911 & -5008.62384684911 \tabularnewline
415 & 17 & 29480.7032377041 & -29463.7032377041 \tabularnewline
416 & 8 & 30566.4375805127 & -30558.4375805127 \tabularnewline
417 & 8 & 29624.5057485055 & -29616.5057485055 \tabularnewline
418 & 14 & 22291.1134823493 & -22277.1134823493 \tabularnewline
419 & 6 & 16657.0105616377 & -16651.0105616377 \tabularnewline
420 & 53 & 25794.1221003904 & -25741.1221003904 \tabularnewline
421 & 63 & 2133.54925252655 & -2070.54925252655 \tabularnewline
422 & 0 & -5380.29404650284 & 5380.29404650284 \tabularnewline
423 & 60720 & 23163.0358513490 & 37556.9641486510 \tabularnewline
424 & 61808 & 41706.4108159777 & 20101.5891840223 \tabularnewline
425 & 60438 & 45086.8905139189 & 15351.1094860811 \tabularnewline
426 & 58598 & 48311.1926105645 & 10286.8073894355 \tabularnewline
427 & 59781 & 43802.1907714537 & 15978.8092285463 \tabularnewline
428 & 60945 & 44495.7317003166 & 16449.2682996834 \tabularnewline
429 & 61124 & 43547.6081074318 & 17576.3918925682 \tabularnewline
430 & 60720 & 43772.4400204965 & 16947.5599795035 \tabularnewline
431 & 365 & 42007.0921715804 & -41642.0921715804 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104710&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]54995.3445273777[/C][C]-54995.3445273777[/C][/ROW]
[ROW][C]2[/C][C]39[/C][C]21237.1704271369[/C][C]-21198.1704271369[/C][/ROW]
[ROW][C]3[/C][C]0[/C][C]54361.8008520723[/C][C]-54361.8008520723[/C][/ROW]
[ROW][C]4[/C][C]0[/C][C]41340.2881268703[/C][C]-41340.2881268703[/C][/ROW]
[ROW][C]5[/C][C]305[/C][C]31416.0697385782[/C][C]-31111.0697385782[/C][/ROW]
[ROW][C]6[/C][C]-9[/C][C]58095.5190680774[/C][C]-58104.5190680774[/C][/ROW]
[ROW][C]7[/C][C]-1[/C][C]58645.531610534[/C][C]-58646.531610534[/C][/ROW]
[ROW][C]8[/C][C]0[/C][C]55433.4298764532[/C][C]-55433.4298764532[/C][/ROW]
[ROW][C]9[/C][C]0[/C][C]50809.4838842251[/C][C]-50809.4838842251[/C][/ROW]
[ROW][C]10[/C][C]0[/C][C]56952.1125662733[/C][C]-56952.1125662733[/C][/ROW]
[ROW][C]11[/C][C]33[/C][C]31921.8324807562[/C][C]-31888.8324807562[/C][/ROW]
[ROW][C]12[/C][C]32[/C][C]28032.4675878407[/C][C]-28000.4675878407[/C][/ROW]
[ROW][C]13[/C][C]1[/C][C]56248.8062904308[/C][C]-56247.8062904308[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]80418.2117551791[/C][C]-80417.2117551791[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]82187.8743297468[/C][C]-82186.8743297468[/C][/ROW]
[ROW][C]16[/C][C]1[/C][C]83456.4056768652[/C][C]-83455.4056768652[/C][/ROW]
[ROW][C]17[/C][C]1[/C][C]82174.397141702[/C][C]-82173.397141702[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]82302.6722459649[/C][C]-82301.6722459649[/C][/ROW]
[ROW][C]19[/C][C]1[/C][C]81616.2292392083[/C][C]-81615.2292392083[/C][/ROW]
[ROW][C]20[/C][C]1[/C][C]81432.2314023345[/C][C]-81431.2314023345[/C][/ROW]
[ROW][C]21[/C][C]35[/C][C]83179.4596558027[/C][C]-83144.4596558027[/C][/ROW]
[ROW][C]22[/C][C]0[/C][C]34671.7689111159[/C][C]-34671.7689111159[/C][/ROW]
[ROW][C]23[/C][C]121173[/C][C]30145.8039874244[/C][C]91027.1960125756[/C][/ROW]
[ROW][C]24[/C][C]57530[/C][C]28299.0455844737[/C][C]29230.9544155263[/C][/ROW]
[ROW][C]25[/C][C]62041[/C][C]35610.3511542636[/C][C]26430.6488457364[/C][/ROW]
[ROW][C]26[/C][C]60720[/C][C]46959.3882266894[/C][C]13760.6117733106[/C][/ROW]
[ROW][C]27[/C][C]136996[/C][C]48544.5558246846[/C][C]88451.4441753154[/C][/ROW]
[ROW][C]28[/C][C]60720[/C][C]30312.7264926739[/C][C]30407.2735073261[/C][/ROW]
[ROW][C]29[/C][C]115[/C][C]45620.1796550427[/C][C]-45505.1796550427[/C][/ROW]
[ROW][C]30[/C][C]387[/C][C]105968.793336408[/C][C]-105581.793336408[/C][/ROW]
[ROW][C]31[/C][C]219[/C][C]108988.901920017[/C][C]-108769.901920017[/C][/ROW]
[ROW][C]32[/C][C]430[/C][C]37517.9399011762[/C][C]-37087.9399011762[/C][/ROW]
[ROW][C]33[/C][C]288[/C][C]-14754.7177880373[/C][C]15042.7177880373[/C][/ROW]
[ROW][C]34[/C][C]22[/C][C]26710.5698491453[/C][C]-26688.5698491453[/C][/ROW]
[ROW][C]35[/C][C]18[/C][C]41915.4319069036[/C][C]-41897.4319069036[/C][/ROW]
[ROW][C]36[/C][C]12458[/C][C]40796.2576020225[/C][C]-28338.2576020225[/C][/ROW]
[ROW][C]37[/C][C]32[/C][C]50213.0440337195[/C][C]-50181.0440337195[/C][/ROW]
[ROW][C]38[/C][C]29[/C][C]-203705.991807107[/C][C]203734.991807107[/C][/ROW]
[ROW][C]39[/C][C]42[/C][C]12993.7730133385[/C][C]-12951.7730133385[/C][/ROW]
[ROW][C]40[/C][C]844[/C][C]10029.9914935254[/C][C]-9185.99149352544[/C][/ROW]
[ROW][C]41[/C][C]242[/C][C]28128.8021560709[/C][C]-27886.8021560709[/C][/ROW]
[ROW][C]42[/C][C]123[/C][C]19231.0798477007[/C][C]-19108.0798477007[/C][/ROW]
[ROW][C]43[/C][C]184[/C][C]40714.4922446457[/C][C]-40530.4922446457[/C][/ROW]
[ROW][C]44[/C][C]401[/C][C]7623.59330980641[/C][C]-7222.59330980641[/C][/ROW]
[ROW][C]45[/C][C]371[/C][C]1380.38656393885[/C][C]-1009.38656393885[/C][/ROW]
[ROW][C]46[/C][C]203[/C][C]2718.33062326244[/C][C]-2515.33062326244[/C][/ROW]
[ROW][C]47[/C][C]3689[/C][C]50987.4885821997[/C][C]-47298.4885821997[/C][/ROW]
[ROW][C]48[/C][C]567[/C][C]32545.2292487221[/C][C]-31978.2292487221[/C][/ROW]
[ROW][C]49[/C][C]27664[/C][C]27491.3536764948[/C][C]172.646323505171[/C][/ROW]
[ROW][C]50[/C][C]1686[/C][C]2484.74723157612[/C][C]-798.747231576123[/C][/ROW]
[ROW][C]51[/C][C]1164[/C][C]43699.3696596906[/C][C]-42535.3696596906[/C][/ROW]
[ROW][C]52[/C][C]15824[/C][C]60521.6633475101[/C][C]-44697.6633475101[/C][/ROW]
[ROW][C]53[/C][C]6575[/C][C]14051.1303930229[/C][C]-7476.13039302294[/C][/ROW]
[ROW][C]54[/C][C]37597[/C][C]-77236.8602888879[/C][C]114833.860288888[/C][/ROW]
[ROW][C]55[/C][C]314[/C][C]-34745.6057489478[/C][C]35059.6057489478[/C][/ROW]
[ROW][C]56[/C][C]1932[/C][C]46666.1558153907[/C][C]-44734.1558153907[/C][/ROW]
[ROW][C]57[/C][C]5692[/C][C]59893.0256725882[/C][C]-54201.0256725882[/C][/ROW]
[ROW][C]58[/C][C]0[/C][C]47008.0188275387[/C][C]-47008.0188275387[/C][/ROW]
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[ROW][C]63[/C][C]125390[/C][C]112988.249489783[/C][C]12401.7505102167[/C][/ROW]
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[ROW][C]241[/C][C]60720[/C][C]47829.5051847232[/C][C]12890.4948152768[/C][/ROW]
[ROW][C]242[/C][C]270[/C][C]44134.1785582156[/C][C]-43864.1785582156[/C][/ROW]
[ROW][C]243[/C][C]333[/C][C]37537.3334552319[/C][C]-37204.3334552319[/C][/ROW]
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[ROW][C]246[/C][C]640273[/C][C]101016.383935706[/C][C]539256.616064294[/C][/ROW]
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[ROW][C]261[/C][C]97[/C][C]21977.0170091848[/C][C]-21880.0170091848[/C][/ROW]
[ROW][C]262[/C][C]27[/C][C]2028.92416555279[/C][C]-2001.92416555279[/C][/ROW]
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[ROW][C]290[/C][C]312339[/C][C]110857.456674661[/C][C]201481.543325339[/C][/ROW]
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[ROW][C]315[/C][C]409[/C][C]102857.056235081[/C][C]-102448.056235081[/C][/ROW]
[ROW][C]316[/C][C]184[/C][C]104868.91111722[/C][C]-104684.91111722[/C][/ROW]
[ROW][C]317[/C][C]39[/C][C]36364.5575314054[/C][C]-36325.5575314054[/C][/ROW]
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[ROW][C]319[/C][C]256[/C][C]-792.209369932476[/C][C]1048.20936993248[/C][/ROW]
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[ROW][C]321[/C][C]16189[/C][C]35469.8983635212[/C][C]-19280.8983635212[/C][/ROW]
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[ROW][C]325[/C][C]288985[/C][C]110332.12750727[/C][C]178652.87249273[/C][/ROW]
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[ROW][C]410[/C][C]17[/C][C]24543.6575449279[/C][C]-24526.6575449279[/C][/ROW]
[ROW][C]411[/C][C]47[/C][C]22759.8263174007[/C][C]-22712.8263174007[/C][/ROW]
[ROW][C]412[/C][C]6[/C][C]-24054.10905635[/C][C]24060.10905635[/C][/ROW]
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[ROW][C]415[/C][C]17[/C][C]29480.7032377041[/C][C]-29463.7032377041[/C][/ROW]
[ROW][C]416[/C][C]8[/C][C]30566.4375805127[/C][C]-30558.4375805127[/C][/ROW]
[ROW][C]417[/C][C]8[/C][C]29624.5057485055[/C][C]-29616.5057485055[/C][/ROW]
[ROW][C]418[/C][C]14[/C][C]22291.1134823493[/C][C]-22277.1134823493[/C][/ROW]
[ROW][C]419[/C][C]6[/C][C]16657.0105616377[/C][C]-16651.0105616377[/C][/ROW]
[ROW][C]420[/C][C]53[/C][C]25794.1221003904[/C][C]-25741.1221003904[/C][/ROW]
[ROW][C]421[/C][C]63[/C][C]2133.54925252655[/C][C]-2070.54925252655[/C][/ROW]
[ROW][C]422[/C][C]0[/C][C]-5380.29404650284[/C][C]5380.29404650284[/C][/ROW]
[ROW][C]423[/C][C]60720[/C][C]23163.0358513490[/C][C]37556.9641486510[/C][/ROW]
[ROW][C]424[/C][C]61808[/C][C]41706.4108159777[/C][C]20101.5891840223[/C][/ROW]
[ROW][C]425[/C][C]60438[/C][C]45086.8905139189[/C][C]15351.1094860811[/C][/ROW]
[ROW][C]426[/C][C]58598[/C][C]48311.1926105645[/C][C]10286.8073894355[/C][/ROW]
[ROW][C]427[/C][C]59781[/C][C]43802.1907714537[/C][C]15978.8092285463[/C][/ROW]
[ROW][C]428[/C][C]60945[/C][C]44495.7317003166[/C][C]16449.2682996834[/C][/ROW]
[ROW][C]429[/C][C]61124[/C][C]43547.6081074318[/C][C]17576.3918925682[/C][/ROW]
[ROW][C]430[/C][C]60720[/C][C]43772.4400204965[/C][C]16947.5599795035[/C][/ROW]
[ROW][C]431[/C][C]365[/C][C]42007.0921715804[/C][C]-41642.0921715804[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104710&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104710&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1054995.3445273777-54995.3445273777
23921237.1704271369-21198.1704271369
3054361.8008520723-54361.8008520723
4041340.2881268703-41340.2881268703
530531416.0697385782-31111.0697385782
6-958095.5190680774-58104.5190680774
7-158645.531610534-58646.531610534
8055433.4298764532-55433.4298764532
9050809.4838842251-50809.4838842251
10056952.1125662733-56952.1125662733
113331921.8324807562-31888.8324807562
123228032.4675878407-28000.4675878407
13156248.8062904308-56247.8062904308
14180418.2117551791-80417.2117551791
15182187.8743297468-82186.8743297468
16183456.4056768652-83455.4056768652
17182174.397141702-82173.397141702
18182302.6722459649-82301.6722459649
19181616.2292392083-81615.2292392083
20181432.2314023345-81431.2314023345
213583179.4596558027-83144.4596558027
22034671.7689111159-34671.7689111159
2312117330145.803987424491027.1960125756
245753028299.045584473729230.9544155263
256204135610.351154263626430.6488457364
266072046959.388226689413760.6117733106
2713699648544.555824684688451.4441753154
286072030312.726492673930407.2735073261
2911545620.1796550427-45505.1796550427
30387105968.793336408-105581.793336408
31219108988.901920017-108769.901920017
3243037517.9399011762-37087.9399011762
33288-14754.717788037315042.7177880373
342226710.5698491453-26688.5698491453
351841915.4319069036-41897.4319069036
361245840796.2576020225-28338.2576020225
373250213.0440337195-50181.0440337195
3829-203705.991807107203734.991807107
394212993.7730133385-12951.7730133385
4084410029.9914935254-9185.99149352544
4124228128.8021560709-27886.8021560709
4212319231.0798477007-19108.0798477007
4318440714.4922446457-40530.4922446457
444017623.59330980641-7222.59330980641
453711380.38656393885-1009.38656393885
462032718.33062326244-2515.33062326244
47368950987.4885821997-47298.4885821997
4856732545.2292487221-31978.2292487221
492766427491.3536764948172.646323505171
5016862484.74723157612-798.747231576123
51116443699.3696596906-42535.3696596906
521582460521.6633475101-44697.6633475101
53657514051.1303930229-7476.13039302294
5437597-77236.8602888879114833.860288888
55314-34745.605748947835059.6057489478
56193246666.1558153907-44734.1558153907
57569259893.0256725882-54201.0256725882
58047008.0188275387-47008.0188275387
59054520.8562799439-54520.8562799439
60364839104280.066431302260558.933568698
61230621114477.920964874116143.079035126
62315877114502.7897554201374.2102446
63125390112988.24948978312401.7505102167
64314882114459.195882190200422.804117810
65370837112802.415722361258034.584277639
66330068114374.711048617215693.288951383
67324385114183.450755006210201.549244994
68315380114714.525236685200665.474763315
69114091696.68543477369712.3145652264
70111579190.7075564648-78075.7075564648
7113337-209102.632699500222439.632699500
72079793.1109792119-79793.1109792119
73048398.5437031699-48398.5437031699
74054175.1783557951-54175.1783557951
75052006.0262942358-52006.0262942358
76054572.9907826869-54572.9907826869
7723875040.0244625713-74802.0244625713
783040-126427.873289370129467.873289370
79051078.5558226043-51078.5558226043
80155177.4680416861-55176.4680416861
813782236.2986768097-82199.2986768097
82019104.9264677979-19104.9264677979
836072029574.357311109631145.6426888904
8430846641.5511858394-46333.5511858394
85296105501.266105793-105205.266105793
8635797392.6094658601-97035.6094658601
87110106962.574797885-106852.574797885
88245105666.244889735-105421.244889735
8946944795.1787782459-44326.1787782459
9034-147349.797788609147383.797788609
91-3575287.769488629-75322.769488629
9246337502.8568873603-37039.8568873603
9395435276.7983487529-34322.7983487529
9422639909.2806181362-39683.2806181362
952761079.23314361230-803.233143612305
96383-648.6261705817441031.62617058174
979315074.4671323019-14981.4671323019
98302-45706.591355142246008.5913551422
99385-3888.647981975314273.64798197531
100225-597.00003142142822.00003142142
101275-10901.478920026511176.4789200265
102180731811.0300250274016261.9699749726
1031866108238.004884997-106372.004884997
1044263452648.5271767049-10014.5271767049
105249-159094.675873069159343.675873069
10642258109.3529249701-57687.3529249701
107267552702.2753352425-50027.2753352425
10896547983.6523611754-47018.6523611754
109065244.2755239313-65244.2755239313
1101153658.6782150813-53647.6782150813
1110102427.463736015-102427.463736015
112309560104540.161380234205019.838619766
113414462113205.275532767301256.724467233
114857217112070.187211443745146.812788557
115697458112779.549048522584678.450951478
116530670113101.736122238417568.263877762
117238125113330.803588147124794.196411853
118315380113609.737606242201770.262393758
1191203144080.1889997557-32049.1889997557
120371865771.1130172597-62053.1130172597
121191869947.2317816937-68029.2317816937
122078765.269230359-78765.269230359
123049594.3094825517-49594.3094825517
124154420.9528922136-54419.9528922136
125061639.4809139404-61639.4809139404
126178041.7245743982-78040.7245743982
127077891.9741403795-77891.9741403795
128081447.2430629768-81447.2430629768
1296072028798.400219835831921.5997801642
13031245912.6583638626-45600.6583638626
131346100448.751787978-100102.751787978
132077952.2719017498-77952.2719017498
133052179.8820692381-52179.8820692381
134154289.5189413885-54288.5189413885
13522681363.1022572601-81137.1022572601
13658-21548.851326430121606.8513264301
137059108.511725481-59108.511725481
1386072028695.797554659032024.2024453410
13911445512.2065918589-45398.2065918589
140283105960.228778117-105677.228778117
14120137584.0510530613-37383.0510530613
14210928042.8368811451-27933.8368811451
1436943093.5240500681-43024.5240500681
14426739111.6382232016-38844.6382232016
1456111130.08724944828-519.087249448276
146051971.70167699-51971.70167699
147653051.7210422687-53045.7210422687
1481102623.549036291-102622.549036291
14913100261.277435596-100248.277435596
15014100421.82669718-100407.82669718
1510103878.255590640-103878.255590640
152314210103908.257602728210301.742397272
153480382112923.353288844367458.646711156
154315009113119.485475907201889.514524093
155315380113067.860322747202312.139677253
1561026279257.1594576716-68995.1594576716
1571525476930.3511937737-61676.3511937737
158077709.6647862342-77709.6647862342
1591633469.23119135861-3306.23119135861
160153852.6801073651-53851.680107365
161180512.69101292-80511.69101292
162177815.6351366532-77814.6351366532
163179534.9471173698-79533.9471173698
164063027.0567330077-63027.0567330077
165058735.0639308562-58735.0639308562
166185634.0316660443-85633.0316660443
167082346.1988730218-82346.1988730218
168179687.2280206702-79686.2280206702
169173120.2750342923-73119.2750342923
1701480809.3433919438-80795.3433919438
1711727141.9345711305-27124.9345711305
172030896.2830095608-30896.2830095608
17312192027142.313091531494777.6869084686
17410396019769.387353474784190.6126465253
1756072040249.818442870220470.1815571298
17621345211.1344474707-44998.1344474707
17730638586.1241374556-38280.1241374556
178172-6525.318937110156697.31893711015
179402-4631.98332660475033.9833266047
1804-8998.85612809669002.8561280966
18115639124.110241253-38968.110241253
1823556.034305980066-553.034305980066
18352937994.9243373012-37465.9243373012
184050667.8821993167-50667.8821993167
185552509.3544151479-52504.3544151479
18619101059.907924882-101040.907924882
1870101259.068136552-101259.068136552
188308636102872.159075214205763.840924786
189158492112133.12858959246358.8714104075
190315380112461.703325369202918.296674631
191077601.5747230808-77601.5747230808
192446-8079.574255114858525.57425511485
193053347.7364282786-53347.7364282786
1942780435.5430244547-80408.5430244547
195029860.7987230577-29860.7987230577
1968859027317.209054979661272.7909450204
1978290321781.841860736161121.1581392639
1986072036951.792990419623768.2070095804
1999942669.9662313218-42570.9662313218
200310106042.803319187-105732.803319187
2011792509.553201055-92492.553201055
202416104687.498802380-104271.498802380
203295106577.3758093-106282.3758093
204342103006.334256614-102664.334256614
2052191684.3636346288-91663.3636346288
206423104406.963572481-103983.963572481
207160106714.548506078-106554.548506078
20820795437.8527379846-95230.8527379846
2099233483.8448118799-33391.8448118799
2109813821.7358953218-13723.7358953218
211261338360.5657839942-35747.5657839942
21233738035.5856544909-37698.5856544909
2133416340.93014920164-5999.93014920164
2141545268.90474002298-5114.90474002298
215364310.3444518111-4274.3444518111
216192-24616.112147085024808.1121470850
217712325.43533708548977097.56466291451
218622-56178.58438542256800.584385422
21917449664.9736408726-49490.9736408726
220222015195.9962770200-12975.9962770200
221121-66032.541065053266153.5410650532
2221181954515.7739212058-42696.7739212058
22302033.32797639425-2033.32797639425
2241951897.3615181402-51878.3615181402
22511101509.369713471-101498.369713471
2263599742.1637302754-99707.1637302754
2270103623.364143014-103623.364143014
228315380102697.760793240212682.239206760
2292952576535.1539349653-47010.1539349653
230752363543.4824678477-56020.4824678477
2311143172351.0507593306-60920.0507593306
232076978.7688114974-76978.7688114974
233052597.4042636716-52597.4042636716
234-362713.5362674058-62716.5362674058
235-849059.9822526915-49067.9822526915
236152673.2680937968-52672.2680937968
237178438.160374161-78437.160374161
238279712.9625644162-79710.9625644162
239021864.3364112835-21864.3364112835
2407878026903.090547352751876.9094526473
2416072047829.505184723212890.4948152768
24227044134.1785582156-43864.1785582156
24333337537.3334552319-37204.3334552319
2440-439.302457869988439.302457869988
245051558.9237658454-51558.9237658454
246640273101016.383935706539256.616064294
247345783109797.048477211235985.951522789
248652925111212.633618857541712.366381143
249439798110227.118901664329570.881098336
250278990111308.588459233167681.411540767
251339836111135.584838296228700.415161704
252240897111049.615659821129847.384340179
253315380111465.959549914203914.040450086
254571477761.7005439832-72047.7005439832
255076626.0216724187-76626.0216724187
256046173.1709267453-46173.1709267453
257044392.252861646-44392.252861646
258152329.1655542394-52328.1655542394
2596179355.7082769467-79294.7082769467
260328296.8991267528-28293.8991267528
2619721977.0170091848-21880.0170091848
262272028.92416555279-2001.92416555279
263130083.7814098911-30082.7814098911
2641417166.2650294767-17152.2650294767
2651328929.3736575919-28916.3736575919
266734675.0974703849-34668.0974703849
267540055.333091481-40050.333091481
2682425742.1338189501-25718.1338189501
269028177.2236766189-28177.2236766189
2706391526521.712553744437393.2874462556
2716071949668.190971143311050.8090288567
2725950032436.28699700827063.713002992
2736072040602.803108926120117.1968910739
2745642375.9799320116-42319.9799320116
27518101156.452848418-101138.452848418
276431105710.967943996-105279.967943996
277250106464.967718338-106214.967718338
27816435551.6214528943-35387.6214528943
27940536965.1802013986-36560.1802013986
2801769543.51901428056-9367.51901428056
281236-3587.350883245313823.35088324531
282142-29266.433605346829408.4336053468
28318014-1028.1655852142619042.1655852143
2840-85829.067257753685829.0672577536
285050928.8252495405-50928.8252495405
28698366097085.3794973247886574.620502675
287318574110681.806380394207892.193619606
288310768110317.533253556200450.466746444
289312887110897.798807418201989.201192582
290312339110857.456674661201481.543325339
291314964110961.431273642204002.568726358
292379983109780.967927722270202.032072278
293315380110884.955186572204495.044813428
294076033.1142210735-76033.1142210735
295048872.5957024012-48872.5957024012
296151730.5863519941-51729.5863519941
297079822.3298095513-79822.3298095513
298177023.6468718039-77022.6468718039
299170808.2186513786-70807.2186513786
300177417.5102360337-77416.5102360337
301087318.5611822435-87318.5611822435
3021-240095.011724735240096.011724735
303079498.9525893153-79498.9525893153
304278626.845926178-78624.845926178
305840855.7819434219-40847.7819434219
3061222223.1014461641-22211.1014461641
3076622383.9627402394-22317.9627402394
3080-9499.585988498989499.58598849898
30911476825798.224082205288969.7759177948
3106072037444.887140456123275.1128595439
3119637076.4365116033-36980.4365116033
31219424.15187187718-9423.15187187718
31341476202.6674833389-75788.6674833389
314388102139.220669138-101751.220669138
315409102857.056235081-102448.056235081
316184104868.91111722-104684.91111722
3173936364.5575314054-36325.5575314054
318101-92815.627344505692916.6273445056
319256-792.2093699324761048.20936993248
3201585-1626.116415965413211.11641596541
3211618935469.8983635212-19280.8983635212
322028958.8206018263-28958.8206018263
323050332.7170988491-50332.7170988491
32437519599634.7877930642275560.212206936
325288985110332.12750727178652.87249273
326315380110290.834597996205089.165402004
327300458868.1784397724-55864.1784397724
328075505.4997144782-75505.4997144782
329049796.9150205058-49796.9150205058
330046856.8357100846-46856.8357100846
331-5886971.5183593274-87029.5183593274
332151158.7377753197-51157.7377753197
333178320.1558767539-78319.155876754
334078195.6888285015-78195.6888285015
3356079825529.079340761835268.9206592382
3366072040593.022089893120126.9779101069
33739641852.7272620703-41456.7272620703
338228104093.791150671-103865.791150671
33924936013.6330746266-35764.6330746266
3400-1954.684276518111954.68427651811
34113649784.579917358-49648.579917358
34211487834.2260976941-87720.226097694
3431581443.188913896-81428.188913896
34411104289.015784370-104278.015784370
34512100783.452922872-100771.452922872
346894930.2843869229-94922.2843869229
34712299428.5119795813-99306.5119795813
348113107907.222729216-107794.222729216
3496100904.910771332-100898.910771332
350098291.1901524818-98291.1901524818
351215362100055.977367733115306.022632267
352314073109577.309638911204495.690361089
353298096109838.753502649188257.246497351
354325176109848.148858527215327.851141473
355207393109126.23541149898266.764588502
356314806109801.946435026205004.053564974
357341340108333.519426538233006.480573462
358426280109110.548128882317169.451871118
359929118106550.266209220822567.73379078
360307322109694.914866495197627.085133505
361315380110055.009772176205324.990227824
362302467734.7510302215-64710.7510302215
3631835775522.5179679701-57165.5179679701
364235375964.484038727-73611.484038727
365865273319.9490557237-64667.9490557237
3663861174793.9148049147-36182.9148049147
367950575263.9256278603-65758.9256278603
368410870424.3150937017-66316.3150937017
369074830.363700141-74830.363700141
370050570.3366908334-50570.3366908334
371077604.33791391-77604.33791391
3726072024970.089098654635749.9109013454
3739035072.0754055809-34982.0754055809
374168104123.891051111-103955.891051111
375208101307.826525832-101099.826525832
37622235424.7455122624-35202.7455122624
3770-2543.952032689442543.95203268944
378349431.7032815306-49428.7032815306
3791597900.9362439205-97885.9362439205
3805591006.8182115203-90951.8182115203
3818590177.2002734609-90092.2002734609
3821795671.1564724764-95654.1564724764
38327799701.4125456717-99424.4125456717
3841089126.6732676803-89116.6732676803
385498422.4377629795-98418.4377629795
386797223.2873515545-97216.2873515545
3872699472.4728602315-99446.4728602315
3884795707.4858527481-95660.4858527481
38920391631.0538866954-91428.0538866954
390586881.1698030895-86876.1698030895
391097801.574770726-97801.574770726
392315380100095.84884436215284.15115564
3931062078228.4058187004-67608.4058187004
394566972061.9053213598-66392.9053213598
3951058174522.396192864-63941.396192864
396253334126.6090952229-31593.6090952229
39782773894.3868899417-73067.3868899417
3985769474345.8218336052-16651.8218336052
399051162.917562566-51162.917562566
400048723.9114554973-48723.9114554973
4011451981.0805543261-51967.0805543261
4022854-219183.447027556222037.447027556
403050583.3759894606-50583.3759894606
404-1051391.1810206905-51401.1810206905
405-2894222.6278519589-94250.627851959
406149956.9667505418-49955.9667505418
407171635.2925638576-71634.2925638576
408169398.4978283298-69397.4978283298
4097276987.763750467-76915.763750467
4101724543.6575449279-24526.6575449279
4114722759.8263174007-22712.8263174007
4126-24054.1090563524060.10905635
4131121742.5719640953-21731.5719640953
4141055113.62384684911-5008.62384684911
4151729480.7032377041-29463.7032377041
416830566.4375805127-30558.4375805127
417829624.5057485055-29616.5057485055
4181422291.1134823493-22277.1134823493
419616657.0105616377-16651.0105616377
4205325794.1221003904-25741.1221003904
421632133.54925252655-2070.54925252655
4220-5380.294046502845380.29404650284
4236072023163.035851349037556.9641486510
4246180841706.410815977720101.5891840223
4256043845086.890513918915351.1094860811
4265859848311.192610564510286.8073894355
4275978143802.190771453715978.8092285463
4286094544495.731700316616449.2682996834
4296112443547.608107431817576.3918925682
4306072043772.440020496516947.5599795035
43136542007.0921715804-41642.0921715804







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
158.1603696494877e-121.63207392989754e-110.99999999999184
162.07001173694949e-154.14002347389899e-150.999999999999998
176.35233528526388e-191.27046705705278e-181
181.17117506071356e-222.34235012142712e-221
192.13899258811303e-264.27798517622607e-261
203.54024371705851e-307.08048743411702e-301
217.92681309948923e-341.58536261989785e-331
222.79073996956707e-375.58147993913414e-371
233.50442602852982e-207.00885205705964e-201
247.49815802853514e-211.49963160570703e-201
256.97471569632071e-141.39494313926414e-130.99999999999993
262.65254329378230e-135.30508658756459e-130.999999999999735
276.14648531082504e-141.22929706216501e-130.999999999999938
287.02409525082434e-151.40481905016487e-140.999999999999993
296.06805277210957e-161.21361055442191e-151
301.41561501133161e-162.83123002266322e-161
311.36076640137661e-172.72153280275323e-171
321.04172628035482e-132.08345256070965e-130.999999999999896
332.82745026672544e-145.65490053345089e-140.999999999999972
344.62297651344623e-159.24595302689247e-150.999999999999995
358.84032780656132e-161.76806556131226e-151
361.29919502517295e-162.5983900503459e-161
373.05014220559964e-176.10028441119928e-171
381.1654633051363e-172.3309266102726e-171
391.67705386047929e-183.35410772095858e-181
402.38507747691438e-194.77015495382876e-191
413.30068245199539e-206.60136490399077e-201
424.53056180384470e-219.06112360768941e-211
436.04963467486935e-221.20992693497387e-211
448.04849134157286e-231.60969826831457e-221
451.04848784792667e-232.09697569585334e-231
461.33628593583399e-242.67257187166798e-241
472.58859555597789e-255.17719111195577e-251
486.17126168082205e-261.23425233616441e-251
493.41169843305601e-266.82339686611201e-261
501.14897943607257e-252.29795887214515e-251
511.65146975582231e-263.30293951164462e-261
522.67600430119675e-275.35200860239351e-271
534.19385503277168e-288.38771006554337e-281
541.02875272959979e-282.05750545919958e-281
555.01561045571493e-291.00312209114299e-281
566.99792013619728e-301.39958402723946e-291
579.64448421812301e-311.92889684362460e-301
581.34336747087279e-312.68673494174559e-311
591.82898243474555e-323.6579648694911e-321
602.92835638943465e-335.8567127788693e-331
614.88702087551652e-219.77404175103304e-211
622.02932474192425e-154.05864948384849e-150.999999999999998
631.90871500130495e-153.8174300026099e-150.999999999999998
641.39158441426123e-132.78316882852245e-130.99999999999986
657.0979675005069e-141.41959350010138e-130.999999999999929
664.03368079393939e-138.06736158787878e-130.999999999999597
677.17822980648643e-131.43564596129729e-120.999999999999282
688.78934027360984e-131.75786805472197e-120.99999999999912
699.535780265729e-111.9071560531458e-100.999999999904642
709.52514379049844e-101.90502875809969e-090.999999999047486
719.43983826506659e-091.88796765301332e-080.999999990560162
727.36502909901252e-081.47300581980250e-070.999999926349709
736.91933537214261e-071.38386707442852e-060.999999308066463
749.06886668527784e-071.81377333705557e-060.999999093113331
757.81393087058527e-071.56278617411705e-060.999999218606913
765.93220286296272e-071.18644057259254e-060.999999406779714
775.15981596181444e-071.03196319236289e-060.999999484018404
786.12666398185789e-071.22533279637158e-060.999999387333602
795.29581129015916e-071.05916225803183e-060.99999947041887
804.35708520911468e-078.71417041822936e-070.999999564291479
813.25970866729260e-076.51941733458521e-070.999999674029133
822.74915371431553e-075.49830742863106e-070.999999725084629
831.60962096171059e-073.21924192342119e-070.999999839037904
842.02951468923418e-074.05902937846835e-070.999999797048531
852.38362488822154e-074.76724977644308e-070.99999976163751
862.99298295292305e-075.98596590584611e-070.999999700701705
872.39616903465972e-074.79233806931943e-070.999999760383097
881.83308553489261e-073.66617106978522e-070.999999816691447
891.38355538690573e-072.76711077381146e-070.999999861644461
901.16369271549282e-072.32738543098564e-070.999999883630728
911.01897407300851e-072.03794814601701e-070.999999898102593
926.86314462835691e-081.37262892567138e-070.999999931368554
934.61964192628995e-089.2392838525799e-080.99999995380358
943.15333103221241e-086.30666206442482e-080.99999996846669
951.81972364466e-083.63944728932e-080.999999981802764
961.04243723774565e-082.08487447549131e-080.999999989575628
975.99391500558993e-091.19878300111799e-080.999999994006085
983.63680760482167e-097.27361520964334e-090.999999996363192
992.04037016660334e-094.08074033320669e-090.99999999795963
1001.13701445485586e-092.27402890971172e-090.999999998862986
1016.2927274491334e-101.25854548982668e-090.999999999370727
1023.48455382340586e-106.96910764681172e-100.999999999651545
1033.27225475840646e-106.54450951681292e-100.999999999672775
1041.80635983319086e-103.61271966638172e-100.999999999819364
1051.71923636711575e-103.43847273423150e-100.999999999828076
1061.15694151572510e-102.31388303145021e-100.999999999884306
1077.33752565788599e-111.46750513157720e-100.999999999926625
1084.55632069192643e-119.11264138385286e-110.999999999954437
1092.93033172934503e-115.86066345869007e-110.999999999970697
1101.80473168516412e-113.60946337032824e-110.999999999981953
1111.16719476326522e-092.33438952653044e-090.999999998832805
1121.11994591263987e-092.23989182527975e-090.999999998880054
1139.66173173820518e-081.93234634764104e-070.999999903382683
1140.04485694975344160.08971389950688330.955143050246558
1150.4378882468377480.8757764936754960.562111753162252
1160.6687635598445210.6624728803109570.331236440155479
1170.6482550208504560.7034899582990880.351744979149544
1180.6557333664859350.688533267028130.344266633514065
1190.6655218340056320.6689563319887360.334478165994368
1200.668970644994370.6620587100112590.331029355005630
1210.6696146278979910.6607707442040190.330385372102009
1220.6708803167776960.6582393664446080.329119683222304
1230.6577565617171560.6844868765656890.342243438282844
1240.6446545679981830.7106908640036350.355345432001817
1250.6217384291061330.7565231417877350.378261570893868
1260.6008223838908330.7983552322183350.399177616109167
1270.5782233363144270.8435533273711460.421776663685573
1280.5563960390106070.8872079219787860.443603960989393
1290.5268933295426040.9462133409147930.473106670457396
1300.5150049144980980.9699901710038030.484995085501902
1310.5214027074320480.9571945851359050.478597292567952
1320.5143588722047660.9712822555904680.485641127795234
1330.4948594292672740.989718858534550.505140570732726
1340.4754015020615710.9508030041231430.524598497938429
1350.4523812935155910.9047625870311820.547618706484409
1360.4236462076593050.847292415318610.576353792340695
1370.4057560490275340.8115120980550680.594243950972466
1380.377323532682560.754647065365120.62267646731744
1390.3570349323199420.7140698646398840.642965067680058
1400.3576560418396290.7153120836792580.642343958160371
1410.3374155973482360.6748311946964710.662584402651764
1420.3157435159868870.6314870319737740.684256484013113
1430.2962123975563390.5924247951126780.703787602443661
1440.276142351104640.552284702209280.72385764889536
1450.2515916703098960.5031833406197930.748408329690104
1460.2350965596190520.4701931192381050.764903440380948
1470.2190841974622140.4381683949244280.780915802537786
1480.2503322918258160.5006645836516320.749667708174184
1490.2585611870553120.5171223741106230.741438812944688
1500.2611604766295550.5223209532591090.738839523370445
1510.2596024431665310.5192048863330610.740397556833469
1520.2915516958393740.5831033916787470.708448304160626
1530.4709836829181090.9419673658362180.529016317081891
1540.4995100954218880.9990201908437760.500489904578112
1550.5261056112400110.9477887775199780.473894388759989
1560.5106272126293340.9787455747413320.489372787370666
1570.4926533780303960.985306756060790.507346621969604
1580.4771471255965110.9542942511930230.522852874403489
1590.4481899306136280.8963798612272560.551810069386372
1600.4262529016676130.8525058033352260.573747098332387
1610.4041718118464150.8083436236928310.595828188153585
1620.3824247256853330.7648494513706660.617575274314667
1630.3614766416559530.7229532833119050.638523358344047
1640.3395063775071350.6790127550142710.660493622492865
1650.3205162192897670.6410324385795340.679483780710233
1660.3048257053072710.6096514106145410.69517429469273
1670.2884678919162190.5769357838324380.711532108083781
1680.2716460948603290.5432921897206590.72835390513967
1690.2546597609752280.5093195219504570.745340239024772
1700.2399003116561330.4798006233122660.760099688343867
1710.2198886430782470.4397772861564940.780111356921753
1720.2011289521749650.402257904349930.798871047825035
1730.1903874310398750.3807748620797510.809612568960125
1740.1801124907918670.3602249815837330.819887509208133
1750.1619837460250250.323967492050050.838016253974975
1760.1493021679424510.2986043358849030.850697832057549
1770.1359216290795200.2718432581590410.86407837092048
1780.1209767525678730.2419535051357450.879023247432127
1790.1071242843434710.2142485686869420.892875715656529
1800.09447442735893320.1889488547178660.905525572641067
1810.08598020235751440.1719604047150290.914019797642486
1820.07529829677666180.1505965935533240.924701703223338
1830.06726365280547870.1345273056109570.932736347194521
1840.06083041973941120.1216608394788220.939169580260589
1850.0549755358057550.109951071611510.945024464194245
1860.05538468612009550.1107693722401910.944615313879904
1870.0544763088315190.1089526176630380.945523691168481
1880.06423533661092340.1284706732218470.935764663389077
1890.05611054993344970.1122210998668990.94388945006655
1900.06453070531856710.1290614106371340.935469294681433
1910.05947256084252280.1189451216850460.940527439157477
1920.05180423521021140.1036084704204230.948195764789789
1930.04676814273939880.09353628547879760.953231857260601
1940.04273544207181890.08547088414363780.957264557928181
1950.03724758757951960.07449517515903920.96275241242048
1960.03269416316273970.06538832632547930.96730583683726
1970.02897957923778340.05795915847556680.971020420762217
1980.02469532878710890.04939065757421780.97530467121289
1990.02175315263559660.04350630527119310.978246847364403
2000.02230810203108070.04461620406216140.97769189796892
2010.02126542999283590.04253085998567180.978734570007164
2020.02096920206214620.04193840412429250.979030797937854
2030.02073040300426160.04146080600852310.979269596995738
2040.02023692146096890.04047384292193780.979763078539031
2050.01822884252921290.03645768505842570.981771157470787
2060.01790713118883320.03581426237766630.982092868811167
2070.01766692925728750.03533385851457510.982333070742712
2080.01684918921777530.03369837843555050.983150810782225
2090.01429933894356700.02859867788713410.985700661056433
2100.01196151167054140.02392302334108280.988038488329459
2110.01007476569563930.02014953139127850.98992523430436
2120.00848729556136340.01697459112272680.991512704438637
2130.007030094728578930.01406018945715790.992969905271421
2140.00579886066433920.01159772132867840.99420113933566
2150.004762757018696230.009525514037392450.995237242981304
2160.003930156310006440.007860312620012890.996069843689994
2170.003196036075867950.006392072151735890.996803963924132
2180.002746898841097730.005493797682195460.997253101158902
2190.002343119374028690.004686238748057380.997656880625971
2200.001891735652368880.003783471304737770.998108264347631
2210.001664735701662430.003329471403324870.998335264298338
2220.001391692619985080.002783385239970150.998608307380015
2230.001103378559755950.00220675711951190.998896621440244
2240.0009313088474489380.001862617694897880.999068691152551
2250.0009425068787067940.001885013757413590.999057493121293
2260.0009333781347790840.001866756269558170.99906662186522
2270.0009338521880157930.001867704376031590.999066147811984
2280.001316307964821660.002632615929643330.998683692035178
2290.001064111185914290.002128222371828580.998935888814086
2300.0008664306370728260.001732861274145650.999133569362927
2310.000703056972034840.001406113944069680.999296943027965
2320.0005839366320180030.001167873264036010.999416063367982
2330.0005057858952035140.001011571790407030.999494214104796
2340.0004531976555190550.0009063953110381090.99954680234448
2350.0003984103218739190.0007968206437478380.999601589678126
2360.0003545210989044650.000709042197808930.999645478901096
2370.0003359288320041550.000671857664008310.999664071167996
2380.0003231273730424370.0006462547460848740.999676872626958
2390.0002563409000741020.0005126818001482040.999743659099926
2400.0002021125086515890.0004042250173031770.999797887491348
2410.0001568447336878510.0003136894673757010.999843155266312
2420.0001266524124754450.0002533048249508900.999873347587525
2439.88852540229855e-050.0001977705080459710.999901114745977
2447.59977286194214e-050.0001519954572388430.99992400227138
2456.35337377946051e-050.0001270674755892100.999936466262205
2460.003172013392764790.006344026785529580.996827986607235
2470.004665120947134150.009330241894268310.995334879052866
2480.0638895360359810.1277790720719620.936110463964019
2490.1124853796446460.2249707592892930.887514620355354
2500.1137122934281740.2274245868563480.886287706571826
2510.1330695120825920.2661390241651840.866930487917408
2520.126296796591050.25259359318210.87370320340895
2530.1374360995108090.2748721990216190.86256390048919
2540.1273771286682890.2547542573365780.87262287133171
2550.1180217255667960.2360434511335920.881978274433204
2560.1093655278453550.2187310556907100.890634472154645
2570.09941334266366130.1988266853273230.900586657336339
2580.0933323843424750.186664768684950.906667615657525
2590.08926089002612470.1785217800522490.910739109973875
2600.0795920995137350.159184199027470.920407900486265
2610.0702251312236610.1404502624473220.929774868776339
2620.06115705201954970.1223141040390990.93884294798045
2630.05407622473389260.1081524494677850.945923775266107
2640.04707427217997610.09414854435995220.952925727820024
2650.04134409186571700.08268818373143410.958655908134283
2660.03651182732173680.07302365464347360.963488172678263
2670.03247026868250720.06494053736501430.967529731317493
2680.0282851648308360.0565703296616720.971714835169164
2690.02472423927221230.04944847854442460.975275760727788
2700.02093934764278660.04187869528557330.979060652357213
2710.01766883659061450.0353376731812290.982331163409386
2720.01477032514992800.02954065029985610.985229674850072
2730.01231428602178180.02462857204356370.987685713978218
2740.01061616230252330.02123232460504660.989383837697477
2750.01063336783248180.02126673566496350.989366632167518
2760.01193332615533780.02386665231067550.988066673844662
2770.01265778967251530.02531557934503060.987342210327485
2780.01073153234240080.02146306468480170.9892684676576
2790.009175396827456340.01835079365491270.990824603172544
2800.007666966018888340.01533393203777670.992333033981112
2810.00631963675300980.01263927350601960.99368036324699
2820.0051803164024210.0103606328048420.99481968359758
2830.004215215534368020.008430431068736040.995784784465632
2840.007336003921423850.01467200784284770.992663996078576
2850.006110678365215450.01222135673043090.993889321634785
2860.793957205907730.4120855881845410.206042794092271
2870.806816198290760.3863676034184810.193183801709240
2880.817774993434140.3644500131317210.182225006565860
2890.8289467011893050.3421065976213900.171053298810695
2900.8416056459270620.3167887081458760.158394354072938
2910.8558233262314140.2883533475371720.144176673768586
2920.9019194118832280.1961611762335450.0980805881167725
2930.9152172209797680.1695655580404640.0847827790202322
2940.9064469995787180.1871060008425630.0935530004212815
2950.8977792372845580.2044415254308840.102220762715442
2960.8907474031093450.218505193781310.109252596890655
2970.8832936645798130.2334126708403750.116706335420187
2980.8767082836446520.2465834327106960.123291716355348
2990.8699307108676910.2601385782646190.130069289132309
3000.8642541737159340.2714916525681320.135745826284066
3010.8609807252468080.2780385495063840.139019274753192
3020.9657727090865280.06845458182694380.0342272909134719
3030.9606832962131350.07863340757372910.0393167037868646
3040.9547957731760490.09040845364790210.0452042268239511
3050.9488517385769820.1022965228460360.0511482614230182
3060.9411006051959170.1177987896081660.0588993948040832
3070.9327273267817340.1345453464365320.0672726732182659
3080.9216662887342010.1566674225315970.0783337112657987
3090.9125355306322580.1749289387354850.0874644693677424
3100.89911202803970.2017759439206000.100887971960300
3110.8849359277111730.2301281445776550.115064072288827
3120.875106286032750.2497874279344990.124893713967250
3130.8726133194524830.2547733610950350.127386680547517
3140.8777899792743520.2444200414512950.122210020725648
3150.888365937776480.2232681244470390.111634062223520
3160.9069520401896950.186095919620610.093047959810305
3170.8949043430780520.2101913138438960.105095656921948
3180.9065126088822460.1869747822355080.093487391117754
3190.8926153064243180.2147693871513640.107384693575682
3200.877869487813820.2442610243723590.122130512186180
3210.8612949514246290.2774100971507430.138705048575371
3220.8436951879527450.3126096240945090.156304812047255
3230.8238194896224880.3523610207550240.176180510377512
3240.8892046551005620.2215906897988760.110795344899438
3250.8854675978232020.2290648043535950.114532402176798
3260.8893987736878960.2212024526242090.110601226312104
3270.8756321812605880.2487356374788240.124367818739412
3280.8604859619819370.2790280760361260.139514038018063
3290.8578912161108780.2842175677782440.142108783889122
3300.854409827594480.2911803448110390.145590172405519
3310.8718694034084430.2562611931831140.128130596591557
3320.8837911959645730.2324176080708540.116208804035427
3330.8707130811725090.2585738376549820.129286918827491
3340.8580229707025010.2839540585949980.141977029297499
3350.8397687720845190.3204624558309630.160231227915481
3360.8217499882007660.3565000235984680.178250011799234
3370.809451649514040.3810967009719220.190548350485961
3380.8519266223358260.2961467553283490.148073377664174
3390.8391940932600920.3216118134798160.160805906739908
3400.8163217639571880.3673564720856250.183678236042812
3410.7931108096322850.4137783807354310.206889190367715
3420.7900348049224020.4199303901551970.209965195077599
3430.7962738139663410.4074523720673170.203726186033659
3440.80918629397770.38162741204460.1908137060223
3450.8226719905022870.3546560189954260.177328009497713
3460.8326796399475930.3346407201048140.167320360052407
3470.844773353079510.3104532938409810.155226646920490
3480.8554059806046640.2891880387906730.144594019395336
3490.8685560172283630.2628879655432740.131443982771637
3500.880516834160390.2389663316792200.119483165839610
3510.8654353752227280.2691292495545440.134564624777272
3520.8543432689091360.2913134621817280.145656731090864
3530.8393929003449970.3212141993100060.160607099655003
3540.8289074081527610.3421851836944780.171092591847239
3550.8109526507111690.3780946985776630.189047349288831
3560.7959265113186560.4081469773626870.204073488681344
3570.7945320111477820.4109359777044360.205467988852218
3580.8438948463315050.312210307336990.156105153668495
3590.999999999958058.38980945802218e-114.19490472901109e-11
3600.999999999999637.38987899494074e-133.69493949747037e-13
36112.86016758376354e-181.43008379188177e-18
36218.65572621073116e-184.32786310536558e-18
36312.5661807984166e-171.2830903992083e-17
36417.57490819758993e-173.78745409879497e-17
36512.25284705529945e-161.12642352764973e-16
36615.41215075570288e-162.70607537785144e-16
36711.58118938083416e-157.9059469041708e-16
3680.9999999999999984.60068422281152e-152.30034211140576e-15
3690.9999999999999931.31693557326646e-146.5846778663323e-15
3700.9999999999999813.7763035474985e-141.88815177374925e-14
3710.9999999999999471.05922912246442e-135.29614561232212e-14
3720.9999999999999549.21182826864337e-144.60591413432168e-14
3730.9999999999998662.6787590875552e-131.3393795437776e-13
3740.999999999999637.38885844014718e-133.69442922007359e-13
3750.999999999998992.01869748102756e-121.00934874051378e-12
3760.9999999999971635.67396273350473e-122.83698136675236e-12
3770.9999999999959578.08625106454608e-124.04312553227304e-12
3780.9999999999958938.21339257226618e-124.10669628613309e-12
3790.999999999990611.87812941254137e-119.39064706270686e-12
3800.9999999999748045.0391512732085e-112.51957563660425e-11
3810.9999999999345981.30804822064456e-106.54024110322280e-11
3820.9999999998591022.81795733151135e-101.40897866575567e-10
3830.9999999996633776.73246340343422e-103.36623170171711e-10
3840.999999999541169.17681711021308e-104.58840855510654e-10
3850.9999999988069132.38617451971952e-091.19308725985976e-09
3860.9999999980927433.81451443663942e-091.90725721831971e-09
3870.9999999962646057.47079040418604e-093.73539520209302e-09
3880.9999999965890126.8219756403164e-093.4109878201582e-09
3890.9999999989518552.09629065447822e-091.04814532723911e-09
3900.9999999999997634.74496670865694e-132.37248335432847e-13
39111.66571705278838e-178.3285852639419e-18
39212.85002698169299e-221.42501349084649e-22
39311.83680712635691e-219.18403563178455e-22
39411.40156688691996e-207.0078344345998e-21
39511.21437802948208e-196.07189014741041e-20
39611.17648999732829e-185.88244998664145e-19
39711.34133498738152e-186.70667493690761e-19
39817.2158576353554e-213.6079288176777e-21
39914.51387167497089e-272.25693583748545e-27
40011.36992337246196e-256.84961686230978e-26
40113.4753119683561e-241.73765598417805e-24
40219.90703235163227e-234.95351617581613e-23
40312.61817756189142e-211.30908878094571e-21
40414.11377574378064e-202.05688787189032e-20
40511.23754764785196e-186.18773823925978e-19
40613.22008384513139e-171.61004192256570e-17
40717.60181562143376e-163.80090781071688e-16
4080.9999999999999951.02989521558041e-145.14947607790203e-15
4090.99999999999991.98905958449261e-139.94529792246305e-14
4100.9999999999971685.66458883415186e-122.83229441707593e-12
4110.9999999999240971.51806226300605e-107.59031131503023e-11
4120.9999999982601583.47968307102797e-091.73984153551398e-09
4130.9999999812033513.75932972839931e-081.87966486419966e-08
4140.9999997245191955.50961609470386e-072.75480804735193e-07
4150.9999926576354961.46847290082893e-057.34236450414467e-06
4160.999934061233890.0001318775322184456.59387661092227e-05

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
15 & 8.1603696494877e-12 & 1.63207392989754e-11 & 0.99999999999184 \tabularnewline
16 & 2.07001173694949e-15 & 4.14002347389899e-15 & 0.999999999999998 \tabularnewline
17 & 6.35233528526388e-19 & 1.27046705705278e-18 & 1 \tabularnewline
18 & 1.17117506071356e-22 & 2.34235012142712e-22 & 1 \tabularnewline
19 & 2.13899258811303e-26 & 4.27798517622607e-26 & 1 \tabularnewline
20 & 3.54024371705851e-30 & 7.08048743411702e-30 & 1 \tabularnewline
21 & 7.92681309948923e-34 & 1.58536261989785e-33 & 1 \tabularnewline
22 & 2.79073996956707e-37 & 5.58147993913414e-37 & 1 \tabularnewline
23 & 3.50442602852982e-20 & 7.00885205705964e-20 & 1 \tabularnewline
24 & 7.49815802853514e-21 & 1.49963160570703e-20 & 1 \tabularnewline
25 & 6.97471569632071e-14 & 1.39494313926414e-13 & 0.99999999999993 \tabularnewline
26 & 2.65254329378230e-13 & 5.30508658756459e-13 & 0.999999999999735 \tabularnewline
27 & 6.14648531082504e-14 & 1.22929706216501e-13 & 0.999999999999938 \tabularnewline
28 & 7.02409525082434e-15 & 1.40481905016487e-14 & 0.999999999999993 \tabularnewline
29 & 6.06805277210957e-16 & 1.21361055442191e-15 & 1 \tabularnewline
30 & 1.41561501133161e-16 & 2.83123002266322e-16 & 1 \tabularnewline
31 & 1.36076640137661e-17 & 2.72153280275323e-17 & 1 \tabularnewline
32 & 1.04172628035482e-13 & 2.08345256070965e-13 & 0.999999999999896 \tabularnewline
33 & 2.82745026672544e-14 & 5.65490053345089e-14 & 0.999999999999972 \tabularnewline
34 & 4.62297651344623e-15 & 9.24595302689247e-15 & 0.999999999999995 \tabularnewline
35 & 8.84032780656132e-16 & 1.76806556131226e-15 & 1 \tabularnewline
36 & 1.29919502517295e-16 & 2.5983900503459e-16 & 1 \tabularnewline
37 & 3.05014220559964e-17 & 6.10028441119928e-17 & 1 \tabularnewline
38 & 1.1654633051363e-17 & 2.3309266102726e-17 & 1 \tabularnewline
39 & 1.67705386047929e-18 & 3.35410772095858e-18 & 1 \tabularnewline
40 & 2.38507747691438e-19 & 4.77015495382876e-19 & 1 \tabularnewline
41 & 3.30068245199539e-20 & 6.60136490399077e-20 & 1 \tabularnewline
42 & 4.53056180384470e-21 & 9.06112360768941e-21 & 1 \tabularnewline
43 & 6.04963467486935e-22 & 1.20992693497387e-21 & 1 \tabularnewline
44 & 8.04849134157286e-23 & 1.60969826831457e-22 & 1 \tabularnewline
45 & 1.04848784792667e-23 & 2.09697569585334e-23 & 1 \tabularnewline
46 & 1.33628593583399e-24 & 2.67257187166798e-24 & 1 \tabularnewline
47 & 2.58859555597789e-25 & 5.17719111195577e-25 & 1 \tabularnewline
48 & 6.17126168082205e-26 & 1.23425233616441e-25 & 1 \tabularnewline
49 & 3.41169843305601e-26 & 6.82339686611201e-26 & 1 \tabularnewline
50 & 1.14897943607257e-25 & 2.29795887214515e-25 & 1 \tabularnewline
51 & 1.65146975582231e-26 & 3.30293951164462e-26 & 1 \tabularnewline
52 & 2.67600430119675e-27 & 5.35200860239351e-27 & 1 \tabularnewline
53 & 4.19385503277168e-28 & 8.38771006554337e-28 & 1 \tabularnewline
54 & 1.02875272959979e-28 & 2.05750545919958e-28 & 1 \tabularnewline
55 & 5.01561045571493e-29 & 1.00312209114299e-28 & 1 \tabularnewline
56 & 6.99792013619728e-30 & 1.39958402723946e-29 & 1 \tabularnewline
57 & 9.64448421812301e-31 & 1.92889684362460e-30 & 1 \tabularnewline
58 & 1.34336747087279e-31 & 2.68673494174559e-31 & 1 \tabularnewline
59 & 1.82898243474555e-32 & 3.6579648694911e-32 & 1 \tabularnewline
60 & 2.92835638943465e-33 & 5.8567127788693e-33 & 1 \tabularnewline
61 & 4.88702087551652e-21 & 9.77404175103304e-21 & 1 \tabularnewline
62 & 2.02932474192425e-15 & 4.05864948384849e-15 & 0.999999999999998 \tabularnewline
63 & 1.90871500130495e-15 & 3.8174300026099e-15 & 0.999999999999998 \tabularnewline
64 & 1.39158441426123e-13 & 2.78316882852245e-13 & 0.99999999999986 \tabularnewline
65 & 7.0979675005069e-14 & 1.41959350010138e-13 & 0.999999999999929 \tabularnewline
66 & 4.03368079393939e-13 & 8.06736158787878e-13 & 0.999999999999597 \tabularnewline
67 & 7.17822980648643e-13 & 1.43564596129729e-12 & 0.999999999999282 \tabularnewline
68 & 8.78934027360984e-13 & 1.75786805472197e-12 & 0.99999999999912 \tabularnewline
69 & 9.535780265729e-11 & 1.9071560531458e-10 & 0.999999999904642 \tabularnewline
70 & 9.52514379049844e-10 & 1.90502875809969e-09 & 0.999999999047486 \tabularnewline
71 & 9.43983826506659e-09 & 1.88796765301332e-08 & 0.999999990560162 \tabularnewline
72 & 7.36502909901252e-08 & 1.47300581980250e-07 & 0.999999926349709 \tabularnewline
73 & 6.91933537214261e-07 & 1.38386707442852e-06 & 0.999999308066463 \tabularnewline
74 & 9.06886668527784e-07 & 1.81377333705557e-06 & 0.999999093113331 \tabularnewline
75 & 7.81393087058527e-07 & 1.56278617411705e-06 & 0.999999218606913 \tabularnewline
76 & 5.93220286296272e-07 & 1.18644057259254e-06 & 0.999999406779714 \tabularnewline
77 & 5.15981596181444e-07 & 1.03196319236289e-06 & 0.999999484018404 \tabularnewline
78 & 6.12666398185789e-07 & 1.22533279637158e-06 & 0.999999387333602 \tabularnewline
79 & 5.29581129015916e-07 & 1.05916225803183e-06 & 0.99999947041887 \tabularnewline
80 & 4.35708520911468e-07 & 8.71417041822936e-07 & 0.999999564291479 \tabularnewline
81 & 3.25970866729260e-07 & 6.51941733458521e-07 & 0.999999674029133 \tabularnewline
82 & 2.74915371431553e-07 & 5.49830742863106e-07 & 0.999999725084629 \tabularnewline
83 & 1.60962096171059e-07 & 3.21924192342119e-07 & 0.999999839037904 \tabularnewline
84 & 2.02951468923418e-07 & 4.05902937846835e-07 & 0.999999797048531 \tabularnewline
85 & 2.38362488822154e-07 & 4.76724977644308e-07 & 0.99999976163751 \tabularnewline
86 & 2.99298295292305e-07 & 5.98596590584611e-07 & 0.999999700701705 \tabularnewline
87 & 2.39616903465972e-07 & 4.79233806931943e-07 & 0.999999760383097 \tabularnewline
88 & 1.83308553489261e-07 & 3.66617106978522e-07 & 0.999999816691447 \tabularnewline
89 & 1.38355538690573e-07 & 2.76711077381146e-07 & 0.999999861644461 \tabularnewline
90 & 1.16369271549282e-07 & 2.32738543098564e-07 & 0.999999883630728 \tabularnewline
91 & 1.01897407300851e-07 & 2.03794814601701e-07 & 0.999999898102593 \tabularnewline
92 & 6.86314462835691e-08 & 1.37262892567138e-07 & 0.999999931368554 \tabularnewline
93 & 4.61964192628995e-08 & 9.2392838525799e-08 & 0.99999995380358 \tabularnewline
94 & 3.15333103221241e-08 & 6.30666206442482e-08 & 0.99999996846669 \tabularnewline
95 & 1.81972364466e-08 & 3.63944728932e-08 & 0.999999981802764 \tabularnewline
96 & 1.04243723774565e-08 & 2.08487447549131e-08 & 0.999999989575628 \tabularnewline
97 & 5.99391500558993e-09 & 1.19878300111799e-08 & 0.999999994006085 \tabularnewline
98 & 3.63680760482167e-09 & 7.27361520964334e-09 & 0.999999996363192 \tabularnewline
99 & 2.04037016660334e-09 & 4.08074033320669e-09 & 0.99999999795963 \tabularnewline
100 & 1.13701445485586e-09 & 2.27402890971172e-09 & 0.999999998862986 \tabularnewline
101 & 6.2927274491334e-10 & 1.25854548982668e-09 & 0.999999999370727 \tabularnewline
102 & 3.48455382340586e-10 & 6.96910764681172e-10 & 0.999999999651545 \tabularnewline
103 & 3.27225475840646e-10 & 6.54450951681292e-10 & 0.999999999672775 \tabularnewline
104 & 1.80635983319086e-10 & 3.61271966638172e-10 & 0.999999999819364 \tabularnewline
105 & 1.71923636711575e-10 & 3.43847273423150e-10 & 0.999999999828076 \tabularnewline
106 & 1.15694151572510e-10 & 2.31388303145021e-10 & 0.999999999884306 \tabularnewline
107 & 7.33752565788599e-11 & 1.46750513157720e-10 & 0.999999999926625 \tabularnewline
108 & 4.55632069192643e-11 & 9.11264138385286e-11 & 0.999999999954437 \tabularnewline
109 & 2.93033172934503e-11 & 5.86066345869007e-11 & 0.999999999970697 \tabularnewline
110 & 1.80473168516412e-11 & 3.60946337032824e-11 & 0.999999999981953 \tabularnewline
111 & 1.16719476326522e-09 & 2.33438952653044e-09 & 0.999999998832805 \tabularnewline
112 & 1.11994591263987e-09 & 2.23989182527975e-09 & 0.999999998880054 \tabularnewline
113 & 9.66173173820518e-08 & 1.93234634764104e-07 & 0.999999903382683 \tabularnewline
114 & 0.0448569497534416 & 0.0897138995068833 & 0.955143050246558 \tabularnewline
115 & 0.437888246837748 & 0.875776493675496 & 0.562111753162252 \tabularnewline
116 & 0.668763559844521 & 0.662472880310957 & 0.331236440155479 \tabularnewline
117 & 0.648255020850456 & 0.703489958299088 & 0.351744979149544 \tabularnewline
118 & 0.655733366485935 & 0.68853326702813 & 0.344266633514065 \tabularnewline
119 & 0.665521834005632 & 0.668956331988736 & 0.334478165994368 \tabularnewline
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340 & 0.816321763957188 & 0.367356472085625 & 0.183678236042812 \tabularnewline
341 & 0.793110809632285 & 0.413778380735431 & 0.206889190367715 \tabularnewline
342 & 0.790034804922402 & 0.419930390155197 & 0.209965195077599 \tabularnewline
343 & 0.796273813966341 & 0.407452372067317 & 0.203726186033659 \tabularnewline
344 & 0.8091862939777 & 0.3816274120446 & 0.1908137060223 \tabularnewline
345 & 0.822671990502287 & 0.354656018995426 & 0.177328009497713 \tabularnewline
346 & 0.832679639947593 & 0.334640720104814 & 0.167320360052407 \tabularnewline
347 & 0.84477335307951 & 0.310453293840981 & 0.155226646920490 \tabularnewline
348 & 0.855405980604664 & 0.289188038790673 & 0.144594019395336 \tabularnewline
349 & 0.868556017228363 & 0.262887965543274 & 0.131443982771637 \tabularnewline
350 & 0.88051683416039 & 0.238966331679220 & 0.119483165839610 \tabularnewline
351 & 0.865435375222728 & 0.269129249554544 & 0.134564624777272 \tabularnewline
352 & 0.854343268909136 & 0.291313462181728 & 0.145656731090864 \tabularnewline
353 & 0.839392900344997 & 0.321214199310006 & 0.160607099655003 \tabularnewline
354 & 0.828907408152761 & 0.342185183694478 & 0.171092591847239 \tabularnewline
355 & 0.810952650711169 & 0.378094698577663 & 0.189047349288831 \tabularnewline
356 & 0.795926511318656 & 0.408146977362687 & 0.204073488681344 \tabularnewline
357 & 0.794532011147782 & 0.410935977704436 & 0.205467988852218 \tabularnewline
358 & 0.843894846331505 & 0.31221030733699 & 0.156105153668495 \tabularnewline
359 & 0.99999999995805 & 8.38980945802218e-11 & 4.19490472901109e-11 \tabularnewline
360 & 0.99999999999963 & 7.38987899494074e-13 & 3.69493949747037e-13 \tabularnewline
361 & 1 & 2.86016758376354e-18 & 1.43008379188177e-18 \tabularnewline
362 & 1 & 8.65572621073116e-18 & 4.32786310536558e-18 \tabularnewline
363 & 1 & 2.5661807984166e-17 & 1.2830903992083e-17 \tabularnewline
364 & 1 & 7.57490819758993e-17 & 3.78745409879497e-17 \tabularnewline
365 & 1 & 2.25284705529945e-16 & 1.12642352764973e-16 \tabularnewline
366 & 1 & 5.41215075570288e-16 & 2.70607537785144e-16 \tabularnewline
367 & 1 & 1.58118938083416e-15 & 7.9059469041708e-16 \tabularnewline
368 & 0.999999999999998 & 4.60068422281152e-15 & 2.30034211140576e-15 \tabularnewline
369 & 0.999999999999993 & 1.31693557326646e-14 & 6.5846778663323e-15 \tabularnewline
370 & 0.999999999999981 & 3.7763035474985e-14 & 1.88815177374925e-14 \tabularnewline
371 & 0.999999999999947 & 1.05922912246442e-13 & 5.29614561232212e-14 \tabularnewline
372 & 0.999999999999954 & 9.21182826864337e-14 & 4.60591413432168e-14 \tabularnewline
373 & 0.999999999999866 & 2.6787590875552e-13 & 1.3393795437776e-13 \tabularnewline
374 & 0.99999999999963 & 7.38885844014718e-13 & 3.69442922007359e-13 \tabularnewline
375 & 0.99999999999899 & 2.01869748102756e-12 & 1.00934874051378e-12 \tabularnewline
376 & 0.999999999997163 & 5.67396273350473e-12 & 2.83698136675236e-12 \tabularnewline
377 & 0.999999999995957 & 8.08625106454608e-12 & 4.04312553227304e-12 \tabularnewline
378 & 0.999999999995893 & 8.21339257226618e-12 & 4.10669628613309e-12 \tabularnewline
379 & 0.99999999999061 & 1.87812941254137e-11 & 9.39064706270686e-12 \tabularnewline
380 & 0.999999999974804 & 5.0391512732085e-11 & 2.51957563660425e-11 \tabularnewline
381 & 0.999999999934598 & 1.30804822064456e-10 & 6.54024110322280e-11 \tabularnewline
382 & 0.999999999859102 & 2.81795733151135e-10 & 1.40897866575567e-10 \tabularnewline
383 & 0.999999999663377 & 6.73246340343422e-10 & 3.36623170171711e-10 \tabularnewline
384 & 0.99999999954116 & 9.17681711021308e-10 & 4.58840855510654e-10 \tabularnewline
385 & 0.999999998806913 & 2.38617451971952e-09 & 1.19308725985976e-09 \tabularnewline
386 & 0.999999998092743 & 3.81451443663942e-09 & 1.90725721831971e-09 \tabularnewline
387 & 0.999999996264605 & 7.47079040418604e-09 & 3.73539520209302e-09 \tabularnewline
388 & 0.999999996589012 & 6.8219756403164e-09 & 3.4109878201582e-09 \tabularnewline
389 & 0.999999998951855 & 2.09629065447822e-09 & 1.04814532723911e-09 \tabularnewline
390 & 0.999999999999763 & 4.74496670865694e-13 & 2.37248335432847e-13 \tabularnewline
391 & 1 & 1.66571705278838e-17 & 8.3285852639419e-18 \tabularnewline
392 & 1 & 2.85002698169299e-22 & 1.42501349084649e-22 \tabularnewline
393 & 1 & 1.83680712635691e-21 & 9.18403563178455e-22 \tabularnewline
394 & 1 & 1.40156688691996e-20 & 7.0078344345998e-21 \tabularnewline
395 & 1 & 1.21437802948208e-19 & 6.07189014741041e-20 \tabularnewline
396 & 1 & 1.17648999732829e-18 & 5.88244998664145e-19 \tabularnewline
397 & 1 & 1.34133498738152e-18 & 6.70667493690761e-19 \tabularnewline
398 & 1 & 7.2158576353554e-21 & 3.6079288176777e-21 \tabularnewline
399 & 1 & 4.51387167497089e-27 & 2.25693583748545e-27 \tabularnewline
400 & 1 & 1.36992337246196e-25 & 6.84961686230978e-26 \tabularnewline
401 & 1 & 3.4753119683561e-24 & 1.73765598417805e-24 \tabularnewline
402 & 1 & 9.90703235163227e-23 & 4.95351617581613e-23 \tabularnewline
403 & 1 & 2.61817756189142e-21 & 1.30908878094571e-21 \tabularnewline
404 & 1 & 4.11377574378064e-20 & 2.05688787189032e-20 \tabularnewline
405 & 1 & 1.23754764785196e-18 & 6.18773823925978e-19 \tabularnewline
406 & 1 & 3.22008384513139e-17 & 1.61004192256570e-17 \tabularnewline
407 & 1 & 7.60181562143376e-16 & 3.80090781071688e-16 \tabularnewline
408 & 0.999999999999995 & 1.02989521558041e-14 & 5.14947607790203e-15 \tabularnewline
409 & 0.9999999999999 & 1.98905958449261e-13 & 9.94529792246305e-14 \tabularnewline
410 & 0.999999999997168 & 5.66458883415186e-12 & 2.83229441707593e-12 \tabularnewline
411 & 0.999999999924097 & 1.51806226300605e-10 & 7.59031131503023e-11 \tabularnewline
412 & 0.999999998260158 & 3.47968307102797e-09 & 1.73984153551398e-09 \tabularnewline
413 & 0.999999981203351 & 3.75932972839931e-08 & 1.87966486419966e-08 \tabularnewline
414 & 0.999999724519195 & 5.50961609470386e-07 & 2.75480804735193e-07 \tabularnewline
415 & 0.999992657635496 & 1.46847290082893e-05 & 7.34236450414467e-06 \tabularnewline
416 & 0.99993406123389 & 0.000131877532218445 & 6.59387661092227e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104710&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]15[/C][C]8.1603696494877e-12[/C][C]1.63207392989754e-11[/C][C]0.99999999999184[/C][/ROW]
[ROW][C]16[/C][C]2.07001173694949e-15[/C][C]4.14002347389899e-15[/C][C]0.999999999999998[/C][/ROW]
[ROW][C]17[/C][C]6.35233528526388e-19[/C][C]1.27046705705278e-18[/C][C]1[/C][/ROW]
[ROW][C]18[/C][C]1.17117506071356e-22[/C][C]2.34235012142712e-22[/C][C]1[/C][/ROW]
[ROW][C]19[/C][C]2.13899258811303e-26[/C][C]4.27798517622607e-26[/C][C]1[/C][/ROW]
[ROW][C]20[/C][C]3.54024371705851e-30[/C][C]7.08048743411702e-30[/C][C]1[/C][/ROW]
[ROW][C]21[/C][C]7.92681309948923e-34[/C][C]1.58536261989785e-33[/C][C]1[/C][/ROW]
[ROW][C]22[/C][C]2.79073996956707e-37[/C][C]5.58147993913414e-37[/C][C]1[/C][/ROW]
[ROW][C]23[/C][C]3.50442602852982e-20[/C][C]7.00885205705964e-20[/C][C]1[/C][/ROW]
[ROW][C]24[/C][C]7.49815802853514e-21[/C][C]1.49963160570703e-20[/C][C]1[/C][/ROW]
[ROW][C]25[/C][C]6.97471569632071e-14[/C][C]1.39494313926414e-13[/C][C]0.99999999999993[/C][/ROW]
[ROW][C]26[/C][C]2.65254329378230e-13[/C][C]5.30508658756459e-13[/C][C]0.999999999999735[/C][/ROW]
[ROW][C]27[/C][C]6.14648531082504e-14[/C][C]1.22929706216501e-13[/C][C]0.999999999999938[/C][/ROW]
[ROW][C]28[/C][C]7.02409525082434e-15[/C][C]1.40481905016487e-14[/C][C]0.999999999999993[/C][/ROW]
[ROW][C]29[/C][C]6.06805277210957e-16[/C][C]1.21361055442191e-15[/C][C]1[/C][/ROW]
[ROW][C]30[/C][C]1.41561501133161e-16[/C][C]2.83123002266322e-16[/C][C]1[/C][/ROW]
[ROW][C]31[/C][C]1.36076640137661e-17[/C][C]2.72153280275323e-17[/C][C]1[/C][/ROW]
[ROW][C]32[/C][C]1.04172628035482e-13[/C][C]2.08345256070965e-13[/C][C]0.999999999999896[/C][/ROW]
[ROW][C]33[/C][C]2.82745026672544e-14[/C][C]5.65490053345089e-14[/C][C]0.999999999999972[/C][/ROW]
[ROW][C]34[/C][C]4.62297651344623e-15[/C][C]9.24595302689247e-15[/C][C]0.999999999999995[/C][/ROW]
[ROW][C]35[/C][C]8.84032780656132e-16[/C][C]1.76806556131226e-15[/C][C]1[/C][/ROW]
[ROW][C]36[/C][C]1.29919502517295e-16[/C][C]2.5983900503459e-16[/C][C]1[/C][/ROW]
[ROW][C]37[/C][C]3.05014220559964e-17[/C][C]6.10028441119928e-17[/C][C]1[/C][/ROW]
[ROW][C]38[/C][C]1.1654633051363e-17[/C][C]2.3309266102726e-17[/C][C]1[/C][/ROW]
[ROW][C]39[/C][C]1.67705386047929e-18[/C][C]3.35410772095858e-18[/C][C]1[/C][/ROW]
[ROW][C]40[/C][C]2.38507747691438e-19[/C][C]4.77015495382876e-19[/C][C]1[/C][/ROW]
[ROW][C]41[/C][C]3.30068245199539e-20[/C][C]6.60136490399077e-20[/C][C]1[/C][/ROW]
[ROW][C]42[/C][C]4.53056180384470e-21[/C][C]9.06112360768941e-21[/C][C]1[/C][/ROW]
[ROW][C]43[/C][C]6.04963467486935e-22[/C][C]1.20992693497387e-21[/C][C]1[/C][/ROW]
[ROW][C]44[/C][C]8.04849134157286e-23[/C][C]1.60969826831457e-22[/C][C]1[/C][/ROW]
[ROW][C]45[/C][C]1.04848784792667e-23[/C][C]2.09697569585334e-23[/C][C]1[/C][/ROW]
[ROW][C]46[/C][C]1.33628593583399e-24[/C][C]2.67257187166798e-24[/C][C]1[/C][/ROW]
[ROW][C]47[/C][C]2.58859555597789e-25[/C][C]5.17719111195577e-25[/C][C]1[/C][/ROW]
[ROW][C]48[/C][C]6.17126168082205e-26[/C][C]1.23425233616441e-25[/C][C]1[/C][/ROW]
[ROW][C]49[/C][C]3.41169843305601e-26[/C][C]6.82339686611201e-26[/C][C]1[/C][/ROW]
[ROW][C]50[/C][C]1.14897943607257e-25[/C][C]2.29795887214515e-25[/C][C]1[/C][/ROW]
[ROW][C]51[/C][C]1.65146975582231e-26[/C][C]3.30293951164462e-26[/C][C]1[/C][/ROW]
[ROW][C]52[/C][C]2.67600430119675e-27[/C][C]5.35200860239351e-27[/C][C]1[/C][/ROW]
[ROW][C]53[/C][C]4.19385503277168e-28[/C][C]8.38771006554337e-28[/C][C]1[/C][/ROW]
[ROW][C]54[/C][C]1.02875272959979e-28[/C][C]2.05750545919958e-28[/C][C]1[/C][/ROW]
[ROW][C]55[/C][C]5.01561045571493e-29[/C][C]1.00312209114299e-28[/C][C]1[/C][/ROW]
[ROW][C]56[/C][C]6.99792013619728e-30[/C][C]1.39958402723946e-29[/C][C]1[/C][/ROW]
[ROW][C]57[/C][C]9.64448421812301e-31[/C][C]1.92889684362460e-30[/C][C]1[/C][/ROW]
[ROW][C]58[/C][C]1.34336747087279e-31[/C][C]2.68673494174559e-31[/C][C]1[/C][/ROW]
[ROW][C]59[/C][C]1.82898243474555e-32[/C][C]3.6579648694911e-32[/C][C]1[/C][/ROW]
[ROW][C]60[/C][C]2.92835638943465e-33[/C][C]5.8567127788693e-33[/C][C]1[/C][/ROW]
[ROW][C]61[/C][C]4.88702087551652e-21[/C][C]9.77404175103304e-21[/C][C]1[/C][/ROW]
[ROW][C]62[/C][C]2.02932474192425e-15[/C][C]4.05864948384849e-15[/C][C]0.999999999999998[/C][/ROW]
[ROW][C]63[/C][C]1.90871500130495e-15[/C][C]3.8174300026099e-15[/C][C]0.999999999999998[/C][/ROW]
[ROW][C]64[/C][C]1.39158441426123e-13[/C][C]2.78316882852245e-13[/C][C]0.99999999999986[/C][/ROW]
[ROW][C]65[/C][C]7.0979675005069e-14[/C][C]1.41959350010138e-13[/C][C]0.999999999999929[/C][/ROW]
[ROW][C]66[/C][C]4.03368079393939e-13[/C][C]8.06736158787878e-13[/C][C]0.999999999999597[/C][/ROW]
[ROW][C]67[/C][C]7.17822980648643e-13[/C][C]1.43564596129729e-12[/C][C]0.999999999999282[/C][/ROW]
[ROW][C]68[/C][C]8.78934027360984e-13[/C][C]1.75786805472197e-12[/C][C]0.99999999999912[/C][/ROW]
[ROW][C]69[/C][C]9.535780265729e-11[/C][C]1.9071560531458e-10[/C][C]0.999999999904642[/C][/ROW]
[ROW][C]70[/C][C]9.52514379049844e-10[/C][C]1.90502875809969e-09[/C][C]0.999999999047486[/C][/ROW]
[ROW][C]71[/C][C]9.43983826506659e-09[/C][C]1.88796765301332e-08[/C][C]0.999999990560162[/C][/ROW]
[ROW][C]72[/C][C]7.36502909901252e-08[/C][C]1.47300581980250e-07[/C][C]0.999999926349709[/C][/ROW]
[ROW][C]73[/C][C]6.91933537214261e-07[/C][C]1.38386707442852e-06[/C][C]0.999999308066463[/C][/ROW]
[ROW][C]74[/C][C]9.06886668527784e-07[/C][C]1.81377333705557e-06[/C][C]0.999999093113331[/C][/ROW]
[ROW][C]75[/C][C]7.81393087058527e-07[/C][C]1.56278617411705e-06[/C][C]0.999999218606913[/C][/ROW]
[ROW][C]76[/C][C]5.93220286296272e-07[/C][C]1.18644057259254e-06[/C][C]0.999999406779714[/C][/ROW]
[ROW][C]77[/C][C]5.15981596181444e-07[/C][C]1.03196319236289e-06[/C][C]0.999999484018404[/C][/ROW]
[ROW][C]78[/C][C]6.12666398185789e-07[/C][C]1.22533279637158e-06[/C][C]0.999999387333602[/C][/ROW]
[ROW][C]79[/C][C]5.29581129015916e-07[/C][C]1.05916225803183e-06[/C][C]0.99999947041887[/C][/ROW]
[ROW][C]80[/C][C]4.35708520911468e-07[/C][C]8.71417041822936e-07[/C][C]0.999999564291479[/C][/ROW]
[ROW][C]81[/C][C]3.25970866729260e-07[/C][C]6.51941733458521e-07[/C][C]0.999999674029133[/C][/ROW]
[ROW][C]82[/C][C]2.74915371431553e-07[/C][C]5.49830742863106e-07[/C][C]0.999999725084629[/C][/ROW]
[ROW][C]83[/C][C]1.60962096171059e-07[/C][C]3.21924192342119e-07[/C][C]0.999999839037904[/C][/ROW]
[ROW][C]84[/C][C]2.02951468923418e-07[/C][C]4.05902937846835e-07[/C][C]0.999999797048531[/C][/ROW]
[ROW][C]85[/C][C]2.38362488822154e-07[/C][C]4.76724977644308e-07[/C][C]0.99999976163751[/C][/ROW]
[ROW][C]86[/C][C]2.99298295292305e-07[/C][C]5.98596590584611e-07[/C][C]0.999999700701705[/C][/ROW]
[ROW][C]87[/C][C]2.39616903465972e-07[/C][C]4.79233806931943e-07[/C][C]0.999999760383097[/C][/ROW]
[ROW][C]88[/C][C]1.83308553489261e-07[/C][C]3.66617106978522e-07[/C][C]0.999999816691447[/C][/ROW]
[ROW][C]89[/C][C]1.38355538690573e-07[/C][C]2.76711077381146e-07[/C][C]0.999999861644461[/C][/ROW]
[ROW][C]90[/C][C]1.16369271549282e-07[/C][C]2.32738543098564e-07[/C][C]0.999999883630728[/C][/ROW]
[ROW][C]91[/C][C]1.01897407300851e-07[/C][C]2.03794814601701e-07[/C][C]0.999999898102593[/C][/ROW]
[ROW][C]92[/C][C]6.86314462835691e-08[/C][C]1.37262892567138e-07[/C][C]0.999999931368554[/C][/ROW]
[ROW][C]93[/C][C]4.61964192628995e-08[/C][C]9.2392838525799e-08[/C][C]0.99999995380358[/C][/ROW]
[ROW][C]94[/C][C]3.15333103221241e-08[/C][C]6.30666206442482e-08[/C][C]0.99999996846669[/C][/ROW]
[ROW][C]95[/C][C]1.81972364466e-08[/C][C]3.63944728932e-08[/C][C]0.999999981802764[/C][/ROW]
[ROW][C]96[/C][C]1.04243723774565e-08[/C][C]2.08487447549131e-08[/C][C]0.999999989575628[/C][/ROW]
[ROW][C]97[/C][C]5.99391500558993e-09[/C][C]1.19878300111799e-08[/C][C]0.999999994006085[/C][/ROW]
[ROW][C]98[/C][C]3.63680760482167e-09[/C][C]7.27361520964334e-09[/C][C]0.999999996363192[/C][/ROW]
[ROW][C]99[/C][C]2.04037016660334e-09[/C][C]4.08074033320669e-09[/C][C]0.99999999795963[/C][/ROW]
[ROW][C]100[/C][C]1.13701445485586e-09[/C][C]2.27402890971172e-09[/C][C]0.999999998862986[/C][/ROW]
[ROW][C]101[/C][C]6.2927274491334e-10[/C][C]1.25854548982668e-09[/C][C]0.999999999370727[/C][/ROW]
[ROW][C]102[/C][C]3.48455382340586e-10[/C][C]6.96910764681172e-10[/C][C]0.999999999651545[/C][/ROW]
[ROW][C]103[/C][C]3.27225475840646e-10[/C][C]6.54450951681292e-10[/C][C]0.999999999672775[/C][/ROW]
[ROW][C]104[/C][C]1.80635983319086e-10[/C][C]3.61271966638172e-10[/C][C]0.999999999819364[/C][/ROW]
[ROW][C]105[/C][C]1.71923636711575e-10[/C][C]3.43847273423150e-10[/C][C]0.999999999828076[/C][/ROW]
[ROW][C]106[/C][C]1.15694151572510e-10[/C][C]2.31388303145021e-10[/C][C]0.999999999884306[/C][/ROW]
[ROW][C]107[/C][C]7.33752565788599e-11[/C][C]1.46750513157720e-10[/C][C]0.999999999926625[/C][/ROW]
[ROW][C]108[/C][C]4.55632069192643e-11[/C][C]9.11264138385286e-11[/C][C]0.999999999954437[/C][/ROW]
[ROW][C]109[/C][C]2.93033172934503e-11[/C][C]5.86066345869007e-11[/C][C]0.999999999970697[/C][/ROW]
[ROW][C]110[/C][C]1.80473168516412e-11[/C][C]3.60946337032824e-11[/C][C]0.999999999981953[/C][/ROW]
[ROW][C]111[/C][C]1.16719476326522e-09[/C][C]2.33438952653044e-09[/C][C]0.999999998832805[/C][/ROW]
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[ROW][C]360[/C][C]0.99999999999963[/C][C]7.38987899494074e-13[/C][C]3.69493949747037e-13[/C][/ROW]
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[ROW][C]362[/C][C]1[/C][C]8.65572621073116e-18[/C][C]4.32786310536558e-18[/C][/ROW]
[ROW][C]363[/C][C]1[/C][C]2.5661807984166e-17[/C][C]1.2830903992083e-17[/C][/ROW]
[ROW][C]364[/C][C]1[/C][C]7.57490819758993e-17[/C][C]3.78745409879497e-17[/C][/ROW]
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[ROW][C]367[/C][C]1[/C][C]1.58118938083416e-15[/C][C]7.9059469041708e-16[/C][/ROW]
[ROW][C]368[/C][C]0.999999999999998[/C][C]4.60068422281152e-15[/C][C]2.30034211140576e-15[/C][/ROW]
[ROW][C]369[/C][C]0.999999999999993[/C][C]1.31693557326646e-14[/C][C]6.5846778663323e-15[/C][/ROW]
[ROW][C]370[/C][C]0.999999999999981[/C][C]3.7763035474985e-14[/C][C]1.88815177374925e-14[/C][/ROW]
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[ROW][C]372[/C][C]0.999999999999954[/C][C]9.21182826864337e-14[/C][C]4.60591413432168e-14[/C][/ROW]
[ROW][C]373[/C][C]0.999999999999866[/C][C]2.6787590875552e-13[/C][C]1.3393795437776e-13[/C][/ROW]
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[ROW][C]377[/C][C]0.999999999995957[/C][C]8.08625106454608e-12[/C][C]4.04312553227304e-12[/C][/ROW]
[ROW][C]378[/C][C]0.999999999995893[/C][C]8.21339257226618e-12[/C][C]4.10669628613309e-12[/C][/ROW]
[ROW][C]379[/C][C]0.99999999999061[/C][C]1.87812941254137e-11[/C][C]9.39064706270686e-12[/C][/ROW]
[ROW][C]380[/C][C]0.999999999974804[/C][C]5.0391512732085e-11[/C][C]2.51957563660425e-11[/C][/ROW]
[ROW][C]381[/C][C]0.999999999934598[/C][C]1.30804822064456e-10[/C][C]6.54024110322280e-11[/C][/ROW]
[ROW][C]382[/C][C]0.999999999859102[/C][C]2.81795733151135e-10[/C][C]1.40897866575567e-10[/C][/ROW]
[ROW][C]383[/C][C]0.999999999663377[/C][C]6.73246340343422e-10[/C][C]3.36623170171711e-10[/C][/ROW]
[ROW][C]384[/C][C]0.99999999954116[/C][C]9.17681711021308e-10[/C][C]4.58840855510654e-10[/C][/ROW]
[ROW][C]385[/C][C]0.999999998806913[/C][C]2.38617451971952e-09[/C][C]1.19308725985976e-09[/C][/ROW]
[ROW][C]386[/C][C]0.999999998092743[/C][C]3.81451443663942e-09[/C][C]1.90725721831971e-09[/C][/ROW]
[ROW][C]387[/C][C]0.999999996264605[/C][C]7.47079040418604e-09[/C][C]3.73539520209302e-09[/C][/ROW]
[ROW][C]388[/C][C]0.999999996589012[/C][C]6.8219756403164e-09[/C][C]3.4109878201582e-09[/C][/ROW]
[ROW][C]389[/C][C]0.999999998951855[/C][C]2.09629065447822e-09[/C][C]1.04814532723911e-09[/C][/ROW]
[ROW][C]390[/C][C]0.999999999999763[/C][C]4.74496670865694e-13[/C][C]2.37248335432847e-13[/C][/ROW]
[ROW][C]391[/C][C]1[/C][C]1.66571705278838e-17[/C][C]8.3285852639419e-18[/C][/ROW]
[ROW][C]392[/C][C]1[/C][C]2.85002698169299e-22[/C][C]1.42501349084649e-22[/C][/ROW]
[ROW][C]393[/C][C]1[/C][C]1.83680712635691e-21[/C][C]9.18403563178455e-22[/C][/ROW]
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[ROW][C]395[/C][C]1[/C][C]1.21437802948208e-19[/C][C]6.07189014741041e-20[/C][/ROW]
[ROW][C]396[/C][C]1[/C][C]1.17648999732829e-18[/C][C]5.88244998664145e-19[/C][/ROW]
[ROW][C]397[/C][C]1[/C][C]1.34133498738152e-18[/C][C]6.70667493690761e-19[/C][/ROW]
[ROW][C]398[/C][C]1[/C][C]7.2158576353554e-21[/C][C]3.6079288176777e-21[/C][/ROW]
[ROW][C]399[/C][C]1[/C][C]4.51387167497089e-27[/C][C]2.25693583748545e-27[/C][/ROW]
[ROW][C]400[/C][C]1[/C][C]1.36992337246196e-25[/C][C]6.84961686230978e-26[/C][/ROW]
[ROW][C]401[/C][C]1[/C][C]3.4753119683561e-24[/C][C]1.73765598417805e-24[/C][/ROW]
[ROW][C]402[/C][C]1[/C][C]9.90703235163227e-23[/C][C]4.95351617581613e-23[/C][/ROW]
[ROW][C]403[/C][C]1[/C][C]2.61817756189142e-21[/C][C]1.30908878094571e-21[/C][/ROW]
[ROW][C]404[/C][C]1[/C][C]4.11377574378064e-20[/C][C]2.05688787189032e-20[/C][/ROW]
[ROW][C]405[/C][C]1[/C][C]1.23754764785196e-18[/C][C]6.18773823925978e-19[/C][/ROW]
[ROW][C]406[/C][C]1[/C][C]3.22008384513139e-17[/C][C]1.61004192256570e-17[/C][/ROW]
[ROW][C]407[/C][C]1[/C][C]7.60181562143376e-16[/C][C]3.80090781071688e-16[/C][/ROW]
[ROW][C]408[/C][C]0.999999999999995[/C][C]1.02989521558041e-14[/C][C]5.14947607790203e-15[/C][/ROW]
[ROW][C]409[/C][C]0.9999999999999[/C][C]1.98905958449261e-13[/C][C]9.94529792246305e-14[/C][/ROW]
[ROW][C]410[/C][C]0.999999999997168[/C][C]5.66458883415186e-12[/C][C]2.83229441707593e-12[/C][/ROW]
[ROW][C]411[/C][C]0.999999999924097[/C][C]1.51806226300605e-10[/C][C]7.59031131503023e-11[/C][/ROW]
[ROW][C]412[/C][C]0.999999998260158[/C][C]3.47968307102797e-09[/C][C]1.73984153551398e-09[/C][/ROW]
[ROW][C]413[/C][C]0.999999981203351[/C][C]3.75932972839931e-08[/C][C]1.87966486419966e-08[/C][/ROW]
[ROW][C]414[/C][C]0.999999724519195[/C][C]5.50961609470386e-07[/C][C]2.75480804735193e-07[/C][/ROW]
[ROW][C]415[/C][C]0.999992657635496[/C][C]1.46847290082893e-05[/C][C]7.34236450414467e-06[/C][/ROW]
[ROW][C]416[/C][C]0.99993406123389[/C][C]0.000131877532218445[/C][C]6.59387661092227e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104710&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104710&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
158.1603696494877e-121.63207392989754e-110.99999999999184
162.07001173694949e-154.14002347389899e-150.999999999999998
176.35233528526388e-191.27046705705278e-181
181.17117506071356e-222.34235012142712e-221
192.13899258811303e-264.27798517622607e-261
203.54024371705851e-307.08048743411702e-301
217.92681309948923e-341.58536261989785e-331
222.79073996956707e-375.58147993913414e-371
233.50442602852982e-207.00885205705964e-201
247.49815802853514e-211.49963160570703e-201
256.97471569632071e-141.39494313926414e-130.99999999999993
262.65254329378230e-135.30508658756459e-130.999999999999735
276.14648531082504e-141.22929706216501e-130.999999999999938
287.02409525082434e-151.40481905016487e-140.999999999999993
296.06805277210957e-161.21361055442191e-151
301.41561501133161e-162.83123002266322e-161
311.36076640137661e-172.72153280275323e-171
321.04172628035482e-132.08345256070965e-130.999999999999896
332.82745026672544e-145.65490053345089e-140.999999999999972
344.62297651344623e-159.24595302689247e-150.999999999999995
358.84032780656132e-161.76806556131226e-151
361.29919502517295e-162.5983900503459e-161
373.05014220559964e-176.10028441119928e-171
381.1654633051363e-172.3309266102726e-171
391.67705386047929e-183.35410772095858e-181
402.38507747691438e-194.77015495382876e-191
413.30068245199539e-206.60136490399077e-201
424.53056180384470e-219.06112360768941e-211
436.04963467486935e-221.20992693497387e-211
448.04849134157286e-231.60969826831457e-221
451.04848784792667e-232.09697569585334e-231
461.33628593583399e-242.67257187166798e-241
472.58859555597789e-255.17719111195577e-251
486.17126168082205e-261.23425233616441e-251
493.41169843305601e-266.82339686611201e-261
501.14897943607257e-252.29795887214515e-251
511.65146975582231e-263.30293951164462e-261
522.67600430119675e-275.35200860239351e-271
534.19385503277168e-288.38771006554337e-281
541.02875272959979e-282.05750545919958e-281
555.01561045571493e-291.00312209114299e-281
566.99792013619728e-301.39958402723946e-291
579.64448421812301e-311.92889684362460e-301
581.34336747087279e-312.68673494174559e-311
591.82898243474555e-323.6579648694911e-321
602.92835638943465e-335.8567127788693e-331
614.88702087551652e-219.77404175103304e-211
622.02932474192425e-154.05864948384849e-150.999999999999998
631.90871500130495e-153.8174300026099e-150.999999999999998
641.39158441426123e-132.78316882852245e-130.99999999999986
657.0979675005069e-141.41959350010138e-130.999999999999929
664.03368079393939e-138.06736158787878e-130.999999999999597
677.17822980648643e-131.43564596129729e-120.999999999999282
688.78934027360984e-131.75786805472197e-120.99999999999912
699.535780265729e-111.9071560531458e-100.999999999904642
709.52514379049844e-101.90502875809969e-090.999999999047486
719.43983826506659e-091.88796765301332e-080.999999990560162
727.36502909901252e-081.47300581980250e-070.999999926349709
736.91933537214261e-071.38386707442852e-060.999999308066463
749.06886668527784e-071.81377333705557e-060.999999093113331
757.81393087058527e-071.56278617411705e-060.999999218606913
765.93220286296272e-071.18644057259254e-060.999999406779714
775.15981596181444e-071.03196319236289e-060.999999484018404
786.12666398185789e-071.22533279637158e-060.999999387333602
795.29581129015916e-071.05916225803183e-060.99999947041887
804.35708520911468e-078.71417041822936e-070.999999564291479
813.25970866729260e-076.51941733458521e-070.999999674029133
822.74915371431553e-075.49830742863106e-070.999999725084629
831.60962096171059e-073.21924192342119e-070.999999839037904
842.02951468923418e-074.05902937846835e-070.999999797048531
852.38362488822154e-074.76724977644308e-070.99999976163751
862.99298295292305e-075.98596590584611e-070.999999700701705
872.39616903465972e-074.79233806931943e-070.999999760383097
881.83308553489261e-073.66617106978522e-070.999999816691447
891.38355538690573e-072.76711077381146e-070.999999861644461
901.16369271549282e-072.32738543098564e-070.999999883630728
911.01897407300851e-072.03794814601701e-070.999999898102593
926.86314462835691e-081.37262892567138e-070.999999931368554
934.61964192628995e-089.2392838525799e-080.99999995380358
943.15333103221241e-086.30666206442482e-080.99999996846669
951.81972364466e-083.63944728932e-080.999999981802764
961.04243723774565e-082.08487447549131e-080.999999989575628
975.99391500558993e-091.19878300111799e-080.999999994006085
983.63680760482167e-097.27361520964334e-090.999999996363192
992.04037016660334e-094.08074033320669e-090.99999999795963
1001.13701445485586e-092.27402890971172e-090.999999998862986
1016.2927274491334e-101.25854548982668e-090.999999999370727
1023.48455382340586e-106.96910764681172e-100.999999999651545
1033.27225475840646e-106.54450951681292e-100.999999999672775
1041.80635983319086e-103.61271966638172e-100.999999999819364
1051.71923636711575e-103.43847273423150e-100.999999999828076
1061.15694151572510e-102.31388303145021e-100.999999999884306
1077.33752565788599e-111.46750513157720e-100.999999999926625
1084.55632069192643e-119.11264138385286e-110.999999999954437
1092.93033172934503e-115.86066345869007e-110.999999999970697
1101.80473168516412e-113.60946337032824e-110.999999999981953
1111.16719476326522e-092.33438952653044e-090.999999998832805
1121.11994591263987e-092.23989182527975e-090.999999998880054
1139.66173173820518e-081.93234634764104e-070.999999903382683
1140.04485694975344160.08971389950688330.955143050246558
1150.4378882468377480.8757764936754960.562111753162252
1160.6687635598445210.6624728803109570.331236440155479
1170.6482550208504560.7034899582990880.351744979149544
1180.6557333664859350.688533267028130.344266633514065
1190.6655218340056320.6689563319887360.334478165994368
1200.668970644994370.6620587100112590.331029355005630
1210.6696146278979910.6607707442040190.330385372102009
1220.6708803167776960.6582393664446080.329119683222304
1230.6577565617171560.6844868765656890.342243438282844
1240.6446545679981830.7106908640036350.355345432001817
1250.6217384291061330.7565231417877350.378261570893868
1260.6008223838908330.7983552322183350.399177616109167
1270.5782233363144270.8435533273711460.421776663685573
1280.5563960390106070.8872079219787860.443603960989393
1290.5268933295426040.9462133409147930.473106670457396
1300.5150049144980980.9699901710038030.484995085501902
1310.5214027074320480.9571945851359050.478597292567952
1320.5143588722047660.9712822555904680.485641127795234
1330.4948594292672740.989718858534550.505140570732726
1340.4754015020615710.9508030041231430.524598497938429
1350.4523812935155910.9047625870311820.547618706484409
1360.4236462076593050.847292415318610.576353792340695
1370.4057560490275340.8115120980550680.594243950972466
1380.377323532682560.754647065365120.62267646731744
1390.3570349323199420.7140698646398840.642965067680058
1400.3576560418396290.7153120836792580.642343958160371
1410.3374155973482360.6748311946964710.662584402651764
1420.3157435159868870.6314870319737740.684256484013113
1430.2962123975563390.5924247951126780.703787602443661
1440.276142351104640.552284702209280.72385764889536
1450.2515916703098960.5031833406197930.748408329690104
1460.2350965596190520.4701931192381050.764903440380948
1470.2190841974622140.4381683949244280.780915802537786
1480.2503322918258160.5006645836516320.749667708174184
1490.2585611870553120.5171223741106230.741438812944688
1500.2611604766295550.5223209532591090.738839523370445
1510.2596024431665310.5192048863330610.740397556833469
1520.2915516958393740.5831033916787470.708448304160626
1530.4709836829181090.9419673658362180.529016317081891
1540.4995100954218880.9990201908437760.500489904578112
1550.5261056112400110.9477887775199780.473894388759989
1560.5106272126293340.9787455747413320.489372787370666
1570.4926533780303960.985306756060790.507346621969604
1580.4771471255965110.9542942511930230.522852874403489
1590.4481899306136280.8963798612272560.551810069386372
1600.4262529016676130.8525058033352260.573747098332387
1610.4041718118464150.8083436236928310.595828188153585
1620.3824247256853330.7648494513706660.617575274314667
1630.3614766416559530.7229532833119050.638523358344047
1640.3395063775071350.6790127550142710.660493622492865
1650.3205162192897670.6410324385795340.679483780710233
1660.3048257053072710.6096514106145410.69517429469273
1670.2884678919162190.5769357838324380.711532108083781
1680.2716460948603290.5432921897206590.72835390513967
1690.2546597609752280.5093195219504570.745340239024772
1700.2399003116561330.4798006233122660.760099688343867
1710.2198886430782470.4397772861564940.780111356921753
1720.2011289521749650.402257904349930.798871047825035
1730.1903874310398750.3807748620797510.809612568960125
1740.1801124907918670.3602249815837330.819887509208133
1750.1619837460250250.323967492050050.838016253974975
1760.1493021679424510.2986043358849030.850697832057549
1770.1359216290795200.2718432581590410.86407837092048
1780.1209767525678730.2419535051357450.879023247432127
1790.1071242843434710.2142485686869420.892875715656529
1800.09447442735893320.1889488547178660.905525572641067
1810.08598020235751440.1719604047150290.914019797642486
1820.07529829677666180.1505965935533240.924701703223338
1830.06726365280547870.1345273056109570.932736347194521
1840.06083041973941120.1216608394788220.939169580260589
1850.0549755358057550.109951071611510.945024464194245
1860.05538468612009550.1107693722401910.944615313879904
1870.0544763088315190.1089526176630380.945523691168481
1880.06423533661092340.1284706732218470.935764663389077
1890.05611054993344970.1122210998668990.94388945006655
1900.06453070531856710.1290614106371340.935469294681433
1910.05947256084252280.1189451216850460.940527439157477
1920.05180423521021140.1036084704204230.948195764789789
1930.04676814273939880.09353628547879760.953231857260601
1940.04273544207181890.08547088414363780.957264557928181
1950.03724758757951960.07449517515903920.96275241242048
1960.03269416316273970.06538832632547930.96730583683726
1970.02897957923778340.05795915847556680.971020420762217
1980.02469532878710890.04939065757421780.97530467121289
1990.02175315263559660.04350630527119310.978246847364403
2000.02230810203108070.04461620406216140.97769189796892
2010.02126542999283590.04253085998567180.978734570007164
2020.02096920206214620.04193840412429250.979030797937854
2030.02073040300426160.04146080600852310.979269596995738
2040.02023692146096890.04047384292193780.979763078539031
2050.01822884252921290.03645768505842570.981771157470787
2060.01790713118883320.03581426237766630.982092868811167
2070.01766692925728750.03533385851457510.982333070742712
2080.01684918921777530.03369837843555050.983150810782225
2090.01429933894356700.02859867788713410.985700661056433
2100.01196151167054140.02392302334108280.988038488329459
2110.01007476569563930.02014953139127850.98992523430436
2120.00848729556136340.01697459112272680.991512704438637
2130.007030094728578930.01406018945715790.992969905271421
2140.00579886066433920.01159772132867840.99420113933566
2150.004762757018696230.009525514037392450.995237242981304
2160.003930156310006440.007860312620012890.996069843689994
2170.003196036075867950.006392072151735890.996803963924132
2180.002746898841097730.005493797682195460.997253101158902
2190.002343119374028690.004686238748057380.997656880625971
2200.001891735652368880.003783471304737770.998108264347631
2210.001664735701662430.003329471403324870.998335264298338
2220.001391692619985080.002783385239970150.998608307380015
2230.001103378559755950.00220675711951190.998896621440244
2240.0009313088474489380.001862617694897880.999068691152551
2250.0009425068787067940.001885013757413590.999057493121293
2260.0009333781347790840.001866756269558170.99906662186522
2270.0009338521880157930.001867704376031590.999066147811984
2280.001316307964821660.002632615929643330.998683692035178
2290.001064111185914290.002128222371828580.998935888814086
2300.0008664306370728260.001732861274145650.999133569362927
2310.000703056972034840.001406113944069680.999296943027965
2320.0005839366320180030.001167873264036010.999416063367982
2330.0005057858952035140.001011571790407030.999494214104796
2340.0004531976555190550.0009063953110381090.99954680234448
2350.0003984103218739190.0007968206437478380.999601589678126
2360.0003545210989044650.000709042197808930.999645478901096
2370.0003359288320041550.000671857664008310.999664071167996
2380.0003231273730424370.0006462547460848740.999676872626958
2390.0002563409000741020.0005126818001482040.999743659099926
2400.0002021125086515890.0004042250173031770.999797887491348
2410.0001568447336878510.0003136894673757010.999843155266312
2420.0001266524124754450.0002533048249508900.999873347587525
2439.88852540229855e-050.0001977705080459710.999901114745977
2447.59977286194214e-050.0001519954572388430.99992400227138
2456.35337377946051e-050.0001270674755892100.999936466262205
2460.003172013392764790.006344026785529580.996827986607235
2470.004665120947134150.009330241894268310.995334879052866
2480.0638895360359810.1277790720719620.936110463964019
2490.1124853796446460.2249707592892930.887514620355354
2500.1137122934281740.2274245868563480.886287706571826
2510.1330695120825920.2661390241651840.866930487917408
2520.126296796591050.25259359318210.87370320340895
2530.1374360995108090.2748721990216190.86256390048919
2540.1273771286682890.2547542573365780.87262287133171
2550.1180217255667960.2360434511335920.881978274433204
2560.1093655278453550.2187310556907100.890634472154645
2570.09941334266366130.1988266853273230.900586657336339
2580.0933323843424750.186664768684950.906667615657525
2590.08926089002612470.1785217800522490.910739109973875
2600.0795920995137350.159184199027470.920407900486265
2610.0702251312236610.1404502624473220.929774868776339
2620.06115705201954970.1223141040390990.93884294798045
2630.05407622473389260.1081524494677850.945923775266107
2640.04707427217997610.09414854435995220.952925727820024
2650.04134409186571700.08268818373143410.958655908134283
2660.03651182732173680.07302365464347360.963488172678263
2670.03247026868250720.06494053736501430.967529731317493
2680.0282851648308360.0565703296616720.971714835169164
2690.02472423927221230.04944847854442460.975275760727788
2700.02093934764278660.04187869528557330.979060652357213
2710.01766883659061450.0353376731812290.982331163409386
2720.01477032514992800.02954065029985610.985229674850072
2730.01231428602178180.02462857204356370.987685713978218
2740.01061616230252330.02123232460504660.989383837697477
2750.01063336783248180.02126673566496350.989366632167518
2760.01193332615533780.02386665231067550.988066673844662
2770.01265778967251530.02531557934503060.987342210327485
2780.01073153234240080.02146306468480170.9892684676576
2790.009175396827456340.01835079365491270.990824603172544
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3250.8854675978232020.2290648043535950.114532402176798
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3510.8654353752227280.2691292495545440.134564624777272
3520.8543432689091360.2913134621817280.145656731090864
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3550.8109526507111690.3780946985776630.189047349288831
3560.7959265113186560.4081469773626870.204073488681344
3570.7945320111477820.4109359777044360.205467988852218
3580.8438948463315050.312210307336990.156105153668495
3590.999999999958058.38980945802218e-114.19490472901109e-11
3600.999999999999637.38987899494074e-133.69493949747037e-13
36112.86016758376354e-181.43008379188177e-18
36218.65572621073116e-184.32786310536558e-18
36312.5661807984166e-171.2830903992083e-17
36417.57490819758993e-173.78745409879497e-17
36512.25284705529945e-161.12642352764973e-16
36615.41215075570288e-162.70607537785144e-16
36711.58118938083416e-157.9059469041708e-16
3680.9999999999999984.60068422281152e-152.30034211140576e-15
3690.9999999999999931.31693557326646e-146.5846778663323e-15
3700.9999999999999813.7763035474985e-141.88815177374925e-14
3710.9999999999999471.05922912246442e-135.29614561232212e-14
3720.9999999999999549.21182826864337e-144.60591413432168e-14
3730.9999999999998662.6787590875552e-131.3393795437776e-13
3740.999999999999637.38885844014718e-133.69442922007359e-13
3750.999999999998992.01869748102756e-121.00934874051378e-12
3760.9999999999971635.67396273350473e-122.83698136675236e-12
3770.9999999999959578.08625106454608e-124.04312553227304e-12
3780.9999999999958938.21339257226618e-124.10669628613309e-12
3790.999999999990611.87812941254137e-119.39064706270686e-12
3800.9999999999748045.0391512732085e-112.51957563660425e-11
3810.9999999999345981.30804822064456e-106.54024110322280e-11
3820.9999999998591022.81795733151135e-101.40897866575567e-10
3830.9999999996633776.73246340343422e-103.36623170171711e-10
3840.999999999541169.17681711021308e-104.58840855510654e-10
3850.9999999988069132.38617451971952e-091.19308725985976e-09
3860.9999999980927433.81451443663942e-091.90725721831971e-09
3870.9999999962646057.47079040418604e-093.73539520209302e-09
3880.9999999965890126.8219756403164e-093.4109878201582e-09
3890.9999999989518552.09629065447822e-091.04814532723911e-09
3900.9999999999997634.74496670865694e-132.37248335432847e-13
39111.66571705278838e-178.3285852639419e-18
39212.85002698169299e-221.42501349084649e-22
39311.83680712635691e-219.18403563178455e-22
39411.40156688691996e-207.0078344345998e-21
39511.21437802948208e-196.07189014741041e-20
39611.17648999732829e-185.88244998664145e-19
39711.34133498738152e-186.70667493690761e-19
39817.2158576353554e-213.6079288176777e-21
39914.51387167497089e-272.25693583748545e-27
40011.36992337246196e-256.84961686230978e-26
40113.4753119683561e-241.73765598417805e-24
40219.90703235163227e-234.95351617581613e-23
40312.61817756189142e-211.30908878094571e-21
40414.11377574378064e-202.05688787189032e-20
40511.23754764785196e-186.18773823925978e-19
40613.22008384513139e-171.61004192256570e-17
40717.60181562143376e-163.80090781071688e-16
4080.9999999999999951.02989521558041e-145.14947607790203e-15
4090.99999999999991.98905958449261e-139.94529792246305e-14
4100.9999999999971685.66458883415186e-122.83229441707593e-12
4110.9999999999240971.51806226300605e-107.59031131503023e-11
4120.9999999982601583.47968307102797e-091.73984153551398e-09
4130.9999999812033513.75932972839931e-081.87966486419966e-08
4140.9999997245191955.50961609470386e-072.75480804735193e-07
4150.9999926576354961.46847290082893e-057.34236450414467e-06
4160.999934061233890.0001318775322184456.59387661092227e-05







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1910.475124378109453NOK
5% type I error level2240.557213930348259NOK
10% type I error level2380.592039800995025NOK

\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 & 191 & 0.475124378109453 & NOK \tabularnewline
5% type I error level & 224 & 0.557213930348259 & NOK \tabularnewline
10% type I error level & 238 & 0.592039800995025 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=104710&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]191[/C][C]0.475124378109453[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]224[/C][C]0.557213930348259[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]238[/C][C]0.592039800995025[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=104710&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=104710&T=6

As an alternative you can also use a QR Code:  

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 level1910.475124378109453NOK
5% type I error level2240.557213930348259NOK
10% type I error level2380.592039800995025NOK



Parameters (Session):
par1 = 11 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 11 ; par2 = Do not include Seasonal Dummies ; par3 = 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')
}