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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, 16 Nov 2012 13:51:45 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/16/t135309199524r5z4jmpepamzc.htm/, Retrieved Sat, 27 Apr 2024 08:00:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=189987, Retrieved Sat, 27 Apr 2024 08:00:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataseries X:
210907	56	396	81	3	79	30	115	94	112285	24188	146283	144	145
120982	56	297	55	4	58	28	109	103	84786	18273	98364	103	101
176508	54	559	50	12	60	38	146	93	83123	14130	86146	98	98
179321	89	967	125	2	108	30	116	103	101193	32287	96933	135	132
123185	40	270	40	1	49	22	68	51	38361	8654	79234	61	60
52746	25	143	37	3	0	26	101	70	68504	9245	42551	39	38
385534	92	1562	63	0	121	25	96	91	119182	33251	195663	150	144
33170	18	109	44	0	1	18	67	22	22807	1271	6853	5	5
101645	63	371	88	0	20	11	44	38	17140	5279	21529	28	28
149061	44	656	66	5	43	26	100	93	116174	27101	95757	84	84
165446	33	511	57	0	69	25	93	60	57635	16373	85584	80	79
237213	84	655	74	0	78	38	140	123	66198	19716	143983	130	127
173326	88	465	49	7	86	44	166	148	71701	17753	75851	82	78
133131	55	525	52	7	44	30	99	90	57793	9028	59238	60	60
258873	60	885	88	3	104	40	139	124	80444	18653	93163	131	131
180083	66	497	36	9	63	34	130	70	53855	8828	96037	84	84
324799	154	1436	108	0	158	47	181	168	97668	29498	151511	140	133
230964	53	612	43	4	102	30	116	115	133824	27563	136368	151	150
236785	119	865	75	3	77	31	116	71	101481	18293	112642	91	91
135473	41	385	32	0	82	23	88	66	99645	22530	94728	138	132
202925	61	567	44	7	115	36	139	134	114789	15977	105499	150	136
215147	58	639	85	0	101	36	135	117	99052	35082	121527	124	124
344297	75	963	86	1	80	30	108	108	67654	16116	127766	119	118
153935	33	398	56	5	50	25	89	84	65553	15849	98958	73	70
132943	40	410	50	7	83	39	156	156	97500	16026	77900	110	107
174724	92	966	135	0	123	34	129	120	69112	26569	85646	123	119
174415	100	801	63	0	73	31	118	114	82753	24785	98579	90	89
225548	112	892	81	5	81	31	118	94	85323	17569	130767	116	112
223632	73	513	52	0	105	33	125	120	72654	23825	131741	113	108
124817	40	469	44	0	47	25	95	81	30727	7869	53907	56	52
221698	45	683	113	0	105	33	126	110	77873	14975	178812	115	112
210767	60	643	39	3	94	35	135	133	117478	37791	146761	119	116
170266	62	535	73	4	44	42	154	122	74007	9605	82036	129	123
260561	75	625	48	1	114	43	165	158	90183	27295	163253	127	125
84853	31	264	33	4	38	30	113	109	61542	2746	27032	27	27
294424	77	992	59	2	107	33	127	124	101494	34461	171975	175	162
101011	34	238	41	0	30	13	52	39	27570	8098	65990	35	32
215641	46	818	69	0	71	32	121	92	55813	4787	86572	64	64
325107	99	937	64	0	84	36	136	126	79215	24919	159676	96	92
7176	17	70	1	0	0	0	0	0	1423	603	1929	0	0
167542	66	507	59	2	59	28	108	70	55461	16329	85371	84	83
106408	30	260	32	1	33	14	46	37	31081	12558	58391	41	41
96560	76	503	129	0	42	17	54	38	22996	7784	31580	47	47
265769	146	927	37	2	96	32	124	120	83122	28522	136815	126	120
269651	67	1269	31	10	106	30	115	93	70106	22265	120642	105	105
149112	56	537	65	6	56	35	128	95	60578	14459	69107	80	79
175824	107	910	107	0	57	20	80	77	39992	14526	50495	70	65
152871	58	532	74	5	59	28	97	90	79892	22240	108016	73	70
111665	34	345	54	4	39	28	104	80	49810	11802	46341	57	55
116408	61	918	76	1	34	39	59	31	71570	7623	78348	40	39
362301	119	1635	715	2	76	34	125	110	100708	11912	79336	68	67
78800	42	330	57	2	20	26	82	66	33032	7935	56968	21	21
183167	66	557	66	0	91	39	149	138	82875	18220	93176	127	127
277965	89	1178	106	8	115	39	149	133	139077	19199	161632	154	152
150629	44	740	54	3	85	33	122	113	71595	19918	87850	116	113
168809	66	452	32	0	76	28	118	100	72260	21884	127969	102	99
24188	24	218	20	0	8	4	12	7	5950	2694	15049	7	7
329267	259	764	71	8	79	39	144	140	115762	15808	155135	148	141
65029	17	255	21	5	21	18	67	61	32551	3597	25109	21	21
101097	64	454	70	3	30	14	52	41	31701	5296	45824	35	35
218946	41	866	112	1	76	29	108	96	80670	25239	102996	112	109
244052	68	574	66	5	101	44	166	164	143558	29801	160604	137	133
341570	168	1276	190	1	94	21	80	78	117105	18450	158051	135	123
103597	43	379	66	1	27	16	60	49	23789	7132	44547	26	26
233328	132	825	165	5	92	28	107	102	120733	34861	162647	230	230
256462	105	798	56	0	123	35	127	124	105195	35940	174141	181	166
206161	71	663	61	12	75	28	107	99	73107	16688	60622	71	68
311473	112	1069	53	8	128	38	146	129	132068	24683	179566	147	147
235800	94	921	127	8	105	23	84	62	149193	46230	184301	190	179
177939	82	858	63	8	55	36	141	73	46821	10387	75661	64	61
207176	70	711	38	8	56	32	123	114	87011	21436	96144	105	101
196553	57	503	50	2	41	29	111	99	95260	30546	129847	107	108
174184	53	382	52	0	72	25	98	70	55183	19746	117286	94	90
143246	103	464	42	5	67	27	105	104	106671	15977	71180	116	114
187559	121	717	76	8	75	36	135	116	73511	22583	109377	106	103
187681	62	690	67	2	114	28	107	91	92945	17274	85298	143	142
119016	52	462	50	5	118	23	85	74	78664	16469	73631	81	79
182192	52	657	53	12	77	40	155	138	70054	14251	86767	89	88
73566	32	385	39	6	22	23	88	67	22618	3007	23824	26	25
194979	62	577	50	7	66	40	155	151	74011	16851	93487	84	83
167488	45	619	77	2	69	28	104	72	83737	21113	82981	113	113
143756	46	479	57	0	105	34	132	120	69094	17401	73815	120	118
275541	63	817	73	4	116	33	127	115	93133	23958	94552	110	110
243199	75	752	34	3	88	28	108	105	95536	23567	132190	134	129
182999	88	430	39	6	73	34	129	104	225920	13065	128754	54	51
135649	46	451	46	2	99	30	116	108	62133	15358	66363	96	93
152299	53	537	63	0	62	33	122	98	61370	14587	67808	78	76
120221	37	519	35	1	53	22	85	69	43836	12770	61724	51	49
346485	90	1000	106	0	118	38	147	111	106117	24021	131722	121	118
145790	63	637	43	5	30	26	99	99	38692	9648	68580	38	38
193339	78	465	47	2	100	35	87	71	84651	20537	106175	145	141
80953	25	437	31	0	49	8	28	27	56622	7905	55792	59	58
122774	45	711	162	0	24	24	90	69	15986	4527	25157	27	27
130585	46	299	57	5	67	29	109	107	95364	30495	76669	91	91
112611	41	248	36	0	46	20	78	73	26706	7117	57283	48	48
286468	144	1162	263	1	57	29	111	107	89691	17719	105805	68	63
241066	82	714	78	0	75	45	158	93	67267	27056	129484	58	56
148446	91	905	63	1	135	37	141	129	126846	33473	72413	150	144
204713	71	649	54	1	68	33	122	69	41140	9758	87831	74	73
182079	63	512	63	2	124	33	124	118	102860	21115	96971	181	168
140344	53	472	77	6	33	25	93	73	51715	7236	71299	65	64
220516	62	905	79	1	98	32	124	119	55801	13790	77494	97	97
243060	63	786	110	4	58	29	112	104	111813	32902	120336	121	117
162765	32	489	56	2	68	28	108	107	120293	25131	93913	99	100
182613	39	479	56	3	81	28	99	99	138599	30910	136048	152	149
232138	62	617	43	0	131	31	117	90	161647	35947	181248	188	187
265318	117	925	111	10	110	52	199	197	115929	29848	146123	138	127
85574	34	351	71	0	37	21	78	36	24266	6943	32036	40	37
310839	92	1144	62	9	130	24	91	85	162901	42705	186646	254	245
225060	93	669	56	7	93	41	158	139	109825	31808	102255	87	87
232317	54	707	74	0	118	33	126	106	129838	26675	168237	178	177
144966	144	458	60	0	39	32	122	50	37510	8435	64219	51	49
43287	14	214	43	4	13	19	71	64	43750	7409	19630	49	49
155754	61	599	68	4	74	20	75	31	40652	14993	76825	73	73
164709	109	572	53	0	81	31	115	63	87771	36867	115338	176	177
201940	38	897	87	0	109	31	119	92	85872	33835	109427	94	94
235454	73	819	46	0	151	32	124	106	89275	24164	118168	120	117
220801	75	720	105	1	51	18	72	63	44418	12607	84845	66	60
99466	50	273	32	0	28	23	91	69	192565	22609	153197	56	55
92661	61	508	133	1	40	17	45	41	35232	5892	29877	39	39
133328	55	506	79	0	56	20	78	56	40909	17014	63506	66	64
61361	77	451	51	0	27	12	39	25	13294	5394	22445	27	26
125930	75	699	207	4	37	17	68	65	32387	9178	47695	65	64
100750	72	407	67	0	83	30	119	93	140867	6440	68370	58	58
224549	50	465	47	4	54	31	117	114	120662	21916	146304	98	95
82316	32	245	34	4	27	10	39	38	21233	4011	38233	25	25
102010	53	370	66	3	28	13	50	44	44332	5818	42071	26	26
101523	42	316	76	0	59	22	88	87	61056	18647	50517	77	76
243511	71	603	65	0	133	42	155	110	101338	20556	103950	130	129
22938	10	154	9	0	12	1	0	0	1168	238	5841	11	11
41566	35	229	42	5	0	9	36	27	13497	70	2341	2	2
152474	65	577	45	0	106	32	123	83	65567	22392	84396	101	101
61857	25	192	25	4	23	11	32	30	25162	3913	24610	31	28
99923	66	617	115	0	44	25	99	80	32334	12237	35753	36	36
132487	41	411	97	0	71	36	136	98	40735	8388	55515	120	89
317394	86	975	53	1	116	31	117	82	91413	22120	209056	195	193
21054	16	146	2	0	4	0	0	0	855	338	6622	4	4
209641	42	705	52	5	62	24	88	60	97068	11727	115814	89	84
22648	19	184	44	0	12	13	39	28	44339	3704	11609	24	23
31414	19	200	22	0	18	8	25	9	14116	3988	13155	39	39
46698	45	274	35	0	14	13	52	33	10288	3030	18274	14	14
131698	65	502	74	0	60	19	75	59	65622	13520	72875	78	78
91735	35	382	103	0	7	18	71	49	16563	1421	10112	15	14
244749	95	964	144	2	98	33	124	115	76643	20923	142775	106	101
184510	49	537	60	7	64	40	151	140	110681	20237	68847	83	82
79863	37	438	134	1	29	22	71	49	29011	3219	17659	24	24
128423	64	369	89	8	32	38	145	120	92696	3769	20112	37	36
97839	38	417	42	2	25	24	87	66	94785	12252	61023	77	75
38214	34	276	52	0	16	8	27	21	8773	1888	13983	16	16
151101	32	514	98	2	48	35	131	124	83209	14497	65176	56	55
272458	65	822	99	0	100	43	162	152	93815	28864	132432	132	131
172494	52	389	52	0	46	43	165	139	86687	21721	112494	144	131
108043	62	466	29	1	45	14	54	38	34553	4821	45109	40	39
328107	65	1255	125	3	129	41	159	144	105547	33644	170875	153	144
250579	83	694	106	0	130	38	147	120	103487	15923	180759	143	139
351067	95	1024	95	3	136	45	170	160	213688	42935	214921	220	211
158015	29	400	40	0	59	31	119	114	71220	18864	100226	79	78
98866	18	397	140	0	25	13	49	39	23517	4977	32043	50	50
85439	33	350	43	0	32	28	104	78	56926	7785	54454	39	39
229242	247	719	128	4	63	31	120	119	91721	17939	78876	95	90
351619	139	1277	142	4	95	40	150	141	115168	23436	170745	169	166
84207	29	356	73	11	14	30	112	101	111194	325	6940	12	12
120445	118	457	72	0	36	16	59	56	51009	13539	49025	63	57
324598	110	1402	128	0	113	37	136	133	135777	34538	122037	134	133
131069	67	600	61	4	47	30	107	83	51513	12198	53782	69	69
204271	42	480	73	0	92	35	130	116	74163	26924	127748	119	119
165543	65	595	148	1	70	32	115	90	51633	12716	86839	119	119
141722	94	436	64	0	19	27	107	36	75345	8172	44830	75	65
116048	64	230	45	0	50	20	75	50	33416	10855	77395	63	61
250047	81	651	58	0	41	18	71	61	83305	11932	89324	55	49
299775	95	1367	97	9	91	31	120	97	98952	14300	103300	103	101
195838	67	564	50	1	111	31	116	98	102372	25515	112283	197	196
173260	63	716	37	3	41	21	79	78	37238	2805	10901	16	15
254488	83	747	50	10	120	39	150	117	103772	29402	120691	140	136
104389	45	467	105	5	135	41	156	148	123969	16440	58106	89	89
136084	30	671	69	0	27	13	51	41	27142	11221	57140	40	40
199476	70	861	46	2	87	32	118	105	135400	28732	122422	125	123
92499	32	319	57	0	25	18	71	55	21399	5250	25899	21	21
224330	83	612	52	1	131	39	144	132	130115	28608	139296	167	163
135781	31	433	98	2	45	14	47	44	24874	8092	52678	32	29
74408	67	434	61	4	29	7	28	21	34988	4473	23853	36	35
81240	66	503	89	0	58	17	68	50	45549	1572	17306	13	13
14688	10	85	0	0	4	0	0	0	6023	2065	7953	5	5
181633	70	564	48	2	47	30	110	73	64466	14817	89455	96	96
271856	103	824	91	1	109	37	147	86	54990	16714	147866	151	151
7199	5	74	0	0	7	0	0	0	1644	556	4245	6	6
46660	20	259	7	0	12	5	15	13	6179	2089	21509	13	13
17547	5	69	3	0	0	1	4	4	3926	2658	7670	3	3
133368	36	535	54	1	37	16	64	57	32755	10695	66675	57	56
95227	34	239	70	0	37	32	111	48	34777	1669	14336	23	23
152601	48	438	36	2	46	24	85	46	73224	16267	53608	61	57
98146	40	459	37	0	15	17	68	48	27114	7768	30059	21	14
79619	43	426	123	3	42	11	40	32	20760	7252	29668	43	43
59194	31	288	247	6	7	24	80	68	37636	6387	22097	20	20
139942	42	498	46	0	54	22	88	87	65461	18715	96841	82	72
118612	46	454	72	2	54	12	48	43	30080	7936	41907	90	87
72880	33	376	41	0	14	19	76	67	24094	8643	27080	25	21
65475	18	225	24	2	16	13	51	46	69008	7294	35885	60	56
99643	55	555	45	1	33	17	67	46	54968	4570	41247	61	59
71965	35	252	33	1	32	15	59	56	46090	7185	28313	85	82
77272	59	208	27	2	21	16	61	48	27507	10058	36845	43	43
49289	19	130	36	1	15	24	76	44	10672	2342	16548	25	25
135131	66	481	87	0	38	15	60	60	34029	8509	36134	41	38
108446	60	389	90	1	22	17	68	65	46300	13275	55764	26	25
89746	36	565	114	3	28	18	71	55	24760	6816	28910	38	38
44296	25	173	31	0	10	20	76	38	18779	1930	13339	12	12
77648	47	278	45	0	31	16	62	52	21280	8086	25319	29	29
181528	54	609	69	0	32	16	61	60	40662	10737	66956	49	47
134019	53	422	51	0	32	18	67	54	28987	8033	47487	46	45
124064	40	445	34	1	43	22	88	86	22827	7058	52785	41	40
92630	40	387	60	4	27	8	30	24	18513	6782	44683	31	30
121848	39	339	45	0	37	17	64	52	30594	5401	35619	41	41
52915	14	181	54	0	20	18	68	49	24006	6521	21920	26	25
81872	45	245	25	0	32	16	64	61	27913	10856	45608	23	23
58981	36	384	38	7	0	23	91	61	42744	2154	7721	14	14
53515	28	212	52	2	5	22	88	81	12934	6117	20634	16	16
60812	44	399	67	0	26	13	52	43	22574	5238	29788	25	26
56375	30	229	74	7	10	13	49	40	41385	4820	31931	21	21
65490	22	224	38	3	27	16	62	40	18653	5615	37754	32	27
80949	17	203	30	0	11	16	61	56	18472	4272	32505	9	9
76302	31	333	26	0	29	20	76	68	30976	8702	40557	35	33
104011	55	384	67	6	25	22	88	79	63339	15340	94238	42	42
98104	54	636	132	2	55	17	66	47	25568	8030	44197	68	68
67989	21	185	42	0	23	18	71	57	33747	9526	43228	32	32
30989	14	93	35	0	5	17	68	41	4154	1278	4103	6	6
135458	81	581	118	3	43	12	48	29	19474	4236	44144	68	67
73504	35	248	68	0	23	7	25	3	35130	3023	32868	33	33
63123	43	304	43	1	34	17	68	60	39067	7196	27640	84	77
61254	46	344	76	1	36	14	41	30	13310	3394	14063	46	46
74914	30	407	64	0	35	23	90	79	65892	6371	28990	30	30
31774	23	170	48	1	0	17	66	47	4143	1574	4694	0	0
81437	38	312	64	0	37	14	54	40	28579	9620	42648	36	36
87186	54	507	56	0	28	15	59	48	51776	6978	64329	47	46
50090	20	224	71	0	16	17	60	36	21152	4911	21928	20	18
65745	53	340	75	0	26	21	77	42	38084	8645	25836	50	48
56653	45	168	39	0	38	18	68	49	27717	8987	22779	30	29
158399	39	443	42	0	23	18	72	57	32928	5544	40820	30	28
46455	20	204	39	0	22	17	67	12	11342	3083	27530	34	34
73624	24	367	93	0	30	17	64	40	19499	6909	32378	33	33
38395	31	210	38	0	16	16	63	43	16380	3189	10824	34	34
91899	35	335	60	0	18	15	59	33	36874	6745	39613	37	33
139526	151	364	71	0	28	21	84	77	48259	16724	60865	83	80
52164	52	178	52	0	32	16	64	43	16734	4850	19787	32	32
51567	30	206	27	2	21	14	56	45	28207	7025	20107	30	30
70551	31	279	59	0	23	15	54	47	30143	6047	36605	43	41
84856	29	387	40	1	29	17	67	43	41369	7377	40961	41	41
102538	57	490	79	1	50	15	58	45	45833	9078	48231	51	51
86678	40	238	44	0	12	15	59	50	29156	4605	39725	19	18
85709	44	343	65	0	21	10	40	35	35944	3238	21455	37	34
34662	25	232	10	0	18	6	22	7	36278	8100	23430	33	31
150580	77	530	124	0	27	22	83	71	45588	9653	62991	41	39
99611	35	291	81	0	41	21	81	67	45097	8914	49363	54	54
19349	11	67	15	0	13	1	2	0	3895	786	9604	14	14
99373	63	397	92	1	12	18	72	62	28394	6700	24552	25	24
86230	44	467	42	0	21	17	61	54	18632	5788	31493	25	24
30837	19	178	10	0	8	4	15	4	2325	593	3439	8	8
31706	13	175	24	0	26	10	32	25	25139	4506	19555	26	26
89806	42	299	64	0	27	16	62	40	27975	6382	21228	20	19
62088	38	154	45	1	13	16	58	38	14483	5621	23177	11	11
40151	29	106	22	0	16	9	36	19	13127	3997	22094	14	14
27634	20	189	56	0	2	16	59	17	5839	520	2342	3	1
76990	27	194	94	0	42	17	68	67	24069	8891	38798	40	39
37460	20	135	19	0	5	7	21	14	3738	999	3255	5	5
54157	19	201	35	0	37	15	55	30	18625	7067	24261	38	37
49862	37	207	32	0	17	14	54	54	36341	4639	18511	32	32
84337	26	280	35	0	38	14	55	35	24548	5654	40798	41	38
64175	42	260	48	0	37	18	72	59	21792	6928	28893	46	47
59382	49	227	49	0	29	12	41	24	26263	1514	21425	47	47
119308	30	239	48	0	32	16	61	58	23686	9238	50276	37	37
76702	49	333	62	0	35	21	67	42	49303	8204	37643	51	51
103425	67	428	96	1	17	19	76	46	25659	5926	30377	49	45
70344	28	230	45	0	20	16	64	61	28904	5785	27126	21	21
43410	19	292	63	0	7	1	3	3	2781	4	13	1	1
104838	49	350	71	1	46	16	63	52	29236	5930	42097	44	42
62215	27	186	26	0	24	10	40	25	19546	3710	24451	26	26
69304	30	326	48	6	40	19	69	40	22818	705	14335	21	21
53117	22	155	29	3	3	12	48	32	32689	443	5084	4	4
19764	12	75	19	1	10	2	8	4	5752	2416	9927	10	10
86680	31	361	45	2	37	14	52	49	22197	7747	43527	43	43
84105	20	261	45	0	17	17	66	63	20055	5432	27184	34	34
77945	20	299	67	0	28	19	76	67	25272	4913	21610	32	31
89113	39	300	30	0	19	14	43	32	82206	2650	20484	20	19
91005	29	450	36	3	29	11	39	23	32073	2370	20156	34	34
40248	16	183	34	1	8	4	14	7	5444	775	6012	6	6
64187	27	238	36	0	10	16	61	54	20154	5576	18475	12	11
50857	21	165	34	0	15	20	71	37	36944	1352	12645	24	24
56613	19	234	37	1	15	12	44	35	8019	3080	11017	16	16
62792	35	176	46	0	28	15	60	51	30884	10205	37623	72	72
72535	14	329	44	0	17	16	64	39	19540	6095	35873	27	21




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time20 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 20 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189987&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]20 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189987&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189987&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 time20 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Multiple Linear Regression - Estimated Regression Equation
time_in_rfc[t] = -4825.87191538712 + 192.401697754146logins[t] + 122.692595564607compendium_views_info[t] + 23.8995306726626compendium_views_pr[t] -181.132180733192shared_compendiums[t] + 49.9310274116792blogged_computations[t] -958.141657271882compendiums_reviewed[t] + 387.324670025153feedback_messages_p1[t] + 188.860858466293feedback_messages_p120[t] -0.0979261835742309totsize[t] -0.840560753543224totrevisions[t] + 0.862265159048422totseconds[t] + 123.454326707396tothyperlinks[t] -113.10070971784totblogs[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
time_in_rfc[t] =  -4825.87191538712 +  192.401697754146logins[t] +  122.692595564607compendium_views_info[t] +  23.8995306726626compendium_views_pr[t] -181.132180733192shared_compendiums[t] +  49.9310274116792blogged_computations[t] -958.141657271882compendiums_reviewed[t] +  387.324670025153feedback_messages_p1[t] +  188.860858466293feedback_messages_p120[t] -0.0979261835742309totsize[t] -0.840560753543224totrevisions[t] +  0.862265159048422totseconds[t] +  123.454326707396tothyperlinks[t] -113.10070971784totblogs[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189987&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]time_in_rfc[t] =  -4825.87191538712 +  192.401697754146logins[t] +  122.692595564607compendium_views_info[t] +  23.8995306726626compendium_views_pr[t] -181.132180733192shared_compendiums[t] +  49.9310274116792blogged_computations[t] -958.141657271882compendiums_reviewed[t] +  387.324670025153feedback_messages_p1[t] +  188.860858466293feedback_messages_p120[t] -0.0979261835742309totsize[t] -0.840560753543224totrevisions[t] +  0.862265159048422totseconds[t] +  123.454326707396tothyperlinks[t] -113.10070971784totblogs[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189987&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189987&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
time_in_rfc[t] = -4825.87191538712 + 192.401697754146logins[t] + 122.692595564607compendium_views_info[t] + 23.8995306726626compendium_views_pr[t] -181.132180733192shared_compendiums[t] + 49.9310274116792blogged_computations[t] -958.141657271882compendiums_reviewed[t] + 387.324670025153feedback_messages_p1[t] + 188.860858466293feedback_messages_p120[t] -0.0979261835742309totsize[t] -0.840560753543224totrevisions[t] + 0.862265159048422totseconds[t] + 123.454326707396tothyperlinks[t] -113.10070971784totblogs[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-4825.871915387123413.775178-1.41360.1585970.079298
logins192.40169775414654.7006333.51740.000510.000255
compendium_views_info122.6925955646079.26998613.235500
compendium_views_pr23.899530672662630.7284230.77780.4373750.218688
shared_compendiums-181.132180733192546.7558-0.33130.7406810.370341
blogged_computations49.931027411679289.6587670.55690.5780480.289024
compendiums_reviewed-958.141657271882687.824192-1.3930.1647440.082372
feedback_messages_p1387.324670025153208.2428041.860.0639580.031979
feedback_messages_p120188.860858466293103.7585241.82020.0698160.034908
totsize-0.09792618357423090.064607-1.51570.1307360.065368
totrevisions-0.8405607535432240.31625-2.65790.0083230.004162
totseconds0.8622651590484220.07049912.230900
tothyperlinks123.454326707396435.4569750.28350.7770030.388501
totblogs-113.10070971784451.302996-0.25060.8023030.401152

\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) & -4825.87191538712 & 3413.775178 & -1.4136 & 0.158597 & 0.079298 \tabularnewline
logins & 192.401697754146 & 54.700633 & 3.5174 & 0.00051 & 0.000255 \tabularnewline
compendium_views_info & 122.692595564607 & 9.269986 & 13.2355 & 0 & 0 \tabularnewline
compendium_views_pr & 23.8995306726626 & 30.728423 & 0.7778 & 0.437375 & 0.218688 \tabularnewline
shared_compendiums & -181.132180733192 & 546.7558 & -0.3313 & 0.740681 & 0.370341 \tabularnewline
blogged_computations & 49.9310274116792 & 89.658767 & 0.5569 & 0.578048 & 0.289024 \tabularnewline
compendiums_reviewed & -958.141657271882 & 687.824192 & -1.393 & 0.164744 & 0.082372 \tabularnewline
feedback_messages_p1 & 387.324670025153 & 208.242804 & 1.86 & 0.063958 & 0.031979 \tabularnewline
feedback_messages_p120 & 188.860858466293 & 103.758524 & 1.8202 & 0.069816 & 0.034908 \tabularnewline
totsize & -0.0979261835742309 & 0.064607 & -1.5157 & 0.130736 & 0.065368 \tabularnewline
totrevisions & -0.840560753543224 & 0.31625 & -2.6579 & 0.008323 & 0.004162 \tabularnewline
totseconds & 0.862265159048422 & 0.070499 & 12.2309 & 0 & 0 \tabularnewline
tothyperlinks & 123.454326707396 & 435.456975 & 0.2835 & 0.777003 & 0.388501 \tabularnewline
totblogs & -113.10070971784 & 451.302996 & -0.2506 & 0.802303 & 0.401152 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189987&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]-4825.87191538712[/C][C]3413.775178[/C][C]-1.4136[/C][C]0.158597[/C][C]0.079298[/C][/ROW]
[ROW][C]logins[/C][C]192.401697754146[/C][C]54.700633[/C][C]3.5174[/C][C]0.00051[/C][C]0.000255[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]122.692595564607[/C][C]9.269986[/C][C]13.2355[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]23.8995306726626[/C][C]30.728423[/C][C]0.7778[/C][C]0.437375[/C][C]0.218688[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]-181.132180733192[/C][C]546.7558[/C][C]-0.3313[/C][C]0.740681[/C][C]0.370341[/C][/ROW]
[ROW][C]blogged_computations[/C][C]49.9310274116792[/C][C]89.658767[/C][C]0.5569[/C][C]0.578048[/C][C]0.289024[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]-958.141657271882[/C][C]687.824192[/C][C]-1.393[/C][C]0.164744[/C][C]0.082372[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]387.324670025153[/C][C]208.242804[/C][C]1.86[/C][C]0.063958[/C][C]0.031979[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]188.860858466293[/C][C]103.758524[/C][C]1.8202[/C][C]0.069816[/C][C]0.034908[/C][/ROW]
[ROW][C]totsize[/C][C]-0.0979261835742309[/C][C]0.064607[/C][C]-1.5157[/C][C]0.130736[/C][C]0.065368[/C][/ROW]
[ROW][C]totrevisions[/C][C]-0.840560753543224[/C][C]0.31625[/C][C]-2.6579[/C][C]0.008323[/C][C]0.004162[/C][/ROW]
[ROW][C]totseconds[/C][C]0.862265159048422[/C][C]0.070499[/C][C]12.2309[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]123.454326707396[/C][C]435.456975[/C][C]0.2835[/C][C]0.777003[/C][C]0.388501[/C][/ROW]
[ROW][C]totblogs[/C][C]-113.10070971784[/C][C]451.302996[/C][C]-0.2506[/C][C]0.802303[/C][C]0.401152[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189987&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189987&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)-4825.871915387123413.775178-1.41360.1585970.079298
logins192.40169775414654.7006333.51740.000510.000255
compendium_views_info122.6925955646079.26998613.235500
compendium_views_pr23.899530672662630.7284230.77780.4373750.218688
shared_compendiums-181.132180733192546.7558-0.33130.7406810.370341
blogged_computations49.931027411679289.6587670.55690.5780480.289024
compendiums_reviewed-958.141657271882687.824192-1.3930.1647440.082372
feedback_messages_p1387.324670025153208.2428041.860.0639580.031979
feedback_messages_p120188.860858466293103.7585241.82020.0698160.034908
totsize-0.09792618357423090.064607-1.51570.1307360.065368
totrevisions-0.8405607535432240.31625-2.65790.0083230.004162
totseconds0.8622651590484220.07049912.230900
tothyperlinks123.454326707396435.4569750.28350.7770030.388501
totblogs-113.10070971784451.302996-0.25060.8023030.401152







Multiple Linear Regression - Regression Statistics
Multiple R0.966844538114394
R-squared0.934788360881635
Adjusted R-squared0.931705628850585
F-TEST (value)303.233739250198
F-TEST (DF numerator)13
F-TEST (DF denominator)275
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation21517.9147814345
Sum Squared Residuals127330680548.797

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.966844538114394 \tabularnewline
R-squared & 0.934788360881635 \tabularnewline
Adjusted R-squared & 0.931705628850585 \tabularnewline
F-TEST (value) & 303.233739250198 \tabularnewline
F-TEST (DF numerator) & 13 \tabularnewline
F-TEST (DF denominator) & 275 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 21517.9147814345 \tabularnewline
Sum Squared Residuals & 127330680548.797 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189987&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.966844538114394[/C][/ROW]
[ROW][C]R-squared[/C][C]0.934788360881635[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.931705628850585[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]303.233739250198[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]13[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]275[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]21517.9147814345[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]127330680548.797[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189987&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189987&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 R0.966844538114394
R-squared0.934788360881635
Adjusted R-squared0.931705628850585
F-TEST (value)303.233739250198
F-TEST (DF numerator)13
F-TEST (DF denominator)275
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation21517.9147814345
Sum Squared Residuals127330680548.797







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907189608.34500932821298.6549906719
2120982143163.49817061-22181.4981706103
3176508169148.6186297497359.3813702512
4179321222867.787196281-43546.7871962807
5123185112144.16093894711040.8390610527
65274668026.2835719099-15280.2835719099
7385534373808.71890497311725.2810950269
83317028630.6199181644539.38008183604
910164582333.439998300219311.5600016998
10149061167610.846756216-18549.8467562156
11165446147757.133605117688.8663949005
12237213241190.44603317-3977.44603317
13173326168205.0175418645120.98245813574
14133131137392.069645559-4261.06964555943
15258873219115.95451556239757.0454844381
16180083173207.1371432026875.86285679847
17324799366787.292272133-41988.2922721329
18230964206748.43561519624215.5643848039
19236785230684.6002400066100.39975999422
20135473134762.874767546710.125232453554
21202925196089.5167290186835.48327098244
22215147198584.95002724116562.0499727585
23344297258451.49826868285845.5017313181
24153935146348.7169251677586.28307483286
25132943155392.930884105-22449.9308841053
26174724227290.180188182-52566.1801881819
27174415212482.93950013-38067.9395001299
28225548256280.450984083-30732.4509840831
29223632206296.54678967817335.4532103217
30124817129842.37561568-5025.37561568024
31221698269033.702987835-47335.7029878354
32210767219412.613180463-8645.6131804632
33170266175837.944838158-5571.94483815752
34260561256027.9069956774533.09300432325
358485386353.7787618281-1500.77876182813
36294424291745.6050694052678.39493059455
3710101196540.92061557744470.07938442255
38215641208983.6033604696657.39663953146
39325107287314.40365703537792.5963429646
4071768074.44056482022-898.440564820223
41167542157733.5255230429808.47447695818
4210640883642.051495917722765.9485040823
4396560107417.130218649-10857.1302186493
44265769270186.91170701-4417.91170700963
45269651280878.570225415-11227.5702254146
46149112151525.850365619-2413.85036561866
47175824187884.203115557-12060.2031155569
48152871170870.686001169-17999.6860011694
49111665101097.3413429510567.65865705
50116408168882.463456405-52474.4634564047
51362301325157.54938712837143.450612872
5278800104490.342135747-25690.3421357468
53183167186966.836477121-3799.8364771212
54277965320551.557976692-42586.5579766918
55150629189936.852727784-39307.8527277837
56168809191919.270547128-23110.2705471281
572418839755.1211521562-15567.1211521562
58329267299251.24972353730015.7502764633
596502966258.0146620562-1229.01466205623
60101097112606.818937684-11509.8189376842
61218946208974.5089696959971.49103030473
62244052238755.0222603355296.97773966479
63341570330763.63206382510806.367936175
64103597100211.7399473533385.26005264679
65233328264804.003441408-31476.0034414077
66256462273054.043256453-16592.0432564526
67206161158682.23006939847478.7699306021
68311473321268.37262478-9795.37262477956
69235800263954.697776466-28154.6977764656
70177939205856.526695903-27917.5266959032
71207176194544.72247653512631.2775234647
72196553182592.50341182513960.4965881751
73174184164858.0365155929325.96348440828
74143246148732.892327114-5486.89232711446
75187559219808.775500812-32249.7755008119
76187681182015.7428997175665.25710028265
77119016135913.04471131-16897.0447113098
78182192193510.067266788-11318.067266788
797356690394.832576842-16828.832576842
80194979191528.2906855843450.70931441571
81167488158528.7224776558959.27752234479
82143756154336.762468408-10580.7624684077
83275541207047.4583411768493.5416588298
84243199228136.44173882115062.558261179
85182999184196.218655719-1197.21865571864
86135649141183.609756441-5534.60975644122
87152299151233.3050499621065.69495003765
88120221133097.061128608-12876.0611286078
89346485269687.62512195576797.374878045
90145790166830.144395076-21040.1443950763
91193339154511.57801013838827.421989862
9280953101709.594007975-20756.5940079755
93122774137632.81408174-14858.8140817405
94130585111231.73013958919353.2698604108
95112611102775.5267220419835.47327795902
96286468278638.8450577357829.15494226518
97241066222954.39482673318111.6051732672
98148446199422.515398974-50976.5153989737
99204713186015.23429945118697.7657005492
100182079175281.9642203476797.03577965279
101140344142656.192595492-2312.19259549207
102220516215351.1372902975164.86270970319
103243060210629.19905706332430.8009429367
104162765149896.13923500512868.8607649948
105182613176169.6371458876443.362854113
106232138235283.386545188-3145.38654518839
107265318294197.685886207-28879.685886207
1088557485379.225269009194.774730990997
109310839300619.99437799810219.005622002
110225060199608.4046097825451.5953902201
111232317249055.846235505-16738.8462355047
112144966153855.283905725-8889.2839057252
1134328753380.2839320376-10093.2839320376
114155754151156.1477925914597.85220740899
115164709179952.388345007-15243.3883450067
116201940212305.67453777-10365.6745377696
117235454230150.8437811565303.15621884362
118220801184930.98141203835870.0185879623
11999466161620.776614763-62154.7766147634
12092661100880.68182418-8219.68182418035
121133328131508.7628922661819.23710773424
1226136190130.2913953462-28769.2913953462
123125930154787.747716187-28857.7477161869
124100750139965.726155311-39215.7261553113
125224549199355.1272779125193.8727220896
1268231673302.88797845239013.11202154775
12710201095733.89491717766276.10508282236
12810152399040.96454784772482.03545215228
129243511195469.97233042748041.027669573
1302293820684.8805659552253.11943404503
1314156641181.2886777993384.711322200707
132152474166072.769705658-13598.7697056584
1336185748210.655976328413646.3440236716
13499923135768.8616935-35845.8616935
135132487137621.591138349-5134.59113834947
136317394324286.614038363-6892.6140383629
1372105421796.6953016271-742.695301627124
138209641197593.53819654612047.4618034541
1392264833910.1118921077-11262.1118921077
1403141435522.9657791326-4108.96577913265
1414669865250.5637461765-18552.5637461765
142131698141878.459924201-10180.4599242012
1439173577266.85371212814468.1462878721
144244749277509.529252606-32760.5292526055
145184510152938.07092176231571.9290782375
1467986386105.3953338669-6242.39533386684
147128423103045.81778307625377.182216924
14897839112765.612803976-14926.6128039756
1493821454155.9515575675-15941.9515575675
150151101145952.8239258975148.17607410341
151272458248368.45123191324089.5487680874
152172494178620.31718826-6126.31718825962
153108043113702.07255699-5659.07255699029
154328107331367.299354546-3260.299354546
155250579282783.982782782-32204.982782782
156351067332153.20861477418913.791385226
157158015156173.8930459271841.10695407262
1589886687490.012241051111375.9877589489
15985439110515.478134519-25076.4781345191
160229242221145.0177622988096.9822377018
161351619350750.659553977868.34044602312
1628420773541.024811458210665.9751885418
163120445122792.387687964-2347.38768796411
164324598303799.41569122220798.5843087776
165131069144926.754126632-13857.7541266324
166204271188701.84688218315569.1531178174
167165543178778.31574919-13235.3157491896
168141722117920.58934686123801.4106531393
169116048113825.6269456572222.37305434286
170250047175920.61895113274126.3810488685
171299775290155.5325563639619.46744363676
172195838185054.16382393910783.8361760609
173173260126414.1757163146845.8242836898
174254488222091.50254197632396.497458024
175104389143629.994162523-39240.9941625228
176136084138905.258999012-2821.25899901245
177199476223906.285329451-24430.2853294515
1789249979762.083240595712736.9167594042
179224330222673.9237143011656.07628569863
180135781108446.80294761427334.1970523862
1817440885466.5201384414-11058.5201384414
18281240103377.942459695-22137.9424596946
1831468812310.53532991822377.46467008184
184181633167981.22787578913651.772124211
185271856270882.930703425973.069296574556
18671998659.00071437811-1460.00071437811
1874666051360.4072830372-4700.40728303716
1881754710046.19065729317500.80934270688
189133368136919.016574045-3551.01657404511
1909522763748.649583040431478.3504169596
191152601106022.84458243446578.1554175664
1929814697677.6488651539468.35113484608
1937961989102.9658358318-9483.96583583181
1945919472679.4028058271-13485.4028058271
195139942160929.09861365-20987.0986136499
196118612106786.4870192511825.5129807498
1977288087657.3598458519-14777.3598458518
1986547562365.99445394873109.00554605126
19999643121942.08077975-22299.0807797503
2007196569168.13174970492796.86825029514
2017727271806.67195842865465.32804157137
2024928942473.10978067156815.89021932854
203135131112499.6517935722631.3482064295
204108446112612.805773604-4166.80577360375
20589746112809.582168558-23063.5821685583
2064429648065.4999890486-3769.49998904857
2077764872704.82085654084943.17914345918
208181528148619.04017281332908.9598271875
209134019110811.99363578823207.0063642118
210124064127378.602027905-3314.60202790497
2119263092346.1452527092283.854747290795
21212184889116.345142723732731.6548572763
2135291552161.0510516363753.948948363691
2148187284771.9777346394-2899.97773463939
2155898174390.777299517-15409.777299517
2165351567554.9060658628-14039.9060658628
2176081290517.1332723608-29705.1332723608
2185637563766.4721167013-7391.47211670135
2196549071745.7399426278-6255.73994262779
2208094966211.871042708614737.1289572914
2217630292392.5277124837-16090.5277124837
222104011145154.639106136-41143.6391061355
22398104136846.570810523-38742.5708105227
2246798971376.8758927719-3387.87589277195
2253098930276.2401764047712.759823595252
226135458132451.0450461873006.95495381327
2277350461353.679268699612150.3207313004
2286312380291.5340009904-17168.5340009904
2296125466241.8028282704-4987.80282827042
2307491495401.1021599422-20487.1021599422
2313177441893.3559183981-10119.3559183981
2328143785460.2715761812-4023.27157618121
23387186133183.477184265-45997.4771842652
2345009055892.825166415-5802.825166415
2356574579838.0493439801-14093.0493439801
2365665355416.63882709451236.3611729055
237158399108438.59492546549960.4050745354
2384645558398.7460828004-11943.7460828004
2397362485138.5374050516-11514.5374050516
2403839551203.9109261817-12808.9109261817
2419189985767.26039281956131.73960718052
242139526133835.4717670035690.5282329971
2435216459115.936164932-6951.936164932
2445156753308.3961054262-1741.39610542621
2457055177548.1317566683-6997.13175666832
2468485693733.8387853952-8877.83878539521
247102538117052.40748972-14514.4074897201
2488667879482.2438107747195.75618922602
2498570973827.774891217111881.2251087829
2503466244090.5605709677-9428.56057096775
251150580146193.2186465544386.78135344596
2529961196714.92261605442896.07738394559
2531934913719.09665000565629.90334999443
2549937394101.39430245945271.60569754061
25586230101363.991327961-15133.9913279613
2563083726362.26064783944474.73935216061
2573170639434.3003003959-7728.30030039589
2588980669576.484662318120229.5153376819
2596208851190.331804714510897.6681952855
2604015138543.28679721341607.71320278658
2612763435649.6266781231-8015.62667812314
2627699075369.34146121911620.65853878086
2633746022012.960059570115447.0399404299
2645415752433.29654913161723.70345086841
2654986255838.6152974983-5976.61529749832
2668433780549.43722506413787.56277493593
2676417577252.4974032238-13077.4974032238
2685938259103.5861436377278.413856362269
26911930885914.894992429533393.1050075705
2707670283712.0034009521-7010.00340095211
271103425103118.013726774306.98627322623
2727034467747.92505364652596.07494635353
2734341037027.46890379186382.53109620819
27410483899381.77561157325456.22438842677
2756221551962.514710139910252.4852898601
2766930468827.6577615713476.342238428647
2775311732712.925530009620404.0744699904
2781976415464.09599598484299.90400401519
2798668093263.8814051549-6583.88140515492
2808410571404.493396130312700.5066038697
2817794575065.74743407032879.25256592972
2828911358140.98021126930972.019788731
2839100579239.259377977211765.7406220228
2844024828709.72018972411538.279810276
2856418758931.65162054795255.34837945209
2865085742743.06832841668113.93167158338
2875661347437.6951516299175.30484837102
2886279266082.9783867718-3290.97838677182
2897253581811.60300265-9276.60300264995

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 210907 & 189608.345009328 & 21298.6549906719 \tabularnewline
2 & 120982 & 143163.49817061 & -22181.4981706103 \tabularnewline
3 & 176508 & 169148.618629749 & 7359.3813702512 \tabularnewline
4 & 179321 & 222867.787196281 & -43546.7871962807 \tabularnewline
5 & 123185 & 112144.160938947 & 11040.8390610527 \tabularnewline
6 & 52746 & 68026.2835719099 & -15280.2835719099 \tabularnewline
7 & 385534 & 373808.718904973 & 11725.2810950269 \tabularnewline
8 & 33170 & 28630.619918164 & 4539.38008183604 \tabularnewline
9 & 101645 & 82333.4399983002 & 19311.5600016998 \tabularnewline
10 & 149061 & 167610.846756216 & -18549.8467562156 \tabularnewline
11 & 165446 & 147757.1336051 & 17688.8663949005 \tabularnewline
12 & 237213 & 241190.44603317 & -3977.44603317 \tabularnewline
13 & 173326 & 168205.017541864 & 5120.98245813574 \tabularnewline
14 & 133131 & 137392.069645559 & -4261.06964555943 \tabularnewline
15 & 258873 & 219115.954515562 & 39757.0454844381 \tabularnewline
16 & 180083 & 173207.137143202 & 6875.86285679847 \tabularnewline
17 & 324799 & 366787.292272133 & -41988.2922721329 \tabularnewline
18 & 230964 & 206748.435615196 & 24215.5643848039 \tabularnewline
19 & 236785 & 230684.600240006 & 6100.39975999422 \tabularnewline
20 & 135473 & 134762.874767546 & 710.125232453554 \tabularnewline
21 & 202925 & 196089.516729018 & 6835.48327098244 \tabularnewline
22 & 215147 & 198584.950027241 & 16562.0499727585 \tabularnewline
23 & 344297 & 258451.498268682 & 85845.5017313181 \tabularnewline
24 & 153935 & 146348.716925167 & 7586.28307483286 \tabularnewline
25 & 132943 & 155392.930884105 & -22449.9308841053 \tabularnewline
26 & 174724 & 227290.180188182 & -52566.1801881819 \tabularnewline
27 & 174415 & 212482.93950013 & -38067.9395001299 \tabularnewline
28 & 225548 & 256280.450984083 & -30732.4509840831 \tabularnewline
29 & 223632 & 206296.546789678 & 17335.4532103217 \tabularnewline
30 & 124817 & 129842.37561568 & -5025.37561568024 \tabularnewline
31 & 221698 & 269033.702987835 & -47335.7029878354 \tabularnewline
32 & 210767 & 219412.613180463 & -8645.6131804632 \tabularnewline
33 & 170266 & 175837.944838158 & -5571.94483815752 \tabularnewline
34 & 260561 & 256027.906995677 & 4533.09300432325 \tabularnewline
35 & 84853 & 86353.7787618281 & -1500.77876182813 \tabularnewline
36 & 294424 & 291745.605069405 & 2678.39493059455 \tabularnewline
37 & 101011 & 96540.9206155774 & 4470.07938442255 \tabularnewline
38 & 215641 & 208983.603360469 & 6657.39663953146 \tabularnewline
39 & 325107 & 287314.403657035 & 37792.5963429646 \tabularnewline
40 & 7176 & 8074.44056482022 & -898.440564820223 \tabularnewline
41 & 167542 & 157733.525523042 & 9808.47447695818 \tabularnewline
42 & 106408 & 83642.0514959177 & 22765.9485040823 \tabularnewline
43 & 96560 & 107417.130218649 & -10857.1302186493 \tabularnewline
44 & 265769 & 270186.91170701 & -4417.91170700963 \tabularnewline
45 & 269651 & 280878.570225415 & -11227.5702254146 \tabularnewline
46 & 149112 & 151525.850365619 & -2413.85036561866 \tabularnewline
47 & 175824 & 187884.203115557 & -12060.2031155569 \tabularnewline
48 & 152871 & 170870.686001169 & -17999.6860011694 \tabularnewline
49 & 111665 & 101097.34134295 & 10567.65865705 \tabularnewline
50 & 116408 & 168882.463456405 & -52474.4634564047 \tabularnewline
51 & 362301 & 325157.549387128 & 37143.450612872 \tabularnewline
52 & 78800 & 104490.342135747 & -25690.3421357468 \tabularnewline
53 & 183167 & 186966.836477121 & -3799.8364771212 \tabularnewline
54 & 277965 & 320551.557976692 & -42586.5579766918 \tabularnewline
55 & 150629 & 189936.852727784 & -39307.8527277837 \tabularnewline
56 & 168809 & 191919.270547128 & -23110.2705471281 \tabularnewline
57 & 24188 & 39755.1211521562 & -15567.1211521562 \tabularnewline
58 & 329267 & 299251.249723537 & 30015.7502764633 \tabularnewline
59 & 65029 & 66258.0146620562 & -1229.01466205623 \tabularnewline
60 & 101097 & 112606.818937684 & -11509.8189376842 \tabularnewline
61 & 218946 & 208974.508969695 & 9971.49103030473 \tabularnewline
62 & 244052 & 238755.022260335 & 5296.97773966479 \tabularnewline
63 & 341570 & 330763.632063825 & 10806.367936175 \tabularnewline
64 & 103597 & 100211.739947353 & 3385.26005264679 \tabularnewline
65 & 233328 & 264804.003441408 & -31476.0034414077 \tabularnewline
66 & 256462 & 273054.043256453 & -16592.0432564526 \tabularnewline
67 & 206161 & 158682.230069398 & 47478.7699306021 \tabularnewline
68 & 311473 & 321268.37262478 & -9795.37262477956 \tabularnewline
69 & 235800 & 263954.697776466 & -28154.6977764656 \tabularnewline
70 & 177939 & 205856.526695903 & -27917.5266959032 \tabularnewline
71 & 207176 & 194544.722476535 & 12631.2775234647 \tabularnewline
72 & 196553 & 182592.503411825 & 13960.4965881751 \tabularnewline
73 & 174184 & 164858.036515592 & 9325.96348440828 \tabularnewline
74 & 143246 & 148732.892327114 & -5486.89232711446 \tabularnewline
75 & 187559 & 219808.775500812 & -32249.7755008119 \tabularnewline
76 & 187681 & 182015.742899717 & 5665.25710028265 \tabularnewline
77 & 119016 & 135913.04471131 & -16897.0447113098 \tabularnewline
78 & 182192 & 193510.067266788 & -11318.067266788 \tabularnewline
79 & 73566 & 90394.832576842 & -16828.832576842 \tabularnewline
80 & 194979 & 191528.290685584 & 3450.70931441571 \tabularnewline
81 & 167488 & 158528.722477655 & 8959.27752234479 \tabularnewline
82 & 143756 & 154336.762468408 & -10580.7624684077 \tabularnewline
83 & 275541 & 207047.45834117 & 68493.5416588298 \tabularnewline
84 & 243199 & 228136.441738821 & 15062.558261179 \tabularnewline
85 & 182999 & 184196.218655719 & -1197.21865571864 \tabularnewline
86 & 135649 & 141183.609756441 & -5534.60975644122 \tabularnewline
87 & 152299 & 151233.305049962 & 1065.69495003765 \tabularnewline
88 & 120221 & 133097.061128608 & -12876.0611286078 \tabularnewline
89 & 346485 & 269687.625121955 & 76797.374878045 \tabularnewline
90 & 145790 & 166830.144395076 & -21040.1443950763 \tabularnewline
91 & 193339 & 154511.578010138 & 38827.421989862 \tabularnewline
92 & 80953 & 101709.594007975 & -20756.5940079755 \tabularnewline
93 & 122774 & 137632.81408174 & -14858.8140817405 \tabularnewline
94 & 130585 & 111231.730139589 & 19353.2698604108 \tabularnewline
95 & 112611 & 102775.526722041 & 9835.47327795902 \tabularnewline
96 & 286468 & 278638.845057735 & 7829.15494226518 \tabularnewline
97 & 241066 & 222954.394826733 & 18111.6051732672 \tabularnewline
98 & 148446 & 199422.515398974 & -50976.5153989737 \tabularnewline
99 & 204713 & 186015.234299451 & 18697.7657005492 \tabularnewline
100 & 182079 & 175281.964220347 & 6797.03577965279 \tabularnewline
101 & 140344 & 142656.192595492 & -2312.19259549207 \tabularnewline
102 & 220516 & 215351.137290297 & 5164.86270970319 \tabularnewline
103 & 243060 & 210629.199057063 & 32430.8009429367 \tabularnewline
104 & 162765 & 149896.139235005 & 12868.8607649948 \tabularnewline
105 & 182613 & 176169.637145887 & 6443.362854113 \tabularnewline
106 & 232138 & 235283.386545188 & -3145.38654518839 \tabularnewline
107 & 265318 & 294197.685886207 & -28879.685886207 \tabularnewline
108 & 85574 & 85379.225269009 & 194.774730990997 \tabularnewline
109 & 310839 & 300619.994377998 & 10219.005622002 \tabularnewline
110 & 225060 & 199608.40460978 & 25451.5953902201 \tabularnewline
111 & 232317 & 249055.846235505 & -16738.8462355047 \tabularnewline
112 & 144966 & 153855.283905725 & -8889.2839057252 \tabularnewline
113 & 43287 & 53380.2839320376 & -10093.2839320376 \tabularnewline
114 & 155754 & 151156.147792591 & 4597.85220740899 \tabularnewline
115 & 164709 & 179952.388345007 & -15243.3883450067 \tabularnewline
116 & 201940 & 212305.67453777 & -10365.6745377696 \tabularnewline
117 & 235454 & 230150.843781156 & 5303.15621884362 \tabularnewline
118 & 220801 & 184930.981412038 & 35870.0185879623 \tabularnewline
119 & 99466 & 161620.776614763 & -62154.7766147634 \tabularnewline
120 & 92661 & 100880.68182418 & -8219.68182418035 \tabularnewline
121 & 133328 & 131508.762892266 & 1819.23710773424 \tabularnewline
122 & 61361 & 90130.2913953462 & -28769.2913953462 \tabularnewline
123 & 125930 & 154787.747716187 & -28857.7477161869 \tabularnewline
124 & 100750 & 139965.726155311 & -39215.7261553113 \tabularnewline
125 & 224549 & 199355.12727791 & 25193.8727220896 \tabularnewline
126 & 82316 & 73302.8879784523 & 9013.11202154775 \tabularnewline
127 & 102010 & 95733.8949171776 & 6276.10508282236 \tabularnewline
128 & 101523 & 99040.9645478477 & 2482.03545215228 \tabularnewline
129 & 243511 & 195469.972330427 & 48041.027669573 \tabularnewline
130 & 22938 & 20684.880565955 & 2253.11943404503 \tabularnewline
131 & 41566 & 41181.2886777993 & 384.711322200707 \tabularnewline
132 & 152474 & 166072.769705658 & -13598.7697056584 \tabularnewline
133 & 61857 & 48210.6559763284 & 13646.3440236716 \tabularnewline
134 & 99923 & 135768.8616935 & -35845.8616935 \tabularnewline
135 & 132487 & 137621.591138349 & -5134.59113834947 \tabularnewline
136 & 317394 & 324286.614038363 & -6892.6140383629 \tabularnewline
137 & 21054 & 21796.6953016271 & -742.695301627124 \tabularnewline
138 & 209641 & 197593.538196546 & 12047.4618034541 \tabularnewline
139 & 22648 & 33910.1118921077 & -11262.1118921077 \tabularnewline
140 & 31414 & 35522.9657791326 & -4108.96577913265 \tabularnewline
141 & 46698 & 65250.5637461765 & -18552.5637461765 \tabularnewline
142 & 131698 & 141878.459924201 & -10180.4599242012 \tabularnewline
143 & 91735 & 77266.853712128 & 14468.1462878721 \tabularnewline
144 & 244749 & 277509.529252606 & -32760.5292526055 \tabularnewline
145 & 184510 & 152938.070921762 & 31571.9290782375 \tabularnewline
146 & 79863 & 86105.3953338669 & -6242.39533386684 \tabularnewline
147 & 128423 & 103045.817783076 & 25377.182216924 \tabularnewline
148 & 97839 & 112765.612803976 & -14926.6128039756 \tabularnewline
149 & 38214 & 54155.9515575675 & -15941.9515575675 \tabularnewline
150 & 151101 & 145952.823925897 & 5148.17607410341 \tabularnewline
151 & 272458 & 248368.451231913 & 24089.5487680874 \tabularnewline
152 & 172494 & 178620.31718826 & -6126.31718825962 \tabularnewline
153 & 108043 & 113702.07255699 & -5659.07255699029 \tabularnewline
154 & 328107 & 331367.299354546 & -3260.299354546 \tabularnewline
155 & 250579 & 282783.982782782 & -32204.982782782 \tabularnewline
156 & 351067 & 332153.208614774 & 18913.791385226 \tabularnewline
157 & 158015 & 156173.893045927 & 1841.10695407262 \tabularnewline
158 & 98866 & 87490.0122410511 & 11375.9877589489 \tabularnewline
159 & 85439 & 110515.478134519 & -25076.4781345191 \tabularnewline
160 & 229242 & 221145.017762298 & 8096.9822377018 \tabularnewline
161 & 351619 & 350750.659553977 & 868.34044602312 \tabularnewline
162 & 84207 & 73541.0248114582 & 10665.9751885418 \tabularnewline
163 & 120445 & 122792.387687964 & -2347.38768796411 \tabularnewline
164 & 324598 & 303799.415691222 & 20798.5843087776 \tabularnewline
165 & 131069 & 144926.754126632 & -13857.7541266324 \tabularnewline
166 & 204271 & 188701.846882183 & 15569.1531178174 \tabularnewline
167 & 165543 & 178778.31574919 & -13235.3157491896 \tabularnewline
168 & 141722 & 117920.589346861 & 23801.4106531393 \tabularnewline
169 & 116048 & 113825.626945657 & 2222.37305434286 \tabularnewline
170 & 250047 & 175920.618951132 & 74126.3810488685 \tabularnewline
171 & 299775 & 290155.532556363 & 9619.46744363676 \tabularnewline
172 & 195838 & 185054.163823939 & 10783.8361760609 \tabularnewline
173 & 173260 & 126414.17571631 & 46845.8242836898 \tabularnewline
174 & 254488 & 222091.502541976 & 32396.497458024 \tabularnewline
175 & 104389 & 143629.994162523 & -39240.9941625228 \tabularnewline
176 & 136084 & 138905.258999012 & -2821.25899901245 \tabularnewline
177 & 199476 & 223906.285329451 & -24430.2853294515 \tabularnewline
178 & 92499 & 79762.0832405957 & 12736.9167594042 \tabularnewline
179 & 224330 & 222673.923714301 & 1656.07628569863 \tabularnewline
180 & 135781 & 108446.802947614 & 27334.1970523862 \tabularnewline
181 & 74408 & 85466.5201384414 & -11058.5201384414 \tabularnewline
182 & 81240 & 103377.942459695 & -22137.9424596946 \tabularnewline
183 & 14688 & 12310.5353299182 & 2377.46467008184 \tabularnewline
184 & 181633 & 167981.227875789 & 13651.772124211 \tabularnewline
185 & 271856 & 270882.930703425 & 973.069296574556 \tabularnewline
186 & 7199 & 8659.00071437811 & -1460.00071437811 \tabularnewline
187 & 46660 & 51360.4072830372 & -4700.40728303716 \tabularnewline
188 & 17547 & 10046.1906572931 & 7500.80934270688 \tabularnewline
189 & 133368 & 136919.016574045 & -3551.01657404511 \tabularnewline
190 & 95227 & 63748.6495830404 & 31478.3504169596 \tabularnewline
191 & 152601 & 106022.844582434 & 46578.1554175664 \tabularnewline
192 & 98146 & 97677.6488651539 & 468.35113484608 \tabularnewline
193 & 79619 & 89102.9658358318 & -9483.96583583181 \tabularnewline
194 & 59194 & 72679.4028058271 & -13485.4028058271 \tabularnewline
195 & 139942 & 160929.09861365 & -20987.0986136499 \tabularnewline
196 & 118612 & 106786.48701925 & 11825.5129807498 \tabularnewline
197 & 72880 & 87657.3598458519 & -14777.3598458518 \tabularnewline
198 & 65475 & 62365.9944539487 & 3109.00554605126 \tabularnewline
199 & 99643 & 121942.08077975 & -22299.0807797503 \tabularnewline
200 & 71965 & 69168.1317497049 & 2796.86825029514 \tabularnewline
201 & 77272 & 71806.6719584286 & 5465.32804157137 \tabularnewline
202 & 49289 & 42473.1097806715 & 6815.89021932854 \tabularnewline
203 & 135131 & 112499.65179357 & 22631.3482064295 \tabularnewline
204 & 108446 & 112612.805773604 & -4166.80577360375 \tabularnewline
205 & 89746 & 112809.582168558 & -23063.5821685583 \tabularnewline
206 & 44296 & 48065.4999890486 & -3769.49998904857 \tabularnewline
207 & 77648 & 72704.8208565408 & 4943.17914345918 \tabularnewline
208 & 181528 & 148619.040172813 & 32908.9598271875 \tabularnewline
209 & 134019 & 110811.993635788 & 23207.0063642118 \tabularnewline
210 & 124064 & 127378.602027905 & -3314.60202790497 \tabularnewline
211 & 92630 & 92346.1452527092 & 283.854747290795 \tabularnewline
212 & 121848 & 89116.3451427237 & 32731.6548572763 \tabularnewline
213 & 52915 & 52161.0510516363 & 753.948948363691 \tabularnewline
214 & 81872 & 84771.9777346394 & -2899.97773463939 \tabularnewline
215 & 58981 & 74390.777299517 & -15409.777299517 \tabularnewline
216 & 53515 & 67554.9060658628 & -14039.9060658628 \tabularnewline
217 & 60812 & 90517.1332723608 & -29705.1332723608 \tabularnewline
218 & 56375 & 63766.4721167013 & -7391.47211670135 \tabularnewline
219 & 65490 & 71745.7399426278 & -6255.73994262779 \tabularnewline
220 & 80949 & 66211.8710427086 & 14737.1289572914 \tabularnewline
221 & 76302 & 92392.5277124837 & -16090.5277124837 \tabularnewline
222 & 104011 & 145154.639106136 & -41143.6391061355 \tabularnewline
223 & 98104 & 136846.570810523 & -38742.5708105227 \tabularnewline
224 & 67989 & 71376.8758927719 & -3387.87589277195 \tabularnewline
225 & 30989 & 30276.2401764047 & 712.759823595252 \tabularnewline
226 & 135458 & 132451.045046187 & 3006.95495381327 \tabularnewline
227 & 73504 & 61353.6792686996 & 12150.3207313004 \tabularnewline
228 & 63123 & 80291.5340009904 & -17168.5340009904 \tabularnewline
229 & 61254 & 66241.8028282704 & -4987.80282827042 \tabularnewline
230 & 74914 & 95401.1021599422 & -20487.1021599422 \tabularnewline
231 & 31774 & 41893.3559183981 & -10119.3559183981 \tabularnewline
232 & 81437 & 85460.2715761812 & -4023.27157618121 \tabularnewline
233 & 87186 & 133183.477184265 & -45997.4771842652 \tabularnewline
234 & 50090 & 55892.825166415 & -5802.825166415 \tabularnewline
235 & 65745 & 79838.0493439801 & -14093.0493439801 \tabularnewline
236 & 56653 & 55416.6388270945 & 1236.3611729055 \tabularnewline
237 & 158399 & 108438.594925465 & 49960.4050745354 \tabularnewline
238 & 46455 & 58398.7460828004 & -11943.7460828004 \tabularnewline
239 & 73624 & 85138.5374050516 & -11514.5374050516 \tabularnewline
240 & 38395 & 51203.9109261817 & -12808.9109261817 \tabularnewline
241 & 91899 & 85767.2603928195 & 6131.73960718052 \tabularnewline
242 & 139526 & 133835.471767003 & 5690.5282329971 \tabularnewline
243 & 52164 & 59115.936164932 & -6951.936164932 \tabularnewline
244 & 51567 & 53308.3961054262 & -1741.39610542621 \tabularnewline
245 & 70551 & 77548.1317566683 & -6997.13175666832 \tabularnewline
246 & 84856 & 93733.8387853952 & -8877.83878539521 \tabularnewline
247 & 102538 & 117052.40748972 & -14514.4074897201 \tabularnewline
248 & 86678 & 79482.243810774 & 7195.75618922602 \tabularnewline
249 & 85709 & 73827.7748912171 & 11881.2251087829 \tabularnewline
250 & 34662 & 44090.5605709677 & -9428.56057096775 \tabularnewline
251 & 150580 & 146193.218646554 & 4386.78135344596 \tabularnewline
252 & 99611 & 96714.9226160544 & 2896.07738394559 \tabularnewline
253 & 19349 & 13719.0966500056 & 5629.90334999443 \tabularnewline
254 & 99373 & 94101.3943024594 & 5271.60569754061 \tabularnewline
255 & 86230 & 101363.991327961 & -15133.9913279613 \tabularnewline
256 & 30837 & 26362.2606478394 & 4474.73935216061 \tabularnewline
257 & 31706 & 39434.3003003959 & -7728.30030039589 \tabularnewline
258 & 89806 & 69576.4846623181 & 20229.5153376819 \tabularnewline
259 & 62088 & 51190.3318047145 & 10897.6681952855 \tabularnewline
260 & 40151 & 38543.2867972134 & 1607.71320278658 \tabularnewline
261 & 27634 & 35649.6266781231 & -8015.62667812314 \tabularnewline
262 & 76990 & 75369.3414612191 & 1620.65853878086 \tabularnewline
263 & 37460 & 22012.9600595701 & 15447.0399404299 \tabularnewline
264 & 54157 & 52433.2965491316 & 1723.70345086841 \tabularnewline
265 & 49862 & 55838.6152974983 & -5976.61529749832 \tabularnewline
266 & 84337 & 80549.4372250641 & 3787.56277493593 \tabularnewline
267 & 64175 & 77252.4974032238 & -13077.4974032238 \tabularnewline
268 & 59382 & 59103.5861436377 & 278.413856362269 \tabularnewline
269 & 119308 & 85914.8949924295 & 33393.1050075705 \tabularnewline
270 & 76702 & 83712.0034009521 & -7010.00340095211 \tabularnewline
271 & 103425 & 103118.013726774 & 306.98627322623 \tabularnewline
272 & 70344 & 67747.9250536465 & 2596.07494635353 \tabularnewline
273 & 43410 & 37027.4689037918 & 6382.53109620819 \tabularnewline
274 & 104838 & 99381.7756115732 & 5456.22438842677 \tabularnewline
275 & 62215 & 51962.5147101399 & 10252.4852898601 \tabularnewline
276 & 69304 & 68827.6577615713 & 476.342238428647 \tabularnewline
277 & 53117 & 32712.9255300096 & 20404.0744699904 \tabularnewline
278 & 19764 & 15464.0959959848 & 4299.90400401519 \tabularnewline
279 & 86680 & 93263.8814051549 & -6583.88140515492 \tabularnewline
280 & 84105 & 71404.4933961303 & 12700.5066038697 \tabularnewline
281 & 77945 & 75065.7474340703 & 2879.25256592972 \tabularnewline
282 & 89113 & 58140.980211269 & 30972.019788731 \tabularnewline
283 & 91005 & 79239.2593779772 & 11765.7406220228 \tabularnewline
284 & 40248 & 28709.720189724 & 11538.279810276 \tabularnewline
285 & 64187 & 58931.6516205479 & 5255.34837945209 \tabularnewline
286 & 50857 & 42743.0683284166 & 8113.93167158338 \tabularnewline
287 & 56613 & 47437.695151629 & 9175.30484837102 \tabularnewline
288 & 62792 & 66082.9783867718 & -3290.97838677182 \tabularnewline
289 & 72535 & 81811.60300265 & -9276.60300264995 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189987&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]210907[/C][C]189608.345009328[/C][C]21298.6549906719[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]143163.49817061[/C][C]-22181.4981706103[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]169148.618629749[/C][C]7359.3813702512[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]222867.787196281[/C][C]-43546.7871962807[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]112144.160938947[/C][C]11040.8390610527[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]68026.2835719099[/C][C]-15280.2835719099[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]373808.718904973[/C][C]11725.2810950269[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]28630.619918164[/C][C]4539.38008183604[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]82333.4399983002[/C][C]19311.5600016998[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]167610.846756216[/C][C]-18549.8467562156[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]147757.1336051[/C][C]17688.8663949005[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]241190.44603317[/C][C]-3977.44603317[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]168205.017541864[/C][C]5120.98245813574[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]137392.069645559[/C][C]-4261.06964555943[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]219115.954515562[/C][C]39757.0454844381[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]173207.137143202[/C][C]6875.86285679847[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]366787.292272133[/C][C]-41988.2922721329[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]206748.435615196[/C][C]24215.5643848039[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]230684.600240006[/C][C]6100.39975999422[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]134762.874767546[/C][C]710.125232453554[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]196089.516729018[/C][C]6835.48327098244[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]198584.950027241[/C][C]16562.0499727585[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]258451.498268682[/C][C]85845.5017313181[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]146348.716925167[/C][C]7586.28307483286[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]155392.930884105[/C][C]-22449.9308841053[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]227290.180188182[/C][C]-52566.1801881819[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]212482.93950013[/C][C]-38067.9395001299[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]256280.450984083[/C][C]-30732.4509840831[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]206296.546789678[/C][C]17335.4532103217[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]129842.37561568[/C][C]-5025.37561568024[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]269033.702987835[/C][C]-47335.7029878354[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]219412.613180463[/C][C]-8645.6131804632[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]175837.944838158[/C][C]-5571.94483815752[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]256027.906995677[/C][C]4533.09300432325[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]86353.7787618281[/C][C]-1500.77876182813[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]291745.605069405[/C][C]2678.39493059455[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]96540.9206155774[/C][C]4470.07938442255[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]208983.603360469[/C][C]6657.39663953146[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]287314.403657035[/C][C]37792.5963429646[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]8074.44056482022[/C][C]-898.440564820223[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]157733.525523042[/C][C]9808.47447695818[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]83642.0514959177[/C][C]22765.9485040823[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]107417.130218649[/C][C]-10857.1302186493[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]270186.91170701[/C][C]-4417.91170700963[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]280878.570225415[/C][C]-11227.5702254146[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]151525.850365619[/C][C]-2413.85036561866[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]187884.203115557[/C][C]-12060.2031155569[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]170870.686001169[/C][C]-17999.6860011694[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]101097.34134295[/C][C]10567.65865705[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]168882.463456405[/C][C]-52474.4634564047[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]325157.549387128[/C][C]37143.450612872[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]104490.342135747[/C][C]-25690.3421357468[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]186966.836477121[/C][C]-3799.8364771212[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]320551.557976692[/C][C]-42586.5579766918[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]189936.852727784[/C][C]-39307.8527277837[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]191919.270547128[/C][C]-23110.2705471281[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]39755.1211521562[/C][C]-15567.1211521562[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]299251.249723537[/C][C]30015.7502764633[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]66258.0146620562[/C][C]-1229.01466205623[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]112606.818937684[/C][C]-11509.8189376842[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]208974.508969695[/C][C]9971.49103030473[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]238755.022260335[/C][C]5296.97773966479[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]330763.632063825[/C][C]10806.367936175[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]100211.739947353[/C][C]3385.26005264679[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]264804.003441408[/C][C]-31476.0034414077[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]273054.043256453[/C][C]-16592.0432564526[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]158682.230069398[/C][C]47478.7699306021[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]321268.37262478[/C][C]-9795.37262477956[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]263954.697776466[/C][C]-28154.6977764656[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]205856.526695903[/C][C]-27917.5266959032[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]194544.722476535[/C][C]12631.2775234647[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]182592.503411825[/C][C]13960.4965881751[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]164858.036515592[/C][C]9325.96348440828[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]148732.892327114[/C][C]-5486.89232711446[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]219808.775500812[/C][C]-32249.7755008119[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]182015.742899717[/C][C]5665.25710028265[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]135913.04471131[/C][C]-16897.0447113098[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]193510.067266788[/C][C]-11318.067266788[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]90394.832576842[/C][C]-16828.832576842[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]191528.290685584[/C][C]3450.70931441571[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]158528.722477655[/C][C]8959.27752234479[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]154336.762468408[/C][C]-10580.7624684077[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]207047.45834117[/C][C]68493.5416588298[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]228136.441738821[/C][C]15062.558261179[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]184196.218655719[/C][C]-1197.21865571864[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]141183.609756441[/C][C]-5534.60975644122[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]151233.305049962[/C][C]1065.69495003765[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]133097.061128608[/C][C]-12876.0611286078[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]269687.625121955[/C][C]76797.374878045[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]166830.144395076[/C][C]-21040.1443950763[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]154511.578010138[/C][C]38827.421989862[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]101709.594007975[/C][C]-20756.5940079755[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]137632.81408174[/C][C]-14858.8140817405[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]111231.730139589[/C][C]19353.2698604108[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]102775.526722041[/C][C]9835.47327795902[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]278638.845057735[/C][C]7829.15494226518[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]222954.394826733[/C][C]18111.6051732672[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]199422.515398974[/C][C]-50976.5153989737[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]186015.234299451[/C][C]18697.7657005492[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]175281.964220347[/C][C]6797.03577965279[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]142656.192595492[/C][C]-2312.19259549207[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]215351.137290297[/C][C]5164.86270970319[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]210629.199057063[/C][C]32430.8009429367[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]149896.139235005[/C][C]12868.8607649948[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]176169.637145887[/C][C]6443.362854113[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]235283.386545188[/C][C]-3145.38654518839[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]294197.685886207[/C][C]-28879.685886207[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]85379.225269009[/C][C]194.774730990997[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]300619.994377998[/C][C]10219.005622002[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]199608.40460978[/C][C]25451.5953902201[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]249055.846235505[/C][C]-16738.8462355047[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]153855.283905725[/C][C]-8889.2839057252[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]53380.2839320376[/C][C]-10093.2839320376[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]151156.147792591[/C][C]4597.85220740899[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]179952.388345007[/C][C]-15243.3883450067[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]212305.67453777[/C][C]-10365.6745377696[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]230150.843781156[/C][C]5303.15621884362[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]184930.981412038[/C][C]35870.0185879623[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]161620.776614763[/C][C]-62154.7766147634[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]100880.68182418[/C][C]-8219.68182418035[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]131508.762892266[/C][C]1819.23710773424[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]90130.2913953462[/C][C]-28769.2913953462[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]154787.747716187[/C][C]-28857.7477161869[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]139965.726155311[/C][C]-39215.7261553113[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]199355.12727791[/C][C]25193.8727220896[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]73302.8879784523[/C][C]9013.11202154775[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]95733.8949171776[/C][C]6276.10508282236[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]99040.9645478477[/C][C]2482.03545215228[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]195469.972330427[/C][C]48041.027669573[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]20684.880565955[/C][C]2253.11943404503[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]41181.2886777993[/C][C]384.711322200707[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]166072.769705658[/C][C]-13598.7697056584[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]48210.6559763284[/C][C]13646.3440236716[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]135768.8616935[/C][C]-35845.8616935[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]137621.591138349[/C][C]-5134.59113834947[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]324286.614038363[/C][C]-6892.6140383629[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]21796.6953016271[/C][C]-742.695301627124[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]197593.538196546[/C][C]12047.4618034541[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]33910.1118921077[/C][C]-11262.1118921077[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]35522.9657791326[/C][C]-4108.96577913265[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]65250.5637461765[/C][C]-18552.5637461765[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]141878.459924201[/C][C]-10180.4599242012[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]77266.853712128[/C][C]14468.1462878721[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]277509.529252606[/C][C]-32760.5292526055[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]152938.070921762[/C][C]31571.9290782375[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]86105.3953338669[/C][C]-6242.39533386684[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]103045.817783076[/C][C]25377.182216924[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]112765.612803976[/C][C]-14926.6128039756[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]54155.9515575675[/C][C]-15941.9515575675[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]145952.823925897[/C][C]5148.17607410341[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]248368.451231913[/C][C]24089.5487680874[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]178620.31718826[/C][C]-6126.31718825962[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]113702.07255699[/C][C]-5659.07255699029[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]331367.299354546[/C][C]-3260.299354546[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]282783.982782782[/C][C]-32204.982782782[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]332153.208614774[/C][C]18913.791385226[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]156173.893045927[/C][C]1841.10695407262[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]87490.0122410511[/C][C]11375.9877589489[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]110515.478134519[/C][C]-25076.4781345191[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]221145.017762298[/C][C]8096.9822377018[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]350750.659553977[/C][C]868.34044602312[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]73541.0248114582[/C][C]10665.9751885418[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]122792.387687964[/C][C]-2347.38768796411[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]303799.415691222[/C][C]20798.5843087776[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]144926.754126632[/C][C]-13857.7541266324[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]188701.846882183[/C][C]15569.1531178174[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]178778.31574919[/C][C]-13235.3157491896[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]117920.589346861[/C][C]23801.4106531393[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]113825.626945657[/C][C]2222.37305434286[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]175920.618951132[/C][C]74126.3810488685[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]290155.532556363[/C][C]9619.46744363676[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]185054.163823939[/C][C]10783.8361760609[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]126414.17571631[/C][C]46845.8242836898[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]222091.502541976[/C][C]32396.497458024[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]143629.994162523[/C][C]-39240.9941625228[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]138905.258999012[/C][C]-2821.25899901245[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]223906.285329451[/C][C]-24430.2853294515[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]79762.0832405957[/C][C]12736.9167594042[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]222673.923714301[/C][C]1656.07628569863[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]108446.802947614[/C][C]27334.1970523862[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]85466.5201384414[/C][C]-11058.5201384414[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]103377.942459695[/C][C]-22137.9424596946[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]12310.5353299182[/C][C]2377.46467008184[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]167981.227875789[/C][C]13651.772124211[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]270882.930703425[/C][C]973.069296574556[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]8659.00071437811[/C][C]-1460.00071437811[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]51360.4072830372[/C][C]-4700.40728303716[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]10046.1906572931[/C][C]7500.80934270688[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]136919.016574045[/C][C]-3551.01657404511[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]63748.6495830404[/C][C]31478.3504169596[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]106022.844582434[/C][C]46578.1554175664[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]97677.6488651539[/C][C]468.35113484608[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]89102.9658358318[/C][C]-9483.96583583181[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]72679.4028058271[/C][C]-13485.4028058271[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]160929.09861365[/C][C]-20987.0986136499[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]106786.48701925[/C][C]11825.5129807498[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]87657.3598458519[/C][C]-14777.3598458518[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]62365.9944539487[/C][C]3109.00554605126[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]121942.08077975[/C][C]-22299.0807797503[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]69168.1317497049[/C][C]2796.86825029514[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]71806.6719584286[/C][C]5465.32804157137[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]42473.1097806715[/C][C]6815.89021932854[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]112499.65179357[/C][C]22631.3482064295[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]112612.805773604[/C][C]-4166.80577360375[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]112809.582168558[/C][C]-23063.5821685583[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]48065.4999890486[/C][C]-3769.49998904857[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]72704.8208565408[/C][C]4943.17914345918[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]148619.040172813[/C][C]32908.9598271875[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]110811.993635788[/C][C]23207.0063642118[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]127378.602027905[/C][C]-3314.60202790497[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]92346.1452527092[/C][C]283.854747290795[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]89116.3451427237[/C][C]32731.6548572763[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]52161.0510516363[/C][C]753.948948363691[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]84771.9777346394[/C][C]-2899.97773463939[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]74390.777299517[/C][C]-15409.777299517[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]67554.9060658628[/C][C]-14039.9060658628[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]90517.1332723608[/C][C]-29705.1332723608[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]63766.4721167013[/C][C]-7391.47211670135[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]71745.7399426278[/C][C]-6255.73994262779[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]66211.8710427086[/C][C]14737.1289572914[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]92392.5277124837[/C][C]-16090.5277124837[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]145154.639106136[/C][C]-41143.6391061355[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]136846.570810523[/C][C]-38742.5708105227[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]71376.8758927719[/C][C]-3387.87589277195[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]30276.2401764047[/C][C]712.759823595252[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]132451.045046187[/C][C]3006.95495381327[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]61353.6792686996[/C][C]12150.3207313004[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]80291.5340009904[/C][C]-17168.5340009904[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]66241.8028282704[/C][C]-4987.80282827042[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]95401.1021599422[/C][C]-20487.1021599422[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]41893.3559183981[/C][C]-10119.3559183981[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]85460.2715761812[/C][C]-4023.27157618121[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]133183.477184265[/C][C]-45997.4771842652[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]55892.825166415[/C][C]-5802.825166415[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]79838.0493439801[/C][C]-14093.0493439801[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]55416.6388270945[/C][C]1236.3611729055[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]108438.594925465[/C][C]49960.4050745354[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]58398.7460828004[/C][C]-11943.7460828004[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]85138.5374050516[/C][C]-11514.5374050516[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]51203.9109261817[/C][C]-12808.9109261817[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]85767.2603928195[/C][C]6131.73960718052[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]133835.471767003[/C][C]5690.5282329971[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]59115.936164932[/C][C]-6951.936164932[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]53308.3961054262[/C][C]-1741.39610542621[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]77548.1317566683[/C][C]-6997.13175666832[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]93733.8387853952[/C][C]-8877.83878539521[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]117052.40748972[/C][C]-14514.4074897201[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]79482.243810774[/C][C]7195.75618922602[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]73827.7748912171[/C][C]11881.2251087829[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]44090.5605709677[/C][C]-9428.56057096775[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]146193.218646554[/C][C]4386.78135344596[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]96714.9226160544[/C][C]2896.07738394559[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]13719.0966500056[/C][C]5629.90334999443[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]94101.3943024594[/C][C]5271.60569754061[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]101363.991327961[/C][C]-15133.9913279613[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]26362.2606478394[/C][C]4474.73935216061[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]39434.3003003959[/C][C]-7728.30030039589[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]69576.4846623181[/C][C]20229.5153376819[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]51190.3318047145[/C][C]10897.6681952855[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]38543.2867972134[/C][C]1607.71320278658[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]35649.6266781231[/C][C]-8015.62667812314[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]75369.3414612191[/C][C]1620.65853878086[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]22012.9600595701[/C][C]15447.0399404299[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]52433.2965491316[/C][C]1723.70345086841[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]55838.6152974983[/C][C]-5976.61529749832[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]80549.4372250641[/C][C]3787.56277493593[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]77252.4974032238[/C][C]-13077.4974032238[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]59103.5861436377[/C][C]278.413856362269[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]85914.8949924295[/C][C]33393.1050075705[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]83712.0034009521[/C][C]-7010.00340095211[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]103118.013726774[/C][C]306.98627322623[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]67747.9250536465[/C][C]2596.07494635353[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]37027.4689037918[/C][C]6382.53109620819[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]99381.7756115732[/C][C]5456.22438842677[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]51962.5147101399[/C][C]10252.4852898601[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]68827.6577615713[/C][C]476.342238428647[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]32712.9255300096[/C][C]20404.0744699904[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]15464.0959959848[/C][C]4299.90400401519[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]93263.8814051549[/C][C]-6583.88140515492[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]71404.4933961303[/C][C]12700.5066038697[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]75065.7474340703[/C][C]2879.25256592972[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]58140.980211269[/C][C]30972.019788731[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]79239.2593779772[/C][C]11765.7406220228[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]28709.720189724[/C][C]11538.279810276[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]58931.6516205479[/C][C]5255.34837945209[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]42743.0683284166[/C][C]8113.93167158338[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]47437.695151629[/C][C]9175.30484837102[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]66082.9783867718[/C][C]-3290.97838677182[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]81811.60300265[/C][C]-9276.60300264995[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189987&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189987&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
1210907189608.34500932821298.6549906719
2120982143163.49817061-22181.4981706103
3176508169148.6186297497359.3813702512
4179321222867.787196281-43546.7871962807
5123185112144.16093894711040.8390610527
65274668026.2835719099-15280.2835719099
7385534373808.71890497311725.2810950269
83317028630.6199181644539.38008183604
910164582333.439998300219311.5600016998
10149061167610.846756216-18549.8467562156
11165446147757.133605117688.8663949005
12237213241190.44603317-3977.44603317
13173326168205.0175418645120.98245813574
14133131137392.069645559-4261.06964555943
15258873219115.95451556239757.0454844381
16180083173207.1371432026875.86285679847
17324799366787.292272133-41988.2922721329
18230964206748.43561519624215.5643848039
19236785230684.6002400066100.39975999422
20135473134762.874767546710.125232453554
21202925196089.5167290186835.48327098244
22215147198584.95002724116562.0499727585
23344297258451.49826868285845.5017313181
24153935146348.7169251677586.28307483286
25132943155392.930884105-22449.9308841053
26174724227290.180188182-52566.1801881819
27174415212482.93950013-38067.9395001299
28225548256280.450984083-30732.4509840831
29223632206296.54678967817335.4532103217
30124817129842.37561568-5025.37561568024
31221698269033.702987835-47335.7029878354
32210767219412.613180463-8645.6131804632
33170266175837.944838158-5571.94483815752
34260561256027.9069956774533.09300432325
358485386353.7787618281-1500.77876182813
36294424291745.6050694052678.39493059455
3710101196540.92061557744470.07938442255
38215641208983.6033604696657.39663953146
39325107287314.40365703537792.5963429646
4071768074.44056482022-898.440564820223
41167542157733.5255230429808.47447695818
4210640883642.051495917722765.9485040823
4396560107417.130218649-10857.1302186493
44265769270186.91170701-4417.91170700963
45269651280878.570225415-11227.5702254146
46149112151525.850365619-2413.85036561866
47175824187884.203115557-12060.2031155569
48152871170870.686001169-17999.6860011694
49111665101097.3413429510567.65865705
50116408168882.463456405-52474.4634564047
51362301325157.54938712837143.450612872
5278800104490.342135747-25690.3421357468
53183167186966.836477121-3799.8364771212
54277965320551.557976692-42586.5579766918
55150629189936.852727784-39307.8527277837
56168809191919.270547128-23110.2705471281
572418839755.1211521562-15567.1211521562
58329267299251.24972353730015.7502764633
596502966258.0146620562-1229.01466205623
60101097112606.818937684-11509.8189376842
61218946208974.5089696959971.49103030473
62244052238755.0222603355296.97773966479
63341570330763.63206382510806.367936175
64103597100211.7399473533385.26005264679
65233328264804.003441408-31476.0034414077
66256462273054.043256453-16592.0432564526
67206161158682.23006939847478.7699306021
68311473321268.37262478-9795.37262477956
69235800263954.697776466-28154.6977764656
70177939205856.526695903-27917.5266959032
71207176194544.72247653512631.2775234647
72196553182592.50341182513960.4965881751
73174184164858.0365155929325.96348440828
74143246148732.892327114-5486.89232711446
75187559219808.775500812-32249.7755008119
76187681182015.7428997175665.25710028265
77119016135913.04471131-16897.0447113098
78182192193510.067266788-11318.067266788
797356690394.832576842-16828.832576842
80194979191528.2906855843450.70931441571
81167488158528.7224776558959.27752234479
82143756154336.762468408-10580.7624684077
83275541207047.4583411768493.5416588298
84243199228136.44173882115062.558261179
85182999184196.218655719-1197.21865571864
86135649141183.609756441-5534.60975644122
87152299151233.3050499621065.69495003765
88120221133097.061128608-12876.0611286078
89346485269687.62512195576797.374878045
90145790166830.144395076-21040.1443950763
91193339154511.57801013838827.421989862
9280953101709.594007975-20756.5940079755
93122774137632.81408174-14858.8140817405
94130585111231.73013958919353.2698604108
95112611102775.5267220419835.47327795902
96286468278638.8450577357829.15494226518
97241066222954.39482673318111.6051732672
98148446199422.515398974-50976.5153989737
99204713186015.23429945118697.7657005492
100182079175281.9642203476797.03577965279
101140344142656.192595492-2312.19259549207
102220516215351.1372902975164.86270970319
103243060210629.19905706332430.8009429367
104162765149896.13923500512868.8607649948
105182613176169.6371458876443.362854113
106232138235283.386545188-3145.38654518839
107265318294197.685886207-28879.685886207
1088557485379.225269009194.774730990997
109310839300619.99437799810219.005622002
110225060199608.4046097825451.5953902201
111232317249055.846235505-16738.8462355047
112144966153855.283905725-8889.2839057252
1134328753380.2839320376-10093.2839320376
114155754151156.1477925914597.85220740899
115164709179952.388345007-15243.3883450067
116201940212305.67453777-10365.6745377696
117235454230150.8437811565303.15621884362
118220801184930.98141203835870.0185879623
11999466161620.776614763-62154.7766147634
12092661100880.68182418-8219.68182418035
121133328131508.7628922661819.23710773424
1226136190130.2913953462-28769.2913953462
123125930154787.747716187-28857.7477161869
124100750139965.726155311-39215.7261553113
125224549199355.1272779125193.8727220896
1268231673302.88797845239013.11202154775
12710201095733.89491717766276.10508282236
12810152399040.96454784772482.03545215228
129243511195469.97233042748041.027669573
1302293820684.8805659552253.11943404503
1314156641181.2886777993384.711322200707
132152474166072.769705658-13598.7697056584
1336185748210.655976328413646.3440236716
13499923135768.8616935-35845.8616935
135132487137621.591138349-5134.59113834947
136317394324286.614038363-6892.6140383629
1372105421796.6953016271-742.695301627124
138209641197593.53819654612047.4618034541
1392264833910.1118921077-11262.1118921077
1403141435522.9657791326-4108.96577913265
1414669865250.5637461765-18552.5637461765
142131698141878.459924201-10180.4599242012
1439173577266.85371212814468.1462878721
144244749277509.529252606-32760.5292526055
145184510152938.07092176231571.9290782375
1467986386105.3953338669-6242.39533386684
147128423103045.81778307625377.182216924
14897839112765.612803976-14926.6128039756
1493821454155.9515575675-15941.9515575675
150151101145952.8239258975148.17607410341
151272458248368.45123191324089.5487680874
152172494178620.31718826-6126.31718825962
153108043113702.07255699-5659.07255699029
154328107331367.299354546-3260.299354546
155250579282783.982782782-32204.982782782
156351067332153.20861477418913.791385226
157158015156173.8930459271841.10695407262
1589886687490.012241051111375.9877589489
15985439110515.478134519-25076.4781345191
160229242221145.0177622988096.9822377018
161351619350750.659553977868.34044602312
1628420773541.024811458210665.9751885418
163120445122792.387687964-2347.38768796411
164324598303799.41569122220798.5843087776
165131069144926.754126632-13857.7541266324
166204271188701.84688218315569.1531178174
167165543178778.31574919-13235.3157491896
168141722117920.58934686123801.4106531393
169116048113825.6269456572222.37305434286
170250047175920.61895113274126.3810488685
171299775290155.5325563639619.46744363676
172195838185054.16382393910783.8361760609
173173260126414.1757163146845.8242836898
174254488222091.50254197632396.497458024
175104389143629.994162523-39240.9941625228
176136084138905.258999012-2821.25899901245
177199476223906.285329451-24430.2853294515
1789249979762.083240595712736.9167594042
179224330222673.9237143011656.07628569863
180135781108446.80294761427334.1970523862
1817440885466.5201384414-11058.5201384414
18281240103377.942459695-22137.9424596946
1831468812310.53532991822377.46467008184
184181633167981.22787578913651.772124211
185271856270882.930703425973.069296574556
18671998659.00071437811-1460.00071437811
1874666051360.4072830372-4700.40728303716
1881754710046.19065729317500.80934270688
189133368136919.016574045-3551.01657404511
1909522763748.649583040431478.3504169596
191152601106022.84458243446578.1554175664
1929814697677.6488651539468.35113484608
1937961989102.9658358318-9483.96583583181
1945919472679.4028058271-13485.4028058271
195139942160929.09861365-20987.0986136499
196118612106786.4870192511825.5129807498
1977288087657.3598458519-14777.3598458518
1986547562365.99445394873109.00554605126
19999643121942.08077975-22299.0807797503
2007196569168.13174970492796.86825029514
2017727271806.67195842865465.32804157137
2024928942473.10978067156815.89021932854
203135131112499.6517935722631.3482064295
204108446112612.805773604-4166.80577360375
20589746112809.582168558-23063.5821685583
2064429648065.4999890486-3769.49998904857
2077764872704.82085654084943.17914345918
208181528148619.04017281332908.9598271875
209134019110811.99363578823207.0063642118
210124064127378.602027905-3314.60202790497
2119263092346.1452527092283.854747290795
21212184889116.345142723732731.6548572763
2135291552161.0510516363753.948948363691
2148187284771.9777346394-2899.97773463939
2155898174390.777299517-15409.777299517
2165351567554.9060658628-14039.9060658628
2176081290517.1332723608-29705.1332723608
2185637563766.4721167013-7391.47211670135
2196549071745.7399426278-6255.73994262779
2208094966211.871042708614737.1289572914
2217630292392.5277124837-16090.5277124837
222104011145154.639106136-41143.6391061355
22398104136846.570810523-38742.5708105227
2246798971376.8758927719-3387.87589277195
2253098930276.2401764047712.759823595252
226135458132451.0450461873006.95495381327
2277350461353.679268699612150.3207313004
2286312380291.5340009904-17168.5340009904
2296125466241.8028282704-4987.80282827042
2307491495401.1021599422-20487.1021599422
2313177441893.3559183981-10119.3559183981
2328143785460.2715761812-4023.27157618121
23387186133183.477184265-45997.4771842652
2345009055892.825166415-5802.825166415
2356574579838.0493439801-14093.0493439801
2365665355416.63882709451236.3611729055
237158399108438.59492546549960.4050745354
2384645558398.7460828004-11943.7460828004
2397362485138.5374050516-11514.5374050516
2403839551203.9109261817-12808.9109261817
2419189985767.26039281956131.73960718052
242139526133835.4717670035690.5282329971
2435216459115.936164932-6951.936164932
2445156753308.3961054262-1741.39610542621
2457055177548.1317566683-6997.13175666832
2468485693733.8387853952-8877.83878539521
247102538117052.40748972-14514.4074897201
2488667879482.2438107747195.75618922602
2498570973827.774891217111881.2251087829
2503466244090.5605709677-9428.56057096775
251150580146193.2186465544386.78135344596
2529961196714.92261605442896.07738394559
2531934913719.09665000565629.90334999443
2549937394101.39430245945271.60569754061
25586230101363.991327961-15133.9913279613
2563083726362.26064783944474.73935216061
2573170639434.3003003959-7728.30030039589
2588980669576.484662318120229.5153376819
2596208851190.331804714510897.6681952855
2604015138543.28679721341607.71320278658
2612763435649.6266781231-8015.62667812314
2627699075369.34146121911620.65853878086
2633746022012.960059570115447.0399404299
2645415752433.29654913161723.70345086841
2654986255838.6152974983-5976.61529749832
2668433780549.43722506413787.56277493593
2676417577252.4974032238-13077.4974032238
2685938259103.5861436377278.413856362269
26911930885914.894992429533393.1050075705
2707670283712.0034009521-7010.00340095211
271103425103118.013726774306.98627322623
2727034467747.92505364652596.07494635353
2734341037027.46890379186382.53109620819
27410483899381.77561157325456.22438842677
2756221551962.514710139910252.4852898601
2766930468827.6577615713476.342238428647
2775311732712.925530009620404.0744699904
2781976415464.09599598484299.90400401519
2798668093263.8814051549-6583.88140515492
2808410571404.493396130312700.5066038697
2817794575065.74743407032879.25256592972
2828911358140.98021126930972.019788731
2839100579239.259377977211765.7406220228
2844024828709.72018972411538.279810276
2856418758931.65162054795255.34837945209
2865085742743.06832841668113.93167158338
2875661347437.6951516299175.30484837102
2886279266082.9783867718-3290.97838677182
2897253581811.60300265-9276.60300264995







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.7667838897817150.4664322204365710.233216110218285
180.6349091563936790.7301816872126420.365090843606321
190.5892812696842920.8214374606314170.410718730315709
200.4889577102364650.977915420472930.511042289763535
210.4839912846772070.9679825693544140.516008715322793
220.5786981784208040.8426036431583930.421301821579196
230.8957679889190880.2084640221618230.104232011080912
240.8516667124125310.2966665751749370.148333287587469
250.9220175324138740.1559649351722520.0779824675861262
260.9509138830908310.09817223381833760.0490861169091688
270.9485321701958780.1029356596082430.0514678298041215
280.9489899111790950.1020201776418110.0510100888209054
290.940664934379310.1186701312413810.0593350656206904
300.9245430497712660.1509139004574680.0754569502287342
310.9793798734470230.0412402531059530.0206201265529765
320.9705138836015250.0589722327969490.0294861163984745
330.9583115440597620.08337691188047550.0416884559402378
340.9422973908238890.1154052183522210.0577026091761107
350.923125430961160.153749138077680.07687456903884
360.9055201453137160.1889597093725680.0944798546862839
370.8784042330210920.2431915339578170.121595766978908
380.8464252391524270.3071495216951470.153574760847573
390.9305807931406280.1388384137187430.0694192068593717
400.9424825625868370.1150348748263260.0575174374131629
410.928008153537610.143983692924780.0719918464623898
420.9112272401618080.1775455196763840.088772759838192
430.8909375933956980.2181248132086050.109062406604302
440.8677070414024740.2645859171950530.132292958597526
450.8832127461327370.2335745077345260.116787253867263
460.8555791031332620.2888417937334750.144420896866738
470.8431325246684180.3137349506631640.156867475331582
480.8175199904866850.3649600190266310.182480009513315
490.7983199152202490.4033601695595010.201680084779751
500.9193070985749290.1613858028501420.080692901425071
510.9861993313829670.02760133723406650.0138006686170332
520.9870142458600350.02597150827992920.0129857541399646
530.9835935722552980.03281285548940340.0164064277447017
540.9931406021886520.01371879562269630.00685939781134813
550.9968146870890550.006370625821890950.00318531291094548
560.9971143071749280.005771385650143510.00288569282507176
570.9968450573319040.006309885336191270.00315494266809564
580.9970892287107670.005821542578465540.00291077128923277
590.9959695334111380.00806093317772470.00403046658886235
600.9951745619913550.009650876017290970.00482543800864549
610.9938810886057710.01223782278845760.00611891139422882
620.9922586986542310.01548260269153730.00774130134576864
630.9902957694771650.01940846104567060.00970423052283532
640.9871817860904740.02563642781905110.0128182139095255
650.9947044842499430.01059103150011440.00529551575005722
660.9937815791820670.01243684163586540.0062184208179327
670.9981800451380350.003639909723928920.00181995486196446
680.9976838005371160.004632398925767890.00231619946288394
690.9976269818571740.004746036285651430.00237301814282572
700.9978098323155710.004380335368857220.00219016768442861
710.9972640428565420.005471914286915950.00273595714345797
720.9966160123061420.006767975387716440.00338398769385822
730.9957444341983330.00851113160333450.00425556580166725
740.9943340103469320.0113319793061350.00566598965306751
750.9960092935929190.007981412814161150.00399070640708058
760.9950747904742490.009850419051501520.00492520952575076
770.9941129886876170.01177402262476610.00588701131238307
780.9930491816874180.01390163662516490.00695081831258245
790.9925288858065160.01494222838696850.00747111419348424
800.9902626486983240.01947470260335090.00973735130167547
810.9886929251173870.02261414976522520.0113070748826126
820.9858014657746860.02839706845062710.0141985342253135
830.998960919723710.002078160552580530.00103908027629027
840.9987340046455450.002531990708909740.00126599535445487
850.9982799563053090.003440087389383050.00172004369469153
860.9977039780139370.004592043972126730.00229602198606337
870.9969769072318220.006046185536356470.00302309276817824
880.9964039396339110.007192120732176940.00359606036608847
890.99991833703140.0001633259372009128.16629686004559e-05
900.999929832780960.0001403344380808847.01672190404422e-05
910.9999630097448387.39805103244827e-053.69902551622413e-05
920.9999631575708697.36848582614333e-053.68424291307167e-05
930.999951200189219.75996215789697e-054.87998107894849e-05
940.9999467575214230.0001064849571543345.32424785771671e-05
950.99992693908940.0001461218212002327.30609106001158e-05
960.9999107696628590.000178460674281548.92303371407699e-05
970.9998888909972210.0002222180055579670.000111109002778983
980.9999782118098124.35763803751156e-052.17881901875578e-05
990.9999733990352945.32019294113626e-052.66009647056813e-05
1000.9999642403764697.15192470628207e-053.57596235314103e-05
1010.9999481582870910.0001036834258180065.1841712909003e-05
1020.9999260902555780.0001478194888439987.39097444219988e-05
1030.9999602243468547.95513062908976e-053.97756531454488e-05
1040.99995009400349.98119932004906e-054.99059966002453e-05
1050.9999291771473650.000141645705270647.08228526353198e-05
1060.9999058777682610.0001882444634788089.41222317394038e-05
1070.9999459590840390.0001080818319215965.40409159607982e-05
1080.9999224239990730.0001551520018548017.75760009274006e-05
1090.9999005366887430.0001989266225142299.94633112571146e-05
1100.9999021216551390.0001957566897227859.78783448613924e-05
1110.9998939637910870.000212072417825350.000106036208912675
1120.9998617413746460.0002765172507071810.000138258625353591
1130.9998200519159070.0003598961681858560.000179948084092928
1140.9997503201245920.0004993597508162150.000249679875408108
1150.9997190620307530.0005618759384943130.000280937969247157
1160.9996449323662450.0007101352675110130.000355067633755506
1170.9995135397638320.0009729204723368740.000486460236168437
1180.9997597092290540.0004805815418922610.000240290770946131
1190.9999722369398495.55261203019355e-052.77630601509678e-05
1200.9999640563419617.18873160778071e-053.59436580389035e-05
1210.9999483191418540.0001033617162912355.16808581456176e-05
1220.999970413740075.91725198598479e-052.95862599299239e-05
1230.9999729555207655.40889584695372e-052.70444792347686e-05
1240.9999861032807192.77934385611361e-051.3896719280568e-05
1250.9999864782417882.70435164245232e-051.35217582122616e-05
1260.9999814386791693.71226416610301e-051.8561320830515e-05
1270.9999739473245295.21053509416965e-052.60526754708482e-05
1280.999963299964787.34000704401846e-053.67000352200923e-05
1290.9999909950111581.80099776839072e-059.00498884195358e-06
1300.9999868101891772.63796216464776e-051.31898108232388e-05
1310.9999807802931253.84394137507545e-051.92197068753772e-05
1320.9999768448849254.63102301509384e-052.31551150754692e-05
1330.9999693361510686.13276978635771e-053.06638489317886e-05
1340.9999824900658253.50198683505088e-051.75099341752544e-05
1350.9999766001221324.6799755736844e-052.3399877868422e-05
1360.9999691795669216.16408661584514e-053.08204330792257e-05
1370.9999557351558498.85296883025555e-054.42648441512778e-05
1380.9999421892907360.000115621418527895.7810709263945e-05
1390.999933440389570.000133119220859666.655961042983e-05
1400.9999088307930460.0001823384139079859.11692069539926e-05
1410.9999008326131050.0001983347737900079.91673868950037e-05
1420.999866311363770.0002673772724607340.000133688636230367
1430.999861044982240.0002779100355198290.000138955017759915
1440.9999234848612320.0001530302775356817.65151387678407e-05
1450.9999498939432550.0001002121134896765.01060567448379e-05
1460.9999327263721160.0001345472557672966.72736278836479e-05
1470.9999542114689119.15770621785644e-054.57885310892822e-05
1480.999949507022450.0001009859551007115.04929775503553e-05
1490.9999451932524570.0001096134950868835.48067475434415e-05
1500.999924863144930.0001502737101396487.51368550698238e-05
1510.9999374351312550.0001251297374897386.25648687448692e-05
1520.9999155835024420.0001688329951167838.44164975583913e-05
1530.9998901773294030.0002196453411938820.000109822670596941
1540.9998503630969770.0002992738060452970.000149636903022648
1550.9999205034838590.000158993032282597.94965161412948e-05
1560.9999033406992620.0001933186014752039.66593007376014e-05
1570.9998635278537070.0002729442925854140.000136472146292707
1580.9998707156663490.0002585686673013060.000129284333650653
1590.9999053546676310.0001892906647385329.46453323692658e-05
1600.9998792962222030.0002414075555939690.000120703777796984
1610.9998348411368150.0003303177263696430.000165158863184821
1620.9998134017976630.0003731964046737880.000186598202336894
1630.9998118184254280.0003763631491441850.000188181574572092
1640.9998040410977420.0003919178045150770.000195958902257538
1650.9997991562043260.0004016875913488940.000200843795674447
1660.9997947897322060.00041042053558740.0002052102677937
1670.9997352130679760.0005295738640479130.000264786932023956
1680.9997233081116420.0005533837767162160.000276691888358108
1690.9996412538068680.0007174923862645630.000358746193132281
1700.9999915598799691.68802400619539e-058.44012003097695e-06
1710.9999884214278722.31571442556033e-051.15785721278016e-05
1720.9999876006969342.47986061324069e-051.23993030662035e-05
1730.9999970758432725.84831345575322e-062.92415672787661e-06
1740.9999994763937351.04721253082838e-065.23606265414192e-07
1750.9999996064935067.87012988568139e-073.93506494284069e-07
1760.9999994118218431.17635631389575e-065.88178156947873e-07
1770.9999993632837781.27343244329131e-066.36716221645655e-07
1780.9999992327207831.53455843422112e-067.67279217110561e-07
1790.9999988414433972.31711320514419e-061.15855660257209e-06
1800.9999990953548161.80929036865321e-069.04645184326607e-07
1810.9999986805078472.63898430637354e-061.31949215318677e-06
1820.9999992174970271.56500594575389e-067.82502972876947e-07
1830.999998743932722.51213455990824e-061.25606727995412e-06
1840.999998647987542.70402492013471e-061.35201246006736e-06
1850.9999984008475613.19830487823613e-061.59915243911806e-06
1860.9999976258818164.74823636783121e-062.37411818391561e-06
1870.999996842844666.31431068056106e-063.15715534028053e-06
1880.9999951031435679.79371286563292e-064.89685643281646e-06
1890.9999930669103581.38661792838916e-056.93308964194578e-06
1900.9999947163729091.05672541820914e-055.28362709104571e-06
1910.9999998671990192.65601961037097e-071.32800980518548e-07
1920.9999997735741334.52851733271738e-072.26425866635869e-07
1930.9999996264015657.47196869006189e-073.73598434503094e-07
1940.9999994088806821.18223863693675e-065.91119318468377e-07
1950.9999993824293571.23514128524528e-066.17570642622642e-07
1960.999999416690331.1666193394981e-065.83309669749048e-07
1970.9999992820992891.43580142108338e-067.17900710541692e-07
1980.9999988813244412.23735111743572e-061.11867555871786e-06
1990.9999989248235672.15035286594949e-061.07517643297474e-06
2000.9999984334756443.13304871191637e-061.56652435595819e-06
2010.9999977907673144.41846537190764e-062.20923268595382e-06
2020.9999964868884957.02622301047123e-063.51311150523562e-06
2030.9999961617451817.67650963876113e-063.83825481938057e-06
2040.9999937233014781.25533970432676e-056.27669852163379e-06
2050.9999909032877151.81934245707018e-059.09671228535092e-06
2060.9999857802673252.8439465350664e-051.4219732675332e-05
2070.9999778311176924.43377646150028e-052.21688823075014e-05
2080.999994967919091.00641618192196e-055.03208090960978e-06
2090.999997156323875.6873522599566e-062.8436761299783e-06
2100.9999952442102059.51157959059984e-064.75578979529992e-06
2110.9999928223903351.4355219330748e-057.17760966537399e-06
2120.9999978031949054.39361019048612e-062.19680509524306e-06
2130.9999963400864847.31982703189457e-063.65991351594729e-06
2140.9999939369255291.21261489423799e-056.06307447118995e-06
2150.9999902701740641.9459651871777e-059.7298259358885e-06
2160.9999858378696022.83242607965649e-051.41621303982824e-05
2170.9999939018828491.21962343028074e-056.09811715140368e-06
2180.9999897132174532.05735650946547e-051.02867825473273e-05
2190.9999834017063623.31965872763401e-051.659829363817e-05
2200.9999758565320844.82869358328097e-052.41434679164048e-05
2210.9999703524169665.92951660690538e-052.96475830345269e-05
2220.9999924740275611.50519448776407e-057.52597243882037e-06
2230.9999938875370531.22249258943294e-056.11246294716469e-06
2240.9999894580410412.10839179182084e-051.05419589591042e-05
2250.9999817933511483.64132977035325e-051.82066488517663e-05
2260.9999738623763295.22752473417686e-052.61376236708843e-05
2270.999963150649487.36987010402022e-053.68493505201011e-05
2280.9999569489281278.61021437451279e-054.30510718725639e-05
2290.9999275138892460.000144972221508397.24861107541948e-05
2300.9999568799633768.62400732475749e-054.31200366237874e-05
2310.9999583485953788.33028092435449e-054.16514046217724e-05
2320.9999282613296050.000143477340789557.17386703947748e-05
2330.9999996771904736.45619054370868e-073.22809527185434e-07
2340.999999372258321.25548336008262e-066.27741680041312e-07
2350.9999987543311752.49133764978124e-061.24566882489062e-06
2360.9999975590445884.88191082485698e-062.44095541242849e-06
2370.9999999933241661.33516676799875e-086.67583383999377e-09
2380.9999999841076033.17847930239303e-081.58923965119652e-08
2390.9999999648339027.03321964939287e-083.51660982469643e-08
2400.9999999384806971.23038606619824e-076.1519303309912e-08
2410.9999998666700622.66659875586912e-071.33329937793456e-07
2420.9999997861246674.27750665154258e-072.13875332577129e-07
2430.9999995816666748.3666665286282e-074.1833332643141e-07
2440.9999990956533131.80869337419069e-069.04346687095346e-07
2450.9999986791071472.6417857056795e-061.32089285283975e-06
2460.9999974832357045.0335285924052e-062.5167642962026e-06
2470.9999977313130244.53737395161886e-062.26868697580943e-06
2480.9999958896392638.22072147394009e-064.11036073697005e-06
2490.9999925737075521.48525848950474e-057.42629244752372e-06
2500.9999908063756031.83872487948598e-059.19362439742992e-06
2510.9999845359052953.09281894107658e-051.54640947053829e-05
2520.9999749826835925.00346328165593e-052.50173164082796e-05
2530.9999445722316810.0001108555366372045.54277683186018e-05
2540.9998819209908030.0002361580183945850.000118079009197293
2550.9998906534112040.0002186931775927340.000109346588796367
2560.9997600175767970.0004799648464050750.000239982423202537
2570.9996814563836060.000637087232788450.000318543616394225
2580.9997874177677440.0004251644645128820.000212582232256441
2590.9995430838052050.0009138323895899390.00045691619479497
2600.9991771698100520.001645660379895210.000822830189947604
2610.9987628284910880.002474343017824870.00123717150891243
2620.9973089572680850.005382085463829330.00269104273191466
2630.9965742603911950.00685147921760980.0034257396088049
2640.9970672304992670.005865539001464970.00293276950073249
2650.9954792155355860.009041568928827020.00452078446441351
2660.9906573923175950.01868521536481050.00934260768240527
2670.9822133705932030.03557325881359490.0177866294067974
2680.9686631488344880.06267370233102380.0313368511655119
2690.9999392211121430.0001215577757143826.07788878571909e-05
2700.9999548428216419.0314356718228e-054.5157178359114e-05
2710.999614807741440.0007703845171203280.000385192258560164
2720.9981819950119690.003636009976061330.00181800498803067

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
17 & 0.766783889781715 & 0.466432220436571 & 0.233216110218285 \tabularnewline
18 & 0.634909156393679 & 0.730181687212642 & 0.365090843606321 \tabularnewline
19 & 0.589281269684292 & 0.821437460631417 & 0.410718730315709 \tabularnewline
20 & 0.488957710236465 & 0.97791542047293 & 0.511042289763535 \tabularnewline
21 & 0.483991284677207 & 0.967982569354414 & 0.516008715322793 \tabularnewline
22 & 0.578698178420804 & 0.842603643158393 & 0.421301821579196 \tabularnewline
23 & 0.895767988919088 & 0.208464022161823 & 0.104232011080912 \tabularnewline
24 & 0.851666712412531 & 0.296666575174937 & 0.148333287587469 \tabularnewline
25 & 0.922017532413874 & 0.155964935172252 & 0.0779824675861262 \tabularnewline
26 & 0.950913883090831 & 0.0981722338183376 & 0.0490861169091688 \tabularnewline
27 & 0.948532170195878 & 0.102935659608243 & 0.0514678298041215 \tabularnewline
28 & 0.948989911179095 & 0.102020177641811 & 0.0510100888209054 \tabularnewline
29 & 0.94066493437931 & 0.118670131241381 & 0.0593350656206904 \tabularnewline
30 & 0.924543049771266 & 0.150913900457468 & 0.0754569502287342 \tabularnewline
31 & 0.979379873447023 & 0.041240253105953 & 0.0206201265529765 \tabularnewline
32 & 0.970513883601525 & 0.058972232796949 & 0.0294861163984745 \tabularnewline
33 & 0.958311544059762 & 0.0833769118804755 & 0.0416884559402378 \tabularnewline
34 & 0.942297390823889 & 0.115405218352221 & 0.0577026091761107 \tabularnewline
35 & 0.92312543096116 & 0.15374913807768 & 0.07687456903884 \tabularnewline
36 & 0.905520145313716 & 0.188959709372568 & 0.0944798546862839 \tabularnewline
37 & 0.878404233021092 & 0.243191533957817 & 0.121595766978908 \tabularnewline
38 & 0.846425239152427 & 0.307149521695147 & 0.153574760847573 \tabularnewline
39 & 0.930580793140628 & 0.138838413718743 & 0.0694192068593717 \tabularnewline
40 & 0.942482562586837 & 0.115034874826326 & 0.0575174374131629 \tabularnewline
41 & 0.92800815353761 & 0.14398369292478 & 0.0719918464623898 \tabularnewline
42 & 0.911227240161808 & 0.177545519676384 & 0.088772759838192 \tabularnewline
43 & 0.890937593395698 & 0.218124813208605 & 0.109062406604302 \tabularnewline
44 & 0.867707041402474 & 0.264585917195053 & 0.132292958597526 \tabularnewline
45 & 0.883212746132737 & 0.233574507734526 & 0.116787253867263 \tabularnewline
46 & 0.855579103133262 & 0.288841793733475 & 0.144420896866738 \tabularnewline
47 & 0.843132524668418 & 0.313734950663164 & 0.156867475331582 \tabularnewline
48 & 0.817519990486685 & 0.364960019026631 & 0.182480009513315 \tabularnewline
49 & 0.798319915220249 & 0.403360169559501 & 0.201680084779751 \tabularnewline
50 & 0.919307098574929 & 0.161385802850142 & 0.080692901425071 \tabularnewline
51 & 0.986199331382967 & 0.0276013372340665 & 0.0138006686170332 \tabularnewline
52 & 0.987014245860035 & 0.0259715082799292 & 0.0129857541399646 \tabularnewline
53 & 0.983593572255298 & 0.0328128554894034 & 0.0164064277447017 \tabularnewline
54 & 0.993140602188652 & 0.0137187956226963 & 0.00685939781134813 \tabularnewline
55 & 0.996814687089055 & 0.00637062582189095 & 0.00318531291094548 \tabularnewline
56 & 0.997114307174928 & 0.00577138565014351 & 0.00288569282507176 \tabularnewline
57 & 0.996845057331904 & 0.00630988533619127 & 0.00315494266809564 \tabularnewline
58 & 0.997089228710767 & 0.00582154257846554 & 0.00291077128923277 \tabularnewline
59 & 0.995969533411138 & 0.0080609331777247 & 0.00403046658886235 \tabularnewline
60 & 0.995174561991355 & 0.00965087601729097 & 0.00482543800864549 \tabularnewline
61 & 0.993881088605771 & 0.0122378227884576 & 0.00611891139422882 \tabularnewline
62 & 0.992258698654231 & 0.0154826026915373 & 0.00774130134576864 \tabularnewline
63 & 0.990295769477165 & 0.0194084610456706 & 0.00970423052283532 \tabularnewline
64 & 0.987181786090474 & 0.0256364278190511 & 0.0128182139095255 \tabularnewline
65 & 0.994704484249943 & 0.0105910315001144 & 0.00529551575005722 \tabularnewline
66 & 0.993781579182067 & 0.0124368416358654 & 0.0062184208179327 \tabularnewline
67 & 0.998180045138035 & 0.00363990972392892 & 0.00181995486196446 \tabularnewline
68 & 0.997683800537116 & 0.00463239892576789 & 0.00231619946288394 \tabularnewline
69 & 0.997626981857174 & 0.00474603628565143 & 0.00237301814282572 \tabularnewline
70 & 0.997809832315571 & 0.00438033536885722 & 0.00219016768442861 \tabularnewline
71 & 0.997264042856542 & 0.00547191428691595 & 0.00273595714345797 \tabularnewline
72 & 0.996616012306142 & 0.00676797538771644 & 0.00338398769385822 \tabularnewline
73 & 0.995744434198333 & 0.0085111316033345 & 0.00425556580166725 \tabularnewline
74 & 0.994334010346932 & 0.011331979306135 & 0.00566598965306751 \tabularnewline
75 & 0.996009293592919 & 0.00798141281416115 & 0.00399070640708058 \tabularnewline
76 & 0.995074790474249 & 0.00985041905150152 & 0.00492520952575076 \tabularnewline
77 & 0.994112988687617 & 0.0117740226247661 & 0.00588701131238307 \tabularnewline
78 & 0.993049181687418 & 0.0139016366251649 & 0.00695081831258245 \tabularnewline
79 & 0.992528885806516 & 0.0149422283869685 & 0.00747111419348424 \tabularnewline
80 & 0.990262648698324 & 0.0194747026033509 & 0.00973735130167547 \tabularnewline
81 & 0.988692925117387 & 0.0226141497652252 & 0.0113070748826126 \tabularnewline
82 & 0.985801465774686 & 0.0283970684506271 & 0.0141985342253135 \tabularnewline
83 & 0.99896091972371 & 0.00207816055258053 & 0.00103908027629027 \tabularnewline
84 & 0.998734004645545 & 0.00253199070890974 & 0.00126599535445487 \tabularnewline
85 & 0.998279956305309 & 0.00344008738938305 & 0.00172004369469153 \tabularnewline
86 & 0.997703978013937 & 0.00459204397212673 & 0.00229602198606337 \tabularnewline
87 & 0.996976907231822 & 0.00604618553635647 & 0.00302309276817824 \tabularnewline
88 & 0.996403939633911 & 0.00719212073217694 & 0.00359606036608847 \tabularnewline
89 & 0.9999183370314 & 0.000163325937200912 & 8.16629686004559e-05 \tabularnewline
90 & 0.99992983278096 & 0.000140334438080884 & 7.01672190404422e-05 \tabularnewline
91 & 0.999963009744838 & 7.39805103244827e-05 & 3.69902551622413e-05 \tabularnewline
92 & 0.999963157570869 & 7.36848582614333e-05 & 3.68424291307167e-05 \tabularnewline
93 & 0.99995120018921 & 9.75996215789697e-05 & 4.87998107894849e-05 \tabularnewline
94 & 0.999946757521423 & 0.000106484957154334 & 5.32424785771671e-05 \tabularnewline
95 & 0.9999269390894 & 0.000146121821200232 & 7.30609106001158e-05 \tabularnewline
96 & 0.999910769662859 & 0.00017846067428154 & 8.92303371407699e-05 \tabularnewline
97 & 0.999888890997221 & 0.000222218005557967 & 0.000111109002778983 \tabularnewline
98 & 0.999978211809812 & 4.35763803751156e-05 & 2.17881901875578e-05 \tabularnewline
99 & 0.999973399035294 & 5.32019294113626e-05 & 2.66009647056813e-05 \tabularnewline
100 & 0.999964240376469 & 7.15192470628207e-05 & 3.57596235314103e-05 \tabularnewline
101 & 0.999948158287091 & 0.000103683425818006 & 5.1841712909003e-05 \tabularnewline
102 & 0.999926090255578 & 0.000147819488843998 & 7.39097444219988e-05 \tabularnewline
103 & 0.999960224346854 & 7.95513062908976e-05 & 3.97756531454488e-05 \tabularnewline
104 & 0.9999500940034 & 9.98119932004906e-05 & 4.99059966002453e-05 \tabularnewline
105 & 0.999929177147365 & 0.00014164570527064 & 7.08228526353198e-05 \tabularnewline
106 & 0.999905877768261 & 0.000188244463478808 & 9.41222317394038e-05 \tabularnewline
107 & 0.999945959084039 & 0.000108081831921596 & 5.40409159607982e-05 \tabularnewline
108 & 0.999922423999073 & 0.000155152001854801 & 7.75760009274006e-05 \tabularnewline
109 & 0.999900536688743 & 0.000198926622514229 & 9.94633112571146e-05 \tabularnewline
110 & 0.999902121655139 & 0.000195756689722785 & 9.78783448613924e-05 \tabularnewline
111 & 0.999893963791087 & 0.00021207241782535 & 0.000106036208912675 \tabularnewline
112 & 0.999861741374646 & 0.000276517250707181 & 0.000138258625353591 \tabularnewline
113 & 0.999820051915907 & 0.000359896168185856 & 0.000179948084092928 \tabularnewline
114 & 0.999750320124592 & 0.000499359750816215 & 0.000249679875408108 \tabularnewline
115 & 0.999719062030753 & 0.000561875938494313 & 0.000280937969247157 \tabularnewline
116 & 0.999644932366245 & 0.000710135267511013 & 0.000355067633755506 \tabularnewline
117 & 0.999513539763832 & 0.000972920472336874 & 0.000486460236168437 \tabularnewline
118 & 0.999759709229054 & 0.000480581541892261 & 0.000240290770946131 \tabularnewline
119 & 0.999972236939849 & 5.55261203019355e-05 & 2.77630601509678e-05 \tabularnewline
120 & 0.999964056341961 & 7.18873160778071e-05 & 3.59436580389035e-05 \tabularnewline
121 & 0.999948319141854 & 0.000103361716291235 & 5.16808581456176e-05 \tabularnewline
122 & 0.99997041374007 & 5.91725198598479e-05 & 2.95862599299239e-05 \tabularnewline
123 & 0.999972955520765 & 5.40889584695372e-05 & 2.70444792347686e-05 \tabularnewline
124 & 0.999986103280719 & 2.77934385611361e-05 & 1.3896719280568e-05 \tabularnewline
125 & 0.999986478241788 & 2.70435164245232e-05 & 1.35217582122616e-05 \tabularnewline
126 & 0.999981438679169 & 3.71226416610301e-05 & 1.8561320830515e-05 \tabularnewline
127 & 0.999973947324529 & 5.21053509416965e-05 & 2.60526754708482e-05 \tabularnewline
128 & 0.99996329996478 & 7.34000704401846e-05 & 3.67000352200923e-05 \tabularnewline
129 & 0.999990995011158 & 1.80099776839072e-05 & 9.00498884195358e-06 \tabularnewline
130 & 0.999986810189177 & 2.63796216464776e-05 & 1.31898108232388e-05 \tabularnewline
131 & 0.999980780293125 & 3.84394137507545e-05 & 1.92197068753772e-05 \tabularnewline
132 & 0.999976844884925 & 4.63102301509384e-05 & 2.31551150754692e-05 \tabularnewline
133 & 0.999969336151068 & 6.13276978635771e-05 & 3.06638489317886e-05 \tabularnewline
134 & 0.999982490065825 & 3.50198683505088e-05 & 1.75099341752544e-05 \tabularnewline
135 & 0.999976600122132 & 4.6799755736844e-05 & 2.3399877868422e-05 \tabularnewline
136 & 0.999969179566921 & 6.16408661584514e-05 & 3.08204330792257e-05 \tabularnewline
137 & 0.999955735155849 & 8.85296883025555e-05 & 4.42648441512778e-05 \tabularnewline
138 & 0.999942189290736 & 0.00011562141852789 & 5.7810709263945e-05 \tabularnewline
139 & 0.99993344038957 & 0.00013311922085966 & 6.655961042983e-05 \tabularnewline
140 & 0.999908830793046 & 0.000182338413907985 & 9.11692069539926e-05 \tabularnewline
141 & 0.999900832613105 & 0.000198334773790007 & 9.91673868950037e-05 \tabularnewline
142 & 0.99986631136377 & 0.000267377272460734 & 0.000133688636230367 \tabularnewline
143 & 0.99986104498224 & 0.000277910035519829 & 0.000138955017759915 \tabularnewline
144 & 0.999923484861232 & 0.000153030277535681 & 7.65151387678407e-05 \tabularnewline
145 & 0.999949893943255 & 0.000100212113489676 & 5.01060567448379e-05 \tabularnewline
146 & 0.999932726372116 & 0.000134547255767296 & 6.72736278836479e-05 \tabularnewline
147 & 0.999954211468911 & 9.15770621785644e-05 & 4.57885310892822e-05 \tabularnewline
148 & 0.99994950702245 & 0.000100985955100711 & 5.04929775503553e-05 \tabularnewline
149 & 0.999945193252457 & 0.000109613495086883 & 5.48067475434415e-05 \tabularnewline
150 & 0.99992486314493 & 0.000150273710139648 & 7.51368550698238e-05 \tabularnewline
151 & 0.999937435131255 & 0.000125129737489738 & 6.25648687448692e-05 \tabularnewline
152 & 0.999915583502442 & 0.000168832995116783 & 8.44164975583913e-05 \tabularnewline
153 & 0.999890177329403 & 0.000219645341193882 & 0.000109822670596941 \tabularnewline
154 & 0.999850363096977 & 0.000299273806045297 & 0.000149636903022648 \tabularnewline
155 & 0.999920503483859 & 0.00015899303228259 & 7.94965161412948e-05 \tabularnewline
156 & 0.999903340699262 & 0.000193318601475203 & 9.66593007376014e-05 \tabularnewline
157 & 0.999863527853707 & 0.000272944292585414 & 0.000136472146292707 \tabularnewline
158 & 0.999870715666349 & 0.000258568667301306 & 0.000129284333650653 \tabularnewline
159 & 0.999905354667631 & 0.000189290664738532 & 9.46453323692658e-05 \tabularnewline
160 & 0.999879296222203 & 0.000241407555593969 & 0.000120703777796984 \tabularnewline
161 & 0.999834841136815 & 0.000330317726369643 & 0.000165158863184821 \tabularnewline
162 & 0.999813401797663 & 0.000373196404673788 & 0.000186598202336894 \tabularnewline
163 & 0.999811818425428 & 0.000376363149144185 & 0.000188181574572092 \tabularnewline
164 & 0.999804041097742 & 0.000391917804515077 & 0.000195958902257538 \tabularnewline
165 & 0.999799156204326 & 0.000401687591348894 & 0.000200843795674447 \tabularnewline
166 & 0.999794789732206 & 0.0004104205355874 & 0.0002052102677937 \tabularnewline
167 & 0.999735213067976 & 0.000529573864047913 & 0.000264786932023956 \tabularnewline
168 & 0.999723308111642 & 0.000553383776716216 & 0.000276691888358108 \tabularnewline
169 & 0.999641253806868 & 0.000717492386264563 & 0.000358746193132281 \tabularnewline
170 & 0.999991559879969 & 1.68802400619539e-05 & 8.44012003097695e-06 \tabularnewline
171 & 0.999988421427872 & 2.31571442556033e-05 & 1.15785721278016e-05 \tabularnewline
172 & 0.999987600696934 & 2.47986061324069e-05 & 1.23993030662035e-05 \tabularnewline
173 & 0.999997075843272 & 5.84831345575322e-06 & 2.92415672787661e-06 \tabularnewline
174 & 0.999999476393735 & 1.04721253082838e-06 & 5.23606265414192e-07 \tabularnewline
175 & 0.999999606493506 & 7.87012988568139e-07 & 3.93506494284069e-07 \tabularnewline
176 & 0.999999411821843 & 1.17635631389575e-06 & 5.88178156947873e-07 \tabularnewline
177 & 0.999999363283778 & 1.27343244329131e-06 & 6.36716221645655e-07 \tabularnewline
178 & 0.999999232720783 & 1.53455843422112e-06 & 7.67279217110561e-07 \tabularnewline
179 & 0.999998841443397 & 2.31711320514419e-06 & 1.15855660257209e-06 \tabularnewline
180 & 0.999999095354816 & 1.80929036865321e-06 & 9.04645184326607e-07 \tabularnewline
181 & 0.999998680507847 & 2.63898430637354e-06 & 1.31949215318677e-06 \tabularnewline
182 & 0.999999217497027 & 1.56500594575389e-06 & 7.82502972876947e-07 \tabularnewline
183 & 0.99999874393272 & 2.51213455990824e-06 & 1.25606727995412e-06 \tabularnewline
184 & 0.99999864798754 & 2.70402492013471e-06 & 1.35201246006736e-06 \tabularnewline
185 & 0.999998400847561 & 3.19830487823613e-06 & 1.59915243911806e-06 \tabularnewline
186 & 0.999997625881816 & 4.74823636783121e-06 & 2.37411818391561e-06 \tabularnewline
187 & 0.99999684284466 & 6.31431068056106e-06 & 3.15715534028053e-06 \tabularnewline
188 & 0.999995103143567 & 9.79371286563292e-06 & 4.89685643281646e-06 \tabularnewline
189 & 0.999993066910358 & 1.38661792838916e-05 & 6.93308964194578e-06 \tabularnewline
190 & 0.999994716372909 & 1.05672541820914e-05 & 5.28362709104571e-06 \tabularnewline
191 & 0.999999867199019 & 2.65601961037097e-07 & 1.32800980518548e-07 \tabularnewline
192 & 0.999999773574133 & 4.52851733271738e-07 & 2.26425866635869e-07 \tabularnewline
193 & 0.999999626401565 & 7.47196869006189e-07 & 3.73598434503094e-07 \tabularnewline
194 & 0.999999408880682 & 1.18223863693675e-06 & 5.91119318468377e-07 \tabularnewline
195 & 0.999999382429357 & 1.23514128524528e-06 & 6.17570642622642e-07 \tabularnewline
196 & 0.99999941669033 & 1.1666193394981e-06 & 5.83309669749048e-07 \tabularnewline
197 & 0.999999282099289 & 1.43580142108338e-06 & 7.17900710541692e-07 \tabularnewline
198 & 0.999998881324441 & 2.23735111743572e-06 & 1.11867555871786e-06 \tabularnewline
199 & 0.999998924823567 & 2.15035286594949e-06 & 1.07517643297474e-06 \tabularnewline
200 & 0.999998433475644 & 3.13304871191637e-06 & 1.56652435595819e-06 \tabularnewline
201 & 0.999997790767314 & 4.41846537190764e-06 & 2.20923268595382e-06 \tabularnewline
202 & 0.999996486888495 & 7.02622301047123e-06 & 3.51311150523562e-06 \tabularnewline
203 & 0.999996161745181 & 7.67650963876113e-06 & 3.83825481938057e-06 \tabularnewline
204 & 0.999993723301478 & 1.25533970432676e-05 & 6.27669852163379e-06 \tabularnewline
205 & 0.999990903287715 & 1.81934245707018e-05 & 9.09671228535092e-06 \tabularnewline
206 & 0.999985780267325 & 2.8439465350664e-05 & 1.4219732675332e-05 \tabularnewline
207 & 0.999977831117692 & 4.43377646150028e-05 & 2.21688823075014e-05 \tabularnewline
208 & 0.99999496791909 & 1.00641618192196e-05 & 5.03208090960978e-06 \tabularnewline
209 & 0.99999715632387 & 5.6873522599566e-06 & 2.8436761299783e-06 \tabularnewline
210 & 0.999995244210205 & 9.51157959059984e-06 & 4.75578979529992e-06 \tabularnewline
211 & 0.999992822390335 & 1.4355219330748e-05 & 7.17760966537399e-06 \tabularnewline
212 & 0.999997803194905 & 4.39361019048612e-06 & 2.19680509524306e-06 \tabularnewline
213 & 0.999996340086484 & 7.31982703189457e-06 & 3.65991351594729e-06 \tabularnewline
214 & 0.999993936925529 & 1.21261489423799e-05 & 6.06307447118995e-06 \tabularnewline
215 & 0.999990270174064 & 1.9459651871777e-05 & 9.7298259358885e-06 \tabularnewline
216 & 0.999985837869602 & 2.83242607965649e-05 & 1.41621303982824e-05 \tabularnewline
217 & 0.999993901882849 & 1.21962343028074e-05 & 6.09811715140368e-06 \tabularnewline
218 & 0.999989713217453 & 2.05735650946547e-05 & 1.02867825473273e-05 \tabularnewline
219 & 0.999983401706362 & 3.31965872763401e-05 & 1.659829363817e-05 \tabularnewline
220 & 0.999975856532084 & 4.82869358328097e-05 & 2.41434679164048e-05 \tabularnewline
221 & 0.999970352416966 & 5.92951660690538e-05 & 2.96475830345269e-05 \tabularnewline
222 & 0.999992474027561 & 1.50519448776407e-05 & 7.52597243882037e-06 \tabularnewline
223 & 0.999993887537053 & 1.22249258943294e-05 & 6.11246294716469e-06 \tabularnewline
224 & 0.999989458041041 & 2.10839179182084e-05 & 1.05419589591042e-05 \tabularnewline
225 & 0.999981793351148 & 3.64132977035325e-05 & 1.82066488517663e-05 \tabularnewline
226 & 0.999973862376329 & 5.22752473417686e-05 & 2.61376236708843e-05 \tabularnewline
227 & 0.99996315064948 & 7.36987010402022e-05 & 3.68493505201011e-05 \tabularnewline
228 & 0.999956948928127 & 8.61021437451279e-05 & 4.30510718725639e-05 \tabularnewline
229 & 0.999927513889246 & 0.00014497222150839 & 7.24861107541948e-05 \tabularnewline
230 & 0.999956879963376 & 8.62400732475749e-05 & 4.31200366237874e-05 \tabularnewline
231 & 0.999958348595378 & 8.33028092435449e-05 & 4.16514046217724e-05 \tabularnewline
232 & 0.999928261329605 & 0.00014347734078955 & 7.17386703947748e-05 \tabularnewline
233 & 0.999999677190473 & 6.45619054370868e-07 & 3.22809527185434e-07 \tabularnewline
234 & 0.99999937225832 & 1.25548336008262e-06 & 6.27741680041312e-07 \tabularnewline
235 & 0.999998754331175 & 2.49133764978124e-06 & 1.24566882489062e-06 \tabularnewline
236 & 0.999997559044588 & 4.88191082485698e-06 & 2.44095541242849e-06 \tabularnewline
237 & 0.999999993324166 & 1.33516676799875e-08 & 6.67583383999377e-09 \tabularnewline
238 & 0.999999984107603 & 3.17847930239303e-08 & 1.58923965119652e-08 \tabularnewline
239 & 0.999999964833902 & 7.03321964939287e-08 & 3.51660982469643e-08 \tabularnewline
240 & 0.999999938480697 & 1.23038606619824e-07 & 6.1519303309912e-08 \tabularnewline
241 & 0.999999866670062 & 2.66659875586912e-07 & 1.33329937793456e-07 \tabularnewline
242 & 0.999999786124667 & 4.27750665154258e-07 & 2.13875332577129e-07 \tabularnewline
243 & 0.999999581666674 & 8.3666665286282e-07 & 4.1833332643141e-07 \tabularnewline
244 & 0.999999095653313 & 1.80869337419069e-06 & 9.04346687095346e-07 \tabularnewline
245 & 0.999998679107147 & 2.6417857056795e-06 & 1.32089285283975e-06 \tabularnewline
246 & 0.999997483235704 & 5.0335285924052e-06 & 2.5167642962026e-06 \tabularnewline
247 & 0.999997731313024 & 4.53737395161886e-06 & 2.26868697580943e-06 \tabularnewline
248 & 0.999995889639263 & 8.22072147394009e-06 & 4.11036073697005e-06 \tabularnewline
249 & 0.999992573707552 & 1.48525848950474e-05 & 7.42629244752372e-06 \tabularnewline
250 & 0.999990806375603 & 1.83872487948598e-05 & 9.19362439742992e-06 \tabularnewline
251 & 0.999984535905295 & 3.09281894107658e-05 & 1.54640947053829e-05 \tabularnewline
252 & 0.999974982683592 & 5.00346328165593e-05 & 2.50173164082796e-05 \tabularnewline
253 & 0.999944572231681 & 0.000110855536637204 & 5.54277683186018e-05 \tabularnewline
254 & 0.999881920990803 & 0.000236158018394585 & 0.000118079009197293 \tabularnewline
255 & 0.999890653411204 & 0.000218693177592734 & 0.000109346588796367 \tabularnewline
256 & 0.999760017576797 & 0.000479964846405075 & 0.000239982423202537 \tabularnewline
257 & 0.999681456383606 & 0.00063708723278845 & 0.000318543616394225 \tabularnewline
258 & 0.999787417767744 & 0.000425164464512882 & 0.000212582232256441 \tabularnewline
259 & 0.999543083805205 & 0.000913832389589939 & 0.00045691619479497 \tabularnewline
260 & 0.999177169810052 & 0.00164566037989521 & 0.000822830189947604 \tabularnewline
261 & 0.998762828491088 & 0.00247434301782487 & 0.00123717150891243 \tabularnewline
262 & 0.997308957268085 & 0.00538208546382933 & 0.00269104273191466 \tabularnewline
263 & 0.996574260391195 & 0.0068514792176098 & 0.0034257396088049 \tabularnewline
264 & 0.997067230499267 & 0.00586553900146497 & 0.00293276950073249 \tabularnewline
265 & 0.995479215535586 & 0.00904156892882702 & 0.00452078446441351 \tabularnewline
266 & 0.990657392317595 & 0.0186852153648105 & 0.00934260768240527 \tabularnewline
267 & 0.982213370593203 & 0.0355732588135949 & 0.0177866294067974 \tabularnewline
268 & 0.968663148834488 & 0.0626737023310238 & 0.0313368511655119 \tabularnewline
269 & 0.999939221112143 & 0.000121557775714382 & 6.07788878571909e-05 \tabularnewline
270 & 0.999954842821641 & 9.0314356718228e-05 & 4.5157178359114e-05 \tabularnewline
271 & 0.99961480774144 & 0.000770384517120328 & 0.000385192258560164 \tabularnewline
272 & 0.998181995011969 & 0.00363600997606133 & 0.00181800498803067 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189987&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]17[/C][C]0.766783889781715[/C][C]0.466432220436571[/C][C]0.233216110218285[/C][/ROW]
[ROW][C]18[/C][C]0.634909156393679[/C][C]0.730181687212642[/C][C]0.365090843606321[/C][/ROW]
[ROW][C]19[/C][C]0.589281269684292[/C][C]0.821437460631417[/C][C]0.410718730315709[/C][/ROW]
[ROW][C]20[/C][C]0.488957710236465[/C][C]0.97791542047293[/C][C]0.511042289763535[/C][/ROW]
[ROW][C]21[/C][C]0.483991284677207[/C][C]0.967982569354414[/C][C]0.516008715322793[/C][/ROW]
[ROW][C]22[/C][C]0.578698178420804[/C][C]0.842603643158393[/C][C]0.421301821579196[/C][/ROW]
[ROW][C]23[/C][C]0.895767988919088[/C][C]0.208464022161823[/C][C]0.104232011080912[/C][/ROW]
[ROW][C]24[/C][C]0.851666712412531[/C][C]0.296666575174937[/C][C]0.148333287587469[/C][/ROW]
[ROW][C]25[/C][C]0.922017532413874[/C][C]0.155964935172252[/C][C]0.0779824675861262[/C][/ROW]
[ROW][C]26[/C][C]0.950913883090831[/C][C]0.0981722338183376[/C][C]0.0490861169091688[/C][/ROW]
[ROW][C]27[/C][C]0.948532170195878[/C][C]0.102935659608243[/C][C]0.0514678298041215[/C][/ROW]
[ROW][C]28[/C][C]0.948989911179095[/C][C]0.102020177641811[/C][C]0.0510100888209054[/C][/ROW]
[ROW][C]29[/C][C]0.94066493437931[/C][C]0.118670131241381[/C][C]0.0593350656206904[/C][/ROW]
[ROW][C]30[/C][C]0.924543049771266[/C][C]0.150913900457468[/C][C]0.0754569502287342[/C][/ROW]
[ROW][C]31[/C][C]0.979379873447023[/C][C]0.041240253105953[/C][C]0.0206201265529765[/C][/ROW]
[ROW][C]32[/C][C]0.970513883601525[/C][C]0.058972232796949[/C][C]0.0294861163984745[/C][/ROW]
[ROW][C]33[/C][C]0.958311544059762[/C][C]0.0833769118804755[/C][C]0.0416884559402378[/C][/ROW]
[ROW][C]34[/C][C]0.942297390823889[/C][C]0.115405218352221[/C][C]0.0577026091761107[/C][/ROW]
[ROW][C]35[/C][C]0.92312543096116[/C][C]0.15374913807768[/C][C]0.07687456903884[/C][/ROW]
[ROW][C]36[/C][C]0.905520145313716[/C][C]0.188959709372568[/C][C]0.0944798546862839[/C][/ROW]
[ROW][C]37[/C][C]0.878404233021092[/C][C]0.243191533957817[/C][C]0.121595766978908[/C][/ROW]
[ROW][C]38[/C][C]0.846425239152427[/C][C]0.307149521695147[/C][C]0.153574760847573[/C][/ROW]
[ROW][C]39[/C][C]0.930580793140628[/C][C]0.138838413718743[/C][C]0.0694192068593717[/C][/ROW]
[ROW][C]40[/C][C]0.942482562586837[/C][C]0.115034874826326[/C][C]0.0575174374131629[/C][/ROW]
[ROW][C]41[/C][C]0.92800815353761[/C][C]0.14398369292478[/C][C]0.0719918464623898[/C][/ROW]
[ROW][C]42[/C][C]0.911227240161808[/C][C]0.177545519676384[/C][C]0.088772759838192[/C][/ROW]
[ROW][C]43[/C][C]0.890937593395698[/C][C]0.218124813208605[/C][C]0.109062406604302[/C][/ROW]
[ROW][C]44[/C][C]0.867707041402474[/C][C]0.264585917195053[/C][C]0.132292958597526[/C][/ROW]
[ROW][C]45[/C][C]0.883212746132737[/C][C]0.233574507734526[/C][C]0.116787253867263[/C][/ROW]
[ROW][C]46[/C][C]0.855579103133262[/C][C]0.288841793733475[/C][C]0.144420896866738[/C][/ROW]
[ROW][C]47[/C][C]0.843132524668418[/C][C]0.313734950663164[/C][C]0.156867475331582[/C][/ROW]
[ROW][C]48[/C][C]0.817519990486685[/C][C]0.364960019026631[/C][C]0.182480009513315[/C][/ROW]
[ROW][C]49[/C][C]0.798319915220249[/C][C]0.403360169559501[/C][C]0.201680084779751[/C][/ROW]
[ROW][C]50[/C][C]0.919307098574929[/C][C]0.161385802850142[/C][C]0.080692901425071[/C][/ROW]
[ROW][C]51[/C][C]0.986199331382967[/C][C]0.0276013372340665[/C][C]0.0138006686170332[/C][/ROW]
[ROW][C]52[/C][C]0.987014245860035[/C][C]0.0259715082799292[/C][C]0.0129857541399646[/C][/ROW]
[ROW][C]53[/C][C]0.983593572255298[/C][C]0.0328128554894034[/C][C]0.0164064277447017[/C][/ROW]
[ROW][C]54[/C][C]0.993140602188652[/C][C]0.0137187956226963[/C][C]0.00685939781134813[/C][/ROW]
[ROW][C]55[/C][C]0.996814687089055[/C][C]0.00637062582189095[/C][C]0.00318531291094548[/C][/ROW]
[ROW][C]56[/C][C]0.997114307174928[/C][C]0.00577138565014351[/C][C]0.00288569282507176[/C][/ROW]
[ROW][C]57[/C][C]0.996845057331904[/C][C]0.00630988533619127[/C][C]0.00315494266809564[/C][/ROW]
[ROW][C]58[/C][C]0.997089228710767[/C][C]0.00582154257846554[/C][C]0.00291077128923277[/C][/ROW]
[ROW][C]59[/C][C]0.995969533411138[/C][C]0.0080609331777247[/C][C]0.00403046658886235[/C][/ROW]
[ROW][C]60[/C][C]0.995174561991355[/C][C]0.00965087601729097[/C][C]0.00482543800864549[/C][/ROW]
[ROW][C]61[/C][C]0.993881088605771[/C][C]0.0122378227884576[/C][C]0.00611891139422882[/C][/ROW]
[ROW][C]62[/C][C]0.992258698654231[/C][C]0.0154826026915373[/C][C]0.00774130134576864[/C][/ROW]
[ROW][C]63[/C][C]0.990295769477165[/C][C]0.0194084610456706[/C][C]0.00970423052283532[/C][/ROW]
[ROW][C]64[/C][C]0.987181786090474[/C][C]0.0256364278190511[/C][C]0.0128182139095255[/C][/ROW]
[ROW][C]65[/C][C]0.994704484249943[/C][C]0.0105910315001144[/C][C]0.00529551575005722[/C][/ROW]
[ROW][C]66[/C][C]0.993781579182067[/C][C]0.0124368416358654[/C][C]0.0062184208179327[/C][/ROW]
[ROW][C]67[/C][C]0.998180045138035[/C][C]0.00363990972392892[/C][C]0.00181995486196446[/C][/ROW]
[ROW][C]68[/C][C]0.997683800537116[/C][C]0.00463239892576789[/C][C]0.00231619946288394[/C][/ROW]
[ROW][C]69[/C][C]0.997626981857174[/C][C]0.00474603628565143[/C][C]0.00237301814282572[/C][/ROW]
[ROW][C]70[/C][C]0.997809832315571[/C][C]0.00438033536885722[/C][C]0.00219016768442861[/C][/ROW]
[ROW][C]71[/C][C]0.997264042856542[/C][C]0.00547191428691595[/C][C]0.00273595714345797[/C][/ROW]
[ROW][C]72[/C][C]0.996616012306142[/C][C]0.00676797538771644[/C][C]0.00338398769385822[/C][/ROW]
[ROW][C]73[/C][C]0.995744434198333[/C][C]0.0085111316033345[/C][C]0.00425556580166725[/C][/ROW]
[ROW][C]74[/C][C]0.994334010346932[/C][C]0.011331979306135[/C][C]0.00566598965306751[/C][/ROW]
[ROW][C]75[/C][C]0.996009293592919[/C][C]0.00798141281416115[/C][C]0.00399070640708058[/C][/ROW]
[ROW][C]76[/C][C]0.995074790474249[/C][C]0.00985041905150152[/C][C]0.00492520952575076[/C][/ROW]
[ROW][C]77[/C][C]0.994112988687617[/C][C]0.0117740226247661[/C][C]0.00588701131238307[/C][/ROW]
[ROW][C]78[/C][C]0.993049181687418[/C][C]0.0139016366251649[/C][C]0.00695081831258245[/C][/ROW]
[ROW][C]79[/C][C]0.992528885806516[/C][C]0.0149422283869685[/C][C]0.00747111419348424[/C][/ROW]
[ROW][C]80[/C][C]0.990262648698324[/C][C]0.0194747026033509[/C][C]0.00973735130167547[/C][/ROW]
[ROW][C]81[/C][C]0.988692925117387[/C][C]0.0226141497652252[/C][C]0.0113070748826126[/C][/ROW]
[ROW][C]82[/C][C]0.985801465774686[/C][C]0.0283970684506271[/C][C]0.0141985342253135[/C][/ROW]
[ROW][C]83[/C][C]0.99896091972371[/C][C]0.00207816055258053[/C][C]0.00103908027629027[/C][/ROW]
[ROW][C]84[/C][C]0.998734004645545[/C][C]0.00253199070890974[/C][C]0.00126599535445487[/C][/ROW]
[ROW][C]85[/C][C]0.998279956305309[/C][C]0.00344008738938305[/C][C]0.00172004369469153[/C][/ROW]
[ROW][C]86[/C][C]0.997703978013937[/C][C]0.00459204397212673[/C][C]0.00229602198606337[/C][/ROW]
[ROW][C]87[/C][C]0.996976907231822[/C][C]0.00604618553635647[/C][C]0.00302309276817824[/C][/ROW]
[ROW][C]88[/C][C]0.996403939633911[/C][C]0.00719212073217694[/C][C]0.00359606036608847[/C][/ROW]
[ROW][C]89[/C][C]0.9999183370314[/C][C]0.000163325937200912[/C][C]8.16629686004559e-05[/C][/ROW]
[ROW][C]90[/C][C]0.99992983278096[/C][C]0.000140334438080884[/C][C]7.01672190404422e-05[/C][/ROW]
[ROW][C]91[/C][C]0.999963009744838[/C][C]7.39805103244827e-05[/C][C]3.69902551622413e-05[/C][/ROW]
[ROW][C]92[/C][C]0.999963157570869[/C][C]7.36848582614333e-05[/C][C]3.68424291307167e-05[/C][/ROW]
[ROW][C]93[/C][C]0.99995120018921[/C][C]9.75996215789697e-05[/C][C]4.87998107894849e-05[/C][/ROW]
[ROW][C]94[/C][C]0.999946757521423[/C][C]0.000106484957154334[/C][C]5.32424785771671e-05[/C][/ROW]
[ROW][C]95[/C][C]0.9999269390894[/C][C]0.000146121821200232[/C][C]7.30609106001158e-05[/C][/ROW]
[ROW][C]96[/C][C]0.999910769662859[/C][C]0.00017846067428154[/C][C]8.92303371407699e-05[/C][/ROW]
[ROW][C]97[/C][C]0.999888890997221[/C][C]0.000222218005557967[/C][C]0.000111109002778983[/C][/ROW]
[ROW][C]98[/C][C]0.999978211809812[/C][C]4.35763803751156e-05[/C][C]2.17881901875578e-05[/C][/ROW]
[ROW][C]99[/C][C]0.999973399035294[/C][C]5.32019294113626e-05[/C][C]2.66009647056813e-05[/C][/ROW]
[ROW][C]100[/C][C]0.999964240376469[/C][C]7.15192470628207e-05[/C][C]3.57596235314103e-05[/C][/ROW]
[ROW][C]101[/C][C]0.999948158287091[/C][C]0.000103683425818006[/C][C]5.1841712909003e-05[/C][/ROW]
[ROW][C]102[/C][C]0.999926090255578[/C][C]0.000147819488843998[/C][C]7.39097444219988e-05[/C][/ROW]
[ROW][C]103[/C][C]0.999960224346854[/C][C]7.95513062908976e-05[/C][C]3.97756531454488e-05[/C][/ROW]
[ROW][C]104[/C][C]0.9999500940034[/C][C]9.98119932004906e-05[/C][C]4.99059966002453e-05[/C][/ROW]
[ROW][C]105[/C][C]0.999929177147365[/C][C]0.00014164570527064[/C][C]7.08228526353198e-05[/C][/ROW]
[ROW][C]106[/C][C]0.999905877768261[/C][C]0.000188244463478808[/C][C]9.41222317394038e-05[/C][/ROW]
[ROW][C]107[/C][C]0.999945959084039[/C][C]0.000108081831921596[/C][C]5.40409159607982e-05[/C][/ROW]
[ROW][C]108[/C][C]0.999922423999073[/C][C]0.000155152001854801[/C][C]7.75760009274006e-05[/C][/ROW]
[ROW][C]109[/C][C]0.999900536688743[/C][C]0.000198926622514229[/C][C]9.94633112571146e-05[/C][/ROW]
[ROW][C]110[/C][C]0.999902121655139[/C][C]0.000195756689722785[/C][C]9.78783448613924e-05[/C][/ROW]
[ROW][C]111[/C][C]0.999893963791087[/C][C]0.00021207241782535[/C][C]0.000106036208912675[/C][/ROW]
[ROW][C]112[/C][C]0.999861741374646[/C][C]0.000276517250707181[/C][C]0.000138258625353591[/C][/ROW]
[ROW][C]113[/C][C]0.999820051915907[/C][C]0.000359896168185856[/C][C]0.000179948084092928[/C][/ROW]
[ROW][C]114[/C][C]0.999750320124592[/C][C]0.000499359750816215[/C][C]0.000249679875408108[/C][/ROW]
[ROW][C]115[/C][C]0.999719062030753[/C][C]0.000561875938494313[/C][C]0.000280937969247157[/C][/ROW]
[ROW][C]116[/C][C]0.999644932366245[/C][C]0.000710135267511013[/C][C]0.000355067633755506[/C][/ROW]
[ROW][C]117[/C][C]0.999513539763832[/C][C]0.000972920472336874[/C][C]0.000486460236168437[/C][/ROW]
[ROW][C]118[/C][C]0.999759709229054[/C][C]0.000480581541892261[/C][C]0.000240290770946131[/C][/ROW]
[ROW][C]119[/C][C]0.999972236939849[/C][C]5.55261203019355e-05[/C][C]2.77630601509678e-05[/C][/ROW]
[ROW][C]120[/C][C]0.999964056341961[/C][C]7.18873160778071e-05[/C][C]3.59436580389035e-05[/C][/ROW]
[ROW][C]121[/C][C]0.999948319141854[/C][C]0.000103361716291235[/C][C]5.16808581456176e-05[/C][/ROW]
[ROW][C]122[/C][C]0.99997041374007[/C][C]5.91725198598479e-05[/C][C]2.95862599299239e-05[/C][/ROW]
[ROW][C]123[/C][C]0.999972955520765[/C][C]5.40889584695372e-05[/C][C]2.70444792347686e-05[/C][/ROW]
[ROW][C]124[/C][C]0.999986103280719[/C][C]2.77934385611361e-05[/C][C]1.3896719280568e-05[/C][/ROW]
[ROW][C]125[/C][C]0.999986478241788[/C][C]2.70435164245232e-05[/C][C]1.35217582122616e-05[/C][/ROW]
[ROW][C]126[/C][C]0.999981438679169[/C][C]3.71226416610301e-05[/C][C]1.8561320830515e-05[/C][/ROW]
[ROW][C]127[/C][C]0.999973947324529[/C][C]5.21053509416965e-05[/C][C]2.60526754708482e-05[/C][/ROW]
[ROW][C]128[/C][C]0.99996329996478[/C][C]7.34000704401846e-05[/C][C]3.67000352200923e-05[/C][/ROW]
[ROW][C]129[/C][C]0.999990995011158[/C][C]1.80099776839072e-05[/C][C]9.00498884195358e-06[/C][/ROW]
[ROW][C]130[/C][C]0.999986810189177[/C][C]2.63796216464776e-05[/C][C]1.31898108232388e-05[/C][/ROW]
[ROW][C]131[/C][C]0.999980780293125[/C][C]3.84394137507545e-05[/C][C]1.92197068753772e-05[/C][/ROW]
[ROW][C]132[/C][C]0.999976844884925[/C][C]4.63102301509384e-05[/C][C]2.31551150754692e-05[/C][/ROW]
[ROW][C]133[/C][C]0.999969336151068[/C][C]6.13276978635771e-05[/C][C]3.06638489317886e-05[/C][/ROW]
[ROW][C]134[/C][C]0.999982490065825[/C][C]3.50198683505088e-05[/C][C]1.75099341752544e-05[/C][/ROW]
[ROW][C]135[/C][C]0.999976600122132[/C][C]4.6799755736844e-05[/C][C]2.3399877868422e-05[/C][/ROW]
[ROW][C]136[/C][C]0.999969179566921[/C][C]6.16408661584514e-05[/C][C]3.08204330792257e-05[/C][/ROW]
[ROW][C]137[/C][C]0.999955735155849[/C][C]8.85296883025555e-05[/C][C]4.42648441512778e-05[/C][/ROW]
[ROW][C]138[/C][C]0.999942189290736[/C][C]0.00011562141852789[/C][C]5.7810709263945e-05[/C][/ROW]
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[ROW][C]171[/C][C]0.999988421427872[/C][C]2.31571442556033e-05[/C][C]1.15785721278016e-05[/C][/ROW]
[ROW][C]172[/C][C]0.999987600696934[/C][C]2.47986061324069e-05[/C][C]1.23993030662035e-05[/C][/ROW]
[ROW][C]173[/C][C]0.999997075843272[/C][C]5.84831345575322e-06[/C][C]2.92415672787661e-06[/C][/ROW]
[ROW][C]174[/C][C]0.999999476393735[/C][C]1.04721253082838e-06[/C][C]5.23606265414192e-07[/C][/ROW]
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[ROW][C]183[/C][C]0.99999874393272[/C][C]2.51213455990824e-06[/C][C]1.25606727995412e-06[/C][/ROW]
[ROW][C]184[/C][C]0.99999864798754[/C][C]2.70402492013471e-06[/C][C]1.35201246006736e-06[/C][/ROW]
[ROW][C]185[/C][C]0.999998400847561[/C][C]3.19830487823613e-06[/C][C]1.59915243911806e-06[/C][/ROW]
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[ROW][C]188[/C][C]0.999995103143567[/C][C]9.79371286563292e-06[/C][C]4.89685643281646e-06[/C][/ROW]
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[ROW][C]190[/C][C]0.999994716372909[/C][C]1.05672541820914e-05[/C][C]5.28362709104571e-06[/C][/ROW]
[ROW][C]191[/C][C]0.999999867199019[/C][C]2.65601961037097e-07[/C][C]1.32800980518548e-07[/C][/ROW]
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[ROW][C]194[/C][C]0.999999408880682[/C][C]1.18223863693675e-06[/C][C]5.91119318468377e-07[/C][/ROW]
[ROW][C]195[/C][C]0.999999382429357[/C][C]1.23514128524528e-06[/C][C]6.17570642622642e-07[/C][/ROW]
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[ROW][C]200[/C][C]0.999998433475644[/C][C]3.13304871191637e-06[/C][C]1.56652435595819e-06[/C][/ROW]
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[ROW][C]203[/C][C]0.999996161745181[/C][C]7.67650963876113e-06[/C][C]3.83825481938057e-06[/C][/ROW]
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[ROW][C]207[/C][C]0.999977831117692[/C][C]4.43377646150028e-05[/C][C]2.21688823075014e-05[/C][/ROW]
[ROW][C]208[/C][C]0.99999496791909[/C][C]1.00641618192196e-05[/C][C]5.03208090960978e-06[/C][/ROW]
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[ROW][C]250[/C][C]0.999990806375603[/C][C]1.83872487948598e-05[/C][C]9.19362439742992e-06[/C][/ROW]
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[ROW][C]262[/C][C]0.997308957268085[/C][C]0.00538208546382933[/C][C]0.00269104273191466[/C][/ROW]
[ROW][C]263[/C][C]0.996574260391195[/C][C]0.0068514792176098[/C][C]0.0034257396088049[/C][/ROW]
[ROW][C]264[/C][C]0.997067230499267[/C][C]0.00586553900146497[/C][C]0.00293276950073249[/C][/ROW]
[ROW][C]265[/C][C]0.995479215535586[/C][C]0.00904156892882702[/C][C]0.00452078446441351[/C][/ROW]
[ROW][C]266[/C][C]0.990657392317595[/C][C]0.0186852153648105[/C][C]0.00934260768240527[/C][/ROW]
[ROW][C]267[/C][C]0.982213370593203[/C][C]0.0355732588135949[/C][C]0.0177866294067974[/C][/ROW]
[ROW][C]268[/C][C]0.968663148834488[/C][C]0.0626737023310238[/C][C]0.0313368511655119[/C][/ROW]
[ROW][C]269[/C][C]0.999939221112143[/C][C]0.000121557775714382[/C][C]6.07788878571909e-05[/C][/ROW]
[ROW][C]270[/C][C]0.999954842821641[/C][C]9.0314356718228e-05[/C][C]4.5157178359114e-05[/C][/ROW]
[ROW][C]271[/C][C]0.99961480774144[/C][C]0.000770384517120328[/C][C]0.000385192258560164[/C][/ROW]
[ROW][C]272[/C][C]0.998181995011969[/C][C]0.00363600997606133[/C][C]0.00181800498803067[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189987&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189987&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
170.7667838897817150.4664322204365710.233216110218285
180.6349091563936790.7301816872126420.365090843606321
190.5892812696842920.8214374606314170.410718730315709
200.4889577102364650.977915420472930.511042289763535
210.4839912846772070.9679825693544140.516008715322793
220.5786981784208040.8426036431583930.421301821579196
230.8957679889190880.2084640221618230.104232011080912
240.8516667124125310.2966665751749370.148333287587469
250.9220175324138740.1559649351722520.0779824675861262
260.9509138830908310.09817223381833760.0490861169091688
270.9485321701958780.1029356596082430.0514678298041215
280.9489899111790950.1020201776418110.0510100888209054
290.940664934379310.1186701312413810.0593350656206904
300.9245430497712660.1509139004574680.0754569502287342
310.9793798734470230.0412402531059530.0206201265529765
320.9705138836015250.0589722327969490.0294861163984745
330.9583115440597620.08337691188047550.0416884559402378
340.9422973908238890.1154052183522210.0577026091761107
350.923125430961160.153749138077680.07687456903884
360.9055201453137160.1889597093725680.0944798546862839
370.8784042330210920.2431915339578170.121595766978908
380.8464252391524270.3071495216951470.153574760847573
390.9305807931406280.1388384137187430.0694192068593717
400.9424825625868370.1150348748263260.0575174374131629
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430.8909375933956980.2181248132086050.109062406604302
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470.8431325246684180.3137349506631640.156867475331582
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500.9193070985749290.1613858028501420.080692901425071
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520.9870142458600350.02597150827992920.0129857541399646
530.9835935722552980.03281285548940340.0164064277447017
540.9931406021886520.01371879562269630.00685939781134813
550.9968146870890550.006370625821890950.00318531291094548
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630.9902957694771650.01940846104567060.00970423052283532
640.9871817860904740.02563642781905110.0128182139095255
650.9947044842499430.01059103150011440.00529551575005722
660.9937815791820670.01243684163586540.0062184208179327
670.9981800451380350.003639909723928920.00181995486196446
680.9976838005371160.004632398925767890.00231619946288394
690.9976269818571740.004746036285651430.00237301814282572
700.9978098323155710.004380335368857220.00219016768442861
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720.9966160123061420.006767975387716440.00338398769385822
730.9957444341983330.00851113160333450.00425556580166725
740.9943340103469320.0113319793061350.00566598965306751
750.9960092935929190.007981412814161150.00399070640708058
760.9950747904742490.009850419051501520.00492520952575076
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780.9930491816874180.01390163662516490.00695081831258245
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800.9902626486983240.01947470260335090.00973735130167547
810.9886929251173870.02261414976522520.0113070748826126
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830.998960919723710.002078160552580530.00103908027629027
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850.9982799563053090.003440087389383050.00172004369469153
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870.9969769072318220.006046185536356470.00302309276817824
880.9964039396339110.007192120732176940.00359606036608847
890.99991833703140.0001633259372009128.16629686004559e-05
900.999929832780960.0001403344380808847.01672190404422e-05
910.9999630097448387.39805103244827e-053.69902551622413e-05
920.9999631575708697.36848582614333e-053.68424291307167e-05
930.999951200189219.75996215789697e-054.87998107894849e-05
940.9999467575214230.0001064849571543345.32424785771671e-05
950.99992693908940.0001461218212002327.30609106001158e-05
960.9999107696628590.000178460674281548.92303371407699e-05
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980.9999782118098124.35763803751156e-052.17881901875578e-05
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1000.9999642403764697.15192470628207e-053.57596235314103e-05
1010.9999481582870910.0001036834258180065.1841712909003e-05
1020.9999260902555780.0001478194888439987.39097444219988e-05
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1040.99995009400349.98119932004906e-054.99059966002453e-05
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1060.9999058777682610.0001882444634788089.41222317394038e-05
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1080.9999224239990730.0001551520018548017.75760009274006e-05
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1100.9999021216551390.0001957566897227859.78783448613924e-05
1110.9998939637910870.000212072417825350.000106036208912675
1120.9998617413746460.0002765172507071810.000138258625353591
1130.9998200519159070.0003598961681858560.000179948084092928
1140.9997503201245920.0004993597508162150.000249679875408108
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1160.9996449323662450.0007101352675110130.000355067633755506
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1180.9997597092290540.0004805815418922610.000240290770946131
1190.9999722369398495.55261203019355e-052.77630601509678e-05
1200.9999640563419617.18873160778071e-053.59436580389035e-05
1210.9999483191418540.0001033617162912355.16808581456176e-05
1220.999970413740075.91725198598479e-052.95862599299239e-05
1230.9999729555207655.40889584695372e-052.70444792347686e-05
1240.9999861032807192.77934385611361e-051.3896719280568e-05
1250.9999864782417882.70435164245232e-051.35217582122616e-05
1260.9999814386791693.71226416610301e-051.8561320830515e-05
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1300.9999868101891772.63796216464776e-051.31898108232388e-05
1310.9999807802931253.84394137507545e-051.92197068753772e-05
1320.9999768448849254.63102301509384e-052.31551150754692e-05
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1600.9998792962222030.0002414075555939690.000120703777796984
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1720.9999876006969342.47986061324069e-051.23993030662035e-05
1730.9999970758432725.84831345575322e-062.92415672787661e-06
1740.9999994763937351.04721253082838e-065.23606265414192e-07
1750.9999996064935067.87012988568139e-073.93506494284069e-07
1760.9999994118218431.17635631389575e-065.88178156947873e-07
1770.9999993632837781.27343244329131e-066.36716221645655e-07
1780.9999992327207831.53455843422112e-067.67279217110561e-07
1790.9999988414433972.31711320514419e-061.15855660257209e-06
1800.9999990953548161.80929036865321e-069.04645184326607e-07
1810.9999986805078472.63898430637354e-061.31949215318677e-06
1820.9999992174970271.56500594575389e-067.82502972876947e-07
1830.999998743932722.51213455990824e-061.25606727995412e-06
1840.999998647987542.70402492013471e-061.35201246006736e-06
1850.9999984008475613.19830487823613e-061.59915243911806e-06
1860.9999976258818164.74823636783121e-062.37411818391561e-06
1870.999996842844666.31431068056106e-063.15715534028053e-06
1880.9999951031435679.79371286563292e-064.89685643281646e-06
1890.9999930669103581.38661792838916e-056.93308964194578e-06
1900.9999947163729091.05672541820914e-055.28362709104571e-06
1910.9999998671990192.65601961037097e-071.32800980518548e-07
1920.9999997735741334.52851733271738e-072.26425866635869e-07
1930.9999996264015657.47196869006189e-073.73598434503094e-07
1940.9999994088806821.18223863693675e-065.91119318468377e-07
1950.9999993824293571.23514128524528e-066.17570642622642e-07
1960.999999416690331.1666193394981e-065.83309669749048e-07
1970.9999992820992891.43580142108338e-067.17900710541692e-07
1980.9999988813244412.23735111743572e-061.11867555871786e-06
1990.9999989248235672.15035286594949e-061.07517643297474e-06
2000.9999984334756443.13304871191637e-061.56652435595819e-06
2010.9999977907673144.41846537190764e-062.20923268595382e-06
2020.9999964868884957.02622301047123e-063.51311150523562e-06
2030.9999961617451817.67650963876113e-063.83825481938057e-06
2040.9999937233014781.25533970432676e-056.27669852163379e-06
2050.9999909032877151.81934245707018e-059.09671228535092e-06
2060.9999857802673252.8439465350664e-051.4219732675332e-05
2070.9999778311176924.43377646150028e-052.21688823075014e-05
2080.999994967919091.00641618192196e-055.03208090960978e-06
2090.999997156323875.6873522599566e-062.8436761299783e-06
2100.9999952442102059.51157959059984e-064.75578979529992e-06
2110.9999928223903351.4355219330748e-057.17760966537399e-06
2120.9999978031949054.39361019048612e-062.19680509524306e-06
2130.9999963400864847.31982703189457e-063.65991351594729e-06
2140.9999939369255291.21261489423799e-056.06307447118995e-06
2150.9999902701740641.9459651871777e-059.7298259358885e-06
2160.9999858378696022.83242607965649e-051.41621303982824e-05
2170.9999939018828491.21962343028074e-056.09811715140368e-06
2180.9999897132174532.05735650946547e-051.02867825473273e-05
2190.9999834017063623.31965872763401e-051.659829363817e-05
2200.9999758565320844.82869358328097e-052.41434679164048e-05
2210.9999703524169665.92951660690538e-052.96475830345269e-05
2220.9999924740275611.50519448776407e-057.52597243882037e-06
2230.9999938875370531.22249258943294e-056.11246294716469e-06
2240.9999894580410412.10839179182084e-051.05419589591042e-05
2250.9999817933511483.64132977035325e-051.82066488517663e-05
2260.9999738623763295.22752473417686e-052.61376236708843e-05
2270.999963150649487.36987010402022e-053.68493505201011e-05
2280.9999569489281278.61021437451279e-054.30510718725639e-05
2290.9999275138892460.000144972221508397.24861107541948e-05
2300.9999568799633768.62400732475749e-054.31200366237874e-05
2310.9999583485953788.33028092435449e-054.16514046217724e-05
2320.9999282613296050.000143477340789557.17386703947748e-05
2330.9999996771904736.45619054370868e-073.22809527185434e-07
2340.999999372258321.25548336008262e-066.27741680041312e-07
2350.9999987543311752.49133764978124e-061.24566882489062e-06
2360.9999975590445884.88191082485698e-062.44095541242849e-06
2370.9999999933241661.33516676799875e-086.67583383999377e-09
2380.9999999841076033.17847930239303e-081.58923965119652e-08
2390.9999999648339027.03321964939287e-083.51660982469643e-08
2400.9999999384806971.23038606619824e-076.1519303309912e-08
2410.9999998666700622.66659875586912e-071.33329937793456e-07
2420.9999997861246674.27750665154258e-072.13875332577129e-07
2430.9999995816666748.3666665286282e-074.1833332643141e-07
2440.9999990956533131.80869337419069e-069.04346687095346e-07
2450.9999986791071472.6417857056795e-061.32089285283975e-06
2460.9999974832357045.0335285924052e-062.5167642962026e-06
2470.9999977313130244.53737395161886e-062.26868697580943e-06
2480.9999958896392638.22072147394009e-064.11036073697005e-06
2490.9999925737075521.48525848950474e-057.42629244752372e-06
2500.9999908063756031.83872487948598e-059.19362439742992e-06
2510.9999845359052953.09281894107658e-051.54640947053829e-05
2520.9999749826835925.00346328165593e-052.50173164082796e-05
2530.9999445722316810.0001108555366372045.54277683186018e-05
2540.9998819209908030.0002361580183945850.000118079009197293
2550.9998906534112040.0002186931775927340.000109346588796367
2560.9997600175767970.0004799648464050750.000239982423202537
2570.9996814563836060.000637087232788450.000318543616394225
2580.9997874177677440.0004251644645128820.000212582232256441
2590.9995430838052050.0009138323895899390.00045691619479497
2600.9991771698100520.001645660379895210.000822830189947604
2610.9987628284910880.002474343017824870.00123717150891243
2620.9973089572680850.005382085463829330.00269104273191466
2630.9965742603911950.00685147921760980.0034257396088049
2640.9970672304992670.005865539001464970.00293276950073249
2650.9954792155355860.009041568928827020.00452078446441351
2660.9906573923175950.01868521536481050.00934260768240527
2670.9822133705932030.03557325881359490.0177866294067974
2680.9686631488344880.06267370233102380.0313368511655119
2690.9999392211121430.0001215577757143826.07788878571909e-05
2700.9999548428216419.0314356718228e-054.5157178359114e-05
2710.999614807741440.0007703845171203280.000385192258560164
2720.9981819950119690.003636009976061330.00181800498803067







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2020.7890625NOK
5% type I error level2220.8671875NOK
10% type I error level2260.8828125NOK

\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 & 202 & 0.7890625 & NOK \tabularnewline
5% type I error level & 222 & 0.8671875 & NOK \tabularnewline
10% type I error level & 226 & 0.8828125 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189987&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]202[/C][C]0.7890625[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]222[/C][C]0.8671875[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]226[/C][C]0.8828125[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189987&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189987&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 level2020.7890625NOK
5% type I error level2220.8671875NOK
10% type I error level2260.8828125NOK



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