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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationFri, 23 Dec 2011 10:15:52 -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/2011/Dec/23/t132465354103ou7kp09gqrm1d.htm/, Retrieved Mon, 29 Apr 2024 19:07:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160490, Retrieved Mon, 29 Apr 2024 19:07:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact73

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2010-12-05 18:04:16] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kendall tau Correlation Matrix] [Kendall Correlation] [2011-12-14 14:32:14] [7ead21d528290ed5f4bbc64b680f15e5]
- RMPD      [Multiple Regression] [multiple regression] [2011-12-23 15:15:52] [050dc696fa22882d0c3b1ebe5a70a85e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
112285	396	81	30	94	210907	24188	144	145
84786	297	55	28	103	120982	18273	103	101
83123	559	50	38	93	176508	14130	98	98
101193	967	125	30	103	179321	32287	135	132
38361	270	40	22	51	123185	8654	61	60
68504	143	37	26	70	52746	9245	39	38
119182	1562	63	25	91	385534	33251	150	144
22807	109	44	18	22	33170	1271	5	5
17140	371	88	11	38	101645	5279	28	28
116174	656	66	26	93	149061	27101	84	84
57635	511	57	25	60	165446	16373	80	79
66198	655	74	38	123	237213	19716	130	127
71701	465	49	44	148	173326	17753	82	78
57793	525	52	30	90	133131	9028	60	60
80444	885	88	40	124	258873	18653	131	131
53855	497	36	34	70	180083	8828	84	84
97668	1436	108	47	168	324799	29498	140	133
133824	612	43	30	115	230964	27563	151	150
101481	865	75	31	71	236785	18293	91	91
99645	385	32	23	66	135473	22530	138	132
114789	567	44	36	134	202925	15977	150	136
99052	639	85	36	117	215147	35082	124	124
67654	963	86	30	108	344297	16116	119	118
65553	398	56	25	84	153935	15849	73	70
97500	410	50	39	156	132943	16026	110	107
69112	966	135	34	120	174724	26569	123	119
82753	801	63	31	114	174415	24785	90	89
85323	892	81	31	94	225548	17569	116	112
72654	513	52	33	120	223632	23825	113	108
30727	469	44	25	81	124817	7869	56	52
77873	683	113	33	110	221698	14975	115	112
117478	643	39	35	133	210767	37791	119	116
74007	535	73	42	122	170266	9605	129	123
90183	625	48	43	158	260561	27295	127	125
61542	264	33	30	109	84853	2746	27	27
101494	992	59	33	124	294424	34461	175	162
27570	238	41	13	39	101011	8098	35	32
55813	818	69	32	92	215641	4787	64	64
79215	937	64	36	126	325107	24919	96	92
1423	70	1	0	0	7176	603	0	0
55461	507	59	28	70	167542	16329	84	83
31081	260	32	14	37	106408	12558	41	41
22996	503	129	17	38	96560	7784	47	47
83122	927	37	32	120	265769	28522	126	120
70106	1269	31	30	93	269651	22265	105	105
60578	537	65	35	95	149112	14459	80	79
39992	910	107	20	77	175824	14526	70	65
79892	532	74	28	90	152871	22240	73	70
49810	345	54	28	80	111665	11802	57	55
71570	918	76	39	31	116408	7623	40	39
100708	1635	715	34	110	362301	11912	68	67
33032	330	57	26	66	78800	7935	21	21
82875	557	66	39	138	183167	18220	127	127
139077	1178	106	39	133	277965	19199	154	152
71595	740	54	33	113	150629	19918	116	113
72260	452	32	28	100	168809	21884	102	99
5950	218	20	4	7	24188	2694	7	7
115762	764	71	39	140	329267	15808	148	141
32551	255	21	18	61	65029	3597	21	21
31701	454	70	14	41	101097	5296	35	35
80670	866	112	29	96	218946	25239	112	109
143558	574	66	44	164	244052	29801	137	133
117105	1276	190	21	78	341570	18450	135	123
23789	379	66	16	49	103597	7132	26	26
120733	825	165	28	102	233328	34861	230	230
105195	798	56	35	124	256462	35940	181	166
73107	663	61	28	99	206161	16688	71	68
132068	1069	53	38	129	311473	24683	147	147
149193	921	127	23	62	235800	46230	190	179
46821	858	63	36	73	177939	10387	64	61
87011	711	38	32	114	207176	21436	105	101
95260	503	50	29	99	196553	30546	107	108
55183	382	52	25	70	174184	19746	94	90
106671	464	42	27	104	143246	15977	116	114
73511	717	76	36	116	187559	22583	106	103
92945	690	67	28	91	187681	17274	143	142
78664	462	50	23	74	119016	16469	81	79
70054	657	53	40	138	182192	14251	89	88
22618	385	39	23	67	73566	3007	26	25
74011	577	50	40	151	194979	16851	84	83
83737	619	77	28	72	167488	21113	113	113
69094	479	57	34	120	143756	17401	120	118
93133	817	73	33	115	275541	23958	110	110
95536	752	34	28	105	243199	23567	134	129
225920	430	39	34	104	182999	13065	54	51
62133	451	46	30	108	135649	15358	96	93
61370	537	63	33	98	152299	14587	78	76
43836	519	35	22	69	120221	12770	51	49
106117	1000	106	38	111	346485	24021	121	118
38692	637	43	26	99	145790	9648	38	38
84651	465	47	35	71	193339	20537	145	141
56622	437	31	8	27	80953	7905	59	58
15986	711	162	24	69	122774	4527	27	27
95364	299	57	29	107	130585	30495	91	91
26706	248	36	20	73	112611	7117	48	48
89691	1162	263	29	107	286468	17719	68	63
67267	714	78	45	93	241066	27056	58	56
126846	905	63	37	129	148446	33473	150	144
41140	649	54	33	69	204713	9758	74	73
102860	512	63	33	118	182079	21115	181	168
51715	472	77	25	73	140344	7236	65	64
55801	905	79	32	119	220516	13790	97	97
111813	786	110	29	104	243060	32902	121	117
120293	489	56	28	107	162765	25131	99	100
138599	479	56	28	99	182613	30910	152	149
161647	617	43	31	90	232138	35947	188	187
115929	925	111	52	197	265318	29848	138	127
24266	351	71	21	36	85574	6943	40	37
162901	1144	62	24	85	310839	42705	254	245
109825	669	56	41	139	225060	31808	87	87
129838	707	74	33	106	232317	26675	178	177
37510	458	60	32	50	144966	8435	51	49
43750	214	43	19	64	43287	7409	49	49
40652	599	68	20	31	155754	14993	73	73
87771	572	53	31	63	164709	36867	176	177
85872	897	87	31	92	201940	33835	94	94
89275	819	46	32	106	235454	24164	120	117
44418	720	105	18	63	220801	12607	66	60
192565	273	32	23	69	99466	22609	56	55
35232	508	133	17	41	92661	5892	39	39
40909	506	79	20	56	133328	17014	66	64
13294	451	51	12	25	61361	5394	27	26
32387	699	207	17	65	125930	9178	65	64
140867	407	67	30	93	100750	6440	58	58
120662	465	47	31	114	224549	21916	98	95
21233	245	34	10	38	82316	4011	25	25
44332	370	66	13	44	102010	5818	26	26
61056	316	76	22	87	101523	18647	77	76
101338	603	65	42	110	243511	20556	130	129
1168	154	9	1	0	22938	238	11	11
13497	229	42	9	27	41566	70	2	2
65567	577	45	32	83	152474	22392	101	101
25162	192	25	11	30	61857	3913	31	28
32334	617	115	25	80	99923	12237	36	36
40735	411	97	36	98	132487	8388	120	89
91413	975	53	31	82	317394	22120	195	193
855	146	2	0	0	21054	338	4	4
97068	705	52	24	60	209641	11727	89	84
44339	184	44	13	28	22648	3704	24	23
14116	200	22	8	9	31414	3988	39	39
10288	274	35	13	33	46698	3030	14	14
65622	502	74	19	59	131698	13520	78	78
16563	382	103	18	49	91735	1421	15	14
76643	964	144	33	115	244749	20923	106	101
110681	537	60	40	140	184510	20237	83	82
29011	438	134	22	49	79863	3219	24	24
92696	369	89	38	120	128423	3769	37	36
94785	417	42	24	66	97839	12252	77	75
8773	276	52	8	21	38214	1888	16	16
83209	514	98	35	124	151101	14497	56	55
93815	822	99	43	152	272458	28864	132	131
86687	389	52	43	139	172494	21721	144	131
34553	466	29	14	38	108043	4821	40	39
105547	1255	125	41	144	328107	33644	153	144
103487	694	106	38	120	250579	15923	143	139
213688	1024	95	45	160	351067	42935	220	211
71220	400	40	31	114	158015	18864	79	78
23517	397	140	13	39	98866	4977	50	50
56926	350	43	28	78	85439	7785	39	39
91721	719	128	31	119	229242	17939	95	90
115168	1277	142	40	141	351619	23436	169	166
111194	356	73	30	101	84207	325	12	12
51009	457	72	16	56	120445	13539	63	57
135777	1402	128	37	133	324598	34538	134	133
51513	600	61	30	83	131069	12198	69	69
74163	480	73	35	116	204271	26924	119	119
51633	595	148	32	90	165543	12716	119	119
75345	436	64	27	36	141722	8172	75	65
33416	230	45	20	50	116048	10855	63	61
83305	651	58	18	61	250047	11932	55	49
98952	1367	97	31	97	299775	14300	103	101
102372	564	50	31	98	195838	25515	197	196
37238	716	37	21	78	173260	2805	16	15
103772	747	50	39	117	254488	29402	140	136
123969	467	105	41	148	104389	16440	89	89
27142	671	69	13	41	136084	11221	40	40
135400	861	46	32	105	199476	28732	125	123
21399	319	57	18	55	92499	5250	21	21
130115	612	52	39	132	224330	28608	167	163
24874	433	98	14	44	135781	8092	32	29
34988	434	61	7	21	74408	4473	36	35
45549	503	89	17	50	81240	1572	13	13
6023	85	0	0	0	14688	2065	5	5
64466	564	48	30	73	181633	14817	96	96
54990	824	91	37	86	271856	16714	151	151
1644	74	0	0	0	7199	556	6	6
6179	259	7	5	13	46660	2089	13	13
3926	69	3	1	4	17547	2658	3	3
32755	535	54	16	57	133368	10695	57	56
34777	239	70	32	48	95227	1669	23	23
73224	438	36	24	46	152601	16267	61	57
27114	459	37	17	48	98146	7768	21	14
20760	426	123	11	32	79619	7252	43	43
37636	288	247	24	68	59194	6387	20	20
65461	498	46	22	87	139942	18715	82	72
30080	454	72	12	43	118612	7936	90	87
24094	376	41	19	67	72880	8643	25	21
69008	225	24	13	46	65475	7294	60	56
54968	555	45	17	46	99643	4570	61	59
46090	252	33	15	56	71965	7185	85	82
27507	208	27	16	48	77272	10058	43	43
10672	130	36	24	44	49289	2342	25	25
34029	481	87	15	60	135131	8509	41	38
46300	389	90	17	65	108446	13275	26	25
24760	565	114	18	55	89746	6816	38	38
18779	173	31	20	38	44296	1930	12	12
21280	278	45	16	52	77648	8086	29	29
40662	609	69	16	60	181528	10737	49	47
28987	422	51	18	54	134019	8033	46	45
22827	445	34	22	86	124064	7058	41	40
18513	387	60	8	24	92630	6782	31	30
30594	339	45	17	52	121848	5401	41	41
24006	181	54	18	49	52915	6521	26	25
27913	245	25	16	61	81872	10856	23	23
42744	384	38	23	61	58981	2154	14	14
12934	212	52	22	81	53515	6117	16	16
22574	399	67	13	43	60812	5238	25	26
41385	229	74	13	40	56375	4820	21	21
18653	224	38	16	40	65490	5615	32	27
18472	203	30	16	56	80949	4272	9	9
30976	333	26	20	68	76302	8702	35	33
63339	384	67	22	79	104011	15340	42	42
25568	636	132	17	47	98104	8030	68	68
33747	185	42	18	57	67989	9526	32	32
4154	93	35	17	41	30989	1278	6	6
19474	581	118	12	29	135458	4236	68	67
35130	248	68	7	3	73504	3023	33	33
39067	304	43	17	60	63123	7196	84	77
13310	344	76	14	30	61254	3394	46	46
65892	407	64	23	79	74914	6371	30	30
4143	170	48	17	47	31774	1574	0	0
28579	312	64	14	40	81437	9620	36	36
51776	507	56	15	48	87186	6978	47	46
21152	224	71	17	36	50090	4911	20	18
38084	340	75	21	42	65745	8645	50	48
27717	168	39	18	49	56653	8987	30	29
32928	443	42	18	57	158399	5544	30	28
11342	204	39	17	12	46455	3083	34	34
19499	367	93	17	40	73624	6909	33	33
16380	210	38	16	43	38395	3189	34	34
36874	335	60	15	33	91899	6745	37	33
48259	364	71	21	77	139526	16724	83	80
16734	178	52	16	43	52164	4850	32	32
28207	206	27	14	45	51567	7025	30	30
30143	279	59	15	47	70551	6047	43	41
41369	387	40	17	43	84856	7377	41	41
45833	490	79	15	45	102538	9078	51	51
29156	238	44	15	50	86678	4605	19	18
35944	343	65	10	35	85709	3238	37	34
36278	232	10	6	7	34662	8100	33	31
45588	530	124	22	71	150580	9653	41	39
45097	291	81	21	67	99611	8914	54	54
3895	67	15	1	0	19349	786	14	14
28394	397	92	18	62	99373	6700	25	24
18632	467	42	17	54	86230	5788	25	24
2325	178	10	4	4	30837	593	8	8
25139	175	24	10	25	31706	4506	26	26
27975	299	64	16	40	89806	6382	20	19
14483	154	45	16	38	62088	5621	11	11
13127	106	22	9	19	40151	3997	14	14
5839	189	56	16	17	27634	520	3	1
24069	194	94	17	67	76990	8891	40	39
3738	135	19	7	14	37460	999	5	5
18625	201	35	15	30	54157	7067	38	37
36341	207	32	14	54	49862	4639	32	32
24548	280	35	14	35	84337	5654	41	38
21792	260	48	18	59	64175	6928	46	47
26263	227	49	12	24	59382	1514	47	47
23686	239	48	16	58	119308	9238	37	37
49303	333	62	21	42	76702	8204	51	51
25659	428	96	19	46	103425	5926	49	45
28904	230	45	16	61	70344	5785	21	21
2781	292	63	1	3	43410	4	1	1
29236	350	71	16	52	104838	5930	44	42
19546	186	26	10	25	62215	3710	26	26
22818	326	48	19	40	69304	705	21	21
32689	155	29	12	32	53117	443	4	4
5752	75	19	2	4	19764	2416	10	10
22197	361	45	14	49	86680	7747	43	43
20055	261	45	17	63	84105	5432	34	34
25272	299	67	19	67	77945	4913	32	31
82206	300	30	14	32	89113	2650	20	19
32073	450	36	11	23	91005	2370	34	34
5444	183	34	4	7	40248	775	6	6
20154	238	36	16	54	64187	5576	12	11
36944	165	34	20	37	50857	1352	24	24
8019	234	37	12	35	56613	3080	16	16
30884	176	46	15	51	62792	10205	72	72
19540	329	44	16	39	72535	6095	27	21

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 11 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160490&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]11 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160490&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160490&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
totsize[t] = -936.979957120353 -7.90261741362025compviewsinfo[t] + 6.62366620222427compviewspr[t] + 481.514022100166reviews[t] + 166.157378568038feedbackm[t] + 0.0578346042887241time[t] + 1.40064526121532totrevisions[t] -64.2798117984318tothyperlinks[t] + 257.553102235401totblogs[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
totsize[t] =  -936.979957120353 -7.90261741362025compviewsinfo[t] +  6.62366620222427compviewspr[t] +  481.514022100166reviews[t] +  166.157378568038feedbackm[t] +  0.0578346042887241time[t] +  1.40064526121532totrevisions[t] -64.2798117984318tothyperlinks[t] +  257.553102235401totblogs[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160490&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]totsize[t] =  -936.979957120353 -7.90261741362025compviewsinfo[t] +  6.62366620222427compviewspr[t] +  481.514022100166reviews[t] +  166.157378568038feedbackm[t] +  0.0578346042887241time[t] +  1.40064526121532totrevisions[t] -64.2798117984318tothyperlinks[t] +  257.553102235401totblogs[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160490&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160490&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
totsize[t] = -936.979957120353 -7.90261741362025compviewsinfo[t] + 6.62366620222427compviewspr[t] + 481.514022100166reviews[t] + 166.157378568038feedbackm[t] + 0.0578346042887241time[t] + 1.40064526121532totrevisions[t] -64.2798117984318tothyperlinks[t] + 257.553102235401totblogs[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-936.9799571203533263.168949-0.28710.7742190.387109
compviewsinfo-7.9026174136202510.793759-0.73210.4646910.232346
compviewspr6.6236662022242729.2085680.22680.8207670.410384
reviews481.514022100166308.9433061.55860.1202240.060112
feedbackm166.15737856803888.1625041.88470.060510.030255
time0.05783460428872410.0463761.24710.2134140.106707
totrevisions1.400645261215320.2832474.9451e-061e-06
tothyperlinks-64.2798117984318426.643197-0.15070.8803490.440175
totblogs257.553102235401439.2698260.58630.5581320.279066

\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) & -936.979957120353 & 3263.168949 & -0.2871 & 0.774219 & 0.387109 \tabularnewline
compviewsinfo & -7.90261741362025 & 10.793759 & -0.7321 & 0.464691 & 0.232346 \tabularnewline
compviewspr & 6.62366620222427 & 29.208568 & 0.2268 & 0.820767 & 0.410384 \tabularnewline
reviews & 481.514022100166 & 308.943306 & 1.5586 & 0.120224 & 0.060112 \tabularnewline
feedbackm & 166.157378568038 & 88.162504 & 1.8847 & 0.06051 & 0.030255 \tabularnewline
time & 0.0578346042887241 & 0.046376 & 1.2471 & 0.213414 & 0.106707 \tabularnewline
totrevisions & 1.40064526121532 & 0.283247 & 4.945 & 1e-06 & 1e-06 \tabularnewline
tothyperlinks & -64.2798117984318 & 426.643197 & -0.1507 & 0.880349 & 0.440175 \tabularnewline
totblogs & 257.553102235401 & 439.269826 & 0.5863 & 0.558132 & 0.279066 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160490&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]-936.979957120353[/C][C]3263.168949[/C][C]-0.2871[/C][C]0.774219[/C][C]0.387109[/C][/ROW]
[ROW][C]compviewsinfo[/C][C]-7.90261741362025[/C][C]10.793759[/C][C]-0.7321[/C][C]0.464691[/C][C]0.232346[/C][/ROW]
[ROW][C]compviewspr[/C][C]6.62366620222427[/C][C]29.208568[/C][C]0.2268[/C][C]0.820767[/C][C]0.410384[/C][/ROW]
[ROW][C]reviews[/C][C]481.514022100166[/C][C]308.943306[/C][C]1.5586[/C][C]0.120224[/C][C]0.060112[/C][/ROW]
[ROW][C]feedbackm[/C][C]166.157378568038[/C][C]88.162504[/C][C]1.8847[/C][C]0.06051[/C][C]0.030255[/C][/ROW]
[ROW][C]time[/C][C]0.0578346042887241[/C][C]0.046376[/C][C]1.2471[/C][C]0.213414[/C][C]0.106707[/C][/ROW]
[ROW][C]totrevisions[/C][C]1.40064526121532[/C][C]0.283247[/C][C]4.945[/C][C]1e-06[/C][C]1e-06[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]-64.2798117984318[/C][C]426.643197[/C][C]-0.1507[/C][C]0.880349[/C][C]0.440175[/C][/ROW]
[ROW][C]totblogs[/C][C]257.553102235401[/C][C]439.269826[/C][C]0.5863[/C][C]0.558132[/C][C]0.279066[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160490&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160490&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-936.9799571203533263.168949-0.28710.7742190.387109
compviewsinfo-7.9026174136202510.793759-0.73210.4646910.232346
compviewspr6.6236662022242729.2085680.22680.8207670.410384
reviews481.514022100166308.9433061.55860.1202240.060112
feedbackm166.15737856803888.1625041.88470.060510.030255
time0.05783460428872410.0463761.24710.2134140.106707
totrevisions1.400645261215320.2832474.9451e-061e-06
tothyperlinks-64.2798117984318426.643197-0.15070.8803490.440175
totblogs257.553102235401439.2698260.58630.5581320.279066






Multiple Linear Regression - Regression Statistics
Multiple R0.854183459798252
R-squared0.729629382992912
Adjusted R-squared0.721904508221281
F-TEST (value)94.4519367061341
F-TEST (DF numerator)8
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation21317.7253248478
Sum Squared Residuals127244715647.184

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.854183459798252 \tabularnewline
R-squared & 0.729629382992912 \tabularnewline
Adjusted R-squared & 0.721904508221281 \tabularnewline
F-TEST (value) & 94.4519367061341 \tabularnewline
F-TEST (DF numerator) & 8 \tabularnewline
F-TEST (DF denominator) & 280 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 21317.7253248478 \tabularnewline
Sum Squared Residuals & 127244715647.184 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160490&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.854183459798252[/C][/ROW]
[ROW][C]R-squared[/C][C]0.729629382992912[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.721904508221281[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]94.4519367061341[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]8[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]280[/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]21317.7253248478[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]127244715647.184[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160490&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160490&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.854183459798252
R-squared0.729629382992912
Adjusted R-squared0.721904508221281
F-TEST (value)94.4519367061341
F-TEST (DF numerator)8
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation21317.7253248478
Sum Squared Residuals127244715647.184






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1112285100699.75214802411585.2478519761
28478679659.82658825235126.17341174768
38312377666.97960300065456.02039699945
4101193104721.605461502-3528.60546150178
53836147039.2522167483-8678.25221674833
66850445608.017179136322895.9828208637
7119182110610.3314783938571.66852160693
82280715480.75118743927326.24881256076
91714027008.9230560277-9868.92305602773
1011617485102.793341106731071.2066588933
115763565115.2037203857-7480.20372038573
126619898798.9577469601-32600.9577469601
137170191198.864942125-19497.864942125
145779356599.16282540531193.83717459474
158044498933.016704792-18489.016704792
165385562391.2462295993-8536.24622959933
1797668124332.06052413-26664.06052413
18133824108955.36566433524868.6343356653
1910148176352.379478382425128.6205216176
209964582791.639699778216853.3603002218
2111478993972.717353954220816.2826460458
2299052116897.443907878-17845.4439078779
236765489639.9005576126-21985.9005576126
246555366721.6614231816-1168.66142318159
259750091476.57752747996023.42247252008
266911298694.8883979714-29582.8883979714
278275388958.4486505028-6205.44865050277
288532382138.03574696323184.96425303681
297265498038.4139926296-25384.4139926296
303072749178.2432248425-18451.2432248426
317787383831.5289838642-5958.52898386425
32117478120540.155514866-3062.15551486621
337400782500.8367936165-8493.83679361646
3490183118730.445315102-28547.4453151016
356154243723.87536408517818.124635915
36101494123878.064923496-22384.0649234956
372757033369.8498619026-5799.84986190256
385581355296.5308587851516.469141214909
3979215101581.654092165-22366.6540921648
401423-223.9292969828091646.92929698281
415546169098.8634752691-13637.8634752691
423108141776.8888216416-10695.8888216416
432299636013.1519391607-13017.1519391607
4483122105456.668554545-22334.6685545448
457010686212.2101849966-16106.2101849966
466057871967.8680117142-11389.8680117142
473999257760.6184201507-17768.6184201507
487989277113.41086456912778.58913543087
494981056959.2657255485-7149.26572554848
507157041124.649443590530445.3505564095
5110070876050.002267575224657.9977324249
523303240048.6828948779-7016.68289487794
538287597466.0447257266-14591.0447257266
54139077103549.78823253735527.2117674631
557159586495.1709454897-14900.1709454897
567226085157.0636956789-12897.0636956789
5759507087.03528444037-1137.03528444037
58115762103522.78270931412239.2172906858
593255128847.58866916583703.4113308342
603170129521.8246604112179.17533958896
618067091763.7092014169-11093.7092014169
62143558124704.01533064718853.9846693534
6311710581907.574632421535197.4253675785
642378933357.0249707487-9568.0249707487
65120733130841.894633964-10108.8946339641
66105195126874.900378812-21679.9003788115
677310772406.553721273700.446278726974
68132068111695.22938995520372.7706100453
69149193126280.5661678422912.4338321598
704682158600.223965841-11779.223965841
718701189316.0051259143-2305.00512591427
7295260100922.144217916-5662.14421791629
735518374925.9988191775-19742.9988191775
7410667178522.926061831128148.0739381689
757351192701.4846576082-19190.4846576082
769294585086.44377152357858.55622847653
777866464204.163022142514459.8369778575
787005483853.7014260505-13799.7014260505
792261831720.1554415895-9102.1554415895
807401190040.9280539328-16029.9280539328
818373781225.35345964972511.64654035025
826909487329.9656673556-18235.9656673556
839313398840.6963299267-5707.69632992669
849553695959.5539740132-423.553974013207
8522592068122.2651242918157797.734875708
866213375331.9385171412-13198.9385171412
876137071209.566565008-9839.56656500796
884383651432.5630854158-7596.56308541582
89106117104900.6446303531216.35536964747
903869252572.3329260026-13880.3329260026
918465191290.9309014629-6639.93090146286
925662231052.827827972925569.1721720271
931598636198.1742844183-20212.1742844183
949536496673.3110289872-1309.31102898724
952670644859.7148736535-18153.7148736535
968969176605.564010516113085.4359894839
976726793590.5239204439-26323.5239204439
98126846114493.55235631412352.4476436862
994114061198.3833636573-20058.3833636573
100102860102670.071143059189.928856940544
1015171550567.36569981141147.63430018857
1025580178431.4605942084-22630.4605942084
103111813107321.6050868554491.39491314504
10412029390835.471842680329457.5281573197
105138599108040.74116297630558.2588370241
106161647124205.45157679837441.5484232021
107115929131249.709863983-15320.7098639828
1082426634485.0325104035-10219.0325104035
109162901140678.05102849822222.9489715023
110109825111367.80160553-1542.80160552979
111129838112411.9323909417426.0676090605
1123751049097.6845066673-11587.6845066673
1134375039790.77469891993959.22530108006
1144065253677.7162511708-13025.7162511708
11587771115725.747628057-27954.7476280569
11685872100001.686400181-14129.6864001808
1178927595799.3124177787-6524.31241777865
1184441854842.3795290197-10424.3795290197
11919256567642.7610601652124922.238939835
1203523232076.90137276873155.0986272313
1214090958305.1404626706-17396.1404626706
1221329421833.5447273719-8539.5447273719
1233238746339.6020589256-13952.6020589256
12414086752245.339970577688621.6600294224
12512066291419.858358252729242.1416417473
1262123323691.7377242949-2458.73772429492
1274433229220.588178087515111.4118219125
1286105668732.0569716651-7676.05697166507
129101338100972.181585367365.818414633431
13011682173.11389925299-1005.11389925299
131134979239.934966916684257.06503308332
1326556783702.9103802596-18135.9103802596
1332516222269.69747612612892.30252387386
1343233450155.8092314439-17821.8092314439
1354073564695.0621553843-23960.0621553843
13691413106772.677103438-15359.6771034384
137855386.646251629011468.353748370989
1389706859825.31324695737242.686753043
1394433919691.30267260324647.697327397
1401411617915.9936884127-3799.99368841269
1411028818522.9485273478-8234.94852734779
1426562256166.85145695549455.14854304461
1431656323472.7423522749-6909.74235227488
1447664390056.6316945107-13413.6316945107
14511068192539.379339990918141.6206600091
1462901128990.345991499320.6540085007009
1479269654572.762797246438123.2372027536
1489478555754.668826378339030.3311736217
149877312514.6278744216-3741.62787442159
1508320972716.471752743210492.5282472568
15193815120624.082646014-26809.0826460136
15286687105017.012527662-18330.0125276619
1533455329102.17681371395450.82318628606
154105547126994.014078395-21447.0140783948
15510348795919.61036917467567.38963082543
156213688160495.97095606153192.0290439388
1577122080607.3396139157-9387.33961391568
1582351731945.3662239656-8428.36622396556
1595692646407.602183347210518.3978166528
1609172184386.02290870547334.97709129456
161115168117652.484312883-2484.48431288315
16211119435605.099493249275588.9005067508
1635100949497.58919409441511.41080590563
164135777121535.88060120814241.1193987916
1655151360963.2280031694-9450.22800316944
16674163104404.965032125-30241.9650321251
1675163376088.1186594151-24455.1186594151
1687534546586.412336714328758.5876632857
1693341649058.3379493007-15642.3379493007
1708330553364.022152819929940.9778471801
1719895276705.476512849722246.5234871503
172102372111028.447104933-8656.44710493348
1733723833505.94465814973732.05534185028
174103772113638.441298099-9866.44129809918
17512396986666.577046494737302.4229535053
1762714238607.4679184883-11465.4679184883
177135400100842.53882239134557.4611776093
1782139931487.3120631661-10088.3120631661
179130115119572.99316811710542.0068318832
1802487434941.3748029545-10067.3748029545
1813498820165.959671161114822.0403288389
1824554921583.967458658423965.0325413416
18360233099.471147109212923.52885289079
1846446671311.0584959266-6845.05849592661
1855499093576.906228467-38586.906228467
1861644832.976178403822811.023821596178
18761799767.28719052418-3588.28719052418
18839265001.31275339433-1075.31275339433
1893275545820.203659642-13065.203659642
1903477733312.33247727221464.66752272777
1917322457409.074764494515814.9252355055
1922711430654.4016916492-3540.40169164917
1932076030197.8706068172-9437.87060681716
1943763637512.9987111253123.001288874659
1956546168060.6506883168-2599.65068831683
1963008043472.4069568038-13392.4069568038
1972409436766.8997988402-12672.8997988402
1986900835916.033083485733091.9669165143
1995496834242.436978332820725.5630216672
2004609043698.93885053972391.06114946035
2012750740145.3302018668-12638.3302018668
2021067228104.1462232642-17432.1462232642
2033402939915.1571131369-5886.15711313687
2044630045204.0495982611095.95040173901
2052476035240.6549038271-10480.6549038271
2061877921429.8281811436-2650.82818114358
2072128034929.849778804-13649.849778804
2084066246873.6393175564-6211.63931755642
2092898741341.0107845008-12354.0107845007
2102282745382.0013935635-22555.0013935635
2111851324832.3307965138-6319.33079651378
2123059436044.1406071154-5450.14060711542
2132400631760.7664970201-7754.76649702008
2142791339518.0202359815-11605.0202359815
2154274426624.495627016716119.5043729833
2161293436539.2905022792-23605.2905022792
2172257425701.1140935334-3127.11409353336
2184138524719.724459159916665.2755408401
2191865328444.243713636-9791.24371363598
2201847227071.2057998067-8599.20579980675
2213097640383.4159503889-9407.4159503889
2226333955810.75351674737528.24648325266
2232556840969.9856913253-15401.9856913253
2243374739476.8617413407-5729.86174134069
225415418299.9967762415-14145.9967762415
2261947432502.2479828325-13028.2479828324
2273513016285.894479170618844.1055208294
2283906743262.4447929-4195.44479290003
2291331025760.7981781737-12450.7981781737
2306589239526.156025654726365.8439743453
231414318074.8985864944-13931.8985864944
2322857935550.7320369794-6971.73203697942
2335177634267.944814846417508.0551851536
2342115225056.381857658-3904.38185765804
2353808439022.7821109229-938.78211092293
2362771736207.4156570999-8490.41565709988
2373292836187.7908068661-3259.79080686607
2381134221465.0237483236-10123.0237483236
2391949931923.8855276219-12424.8855276219
2401638025762.6705782704-9382.67057827039
2413687430402.16092935116471.83907064889
2424825966325.506364638-18066.506364638
2431673428844.5355267935-12110.5355267935
2442820730452.2869006013-2245.2869006013
2453014332626.7295606728-2483.7295606728
2464136934764.53758745126604.46241254883
2474583338916.03965540096916.96034459906
2482915627881.81634574191274.18365425812
2493594423284.296938294612659.7030617054
2503627820560.837297168315717.1627028317
2514558847724.7119110236-2136.71191102356
2524509747227.2864759321-2130.28647593215
25338954040.18869111597-145.188691115968
2542839435209.8686301132-6815.86863011324
2551863230477.2203680091-11845.2203680091
25623254473.49106379814-2148.49106379814
2572513919978.22173152785160.77826847218
2582797529215.296805807-1240.29680580704
2591448325752.1547986466-11269.1547986466
2601312716488.0020171708-3361.00201717082
261583910860.501105876-5021.50110587596
2622406941850.0213443054-17781.0213443054
26337388350.91314933144-4612.91314933144
2641862530031.194608206-11406.194608206
2653634128918.91800861317422.08199138694
2662454829587.2109734466-5039.21097344656
2672179238360.143788627-16568.143788627
2682626321998.38693262234264.61306737768
2692368641823.9864070341-18137.9864070341
2704930339716.38146609279586.61853390728
2712565935830.5241682898-10171.5241682898
2722890431613.096802493-2709.09680249305
2732781862.2089303023081918.79106969769
2742923635469.8015057951-6233.80150579507
2751954620554.1025866997-1008.10258669974
2762281821654.12773032981163.87226967022
2773268913590.984731482719098.0152685173
27857526683.56592780113-931.565927801135
2792219735565.8018220704-13368.8018220704
2802005534995.9314299958-14940.9314299958
2812527234741.714447101-9469.714447101
2828220621422.614969145560783.3850308545
2833207320017.627447429912055.3725525701
28454445504.07041891597-60.0704189159706
2852015427681.32598302-7527.32598302
2863694423235.922103490713708.0778965093
287801919733.1102367904-11714.1102367904
2883088445514.3969365189-14630.3969365189
2891954027343.8884620283-7803.88846202833

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 112285 & 100699.752148024 & 11585.2478519761 \tabularnewline
2 & 84786 & 79659.8265882523 & 5126.17341174768 \tabularnewline
3 & 83123 & 77666.9796030006 & 5456.02039699945 \tabularnewline
4 & 101193 & 104721.605461502 & -3528.60546150178 \tabularnewline
5 & 38361 & 47039.2522167483 & -8678.25221674833 \tabularnewline
6 & 68504 & 45608.0171791363 & 22895.9828208637 \tabularnewline
7 & 119182 & 110610.331478393 & 8571.66852160693 \tabularnewline
8 & 22807 & 15480.7511874392 & 7326.24881256076 \tabularnewline
9 & 17140 & 27008.9230560277 & -9868.92305602773 \tabularnewline
10 & 116174 & 85102.7933411067 & 31071.2066588933 \tabularnewline
11 & 57635 & 65115.2037203857 & -7480.20372038573 \tabularnewline
12 & 66198 & 98798.9577469601 & -32600.9577469601 \tabularnewline
13 & 71701 & 91198.864942125 & -19497.864942125 \tabularnewline
14 & 57793 & 56599.1628254053 & 1193.83717459474 \tabularnewline
15 & 80444 & 98933.016704792 & -18489.016704792 \tabularnewline
16 & 53855 & 62391.2462295993 & -8536.24622959933 \tabularnewline
17 & 97668 & 124332.06052413 & -26664.06052413 \tabularnewline
18 & 133824 & 108955.365664335 & 24868.6343356653 \tabularnewline
19 & 101481 & 76352.3794783824 & 25128.6205216176 \tabularnewline
20 & 99645 & 82791.6396997782 & 16853.3603002218 \tabularnewline
21 & 114789 & 93972.7173539542 & 20816.2826460458 \tabularnewline
22 & 99052 & 116897.443907878 & -17845.4439078779 \tabularnewline
23 & 67654 & 89639.9005576126 & -21985.9005576126 \tabularnewline
24 & 65553 & 66721.6614231816 & -1168.66142318159 \tabularnewline
25 & 97500 & 91476.5775274799 & 6023.42247252008 \tabularnewline
26 & 69112 & 98694.8883979714 & -29582.8883979714 \tabularnewline
27 & 82753 & 88958.4486505028 & -6205.44865050277 \tabularnewline
28 & 85323 & 82138.0357469632 & 3184.96425303681 \tabularnewline
29 & 72654 & 98038.4139926296 & -25384.4139926296 \tabularnewline
30 & 30727 & 49178.2432248425 & -18451.2432248426 \tabularnewline
31 & 77873 & 83831.5289838642 & -5958.52898386425 \tabularnewline
32 & 117478 & 120540.155514866 & -3062.15551486621 \tabularnewline
33 & 74007 & 82500.8367936165 & -8493.83679361646 \tabularnewline
34 & 90183 & 118730.445315102 & -28547.4453151016 \tabularnewline
35 & 61542 & 43723.875364085 & 17818.124635915 \tabularnewline
36 & 101494 & 123878.064923496 & -22384.0649234956 \tabularnewline
37 & 27570 & 33369.8498619026 & -5799.84986190256 \tabularnewline
38 & 55813 & 55296.5308587851 & 516.469141214909 \tabularnewline
39 & 79215 & 101581.654092165 & -22366.6540921648 \tabularnewline
40 & 1423 & -223.929296982809 & 1646.92929698281 \tabularnewline
41 & 55461 & 69098.8634752691 & -13637.8634752691 \tabularnewline
42 & 31081 & 41776.8888216416 & -10695.8888216416 \tabularnewline
43 & 22996 & 36013.1519391607 & -13017.1519391607 \tabularnewline
44 & 83122 & 105456.668554545 & -22334.6685545448 \tabularnewline
45 & 70106 & 86212.2101849966 & -16106.2101849966 \tabularnewline
46 & 60578 & 71967.8680117142 & -11389.8680117142 \tabularnewline
47 & 39992 & 57760.6184201507 & -17768.6184201507 \tabularnewline
48 & 79892 & 77113.4108645691 & 2778.58913543087 \tabularnewline
49 & 49810 & 56959.2657255485 & -7149.26572554848 \tabularnewline
50 & 71570 & 41124.6494435905 & 30445.3505564095 \tabularnewline
51 & 100708 & 76050.0022675752 & 24657.9977324249 \tabularnewline
52 & 33032 & 40048.6828948779 & -7016.68289487794 \tabularnewline
53 & 82875 & 97466.0447257266 & -14591.0447257266 \tabularnewline
54 & 139077 & 103549.788232537 & 35527.2117674631 \tabularnewline
55 & 71595 & 86495.1709454897 & -14900.1709454897 \tabularnewline
56 & 72260 & 85157.0636956789 & -12897.0636956789 \tabularnewline
57 & 5950 & 7087.03528444037 & -1137.03528444037 \tabularnewline
58 & 115762 & 103522.782709314 & 12239.2172906858 \tabularnewline
59 & 32551 & 28847.5886691658 & 3703.4113308342 \tabularnewline
60 & 31701 & 29521.824660411 & 2179.17533958896 \tabularnewline
61 & 80670 & 91763.7092014169 & -11093.7092014169 \tabularnewline
62 & 143558 & 124704.015330647 & 18853.9846693534 \tabularnewline
63 & 117105 & 81907.5746324215 & 35197.4253675785 \tabularnewline
64 & 23789 & 33357.0249707487 & -9568.0249707487 \tabularnewline
65 & 120733 & 130841.894633964 & -10108.8946339641 \tabularnewline
66 & 105195 & 126874.900378812 & -21679.9003788115 \tabularnewline
67 & 73107 & 72406.553721273 & 700.446278726974 \tabularnewline
68 & 132068 & 111695.229389955 & 20372.7706100453 \tabularnewline
69 & 149193 & 126280.56616784 & 22912.4338321598 \tabularnewline
70 & 46821 & 58600.223965841 & -11779.223965841 \tabularnewline
71 & 87011 & 89316.0051259143 & -2305.00512591427 \tabularnewline
72 & 95260 & 100922.144217916 & -5662.14421791629 \tabularnewline
73 & 55183 & 74925.9988191775 & -19742.9988191775 \tabularnewline
74 & 106671 & 78522.9260618311 & 28148.0739381689 \tabularnewline
75 & 73511 & 92701.4846576082 & -19190.4846576082 \tabularnewline
76 & 92945 & 85086.4437715235 & 7858.55622847653 \tabularnewline
77 & 78664 & 64204.1630221425 & 14459.8369778575 \tabularnewline
78 & 70054 & 83853.7014260505 & -13799.7014260505 \tabularnewline
79 & 22618 & 31720.1554415895 & -9102.1554415895 \tabularnewline
80 & 74011 & 90040.9280539328 & -16029.9280539328 \tabularnewline
81 & 83737 & 81225.3534596497 & 2511.64654035025 \tabularnewline
82 & 69094 & 87329.9656673556 & -18235.9656673556 \tabularnewline
83 & 93133 & 98840.6963299267 & -5707.69632992669 \tabularnewline
84 & 95536 & 95959.5539740132 & -423.553974013207 \tabularnewline
85 & 225920 & 68122.2651242918 & 157797.734875708 \tabularnewline
86 & 62133 & 75331.9385171412 & -13198.9385171412 \tabularnewline
87 & 61370 & 71209.566565008 & -9839.56656500796 \tabularnewline
88 & 43836 & 51432.5630854158 & -7596.56308541582 \tabularnewline
89 & 106117 & 104900.644630353 & 1216.35536964747 \tabularnewline
90 & 38692 & 52572.3329260026 & -13880.3329260026 \tabularnewline
91 & 84651 & 91290.9309014629 & -6639.93090146286 \tabularnewline
92 & 56622 & 31052.8278279729 & 25569.1721720271 \tabularnewline
93 & 15986 & 36198.1742844183 & -20212.1742844183 \tabularnewline
94 & 95364 & 96673.3110289872 & -1309.31102898724 \tabularnewline
95 & 26706 & 44859.7148736535 & -18153.7148736535 \tabularnewline
96 & 89691 & 76605.5640105161 & 13085.4359894839 \tabularnewline
97 & 67267 & 93590.5239204439 & -26323.5239204439 \tabularnewline
98 & 126846 & 114493.552356314 & 12352.4476436862 \tabularnewline
99 & 41140 & 61198.3833636573 & -20058.3833636573 \tabularnewline
100 & 102860 & 102670.071143059 & 189.928856940544 \tabularnewline
101 & 51715 & 50567.3656998114 & 1147.63430018857 \tabularnewline
102 & 55801 & 78431.4605942084 & -22630.4605942084 \tabularnewline
103 & 111813 & 107321.605086855 & 4491.39491314504 \tabularnewline
104 & 120293 & 90835.4718426803 & 29457.5281573197 \tabularnewline
105 & 138599 & 108040.741162976 & 30558.2588370241 \tabularnewline
106 & 161647 & 124205.451576798 & 37441.5484232021 \tabularnewline
107 & 115929 & 131249.709863983 & -15320.7098639828 \tabularnewline
108 & 24266 & 34485.0325104035 & -10219.0325104035 \tabularnewline
109 & 162901 & 140678.051028498 & 22222.9489715023 \tabularnewline
110 & 109825 & 111367.80160553 & -1542.80160552979 \tabularnewline
111 & 129838 & 112411.93239094 & 17426.0676090605 \tabularnewline
112 & 37510 & 49097.6845066673 & -11587.6845066673 \tabularnewline
113 & 43750 & 39790.7746989199 & 3959.22530108006 \tabularnewline
114 & 40652 & 53677.7162511708 & -13025.7162511708 \tabularnewline
115 & 87771 & 115725.747628057 & -27954.7476280569 \tabularnewline
116 & 85872 & 100001.686400181 & -14129.6864001808 \tabularnewline
117 & 89275 & 95799.3124177787 & -6524.31241777865 \tabularnewline
118 & 44418 & 54842.3795290197 & -10424.3795290197 \tabularnewline
119 & 192565 & 67642.7610601652 & 124922.238939835 \tabularnewline
120 & 35232 & 32076.9013727687 & 3155.0986272313 \tabularnewline
121 & 40909 & 58305.1404626706 & -17396.1404626706 \tabularnewline
122 & 13294 & 21833.5447273719 & -8539.5447273719 \tabularnewline
123 & 32387 & 46339.6020589256 & -13952.6020589256 \tabularnewline
124 & 140867 & 52245.3399705776 & 88621.6600294224 \tabularnewline
125 & 120662 & 91419.8583582527 & 29242.1416417473 \tabularnewline
126 & 21233 & 23691.7377242949 & -2458.73772429492 \tabularnewline
127 & 44332 & 29220.5881780875 & 15111.4118219125 \tabularnewline
128 & 61056 & 68732.0569716651 & -7676.05697166507 \tabularnewline
129 & 101338 & 100972.181585367 & 365.818414633431 \tabularnewline
130 & 1168 & 2173.11389925299 & -1005.11389925299 \tabularnewline
131 & 13497 & 9239.93496691668 & 4257.06503308332 \tabularnewline
132 & 65567 & 83702.9103802596 & -18135.9103802596 \tabularnewline
133 & 25162 & 22269.6974761261 & 2892.30252387386 \tabularnewline
134 & 32334 & 50155.8092314439 & -17821.8092314439 \tabularnewline
135 & 40735 & 64695.0621553843 & -23960.0621553843 \tabularnewline
136 & 91413 & 106772.677103438 & -15359.6771034384 \tabularnewline
137 & 855 & 386.646251629011 & 468.353748370989 \tabularnewline
138 & 97068 & 59825.313246957 & 37242.686753043 \tabularnewline
139 & 44339 & 19691.302672603 & 24647.697327397 \tabularnewline
140 & 14116 & 17915.9936884127 & -3799.99368841269 \tabularnewline
141 & 10288 & 18522.9485273478 & -8234.94852734779 \tabularnewline
142 & 65622 & 56166.8514569554 & 9455.14854304461 \tabularnewline
143 & 16563 & 23472.7423522749 & -6909.74235227488 \tabularnewline
144 & 76643 & 90056.6316945107 & -13413.6316945107 \tabularnewline
145 & 110681 & 92539.3793399909 & 18141.6206600091 \tabularnewline
146 & 29011 & 28990.3459914993 & 20.6540085007009 \tabularnewline
147 & 92696 & 54572.7627972464 & 38123.2372027536 \tabularnewline
148 & 94785 & 55754.6688263783 & 39030.3311736217 \tabularnewline
149 & 8773 & 12514.6278744216 & -3741.62787442159 \tabularnewline
150 & 83209 & 72716.4717527432 & 10492.5282472568 \tabularnewline
151 & 93815 & 120624.082646014 & -26809.0826460136 \tabularnewline
152 & 86687 & 105017.012527662 & -18330.0125276619 \tabularnewline
153 & 34553 & 29102.1768137139 & 5450.82318628606 \tabularnewline
154 & 105547 & 126994.014078395 & -21447.0140783948 \tabularnewline
155 & 103487 & 95919.6103691746 & 7567.38963082543 \tabularnewline
156 & 213688 & 160495.970956061 & 53192.0290439388 \tabularnewline
157 & 71220 & 80607.3396139157 & -9387.33961391568 \tabularnewline
158 & 23517 & 31945.3662239656 & -8428.36622396556 \tabularnewline
159 & 56926 & 46407.6021833472 & 10518.3978166528 \tabularnewline
160 & 91721 & 84386.0229087054 & 7334.97709129456 \tabularnewline
161 & 115168 & 117652.484312883 & -2484.48431288315 \tabularnewline
162 & 111194 & 35605.0994932492 & 75588.9005067508 \tabularnewline
163 & 51009 & 49497.5891940944 & 1511.41080590563 \tabularnewline
164 & 135777 & 121535.880601208 & 14241.1193987916 \tabularnewline
165 & 51513 & 60963.2280031694 & -9450.22800316944 \tabularnewline
166 & 74163 & 104404.965032125 & -30241.9650321251 \tabularnewline
167 & 51633 & 76088.1186594151 & -24455.1186594151 \tabularnewline
168 & 75345 & 46586.4123367143 & 28758.5876632857 \tabularnewline
169 & 33416 & 49058.3379493007 & -15642.3379493007 \tabularnewline
170 & 83305 & 53364.0221528199 & 29940.9778471801 \tabularnewline
171 & 98952 & 76705.4765128497 & 22246.5234871503 \tabularnewline
172 & 102372 & 111028.447104933 & -8656.44710493348 \tabularnewline
173 & 37238 & 33505.9446581497 & 3732.05534185028 \tabularnewline
174 & 103772 & 113638.441298099 & -9866.44129809918 \tabularnewline
175 & 123969 & 86666.5770464947 & 37302.4229535053 \tabularnewline
176 & 27142 & 38607.4679184883 & -11465.4679184883 \tabularnewline
177 & 135400 & 100842.538822391 & 34557.4611776093 \tabularnewline
178 & 21399 & 31487.3120631661 & -10088.3120631661 \tabularnewline
179 & 130115 & 119572.993168117 & 10542.0068318832 \tabularnewline
180 & 24874 & 34941.3748029545 & -10067.3748029545 \tabularnewline
181 & 34988 & 20165.9596711611 & 14822.0403288389 \tabularnewline
182 & 45549 & 21583.9674586584 & 23965.0325413416 \tabularnewline
183 & 6023 & 3099.47114710921 & 2923.52885289079 \tabularnewline
184 & 64466 & 71311.0584959266 & -6845.05849592661 \tabularnewline
185 & 54990 & 93576.906228467 & -38586.906228467 \tabularnewline
186 & 1644 & 832.976178403822 & 811.023821596178 \tabularnewline
187 & 6179 & 9767.28719052418 & -3588.28719052418 \tabularnewline
188 & 3926 & 5001.31275339433 & -1075.31275339433 \tabularnewline
189 & 32755 & 45820.203659642 & -13065.203659642 \tabularnewline
190 & 34777 & 33312.3324772722 & 1464.66752272777 \tabularnewline
191 & 73224 & 57409.0747644945 & 15814.9252355055 \tabularnewline
192 & 27114 & 30654.4016916492 & -3540.40169164917 \tabularnewline
193 & 20760 & 30197.8706068172 & -9437.87060681716 \tabularnewline
194 & 37636 & 37512.9987111253 & 123.001288874659 \tabularnewline
195 & 65461 & 68060.6506883168 & -2599.65068831683 \tabularnewline
196 & 30080 & 43472.4069568038 & -13392.4069568038 \tabularnewline
197 & 24094 & 36766.8997988402 & -12672.8997988402 \tabularnewline
198 & 69008 & 35916.0330834857 & 33091.9669165143 \tabularnewline
199 & 54968 & 34242.4369783328 & 20725.5630216672 \tabularnewline
200 & 46090 & 43698.9388505397 & 2391.06114946035 \tabularnewline
201 & 27507 & 40145.3302018668 & -12638.3302018668 \tabularnewline
202 & 10672 & 28104.1462232642 & -17432.1462232642 \tabularnewline
203 & 34029 & 39915.1571131369 & -5886.15711313687 \tabularnewline
204 & 46300 & 45204.049598261 & 1095.95040173901 \tabularnewline
205 & 24760 & 35240.6549038271 & -10480.6549038271 \tabularnewline
206 & 18779 & 21429.8281811436 & -2650.82818114358 \tabularnewline
207 & 21280 & 34929.849778804 & -13649.849778804 \tabularnewline
208 & 40662 & 46873.6393175564 & -6211.63931755642 \tabularnewline
209 & 28987 & 41341.0107845008 & -12354.0107845007 \tabularnewline
210 & 22827 & 45382.0013935635 & -22555.0013935635 \tabularnewline
211 & 18513 & 24832.3307965138 & -6319.33079651378 \tabularnewline
212 & 30594 & 36044.1406071154 & -5450.14060711542 \tabularnewline
213 & 24006 & 31760.7664970201 & -7754.76649702008 \tabularnewline
214 & 27913 & 39518.0202359815 & -11605.0202359815 \tabularnewline
215 & 42744 & 26624.4956270167 & 16119.5043729833 \tabularnewline
216 & 12934 & 36539.2905022792 & -23605.2905022792 \tabularnewline
217 & 22574 & 25701.1140935334 & -3127.11409353336 \tabularnewline
218 & 41385 & 24719.7244591599 & 16665.2755408401 \tabularnewline
219 & 18653 & 28444.243713636 & -9791.24371363598 \tabularnewline
220 & 18472 & 27071.2057998067 & -8599.20579980675 \tabularnewline
221 & 30976 & 40383.4159503889 & -9407.4159503889 \tabularnewline
222 & 63339 & 55810.7535167473 & 7528.24648325266 \tabularnewline
223 & 25568 & 40969.9856913253 & -15401.9856913253 \tabularnewline
224 & 33747 & 39476.8617413407 & -5729.86174134069 \tabularnewline
225 & 4154 & 18299.9967762415 & -14145.9967762415 \tabularnewline
226 & 19474 & 32502.2479828325 & -13028.2479828324 \tabularnewline
227 & 35130 & 16285.8944791706 & 18844.1055208294 \tabularnewline
228 & 39067 & 43262.4447929 & -4195.44479290003 \tabularnewline
229 & 13310 & 25760.7981781737 & -12450.7981781737 \tabularnewline
230 & 65892 & 39526.1560256547 & 26365.8439743453 \tabularnewline
231 & 4143 & 18074.8985864944 & -13931.8985864944 \tabularnewline
232 & 28579 & 35550.7320369794 & -6971.73203697942 \tabularnewline
233 & 51776 & 34267.9448148464 & 17508.0551851536 \tabularnewline
234 & 21152 & 25056.381857658 & -3904.38185765804 \tabularnewline
235 & 38084 & 39022.7821109229 & -938.78211092293 \tabularnewline
236 & 27717 & 36207.4156570999 & -8490.41565709988 \tabularnewline
237 & 32928 & 36187.7908068661 & -3259.79080686607 \tabularnewline
238 & 11342 & 21465.0237483236 & -10123.0237483236 \tabularnewline
239 & 19499 & 31923.8855276219 & -12424.8855276219 \tabularnewline
240 & 16380 & 25762.6705782704 & -9382.67057827039 \tabularnewline
241 & 36874 & 30402.1609293511 & 6471.83907064889 \tabularnewline
242 & 48259 & 66325.506364638 & -18066.506364638 \tabularnewline
243 & 16734 & 28844.5355267935 & -12110.5355267935 \tabularnewline
244 & 28207 & 30452.2869006013 & -2245.2869006013 \tabularnewline
245 & 30143 & 32626.7295606728 & -2483.7295606728 \tabularnewline
246 & 41369 & 34764.5375874512 & 6604.46241254883 \tabularnewline
247 & 45833 & 38916.0396554009 & 6916.96034459906 \tabularnewline
248 & 29156 & 27881.8163457419 & 1274.18365425812 \tabularnewline
249 & 35944 & 23284.2969382946 & 12659.7030617054 \tabularnewline
250 & 36278 & 20560.8372971683 & 15717.1627028317 \tabularnewline
251 & 45588 & 47724.7119110236 & -2136.71191102356 \tabularnewline
252 & 45097 & 47227.2864759321 & -2130.28647593215 \tabularnewline
253 & 3895 & 4040.18869111597 & -145.188691115968 \tabularnewline
254 & 28394 & 35209.8686301132 & -6815.86863011324 \tabularnewline
255 & 18632 & 30477.2203680091 & -11845.2203680091 \tabularnewline
256 & 2325 & 4473.49106379814 & -2148.49106379814 \tabularnewline
257 & 25139 & 19978.2217315278 & 5160.77826847218 \tabularnewline
258 & 27975 & 29215.296805807 & -1240.29680580704 \tabularnewline
259 & 14483 & 25752.1547986466 & -11269.1547986466 \tabularnewline
260 & 13127 & 16488.0020171708 & -3361.00201717082 \tabularnewline
261 & 5839 & 10860.501105876 & -5021.50110587596 \tabularnewline
262 & 24069 & 41850.0213443054 & -17781.0213443054 \tabularnewline
263 & 3738 & 8350.91314933144 & -4612.91314933144 \tabularnewline
264 & 18625 & 30031.194608206 & -11406.194608206 \tabularnewline
265 & 36341 & 28918.9180086131 & 7422.08199138694 \tabularnewline
266 & 24548 & 29587.2109734466 & -5039.21097344656 \tabularnewline
267 & 21792 & 38360.143788627 & -16568.143788627 \tabularnewline
268 & 26263 & 21998.3869326223 & 4264.61306737768 \tabularnewline
269 & 23686 & 41823.9864070341 & -18137.9864070341 \tabularnewline
270 & 49303 & 39716.3814660927 & 9586.61853390728 \tabularnewline
271 & 25659 & 35830.5241682898 & -10171.5241682898 \tabularnewline
272 & 28904 & 31613.096802493 & -2709.09680249305 \tabularnewline
273 & 2781 & 862.208930302308 & 1918.79106969769 \tabularnewline
274 & 29236 & 35469.8015057951 & -6233.80150579507 \tabularnewline
275 & 19546 & 20554.1025866997 & -1008.10258669974 \tabularnewline
276 & 22818 & 21654.1277303298 & 1163.87226967022 \tabularnewline
277 & 32689 & 13590.9847314827 & 19098.0152685173 \tabularnewline
278 & 5752 & 6683.56592780113 & -931.565927801135 \tabularnewline
279 & 22197 & 35565.8018220704 & -13368.8018220704 \tabularnewline
280 & 20055 & 34995.9314299958 & -14940.9314299958 \tabularnewline
281 & 25272 & 34741.714447101 & -9469.714447101 \tabularnewline
282 & 82206 & 21422.6149691455 & 60783.3850308545 \tabularnewline
283 & 32073 & 20017.6274474299 & 12055.3725525701 \tabularnewline
284 & 5444 & 5504.07041891597 & -60.0704189159706 \tabularnewline
285 & 20154 & 27681.32598302 & -7527.32598302 \tabularnewline
286 & 36944 & 23235.9221034907 & 13708.0778965093 \tabularnewline
287 & 8019 & 19733.1102367904 & -11714.1102367904 \tabularnewline
288 & 30884 & 45514.3969365189 & -14630.3969365189 \tabularnewline
289 & 19540 & 27343.8884620283 & -7803.88846202833 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160490&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]112285[/C][C]100699.752148024[/C][C]11585.2478519761[/C][/ROW]
[ROW][C]2[/C][C]84786[/C][C]79659.8265882523[/C][C]5126.17341174768[/C][/ROW]
[ROW][C]3[/C][C]83123[/C][C]77666.9796030006[/C][C]5456.02039699945[/C][/ROW]
[ROW][C]4[/C][C]101193[/C][C]104721.605461502[/C][C]-3528.60546150178[/C][/ROW]
[ROW][C]5[/C][C]38361[/C][C]47039.2522167483[/C][C]-8678.25221674833[/C][/ROW]
[ROW][C]6[/C][C]68504[/C][C]45608.0171791363[/C][C]22895.9828208637[/C][/ROW]
[ROW][C]7[/C][C]119182[/C][C]110610.331478393[/C][C]8571.66852160693[/C][/ROW]
[ROW][C]8[/C][C]22807[/C][C]15480.7511874392[/C][C]7326.24881256076[/C][/ROW]
[ROW][C]9[/C][C]17140[/C][C]27008.9230560277[/C][C]-9868.92305602773[/C][/ROW]
[ROW][C]10[/C][C]116174[/C][C]85102.7933411067[/C][C]31071.2066588933[/C][/ROW]
[ROW][C]11[/C][C]57635[/C][C]65115.2037203857[/C][C]-7480.20372038573[/C][/ROW]
[ROW][C]12[/C][C]66198[/C][C]98798.9577469601[/C][C]-32600.9577469601[/C][/ROW]
[ROW][C]13[/C][C]71701[/C][C]91198.864942125[/C][C]-19497.864942125[/C][/ROW]
[ROW][C]14[/C][C]57793[/C][C]56599.1628254053[/C][C]1193.83717459474[/C][/ROW]
[ROW][C]15[/C][C]80444[/C][C]98933.016704792[/C][C]-18489.016704792[/C][/ROW]
[ROW][C]16[/C][C]53855[/C][C]62391.2462295993[/C][C]-8536.24622959933[/C][/ROW]
[ROW][C]17[/C][C]97668[/C][C]124332.06052413[/C][C]-26664.06052413[/C][/ROW]
[ROW][C]18[/C][C]133824[/C][C]108955.365664335[/C][C]24868.6343356653[/C][/ROW]
[ROW][C]19[/C][C]101481[/C][C]76352.3794783824[/C][C]25128.6205216176[/C][/ROW]
[ROW][C]20[/C][C]99645[/C][C]82791.6396997782[/C][C]16853.3603002218[/C][/ROW]
[ROW][C]21[/C][C]114789[/C][C]93972.7173539542[/C][C]20816.2826460458[/C][/ROW]
[ROW][C]22[/C][C]99052[/C][C]116897.443907878[/C][C]-17845.4439078779[/C][/ROW]
[ROW][C]23[/C][C]67654[/C][C]89639.9005576126[/C][C]-21985.9005576126[/C][/ROW]
[ROW][C]24[/C][C]65553[/C][C]66721.6614231816[/C][C]-1168.66142318159[/C][/ROW]
[ROW][C]25[/C][C]97500[/C][C]91476.5775274799[/C][C]6023.42247252008[/C][/ROW]
[ROW][C]26[/C][C]69112[/C][C]98694.8883979714[/C][C]-29582.8883979714[/C][/ROW]
[ROW][C]27[/C][C]82753[/C][C]88958.4486505028[/C][C]-6205.44865050277[/C][/ROW]
[ROW][C]28[/C][C]85323[/C][C]82138.0357469632[/C][C]3184.96425303681[/C][/ROW]
[ROW][C]29[/C][C]72654[/C][C]98038.4139926296[/C][C]-25384.4139926296[/C][/ROW]
[ROW][C]30[/C][C]30727[/C][C]49178.2432248425[/C][C]-18451.2432248426[/C][/ROW]
[ROW][C]31[/C][C]77873[/C][C]83831.5289838642[/C][C]-5958.52898386425[/C][/ROW]
[ROW][C]32[/C][C]117478[/C][C]120540.155514866[/C][C]-3062.15551486621[/C][/ROW]
[ROW][C]33[/C][C]74007[/C][C]82500.8367936165[/C][C]-8493.83679361646[/C][/ROW]
[ROW][C]34[/C][C]90183[/C][C]118730.445315102[/C][C]-28547.4453151016[/C][/ROW]
[ROW][C]35[/C][C]61542[/C][C]43723.875364085[/C][C]17818.124635915[/C][/ROW]
[ROW][C]36[/C][C]101494[/C][C]123878.064923496[/C][C]-22384.0649234956[/C][/ROW]
[ROW][C]37[/C][C]27570[/C][C]33369.8498619026[/C][C]-5799.84986190256[/C][/ROW]
[ROW][C]38[/C][C]55813[/C][C]55296.5308587851[/C][C]516.469141214909[/C][/ROW]
[ROW][C]39[/C][C]79215[/C][C]101581.654092165[/C][C]-22366.6540921648[/C][/ROW]
[ROW][C]40[/C][C]1423[/C][C]-223.929296982809[/C][C]1646.92929698281[/C][/ROW]
[ROW][C]41[/C][C]55461[/C][C]69098.8634752691[/C][C]-13637.8634752691[/C][/ROW]
[ROW][C]42[/C][C]31081[/C][C]41776.8888216416[/C][C]-10695.8888216416[/C][/ROW]
[ROW][C]43[/C][C]22996[/C][C]36013.1519391607[/C][C]-13017.1519391607[/C][/ROW]
[ROW][C]44[/C][C]83122[/C][C]105456.668554545[/C][C]-22334.6685545448[/C][/ROW]
[ROW][C]45[/C][C]70106[/C][C]86212.2101849966[/C][C]-16106.2101849966[/C][/ROW]
[ROW][C]46[/C][C]60578[/C][C]71967.8680117142[/C][C]-11389.8680117142[/C][/ROW]
[ROW][C]47[/C][C]39992[/C][C]57760.6184201507[/C][C]-17768.6184201507[/C][/ROW]
[ROW][C]48[/C][C]79892[/C][C]77113.4108645691[/C][C]2778.58913543087[/C][/ROW]
[ROW][C]49[/C][C]49810[/C][C]56959.2657255485[/C][C]-7149.26572554848[/C][/ROW]
[ROW][C]50[/C][C]71570[/C][C]41124.6494435905[/C][C]30445.3505564095[/C][/ROW]
[ROW][C]51[/C][C]100708[/C][C]76050.0022675752[/C][C]24657.9977324249[/C][/ROW]
[ROW][C]52[/C][C]33032[/C][C]40048.6828948779[/C][C]-7016.68289487794[/C][/ROW]
[ROW][C]53[/C][C]82875[/C][C]97466.0447257266[/C][C]-14591.0447257266[/C][/ROW]
[ROW][C]54[/C][C]139077[/C][C]103549.788232537[/C][C]35527.2117674631[/C][/ROW]
[ROW][C]55[/C][C]71595[/C][C]86495.1709454897[/C][C]-14900.1709454897[/C][/ROW]
[ROW][C]56[/C][C]72260[/C][C]85157.0636956789[/C][C]-12897.0636956789[/C][/ROW]
[ROW][C]57[/C][C]5950[/C][C]7087.03528444037[/C][C]-1137.03528444037[/C][/ROW]
[ROW][C]58[/C][C]115762[/C][C]103522.782709314[/C][C]12239.2172906858[/C][/ROW]
[ROW][C]59[/C][C]32551[/C][C]28847.5886691658[/C][C]3703.4113308342[/C][/ROW]
[ROW][C]60[/C][C]31701[/C][C]29521.824660411[/C][C]2179.17533958896[/C][/ROW]
[ROW][C]61[/C][C]80670[/C][C]91763.7092014169[/C][C]-11093.7092014169[/C][/ROW]
[ROW][C]62[/C][C]143558[/C][C]124704.015330647[/C][C]18853.9846693534[/C][/ROW]
[ROW][C]63[/C][C]117105[/C][C]81907.5746324215[/C][C]35197.4253675785[/C][/ROW]
[ROW][C]64[/C][C]23789[/C][C]33357.0249707487[/C][C]-9568.0249707487[/C][/ROW]
[ROW][C]65[/C][C]120733[/C][C]130841.894633964[/C][C]-10108.8946339641[/C][/ROW]
[ROW][C]66[/C][C]105195[/C][C]126874.900378812[/C][C]-21679.9003788115[/C][/ROW]
[ROW][C]67[/C][C]73107[/C][C]72406.553721273[/C][C]700.446278726974[/C][/ROW]
[ROW][C]68[/C][C]132068[/C][C]111695.229389955[/C][C]20372.7706100453[/C][/ROW]
[ROW][C]69[/C][C]149193[/C][C]126280.56616784[/C][C]22912.4338321598[/C][/ROW]
[ROW][C]70[/C][C]46821[/C][C]58600.223965841[/C][C]-11779.223965841[/C][/ROW]
[ROW][C]71[/C][C]87011[/C][C]89316.0051259143[/C][C]-2305.00512591427[/C][/ROW]
[ROW][C]72[/C][C]95260[/C][C]100922.144217916[/C][C]-5662.14421791629[/C][/ROW]
[ROW][C]73[/C][C]55183[/C][C]74925.9988191775[/C][C]-19742.9988191775[/C][/ROW]
[ROW][C]74[/C][C]106671[/C][C]78522.9260618311[/C][C]28148.0739381689[/C][/ROW]
[ROW][C]75[/C][C]73511[/C][C]92701.4846576082[/C][C]-19190.4846576082[/C][/ROW]
[ROW][C]76[/C][C]92945[/C][C]85086.4437715235[/C][C]7858.55622847653[/C][/ROW]
[ROW][C]77[/C][C]78664[/C][C]64204.1630221425[/C][C]14459.8369778575[/C][/ROW]
[ROW][C]78[/C][C]70054[/C][C]83853.7014260505[/C][C]-13799.7014260505[/C][/ROW]
[ROW][C]79[/C][C]22618[/C][C]31720.1554415895[/C][C]-9102.1554415895[/C][/ROW]
[ROW][C]80[/C][C]74011[/C][C]90040.9280539328[/C][C]-16029.9280539328[/C][/ROW]
[ROW][C]81[/C][C]83737[/C][C]81225.3534596497[/C][C]2511.64654035025[/C][/ROW]
[ROW][C]82[/C][C]69094[/C][C]87329.9656673556[/C][C]-18235.9656673556[/C][/ROW]
[ROW][C]83[/C][C]93133[/C][C]98840.6963299267[/C][C]-5707.69632992669[/C][/ROW]
[ROW][C]84[/C][C]95536[/C][C]95959.5539740132[/C][C]-423.553974013207[/C][/ROW]
[ROW][C]85[/C][C]225920[/C][C]68122.2651242918[/C][C]157797.734875708[/C][/ROW]
[ROW][C]86[/C][C]62133[/C][C]75331.9385171412[/C][C]-13198.9385171412[/C][/ROW]
[ROW][C]87[/C][C]61370[/C][C]71209.566565008[/C][C]-9839.56656500796[/C][/ROW]
[ROW][C]88[/C][C]43836[/C][C]51432.5630854158[/C][C]-7596.56308541582[/C][/ROW]
[ROW][C]89[/C][C]106117[/C][C]104900.644630353[/C][C]1216.35536964747[/C][/ROW]
[ROW][C]90[/C][C]38692[/C][C]52572.3329260026[/C][C]-13880.3329260026[/C][/ROW]
[ROW][C]91[/C][C]84651[/C][C]91290.9309014629[/C][C]-6639.93090146286[/C][/ROW]
[ROW][C]92[/C][C]56622[/C][C]31052.8278279729[/C][C]25569.1721720271[/C][/ROW]
[ROW][C]93[/C][C]15986[/C][C]36198.1742844183[/C][C]-20212.1742844183[/C][/ROW]
[ROW][C]94[/C][C]95364[/C][C]96673.3110289872[/C][C]-1309.31102898724[/C][/ROW]
[ROW][C]95[/C][C]26706[/C][C]44859.7148736535[/C][C]-18153.7148736535[/C][/ROW]
[ROW][C]96[/C][C]89691[/C][C]76605.5640105161[/C][C]13085.4359894839[/C][/ROW]
[ROW][C]97[/C][C]67267[/C][C]93590.5239204439[/C][C]-26323.5239204439[/C][/ROW]
[ROW][C]98[/C][C]126846[/C][C]114493.552356314[/C][C]12352.4476436862[/C][/ROW]
[ROW][C]99[/C][C]41140[/C][C]61198.3833636573[/C][C]-20058.3833636573[/C][/ROW]
[ROW][C]100[/C][C]102860[/C][C]102670.071143059[/C][C]189.928856940544[/C][/ROW]
[ROW][C]101[/C][C]51715[/C][C]50567.3656998114[/C][C]1147.63430018857[/C][/ROW]
[ROW][C]102[/C][C]55801[/C][C]78431.4605942084[/C][C]-22630.4605942084[/C][/ROW]
[ROW][C]103[/C][C]111813[/C][C]107321.605086855[/C][C]4491.39491314504[/C][/ROW]
[ROW][C]104[/C][C]120293[/C][C]90835.4718426803[/C][C]29457.5281573197[/C][/ROW]
[ROW][C]105[/C][C]138599[/C][C]108040.741162976[/C][C]30558.2588370241[/C][/ROW]
[ROW][C]106[/C][C]161647[/C][C]124205.451576798[/C][C]37441.5484232021[/C][/ROW]
[ROW][C]107[/C][C]115929[/C][C]131249.709863983[/C][C]-15320.7098639828[/C][/ROW]
[ROW][C]108[/C][C]24266[/C][C]34485.0325104035[/C][C]-10219.0325104035[/C][/ROW]
[ROW][C]109[/C][C]162901[/C][C]140678.051028498[/C][C]22222.9489715023[/C][/ROW]
[ROW][C]110[/C][C]109825[/C][C]111367.80160553[/C][C]-1542.80160552979[/C][/ROW]
[ROW][C]111[/C][C]129838[/C][C]112411.93239094[/C][C]17426.0676090605[/C][/ROW]
[ROW][C]112[/C][C]37510[/C][C]49097.6845066673[/C][C]-11587.6845066673[/C][/ROW]
[ROW][C]113[/C][C]43750[/C][C]39790.7746989199[/C][C]3959.22530108006[/C][/ROW]
[ROW][C]114[/C][C]40652[/C][C]53677.7162511708[/C][C]-13025.7162511708[/C][/ROW]
[ROW][C]115[/C][C]87771[/C][C]115725.747628057[/C][C]-27954.7476280569[/C][/ROW]
[ROW][C]116[/C][C]85872[/C][C]100001.686400181[/C][C]-14129.6864001808[/C][/ROW]
[ROW][C]117[/C][C]89275[/C][C]95799.3124177787[/C][C]-6524.31241777865[/C][/ROW]
[ROW][C]118[/C][C]44418[/C][C]54842.3795290197[/C][C]-10424.3795290197[/C][/ROW]
[ROW][C]119[/C][C]192565[/C][C]67642.7610601652[/C][C]124922.238939835[/C][/ROW]
[ROW][C]120[/C][C]35232[/C][C]32076.9013727687[/C][C]3155.0986272313[/C][/ROW]
[ROW][C]121[/C][C]40909[/C][C]58305.1404626706[/C][C]-17396.1404626706[/C][/ROW]
[ROW][C]122[/C][C]13294[/C][C]21833.5447273719[/C][C]-8539.5447273719[/C][/ROW]
[ROW][C]123[/C][C]32387[/C][C]46339.6020589256[/C][C]-13952.6020589256[/C][/ROW]
[ROW][C]124[/C][C]140867[/C][C]52245.3399705776[/C][C]88621.6600294224[/C][/ROW]
[ROW][C]125[/C][C]120662[/C][C]91419.8583582527[/C][C]29242.1416417473[/C][/ROW]
[ROW][C]126[/C][C]21233[/C][C]23691.7377242949[/C][C]-2458.73772429492[/C][/ROW]
[ROW][C]127[/C][C]44332[/C][C]29220.5881780875[/C][C]15111.4118219125[/C][/ROW]
[ROW][C]128[/C][C]61056[/C][C]68732.0569716651[/C][C]-7676.05697166507[/C][/ROW]
[ROW][C]129[/C][C]101338[/C][C]100972.181585367[/C][C]365.818414633431[/C][/ROW]
[ROW][C]130[/C][C]1168[/C][C]2173.11389925299[/C][C]-1005.11389925299[/C][/ROW]
[ROW][C]131[/C][C]13497[/C][C]9239.93496691668[/C][C]4257.06503308332[/C][/ROW]
[ROW][C]132[/C][C]65567[/C][C]83702.9103802596[/C][C]-18135.9103802596[/C][/ROW]
[ROW][C]133[/C][C]25162[/C][C]22269.6974761261[/C][C]2892.30252387386[/C][/ROW]
[ROW][C]134[/C][C]32334[/C][C]50155.8092314439[/C][C]-17821.8092314439[/C][/ROW]
[ROW][C]135[/C][C]40735[/C][C]64695.0621553843[/C][C]-23960.0621553843[/C][/ROW]
[ROW][C]136[/C][C]91413[/C][C]106772.677103438[/C][C]-15359.6771034384[/C][/ROW]
[ROW][C]137[/C][C]855[/C][C]386.646251629011[/C][C]468.353748370989[/C][/ROW]
[ROW][C]138[/C][C]97068[/C][C]59825.313246957[/C][C]37242.686753043[/C][/ROW]
[ROW][C]139[/C][C]44339[/C][C]19691.302672603[/C][C]24647.697327397[/C][/ROW]
[ROW][C]140[/C][C]14116[/C][C]17915.9936884127[/C][C]-3799.99368841269[/C][/ROW]
[ROW][C]141[/C][C]10288[/C][C]18522.9485273478[/C][C]-8234.94852734779[/C][/ROW]
[ROW][C]142[/C][C]65622[/C][C]56166.8514569554[/C][C]9455.14854304461[/C][/ROW]
[ROW][C]143[/C][C]16563[/C][C]23472.7423522749[/C][C]-6909.74235227488[/C][/ROW]
[ROW][C]144[/C][C]76643[/C][C]90056.6316945107[/C][C]-13413.6316945107[/C][/ROW]
[ROW][C]145[/C][C]110681[/C][C]92539.3793399909[/C][C]18141.6206600091[/C][/ROW]
[ROW][C]146[/C][C]29011[/C][C]28990.3459914993[/C][C]20.6540085007009[/C][/ROW]
[ROW][C]147[/C][C]92696[/C][C]54572.7627972464[/C][C]38123.2372027536[/C][/ROW]
[ROW][C]148[/C][C]94785[/C][C]55754.6688263783[/C][C]39030.3311736217[/C][/ROW]
[ROW][C]149[/C][C]8773[/C][C]12514.6278744216[/C][C]-3741.62787442159[/C][/ROW]
[ROW][C]150[/C][C]83209[/C][C]72716.4717527432[/C][C]10492.5282472568[/C][/ROW]
[ROW][C]151[/C][C]93815[/C][C]120624.082646014[/C][C]-26809.0826460136[/C][/ROW]
[ROW][C]152[/C][C]86687[/C][C]105017.012527662[/C][C]-18330.0125276619[/C][/ROW]
[ROW][C]153[/C][C]34553[/C][C]29102.1768137139[/C][C]5450.82318628606[/C][/ROW]
[ROW][C]154[/C][C]105547[/C][C]126994.014078395[/C][C]-21447.0140783948[/C][/ROW]
[ROW][C]155[/C][C]103487[/C][C]95919.6103691746[/C][C]7567.38963082543[/C][/ROW]
[ROW][C]156[/C][C]213688[/C][C]160495.970956061[/C][C]53192.0290439388[/C][/ROW]
[ROW][C]157[/C][C]71220[/C][C]80607.3396139157[/C][C]-9387.33961391568[/C][/ROW]
[ROW][C]158[/C][C]23517[/C][C]31945.3662239656[/C][C]-8428.36622396556[/C][/ROW]
[ROW][C]159[/C][C]56926[/C][C]46407.6021833472[/C][C]10518.3978166528[/C][/ROW]
[ROW][C]160[/C][C]91721[/C][C]84386.0229087054[/C][C]7334.97709129456[/C][/ROW]
[ROW][C]161[/C][C]115168[/C][C]117652.484312883[/C][C]-2484.48431288315[/C][/ROW]
[ROW][C]162[/C][C]111194[/C][C]35605.0994932492[/C][C]75588.9005067508[/C][/ROW]
[ROW][C]163[/C][C]51009[/C][C]49497.5891940944[/C][C]1511.41080590563[/C][/ROW]
[ROW][C]164[/C][C]135777[/C][C]121535.880601208[/C][C]14241.1193987916[/C][/ROW]
[ROW][C]165[/C][C]51513[/C][C]60963.2280031694[/C][C]-9450.22800316944[/C][/ROW]
[ROW][C]166[/C][C]74163[/C][C]104404.965032125[/C][C]-30241.9650321251[/C][/ROW]
[ROW][C]167[/C][C]51633[/C][C]76088.1186594151[/C][C]-24455.1186594151[/C][/ROW]
[ROW][C]168[/C][C]75345[/C][C]46586.4123367143[/C][C]28758.5876632857[/C][/ROW]
[ROW][C]169[/C][C]33416[/C][C]49058.3379493007[/C][C]-15642.3379493007[/C][/ROW]
[ROW][C]170[/C][C]83305[/C][C]53364.0221528199[/C][C]29940.9778471801[/C][/ROW]
[ROW][C]171[/C][C]98952[/C][C]76705.4765128497[/C][C]22246.5234871503[/C][/ROW]
[ROW][C]172[/C][C]102372[/C][C]111028.447104933[/C][C]-8656.44710493348[/C][/ROW]
[ROW][C]173[/C][C]37238[/C][C]33505.9446581497[/C][C]3732.05534185028[/C][/ROW]
[ROW][C]174[/C][C]103772[/C][C]113638.441298099[/C][C]-9866.44129809918[/C][/ROW]
[ROW][C]175[/C][C]123969[/C][C]86666.5770464947[/C][C]37302.4229535053[/C][/ROW]
[ROW][C]176[/C][C]27142[/C][C]38607.4679184883[/C][C]-11465.4679184883[/C][/ROW]
[ROW][C]177[/C][C]135400[/C][C]100842.538822391[/C][C]34557.4611776093[/C][/ROW]
[ROW][C]178[/C][C]21399[/C][C]31487.3120631661[/C][C]-10088.3120631661[/C][/ROW]
[ROW][C]179[/C][C]130115[/C][C]119572.993168117[/C][C]10542.0068318832[/C][/ROW]
[ROW][C]180[/C][C]24874[/C][C]34941.3748029545[/C][C]-10067.3748029545[/C][/ROW]
[ROW][C]181[/C][C]34988[/C][C]20165.9596711611[/C][C]14822.0403288389[/C][/ROW]
[ROW][C]182[/C][C]45549[/C][C]21583.9674586584[/C][C]23965.0325413416[/C][/ROW]
[ROW][C]183[/C][C]6023[/C][C]3099.47114710921[/C][C]2923.52885289079[/C][/ROW]
[ROW][C]184[/C][C]64466[/C][C]71311.0584959266[/C][C]-6845.05849592661[/C][/ROW]
[ROW][C]185[/C][C]54990[/C][C]93576.906228467[/C][C]-38586.906228467[/C][/ROW]
[ROW][C]186[/C][C]1644[/C][C]832.976178403822[/C][C]811.023821596178[/C][/ROW]
[ROW][C]187[/C][C]6179[/C][C]9767.28719052418[/C][C]-3588.28719052418[/C][/ROW]
[ROW][C]188[/C][C]3926[/C][C]5001.31275339433[/C][C]-1075.31275339433[/C][/ROW]
[ROW][C]189[/C][C]32755[/C][C]45820.203659642[/C][C]-13065.203659642[/C][/ROW]
[ROW][C]190[/C][C]34777[/C][C]33312.3324772722[/C][C]1464.66752272777[/C][/ROW]
[ROW][C]191[/C][C]73224[/C][C]57409.0747644945[/C][C]15814.9252355055[/C][/ROW]
[ROW][C]192[/C][C]27114[/C][C]30654.4016916492[/C][C]-3540.40169164917[/C][/ROW]
[ROW][C]193[/C][C]20760[/C][C]30197.8706068172[/C][C]-9437.87060681716[/C][/ROW]
[ROW][C]194[/C][C]37636[/C][C]37512.9987111253[/C][C]123.001288874659[/C][/ROW]
[ROW][C]195[/C][C]65461[/C][C]68060.6506883168[/C][C]-2599.65068831683[/C][/ROW]
[ROW][C]196[/C][C]30080[/C][C]43472.4069568038[/C][C]-13392.4069568038[/C][/ROW]
[ROW][C]197[/C][C]24094[/C][C]36766.8997988402[/C][C]-12672.8997988402[/C][/ROW]
[ROW][C]198[/C][C]69008[/C][C]35916.0330834857[/C][C]33091.9669165143[/C][/ROW]
[ROW][C]199[/C][C]54968[/C][C]34242.4369783328[/C][C]20725.5630216672[/C][/ROW]
[ROW][C]200[/C][C]46090[/C][C]43698.9388505397[/C][C]2391.06114946035[/C][/ROW]
[ROW][C]201[/C][C]27507[/C][C]40145.3302018668[/C][C]-12638.3302018668[/C][/ROW]
[ROW][C]202[/C][C]10672[/C][C]28104.1462232642[/C][C]-17432.1462232642[/C][/ROW]
[ROW][C]203[/C][C]34029[/C][C]39915.1571131369[/C][C]-5886.15711313687[/C][/ROW]
[ROW][C]204[/C][C]46300[/C][C]45204.049598261[/C][C]1095.95040173901[/C][/ROW]
[ROW][C]205[/C][C]24760[/C][C]35240.6549038271[/C][C]-10480.6549038271[/C][/ROW]
[ROW][C]206[/C][C]18779[/C][C]21429.8281811436[/C][C]-2650.82818114358[/C][/ROW]
[ROW][C]207[/C][C]21280[/C][C]34929.849778804[/C][C]-13649.849778804[/C][/ROW]
[ROW][C]208[/C][C]40662[/C][C]46873.6393175564[/C][C]-6211.63931755642[/C][/ROW]
[ROW][C]209[/C][C]28987[/C][C]41341.0107845008[/C][C]-12354.0107845007[/C][/ROW]
[ROW][C]210[/C][C]22827[/C][C]45382.0013935635[/C][C]-22555.0013935635[/C][/ROW]
[ROW][C]211[/C][C]18513[/C][C]24832.3307965138[/C][C]-6319.33079651378[/C][/ROW]
[ROW][C]212[/C][C]30594[/C][C]36044.1406071154[/C][C]-5450.14060711542[/C][/ROW]
[ROW][C]213[/C][C]24006[/C][C]31760.7664970201[/C][C]-7754.76649702008[/C][/ROW]
[ROW][C]214[/C][C]27913[/C][C]39518.0202359815[/C][C]-11605.0202359815[/C][/ROW]
[ROW][C]215[/C][C]42744[/C][C]26624.4956270167[/C][C]16119.5043729833[/C][/ROW]
[ROW][C]216[/C][C]12934[/C][C]36539.2905022792[/C][C]-23605.2905022792[/C][/ROW]
[ROW][C]217[/C][C]22574[/C][C]25701.1140935334[/C][C]-3127.11409353336[/C][/ROW]
[ROW][C]218[/C][C]41385[/C][C]24719.7244591599[/C][C]16665.2755408401[/C][/ROW]
[ROW][C]219[/C][C]18653[/C][C]28444.243713636[/C][C]-9791.24371363598[/C][/ROW]
[ROW][C]220[/C][C]18472[/C][C]27071.2057998067[/C][C]-8599.20579980675[/C][/ROW]
[ROW][C]221[/C][C]30976[/C][C]40383.4159503889[/C][C]-9407.4159503889[/C][/ROW]
[ROW][C]222[/C][C]63339[/C][C]55810.7535167473[/C][C]7528.24648325266[/C][/ROW]
[ROW][C]223[/C][C]25568[/C][C]40969.9856913253[/C][C]-15401.9856913253[/C][/ROW]
[ROW][C]224[/C][C]33747[/C][C]39476.8617413407[/C][C]-5729.86174134069[/C][/ROW]
[ROW][C]225[/C][C]4154[/C][C]18299.9967762415[/C][C]-14145.9967762415[/C][/ROW]
[ROW][C]226[/C][C]19474[/C][C]32502.2479828325[/C][C]-13028.2479828324[/C][/ROW]
[ROW][C]227[/C][C]35130[/C][C]16285.8944791706[/C][C]18844.1055208294[/C][/ROW]
[ROW][C]228[/C][C]39067[/C][C]43262.4447929[/C][C]-4195.44479290003[/C][/ROW]
[ROW][C]229[/C][C]13310[/C][C]25760.7981781737[/C][C]-12450.7981781737[/C][/ROW]
[ROW][C]230[/C][C]65892[/C][C]39526.1560256547[/C][C]26365.8439743453[/C][/ROW]
[ROW][C]231[/C][C]4143[/C][C]18074.8985864944[/C][C]-13931.8985864944[/C][/ROW]
[ROW][C]232[/C][C]28579[/C][C]35550.7320369794[/C][C]-6971.73203697942[/C][/ROW]
[ROW][C]233[/C][C]51776[/C][C]34267.9448148464[/C][C]17508.0551851536[/C][/ROW]
[ROW][C]234[/C][C]21152[/C][C]25056.381857658[/C][C]-3904.38185765804[/C][/ROW]
[ROW][C]235[/C][C]38084[/C][C]39022.7821109229[/C][C]-938.78211092293[/C][/ROW]
[ROW][C]236[/C][C]27717[/C][C]36207.4156570999[/C][C]-8490.41565709988[/C][/ROW]
[ROW][C]237[/C][C]32928[/C][C]36187.7908068661[/C][C]-3259.79080686607[/C][/ROW]
[ROW][C]238[/C][C]11342[/C][C]21465.0237483236[/C][C]-10123.0237483236[/C][/ROW]
[ROW][C]239[/C][C]19499[/C][C]31923.8855276219[/C][C]-12424.8855276219[/C][/ROW]
[ROW][C]240[/C][C]16380[/C][C]25762.6705782704[/C][C]-9382.67057827039[/C][/ROW]
[ROW][C]241[/C][C]36874[/C][C]30402.1609293511[/C][C]6471.83907064889[/C][/ROW]
[ROW][C]242[/C][C]48259[/C][C]66325.506364638[/C][C]-18066.506364638[/C][/ROW]
[ROW][C]243[/C][C]16734[/C][C]28844.5355267935[/C][C]-12110.5355267935[/C][/ROW]
[ROW][C]244[/C][C]28207[/C][C]30452.2869006013[/C][C]-2245.2869006013[/C][/ROW]
[ROW][C]245[/C][C]30143[/C][C]32626.7295606728[/C][C]-2483.7295606728[/C][/ROW]
[ROW][C]246[/C][C]41369[/C][C]34764.5375874512[/C][C]6604.46241254883[/C][/ROW]
[ROW][C]247[/C][C]45833[/C][C]38916.0396554009[/C][C]6916.96034459906[/C][/ROW]
[ROW][C]248[/C][C]29156[/C][C]27881.8163457419[/C][C]1274.18365425812[/C][/ROW]
[ROW][C]249[/C][C]35944[/C][C]23284.2969382946[/C][C]12659.7030617054[/C][/ROW]
[ROW][C]250[/C][C]36278[/C][C]20560.8372971683[/C][C]15717.1627028317[/C][/ROW]
[ROW][C]251[/C][C]45588[/C][C]47724.7119110236[/C][C]-2136.71191102356[/C][/ROW]
[ROW][C]252[/C][C]45097[/C][C]47227.2864759321[/C][C]-2130.28647593215[/C][/ROW]
[ROW][C]253[/C][C]3895[/C][C]4040.18869111597[/C][C]-145.188691115968[/C][/ROW]
[ROW][C]254[/C][C]28394[/C][C]35209.8686301132[/C][C]-6815.86863011324[/C][/ROW]
[ROW][C]255[/C][C]18632[/C][C]30477.2203680091[/C][C]-11845.2203680091[/C][/ROW]
[ROW][C]256[/C][C]2325[/C][C]4473.49106379814[/C][C]-2148.49106379814[/C][/ROW]
[ROW][C]257[/C][C]25139[/C][C]19978.2217315278[/C][C]5160.77826847218[/C][/ROW]
[ROW][C]258[/C][C]27975[/C][C]29215.296805807[/C][C]-1240.29680580704[/C][/ROW]
[ROW][C]259[/C][C]14483[/C][C]25752.1547986466[/C][C]-11269.1547986466[/C][/ROW]
[ROW][C]260[/C][C]13127[/C][C]16488.0020171708[/C][C]-3361.00201717082[/C][/ROW]
[ROW][C]261[/C][C]5839[/C][C]10860.501105876[/C][C]-5021.50110587596[/C][/ROW]
[ROW][C]262[/C][C]24069[/C][C]41850.0213443054[/C][C]-17781.0213443054[/C][/ROW]
[ROW][C]263[/C][C]3738[/C][C]8350.91314933144[/C][C]-4612.91314933144[/C][/ROW]
[ROW][C]264[/C][C]18625[/C][C]30031.194608206[/C][C]-11406.194608206[/C][/ROW]
[ROW][C]265[/C][C]36341[/C][C]28918.9180086131[/C][C]7422.08199138694[/C][/ROW]
[ROW][C]266[/C][C]24548[/C][C]29587.2109734466[/C][C]-5039.21097344656[/C][/ROW]
[ROW][C]267[/C][C]21792[/C][C]38360.143788627[/C][C]-16568.143788627[/C][/ROW]
[ROW][C]268[/C][C]26263[/C][C]21998.3869326223[/C][C]4264.61306737768[/C][/ROW]
[ROW][C]269[/C][C]23686[/C][C]41823.9864070341[/C][C]-18137.9864070341[/C][/ROW]
[ROW][C]270[/C][C]49303[/C][C]39716.3814660927[/C][C]9586.61853390728[/C][/ROW]
[ROW][C]271[/C][C]25659[/C][C]35830.5241682898[/C][C]-10171.5241682898[/C][/ROW]
[ROW][C]272[/C][C]28904[/C][C]31613.096802493[/C][C]-2709.09680249305[/C][/ROW]
[ROW][C]273[/C][C]2781[/C][C]862.208930302308[/C][C]1918.79106969769[/C][/ROW]
[ROW][C]274[/C][C]29236[/C][C]35469.8015057951[/C][C]-6233.80150579507[/C][/ROW]
[ROW][C]275[/C][C]19546[/C][C]20554.1025866997[/C][C]-1008.10258669974[/C][/ROW]
[ROW][C]276[/C][C]22818[/C][C]21654.1277303298[/C][C]1163.87226967022[/C][/ROW]
[ROW][C]277[/C][C]32689[/C][C]13590.9847314827[/C][C]19098.0152685173[/C][/ROW]
[ROW][C]278[/C][C]5752[/C][C]6683.56592780113[/C][C]-931.565927801135[/C][/ROW]
[ROW][C]279[/C][C]22197[/C][C]35565.8018220704[/C][C]-13368.8018220704[/C][/ROW]
[ROW][C]280[/C][C]20055[/C][C]34995.9314299958[/C][C]-14940.9314299958[/C][/ROW]
[ROW][C]281[/C][C]25272[/C][C]34741.714447101[/C][C]-9469.714447101[/C][/ROW]
[ROW][C]282[/C][C]82206[/C][C]21422.6149691455[/C][C]60783.3850308545[/C][/ROW]
[ROW][C]283[/C][C]32073[/C][C]20017.6274474299[/C][C]12055.3725525701[/C][/ROW]
[ROW][C]284[/C][C]5444[/C][C]5504.07041891597[/C][C]-60.0704189159706[/C][/ROW]
[ROW][C]285[/C][C]20154[/C][C]27681.32598302[/C][C]-7527.32598302[/C][/ROW]
[ROW][C]286[/C][C]36944[/C][C]23235.9221034907[/C][C]13708.0778965093[/C][/ROW]
[ROW][C]287[/C][C]8019[/C][C]19733.1102367904[/C][C]-11714.1102367904[/C][/ROW]
[ROW][C]288[/C][C]30884[/C][C]45514.3969365189[/C][C]-14630.3969365189[/C][/ROW]
[ROW][C]289[/C][C]19540[/C][C]27343.8884620283[/C][C]-7803.88846202833[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160490&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160490&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1112285100699.75214802411585.2478519761
28478679659.82658825235126.17341174768
38312377666.97960300065456.02039699945
4101193104721.605461502-3528.60546150178
53836147039.2522167483-8678.25221674833
66850445608.017179136322895.9828208637
7119182110610.3314783938571.66852160693
82280715480.75118743927326.24881256076
91714027008.9230560277-9868.92305602773
1011617485102.793341106731071.2066588933
115763565115.2037203857-7480.20372038573
126619898798.9577469601-32600.9577469601
137170191198.864942125-19497.864942125
145779356599.16282540531193.83717459474
158044498933.016704792-18489.016704792
165385562391.2462295993-8536.24622959933
1797668124332.06052413-26664.06052413
18133824108955.36566433524868.6343356653
1910148176352.379478382425128.6205216176
209964582791.639699778216853.3603002218
2111478993972.717353954220816.2826460458
2299052116897.443907878-17845.4439078779
236765489639.9005576126-21985.9005576126
246555366721.6614231816-1168.66142318159
259750091476.57752747996023.42247252008
266911298694.8883979714-29582.8883979714
278275388958.4486505028-6205.44865050277
288532382138.03574696323184.96425303681
297265498038.4139926296-25384.4139926296
303072749178.2432248425-18451.2432248426
317787383831.5289838642-5958.52898386425
32117478120540.155514866-3062.15551486621
337400782500.8367936165-8493.83679361646
3490183118730.445315102-28547.4453151016
356154243723.87536408517818.124635915
36101494123878.064923496-22384.0649234956
372757033369.8498619026-5799.84986190256
385581355296.5308587851516.469141214909
3979215101581.654092165-22366.6540921648
401423-223.9292969828091646.92929698281
415546169098.8634752691-13637.8634752691
423108141776.8888216416-10695.8888216416
432299636013.1519391607-13017.1519391607
4483122105456.668554545-22334.6685545448
457010686212.2101849966-16106.2101849966
466057871967.8680117142-11389.8680117142
473999257760.6184201507-17768.6184201507
487989277113.41086456912778.58913543087
494981056959.2657255485-7149.26572554848
507157041124.649443590530445.3505564095
5110070876050.002267575224657.9977324249
523303240048.6828948779-7016.68289487794
538287597466.0447257266-14591.0447257266
54139077103549.78823253735527.2117674631
557159586495.1709454897-14900.1709454897
567226085157.0636956789-12897.0636956789
5759507087.03528444037-1137.03528444037
58115762103522.78270931412239.2172906858
593255128847.58866916583703.4113308342
603170129521.8246604112179.17533958896
618067091763.7092014169-11093.7092014169
62143558124704.01533064718853.9846693534
6311710581907.574632421535197.4253675785
642378933357.0249707487-9568.0249707487
65120733130841.894633964-10108.8946339641
66105195126874.900378812-21679.9003788115
677310772406.553721273700.446278726974
68132068111695.22938995520372.7706100453
69149193126280.5661678422912.4338321598
704682158600.223965841-11779.223965841
718701189316.0051259143-2305.00512591427
7295260100922.144217916-5662.14421791629
735518374925.9988191775-19742.9988191775
7410667178522.926061831128148.0739381689
757351192701.4846576082-19190.4846576082
769294585086.44377152357858.55622847653
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1963008043472.4069568038-13392.4069568038
1972409436766.8997988402-12672.8997988402
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1995496834242.436978332820725.5630216672
2004609043698.93885053972391.06114946035
2012750740145.3302018668-12638.3302018668
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2084066246873.6393175564-6211.63931755642
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2102282745382.0013935635-22555.0013935635
2111851324832.3307965138-6319.33079651378
2123059436044.1406071154-5450.14060711542
2132400631760.7664970201-7754.76649702008
2142791339518.0202359815-11605.0202359815
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2201847227071.2057998067-8599.20579980675
2213097640383.4159503889-9407.4159503889
2226333955810.75351674737528.24648325266
2232556840969.9856913253-15401.9856913253
2243374739476.8617413407-5729.86174134069
225415418299.9967762415-14145.9967762415
2261947432502.2479828325-13028.2479828324
2273513016285.894479170618844.1055208294
2283906743262.4447929-4195.44479290003
2291331025760.7981781737-12450.7981781737
2306589239526.156025654726365.8439743453
231414318074.8985864944-13931.8985864944
2322857935550.7320369794-6971.73203697942
2335177634267.944814846417508.0551851536
2342115225056.381857658-3904.38185765804
2353808439022.7821109229-938.78211092293
2362771736207.4156570999-8490.41565709988
2373292836187.7908068661-3259.79080686607
2381134221465.0237483236-10123.0237483236
2391949931923.8855276219-12424.8855276219
2401638025762.6705782704-9382.67057827039
2413687430402.16092935116471.83907064889
2424825966325.506364638-18066.506364638
2431673428844.5355267935-12110.5355267935
2442820730452.2869006013-2245.2869006013
2453014332626.7295606728-2483.7295606728
2464136934764.53758745126604.46241254883
2474583338916.03965540096916.96034459906
2482915627881.81634574191274.18365425812
2493594423284.296938294612659.7030617054
2503627820560.837297168315717.1627028317
2514558847724.7119110236-2136.71191102356
2524509747227.2864759321-2130.28647593215
25338954040.18869111597-145.188691115968
2542839435209.8686301132-6815.86863011324
2551863230477.2203680091-11845.2203680091
25623254473.49106379814-2148.49106379814
2572513919978.22173152785160.77826847218
2582797529215.296805807-1240.29680580704
2591448325752.1547986466-11269.1547986466
2601312716488.0020171708-3361.00201717082
261583910860.501105876-5021.50110587596
2622406941850.0213443054-17781.0213443054
26337388350.91314933144-4612.91314933144
2641862530031.194608206-11406.194608206
2653634128918.91800861317422.08199138694
2662454829587.2109734466-5039.21097344656
2672179238360.143788627-16568.143788627
2682626321998.38693262234264.61306737768
2692368641823.9864070341-18137.9864070341
2704930339716.38146609279586.61853390728
2712565935830.5241682898-10171.5241682898
2722890431613.096802493-2709.09680249305
2732781862.2089303023081918.79106969769
2742923635469.8015057951-6233.80150579507
2751954620554.1025866997-1008.10258669974
2762281821654.12773032981163.87226967022
2773268913590.984731482719098.0152685173
27857526683.56592780113-931.565927801135
2792219735565.8018220704-13368.8018220704
2802005534995.9314299958-14940.9314299958
2812527234741.714447101-9469.714447101
2828220621422.614969145560783.3850308545
2833207320017.627447429912055.3725525701
28454445504.07041891597-60.0704189159706
2852015427681.32598302-7527.32598302
2863694423235.922103490713708.0778965093
287801919733.1102367904-11714.1102367904
2883088445514.3969365189-14630.3969365189
2891954027343.8884620283-7803.88846202833






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.2466107576889040.4932215153778080.753389242311096
130.1310105173476910.2620210346953810.868989482652309
140.06667710846325620.1333542169265120.933322891536744
150.02947025868895330.05894051737790660.970529741311047
160.01348915667668080.02697831335336160.986510843323319
170.01102931673218140.02205863346436270.988970683267819
180.004714277698081760.009428555396163520.995285722301918
190.01326360842028090.02652721684056180.986736391579719
200.01097450407547260.02194900815094520.989025495924527
210.1608909932649410.3217819865298820.839109006735059
220.1422513258435920.2845026516871850.857748674156408
230.1015527897533920.2031055795067830.898447210246608
240.06867360823987060.1373472164797410.931326391760129
250.04521190297136340.09042380594272670.954788097028637
260.0381239018476840.0762478036953680.961876098152316
270.03347781340476760.06695562680953510.966522186595232
280.02351821178350540.04703642356701080.976481788216495
290.02397649638537950.04795299277075910.97602350361462
300.02928460206151170.05856920412302330.970715397938488
310.03013581171359730.06027162342719460.969864188286403
320.0205849708601830.04116994172036590.979415029139817
330.01361301253714140.02722602507428280.986386987462859
340.01151997913129430.02303995826258850.988480020868706
350.01193535303450530.02387070606901050.988064646965495
360.01054960756311610.02109921512623220.989450392436884
370.007689873131261140.01537974626252230.992310126868739
380.005138483275094670.01027696655018930.994861516724905
390.003984941075033990.007969882150067990.996015058924966
400.008279634707079110.01655926941415820.991720365292921
410.006559482641372380.01311896528274480.993440517358628
420.005589111100196910.01117822220039380.994410888899803
430.003707519367878790.007415038735757590.996292480632121
440.004072155526468890.008144311052937780.995927844473531
450.005981825661380960.01196365132276190.994018174338619
460.004285966128945680.008571932257891360.995714033871054
470.003020918199918640.006041836399837280.996979081800081
480.00255641796267430.005112835925348610.997443582037326
490.001700477476022510.003400954952045010.998299522523977
500.002307879210271010.004615758420542010.997692120789729
510.01144808830863730.02289617661727460.988551911691363
520.008474273659422050.01694854731884410.991525726340578
530.006726309588713470.01345261917742690.993273690411287
540.0162234343214550.032446868642910.983776565678545
550.01516096348382780.03032192696765550.984839036516172
560.01167366907581420.02334733815162840.988326330924186
570.008594574940126190.01718914988025240.991405425059874
580.009998517366066380.01999703473213280.990001482633934
590.007613105764615770.01522621152923150.992386894235384
600.005464670079344380.01092934015868880.994535329920656
610.004154112047550340.008308224095100680.99584588795245
620.006850196847854270.01370039369570850.993149803152146
630.01281777721920130.02563555443840260.987182222780799
640.009887451309551740.01977490261910350.990112548690448
650.009905543129323860.01981108625864770.990094456870676
660.01006077262612580.02012154525225170.989939227373874
670.007793851464952070.01558770292990410.992206148535048
680.009303016377515730.01860603275503150.990696983622484
690.009933715998169390.01986743199633880.990066284001831
700.00856787779945150.0171357555989030.991432122200549
710.006516778349130540.01303355669826110.993483221650869
720.004862321542729890.009724643085459780.99513767845727
730.004742876324206950.00948575264841390.995257123675793
740.006630938697598780.01326187739519760.993369061302401
750.00601556973252350.0120311394650470.993984430267477
760.004486432795503690.008972865591007380.995513567204496
770.003943785971756920.007887571943513840.996056214028243
780.003150788972419310.006301577944838620.996849211027581
790.002431698507778630.004863397015557260.997568301492221
800.00196049911356160.00392099822712320.998039500886438
810.001409750920309570.002819501840619140.99859024907969
820.001355868597927870.002711737195855740.998644131402072
830.0009887103296570920.001977420659314180.999011289670343
840.0007117033484030920.001423406696806180.999288296651597
850.9901262151676670.01974756966466680.00987378483233339
860.9885130584656850.02297388306863020.0114869415343151
870.9862024371916420.02759512561671560.0137975628083578
880.9831799312452560.03364013750948760.0168200687547438
890.9790635936048040.04187281279039120.0209364063951956
900.976337817032090.04732436593581930.0236621829679097
910.9724338004845960.05513239903080690.0275661995154035
920.9738773976671560.05224520466568820.0261226023328441
930.9729488918464460.05410221630710890.0270511081535544
940.9671209867100780.06575802657984450.0328790132899223
950.9655660266232160.06886794675356890.0344339733767844
960.9633423571408020.07331528571839670.0366576428591984
970.9663738441700930.06725231165981440.0336261558299072
980.9633410056988350.07331798860232990.036658994301165
990.9631701333165840.07365973336683150.0368298666834157
1000.9555552134452470.0888895731095060.044444786554753
1010.9464729794790650.1070540410418690.0535270205209347
1020.9484993759904110.1030012480191780.051500624009589
1030.9393055057678430.1213889884643140.060694494232157
1040.9491482783443550.101703443311290.0508517216556449
1050.9572226231024960.08555475379500880.0427773768975044
1060.9699400238318650.06011995233627020.0300599761681351
1070.9681119675375490.0637760649249020.031888032462451
1080.963263864348130.07347227130373890.0367361356518695
1090.9636362605152790.07272747896944240.0363637394847212
1100.9572991621597410.08540167568051870.0427008378402593
1110.954478103242490.09104379351502020.0455218967575101
1120.9491411289270510.1017177421458980.0508588710729488
1130.9394646202355940.1210707595288110.0605353797644057
1140.9333241806901870.1333516386196270.0666758193098135
1150.9413861632278440.1172276735443120.0586138367721561
1160.9366442839719710.1267114320560590.0633557160280294
1170.9278090777250790.1443818445498420.072190922274921
1180.9181715500232120.1636568999535750.0818284499767875
1190.9999929050801551.41898396892685e-057.09491984463427e-06
1200.999989893916382.02121672405975e-051.01060836202988e-05
1210.9999880522316182.38955367644601e-051.19477683822301e-05
1220.9999840764280763.18471438472945e-051.59235719236473e-05
1230.9999792737977084.14524045845139e-052.07262022922569e-05
1240.9999999761985564.76028886590195e-082.38014443295097e-08
1250.9999999872228812.55542389984992e-081.27771194992496e-08
1260.9999999794642994.10714026668367e-082.05357013334183e-08
1270.9999999745687295.08625417362717e-082.54312708681359e-08
1280.9999999613979367.72041272658559e-083.8602063632928e-08
1290.9999999379758331.24048334498249e-076.20241672491244e-08
1300.9999999021573551.95685290386361e-079.78426451931807e-08
1310.9999998455906733.08818653913011e-071.54409326956506e-07
1320.9999998362275543.2754489220243e-071.63772446101215e-07
1330.9999997459843615.08031277551428e-072.54015638775714e-07
1340.9999997481977575.03604486125207e-072.51802243062604e-07
1350.9999998888214222.22357155904637e-071.11178577952319e-07
1360.9999998606234782.78753044791763e-071.39376522395881e-07
1370.9999997816059864.36788027900611e-072.18394013950306e-07
1380.9999999041878231.9162435467522e-079.58121773376101e-08
1390.9999999193966511.61206697091476e-078.0603348545738e-08
1400.999999874946162.50107679312284e-071.25053839656142e-07
1410.9999998249154623.50169075775733e-071.75084537887867e-07
1420.9999997699961614.60007678914306e-072.30003839457153e-07
1430.9999996618730626.76253876354891e-073.38126938177445e-07
1440.9999996033841237.93231754257318e-073.96615877128659e-07
1450.9999995493119259.013761495411e-074.5068807477055e-07
1460.9999992988252331.40234953497188e-067.01174767485939e-07
1470.9999997143230495.71353902247213e-072.85676951123607e-07
1480.9999999096520931.80695814598255e-079.03479072991273e-08
1490.9999998592990222.81401956617685e-071.40700978308842e-07
1500.9999998042572863.91485427273801e-071.957427136369e-07
1510.9999998393611843.21277631152987e-071.60638815576493e-07
1520.9999998890954952.21809009412829e-071.10904504706415e-07
1530.9999998239948263.52010348573509e-071.76005174286755e-07
1540.9999999325519081.34896183864496e-076.74480919322478e-08
1550.9999998974346872.05130626002359e-071.0256531300118e-07
1560.9999999965597056.88059051161571e-093.44029525580785e-09
1570.9999999945204571.09590855220979e-085.47954276104897e-09
1580.9999999914455911.71088179638036e-088.55440898190178e-09
1590.9999999866959482.66081048787347e-081.33040524393674e-08
1600.9999999799709834.00580347003071e-082.00290173501536e-08
1610.9999999676712326.46575362817365e-083.23287681408682e-08
1620.9999999999890782.18439843066268e-111.09219921533134e-11
1630.9999999999797554.0490688968506e-112.0245344484253e-11
1640.9999999999691296.17427881971764e-113.08713940985882e-11
1650.9999999999563538.72932497428081e-114.36466248714041e-11
1660.9999999999624377.51252161395655e-113.75626080697827e-11
1670.9999999999613367.73285202651969e-113.86642601325984e-11
1680.9999999999731165.37678033768978e-112.68839016884489e-11
1690.9999999999599348.01328977346414e-114.00664488673207e-11
1700.9999999999941711.16581899645036e-115.8290949822518e-12
1710.9999999999928041.43920113356161e-117.19600566780804e-12
1720.9999999999868382.63243478649933e-111.31621739324967e-11
1730.9999999999755284.89449353220654e-112.44724676610327e-11
1740.9999999999587958.24106747595767e-114.12053373797884e-11
1750.9999999999973015.39824835169176e-122.69912417584588e-12
1760.9999999999972745.45244288115346e-122.72622144057673e-12
1770.9999999999993891.22252451710433e-126.11262258552165e-13
1780.9999999999989122.1764155482128e-121.0882077741064e-12
1790.9999999999997435.13482097062984e-132.56741048531492e-13
1800.9999999999995538.93396189081892e-134.46698094540946e-13
1810.999999999999321.36094377431801e-126.80471887159004e-13
1820.9999999999995459.10584463229591e-134.55292231614795e-13
1830.9999999999990751.84929974828222e-129.24649874141109e-13
1840.9999999999982723.45591589624522e-121.72795794812261e-12
1850.9999999999995029.95954625942325e-134.97977312971163e-13
1860.9999999999989852.03066388877713e-121.01533194438857e-12
1870.9999999999981913.61838498655837e-121.80919249327919e-12
1880.9999999999963987.20350532195981e-123.6017526609799e-12
1890.9999999999948521.02955068956696e-115.14775344783481e-12
1900.999999999989782.04401446755591e-111.02200723377795e-11
1910.9999999999898152.03697798355771e-111.01848899177886e-11
1920.9999999999825013.49986088533811e-111.74993044266906e-11
1930.9999999999698166.03669744380155e-113.01834872190078e-11
1940.999999999982893.42204474534869e-111.71102237267434e-11
1950.9999999999660986.78036585040327e-113.39018292520164e-11
1960.9999999999562318.75387033267956e-114.37693516633978e-11
1970.9999999999414581.1708300131865e-105.8541500659325e-11
1980.9999999999943911.12184642075598e-115.60923210377992e-12
1990.9999999999931671.36653927817379e-116.83269639086895e-12
2000.9999999999898442.03126388701078e-111.01563194350539e-11
2010.9999999999822123.55763876212185e-111.77881938106093e-11
2020.9999999999792374.15261805323759e-112.0763090266188e-11
2030.9999999999581518.36982474845468e-114.18491237422734e-11
2040.9999999999381181.23764256147335e-106.18821280736676e-11
2050.9999999998955092.0898195248059e-101.04490976240295e-10
2060.9999999997988224.02355684098089e-102.01177842049045e-10
2070.9999999996848536.30294825589703e-103.15147412794852e-10
2080.9999999994321611.1356771236597e-095.6783856182985e-10
2090.999999999230411.53917893945612e-097.69589469728062e-10
2100.9999999995895768.20848331264931e-104.10424165632466e-10
2110.9999999993135771.37284531312375e-096.86422656561873e-10
2120.9999999987943172.41136509045772e-091.20568254522886e-09
2130.9999999976558474.68830643959715e-092.34415321979858e-09
2140.9999999962051927.58961522968922e-093.79480761484461e-09
2150.9999999944471251.11057509304474e-085.5528754652237e-09
2160.9999999936628561.26742875253226e-086.33714376266132e-09
2170.9999999880640112.3871978141574e-081.1935989070787e-08
2180.9999999947128861.05742273923731e-085.28711369618655e-09
2190.9999999909142061.81715889500524e-089.08579447502622e-09
2200.9999999849068783.01862444768052e-081.50931222384026e-08
2210.9999999788345064.23309870586381e-082.11654935293191e-08
2220.9999999777644714.44710589422483e-082.22355294711242e-08
2230.9999999672778786.5444244076843e-083.27221220384215e-08
2240.9999999386463071.22707385623197e-076.13536928115985e-08
2250.9999999098424351.80315130839906e-079.0157565419953e-08
2260.9999999199920561.60015888576839e-078.00079442884197e-08
2270.9999999385399091.22920182217059e-076.14600911085295e-08
2280.999999879514622.40970759770133e-071.20485379885066e-07
2290.9999998486267973.02746405221623e-071.51373202610811e-07
2300.9999999726857245.46285517564703e-082.73142758782352e-08
2310.9999999523565939.52868140266402e-084.76434070133201e-08
2320.9999999034276881.9314462484659e-079.65723124232952e-08
2330.999999890317322.19365359554777e-071.09682679777389e-07
2340.9999997835126194.32974762148537e-072.16487381074268e-07
2350.9999996045300047.90939992504704e-073.95469996252352e-07
2360.9999992414762691.51704746299831e-067.58523731499155e-07
2370.9999993494057811.30118843892535e-066.50594219462674e-07
2380.9999994315312051.13693758943178e-065.6846879471589e-07
2390.9999989358652122.12826957585066e-061.06413478792533e-06
2400.9999980459970923.90800581629577e-061.95400290814788e-06
2410.9999963731433557.25371329047897e-063.62685664523949e-06
2420.9999934734584891.30530830213286e-056.52654151066429e-06
2430.9999885335760182.29328479638889e-051.14664239819444e-05
2440.9999794762250954.10475498092795e-052.05237749046397e-05
2450.9999629094520357.41810959305891e-053.70905479652946e-05
2460.9999326425567180.0001347148865642726.73574432821362e-05
2470.9999026609394920.0001946781210150599.73390605075293e-05
2480.9998238092242240.0003523815515513420.000176190775775671
2490.9997794524103970.0004410951792066140.000220547589603307
2500.999890280965020.0002194380699593260.000109719034979663
2510.9998153008033880.0003693983932238330.000184699196611916
2520.9997112015382190.0005775969235628120.000288798461781406
2530.9994739379937050.001052124012590480.00052606200629524
2540.9991453905491130.001709218901774760.000854609450887381
2550.998733772181980.002532455636039710.00126622781801986
2560.9981695265150530.003660946969894970.00183047348494748
2570.9974245222411040.005150955517791360.00257547775889568
2580.9956819711324470.008636057735105770.00431802886755289
2590.9932701750219170.01345964995616660.00672982497808328
2600.9889338412796610.02213231744067810.0110661587203391
2610.9845878718996180.03082425620076330.0154121281003816
2620.9808515396963260.03829692060734840.0191484603036742
2630.97668870271230.04662259457540020.0233112972877001
2640.9669826696432430.06603466071351310.0330173303567566
2650.9684702403718580.06305951925628450.0315297596281422
2660.9558889230979870.08822215380402660.0441110769020133
2670.9314189175670690.1371621648658630.0685810824329314
2680.8960715812619130.2078568374761730.103928418738087
2690.9565345997412810.08693080051743850.0434654002587193
2700.9313833749009830.1372332501980340.068616625099017
2710.8956564303987540.2086871392024920.104343569601246
2720.8481158615402530.3037682769194930.151884138459747
2730.8308891331954010.3382217336091990.169110866804599
2740.8348582657102560.3302834685794870.165141734289744
2750.9212997041685560.1574005916628890.0787002958314444
2760.8391320184591780.3217359630816430.160867981540822
2770.7013030303507080.5973939392985850.298696969649292

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
12 & 0.246610757688904 & 0.493221515377808 & 0.753389242311096 \tabularnewline
13 & 0.131010517347691 & 0.262021034695381 & 0.868989482652309 \tabularnewline
14 & 0.0666771084632562 & 0.133354216926512 & 0.933322891536744 \tabularnewline
15 & 0.0294702586889533 & 0.0589405173779066 & 0.970529741311047 \tabularnewline
16 & 0.0134891566766808 & 0.0269783133533616 & 0.986510843323319 \tabularnewline
17 & 0.0110293167321814 & 0.0220586334643627 & 0.988970683267819 \tabularnewline
18 & 0.00471427769808176 & 0.00942855539616352 & 0.995285722301918 \tabularnewline
19 & 0.0132636084202809 & 0.0265272168405618 & 0.986736391579719 \tabularnewline
20 & 0.0109745040754726 & 0.0219490081509452 & 0.989025495924527 \tabularnewline
21 & 0.160890993264941 & 0.321781986529882 & 0.839109006735059 \tabularnewline
22 & 0.142251325843592 & 0.284502651687185 & 0.857748674156408 \tabularnewline
23 & 0.101552789753392 & 0.203105579506783 & 0.898447210246608 \tabularnewline
24 & 0.0686736082398706 & 0.137347216479741 & 0.931326391760129 \tabularnewline
25 & 0.0452119029713634 & 0.0904238059427267 & 0.954788097028637 \tabularnewline
26 & 0.038123901847684 & 0.076247803695368 & 0.961876098152316 \tabularnewline
27 & 0.0334778134047676 & 0.0669556268095351 & 0.966522186595232 \tabularnewline
28 & 0.0235182117835054 & 0.0470364235670108 & 0.976481788216495 \tabularnewline
29 & 0.0239764963853795 & 0.0479529927707591 & 0.97602350361462 \tabularnewline
30 & 0.0292846020615117 & 0.0585692041230233 & 0.970715397938488 \tabularnewline
31 & 0.0301358117135973 & 0.0602716234271946 & 0.969864188286403 \tabularnewline
32 & 0.020584970860183 & 0.0411699417203659 & 0.979415029139817 \tabularnewline
33 & 0.0136130125371414 & 0.0272260250742828 & 0.986386987462859 \tabularnewline
34 & 0.0115199791312943 & 0.0230399582625885 & 0.988480020868706 \tabularnewline
35 & 0.0119353530345053 & 0.0238707060690105 & 0.988064646965495 \tabularnewline
36 & 0.0105496075631161 & 0.0210992151262322 & 0.989450392436884 \tabularnewline
37 & 0.00768987313126114 & 0.0153797462625223 & 0.992310126868739 \tabularnewline
38 & 0.00513848327509467 & 0.0102769665501893 & 0.994861516724905 \tabularnewline
39 & 0.00398494107503399 & 0.00796988215006799 & 0.996015058924966 \tabularnewline
40 & 0.00827963470707911 & 0.0165592694141582 & 0.991720365292921 \tabularnewline
41 & 0.00655948264137238 & 0.0131189652827448 & 0.993440517358628 \tabularnewline
42 & 0.00558911110019691 & 0.0111782222003938 & 0.994410888899803 \tabularnewline
43 & 0.00370751936787879 & 0.00741503873575759 & 0.996292480632121 \tabularnewline
44 & 0.00407215552646889 & 0.00814431105293778 & 0.995927844473531 \tabularnewline
45 & 0.00598182566138096 & 0.0119636513227619 & 0.994018174338619 \tabularnewline
46 & 0.00428596612894568 & 0.00857193225789136 & 0.995714033871054 \tabularnewline
47 & 0.00302091819991864 & 0.00604183639983728 & 0.996979081800081 \tabularnewline
48 & 0.0025564179626743 & 0.00511283592534861 & 0.997443582037326 \tabularnewline
49 & 0.00170047747602251 & 0.00340095495204501 & 0.998299522523977 \tabularnewline
50 & 0.00230787921027101 & 0.00461575842054201 & 0.997692120789729 \tabularnewline
51 & 0.0114480883086373 & 0.0228961766172746 & 0.988551911691363 \tabularnewline
52 & 0.00847427365942205 & 0.0169485473188441 & 0.991525726340578 \tabularnewline
53 & 0.00672630958871347 & 0.0134526191774269 & 0.993273690411287 \tabularnewline
54 & 0.016223434321455 & 0.03244686864291 & 0.983776565678545 \tabularnewline
55 & 0.0151609634838278 & 0.0303219269676555 & 0.984839036516172 \tabularnewline
56 & 0.0116736690758142 & 0.0233473381516284 & 0.988326330924186 \tabularnewline
57 & 0.00859457494012619 & 0.0171891498802524 & 0.991405425059874 \tabularnewline
58 & 0.00999851736606638 & 0.0199970347321328 & 0.990001482633934 \tabularnewline
59 & 0.00761310576461577 & 0.0152262115292315 & 0.992386894235384 \tabularnewline
60 & 0.00546467007934438 & 0.0109293401586888 & 0.994535329920656 \tabularnewline
61 & 0.00415411204755034 & 0.00830822409510068 & 0.99584588795245 \tabularnewline
62 & 0.00685019684785427 & 0.0137003936957085 & 0.993149803152146 \tabularnewline
63 & 0.0128177772192013 & 0.0256355544384026 & 0.987182222780799 \tabularnewline
64 & 0.00988745130955174 & 0.0197749026191035 & 0.990112548690448 \tabularnewline
65 & 0.00990554312932386 & 0.0198110862586477 & 0.990094456870676 \tabularnewline
66 & 0.0100607726261258 & 0.0201215452522517 & 0.989939227373874 \tabularnewline
67 & 0.00779385146495207 & 0.0155877029299041 & 0.992206148535048 \tabularnewline
68 & 0.00930301637751573 & 0.0186060327550315 & 0.990696983622484 \tabularnewline
69 & 0.00993371599816939 & 0.0198674319963388 & 0.990066284001831 \tabularnewline
70 & 0.0085678777994515 & 0.017135755598903 & 0.991432122200549 \tabularnewline
71 & 0.00651677834913054 & 0.0130335566982611 & 0.993483221650869 \tabularnewline
72 & 0.00486232154272989 & 0.00972464308545978 & 0.99513767845727 \tabularnewline
73 & 0.00474287632420695 & 0.0094857526484139 & 0.995257123675793 \tabularnewline
74 & 0.00663093869759878 & 0.0132618773951976 & 0.993369061302401 \tabularnewline
75 & 0.0060155697325235 & 0.012031139465047 & 0.993984430267477 \tabularnewline
76 & 0.00448643279550369 & 0.00897286559100738 & 0.995513567204496 \tabularnewline
77 & 0.00394378597175692 & 0.00788757194351384 & 0.996056214028243 \tabularnewline
78 & 0.00315078897241931 & 0.00630157794483862 & 0.996849211027581 \tabularnewline
79 & 0.00243169850777863 & 0.00486339701555726 & 0.997568301492221 \tabularnewline
80 & 0.0019604991135616 & 0.0039209982271232 & 0.998039500886438 \tabularnewline
81 & 0.00140975092030957 & 0.00281950184061914 & 0.99859024907969 \tabularnewline
82 & 0.00135586859792787 & 0.00271173719585574 & 0.998644131402072 \tabularnewline
83 & 0.000988710329657092 & 0.00197742065931418 & 0.999011289670343 \tabularnewline
84 & 0.000711703348403092 & 0.00142340669680618 & 0.999288296651597 \tabularnewline
85 & 0.990126215167667 & 0.0197475696646668 & 0.00987378483233339 \tabularnewline
86 & 0.988513058465685 & 0.0229738830686302 & 0.0114869415343151 \tabularnewline
87 & 0.986202437191642 & 0.0275951256167156 & 0.0137975628083578 \tabularnewline
88 & 0.983179931245256 & 0.0336401375094876 & 0.0168200687547438 \tabularnewline
89 & 0.979063593604804 & 0.0418728127903912 & 0.0209364063951956 \tabularnewline
90 & 0.97633781703209 & 0.0473243659358193 & 0.0236621829679097 \tabularnewline
91 & 0.972433800484596 & 0.0551323990308069 & 0.0275661995154035 \tabularnewline
92 & 0.973877397667156 & 0.0522452046656882 & 0.0261226023328441 \tabularnewline
93 & 0.972948891846446 & 0.0541022163071089 & 0.0270511081535544 \tabularnewline
94 & 0.967120986710078 & 0.0657580265798445 & 0.0328790132899223 \tabularnewline
95 & 0.965566026623216 & 0.0688679467535689 & 0.0344339733767844 \tabularnewline
96 & 0.963342357140802 & 0.0733152857183967 & 0.0366576428591984 \tabularnewline
97 & 0.966373844170093 & 0.0672523116598144 & 0.0336261558299072 \tabularnewline
98 & 0.963341005698835 & 0.0733179886023299 & 0.036658994301165 \tabularnewline
99 & 0.963170133316584 & 0.0736597333668315 & 0.0368298666834157 \tabularnewline
100 & 0.955555213445247 & 0.088889573109506 & 0.044444786554753 \tabularnewline
101 & 0.946472979479065 & 0.107054041041869 & 0.0535270205209347 \tabularnewline
102 & 0.948499375990411 & 0.103001248019178 & 0.051500624009589 \tabularnewline
103 & 0.939305505767843 & 0.121388988464314 & 0.060694494232157 \tabularnewline
104 & 0.949148278344355 & 0.10170344331129 & 0.0508517216556449 \tabularnewline
105 & 0.957222623102496 & 0.0855547537950088 & 0.0427773768975044 \tabularnewline
106 & 0.969940023831865 & 0.0601199523362702 & 0.0300599761681351 \tabularnewline
107 & 0.968111967537549 & 0.063776064924902 & 0.031888032462451 \tabularnewline
108 & 0.96326386434813 & 0.0734722713037389 & 0.0367361356518695 \tabularnewline
109 & 0.963636260515279 & 0.0727274789694424 & 0.0363637394847212 \tabularnewline
110 & 0.957299162159741 & 0.0854016756805187 & 0.0427008378402593 \tabularnewline
111 & 0.95447810324249 & 0.0910437935150202 & 0.0455218967575101 \tabularnewline
112 & 0.949141128927051 & 0.101717742145898 & 0.0508588710729488 \tabularnewline
113 & 0.939464620235594 & 0.121070759528811 & 0.0605353797644057 \tabularnewline
114 & 0.933324180690187 & 0.133351638619627 & 0.0666758193098135 \tabularnewline
115 & 0.941386163227844 & 0.117227673544312 & 0.0586138367721561 \tabularnewline
116 & 0.936644283971971 & 0.126711432056059 & 0.0633557160280294 \tabularnewline
117 & 0.927809077725079 & 0.144381844549842 & 0.072190922274921 \tabularnewline
118 & 0.918171550023212 & 0.163656899953575 & 0.0818284499767875 \tabularnewline
119 & 0.999992905080155 & 1.41898396892685e-05 & 7.09491984463427e-06 \tabularnewline
120 & 0.99998989391638 & 2.02121672405975e-05 & 1.01060836202988e-05 \tabularnewline
121 & 0.999988052231618 & 2.38955367644601e-05 & 1.19477683822301e-05 \tabularnewline
122 & 0.999984076428076 & 3.18471438472945e-05 & 1.59235719236473e-05 \tabularnewline
123 & 0.999979273797708 & 4.14524045845139e-05 & 2.07262022922569e-05 \tabularnewline
124 & 0.999999976198556 & 4.76028886590195e-08 & 2.38014443295097e-08 \tabularnewline
125 & 0.999999987222881 & 2.55542389984992e-08 & 1.27771194992496e-08 \tabularnewline
126 & 0.999999979464299 & 4.10714026668367e-08 & 2.05357013334183e-08 \tabularnewline
127 & 0.999999974568729 & 5.08625417362717e-08 & 2.54312708681359e-08 \tabularnewline
128 & 0.999999961397936 & 7.72041272658559e-08 & 3.8602063632928e-08 \tabularnewline
129 & 0.999999937975833 & 1.24048334498249e-07 & 6.20241672491244e-08 \tabularnewline
130 & 0.999999902157355 & 1.95685290386361e-07 & 9.78426451931807e-08 \tabularnewline
131 & 0.999999845590673 & 3.08818653913011e-07 & 1.54409326956506e-07 \tabularnewline
132 & 0.999999836227554 & 3.2754489220243e-07 & 1.63772446101215e-07 \tabularnewline
133 & 0.999999745984361 & 5.08031277551428e-07 & 2.54015638775714e-07 \tabularnewline
134 & 0.999999748197757 & 5.03604486125207e-07 & 2.51802243062604e-07 \tabularnewline
135 & 0.999999888821422 & 2.22357155904637e-07 & 1.11178577952319e-07 \tabularnewline
136 & 0.999999860623478 & 2.78753044791763e-07 & 1.39376522395881e-07 \tabularnewline
137 & 0.999999781605986 & 4.36788027900611e-07 & 2.18394013950306e-07 \tabularnewline
138 & 0.999999904187823 & 1.9162435467522e-07 & 9.58121773376101e-08 \tabularnewline
139 & 0.999999919396651 & 1.61206697091476e-07 & 8.0603348545738e-08 \tabularnewline
140 & 0.99999987494616 & 2.50107679312284e-07 & 1.25053839656142e-07 \tabularnewline
141 & 0.999999824915462 & 3.50169075775733e-07 & 1.75084537887867e-07 \tabularnewline
142 & 0.999999769996161 & 4.60007678914306e-07 & 2.30003839457153e-07 \tabularnewline
143 & 0.999999661873062 & 6.76253876354891e-07 & 3.38126938177445e-07 \tabularnewline
144 & 0.999999603384123 & 7.93231754257318e-07 & 3.96615877128659e-07 \tabularnewline
145 & 0.999999549311925 & 9.013761495411e-07 & 4.5068807477055e-07 \tabularnewline
146 & 0.999999298825233 & 1.40234953497188e-06 & 7.01174767485939e-07 \tabularnewline
147 & 0.999999714323049 & 5.71353902247213e-07 & 2.85676951123607e-07 \tabularnewline
148 & 0.999999909652093 & 1.80695814598255e-07 & 9.03479072991273e-08 \tabularnewline
149 & 0.999999859299022 & 2.81401956617685e-07 & 1.40700978308842e-07 \tabularnewline
150 & 0.999999804257286 & 3.91485427273801e-07 & 1.957427136369e-07 \tabularnewline
151 & 0.999999839361184 & 3.21277631152987e-07 & 1.60638815576493e-07 \tabularnewline
152 & 0.999999889095495 & 2.21809009412829e-07 & 1.10904504706415e-07 \tabularnewline
153 & 0.999999823994826 & 3.52010348573509e-07 & 1.76005174286755e-07 \tabularnewline
154 & 0.999999932551908 & 1.34896183864496e-07 & 6.74480919322478e-08 \tabularnewline
155 & 0.999999897434687 & 2.05130626002359e-07 & 1.0256531300118e-07 \tabularnewline
156 & 0.999999996559705 & 6.88059051161571e-09 & 3.44029525580785e-09 \tabularnewline
157 & 0.999999994520457 & 1.09590855220979e-08 & 5.47954276104897e-09 \tabularnewline
158 & 0.999999991445591 & 1.71088179638036e-08 & 8.55440898190178e-09 \tabularnewline
159 & 0.999999986695948 & 2.66081048787347e-08 & 1.33040524393674e-08 \tabularnewline
160 & 0.999999979970983 & 4.00580347003071e-08 & 2.00290173501536e-08 \tabularnewline
161 & 0.999999967671232 & 6.46575362817365e-08 & 3.23287681408682e-08 \tabularnewline
162 & 0.999999999989078 & 2.18439843066268e-11 & 1.09219921533134e-11 \tabularnewline
163 & 0.999999999979755 & 4.0490688968506e-11 & 2.0245344484253e-11 \tabularnewline
164 & 0.999999999969129 & 6.17427881971764e-11 & 3.08713940985882e-11 \tabularnewline
165 & 0.999999999956353 & 8.72932497428081e-11 & 4.36466248714041e-11 \tabularnewline
166 & 0.999999999962437 & 7.51252161395655e-11 & 3.75626080697827e-11 \tabularnewline
167 & 0.999999999961336 & 7.73285202651969e-11 & 3.86642601325984e-11 \tabularnewline
168 & 0.999999999973116 & 5.37678033768978e-11 & 2.68839016884489e-11 \tabularnewline
169 & 0.999999999959934 & 8.01328977346414e-11 & 4.00664488673207e-11 \tabularnewline
170 & 0.999999999994171 & 1.16581899645036e-11 & 5.8290949822518e-12 \tabularnewline
171 & 0.999999999992804 & 1.43920113356161e-11 & 7.19600566780804e-12 \tabularnewline
172 & 0.999999999986838 & 2.63243478649933e-11 & 1.31621739324967e-11 \tabularnewline
173 & 0.999999999975528 & 4.89449353220654e-11 & 2.44724676610327e-11 \tabularnewline
174 & 0.999999999958795 & 8.24106747595767e-11 & 4.12053373797884e-11 \tabularnewline
175 & 0.999999999997301 & 5.39824835169176e-12 & 2.69912417584588e-12 \tabularnewline
176 & 0.999999999997274 & 5.45244288115346e-12 & 2.72622144057673e-12 \tabularnewline
177 & 0.999999999999389 & 1.22252451710433e-12 & 6.11262258552165e-13 \tabularnewline
178 & 0.999999999998912 & 2.1764155482128e-12 & 1.0882077741064e-12 \tabularnewline
179 & 0.999999999999743 & 5.13482097062984e-13 & 2.56741048531492e-13 \tabularnewline
180 & 0.999999999999553 & 8.93396189081892e-13 & 4.46698094540946e-13 \tabularnewline
181 & 0.99999999999932 & 1.36094377431801e-12 & 6.80471887159004e-13 \tabularnewline
182 & 0.999999999999545 & 9.10584463229591e-13 & 4.55292231614795e-13 \tabularnewline
183 & 0.999999999999075 & 1.84929974828222e-12 & 9.24649874141109e-13 \tabularnewline
184 & 0.999999999998272 & 3.45591589624522e-12 & 1.72795794812261e-12 \tabularnewline
185 & 0.999999999999502 & 9.95954625942325e-13 & 4.97977312971163e-13 \tabularnewline
186 & 0.999999999998985 & 2.03066388877713e-12 & 1.01533194438857e-12 \tabularnewline
187 & 0.999999999998191 & 3.61838498655837e-12 & 1.80919249327919e-12 \tabularnewline
188 & 0.999999999996398 & 7.20350532195981e-12 & 3.6017526609799e-12 \tabularnewline
189 & 0.999999999994852 & 1.02955068956696e-11 & 5.14775344783481e-12 \tabularnewline
190 & 0.99999999998978 & 2.04401446755591e-11 & 1.02200723377795e-11 \tabularnewline
191 & 0.999999999989815 & 2.03697798355771e-11 & 1.01848899177886e-11 \tabularnewline
192 & 0.999999999982501 & 3.49986088533811e-11 & 1.74993044266906e-11 \tabularnewline
193 & 0.999999999969816 & 6.03669744380155e-11 & 3.01834872190078e-11 \tabularnewline
194 & 0.99999999998289 & 3.42204474534869e-11 & 1.71102237267434e-11 \tabularnewline
195 & 0.999999999966098 & 6.78036585040327e-11 & 3.39018292520164e-11 \tabularnewline
196 & 0.999999999956231 & 8.75387033267956e-11 & 4.37693516633978e-11 \tabularnewline
197 & 0.999999999941458 & 1.1708300131865e-10 & 5.8541500659325e-11 \tabularnewline
198 & 0.999999999994391 & 1.12184642075598e-11 & 5.60923210377992e-12 \tabularnewline
199 & 0.999999999993167 & 1.36653927817379e-11 & 6.83269639086895e-12 \tabularnewline
200 & 0.999999999989844 & 2.03126388701078e-11 & 1.01563194350539e-11 \tabularnewline
201 & 0.999999999982212 & 3.55763876212185e-11 & 1.77881938106093e-11 \tabularnewline
202 & 0.999999999979237 & 4.15261805323759e-11 & 2.0763090266188e-11 \tabularnewline
203 & 0.999999999958151 & 8.36982474845468e-11 & 4.18491237422734e-11 \tabularnewline
204 & 0.999999999938118 & 1.23764256147335e-10 & 6.18821280736676e-11 \tabularnewline
205 & 0.999999999895509 & 2.0898195248059e-10 & 1.04490976240295e-10 \tabularnewline
206 & 0.999999999798822 & 4.02355684098089e-10 & 2.01177842049045e-10 \tabularnewline
207 & 0.999999999684853 & 6.30294825589703e-10 & 3.15147412794852e-10 \tabularnewline
208 & 0.999999999432161 & 1.1356771236597e-09 & 5.6783856182985e-10 \tabularnewline
209 & 0.99999999923041 & 1.53917893945612e-09 & 7.69589469728062e-10 \tabularnewline
210 & 0.999999999589576 & 8.20848331264931e-10 & 4.10424165632466e-10 \tabularnewline
211 & 0.999999999313577 & 1.37284531312375e-09 & 6.86422656561873e-10 \tabularnewline
212 & 0.999999998794317 & 2.41136509045772e-09 & 1.20568254522886e-09 \tabularnewline
213 & 0.999999997655847 & 4.68830643959715e-09 & 2.34415321979858e-09 \tabularnewline
214 & 0.999999996205192 & 7.58961522968922e-09 & 3.79480761484461e-09 \tabularnewline
215 & 0.999999994447125 & 1.11057509304474e-08 & 5.5528754652237e-09 \tabularnewline
216 & 0.999999993662856 & 1.26742875253226e-08 & 6.33714376266132e-09 \tabularnewline
217 & 0.999999988064011 & 2.3871978141574e-08 & 1.1935989070787e-08 \tabularnewline
218 & 0.999999994712886 & 1.05742273923731e-08 & 5.28711369618655e-09 \tabularnewline
219 & 0.999999990914206 & 1.81715889500524e-08 & 9.08579447502622e-09 \tabularnewline
220 & 0.999999984906878 & 3.01862444768052e-08 & 1.50931222384026e-08 \tabularnewline
221 & 0.999999978834506 & 4.23309870586381e-08 & 2.11654935293191e-08 \tabularnewline
222 & 0.999999977764471 & 4.44710589422483e-08 & 2.22355294711242e-08 \tabularnewline
223 & 0.999999967277878 & 6.5444244076843e-08 & 3.27221220384215e-08 \tabularnewline
224 & 0.999999938646307 & 1.22707385623197e-07 & 6.13536928115985e-08 \tabularnewline
225 & 0.999999909842435 & 1.80315130839906e-07 & 9.0157565419953e-08 \tabularnewline
226 & 0.999999919992056 & 1.60015888576839e-07 & 8.00079442884197e-08 \tabularnewline
227 & 0.999999938539909 & 1.22920182217059e-07 & 6.14600911085295e-08 \tabularnewline
228 & 0.99999987951462 & 2.40970759770133e-07 & 1.20485379885066e-07 \tabularnewline
229 & 0.999999848626797 & 3.02746405221623e-07 & 1.51373202610811e-07 \tabularnewline
230 & 0.999999972685724 & 5.46285517564703e-08 & 2.73142758782352e-08 \tabularnewline
231 & 0.999999952356593 & 9.52868140266402e-08 & 4.76434070133201e-08 \tabularnewline
232 & 0.999999903427688 & 1.9314462484659e-07 & 9.65723124232952e-08 \tabularnewline
233 & 0.99999989031732 & 2.19365359554777e-07 & 1.09682679777389e-07 \tabularnewline
234 & 0.999999783512619 & 4.32974762148537e-07 & 2.16487381074268e-07 \tabularnewline
235 & 0.999999604530004 & 7.90939992504704e-07 & 3.95469996252352e-07 \tabularnewline
236 & 0.999999241476269 & 1.51704746299831e-06 & 7.58523731499155e-07 \tabularnewline
237 & 0.999999349405781 & 1.30118843892535e-06 & 6.50594219462674e-07 \tabularnewline
238 & 0.999999431531205 & 1.13693758943178e-06 & 5.6846879471589e-07 \tabularnewline
239 & 0.999998935865212 & 2.12826957585066e-06 & 1.06413478792533e-06 \tabularnewline
240 & 0.999998045997092 & 3.90800581629577e-06 & 1.95400290814788e-06 \tabularnewline
241 & 0.999996373143355 & 7.25371329047897e-06 & 3.62685664523949e-06 \tabularnewline
242 & 0.999993473458489 & 1.30530830213286e-05 & 6.52654151066429e-06 \tabularnewline
243 & 0.999988533576018 & 2.29328479638889e-05 & 1.14664239819444e-05 \tabularnewline
244 & 0.999979476225095 & 4.10475498092795e-05 & 2.05237749046397e-05 \tabularnewline
245 & 0.999962909452035 & 7.41810959305891e-05 & 3.70905479652946e-05 \tabularnewline
246 & 0.999932642556718 & 0.000134714886564272 & 6.73574432821362e-05 \tabularnewline
247 & 0.999902660939492 & 0.000194678121015059 & 9.73390605075293e-05 \tabularnewline
248 & 0.999823809224224 & 0.000352381551551342 & 0.000176190775775671 \tabularnewline
249 & 0.999779452410397 & 0.000441095179206614 & 0.000220547589603307 \tabularnewline
250 & 0.99989028096502 & 0.000219438069959326 & 0.000109719034979663 \tabularnewline
251 & 0.999815300803388 & 0.000369398393223833 & 0.000184699196611916 \tabularnewline
252 & 0.999711201538219 & 0.000577596923562812 & 0.000288798461781406 \tabularnewline
253 & 0.999473937993705 & 0.00105212401259048 & 0.00052606200629524 \tabularnewline
254 & 0.999145390549113 & 0.00170921890177476 & 0.000854609450887381 \tabularnewline
255 & 0.99873377218198 & 0.00253245563603971 & 0.00126622781801986 \tabularnewline
256 & 0.998169526515053 & 0.00366094696989497 & 0.00183047348494748 \tabularnewline
257 & 0.997424522241104 & 0.00515095551779136 & 0.00257547775889568 \tabularnewline
258 & 0.995681971132447 & 0.00863605773510577 & 0.00431802886755289 \tabularnewline
259 & 0.993270175021917 & 0.0134596499561666 & 0.00672982497808328 \tabularnewline
260 & 0.988933841279661 & 0.0221323174406781 & 0.0110661587203391 \tabularnewline
261 & 0.984587871899618 & 0.0308242562007633 & 0.0154121281003816 \tabularnewline
262 & 0.980851539696326 & 0.0382969206073484 & 0.0191484603036742 \tabularnewline
263 & 0.9766887027123 & 0.0466225945754002 & 0.0233112972877001 \tabularnewline
264 & 0.966982669643243 & 0.0660346607135131 & 0.0330173303567566 \tabularnewline
265 & 0.968470240371858 & 0.0630595192562845 & 0.0315297596281422 \tabularnewline
266 & 0.955888923097987 & 0.0882221538040266 & 0.0441110769020133 \tabularnewline
267 & 0.931418917567069 & 0.137162164865863 & 0.0685810824329314 \tabularnewline
268 & 0.896071581261913 & 0.207856837476173 & 0.103928418738087 \tabularnewline
269 & 0.956534599741281 & 0.0869308005174385 & 0.0434654002587193 \tabularnewline
270 & 0.931383374900983 & 0.137233250198034 & 0.068616625099017 \tabularnewline
271 & 0.895656430398754 & 0.208687139202492 & 0.104343569601246 \tabularnewline
272 & 0.848115861540253 & 0.303768276919493 & 0.151884138459747 \tabularnewline
273 & 0.830889133195401 & 0.338221733609199 & 0.169110866804599 \tabularnewline
274 & 0.834858265710256 & 0.330283468579487 & 0.165141734289744 \tabularnewline
275 & 0.921299704168556 & 0.157400591662889 & 0.0787002958314444 \tabularnewline
276 & 0.839132018459178 & 0.321735963081643 & 0.160867981540822 \tabularnewline
277 & 0.701303030350708 & 0.597393939298585 & 0.298696969649292 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160490&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]12[/C][C]0.246610757688904[/C][C]0.493221515377808[/C][C]0.753389242311096[/C][/ROW]
[ROW][C]13[/C][C]0.131010517347691[/C][C]0.262021034695381[/C][C]0.868989482652309[/C][/ROW]
[ROW][C]14[/C][C]0.0666771084632562[/C][C]0.133354216926512[/C][C]0.933322891536744[/C][/ROW]
[ROW][C]15[/C][C]0.0294702586889533[/C][C]0.0589405173779066[/C][C]0.970529741311047[/C][/ROW]
[ROW][C]16[/C][C]0.0134891566766808[/C][C]0.0269783133533616[/C][C]0.986510843323319[/C][/ROW]
[ROW][C]17[/C][C]0.0110293167321814[/C][C]0.0220586334643627[/C][C]0.988970683267819[/C][/ROW]
[ROW][C]18[/C][C]0.00471427769808176[/C][C]0.00942855539616352[/C][C]0.995285722301918[/C][/ROW]
[ROW][C]19[/C][C]0.0132636084202809[/C][C]0.0265272168405618[/C][C]0.986736391579719[/C][/ROW]
[ROW][C]20[/C][C]0.0109745040754726[/C][C]0.0219490081509452[/C][C]0.989025495924527[/C][/ROW]
[ROW][C]21[/C][C]0.160890993264941[/C][C]0.321781986529882[/C][C]0.839109006735059[/C][/ROW]
[ROW][C]22[/C][C]0.142251325843592[/C][C]0.284502651687185[/C][C]0.857748674156408[/C][/ROW]
[ROW][C]23[/C][C]0.101552789753392[/C][C]0.203105579506783[/C][C]0.898447210246608[/C][/ROW]
[ROW][C]24[/C][C]0.0686736082398706[/C][C]0.137347216479741[/C][C]0.931326391760129[/C][/ROW]
[ROW][C]25[/C][C]0.0452119029713634[/C][C]0.0904238059427267[/C][C]0.954788097028637[/C][/ROW]
[ROW][C]26[/C][C]0.038123901847684[/C][C]0.076247803695368[/C][C]0.961876098152316[/C][/ROW]
[ROW][C]27[/C][C]0.0334778134047676[/C][C]0.0669556268095351[/C][C]0.966522186595232[/C][/ROW]
[ROW][C]28[/C][C]0.0235182117835054[/C][C]0.0470364235670108[/C][C]0.976481788216495[/C][/ROW]
[ROW][C]29[/C][C]0.0239764963853795[/C][C]0.0479529927707591[/C][C]0.97602350361462[/C][/ROW]
[ROW][C]30[/C][C]0.0292846020615117[/C][C]0.0585692041230233[/C][C]0.970715397938488[/C][/ROW]
[ROW][C]31[/C][C]0.0301358117135973[/C][C]0.0602716234271946[/C][C]0.969864188286403[/C][/ROW]
[ROW][C]32[/C][C]0.020584970860183[/C][C]0.0411699417203659[/C][C]0.979415029139817[/C][/ROW]
[ROW][C]33[/C][C]0.0136130125371414[/C][C]0.0272260250742828[/C][C]0.986386987462859[/C][/ROW]
[ROW][C]34[/C][C]0.0115199791312943[/C][C]0.0230399582625885[/C][C]0.988480020868706[/C][/ROW]
[ROW][C]35[/C][C]0.0119353530345053[/C][C]0.0238707060690105[/C][C]0.988064646965495[/C][/ROW]
[ROW][C]36[/C][C]0.0105496075631161[/C][C]0.0210992151262322[/C][C]0.989450392436884[/C][/ROW]
[ROW][C]37[/C][C]0.00768987313126114[/C][C]0.0153797462625223[/C][C]0.992310126868739[/C][/ROW]
[ROW][C]38[/C][C]0.00513848327509467[/C][C]0.0102769665501893[/C][C]0.994861516724905[/C][/ROW]
[ROW][C]39[/C][C]0.00398494107503399[/C][C]0.00796988215006799[/C][C]0.996015058924966[/C][/ROW]
[ROW][C]40[/C][C]0.00827963470707911[/C][C]0.0165592694141582[/C][C]0.991720365292921[/C][/ROW]
[ROW][C]41[/C][C]0.00655948264137238[/C][C]0.0131189652827448[/C][C]0.993440517358628[/C][/ROW]
[ROW][C]42[/C][C]0.00558911110019691[/C][C]0.0111782222003938[/C][C]0.994410888899803[/C][/ROW]
[ROW][C]43[/C][C]0.00370751936787879[/C][C]0.00741503873575759[/C][C]0.996292480632121[/C][/ROW]
[ROW][C]44[/C][C]0.00407215552646889[/C][C]0.00814431105293778[/C][C]0.995927844473531[/C][/ROW]
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[ROW][C]185[/C][C]0.999999999999502[/C][C]9.95954625942325e-13[/C][C]4.97977312971163e-13[/C][/ROW]
[ROW][C]186[/C][C]0.999999999998985[/C][C]2.03066388877713e-12[/C][C]1.01533194438857e-12[/C][/ROW]
[ROW][C]187[/C][C]0.999999999998191[/C][C]3.61838498655837e-12[/C][C]1.80919249327919e-12[/C][/ROW]
[ROW][C]188[/C][C]0.999999999996398[/C][C]7.20350532195981e-12[/C][C]3.6017526609799e-12[/C][/ROW]
[ROW][C]189[/C][C]0.999999999994852[/C][C]1.02955068956696e-11[/C][C]5.14775344783481e-12[/C][/ROW]
[ROW][C]190[/C][C]0.99999999998978[/C][C]2.04401446755591e-11[/C][C]1.02200723377795e-11[/C][/ROW]
[ROW][C]191[/C][C]0.999999999989815[/C][C]2.03697798355771e-11[/C][C]1.01848899177886e-11[/C][/ROW]
[ROW][C]192[/C][C]0.999999999982501[/C][C]3.49986088533811e-11[/C][C]1.74993044266906e-11[/C][/ROW]
[ROW][C]193[/C][C]0.999999999969816[/C][C]6.03669744380155e-11[/C][C]3.01834872190078e-11[/C][/ROW]
[ROW][C]194[/C][C]0.99999999998289[/C][C]3.42204474534869e-11[/C][C]1.71102237267434e-11[/C][/ROW]
[ROW][C]195[/C][C]0.999999999966098[/C][C]6.78036585040327e-11[/C][C]3.39018292520164e-11[/C][/ROW]
[ROW][C]196[/C][C]0.999999999956231[/C][C]8.75387033267956e-11[/C][C]4.37693516633978e-11[/C][/ROW]
[ROW][C]197[/C][C]0.999999999941458[/C][C]1.1708300131865e-10[/C][C]5.8541500659325e-11[/C][/ROW]
[ROW][C]198[/C][C]0.999999999994391[/C][C]1.12184642075598e-11[/C][C]5.60923210377992e-12[/C][/ROW]
[ROW][C]199[/C][C]0.999999999993167[/C][C]1.36653927817379e-11[/C][C]6.83269639086895e-12[/C][/ROW]
[ROW][C]200[/C][C]0.999999999989844[/C][C]2.03126388701078e-11[/C][C]1.01563194350539e-11[/C][/ROW]
[ROW][C]201[/C][C]0.999999999982212[/C][C]3.55763876212185e-11[/C][C]1.77881938106093e-11[/C][/ROW]
[ROW][C]202[/C][C]0.999999999979237[/C][C]4.15261805323759e-11[/C][C]2.0763090266188e-11[/C][/ROW]
[ROW][C]203[/C][C]0.999999999958151[/C][C]8.36982474845468e-11[/C][C]4.18491237422734e-11[/C][/ROW]
[ROW][C]204[/C][C]0.999999999938118[/C][C]1.23764256147335e-10[/C][C]6.18821280736676e-11[/C][/ROW]
[ROW][C]205[/C][C]0.999999999895509[/C][C]2.0898195248059e-10[/C][C]1.04490976240295e-10[/C][/ROW]
[ROW][C]206[/C][C]0.999999999798822[/C][C]4.02355684098089e-10[/C][C]2.01177842049045e-10[/C][/ROW]
[ROW][C]207[/C][C]0.999999999684853[/C][C]6.30294825589703e-10[/C][C]3.15147412794852e-10[/C][/ROW]
[ROW][C]208[/C][C]0.999999999432161[/C][C]1.1356771236597e-09[/C][C]5.6783856182985e-10[/C][/ROW]
[ROW][C]209[/C][C]0.99999999923041[/C][C]1.53917893945612e-09[/C][C]7.69589469728062e-10[/C][/ROW]
[ROW][C]210[/C][C]0.999999999589576[/C][C]8.20848331264931e-10[/C][C]4.10424165632466e-10[/C][/ROW]
[ROW][C]211[/C][C]0.999999999313577[/C][C]1.37284531312375e-09[/C][C]6.86422656561873e-10[/C][/ROW]
[ROW][C]212[/C][C]0.999999998794317[/C][C]2.41136509045772e-09[/C][C]1.20568254522886e-09[/C][/ROW]
[ROW][C]213[/C][C]0.999999997655847[/C][C]4.68830643959715e-09[/C][C]2.34415321979858e-09[/C][/ROW]
[ROW][C]214[/C][C]0.999999996205192[/C][C]7.58961522968922e-09[/C][C]3.79480761484461e-09[/C][/ROW]
[ROW][C]215[/C][C]0.999999994447125[/C][C]1.11057509304474e-08[/C][C]5.5528754652237e-09[/C][/ROW]
[ROW][C]216[/C][C]0.999999993662856[/C][C]1.26742875253226e-08[/C][C]6.33714376266132e-09[/C][/ROW]
[ROW][C]217[/C][C]0.999999988064011[/C][C]2.3871978141574e-08[/C][C]1.1935989070787e-08[/C][/ROW]
[ROW][C]218[/C][C]0.999999994712886[/C][C]1.05742273923731e-08[/C][C]5.28711369618655e-09[/C][/ROW]
[ROW][C]219[/C][C]0.999999990914206[/C][C]1.81715889500524e-08[/C][C]9.08579447502622e-09[/C][/ROW]
[ROW][C]220[/C][C]0.999999984906878[/C][C]3.01862444768052e-08[/C][C]1.50931222384026e-08[/C][/ROW]
[ROW][C]221[/C][C]0.999999978834506[/C][C]4.23309870586381e-08[/C][C]2.11654935293191e-08[/C][/ROW]
[ROW][C]222[/C][C]0.999999977764471[/C][C]4.44710589422483e-08[/C][C]2.22355294711242e-08[/C][/ROW]
[ROW][C]223[/C][C]0.999999967277878[/C][C]6.5444244076843e-08[/C][C]3.27221220384215e-08[/C][/ROW]
[ROW][C]224[/C][C]0.999999938646307[/C][C]1.22707385623197e-07[/C][C]6.13536928115985e-08[/C][/ROW]
[ROW][C]225[/C][C]0.999999909842435[/C][C]1.80315130839906e-07[/C][C]9.0157565419953e-08[/C][/ROW]
[ROW][C]226[/C][C]0.999999919992056[/C][C]1.60015888576839e-07[/C][C]8.00079442884197e-08[/C][/ROW]
[ROW][C]227[/C][C]0.999999938539909[/C][C]1.22920182217059e-07[/C][C]6.14600911085295e-08[/C][/ROW]
[ROW][C]228[/C][C]0.99999987951462[/C][C]2.40970759770133e-07[/C][C]1.20485379885066e-07[/C][/ROW]
[ROW][C]229[/C][C]0.999999848626797[/C][C]3.02746405221623e-07[/C][C]1.51373202610811e-07[/C][/ROW]
[ROW][C]230[/C][C]0.999999972685724[/C][C]5.46285517564703e-08[/C][C]2.73142758782352e-08[/C][/ROW]
[ROW][C]231[/C][C]0.999999952356593[/C][C]9.52868140266402e-08[/C][C]4.76434070133201e-08[/C][/ROW]
[ROW][C]232[/C][C]0.999999903427688[/C][C]1.9314462484659e-07[/C][C]9.65723124232952e-08[/C][/ROW]
[ROW][C]233[/C][C]0.99999989031732[/C][C]2.19365359554777e-07[/C][C]1.09682679777389e-07[/C][/ROW]
[ROW][C]234[/C][C]0.999999783512619[/C][C]4.32974762148537e-07[/C][C]2.16487381074268e-07[/C][/ROW]
[ROW][C]235[/C][C]0.999999604530004[/C][C]7.90939992504704e-07[/C][C]3.95469996252352e-07[/C][/ROW]
[ROW][C]236[/C][C]0.999999241476269[/C][C]1.51704746299831e-06[/C][C]7.58523731499155e-07[/C][/ROW]
[ROW][C]237[/C][C]0.999999349405781[/C][C]1.30118843892535e-06[/C][C]6.50594219462674e-07[/C][/ROW]
[ROW][C]238[/C][C]0.999999431531205[/C][C]1.13693758943178e-06[/C][C]5.6846879471589e-07[/C][/ROW]
[ROW][C]239[/C][C]0.999998935865212[/C][C]2.12826957585066e-06[/C][C]1.06413478792533e-06[/C][/ROW]
[ROW][C]240[/C][C]0.999998045997092[/C][C]3.90800581629577e-06[/C][C]1.95400290814788e-06[/C][/ROW]
[ROW][C]241[/C][C]0.999996373143355[/C][C]7.25371329047897e-06[/C][C]3.62685664523949e-06[/C][/ROW]
[ROW][C]242[/C][C]0.999993473458489[/C][C]1.30530830213286e-05[/C][C]6.52654151066429e-06[/C][/ROW]
[ROW][C]243[/C][C]0.999988533576018[/C][C]2.29328479638889e-05[/C][C]1.14664239819444e-05[/C][/ROW]
[ROW][C]244[/C][C]0.999979476225095[/C][C]4.10475498092795e-05[/C][C]2.05237749046397e-05[/C][/ROW]
[ROW][C]245[/C][C]0.999962909452035[/C][C]7.41810959305891e-05[/C][C]3.70905479652946e-05[/C][/ROW]
[ROW][C]246[/C][C]0.999932642556718[/C][C]0.000134714886564272[/C][C]6.73574432821362e-05[/C][/ROW]
[ROW][C]247[/C][C]0.999902660939492[/C][C]0.000194678121015059[/C][C]9.73390605075293e-05[/C][/ROW]
[ROW][C]248[/C][C]0.999823809224224[/C][C]0.000352381551551342[/C][C]0.000176190775775671[/C][/ROW]
[ROW][C]249[/C][C]0.999779452410397[/C][C]0.000441095179206614[/C][C]0.000220547589603307[/C][/ROW]
[ROW][C]250[/C][C]0.99989028096502[/C][C]0.000219438069959326[/C][C]0.000109719034979663[/C][/ROW]
[ROW][C]251[/C][C]0.999815300803388[/C][C]0.000369398393223833[/C][C]0.000184699196611916[/C][/ROW]
[ROW][C]252[/C][C]0.999711201538219[/C][C]0.000577596923562812[/C][C]0.000288798461781406[/C][/ROW]
[ROW][C]253[/C][C]0.999473937993705[/C][C]0.00105212401259048[/C][C]0.00052606200629524[/C][/ROW]
[ROW][C]254[/C][C]0.999145390549113[/C][C]0.00170921890177476[/C][C]0.000854609450887381[/C][/ROW]
[ROW][C]255[/C][C]0.99873377218198[/C][C]0.00253245563603971[/C][C]0.00126622781801986[/C][/ROW]
[ROW][C]256[/C][C]0.998169526515053[/C][C]0.00366094696989497[/C][C]0.00183047348494748[/C][/ROW]
[ROW][C]257[/C][C]0.997424522241104[/C][C]0.00515095551779136[/C][C]0.00257547775889568[/C][/ROW]
[ROW][C]258[/C][C]0.995681971132447[/C][C]0.00863605773510577[/C][C]0.00431802886755289[/C][/ROW]
[ROW][C]259[/C][C]0.993270175021917[/C][C]0.0134596499561666[/C][C]0.00672982497808328[/C][/ROW]
[ROW][C]260[/C][C]0.988933841279661[/C][C]0.0221323174406781[/C][C]0.0110661587203391[/C][/ROW]
[ROW][C]261[/C][C]0.984587871899618[/C][C]0.0308242562007633[/C][C]0.0154121281003816[/C][/ROW]
[ROW][C]262[/C][C]0.980851539696326[/C][C]0.0382969206073484[/C][C]0.0191484603036742[/C][/ROW]
[ROW][C]263[/C][C]0.9766887027123[/C][C]0.0466225945754002[/C][C]0.0233112972877001[/C][/ROW]
[ROW][C]264[/C][C]0.966982669643243[/C][C]0.0660346607135131[/C][C]0.0330173303567566[/C][/ROW]
[ROW][C]265[/C][C]0.968470240371858[/C][C]0.0630595192562845[/C][C]0.0315297596281422[/C][/ROW]
[ROW][C]266[/C][C]0.955888923097987[/C][C]0.0882221538040266[/C][C]0.0441110769020133[/C][/ROW]
[ROW][C]267[/C][C]0.931418917567069[/C][C]0.137162164865863[/C][C]0.0685810824329314[/C][/ROW]
[ROW][C]268[/C][C]0.896071581261913[/C][C]0.207856837476173[/C][C]0.103928418738087[/C][/ROW]
[ROW][C]269[/C][C]0.956534599741281[/C][C]0.0869308005174385[/C][C]0.0434654002587193[/C][/ROW]
[ROW][C]270[/C][C]0.931383374900983[/C][C]0.137233250198034[/C][C]0.068616625099017[/C][/ROW]
[ROW][C]271[/C][C]0.895656430398754[/C][C]0.208687139202492[/C][C]0.104343569601246[/C][/ROW]
[ROW][C]272[/C][C]0.848115861540253[/C][C]0.303768276919493[/C][C]0.151884138459747[/C][/ROW]
[ROW][C]273[/C][C]0.830889133195401[/C][C]0.338221733609199[/C][C]0.169110866804599[/C][/ROW]
[ROW][C]274[/C][C]0.834858265710256[/C][C]0.330283468579487[/C][C]0.165141734289744[/C][/ROW]
[ROW][C]275[/C][C]0.921299704168556[/C][C]0.157400591662889[/C][C]0.0787002958314444[/C][/ROW]
[ROW][C]276[/C][C]0.839132018459178[/C][C]0.321735963081643[/C][C]0.160867981540822[/C][/ROW]
[ROW][C]277[/C][C]0.701303030350708[/C][C]0.597393939298585[/C][C]0.298696969649292[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160490&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160490&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.2466107576889040.4932215153778080.753389242311096
130.1310105173476910.2620210346953810.868989482652309
140.06667710846325620.1333542169265120.933322891536744
150.02947025868895330.05894051737790660.970529741311047
160.01348915667668080.02697831335336160.986510843323319
170.01102931673218140.02205863346436270.988970683267819
180.004714277698081760.009428555396163520.995285722301918
190.01326360842028090.02652721684056180.986736391579719
200.01097450407547260.02194900815094520.989025495924527
210.1608909932649410.3217819865298820.839109006735059
220.1422513258435920.2845026516871850.857748674156408
230.1015527897533920.2031055795067830.898447210246608
240.06867360823987060.1373472164797410.931326391760129
250.04521190297136340.09042380594272670.954788097028637
260.0381239018476840.0762478036953680.961876098152316
270.03347781340476760.06695562680953510.966522186595232
280.02351821178350540.04703642356701080.976481788216495
290.02397649638537950.04795299277075910.97602350361462
300.02928460206151170.05856920412302330.970715397938488
310.03013581171359730.06027162342719460.969864188286403
320.0205849708601830.04116994172036590.979415029139817
330.01361301253714140.02722602507428280.986386987462859
340.01151997913129430.02303995826258850.988480020868706
350.01193535303450530.02387070606901050.988064646965495
360.01054960756311610.02109921512623220.989450392436884
370.007689873131261140.01537974626252230.992310126868739
380.005138483275094670.01027696655018930.994861516724905
390.003984941075033990.007969882150067990.996015058924966
400.008279634707079110.01655926941415820.991720365292921
410.006559482641372380.01311896528274480.993440517358628
420.005589111100196910.01117822220039380.994410888899803
430.003707519367878790.007415038735757590.996292480632121
440.004072155526468890.008144311052937780.995927844473531
450.005981825661380960.01196365132276190.994018174338619
460.004285966128945680.008571932257891360.995714033871054
470.003020918199918640.006041836399837280.996979081800081
480.00255641796267430.005112835925348610.997443582037326
490.001700477476022510.003400954952045010.998299522523977
500.002307879210271010.004615758420542010.997692120789729
510.01144808830863730.02289617661727460.988551911691363
520.008474273659422050.01694854731884410.991525726340578
530.006726309588713470.01345261917742690.993273690411287
540.0162234343214550.032446868642910.983776565678545
550.01516096348382780.03032192696765550.984839036516172
560.01167366907581420.02334733815162840.988326330924186
570.008594574940126190.01718914988025240.991405425059874
580.009998517366066380.01999703473213280.990001482633934
590.007613105764615770.01522621152923150.992386894235384
600.005464670079344380.01092934015868880.994535329920656
610.004154112047550340.008308224095100680.99584588795245
620.006850196847854270.01370039369570850.993149803152146
630.01281777721920130.02563555443840260.987182222780799
640.009887451309551740.01977490261910350.990112548690448
650.009905543129323860.01981108625864770.990094456870676
660.01006077262612580.02012154525225170.989939227373874
670.007793851464952070.01558770292990410.992206148535048
680.009303016377515730.01860603275503150.990696983622484
690.009933715998169390.01986743199633880.990066284001831
700.00856787779945150.0171357555989030.991432122200549
710.006516778349130540.01303355669826110.993483221650869
720.004862321542729890.009724643085459780.99513767845727
730.004742876324206950.00948575264841390.995257123675793
740.006630938697598780.01326187739519760.993369061302401
750.00601556973252350.0120311394650470.993984430267477
760.004486432795503690.008972865591007380.995513567204496
770.003943785971756920.007887571943513840.996056214028243
780.003150788972419310.006301577944838620.996849211027581
790.002431698507778630.004863397015557260.997568301492221
800.00196049911356160.00392099822712320.998039500886438
810.001409750920309570.002819501840619140.99859024907969
820.001355868597927870.002711737195855740.998644131402072
830.0009887103296570920.001977420659314180.999011289670343
840.0007117033484030920.001423406696806180.999288296651597
850.9901262151676670.01974756966466680.00987378483233339
860.9885130584656850.02297388306863020.0114869415343151
870.9862024371916420.02759512561671560.0137975628083578
880.9831799312452560.03364013750948760.0168200687547438
890.9790635936048040.04187281279039120.0209364063951956
900.976337817032090.04732436593581930.0236621829679097
910.9724338004845960.05513239903080690.0275661995154035
920.9738773976671560.05224520466568820.0261226023328441
930.9729488918464460.05410221630710890.0270511081535544
940.9671209867100780.06575802657984450.0328790132899223
950.9655660266232160.06886794675356890.0344339733767844
960.9633423571408020.07331528571839670.0366576428591984
970.9663738441700930.06725231165981440.0336261558299072
980.9633410056988350.07331798860232990.036658994301165
990.9631701333165840.07365973336683150.0368298666834157
1000.9555552134452470.0888895731095060.044444786554753
1010.9464729794790650.1070540410418690.0535270205209347
1020.9484993759904110.1030012480191780.051500624009589
1030.9393055057678430.1213889884643140.060694494232157
1040.9491482783443550.101703443311290.0508517216556449
1050.9572226231024960.08555475379500880.0427773768975044
1060.9699400238318650.06011995233627020.0300599761681351
1070.9681119675375490.0637760649249020.031888032462451
1080.963263864348130.07347227130373890.0367361356518695
1090.9636362605152790.07272747896944240.0363637394847212
1100.9572991621597410.08540167568051870.0427008378402593
1110.954478103242490.09104379351502020.0455218967575101
1120.9491411289270510.1017177421458980.0508588710729488
1130.9394646202355940.1210707595288110.0605353797644057
1140.9333241806901870.1333516386196270.0666758193098135
1150.9413861632278440.1172276735443120.0586138367721561
1160.9366442839719710.1267114320560590.0633557160280294
1170.9278090777250790.1443818445498420.072190922274921
1180.9181715500232120.1636568999535750.0818284499767875
1190.9999929050801551.41898396892685e-057.09491984463427e-06
1200.999989893916382.02121672405975e-051.01060836202988e-05
1210.9999880522316182.38955367644601e-051.19477683822301e-05
1220.9999840764280763.18471438472945e-051.59235719236473e-05
1230.9999792737977084.14524045845139e-052.07262022922569e-05
1240.9999999761985564.76028886590195e-082.38014443295097e-08
1250.9999999872228812.55542389984992e-081.27771194992496e-08
1260.9999999794642994.10714026668367e-082.05357013334183e-08
1270.9999999745687295.08625417362717e-082.54312708681359e-08
1280.9999999613979367.72041272658559e-083.8602063632928e-08
1290.9999999379758331.24048334498249e-076.20241672491244e-08
1300.9999999021573551.95685290386361e-079.78426451931807e-08
1310.9999998455906733.08818653913011e-071.54409326956506e-07
1320.9999998362275543.2754489220243e-071.63772446101215e-07
1330.9999997459843615.08031277551428e-072.54015638775714e-07
1340.9999997481977575.03604486125207e-072.51802243062604e-07
1350.9999998888214222.22357155904637e-071.11178577952319e-07
1360.9999998606234782.78753044791763e-071.39376522395881e-07
1370.9999997816059864.36788027900611e-072.18394013950306e-07
1380.9999999041878231.9162435467522e-079.58121773376101e-08
1390.9999999193966511.61206697091476e-078.0603348545738e-08
1400.999999874946162.50107679312284e-071.25053839656142e-07
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1440.9999996033841237.93231754257318e-073.96615877128659e-07
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1460.9999992988252331.40234953497188e-067.01174767485939e-07
1470.9999997143230495.71353902247213e-072.85676951123607e-07
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1500.9999998042572863.91485427273801e-071.957427136369e-07
1510.9999998393611843.21277631152987e-071.60638815576493e-07
1520.9999998890954952.21809009412829e-071.10904504706415e-07
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1540.9999999325519081.34896183864496e-076.74480919322478e-08
1550.9999998974346872.05130626002359e-071.0256531300118e-07
1560.9999999965597056.88059051161571e-093.44029525580785e-09
1570.9999999945204571.09590855220979e-085.47954276104897e-09
1580.9999999914455911.71088179638036e-088.55440898190178e-09
1590.9999999866959482.66081048787347e-081.33040524393674e-08
1600.9999999799709834.00580347003071e-082.00290173501536e-08
1610.9999999676712326.46575362817365e-083.23287681408682e-08
1620.9999999999890782.18439843066268e-111.09219921533134e-11
1630.9999999999797554.0490688968506e-112.0245344484253e-11
1640.9999999999691296.17427881971764e-113.08713940985882e-11
1650.9999999999563538.72932497428081e-114.36466248714041e-11
1660.9999999999624377.51252161395655e-113.75626080697827e-11
1670.9999999999613367.73285202651969e-113.86642601325984e-11
1680.9999999999731165.37678033768978e-112.68839016884489e-11
1690.9999999999599348.01328977346414e-114.00664488673207e-11
1700.9999999999941711.16581899645036e-115.8290949822518e-12
1710.9999999999928041.43920113356161e-117.19600566780804e-12
1720.9999999999868382.63243478649933e-111.31621739324967e-11
1730.9999999999755284.89449353220654e-112.44724676610327e-11
1740.9999999999587958.24106747595767e-114.12053373797884e-11
1750.9999999999973015.39824835169176e-122.69912417584588e-12
1760.9999999999972745.45244288115346e-122.72622144057673e-12
1770.9999999999993891.22252451710433e-126.11262258552165e-13
1780.9999999999989122.1764155482128e-121.0882077741064e-12
1790.9999999999997435.13482097062984e-132.56741048531492e-13
1800.9999999999995538.93396189081892e-134.46698094540946e-13
1810.999999999999321.36094377431801e-126.80471887159004e-13
1820.9999999999995459.10584463229591e-134.55292231614795e-13
1830.9999999999990751.84929974828222e-129.24649874141109e-13
1840.9999999999982723.45591589624522e-121.72795794812261e-12
1850.9999999999995029.95954625942325e-134.97977312971163e-13
1860.9999999999989852.03066388877713e-121.01533194438857e-12
1870.9999999999981913.61838498655837e-121.80919249327919e-12
1880.9999999999963987.20350532195981e-123.6017526609799e-12
1890.9999999999948521.02955068956696e-115.14775344783481e-12
1900.999999999989782.04401446755591e-111.02200723377795e-11
1910.9999999999898152.03697798355771e-111.01848899177886e-11
1920.9999999999825013.49986088533811e-111.74993044266906e-11
1930.9999999999698166.03669744380155e-113.01834872190078e-11
1940.999999999982893.42204474534869e-111.71102237267434e-11
1950.9999999999660986.78036585040327e-113.39018292520164e-11
1960.9999999999562318.75387033267956e-114.37693516633978e-11
1970.9999999999414581.1708300131865e-105.8541500659325e-11
1980.9999999999943911.12184642075598e-115.60923210377992e-12
1990.9999999999931671.36653927817379e-116.83269639086895e-12
2000.9999999999898442.03126388701078e-111.01563194350539e-11
2010.9999999999822123.55763876212185e-111.77881938106093e-11
2020.9999999999792374.15261805323759e-112.0763090266188e-11
2030.9999999999581518.36982474845468e-114.18491237422734e-11
2040.9999999999381181.23764256147335e-106.18821280736676e-11
2050.9999999998955092.0898195248059e-101.04490976240295e-10
2060.9999999997988224.02355684098089e-102.01177842049045e-10
2070.9999999996848536.30294825589703e-103.15147412794852e-10
2080.9999999994321611.1356771236597e-095.6783856182985e-10
2090.999999999230411.53917893945612e-097.69589469728062e-10
2100.9999999995895768.20848331264931e-104.10424165632466e-10
2110.9999999993135771.37284531312375e-096.86422656561873e-10
2120.9999999987943172.41136509045772e-091.20568254522886e-09
2130.9999999976558474.68830643959715e-092.34415321979858e-09
2140.9999999962051927.58961522968922e-093.79480761484461e-09
2150.9999999944471251.11057509304474e-085.5528754652237e-09
2160.9999999936628561.26742875253226e-086.33714376266132e-09
2170.9999999880640112.3871978141574e-081.1935989070787e-08
2180.9999999947128861.05742273923731e-085.28711369618655e-09
2190.9999999909142061.81715889500524e-089.08579447502622e-09
2200.9999999849068783.01862444768052e-081.50931222384026e-08
2210.9999999788345064.23309870586381e-082.11654935293191e-08
2220.9999999777644714.44710589422483e-082.22355294711242e-08
2230.9999999672778786.5444244076843e-083.27221220384215e-08
2240.9999999386463071.22707385623197e-076.13536928115985e-08
2250.9999999098424351.80315130839906e-079.0157565419953e-08
2260.9999999199920561.60015888576839e-078.00079442884197e-08
2270.9999999385399091.22920182217059e-076.14600911085295e-08
2280.999999879514622.40970759770133e-071.20485379885066e-07
2290.9999998486267973.02746405221623e-071.51373202610811e-07
2300.9999999726857245.46285517564703e-082.73142758782352e-08
2310.9999999523565939.52868140266402e-084.76434070133201e-08
2320.9999999034276881.9314462484659e-079.65723124232952e-08
2330.999999890317322.19365359554777e-071.09682679777389e-07
2340.9999997835126194.32974762148537e-072.16487381074268e-07
2350.9999996045300047.90939992504704e-073.95469996252352e-07
2360.9999992414762691.51704746299831e-067.58523731499155e-07
2370.9999993494057811.30118843892535e-066.50594219462674e-07
2380.9999994315312051.13693758943178e-065.6846879471589e-07
2390.9999989358652122.12826957585066e-061.06413478792533e-06
2400.9999980459970923.90800581629577e-061.95400290814788e-06
2410.9999963731433557.25371329047897e-063.62685664523949e-06
2420.9999934734584891.30530830213286e-056.52654151066429e-06
2430.9999885335760182.29328479638889e-051.14664239819444e-05
2440.9999794762250954.10475498092795e-052.05237749046397e-05
2450.9999629094520357.41810959305891e-053.70905479652946e-05
2460.9999326425567180.0001347148865642726.73574432821362e-05
2470.9999026609394920.0001946781210150599.73390605075293e-05
2480.9998238092242240.0003523815515513420.000176190775775671
2490.9997794524103970.0004410951792066140.000220547589603307
2500.999890280965020.0002194380699593260.000109719034979663
2510.9998153008033880.0003693983932238330.000184699196611916
2520.9997112015382190.0005775969235628120.000288798461781406
2530.9994739379937050.001052124012590480.00052606200629524
2540.9991453905491130.001709218901774760.000854609450887381
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2560.9981695265150530.003660946969894970.00183047348494748
2570.9974245222411040.005150955517791360.00257547775889568
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Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1610.605263157894737NOK
5% type I error level2110.793233082706767NOK
10% type I error level2380.894736842105263NOK

\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 & 161 & 0.605263157894737 & NOK \tabularnewline
5% type I error level & 211 & 0.793233082706767 & NOK \tabularnewline
10% type I error level & 238 & 0.894736842105263 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160490&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]161[/C][C]0.605263157894737[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]211[/C][C]0.793233082706767[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]238[/C][C]0.894736842105263[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160490&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160490&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1610.605263157894737NOK
5% type I error level2110.793233082706767NOK
10% type I error level2380.894736842105263NOK


Figures (Output of Computation)

Figure 1
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Figure 10
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Input Parameters & R Code

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')
}