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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 computationSun, 18 Dec 2011 04:08:30 -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/18/t1324199337tw5qtde0qgsjzvp.htm/, Retrieved Sun, 05 May 2024 16:21:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156627, Retrieved Sun, 05 May 2024 16:21:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2011-12-18 09:08:30] [fc803cbaf0eb62e67cf40ee2236375c4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
115	112285	24188	146283	144
109	84786	18273	98364	103
146	83123	14130	86146	98
116	101193	32287	96933	135
68	38361	8654	79234	61
101	68504	9245	42551	39
96	119182	33251	195663	150
67	22807	1271	6853	5
44	17140	5279	21529	28
100	116174	27101	95757	84
93	57635	16373	85584	80
140	66198	19716	143983	130
166	71701	17753	75851	82
99	57793	9028	59238	60
139	80444	18653	93163	131
130	53855	8828	96037	84
181	97668	29498	151511	140
116	133824	27563	136368	151
116	101481	18293	112642	91
88	99645	22530	94728	138
139	114789	15977	105499	150
135	99052	35082	121527	124
108	67654	16116	127766	119
89	65553	15849	98958	73
156	97500	16026	77900	110
129	69112	26569	85646	123
118	82753	24785	98579	90
118	85323	17569	130767	116
125	72654	23825	131741	113
95	30727	7869	53907	56
126	77873	14975	178812	115
135	117478	37791	146761	119
154	74007	9605	82036	129
165	90183	27295	163253	127
113	61542	2746	27032	27
127	101494	34461	171975	175
52	27570	8098	65990	35
121	55813	4787	86572	64
136	79215	24919	159676	96
0	1423	603	1929	0
108	55461	16329	85371	84
46	31081	12558	58391	41
54	22996	7784	31580	47
124	83122	28522	136815	126
115	70106	22265	120642	105
128	60578	14459	69107	80
80	39992	14526	50495	70
97	79892	22240	108016	73
104	49810	11802	46341	57
59	71570	7623	78348	40
125	100708	11912	79336	68
82	33032	7935	56968	21
149	82875	18220	93176	127
149	139077	19199	161632	154
122	71595	19918	87850	116
118	72260	21884	127969	102
12	5950	2694	15049	7
144	115762	15808	155135	148
67	32551	3597	25109	21
52	31701	5296	45824	35
108	80670	25239	102996	112
166	143558	29801	160604	137
80	117105	18450	158051	135
60	23789	7132	44547	26
107	120733	34861	162647	230
127	105195	35940	174141	181
107	73107	16688	60622	71
146	132068	24683	179566	147
84	149193	46230	184301	190
141	46821	10387	75661	64
123	87011	21436	96144	105
111	95260	30546	129847	107
98	55183	19746	117286	94
105	106671	15977	71180	116
135	73511	22583	109377	106
107	92945	17274	85298	143
85	78664	16469	73631	81
155	70054	14251	86767	89
88	22618	3007	23824	26
155	74011	16851	93487	84
104	83737	21113	82981	113
132	69094	17401	73815	120
127	93133	23958	94552	110
108	95536	23567	132190	134
129	225920	13065	128754	54
116	62133	15358	66363	96
122	61370	14587	67808	78
85	43836	12770	61724	51
147	106117	24021	131722	121
99	38692	9648	68580	38
87	84651	20537	106175	145
28	56622	7905	55792	59
90	15986	4527	25157	27
109	95364	30495	76669	91
78	26706	7117	57283	48
111	89691	17719	105805	68
158	67267	27056	129484	58
141	126846	33473	72413	150
122	41140	9758	87831	74
124	102860	21115	96971	181
93	51715	7236	71299	65
124	55801	13790	77494	97
112	111813	32902	120336	121
108	120293	25131	93913	99
99	138599	30910	136048	152
117	161647	35947	181248	188
199	115929	29848	146123	138
78	24266	6943	32036	40
91	162901	42705	186646	254
158	109825	31808	102255	87
126	129838	26675	168237	178
122	37510	8435	64219	51
71	43750	7409	19630	49
75	40652	14993	76825	73
115	87771	36867	115338	176
119	85872	33835	109427	94
124	89275	24164	118168	120
72	44418	12607	84845	66
91	192565	22609	153197	56
45	35232	5892	29877	39
78	40909	17014	63506	66
39	13294	5394	22445	27
68	32387	9178	47695	65
119	140867	6440	68370	58
117	120662	21916	146304	98
39	21233	4011	38233	25
50	44332	5818	42071	26
88	61056	18647	50517	77
155	101338	20556	103950	130
0	1168	238	5841	11
36	13497	70	2341	2
123	65567	22392	84396	101
32	25162	3913	24610	31
99	32334	12237	35753	36
136	40735	8388	55515	120
117	91413	22120	209056	195
0	855	338	6622	4
88	97068	11727	115814	89
39	44339	3704	11609	24
25	14116	3988	13155	39
52	10288	3030	18274	14
75	65622	13520	72875	78
71	16563	1421	10112	15
124	76643	20923	142775	106
151	110681	20237	68847	83
71	29011	3219	17659	24
145	92696	3769	20112	37
87	94785	12252	61023	77
27	8773	1888	13983	16
131	83209	14497	65176	56
162	93815	28864	132432	132
165	86687	21721	112494	144
54	34553	4821	45109	40
159	105547	33644	170875	153
147	103487	15923	180759	143
170	213688	42935	214921	220
119	71220	18864	100226	79
49	23517	4977	32043	50
104	56926	7785	54454	39
120	91721	17939	78876	95
150	115168	23436	170745	169
112	111194	325	6940	12
59	51009	13539	49025	63
136	135777	34538	122037	134
107	51513	12198	53782	69
130	74163	26924	127748	119
115	51633	12716	86839	119
107	75345	8172	44830	75
75	33416	10855	77395	63
71	83305	11932	89324	55
120	98952	14300	103300	103
116	102372	25515	112283	197
79	37238	2805	10901	16
150	103772	29402	120691	140
156	123969	16440	58106	89
51	27142	11221	57140	40
118	135400	28732	122422	125
71	21399	5250	25899	21
144	130115	28608	139296	167
47	24874	8092	52678	32
28	34988	4473	23853	36
68	45549	1572	17306	13
0	6023	2065	7953	5
110	64466	14817	89455	96
147	54990	16714	147866	151
0	1644	556	4245	6
15	6179	2089	21509	13
4	3926	2658	7670	3
64	32755	10695	66675	57
111	34777	1669	14336	23
85	73224	16267	53608	61
68	27114	7768	30059	21
40	20760	7252	29668	43
80	37636	6387	22097	20
88	65461	18715	96841	82
48	30080	7936	41907	90
76	24094	8643	27080	25
51	69008	7294	35885	60
67	54968	4570	41247	61
59	46090	7185	28313	85
61	27507	10058	36845	43
76	10672	2342	16548	25
60	34029	8509	36134	41
68	46300	13275	55764	26
71	24760	6816	28910	38
76	18779	1930	13339	12
62	21280	8086	25319	29
61	40662	10737	66956	49
67	28987	8033	47487	46
88	22827	7058	52785	41
30	18513	6782	44683	31
64	30594	5401	35619	41
68	24006	6521	21920	26
64	27913	10856	45608	23
91	42744	2154	7721	14
88	12934	6117	20634	16
52	22574	5238	29788	25
49	41385	4820	31931	21
62	18653	5615	37754	32
61	18472	4272	32505	9
76	30976	8702	40557	35
88	63339	15340	94238	42
66	25568	8030	44197	68
71	33747	9526	43228	32
68	4154	1278	4103	6
48	19474	4236	44144	68
25	35130	3023	32868	33
68	39067	7196	27640	84
41	13310	3394	14063	46
90	65892	6371	28990	30
66	4143	1574	4694	0
54	28579	9620	42648	36
59	51776	6978	64329	47
60	21152	4911	21928	20
77	38084	8645	25836	50
68	27717	8987	22779	30
72	32928	5544	40820	30
67	11342	3083	27530	34
64	19499	6909	32378	33
63	16380	3189	10824	34
59	36874	6745	39613	37
84	48259	16724	60865	83
64	16734	4850	19787	32
56	28207	7025	20107	30
54	30143	6047	36605	43
67	41369	7377	40961	41
58	45833	9078	48231	51
59	29156	4605	39725	19
40	35944	3238	21455	37
22	36278	8100	23430	33
83	45588	9653	62991	41
81	45097	8914	49363	54
2	3895	786	9604	14
72	28394	6700	24552	25
61	18632	5788	31493	25
15	2325	593	3439	8
32	25139	4506	19555	26
62	27975	6382	21228	20
58	14483	5621	23177	11
36	13127	3997	22094	14
59	5839	520	2342	3
68	24069	8891	38798	40
21	3738	999	3255	5
55	18625	7067	24261	38
54	36341	4639	18511	32
55	24548	5654	40798	41
72	21792	6928	28893	46
41	26263	1514	21425	47
61	23686	9238	50276	37
67	49303	8204	37643	51
76	25659	5926	30377	49
64	28904	5785	27126	21
3	2781	4	13	1
63	29236	5930	42097	44
40	19546	3710	24451	26
69	22818	705	14335	21
48	32689	443	5084	4
8	5752	2416	9927	10
52	22197	7747	43527	43
66	20055	5432	27184	34
76	25272	4913	21610	32
43	82206	2650	20484	20
39	32073	2370	20156	34
14	5444	775	6012	6
61	20154	5576	18475	12
71	36944	1352	12645	24
44	8019	3080	11017	16
60	30884	10205	37623	72
64	19540	6095	35873	27

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 8 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156627&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]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156627&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156627&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 time8 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.






Multiple Linear Regression - Estimated Regression Equation
totsize[t] = -568.514642807139 + 228.772744015779feedback_messages[t] + 1.07266908877584totrevisions[t] + 0.264028006359449totseconds[t] + 94.6321759127072`tothyperlinks `[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
totsize[t] =  -568.514642807139 +  228.772744015779feedback_messages[t] +  1.07266908877584totrevisions[t] +  0.264028006359449totseconds[t] +  94.6321759127072`tothyperlinks
`[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156627&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]totsize[t] =  -568.514642807139 +  228.772744015779feedback_messages[t] +  1.07266908877584totrevisions[t] +  0.264028006359449totseconds[t] +  94.6321759127072`tothyperlinks
`[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156627&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156627&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] = -568.514642807139 + 228.772744015779feedback_messages[t] + 1.07266908877584totrevisions[t] + 0.264028006359449totseconds[t] + 94.6321759127072`tothyperlinks `[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-568.5146428071392971.371393-0.19130.8484030.424202
feedback_messages228.77274401577946.5373044.91591e-061e-06
totrevisions1.072669088775840.2867093.74130.0002210.000111
totseconds0.2640280063594490.0615544.28932.5e-051.2e-05
`tothyperlinks `94.632175912707259.8202681.58190.1147760.057388

\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) & -568.514642807139 & 2971.371393 & -0.1913 & 0.848403 & 0.424202 \tabularnewline
feedback_messages & 228.772744015779 & 46.537304 & 4.9159 & 1e-06 & 1e-06 \tabularnewline
totrevisions & 1.07266908877584 & 0.286709 & 3.7413 & 0.000221 & 0.000111 \tabularnewline
totseconds & 0.264028006359449 & 0.061554 & 4.2893 & 2.5e-05 & 1.2e-05 \tabularnewline
`tothyperlinks
` & 94.6321759127072 & 59.820268 & 1.5819 & 0.114776 & 0.057388 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156627&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]-568.514642807139[/C][C]2971.371393[/C][C]-0.1913[/C][C]0.848403[/C][C]0.424202[/C][/ROW]
[ROW][C]feedback_messages[/C][C]228.772744015779[/C][C]46.537304[/C][C]4.9159[/C][C]1e-06[/C][C]1e-06[/C][/ROW]
[ROW][C]totrevisions[/C][C]1.07266908877584[/C][C]0.286709[/C][C]3.7413[/C][C]0.000221[/C][C]0.000111[/C][/ROW]
[ROW][C]totseconds[/C][C]0.264028006359449[/C][C]0.061554[/C][C]4.2893[/C][C]2.5e-05[/C][C]1.2e-05[/C][/ROW]
[ROW][C]`tothyperlinks
`[/C][C]94.6321759127072[/C][C]59.820268[/C][C]1.5819[/C][C]0.114776[/C][C]0.057388[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156627&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156627&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)-568.5146428071392971.371393-0.19130.8484030.424202
feedback_messages228.77274401577946.5373044.91591e-061e-06
totrevisions1.072669088775840.2867093.74130.0002210.000111
totseconds0.2640280063594490.0615544.28932.5e-051.2e-05
`tothyperlinks `94.632175912707259.8202681.58190.1147760.057388






Multiple Linear Regression - Regression Statistics
Multiple R0.859228886217559
R-squared0.738274278910667
Adjusted R-squared0.734588001148846
F-TEST (value)200.276356425688
F-TEST (DF numerator)4
F-TEST (DF denominator)284
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation20825.9184854918
Sum Squared Residuals123176162137.075

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.859228886217559 \tabularnewline
R-squared & 0.738274278910667 \tabularnewline
Adjusted R-squared & 0.734588001148846 \tabularnewline
F-TEST (value) & 200.276356425688 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 284 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 20825.9184854918 \tabularnewline
Sum Squared Residuals & 123176162137.075 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156627&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.859228886217559[/C][/ROW]
[ROW][C]R-squared[/C][C]0.738274278910667[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.734588001148846[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]200.276356425688[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]284[/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]20825.9184854918[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]123176162137.075[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156627&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156627&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 R0.859228886217559
R-squared0.738274278910667
Adjusted R-squared0.734588001148846
F-TEST (value)200.276356425688
F-TEST (DF numerator)4
F-TEST (DF denominator)284
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation20825.9184854918
Sum Squared Residuals123176162137.075






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1112285103935.9130240268349.08697597353
28478679686.56165066335099.4383493367
38312380008.03008318553114.96991681446
410119398970.76102098452222.23897901545
53836150963.4680310916-12602.4680310916
66850447379.668787715621124.3312122844
7119182122916.326848808-3734.32684880788
82280718405.1664252294401.83357477102
91714023494.0660880032-6354.06608800315
1011617484610.797315313831563.2026846862
115763568437.3085104707-10802.3085104707
1266198102926.140582011-36728.1405820108
137170184237.4819320621-12536.4819320621
145779353082.46514370674710.53485629331
158044488233.8494893518-7789.84948935177
165385571947.025218367-18092.025218367
1797668125732.596704064-28064.5967040639
18133824105829.53149099627994.4685090043
1910148183943.63000439717537.369995603
209964581800.806663072417844.1933369276
2111478990418.447836579224370.5521634208
2299052111768.104113777-12716.1041137773
236765486421.1079397419-18767.1079397419
246555369828.8242575514-4275.82425755138
259750083287.949286174814212.0507138252
266911291695.6146248379-22583.6146248379
278275387557.2851874156-4804.28518741562
288532390775.8750852375-5452.87508523752
297265499061.1688631856-26407.1688631856
303072749138.0886881993-18411.0886881993
3177873102414.146810706-24541.1468107062
32117478120863.286508182-3385.28650818185
337400778832.8267557577-4825.8267557577
3490183121579.141361046-31396.1413610457
356154237920.62856630623621.371433694
36101494127417.720493891-25923.7204938908
372757040749.4766235249-13179.4766235249
385581361161.7461360355-5348.74613603551
3979215108518.044397615-29303.0443976151
401423587.614841992078835.385158007922
415546172143.9929690975-16682.9929690975
423108142722.3885305212-11641.3885305212
432299632920.5864298047-9924.58642980467
4483122106440.619220283-23318.6192202829
457010691412.5733946523-21306.5733946523
466057870040.8764543214-9462.87645432138
473999253271.2425570228-13279.2425570228
487989280906.0000376479-1014.00003764786
494981053512.8471902938-3702.84719029381
507157045577.386996620425992.6130033796
5110070868187.626419260332520.3735807397
523303243730.9027463749-10698.9027463749
538287589682.0148745015-6807.01487450147
54139077111361.52786539927715.4721346015
557159582879.3758019066-11284.3758019066
567226093340.8413787336-21080.8413787336
5759509702.31150963662-3752.31150963662
58115762104297.06025248711464.9397475128
593255127234.4048244235316.59517557701
603170132419.4690605303-718.469060530334
618067089004.6690877313-8334.6690877313
62143558124742.93441181518815.0655881854
6311710592029.283747702125075.7162522979
642378935030.2181123136-11241.2181123136
65120733126013.249680964-5280.24968096355
66105195130143.875793441-24948.8757934411
677310764535.66101169718571.33898830292
68132068120630.37995085911437.6200491407
69149193134878.62685209214314.3731479077
704682168863.3383361078-22042.3383361078
718701185885.35457238961125.64542761041
7295260101999.897293106-6739.89729310603
735518382894.3513873756-27711.3513873756
7410667170361.503408760836309.4965912392
757351193449.4937294721-19938.4937294721
769294578492.916848360414452.0831516396
777866463648.808206765215015.1917932348
787005481509.0495478043-11455.0495478043
792261831539.6425777682-8921.64257776825
807401185599.0965017934-11588.0965017934
818373778473.85708000745263.14291999257
826909479140.0907800116-10046.0907800116
839313389558.54528378473574.45471621534
849553697001.1078590354-1465.10785903541
8522592082062.3904101753143857.609589825
866213369049.5550020945-6916.5550020945
876137068273.3049015037-6903.30490150368
884383653698.2584982802-9862.25849828018
89106117105056.4532481141060.54675188639
903869254132.1617440781-15440.1617440781
918465183118.9582453121532.04175468801
925662234630.520246063821991.4797539362
931598634074.2265891289-18088.2265891289
949536485933.04954476089430.95045523919
952670644576.6060273395-17870.6060273395
968969178202.354701888911488.6452981111
9767267104275.782355989-37008.7823559888
98126846100907.78108342425938.2189165759
994114068001.4899394896-26861.4899394896
10010286093180.19706953339679.80293046666
1015171553445.2083367906-1730.20833679057
1025580172231.31973772-16430.31973772
103111813103569.5585045718243.44149542915
10412029385260.436157515435032.5638424846
105138599105540.76149673833058.2385032622
106161647130402.5293094931244.4706905097
107115929128614.093027329-12685.0930273294
1082426636966.9891220338-12700.9891220338
109162901139374.48245559423526.5175444059
110109825104928.2203821594896.77961784132
111129838118134.10606463311703.8939353671
1123751058171.5794028876-20661.5794028876
1134375033441.60184561210308.398154388
1144065259864.0692365847-19212.0692365847
11587771112394.167373029-24623.1673730287
11685872100736.417701491-14864.4177014908
1178927596274.804041337-6999.80404133696
1184441858073.441938332-13655.441938332
11919256590249.4808321217102315.519167878
1203523227625.4447155677606.55528443302
1214090958539.2374489575-17630.2374489575
1221329422620.776791046-9326.77679104603
1233238743576.8960446903-11189.8960446903
12414086757103.691824519583763.3081754805
12512066297608.818838508323053.1811614917
1262123325116.4852538466-3883.48525384661
1274433230679.270145758413652.7298542416
1286105660190.1276715232865.872328476851
12910133896688.94059823134649.05940176868
13011682269.92212050684-1101.92212050684
131134978549.74489268814947.25510731189
1326556783430.4964988977-17863.4964988977
1332516220380.89399987764781.1060001224
1343233448052.7902983317-15718.7902983317
1354073565555.5027425602-24820.5027425602
13691413123575.249851219-32162.2498512193
1378551920.9696709622-1065.9696709622
1389706871143.080419399825924.9195806002
1394433917663.062026365826675.9379736342
1401411616592.5515678795-2476.5515678795
1411028820727.5536359946-10439.5536359946
1426562257714.27792326167907.72207673842
1431656321287.946796461-4724.94679646099
1447664397970.3702143235-21327.3702143235
14511068181715.780807715728965.2191922843
1462901126060.91476528912950.08523471093
1479269645457.944807748347238.0551922517
1489478555875.514339598338909.4856604017
149877312839.5671127552-4066.56711275517
1508320967458.889796838215750.1102031618
15193815114911.394624847-21096.3946248466
15286687103807.033275926-17120.033275926
1533455332651.87758640991901.1224135901
154105547131489.738979791-25942.738979791
155103487111399.028185135-7912.02818513475
156213688161942.1410220451745.8589779595
1577122080828.6844482239-9608.68444822391
1582351729171.8820722146-5654.88207221455
1595692649642.61550984687283.38449015324
1609172175942.355163951115778.6448360489
161115168119960.769399202-4792.7693992018
16211119428370.590615899382823.4093841007
1635100946357.74414133244651.25585866761
164135777112494.32091586923282.6790841306
1655151357724.1608877695-6211.16088776953
16674163103042.763315464-28879.7633154638
1675163373569.5680297413-21936.5680297413
1687534551609.809478904523735.1905210955
1693341654629.5387517281-21213.5387517281
1708330557262.245064836826042.7549351633
1719895279244.589784520719707.4102154793
172102372101626.670756745.329244000023
1733723824905.653040383312332.3469596167
174103772110400.322251054-6628.32225105407
17512396976518.588236882247450.4117631178
1762714242007.1624670384-14865.1624670384
177135400101398.45599338734001.5440066131
1782139930131.1999292565-8732.19992925652
179130115115643.29633843214471.703661568
1802487435800.5395405182-10926.5395405182
1813498820339.789392278414648.2106077216
1824554922473.754722743323075.2452772567
18360234219.52263965521803.4773603448
1846446673193.5392838245-8727.53928382449
18554990104319.893628477-49329.8936284767
18616441716.48131302434-72.4813130243401
187617912013.0789195329-5834.07891953285
18839265506.72210773725-1580.72210773725
1893275548543.2382297008-15788.2382297008
1903477732577.19019727252199.80980272747
1917322456252.852761243116971.1472387569
1922711433244.2189692021-6130.21896920205
1932076028263.7578065449-7503.75780654492
1943763632311.31272324535324.68727675467
1956546172967.0634157186-7506.06341571855
1963008038506.7964531244-8426.79645312436
1972409435604.9756467132-11510.9756467132
1986900834075.519198499834932.4808015002
1995496836324.28285093918643.717149061
2004609036155.36455361349934.63544638661
2012750737972.823895623-10465.823895623
2021067226065.3447553589-15393.3447553589
2033402935705.4984687465-1676.49846874651
2044630046411.4084241237-111.408424123744
2052476034214.7350399438-9454.73503994381
2061877923545.9209315106-4766.9209315106
2072128031718.255932496-10438.255932496
2084066247219.1065618674-6557.10656186744
2092898740266.988026362-11279.988026362
2102282744951.0227872658-22124.0227872658
2111851328300.6702991971-9787.67029919713
2123059433150.7594936192-2556.75949361921
2132400630230.8375513026-6224.83755130257
2142791339936.1659619872-12023.1659619872
2154274425923.744979731116820.2550202689
2161293433087.0723444474-20153.0723444474
2172257427176.9793842741-4602.97938427414
2184138526229.56878709615155.431212904
2191865332634.7754009487-13981.7754009487
2201847227402.985019334-8930.98501933401
2213097640172.8903237843-9196.89032378431
2226333964874.2533040382-1535.25330403817
2232556841248.2530042369-15680.2530042369
2243374740334.2282101047-6587.22821010466
225415418010.0030112904-13856.0030112904
2261947433046.6436048003-13572.6436048003
2273513020194.416931098414935.5830689016
2283906737953.79558553931113.20441446068
2291331020517.9126945625-7207.91269456245
2306589237348.144264945528543.8557350545
231414317458.2150698187-13315.2150698187
2322857936771.3149161437-8192.3149161437
2335177641846.53204459589929.46795540417
2342115226107.9775348219-4955.97753482187
2353808437873.247286813210.752713186977
2362771733481.3682853374-5764.36828533737
2373292835466.5888514761-2538.5888514761
2381134228552.4830030536-17210.4830030536
2391949933155.5723035805-13656.5723035805
2401638023340.2430761598-6960.2430761598
2413687434124.56218260382749.43781739615
2424825960512.2489030279-12253.2489030279
2431673427527.9378458066-10793.9378458066
2442820727926.0357719774280.964228022613
2453014332005.5722509064-1862.57225090644
2464136937367.10945505984001.89054494023
2474583339998.57024428575834.42975571428
2482915630155.2423029071-999.242302907091
2493594421221.809012492314722.1909875077
2503627822462.143338745513815.8566612545
2514558849285.4051854647-3697.4051854647
2524509745667.2018570264-570.201857026419
25338954592.72418485628-697.724184856284
2542839431938.2258310819-3544.22583108192
2551863230276.0698300857-11644.0698300857
25623255164.21900824543-2839.21900824543
2572513919209.16431781115929.83568218888
2582797527958.599647991116.4003520089319
2591448325890.1084965497-11407.1084965497
2601312719113.0477248815-5986.04772488149
261583914389.1152989192-8550.11529891921
2622406938554.178445814-14485.178445814
26337386639.88144147483-2901.88144147483
2641862529596.144875409-10971.144875409
2653634124676.977491802411664.0225081976
2662454832730.5911218731-8182.59112187307
2672179235316.215653096-13524.215653096
2682626320539.70116639495723.29883360515
2692368640071.6023407644-16385.6023407644
2704930338324.483625503810978.5163744962
2712565935832.2062913813-10173.2062913813
2722890429427.6310474442-523.631047444188
2732781220.1588055906912560.84119440931
2742923635483.6986505005-6247.69865050048
2751954621478.1827944076-1932.18279440765
2762281821745.15356719811072.84643280187
2773268912608.616564260220080.3834357398
27857527420.56360605884-1668.56360605884
2792219735199.1660738139-13002.1660738139
2802005530752.0562583719-10697.0562583719
2812527230822.1119821821-5550.11198218207
2828220619412.279635648462793.7203643516
2833207319435.090591420112637.9094085799
28454445620.7517469243-176.751746924301
2852015425381.3291096127-5227.32910961275
2863694422734.405152658314209.5948473417
287801917224.2182479821-9205.21824798208
2883088440851.4803980735-9967.48039807347
2891954032637.404492067-13097.404492067

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 112285 & 103935.913024026 & 8349.08697597353 \tabularnewline
2 & 84786 & 79686.5616506633 & 5099.4383493367 \tabularnewline
3 & 83123 & 80008.0300831855 & 3114.96991681446 \tabularnewline
4 & 101193 & 98970.7610209845 & 2222.23897901545 \tabularnewline
5 & 38361 & 50963.4680310916 & -12602.4680310916 \tabularnewline
6 & 68504 & 47379.6687877156 & 21124.3312122844 \tabularnewline
7 & 119182 & 122916.326848808 & -3734.32684880788 \tabularnewline
8 & 22807 & 18405.166425229 & 4401.83357477102 \tabularnewline
9 & 17140 & 23494.0660880032 & -6354.06608800315 \tabularnewline
10 & 116174 & 84610.7973153138 & 31563.2026846862 \tabularnewline
11 & 57635 & 68437.3085104707 & -10802.3085104707 \tabularnewline
12 & 66198 & 102926.140582011 & -36728.1405820108 \tabularnewline
13 & 71701 & 84237.4819320621 & -12536.4819320621 \tabularnewline
14 & 57793 & 53082.4651437067 & 4710.53485629331 \tabularnewline
15 & 80444 & 88233.8494893518 & -7789.84948935177 \tabularnewline
16 & 53855 & 71947.025218367 & -18092.025218367 \tabularnewline
17 & 97668 & 125732.596704064 & -28064.5967040639 \tabularnewline
18 & 133824 & 105829.531490996 & 27994.4685090043 \tabularnewline
19 & 101481 & 83943.630004397 & 17537.369995603 \tabularnewline
20 & 99645 & 81800.8066630724 & 17844.1933369276 \tabularnewline
21 & 114789 & 90418.4478365792 & 24370.5521634208 \tabularnewline
22 & 99052 & 111768.104113777 & -12716.1041137773 \tabularnewline
23 & 67654 & 86421.1079397419 & -18767.1079397419 \tabularnewline
24 & 65553 & 69828.8242575514 & -4275.82425755138 \tabularnewline
25 & 97500 & 83287.9492861748 & 14212.0507138252 \tabularnewline
26 & 69112 & 91695.6146248379 & -22583.6146248379 \tabularnewline
27 & 82753 & 87557.2851874156 & -4804.28518741562 \tabularnewline
28 & 85323 & 90775.8750852375 & -5452.87508523752 \tabularnewline
29 & 72654 & 99061.1688631856 & -26407.1688631856 \tabularnewline
30 & 30727 & 49138.0886881993 & -18411.0886881993 \tabularnewline
31 & 77873 & 102414.146810706 & -24541.1468107062 \tabularnewline
32 & 117478 & 120863.286508182 & -3385.28650818185 \tabularnewline
33 & 74007 & 78832.8267557577 & -4825.8267557577 \tabularnewline
34 & 90183 & 121579.141361046 & -31396.1413610457 \tabularnewline
35 & 61542 & 37920.628566306 & 23621.371433694 \tabularnewline
36 & 101494 & 127417.720493891 & -25923.7204938908 \tabularnewline
37 & 27570 & 40749.4766235249 & -13179.4766235249 \tabularnewline
38 & 55813 & 61161.7461360355 & -5348.74613603551 \tabularnewline
39 & 79215 & 108518.044397615 & -29303.0443976151 \tabularnewline
40 & 1423 & 587.614841992078 & 835.385158007922 \tabularnewline
41 & 55461 & 72143.9929690975 & -16682.9929690975 \tabularnewline
42 & 31081 & 42722.3885305212 & -11641.3885305212 \tabularnewline
43 & 22996 & 32920.5864298047 & -9924.58642980467 \tabularnewline
44 & 83122 & 106440.619220283 & -23318.6192202829 \tabularnewline
45 & 70106 & 91412.5733946523 & -21306.5733946523 \tabularnewline
46 & 60578 & 70040.8764543214 & -9462.87645432138 \tabularnewline
47 & 39992 & 53271.2425570228 & -13279.2425570228 \tabularnewline
48 & 79892 & 80906.0000376479 & -1014.00003764786 \tabularnewline
49 & 49810 & 53512.8471902938 & -3702.84719029381 \tabularnewline
50 & 71570 & 45577.3869966204 & 25992.6130033796 \tabularnewline
51 & 100708 & 68187.6264192603 & 32520.3735807397 \tabularnewline
52 & 33032 & 43730.9027463749 & -10698.9027463749 \tabularnewline
53 & 82875 & 89682.0148745015 & -6807.01487450147 \tabularnewline
54 & 139077 & 111361.527865399 & 27715.4721346015 \tabularnewline
55 & 71595 & 82879.3758019066 & -11284.3758019066 \tabularnewline
56 & 72260 & 93340.8413787336 & -21080.8413787336 \tabularnewline
57 & 5950 & 9702.31150963662 & -3752.31150963662 \tabularnewline
58 & 115762 & 104297.060252487 & 11464.9397475128 \tabularnewline
59 & 32551 & 27234.404824423 & 5316.59517557701 \tabularnewline
60 & 31701 & 32419.4690605303 & -718.469060530334 \tabularnewline
61 & 80670 & 89004.6690877313 & -8334.6690877313 \tabularnewline
62 & 143558 & 124742.934411815 & 18815.0655881854 \tabularnewline
63 & 117105 & 92029.2837477021 & 25075.7162522979 \tabularnewline
64 & 23789 & 35030.2181123136 & -11241.2181123136 \tabularnewline
65 & 120733 & 126013.249680964 & -5280.24968096355 \tabularnewline
66 & 105195 & 130143.875793441 & -24948.8757934411 \tabularnewline
67 & 73107 & 64535.6610116971 & 8571.33898830292 \tabularnewline
68 & 132068 & 120630.379950859 & 11437.6200491407 \tabularnewline
69 & 149193 & 134878.626852092 & 14314.3731479077 \tabularnewline
70 & 46821 & 68863.3383361078 & -22042.3383361078 \tabularnewline
71 & 87011 & 85885.3545723896 & 1125.64542761041 \tabularnewline
72 & 95260 & 101999.897293106 & -6739.89729310603 \tabularnewline
73 & 55183 & 82894.3513873756 & -27711.3513873756 \tabularnewline
74 & 106671 & 70361.5034087608 & 36309.4965912392 \tabularnewline
75 & 73511 & 93449.4937294721 & -19938.4937294721 \tabularnewline
76 & 92945 & 78492.9168483604 & 14452.0831516396 \tabularnewline
77 & 78664 & 63648.8082067652 & 15015.1917932348 \tabularnewline
78 & 70054 & 81509.0495478043 & -11455.0495478043 \tabularnewline
79 & 22618 & 31539.6425777682 & -8921.64257776825 \tabularnewline
80 & 74011 & 85599.0965017934 & -11588.0965017934 \tabularnewline
81 & 83737 & 78473.8570800074 & 5263.14291999257 \tabularnewline
82 & 69094 & 79140.0907800116 & -10046.0907800116 \tabularnewline
83 & 93133 & 89558.5452837847 & 3574.45471621534 \tabularnewline
84 & 95536 & 97001.1078590354 & -1465.10785903541 \tabularnewline
85 & 225920 & 82062.3904101753 & 143857.609589825 \tabularnewline
86 & 62133 & 69049.5550020945 & -6916.5550020945 \tabularnewline
87 & 61370 & 68273.3049015037 & -6903.30490150368 \tabularnewline
88 & 43836 & 53698.2584982802 & -9862.25849828018 \tabularnewline
89 & 106117 & 105056.453248114 & 1060.54675188639 \tabularnewline
90 & 38692 & 54132.1617440781 & -15440.1617440781 \tabularnewline
91 & 84651 & 83118.958245312 & 1532.04175468801 \tabularnewline
92 & 56622 & 34630.5202460638 & 21991.4797539362 \tabularnewline
93 & 15986 & 34074.2265891289 & -18088.2265891289 \tabularnewline
94 & 95364 & 85933.0495447608 & 9430.95045523919 \tabularnewline
95 & 26706 & 44576.6060273395 & -17870.6060273395 \tabularnewline
96 & 89691 & 78202.3547018889 & 11488.6452981111 \tabularnewline
97 & 67267 & 104275.782355989 & -37008.7823559888 \tabularnewline
98 & 126846 & 100907.781083424 & 25938.2189165759 \tabularnewline
99 & 41140 & 68001.4899394896 & -26861.4899394896 \tabularnewline
100 & 102860 & 93180.1970695333 & 9679.80293046666 \tabularnewline
101 & 51715 & 53445.2083367906 & -1730.20833679057 \tabularnewline
102 & 55801 & 72231.31973772 & -16430.31973772 \tabularnewline
103 & 111813 & 103569.558504571 & 8243.44149542915 \tabularnewline
104 & 120293 & 85260.4361575154 & 35032.5638424846 \tabularnewline
105 & 138599 & 105540.761496738 & 33058.2385032622 \tabularnewline
106 & 161647 & 130402.52930949 & 31244.4706905097 \tabularnewline
107 & 115929 & 128614.093027329 & -12685.0930273294 \tabularnewline
108 & 24266 & 36966.9891220338 & -12700.9891220338 \tabularnewline
109 & 162901 & 139374.482455594 & 23526.5175444059 \tabularnewline
110 & 109825 & 104928.220382159 & 4896.77961784132 \tabularnewline
111 & 129838 & 118134.106064633 & 11703.8939353671 \tabularnewline
112 & 37510 & 58171.5794028876 & -20661.5794028876 \tabularnewline
113 & 43750 & 33441.601845612 & 10308.398154388 \tabularnewline
114 & 40652 & 59864.0692365847 & -19212.0692365847 \tabularnewline
115 & 87771 & 112394.167373029 & -24623.1673730287 \tabularnewline
116 & 85872 & 100736.417701491 & -14864.4177014908 \tabularnewline
117 & 89275 & 96274.804041337 & -6999.80404133696 \tabularnewline
118 & 44418 & 58073.441938332 & -13655.441938332 \tabularnewline
119 & 192565 & 90249.4808321217 & 102315.519167878 \tabularnewline
120 & 35232 & 27625.444715567 & 7606.55528443302 \tabularnewline
121 & 40909 & 58539.2374489575 & -17630.2374489575 \tabularnewline
122 & 13294 & 22620.776791046 & -9326.77679104603 \tabularnewline
123 & 32387 & 43576.8960446903 & -11189.8960446903 \tabularnewline
124 & 140867 & 57103.6918245195 & 83763.3081754805 \tabularnewline
125 & 120662 & 97608.8188385083 & 23053.1811614917 \tabularnewline
126 & 21233 & 25116.4852538466 & -3883.48525384661 \tabularnewline
127 & 44332 & 30679.2701457584 & 13652.7298542416 \tabularnewline
128 & 61056 & 60190.1276715232 & 865.872328476851 \tabularnewline
129 & 101338 & 96688.9405982313 & 4649.05940176868 \tabularnewline
130 & 1168 & 2269.92212050684 & -1101.92212050684 \tabularnewline
131 & 13497 & 8549.7448926881 & 4947.25510731189 \tabularnewline
132 & 65567 & 83430.4964988977 & -17863.4964988977 \tabularnewline
133 & 25162 & 20380.8939998776 & 4781.1060001224 \tabularnewline
134 & 32334 & 48052.7902983317 & -15718.7902983317 \tabularnewline
135 & 40735 & 65555.5027425602 & -24820.5027425602 \tabularnewline
136 & 91413 & 123575.249851219 & -32162.2498512193 \tabularnewline
137 & 855 & 1920.9696709622 & -1065.9696709622 \tabularnewline
138 & 97068 & 71143.0804193998 & 25924.9195806002 \tabularnewline
139 & 44339 & 17663.0620263658 & 26675.9379736342 \tabularnewline
140 & 14116 & 16592.5515678795 & -2476.5515678795 \tabularnewline
141 & 10288 & 20727.5536359946 & -10439.5536359946 \tabularnewline
142 & 65622 & 57714.2779232616 & 7907.72207673842 \tabularnewline
143 & 16563 & 21287.946796461 & -4724.94679646099 \tabularnewline
144 & 76643 & 97970.3702143235 & -21327.3702143235 \tabularnewline
145 & 110681 & 81715.7808077157 & 28965.2191922843 \tabularnewline
146 & 29011 & 26060.9147652891 & 2950.08523471093 \tabularnewline
147 & 92696 & 45457.9448077483 & 47238.0551922517 \tabularnewline
148 & 94785 & 55875.5143395983 & 38909.4856604017 \tabularnewline
149 & 8773 & 12839.5671127552 & -4066.56711275517 \tabularnewline
150 & 83209 & 67458.8897968382 & 15750.1102031618 \tabularnewline
151 & 93815 & 114911.394624847 & -21096.3946248466 \tabularnewline
152 & 86687 & 103807.033275926 & -17120.033275926 \tabularnewline
153 & 34553 & 32651.8775864099 & 1901.1224135901 \tabularnewline
154 & 105547 & 131489.738979791 & -25942.738979791 \tabularnewline
155 & 103487 & 111399.028185135 & -7912.02818513475 \tabularnewline
156 & 213688 & 161942.14102204 & 51745.8589779595 \tabularnewline
157 & 71220 & 80828.6844482239 & -9608.68444822391 \tabularnewline
158 & 23517 & 29171.8820722146 & -5654.88207221455 \tabularnewline
159 & 56926 & 49642.6155098468 & 7283.38449015324 \tabularnewline
160 & 91721 & 75942.3551639511 & 15778.6448360489 \tabularnewline
161 & 115168 & 119960.769399202 & -4792.7693992018 \tabularnewline
162 & 111194 & 28370.5906158993 & 82823.4093841007 \tabularnewline
163 & 51009 & 46357.7441413324 & 4651.25585866761 \tabularnewline
164 & 135777 & 112494.320915869 & 23282.6790841306 \tabularnewline
165 & 51513 & 57724.1608877695 & -6211.16088776953 \tabularnewline
166 & 74163 & 103042.763315464 & -28879.7633154638 \tabularnewline
167 & 51633 & 73569.5680297413 & -21936.5680297413 \tabularnewline
168 & 75345 & 51609.8094789045 & 23735.1905210955 \tabularnewline
169 & 33416 & 54629.5387517281 & -21213.5387517281 \tabularnewline
170 & 83305 & 57262.2450648368 & 26042.7549351633 \tabularnewline
171 & 98952 & 79244.5897845207 & 19707.4102154793 \tabularnewline
172 & 102372 & 101626.670756 & 745.329244000023 \tabularnewline
173 & 37238 & 24905.6530403833 & 12332.3469596167 \tabularnewline
174 & 103772 & 110400.322251054 & -6628.32225105407 \tabularnewline
175 & 123969 & 76518.5882368822 & 47450.4117631178 \tabularnewline
176 & 27142 & 42007.1624670384 & -14865.1624670384 \tabularnewline
177 & 135400 & 101398.455993387 & 34001.5440066131 \tabularnewline
178 & 21399 & 30131.1999292565 & -8732.19992925652 \tabularnewline
179 & 130115 & 115643.296338432 & 14471.703661568 \tabularnewline
180 & 24874 & 35800.5395405182 & -10926.5395405182 \tabularnewline
181 & 34988 & 20339.7893922784 & 14648.2106077216 \tabularnewline
182 & 45549 & 22473.7547227433 & 23075.2452772567 \tabularnewline
183 & 6023 & 4219.5226396552 & 1803.4773603448 \tabularnewline
184 & 64466 & 73193.5392838245 & -8727.53928382449 \tabularnewline
185 & 54990 & 104319.893628477 & -49329.8936284767 \tabularnewline
186 & 1644 & 1716.48131302434 & -72.4813130243401 \tabularnewline
187 & 6179 & 12013.0789195329 & -5834.07891953285 \tabularnewline
188 & 3926 & 5506.72210773725 & -1580.72210773725 \tabularnewline
189 & 32755 & 48543.2382297008 & -15788.2382297008 \tabularnewline
190 & 34777 & 32577.1901972725 & 2199.80980272747 \tabularnewline
191 & 73224 & 56252.8527612431 & 16971.1472387569 \tabularnewline
192 & 27114 & 33244.2189692021 & -6130.21896920205 \tabularnewline
193 & 20760 & 28263.7578065449 & -7503.75780654492 \tabularnewline
194 & 37636 & 32311.3127232453 & 5324.68727675467 \tabularnewline
195 & 65461 & 72967.0634157186 & -7506.06341571855 \tabularnewline
196 & 30080 & 38506.7964531244 & -8426.79645312436 \tabularnewline
197 & 24094 & 35604.9756467132 & -11510.9756467132 \tabularnewline
198 & 69008 & 34075.5191984998 & 34932.4808015002 \tabularnewline
199 & 54968 & 36324.282850939 & 18643.717149061 \tabularnewline
200 & 46090 & 36155.3645536134 & 9934.63544638661 \tabularnewline
201 & 27507 & 37972.823895623 & -10465.823895623 \tabularnewline
202 & 10672 & 26065.3447553589 & -15393.3447553589 \tabularnewline
203 & 34029 & 35705.4984687465 & -1676.49846874651 \tabularnewline
204 & 46300 & 46411.4084241237 & -111.408424123744 \tabularnewline
205 & 24760 & 34214.7350399438 & -9454.73503994381 \tabularnewline
206 & 18779 & 23545.9209315106 & -4766.9209315106 \tabularnewline
207 & 21280 & 31718.255932496 & -10438.255932496 \tabularnewline
208 & 40662 & 47219.1065618674 & -6557.10656186744 \tabularnewline
209 & 28987 & 40266.988026362 & -11279.988026362 \tabularnewline
210 & 22827 & 44951.0227872658 & -22124.0227872658 \tabularnewline
211 & 18513 & 28300.6702991971 & -9787.67029919713 \tabularnewline
212 & 30594 & 33150.7594936192 & -2556.75949361921 \tabularnewline
213 & 24006 & 30230.8375513026 & -6224.83755130257 \tabularnewline
214 & 27913 & 39936.1659619872 & -12023.1659619872 \tabularnewline
215 & 42744 & 25923.7449797311 & 16820.2550202689 \tabularnewline
216 & 12934 & 33087.0723444474 & -20153.0723444474 \tabularnewline
217 & 22574 & 27176.9793842741 & -4602.97938427414 \tabularnewline
218 & 41385 & 26229.568787096 & 15155.431212904 \tabularnewline
219 & 18653 & 32634.7754009487 & -13981.7754009487 \tabularnewline
220 & 18472 & 27402.985019334 & -8930.98501933401 \tabularnewline
221 & 30976 & 40172.8903237843 & -9196.89032378431 \tabularnewline
222 & 63339 & 64874.2533040382 & -1535.25330403817 \tabularnewline
223 & 25568 & 41248.2530042369 & -15680.2530042369 \tabularnewline
224 & 33747 & 40334.2282101047 & -6587.22821010466 \tabularnewline
225 & 4154 & 18010.0030112904 & -13856.0030112904 \tabularnewline
226 & 19474 & 33046.6436048003 & -13572.6436048003 \tabularnewline
227 & 35130 & 20194.4169310984 & 14935.5830689016 \tabularnewline
228 & 39067 & 37953.7955855393 & 1113.20441446068 \tabularnewline
229 & 13310 & 20517.9126945625 & -7207.91269456245 \tabularnewline
230 & 65892 & 37348.1442649455 & 28543.8557350545 \tabularnewline
231 & 4143 & 17458.2150698187 & -13315.2150698187 \tabularnewline
232 & 28579 & 36771.3149161437 & -8192.3149161437 \tabularnewline
233 & 51776 & 41846.5320445958 & 9929.46795540417 \tabularnewline
234 & 21152 & 26107.9775348219 & -4955.97753482187 \tabularnewline
235 & 38084 & 37873.247286813 & 210.752713186977 \tabularnewline
236 & 27717 & 33481.3682853374 & -5764.36828533737 \tabularnewline
237 & 32928 & 35466.5888514761 & -2538.5888514761 \tabularnewline
238 & 11342 & 28552.4830030536 & -17210.4830030536 \tabularnewline
239 & 19499 & 33155.5723035805 & -13656.5723035805 \tabularnewline
240 & 16380 & 23340.2430761598 & -6960.2430761598 \tabularnewline
241 & 36874 & 34124.5621826038 & 2749.43781739615 \tabularnewline
242 & 48259 & 60512.2489030279 & -12253.2489030279 \tabularnewline
243 & 16734 & 27527.9378458066 & -10793.9378458066 \tabularnewline
244 & 28207 & 27926.0357719774 & 280.964228022613 \tabularnewline
245 & 30143 & 32005.5722509064 & -1862.57225090644 \tabularnewline
246 & 41369 & 37367.1094550598 & 4001.89054494023 \tabularnewline
247 & 45833 & 39998.5702442857 & 5834.42975571428 \tabularnewline
248 & 29156 & 30155.2423029071 & -999.242302907091 \tabularnewline
249 & 35944 & 21221.8090124923 & 14722.1909875077 \tabularnewline
250 & 36278 & 22462.1433387455 & 13815.8566612545 \tabularnewline
251 & 45588 & 49285.4051854647 & -3697.4051854647 \tabularnewline
252 & 45097 & 45667.2018570264 & -570.201857026419 \tabularnewline
253 & 3895 & 4592.72418485628 & -697.724184856284 \tabularnewline
254 & 28394 & 31938.2258310819 & -3544.22583108192 \tabularnewline
255 & 18632 & 30276.0698300857 & -11644.0698300857 \tabularnewline
256 & 2325 & 5164.21900824543 & -2839.21900824543 \tabularnewline
257 & 25139 & 19209.1643178111 & 5929.83568218888 \tabularnewline
258 & 27975 & 27958.5996479911 & 16.4003520089319 \tabularnewline
259 & 14483 & 25890.1084965497 & -11407.1084965497 \tabularnewline
260 & 13127 & 19113.0477248815 & -5986.04772488149 \tabularnewline
261 & 5839 & 14389.1152989192 & -8550.11529891921 \tabularnewline
262 & 24069 & 38554.178445814 & -14485.178445814 \tabularnewline
263 & 3738 & 6639.88144147483 & -2901.88144147483 \tabularnewline
264 & 18625 & 29596.144875409 & -10971.144875409 \tabularnewline
265 & 36341 & 24676.9774918024 & 11664.0225081976 \tabularnewline
266 & 24548 & 32730.5911218731 & -8182.59112187307 \tabularnewline
267 & 21792 & 35316.215653096 & -13524.215653096 \tabularnewline
268 & 26263 & 20539.7011663949 & 5723.29883360515 \tabularnewline
269 & 23686 & 40071.6023407644 & -16385.6023407644 \tabularnewline
270 & 49303 & 38324.4836255038 & 10978.5163744962 \tabularnewline
271 & 25659 & 35832.2062913813 & -10173.2062913813 \tabularnewline
272 & 28904 & 29427.6310474442 & -523.631047444188 \tabularnewline
273 & 2781 & 220.158805590691 & 2560.84119440931 \tabularnewline
274 & 29236 & 35483.6986505005 & -6247.69865050048 \tabularnewline
275 & 19546 & 21478.1827944076 & -1932.18279440765 \tabularnewline
276 & 22818 & 21745.1535671981 & 1072.84643280187 \tabularnewline
277 & 32689 & 12608.6165642602 & 20080.3834357398 \tabularnewline
278 & 5752 & 7420.56360605884 & -1668.56360605884 \tabularnewline
279 & 22197 & 35199.1660738139 & -13002.1660738139 \tabularnewline
280 & 20055 & 30752.0562583719 & -10697.0562583719 \tabularnewline
281 & 25272 & 30822.1119821821 & -5550.11198218207 \tabularnewline
282 & 82206 & 19412.2796356484 & 62793.7203643516 \tabularnewline
283 & 32073 & 19435.0905914201 & 12637.9094085799 \tabularnewline
284 & 5444 & 5620.7517469243 & -176.751746924301 \tabularnewline
285 & 20154 & 25381.3291096127 & -5227.32910961275 \tabularnewline
286 & 36944 & 22734.4051526583 & 14209.5948473417 \tabularnewline
287 & 8019 & 17224.2182479821 & -9205.21824798208 \tabularnewline
288 & 30884 & 40851.4803980735 & -9967.48039807347 \tabularnewline
289 & 19540 & 32637.404492067 & -13097.404492067 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156627&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]103935.913024026[/C][C]8349.08697597353[/C][/ROW]
[ROW][C]2[/C][C]84786[/C][C]79686.5616506633[/C][C]5099.4383493367[/C][/ROW]
[ROW][C]3[/C][C]83123[/C][C]80008.0300831855[/C][C]3114.96991681446[/C][/ROW]
[ROW][C]4[/C][C]101193[/C][C]98970.7610209845[/C][C]2222.23897901545[/C][/ROW]
[ROW][C]5[/C][C]38361[/C][C]50963.4680310916[/C][C]-12602.4680310916[/C][/ROW]
[ROW][C]6[/C][C]68504[/C][C]47379.6687877156[/C][C]21124.3312122844[/C][/ROW]
[ROW][C]7[/C][C]119182[/C][C]122916.326848808[/C][C]-3734.32684880788[/C][/ROW]
[ROW][C]8[/C][C]22807[/C][C]18405.166425229[/C][C]4401.83357477102[/C][/ROW]
[ROW][C]9[/C][C]17140[/C][C]23494.0660880032[/C][C]-6354.06608800315[/C][/ROW]
[ROW][C]10[/C][C]116174[/C][C]84610.7973153138[/C][C]31563.2026846862[/C][/ROW]
[ROW][C]11[/C][C]57635[/C][C]68437.3085104707[/C][C]-10802.3085104707[/C][/ROW]
[ROW][C]12[/C][C]66198[/C][C]102926.140582011[/C][C]-36728.1405820108[/C][/ROW]
[ROW][C]13[/C][C]71701[/C][C]84237.4819320621[/C][C]-12536.4819320621[/C][/ROW]
[ROW][C]14[/C][C]57793[/C][C]53082.4651437067[/C][C]4710.53485629331[/C][/ROW]
[ROW][C]15[/C][C]80444[/C][C]88233.8494893518[/C][C]-7789.84948935177[/C][/ROW]
[ROW][C]16[/C][C]53855[/C][C]71947.025218367[/C][C]-18092.025218367[/C][/ROW]
[ROW][C]17[/C][C]97668[/C][C]125732.596704064[/C][C]-28064.5967040639[/C][/ROW]
[ROW][C]18[/C][C]133824[/C][C]105829.531490996[/C][C]27994.4685090043[/C][/ROW]
[ROW][C]19[/C][C]101481[/C][C]83943.630004397[/C][C]17537.369995603[/C][/ROW]
[ROW][C]20[/C][C]99645[/C][C]81800.8066630724[/C][C]17844.1933369276[/C][/ROW]
[ROW][C]21[/C][C]114789[/C][C]90418.4478365792[/C][C]24370.5521634208[/C][/ROW]
[ROW][C]22[/C][C]99052[/C][C]111768.104113777[/C][C]-12716.1041137773[/C][/ROW]
[ROW][C]23[/C][C]67654[/C][C]86421.1079397419[/C][C]-18767.1079397419[/C][/ROW]
[ROW][C]24[/C][C]65553[/C][C]69828.8242575514[/C][C]-4275.82425755138[/C][/ROW]
[ROW][C]25[/C][C]97500[/C][C]83287.9492861748[/C][C]14212.0507138252[/C][/ROW]
[ROW][C]26[/C][C]69112[/C][C]91695.6146248379[/C][C]-22583.6146248379[/C][/ROW]
[ROW][C]27[/C][C]82753[/C][C]87557.2851874156[/C][C]-4804.28518741562[/C][/ROW]
[ROW][C]28[/C][C]85323[/C][C]90775.8750852375[/C][C]-5452.87508523752[/C][/ROW]
[ROW][C]29[/C][C]72654[/C][C]99061.1688631856[/C][C]-26407.1688631856[/C][/ROW]
[ROW][C]30[/C][C]30727[/C][C]49138.0886881993[/C][C]-18411.0886881993[/C][/ROW]
[ROW][C]31[/C][C]77873[/C][C]102414.146810706[/C][C]-24541.1468107062[/C][/ROW]
[ROW][C]32[/C][C]117478[/C][C]120863.286508182[/C][C]-3385.28650818185[/C][/ROW]
[ROW][C]33[/C][C]74007[/C][C]78832.8267557577[/C][C]-4825.8267557577[/C][/ROW]
[ROW][C]34[/C][C]90183[/C][C]121579.141361046[/C][C]-31396.1413610457[/C][/ROW]
[ROW][C]35[/C][C]61542[/C][C]37920.628566306[/C][C]23621.371433694[/C][/ROW]
[ROW][C]36[/C][C]101494[/C][C]127417.720493891[/C][C]-25923.7204938908[/C][/ROW]
[ROW][C]37[/C][C]27570[/C][C]40749.4766235249[/C][C]-13179.4766235249[/C][/ROW]
[ROW][C]38[/C][C]55813[/C][C]61161.7461360355[/C][C]-5348.74613603551[/C][/ROW]
[ROW][C]39[/C][C]79215[/C][C]108518.044397615[/C][C]-29303.0443976151[/C][/ROW]
[ROW][C]40[/C][C]1423[/C][C]587.614841992078[/C][C]835.385158007922[/C][/ROW]
[ROW][C]41[/C][C]55461[/C][C]72143.9929690975[/C][C]-16682.9929690975[/C][/ROW]
[ROW][C]42[/C][C]31081[/C][C]42722.3885305212[/C][C]-11641.3885305212[/C][/ROW]
[ROW][C]43[/C][C]22996[/C][C]32920.5864298047[/C][C]-9924.58642980467[/C][/ROW]
[ROW][C]44[/C][C]83122[/C][C]106440.619220283[/C][C]-23318.6192202829[/C][/ROW]
[ROW][C]45[/C][C]70106[/C][C]91412.5733946523[/C][C]-21306.5733946523[/C][/ROW]
[ROW][C]46[/C][C]60578[/C][C]70040.8764543214[/C][C]-9462.87645432138[/C][/ROW]
[ROW][C]47[/C][C]39992[/C][C]53271.2425570228[/C][C]-13279.2425570228[/C][/ROW]
[ROW][C]48[/C][C]79892[/C][C]80906.0000376479[/C][C]-1014.00003764786[/C][/ROW]
[ROW][C]49[/C][C]49810[/C][C]53512.8471902938[/C][C]-3702.84719029381[/C][/ROW]
[ROW][C]50[/C][C]71570[/C][C]45577.3869966204[/C][C]25992.6130033796[/C][/ROW]
[ROW][C]51[/C][C]100708[/C][C]68187.6264192603[/C][C]32520.3735807397[/C][/ROW]
[ROW][C]52[/C][C]33032[/C][C]43730.9027463749[/C][C]-10698.9027463749[/C][/ROW]
[ROW][C]53[/C][C]82875[/C][C]89682.0148745015[/C][C]-6807.01487450147[/C][/ROW]
[ROW][C]54[/C][C]139077[/C][C]111361.527865399[/C][C]27715.4721346015[/C][/ROW]
[ROW][C]55[/C][C]71595[/C][C]82879.3758019066[/C][C]-11284.3758019066[/C][/ROW]
[ROW][C]56[/C][C]72260[/C][C]93340.8413787336[/C][C]-21080.8413787336[/C][/ROW]
[ROW][C]57[/C][C]5950[/C][C]9702.31150963662[/C][C]-3752.31150963662[/C][/ROW]
[ROW][C]58[/C][C]115762[/C][C]104297.060252487[/C][C]11464.9397475128[/C][/ROW]
[ROW][C]59[/C][C]32551[/C][C]27234.404824423[/C][C]5316.59517557701[/C][/ROW]
[ROW][C]60[/C][C]31701[/C][C]32419.4690605303[/C][C]-718.469060530334[/C][/ROW]
[ROW][C]61[/C][C]80670[/C][C]89004.6690877313[/C][C]-8334.6690877313[/C][/ROW]
[ROW][C]62[/C][C]143558[/C][C]124742.934411815[/C][C]18815.0655881854[/C][/ROW]
[ROW][C]63[/C][C]117105[/C][C]92029.2837477021[/C][C]25075.7162522979[/C][/ROW]
[ROW][C]64[/C][C]23789[/C][C]35030.2181123136[/C][C]-11241.2181123136[/C][/ROW]
[ROW][C]65[/C][C]120733[/C][C]126013.249680964[/C][C]-5280.24968096355[/C][/ROW]
[ROW][C]66[/C][C]105195[/C][C]130143.875793441[/C][C]-24948.8757934411[/C][/ROW]
[ROW][C]67[/C][C]73107[/C][C]64535.6610116971[/C][C]8571.33898830292[/C][/ROW]
[ROW][C]68[/C][C]132068[/C][C]120630.379950859[/C][C]11437.6200491407[/C][/ROW]
[ROW][C]69[/C][C]149193[/C][C]134878.626852092[/C][C]14314.3731479077[/C][/ROW]
[ROW][C]70[/C][C]46821[/C][C]68863.3383361078[/C][C]-22042.3383361078[/C][/ROW]
[ROW][C]71[/C][C]87011[/C][C]85885.3545723896[/C][C]1125.64542761041[/C][/ROW]
[ROW][C]72[/C][C]95260[/C][C]101999.897293106[/C][C]-6739.89729310603[/C][/ROW]
[ROW][C]73[/C][C]55183[/C][C]82894.3513873756[/C][C]-27711.3513873756[/C][/ROW]
[ROW][C]74[/C][C]106671[/C][C]70361.5034087608[/C][C]36309.4965912392[/C][/ROW]
[ROW][C]75[/C][C]73511[/C][C]93449.4937294721[/C][C]-19938.4937294721[/C][/ROW]
[ROW][C]76[/C][C]92945[/C][C]78492.9168483604[/C][C]14452.0831516396[/C][/ROW]
[ROW][C]77[/C][C]78664[/C][C]63648.8082067652[/C][C]15015.1917932348[/C][/ROW]
[ROW][C]78[/C][C]70054[/C][C]81509.0495478043[/C][C]-11455.0495478043[/C][/ROW]
[ROW][C]79[/C][C]22618[/C][C]31539.6425777682[/C][C]-8921.64257776825[/C][/ROW]
[ROW][C]80[/C][C]74011[/C][C]85599.0965017934[/C][C]-11588.0965017934[/C][/ROW]
[ROW][C]81[/C][C]83737[/C][C]78473.8570800074[/C][C]5263.14291999257[/C][/ROW]
[ROW][C]82[/C][C]69094[/C][C]79140.0907800116[/C][C]-10046.0907800116[/C][/ROW]
[ROW][C]83[/C][C]93133[/C][C]89558.5452837847[/C][C]3574.45471621534[/C][/ROW]
[ROW][C]84[/C][C]95536[/C][C]97001.1078590354[/C][C]-1465.10785903541[/C][/ROW]
[ROW][C]85[/C][C]225920[/C][C]82062.3904101753[/C][C]143857.609589825[/C][/ROW]
[ROW][C]86[/C][C]62133[/C][C]69049.5550020945[/C][C]-6916.5550020945[/C][/ROW]
[ROW][C]87[/C][C]61370[/C][C]68273.3049015037[/C][C]-6903.30490150368[/C][/ROW]
[ROW][C]88[/C][C]43836[/C][C]53698.2584982802[/C][C]-9862.25849828018[/C][/ROW]
[ROW][C]89[/C][C]106117[/C][C]105056.453248114[/C][C]1060.54675188639[/C][/ROW]
[ROW][C]90[/C][C]38692[/C][C]54132.1617440781[/C][C]-15440.1617440781[/C][/ROW]
[ROW][C]91[/C][C]84651[/C][C]83118.958245312[/C][C]1532.04175468801[/C][/ROW]
[ROW][C]92[/C][C]56622[/C][C]34630.5202460638[/C][C]21991.4797539362[/C][/ROW]
[ROW][C]93[/C][C]15986[/C][C]34074.2265891289[/C][C]-18088.2265891289[/C][/ROW]
[ROW][C]94[/C][C]95364[/C][C]85933.0495447608[/C][C]9430.95045523919[/C][/ROW]
[ROW][C]95[/C][C]26706[/C][C]44576.6060273395[/C][C]-17870.6060273395[/C][/ROW]
[ROW][C]96[/C][C]89691[/C][C]78202.3547018889[/C][C]11488.6452981111[/C][/ROW]
[ROW][C]97[/C][C]67267[/C][C]104275.782355989[/C][C]-37008.7823559888[/C][/ROW]
[ROW][C]98[/C][C]126846[/C][C]100907.781083424[/C][C]25938.2189165759[/C][/ROW]
[ROW][C]99[/C][C]41140[/C][C]68001.4899394896[/C][C]-26861.4899394896[/C][/ROW]
[ROW][C]100[/C][C]102860[/C][C]93180.1970695333[/C][C]9679.80293046666[/C][/ROW]
[ROW][C]101[/C][C]51715[/C][C]53445.2083367906[/C][C]-1730.20833679057[/C][/ROW]
[ROW][C]102[/C][C]55801[/C][C]72231.31973772[/C][C]-16430.31973772[/C][/ROW]
[ROW][C]103[/C][C]111813[/C][C]103569.558504571[/C][C]8243.44149542915[/C][/ROW]
[ROW][C]104[/C][C]120293[/C][C]85260.4361575154[/C][C]35032.5638424846[/C][/ROW]
[ROW][C]105[/C][C]138599[/C][C]105540.761496738[/C][C]33058.2385032622[/C][/ROW]
[ROW][C]106[/C][C]161647[/C][C]130402.52930949[/C][C]31244.4706905097[/C][/ROW]
[ROW][C]107[/C][C]115929[/C][C]128614.093027329[/C][C]-12685.0930273294[/C][/ROW]
[ROW][C]108[/C][C]24266[/C][C]36966.9891220338[/C][C]-12700.9891220338[/C][/ROW]
[ROW][C]109[/C][C]162901[/C][C]139374.482455594[/C][C]23526.5175444059[/C][/ROW]
[ROW][C]110[/C][C]109825[/C][C]104928.220382159[/C][C]4896.77961784132[/C][/ROW]
[ROW][C]111[/C][C]129838[/C][C]118134.106064633[/C][C]11703.8939353671[/C][/ROW]
[ROW][C]112[/C][C]37510[/C][C]58171.5794028876[/C][C]-20661.5794028876[/C][/ROW]
[ROW][C]113[/C][C]43750[/C][C]33441.601845612[/C][C]10308.398154388[/C][/ROW]
[ROW][C]114[/C][C]40652[/C][C]59864.0692365847[/C][C]-19212.0692365847[/C][/ROW]
[ROW][C]115[/C][C]87771[/C][C]112394.167373029[/C][C]-24623.1673730287[/C][/ROW]
[ROW][C]116[/C][C]85872[/C][C]100736.417701491[/C][C]-14864.4177014908[/C][/ROW]
[ROW][C]117[/C][C]89275[/C][C]96274.804041337[/C][C]-6999.80404133696[/C][/ROW]
[ROW][C]118[/C][C]44418[/C][C]58073.441938332[/C][C]-13655.441938332[/C][/ROW]
[ROW][C]119[/C][C]192565[/C][C]90249.4808321217[/C][C]102315.519167878[/C][/ROW]
[ROW][C]120[/C][C]35232[/C][C]27625.444715567[/C][C]7606.55528443302[/C][/ROW]
[ROW][C]121[/C][C]40909[/C][C]58539.2374489575[/C][C]-17630.2374489575[/C][/ROW]
[ROW][C]122[/C][C]13294[/C][C]22620.776791046[/C][C]-9326.77679104603[/C][/ROW]
[ROW][C]123[/C][C]32387[/C][C]43576.8960446903[/C][C]-11189.8960446903[/C][/ROW]
[ROW][C]124[/C][C]140867[/C][C]57103.6918245195[/C][C]83763.3081754805[/C][/ROW]
[ROW][C]125[/C][C]120662[/C][C]97608.8188385083[/C][C]23053.1811614917[/C][/ROW]
[ROW][C]126[/C][C]21233[/C][C]25116.4852538466[/C][C]-3883.48525384661[/C][/ROW]
[ROW][C]127[/C][C]44332[/C][C]30679.2701457584[/C][C]13652.7298542416[/C][/ROW]
[ROW][C]128[/C][C]61056[/C][C]60190.1276715232[/C][C]865.872328476851[/C][/ROW]
[ROW][C]129[/C][C]101338[/C][C]96688.9405982313[/C][C]4649.05940176868[/C][/ROW]
[ROW][C]130[/C][C]1168[/C][C]2269.92212050684[/C][C]-1101.92212050684[/C][/ROW]
[ROW][C]131[/C][C]13497[/C][C]8549.7448926881[/C][C]4947.25510731189[/C][/ROW]
[ROW][C]132[/C][C]65567[/C][C]83430.4964988977[/C][C]-17863.4964988977[/C][/ROW]
[ROW][C]133[/C][C]25162[/C][C]20380.8939998776[/C][C]4781.1060001224[/C][/ROW]
[ROW][C]134[/C][C]32334[/C][C]48052.7902983317[/C][C]-15718.7902983317[/C][/ROW]
[ROW][C]135[/C][C]40735[/C][C]65555.5027425602[/C][C]-24820.5027425602[/C][/ROW]
[ROW][C]136[/C][C]91413[/C][C]123575.249851219[/C][C]-32162.2498512193[/C][/ROW]
[ROW][C]137[/C][C]855[/C][C]1920.9696709622[/C][C]-1065.9696709622[/C][/ROW]
[ROW][C]138[/C][C]97068[/C][C]71143.0804193998[/C][C]25924.9195806002[/C][/ROW]
[ROW][C]139[/C][C]44339[/C][C]17663.0620263658[/C][C]26675.9379736342[/C][/ROW]
[ROW][C]140[/C][C]14116[/C][C]16592.5515678795[/C][C]-2476.5515678795[/C][/ROW]
[ROW][C]141[/C][C]10288[/C][C]20727.5536359946[/C][C]-10439.5536359946[/C][/ROW]
[ROW][C]142[/C][C]65622[/C][C]57714.2779232616[/C][C]7907.72207673842[/C][/ROW]
[ROW][C]143[/C][C]16563[/C][C]21287.946796461[/C][C]-4724.94679646099[/C][/ROW]
[ROW][C]144[/C][C]76643[/C][C]97970.3702143235[/C][C]-21327.3702143235[/C][/ROW]
[ROW][C]145[/C][C]110681[/C][C]81715.7808077157[/C][C]28965.2191922843[/C][/ROW]
[ROW][C]146[/C][C]29011[/C][C]26060.9147652891[/C][C]2950.08523471093[/C][/ROW]
[ROW][C]147[/C][C]92696[/C][C]45457.9448077483[/C][C]47238.0551922517[/C][/ROW]
[ROW][C]148[/C][C]94785[/C][C]55875.5143395983[/C][C]38909.4856604017[/C][/ROW]
[ROW][C]149[/C][C]8773[/C][C]12839.5671127552[/C][C]-4066.56711275517[/C][/ROW]
[ROW][C]150[/C][C]83209[/C][C]67458.8897968382[/C][C]15750.1102031618[/C][/ROW]
[ROW][C]151[/C][C]93815[/C][C]114911.394624847[/C][C]-21096.3946248466[/C][/ROW]
[ROW][C]152[/C][C]86687[/C][C]103807.033275926[/C][C]-17120.033275926[/C][/ROW]
[ROW][C]153[/C][C]34553[/C][C]32651.8775864099[/C][C]1901.1224135901[/C][/ROW]
[ROW][C]154[/C][C]105547[/C][C]131489.738979791[/C][C]-25942.738979791[/C][/ROW]
[ROW][C]155[/C][C]103487[/C][C]111399.028185135[/C][C]-7912.02818513475[/C][/ROW]
[ROW][C]156[/C][C]213688[/C][C]161942.14102204[/C][C]51745.8589779595[/C][/ROW]
[ROW][C]157[/C][C]71220[/C][C]80828.6844482239[/C][C]-9608.68444822391[/C][/ROW]
[ROW][C]158[/C][C]23517[/C][C]29171.8820722146[/C][C]-5654.88207221455[/C][/ROW]
[ROW][C]159[/C][C]56926[/C][C]49642.6155098468[/C][C]7283.38449015324[/C][/ROW]
[ROW][C]160[/C][C]91721[/C][C]75942.3551639511[/C][C]15778.6448360489[/C][/ROW]
[ROW][C]161[/C][C]115168[/C][C]119960.769399202[/C][C]-4792.7693992018[/C][/ROW]
[ROW][C]162[/C][C]111194[/C][C]28370.5906158993[/C][C]82823.4093841007[/C][/ROW]
[ROW][C]163[/C][C]51009[/C][C]46357.7441413324[/C][C]4651.25585866761[/C][/ROW]
[ROW][C]164[/C][C]135777[/C][C]112494.320915869[/C][C]23282.6790841306[/C][/ROW]
[ROW][C]165[/C][C]51513[/C][C]57724.1608877695[/C][C]-6211.16088776953[/C][/ROW]
[ROW][C]166[/C][C]74163[/C][C]103042.763315464[/C][C]-28879.7633154638[/C][/ROW]
[ROW][C]167[/C][C]51633[/C][C]73569.5680297413[/C][C]-21936.5680297413[/C][/ROW]
[ROW][C]168[/C][C]75345[/C][C]51609.8094789045[/C][C]23735.1905210955[/C][/ROW]
[ROW][C]169[/C][C]33416[/C][C]54629.5387517281[/C][C]-21213.5387517281[/C][/ROW]
[ROW][C]170[/C][C]83305[/C][C]57262.2450648368[/C][C]26042.7549351633[/C][/ROW]
[ROW][C]171[/C][C]98952[/C][C]79244.5897845207[/C][C]19707.4102154793[/C][/ROW]
[ROW][C]172[/C][C]102372[/C][C]101626.670756[/C][C]745.329244000023[/C][/ROW]
[ROW][C]173[/C][C]37238[/C][C]24905.6530403833[/C][C]12332.3469596167[/C][/ROW]
[ROW][C]174[/C][C]103772[/C][C]110400.322251054[/C][C]-6628.32225105407[/C][/ROW]
[ROW][C]175[/C][C]123969[/C][C]76518.5882368822[/C][C]47450.4117631178[/C][/ROW]
[ROW][C]176[/C][C]27142[/C][C]42007.1624670384[/C][C]-14865.1624670384[/C][/ROW]
[ROW][C]177[/C][C]135400[/C][C]101398.455993387[/C][C]34001.5440066131[/C][/ROW]
[ROW][C]178[/C][C]21399[/C][C]30131.1999292565[/C][C]-8732.19992925652[/C][/ROW]
[ROW][C]179[/C][C]130115[/C][C]115643.296338432[/C][C]14471.703661568[/C][/ROW]
[ROW][C]180[/C][C]24874[/C][C]35800.5395405182[/C][C]-10926.5395405182[/C][/ROW]
[ROW][C]181[/C][C]34988[/C][C]20339.7893922784[/C][C]14648.2106077216[/C][/ROW]
[ROW][C]182[/C][C]45549[/C][C]22473.7547227433[/C][C]23075.2452772567[/C][/ROW]
[ROW][C]183[/C][C]6023[/C][C]4219.5226396552[/C][C]1803.4773603448[/C][/ROW]
[ROW][C]184[/C][C]64466[/C][C]73193.5392838245[/C][C]-8727.53928382449[/C][/ROW]
[ROW][C]185[/C][C]54990[/C][C]104319.893628477[/C][C]-49329.8936284767[/C][/ROW]
[ROW][C]186[/C][C]1644[/C][C]1716.48131302434[/C][C]-72.4813130243401[/C][/ROW]
[ROW][C]187[/C][C]6179[/C][C]12013.0789195329[/C][C]-5834.07891953285[/C][/ROW]
[ROW][C]188[/C][C]3926[/C][C]5506.72210773725[/C][C]-1580.72210773725[/C][/ROW]
[ROW][C]189[/C][C]32755[/C][C]48543.2382297008[/C][C]-15788.2382297008[/C][/ROW]
[ROW][C]190[/C][C]34777[/C][C]32577.1901972725[/C][C]2199.80980272747[/C][/ROW]
[ROW][C]191[/C][C]73224[/C][C]56252.8527612431[/C][C]16971.1472387569[/C][/ROW]
[ROW][C]192[/C][C]27114[/C][C]33244.2189692021[/C][C]-6130.21896920205[/C][/ROW]
[ROW][C]193[/C][C]20760[/C][C]28263.7578065449[/C][C]-7503.75780654492[/C][/ROW]
[ROW][C]194[/C][C]37636[/C][C]32311.3127232453[/C][C]5324.68727675467[/C][/ROW]
[ROW][C]195[/C][C]65461[/C][C]72967.0634157186[/C][C]-7506.06341571855[/C][/ROW]
[ROW][C]196[/C][C]30080[/C][C]38506.7964531244[/C][C]-8426.79645312436[/C][/ROW]
[ROW][C]197[/C][C]24094[/C][C]35604.9756467132[/C][C]-11510.9756467132[/C][/ROW]
[ROW][C]198[/C][C]69008[/C][C]34075.5191984998[/C][C]34932.4808015002[/C][/ROW]
[ROW][C]199[/C][C]54968[/C][C]36324.282850939[/C][C]18643.717149061[/C][/ROW]
[ROW][C]200[/C][C]46090[/C][C]36155.3645536134[/C][C]9934.63544638661[/C][/ROW]
[ROW][C]201[/C][C]27507[/C][C]37972.823895623[/C][C]-10465.823895623[/C][/ROW]
[ROW][C]202[/C][C]10672[/C][C]26065.3447553589[/C][C]-15393.3447553589[/C][/ROW]
[ROW][C]203[/C][C]34029[/C][C]35705.4984687465[/C][C]-1676.49846874651[/C][/ROW]
[ROW][C]204[/C][C]46300[/C][C]46411.4084241237[/C][C]-111.408424123744[/C][/ROW]
[ROW][C]205[/C][C]24760[/C][C]34214.7350399438[/C][C]-9454.73503994381[/C][/ROW]
[ROW][C]206[/C][C]18779[/C][C]23545.9209315106[/C][C]-4766.9209315106[/C][/ROW]
[ROW][C]207[/C][C]21280[/C][C]31718.255932496[/C][C]-10438.255932496[/C][/ROW]
[ROW][C]208[/C][C]40662[/C][C]47219.1065618674[/C][C]-6557.10656186744[/C][/ROW]
[ROW][C]209[/C][C]28987[/C][C]40266.988026362[/C][C]-11279.988026362[/C][/ROW]
[ROW][C]210[/C][C]22827[/C][C]44951.0227872658[/C][C]-22124.0227872658[/C][/ROW]
[ROW][C]211[/C][C]18513[/C][C]28300.6702991971[/C][C]-9787.67029919713[/C][/ROW]
[ROW][C]212[/C][C]30594[/C][C]33150.7594936192[/C][C]-2556.75949361921[/C][/ROW]
[ROW][C]213[/C][C]24006[/C][C]30230.8375513026[/C][C]-6224.83755130257[/C][/ROW]
[ROW][C]214[/C][C]27913[/C][C]39936.1659619872[/C][C]-12023.1659619872[/C][/ROW]
[ROW][C]215[/C][C]42744[/C][C]25923.7449797311[/C][C]16820.2550202689[/C][/ROW]
[ROW][C]216[/C][C]12934[/C][C]33087.0723444474[/C][C]-20153.0723444474[/C][/ROW]
[ROW][C]217[/C][C]22574[/C][C]27176.9793842741[/C][C]-4602.97938427414[/C][/ROW]
[ROW][C]218[/C][C]41385[/C][C]26229.568787096[/C][C]15155.431212904[/C][/ROW]
[ROW][C]219[/C][C]18653[/C][C]32634.7754009487[/C][C]-13981.7754009487[/C][/ROW]
[ROW][C]220[/C][C]18472[/C][C]27402.985019334[/C][C]-8930.98501933401[/C][/ROW]
[ROW][C]221[/C][C]30976[/C][C]40172.8903237843[/C][C]-9196.89032378431[/C][/ROW]
[ROW][C]222[/C][C]63339[/C][C]64874.2533040382[/C][C]-1535.25330403817[/C][/ROW]
[ROW][C]223[/C][C]25568[/C][C]41248.2530042369[/C][C]-15680.2530042369[/C][/ROW]
[ROW][C]224[/C][C]33747[/C][C]40334.2282101047[/C][C]-6587.22821010466[/C][/ROW]
[ROW][C]225[/C][C]4154[/C][C]18010.0030112904[/C][C]-13856.0030112904[/C][/ROW]
[ROW][C]226[/C][C]19474[/C][C]33046.6436048003[/C][C]-13572.6436048003[/C][/ROW]
[ROW][C]227[/C][C]35130[/C][C]20194.4169310984[/C][C]14935.5830689016[/C][/ROW]
[ROW][C]228[/C][C]39067[/C][C]37953.7955855393[/C][C]1113.20441446068[/C][/ROW]
[ROW][C]229[/C][C]13310[/C][C]20517.9126945625[/C][C]-7207.91269456245[/C][/ROW]
[ROW][C]230[/C][C]65892[/C][C]37348.1442649455[/C][C]28543.8557350545[/C][/ROW]
[ROW][C]231[/C][C]4143[/C][C]17458.2150698187[/C][C]-13315.2150698187[/C][/ROW]
[ROW][C]232[/C][C]28579[/C][C]36771.3149161437[/C][C]-8192.3149161437[/C][/ROW]
[ROW][C]233[/C][C]51776[/C][C]41846.5320445958[/C][C]9929.46795540417[/C][/ROW]
[ROW][C]234[/C][C]21152[/C][C]26107.9775348219[/C][C]-4955.97753482187[/C][/ROW]
[ROW][C]235[/C][C]38084[/C][C]37873.247286813[/C][C]210.752713186977[/C][/ROW]
[ROW][C]236[/C][C]27717[/C][C]33481.3682853374[/C][C]-5764.36828533737[/C][/ROW]
[ROW][C]237[/C][C]32928[/C][C]35466.5888514761[/C][C]-2538.5888514761[/C][/ROW]
[ROW][C]238[/C][C]11342[/C][C]28552.4830030536[/C][C]-17210.4830030536[/C][/ROW]
[ROW][C]239[/C][C]19499[/C][C]33155.5723035805[/C][C]-13656.5723035805[/C][/ROW]
[ROW][C]240[/C][C]16380[/C][C]23340.2430761598[/C][C]-6960.2430761598[/C][/ROW]
[ROW][C]241[/C][C]36874[/C][C]34124.5621826038[/C][C]2749.43781739615[/C][/ROW]
[ROW][C]242[/C][C]48259[/C][C]60512.2489030279[/C][C]-12253.2489030279[/C][/ROW]
[ROW][C]243[/C][C]16734[/C][C]27527.9378458066[/C][C]-10793.9378458066[/C][/ROW]
[ROW][C]244[/C][C]28207[/C][C]27926.0357719774[/C][C]280.964228022613[/C][/ROW]
[ROW][C]245[/C][C]30143[/C][C]32005.5722509064[/C][C]-1862.57225090644[/C][/ROW]
[ROW][C]246[/C][C]41369[/C][C]37367.1094550598[/C][C]4001.89054494023[/C][/ROW]
[ROW][C]247[/C][C]45833[/C][C]39998.5702442857[/C][C]5834.42975571428[/C][/ROW]
[ROW][C]248[/C][C]29156[/C][C]30155.2423029071[/C][C]-999.242302907091[/C][/ROW]
[ROW][C]249[/C][C]35944[/C][C]21221.8090124923[/C][C]14722.1909875077[/C][/ROW]
[ROW][C]250[/C][C]36278[/C][C]22462.1433387455[/C][C]13815.8566612545[/C][/ROW]
[ROW][C]251[/C][C]45588[/C][C]49285.4051854647[/C][C]-3697.4051854647[/C][/ROW]
[ROW][C]252[/C][C]45097[/C][C]45667.2018570264[/C][C]-570.201857026419[/C][/ROW]
[ROW][C]253[/C][C]3895[/C][C]4592.72418485628[/C][C]-697.724184856284[/C][/ROW]
[ROW][C]254[/C][C]28394[/C][C]31938.2258310819[/C][C]-3544.22583108192[/C][/ROW]
[ROW][C]255[/C][C]18632[/C][C]30276.0698300857[/C][C]-11644.0698300857[/C][/ROW]
[ROW][C]256[/C][C]2325[/C][C]5164.21900824543[/C][C]-2839.21900824543[/C][/ROW]
[ROW][C]257[/C][C]25139[/C][C]19209.1643178111[/C][C]5929.83568218888[/C][/ROW]
[ROW][C]258[/C][C]27975[/C][C]27958.5996479911[/C][C]16.4003520089319[/C][/ROW]
[ROW][C]259[/C][C]14483[/C][C]25890.1084965497[/C][C]-11407.1084965497[/C][/ROW]
[ROW][C]260[/C][C]13127[/C][C]19113.0477248815[/C][C]-5986.04772488149[/C][/ROW]
[ROW][C]261[/C][C]5839[/C][C]14389.1152989192[/C][C]-8550.11529891921[/C][/ROW]
[ROW][C]262[/C][C]24069[/C][C]38554.178445814[/C][C]-14485.178445814[/C][/ROW]
[ROW][C]263[/C][C]3738[/C][C]6639.88144147483[/C][C]-2901.88144147483[/C][/ROW]
[ROW][C]264[/C][C]18625[/C][C]29596.144875409[/C][C]-10971.144875409[/C][/ROW]
[ROW][C]265[/C][C]36341[/C][C]24676.9774918024[/C][C]11664.0225081976[/C][/ROW]
[ROW][C]266[/C][C]24548[/C][C]32730.5911218731[/C][C]-8182.59112187307[/C][/ROW]
[ROW][C]267[/C][C]21792[/C][C]35316.215653096[/C][C]-13524.215653096[/C][/ROW]
[ROW][C]268[/C][C]26263[/C][C]20539.7011663949[/C][C]5723.29883360515[/C][/ROW]
[ROW][C]269[/C][C]23686[/C][C]40071.6023407644[/C][C]-16385.6023407644[/C][/ROW]
[ROW][C]270[/C][C]49303[/C][C]38324.4836255038[/C][C]10978.5163744962[/C][/ROW]
[ROW][C]271[/C][C]25659[/C][C]35832.2062913813[/C][C]-10173.2062913813[/C][/ROW]
[ROW][C]272[/C][C]28904[/C][C]29427.6310474442[/C][C]-523.631047444188[/C][/ROW]
[ROW][C]273[/C][C]2781[/C][C]220.158805590691[/C][C]2560.84119440931[/C][/ROW]
[ROW][C]274[/C][C]29236[/C][C]35483.6986505005[/C][C]-6247.69865050048[/C][/ROW]
[ROW][C]275[/C][C]19546[/C][C]21478.1827944076[/C][C]-1932.18279440765[/C][/ROW]
[ROW][C]276[/C][C]22818[/C][C]21745.1535671981[/C][C]1072.84643280187[/C][/ROW]
[ROW][C]277[/C][C]32689[/C][C]12608.6165642602[/C][C]20080.3834357398[/C][/ROW]
[ROW][C]278[/C][C]5752[/C][C]7420.56360605884[/C][C]-1668.56360605884[/C][/ROW]
[ROW][C]279[/C][C]22197[/C][C]35199.1660738139[/C][C]-13002.1660738139[/C][/ROW]
[ROW][C]280[/C][C]20055[/C][C]30752.0562583719[/C][C]-10697.0562583719[/C][/ROW]
[ROW][C]281[/C][C]25272[/C][C]30822.1119821821[/C][C]-5550.11198218207[/C][/ROW]
[ROW][C]282[/C][C]82206[/C][C]19412.2796356484[/C][C]62793.7203643516[/C][/ROW]
[ROW][C]283[/C][C]32073[/C][C]19435.0905914201[/C][C]12637.9094085799[/C][/ROW]
[ROW][C]284[/C][C]5444[/C][C]5620.7517469243[/C][C]-176.751746924301[/C][/ROW]
[ROW][C]285[/C][C]20154[/C][C]25381.3291096127[/C][C]-5227.32910961275[/C][/ROW]
[ROW][C]286[/C][C]36944[/C][C]22734.4051526583[/C][C]14209.5948473417[/C][/ROW]
[ROW][C]287[/C][C]8019[/C][C]17224.2182479821[/C][C]-9205.21824798208[/C][/ROW]
[ROW][C]288[/C][C]30884[/C][C]40851.4803980735[/C][C]-9967.48039807347[/C][/ROW]
[ROW][C]289[/C][C]19540[/C][C]32637.404492067[/C][C]-13097.404492067[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156627&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156627&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
1112285103935.9130240268349.08697597353
28478679686.56165066335099.4383493367
38312380008.03008318553114.96991681446
410119398970.76102098452222.23897901545
53836150963.4680310916-12602.4680310916
66850447379.668787715621124.3312122844
7119182122916.326848808-3734.32684880788
82280718405.1664252294401.83357477102
91714023494.0660880032-6354.06608800315
1011617484610.797315313831563.2026846862
115763568437.3085104707-10802.3085104707
1266198102926.140582011-36728.1405820108
137170184237.4819320621-12536.4819320621
145779353082.46514370674710.53485629331
158044488233.8494893518-7789.84948935177
165385571947.025218367-18092.025218367
1797668125732.596704064-28064.5967040639
18133824105829.53149099627994.4685090043
1910148183943.63000439717537.369995603
209964581800.806663072417844.1933369276
2111478990418.447836579224370.5521634208
2299052111768.104113777-12716.1041137773
236765486421.1079397419-18767.1079397419
246555369828.8242575514-4275.82425755138
259750083287.949286174814212.0507138252
266911291695.6146248379-22583.6146248379
278275387557.2851874156-4804.28518741562
288532390775.8750852375-5452.87508523752
297265499061.1688631856-26407.1688631856
303072749138.0886881993-18411.0886881993
3177873102414.146810706-24541.1468107062
32117478120863.286508182-3385.28650818185
337400778832.8267557577-4825.8267557577
3490183121579.141361046-31396.1413610457
356154237920.62856630623621.371433694
36101494127417.720493891-25923.7204938908
372757040749.4766235249-13179.4766235249
385581361161.7461360355-5348.74613603551
3979215108518.044397615-29303.0443976151
401423587.614841992078835.385158007922
415546172143.9929690975-16682.9929690975
423108142722.3885305212-11641.3885305212
432299632920.5864298047-9924.58642980467
4483122106440.619220283-23318.6192202829
457010691412.5733946523-21306.5733946523
466057870040.8764543214-9462.87645432138
473999253271.2425570228-13279.2425570228
487989280906.0000376479-1014.00003764786
494981053512.8471902938-3702.84719029381
507157045577.386996620425992.6130033796
5110070868187.626419260332520.3735807397
523303243730.9027463749-10698.9027463749
538287589682.0148745015-6807.01487450147
54139077111361.52786539927715.4721346015
557159582879.3758019066-11284.3758019066
567226093340.8413787336-21080.8413787336
5759509702.31150963662-3752.31150963662
58115762104297.06025248711464.9397475128
593255127234.4048244235316.59517557701
603170132419.4690605303-718.469060530334
618067089004.6690877313-8334.6690877313
62143558124742.93441181518815.0655881854
6311710592029.283747702125075.7162522979
642378935030.2181123136-11241.2181123136
65120733126013.249680964-5280.24968096355
66105195130143.875793441-24948.8757934411
677310764535.66101169718571.33898830292
68132068120630.37995085911437.6200491407
69149193134878.62685209214314.3731479077
704682168863.3383361078-22042.3383361078
718701185885.35457238961125.64542761041
7295260101999.897293106-6739.89729310603
735518382894.3513873756-27711.3513873756
7410667170361.503408760836309.4965912392
757351193449.4937294721-19938.4937294721
769294578492.916848360414452.0831516396
777866463648.808206765215015.1917932348
787005481509.0495478043-11455.0495478043
792261831539.6425777682-8921.64257776825
807401185599.0965017934-11588.0965017934
818373778473.85708000745263.14291999257
826909479140.0907800116-10046.0907800116
839313389558.54528378473574.45471621534
849553697001.1078590354-1465.10785903541
8522592082062.3904101753143857.609589825
866213369049.5550020945-6916.5550020945
876137068273.3049015037-6903.30490150368
884383653698.2584982802-9862.25849828018
89106117105056.4532481141060.54675188639
903869254132.1617440781-15440.1617440781
918465183118.9582453121532.04175468801
925662234630.520246063821991.4797539362
931598634074.2265891289-18088.2265891289
949536485933.04954476089430.95045523919
952670644576.6060273395-17870.6060273395
968969178202.354701888911488.6452981111
9767267104275.782355989-37008.7823559888
98126846100907.78108342425938.2189165759
994114068001.4899394896-26861.4899394896
10010286093180.19706953339679.80293046666
1015171553445.2083367906-1730.20833679057
1025580172231.31973772-16430.31973772
103111813103569.5585045718243.44149542915
10412029385260.436157515435032.5638424846
105138599105540.76149673833058.2385032622
106161647130402.5293094931244.4706905097
107115929128614.093027329-12685.0930273294
1082426636966.9891220338-12700.9891220338
109162901139374.48245559423526.5175444059
110109825104928.2203821594896.77961784132
111129838118134.10606463311703.8939353671
1123751058171.5794028876-20661.5794028876
1134375033441.60184561210308.398154388
1144065259864.0692365847-19212.0692365847
11587771112394.167373029-24623.1673730287
11685872100736.417701491-14864.4177014908
1178927596274.804041337-6999.80404133696
1184441858073.441938332-13655.441938332
11919256590249.4808321217102315.519167878
1203523227625.4447155677606.55528443302
1214090958539.2374489575-17630.2374489575
1221329422620.776791046-9326.77679104603
1233238743576.8960446903-11189.8960446903
12414086757103.691824519583763.3081754805
12512066297608.818838508323053.1811614917
1262123325116.4852538466-3883.48525384661
1274433230679.270145758413652.7298542416
1286105660190.1276715232865.872328476851
12910133896688.94059823134649.05940176868
13011682269.92212050684-1101.92212050684
131134978549.74489268814947.25510731189
1326556783430.4964988977-17863.4964988977
1332516220380.89399987764781.1060001224
1343233448052.7902983317-15718.7902983317
1354073565555.5027425602-24820.5027425602
13691413123575.249851219-32162.2498512193
1378551920.9696709622-1065.9696709622
1389706871143.080419399825924.9195806002
1394433917663.062026365826675.9379736342
1401411616592.5515678795-2476.5515678795
1411028820727.5536359946-10439.5536359946
1426562257714.27792326167907.72207673842
1431656321287.946796461-4724.94679646099
1447664397970.3702143235-21327.3702143235
14511068181715.780807715728965.2191922843
1462901126060.91476528912950.08523471093
1479269645457.944807748347238.0551922517
1489478555875.514339598338909.4856604017
149877312839.5671127552-4066.56711275517
1508320967458.889796838215750.1102031618
15193815114911.394624847-21096.3946248466
15286687103807.033275926-17120.033275926
1533455332651.87758640991901.1224135901
154105547131489.738979791-25942.738979791
155103487111399.028185135-7912.02818513475
156213688161942.1410220451745.8589779595
1577122080828.6844482239-9608.68444822391
1582351729171.8820722146-5654.88207221455
1595692649642.61550984687283.38449015324
1609172175942.355163951115778.6448360489
161115168119960.769399202-4792.7693992018
16211119428370.590615899382823.4093841007
1635100946357.74414133244651.25585866761
164135777112494.32091586923282.6790841306
1655151357724.1608877695-6211.16088776953
16674163103042.763315464-28879.7633154638
1675163373569.5680297413-21936.5680297413
1687534551609.809478904523735.1905210955
1693341654629.5387517281-21213.5387517281
1708330557262.245064836826042.7549351633
1719895279244.589784520719707.4102154793
172102372101626.670756745.329244000023
1733723824905.653040383312332.3469596167
174103772110400.322251054-6628.32225105407
17512396976518.588236882247450.4117631178
1762714242007.1624670384-14865.1624670384
177135400101398.45599338734001.5440066131
1782139930131.1999292565-8732.19992925652
179130115115643.29633843214471.703661568
1802487435800.5395405182-10926.5395405182
1813498820339.789392278414648.2106077216
1824554922473.754722743323075.2452772567
18360234219.52263965521803.4773603448
1846446673193.5392838245-8727.53928382449
18554990104319.893628477-49329.8936284767
18616441716.48131302434-72.4813130243401
187617912013.0789195329-5834.07891953285
18839265506.72210773725-1580.72210773725
1893275548543.2382297008-15788.2382297008
1903477732577.19019727252199.80980272747
1917322456252.852761243116971.1472387569
1922711433244.2189692021-6130.21896920205
1932076028263.7578065449-7503.75780654492
1943763632311.31272324535324.68727675467
1956546172967.0634157186-7506.06341571855
1963008038506.7964531244-8426.79645312436
1972409435604.9756467132-11510.9756467132
1986900834075.519198499834932.4808015002
1995496836324.28285093918643.717149061
2004609036155.36455361349934.63544638661
2012750737972.823895623-10465.823895623
2021067226065.3447553589-15393.3447553589
2033402935705.4984687465-1676.49846874651
2044630046411.4084241237-111.408424123744
2052476034214.7350399438-9454.73503994381
2061877923545.9209315106-4766.9209315106
2072128031718.255932496-10438.255932496
2084066247219.1065618674-6557.10656186744
2092898740266.988026362-11279.988026362
2102282744951.0227872658-22124.0227872658
2111851328300.6702991971-9787.67029919713
2123059433150.7594936192-2556.75949361921
2132400630230.8375513026-6224.83755130257
2142791339936.1659619872-12023.1659619872
2154274425923.744979731116820.2550202689
2161293433087.0723444474-20153.0723444474
2172257427176.9793842741-4602.97938427414
2184138526229.56878709615155.431212904
2191865332634.7754009487-13981.7754009487
2201847227402.985019334-8930.98501933401
2213097640172.8903237843-9196.89032378431
2226333964874.2533040382-1535.25330403817
2232556841248.2530042369-15680.2530042369
2243374740334.2282101047-6587.22821010466
225415418010.0030112904-13856.0030112904
2261947433046.6436048003-13572.6436048003
2273513020194.416931098414935.5830689016
2283906737953.79558553931113.20441446068
2291331020517.9126945625-7207.91269456245
2306589237348.144264945528543.8557350545
231414317458.2150698187-13315.2150698187
2322857936771.3149161437-8192.3149161437
2335177641846.53204459589929.46795540417
2342115226107.9775348219-4955.97753482187
2353808437873.247286813210.752713186977
2362771733481.3682853374-5764.36828533737
2373292835466.5888514761-2538.5888514761
2381134228552.4830030536-17210.4830030536
2391949933155.5723035805-13656.5723035805
2401638023340.2430761598-6960.2430761598
2413687434124.56218260382749.43781739615
2424825960512.2489030279-12253.2489030279
2431673427527.9378458066-10793.9378458066
2442820727926.0357719774280.964228022613
2453014332005.5722509064-1862.57225090644
2464136937367.10945505984001.89054494023
2474583339998.57024428575834.42975571428
2482915630155.2423029071-999.242302907091
2493594421221.809012492314722.1909875077
2503627822462.143338745513815.8566612545
2514558849285.4051854647-3697.4051854647
2524509745667.2018570264-570.201857026419
25338954592.72418485628-697.724184856284
2542839431938.2258310819-3544.22583108192
2551863230276.0698300857-11644.0698300857
25623255164.21900824543-2839.21900824543
2572513919209.16431781115929.83568218888
2582797527958.599647991116.4003520089319
2591448325890.1084965497-11407.1084965497
2601312719113.0477248815-5986.04772488149
261583914389.1152989192-8550.11529891921
2622406938554.178445814-14485.178445814
26337386639.88144147483-2901.88144147483
2641862529596.144875409-10971.144875409
2653634124676.977491802411664.0225081976
2662454832730.5911218731-8182.59112187307
2672179235316.215653096-13524.215653096
2682626320539.70116639495723.29883360515
2692368640071.6023407644-16385.6023407644
2704930338324.483625503810978.5163744962
2712565935832.2062913813-10173.2062913813
2722890429427.6310474442-523.631047444188
2732781220.1588055906912560.84119440931
2742923635483.6986505005-6247.69865050048
2751954621478.1827944076-1932.18279440765
2762281821745.15356719811072.84643280187
2773268912608.616564260220080.3834357398
27857527420.56360605884-1668.56360605884
2792219735199.1660738139-13002.1660738139
2802005530752.0562583719-10697.0562583719
2812527230822.1119821821-5550.11198218207
2828220619412.279635648462793.7203643516
2833207319435.090591420112637.9094085799
28454445620.7517469243-176.751746924301
2852015425381.3291096127-5227.32910961275
2863694422734.405152658314209.5948473417
287801917224.2182479821-9205.21824798208
2883088440851.4803980735-9967.48039807347
2891954032637.404492067-13097.404492067






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.1562100573864970.3124201147729940.843789942613503
90.0646255599623120.1292511199246240.935374440037688
100.04455199656474290.08910399312948590.955448003435257
110.04746878056921080.09493756113842170.952531219430789
120.1968475916097540.3936951832195080.803152408390246
130.2254851199254920.4509702398509840.774514880074508
140.1670851528412370.3341703056824730.832914847158763
150.1117422788308740.2234845576617490.888257721169126
160.07151840100114360.1430368020022870.928481598998856
170.08318108961562510.166362179231250.916818910384375
180.1476744244160020.2953488488320040.852325575583998
190.1721945839059240.3443891678118490.827805416094076
200.1304815883011210.2609631766022420.869518411698879
210.1824562904102990.3649125808205970.817543709589701
220.1785450340900550.357090068180110.821454965909945
230.1592700183109540.3185400366219090.840729981689046
240.1188926759719180.2377853519438350.881107324028082
250.1040170599290470.2080341198580950.895982940070953
260.1735287654762550.347057530952510.826471234523745
270.1341916997570720.2683833995141440.865808300242928
280.1016461615631240.2032923231262480.898353838436876
290.1016989593978490.2033979187956970.898301040602151
300.09970650843766660.1994130168753330.900293491562333
310.07795171582776720.1559034316555340.922048284172233
320.05900410447004440.1180082089400890.940995895529956
330.04349321605383650.0869864321076730.956506783946164
340.03724443335913460.07448886671826930.962755566640865
350.05364054158044790.1072810831608960.946359458419552
360.05729173156377410.1145834631275480.942708268436226
370.04993934746698580.09987869493397160.950060652533014
380.03817286185188050.0763457237037610.961827138148119
390.03132487348099680.06264974696199350.968675126519003
400.02668478347458930.05336956694917860.973315216525411
410.02359774362484370.04719548724968740.976402256375156
420.01971242669408230.03942485338816460.980287573305918
430.01837891998075880.03675783996151760.981621080019241
440.01693075116788440.03386150233576880.983069248832116
450.01454313191988160.02908626383976320.985456868080118
460.01105683185100420.02211366370200840.988943168148996
470.01051482729026910.02102965458053830.989485172709731
480.008344907081459920.01668981416291980.99165509291854
490.005962997467037130.01192599493407430.994037002532963
500.01276946148945530.02553892297891050.987230538510545
510.03164806153415520.06329612306831050.968351938465845
520.02502104316576350.0500420863315270.974978956834237
530.01931666597059230.03863333194118460.980683334029408
540.03987250701356140.07974501402712280.960127492986439
550.03387693640738940.06775387281477890.966123063592611
560.03000297946720540.06000595893441080.969997020532795
570.02391222905754430.04782445811508860.976087770942456
580.0221269641905580.04425392838111590.977873035809442
590.01703657901350720.03407315802701440.982963420986493
600.01281458289340390.02562916578680780.987185417106596
610.009763973058670260.01952794611734050.99023602694133
620.01473199364737270.02946398729474540.985268006352627
630.01943691599211110.03887383198422220.980563084007889
640.0158265243050570.03165304861011390.984173475694943
650.01313298046510560.02626596093021130.986867019534894
660.0135088952108820.02701779042176410.986491104789118
670.01117050172263210.02234100344526420.988829498277368
680.0109216100558180.0218432201116360.989078389944182
690.01134579232463990.02269158464927990.98865420767536
700.01096477733298290.02192955466596590.989035222667017
710.008403146556352280.01680629311270460.991596853443648
720.00642235440053930.01284470880107860.993577645599461
730.007669233677513480.0153384673550270.992330766322487
740.01278410325966420.02556820651932840.987215896740336
750.01177662416187240.02355324832374490.988223375838128
760.009464948009270760.01892989601854150.990535051990729
770.00848211214643390.01696422429286780.991517887853566
780.006747908889137760.01349581777827550.993252091110862
790.005376417827164780.01075283565432960.994623582172835
800.004193054924374330.008386109848748660.995806945075626
810.003138138990887850.00627627798177570.996861861009112
820.002665237407941160.005330474815882320.997334762592059
830.002026043594124450.004052087188248910.997973956405875
840.001480569983391480.002961139966782960.998519430016608
850.9709409518103030.05811809637939490.0290590481896975
860.9649288187787260.07014236244254810.035071181221274
870.9579309177827710.0841381644344590.0420690822172295
880.9509879241006250.09802415179874910.0490120758993745
890.9412998707841360.1174002584317280.0587001292158641
900.9361312757703940.1277374484592130.0638687242296063
910.9240452064567380.1519095870865250.0759547935432624
920.9224789110760480.1550421778479040.0775210889239518
930.9186991335538190.1626017328923620.0813008664461808
940.9116348841150590.1767302317698820.0883651158849412
950.9081183896433090.1837632207133820.091881610356691
960.8976801874385790.2046396251228420.102319812561421
970.9227037435331370.1545925129337260.0772962564668628
980.9327587570009880.1344824859980230.0672412429990116
990.939530309849860.120939380300280.06046969015014
1000.9303016276536180.1393967446927650.0696983723463824
1010.9178428441400820.1643143117198360.082157155859918
1020.9124406089865870.1751187820268260.0875593910134131
1030.9010379587273230.1979240825453540.098962041272677
1040.9258488325647090.1483023348705820.0741511674352909
1050.9406006801831730.1187986396336540.0593993198168269
1060.9504938886032370.09901222279352550.0495061113967628
1070.9448863352130980.1102273295738040.0551136647869018
1080.9385298092792390.1229403814415210.0614701907207606
1090.9442106063988780.1115787872022430.0557893936011217
1100.9363385978692460.1273228042615080.0636614021307541
1110.9290002825657010.1419994348685990.0709997174342994
1120.9306320199681630.1387359600636740.0693679800318372
1130.9215569488088370.1568861023823250.0784430511911626
1140.9197292534141220.1605414931717560.080270746585878
1150.9231328843835240.1537342312329520.0768671156164759
1160.9169220572036120.1661558855927750.0830779427963877
1170.9047450144060840.1905099711878330.0952549855939164
1180.8967267736131210.2065464527737570.103273226386879
1190.9993448276072120.001310344785575850.000655172392787926
1200.9991566435089410.001686712982117880.000843356491058942
1210.9990782686471310.001843462705737120.000921731352868562
1220.9988402489057050.002319502188589240.00115975109429462
1230.9985812636954770.002837472609045440.00141873630452272
1240.9999917902898311.6419420338608e-058.20971016930398e-06
1250.9999938253361741.23493276510552e-056.17466382552759e-06
1260.9999910810427181.7837914565066e-058.91895728253302e-06
1270.9999894518330872.10963338262403e-051.05481669131201e-05
1280.99998490240213.01951957999193e-051.50975978999596e-05
1290.9999786708335554.26583328900125e-052.13291664450062e-05
1300.9999697146446146.05707107711293e-053.02853553855646e-05
1310.9999575905316988.48189366037378e-054.24094683018689e-05
1320.9999572380619668.5523876068829e-054.27619380344145e-05
1330.9999410857502720.0001178284994557045.89142497278518e-05
1340.9999381753148230.0001236493703541956.18246851770974e-05
1350.9999588706274938.22587450134072e-054.11293725067036e-05
1360.9999705380294795.89239410427466e-052.94619705213733e-05
1370.9999587381737618.25236524781716e-054.12618262390858e-05
1380.999977040904014.59181919792278e-052.29590959896139e-05
1390.999982186448663.56271026806244e-051.78135513403122e-05
1400.9999745030644115.09938711779524e-052.54969355889762e-05
1410.999966706932756.65861345003704e-053.32930672501852e-05
1420.999955918355648.81632887191573e-054.40816443595787e-05
1430.9999399701491770.0001200597016450696.00298508225346e-05
1440.9999340258486820.0001319483026351756.59741513175877e-05
1450.9999454319231180.0001091361537633255.45680768816626e-05
1460.9999230467390350.0001539065219305497.69532609652746e-05
1470.9999779434041554.41131916903329e-052.20565958451665e-05
1480.9999919761355221.60477289558168e-058.0238644779084e-06
1490.9999883877079392.32245841230326e-051.16122920615163e-05
1500.9999860886437552.78227124893723e-051.39113562446862e-05
1510.9999874515238872.50969522257566e-051.25484761128783e-05
1520.999988064182022.38716359600966e-051.19358179800483e-05
1530.9999830321500833.39356998341329e-051.69678499170665e-05
1540.9999873289844832.53420310348252e-051.26710155174126e-05
1550.9999822892643163.54214713674223e-051.77107356837111e-05
1560.9999987399656242.52006875199438e-061.26003437599719e-06
1570.9999981850480253.62990394996937e-061.81495197498469e-06
1580.9999973244985055.35100298912036e-062.67550149456018e-06
1590.9999962154693877.56906122662588e-063.78453061331294e-06
1600.9999954061117469.18777650704991e-064.59388825352495e-06
1610.9999934908297041.30183405910855e-056.50917029554275e-06
1620.999999997513334.97333979602829e-092.48666989801415e-09
1630.9999999958015278.39694592611993e-094.19847296305997e-09
1640.99999999629817.40379968298278e-093.70189984149139e-09
1650.9999999940958731.18082532028574e-085.90412660142871e-09
1660.9999999964321327.13573564127867e-093.56786782063934e-09
1670.9999999968767216.24655864216466e-093.12327932108233e-09
1680.9999999976479224.70415605831604e-092.35207802915802e-09
1690.9999999975288364.94232747380623e-092.47116373690312e-09
1700.9999999993145461.37090775665864e-096.85453878329318e-10
1710.9999999996644546.71092641172545e-103.35546320586272e-10
1720.9999999994477791.10444117416823e-095.52220587084114e-10
1730.9999999992532941.49341270839486e-097.4670635419743e-10
1740.9999999988894022.22119510867508e-091.11059755433754e-09
1750.9999999999614527.70955949953006e-113.85477974976503e-11
1760.9999999999493431.01313487613004e-105.0656743806502e-11
1770.9999999999960057.98996065012396e-123.99498032506198e-12
1780.9999999999930181.39632609184262e-116.98163045921309e-12
1790.9999999999981753.64913084346193e-121.82456542173097e-12
1800.9999999999968386.32464537941888e-123.16232268970944e-12
1810.9999999999958828.23639837502543e-124.11819918751271e-12
1820.9999999999980073.98602425582955e-121.99301212791477e-12
1830.9999999999961587.68344168317863e-123.84172084158931e-12
1840.999999999993151.3700301910228e-116.850150955114e-12
1850.9999999999993051.38938716754121e-126.94693583770603e-13
1860.9999999999986292.74135814639241e-121.37067907319621e-12
1870.9999999999976084.78316318538417e-122.39158159269209e-12
1880.999999999995379.25899111593977e-124.62949555796988e-12
1890.9999999999938461.23085076831691e-116.15425384158456e-12
1900.9999999999889782.2044239258345e-111.10221196291725e-11
1910.999999999995968.07920724850765e-124.03960362425383e-12
1920.9999999999921351.57301659464594e-117.86508297322968e-12
1930.9999999999861082.77839265125826e-111.38919632562913e-11
1940.9999999999801413.9717884789899e-111.98589423949495e-11
1950.9999999999627377.4525102621291e-113.72625513106455e-11
1960.9999999999478521.04295666182109e-105.21478330910545e-11
1970.9999999999057681.88464268024021e-109.42321340120106e-11
1980.9999999999915721.68569616393048e-118.42848081965241e-12
1990.9999999999930411.39185313997419e-116.95926569987097e-12
2000.9999999999904081.91830494544137e-119.59152472720683e-12
2010.9999999999821383.57250620464437e-111.78625310232218e-11
2020.999999999978364.32809748776928e-112.16404874388464e-11
2030.9999999999577088.4583547997673e-114.22917739988365e-11
2040.9999999999339811.32038304540062e-106.60191522700309e-11
2050.999999999879072.41859114621197e-101.20929557310599e-10
2060.9999999997700644.5987286394342e-102.2993643197171e-10
2070.99999999958478.30600893080944e-104.15300446540472e-10
2080.999999999203731.59254012179602e-097.96270060898008e-10
2090.9999999986670382.66592334684349e-091.33296167342175e-09
2100.9999999989343142.13137178562031e-091.06568589281015e-09
2110.9999999983507333.29853426391307e-091.64926713195654e-09
2120.9999999968456136.30877476314843e-093.15438738157422e-09
2130.9999999940719871.18560250837411e-085.92801254187057e-09
2140.9999999896364992.07270010006251e-081.03635005003126e-08
2150.999999992851151.42976992224459e-087.14884961122294e-09
2160.9999999913915561.72168880169596e-088.60844400847981e-09
2170.9999999841461283.17077442020754e-081.58538721010377e-08
2180.9999999830222353.3955529617202e-081.6977764808601e-08
2190.9999999780899794.38200428495624e-082.19100214247812e-08
2200.9999999650390566.99218888481956e-083.49609444240978e-08
2210.9999999376327071.24734585599417e-076.23672927997083e-08
2220.9999998913448442.17310311046901e-071.0865515552345e-07
2230.9999998665930032.66813993244949e-071.33406996622475e-07
2240.9999997559548094.88090382204311e-072.44045191102155e-07
2250.9999996980837296.03832542852012e-073.01916271426006e-07
2260.9999997481414315.03717138252011e-072.51858569126005e-07
2270.9999996295332677.40933465878378e-073.70466732939189e-07
2280.9999993201927431.35961451329015e-066.79807256645073e-07
2290.9999990153779891.96924402263123e-069.84622011315616e-07
2300.9999998966620132.06675974289062e-071.03337987144531e-07
2310.9999998442492483.11501503624289e-071.55750751812144e-07
2320.9999997064901625.87019676784411e-072.93509838392206e-07
2330.9999995602507488.79498503658386e-074.39749251829193e-07
2340.9999991760553171.64788936652742e-068.23944683263712e-07
2350.9999985982052812.80358943694572e-061.40179471847286e-06
2360.9999974857952515.02840949859502e-062.51420474929751e-06
2370.9999953920411119.21591777842929e-064.60795888921464e-06
2380.9999962987726167.40245476872632e-063.70122738436316e-06
2390.9999944916091471.10167817065327e-055.50839085326635e-06
2400.9999914495812981.71008374037885e-058.55041870189423e-06
2410.9999853217789672.93564420654714e-051.46782210327357e-05
2420.9999745603298815.08793402380878e-052.54396701190439e-05
2430.99996344396747.31120651999839e-053.6556032599992e-05
2440.999939273232240.0001214535355192486.07267677596239e-05
2450.9998949865357640.0002100269284728640.000105013464236432
2460.9998381356404610.0003237287190786210.000161864359539311
2470.9997812149920780.0004375700158440920.000218785007922046
2480.9996296332079210.0007407335841584190.00037036679207921
2490.9994934019325740.001013196134851180.000506598067425588
2500.999683766205010.0006324675899793630.000316233794989682
2510.9994902620264980.001019475947003210.000509737973501607
2520.9992152959207950.001569408158410830.000784704079205413
2530.9987851671864390.002429665627122160.00121483281356108
2540.998077431780450.003845136439100880.00192256821955044
2550.997108487053140.005783025893719260.00289151294685963
2560.9959710713690820.008057857261836180.00402892863091809
2570.9941039504799110.0117920990401790.00589604952008951
2580.9918642824568670.01627143508626610.00813571754313305
2590.9876239755437910.0247520489124190.0123760244562095
2600.9816250982064680.03674980358706420.0183749017935321
2610.9801778707494750.03964425850105020.0198221292505251
2620.9706562580946140.05868748381077240.0293437419053862
2630.9613618823703910.07727623525921830.0386381176296091
2640.9447693735697240.1104612528605520.055230626430276
2650.9322741045406660.1354517909186680.0677258954593341
2660.9095940773692430.1808118452615150.0904059226307573
2670.8808460479859150.238307904028170.119153952014085
2680.847010117254680.3059797654906410.15298988274532
2690.7995450881335140.4009098237329720.200454911866486
2700.8056671409171070.3886657181657860.194332859082893
2710.7542056090907810.4915887818184380.245794390909219
2720.6882550572211050.623489885557790.311744942778895
2730.6226810727708330.7546378544583330.377318927229167
2740.5452045384353550.909590923129290.454795461564645
2750.4635269108761330.9270538217522660.536473089123867
2760.4492774718602590.8985549437205180.550722528139741
2770.3558996023852130.7117992047704260.644100397614787
2780.2611542159144330.5223084318288670.738845784085567
2790.1994281798673990.3988563597347990.800571820132601
2800.1400055066749290.2800110133498580.859994493325071
2810.07627911270050280.1525582254010060.923720887299497

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.156210057386497 & 0.312420114772994 & 0.843789942613503 \tabularnewline
9 & 0.064625559962312 & 0.129251119924624 & 0.935374440037688 \tabularnewline
10 & 0.0445519965647429 & 0.0891039931294859 & 0.955448003435257 \tabularnewline
11 & 0.0474687805692108 & 0.0949375611384217 & 0.952531219430789 \tabularnewline
12 & 0.196847591609754 & 0.393695183219508 & 0.803152408390246 \tabularnewline
13 & 0.225485119925492 & 0.450970239850984 & 0.774514880074508 \tabularnewline
14 & 0.167085152841237 & 0.334170305682473 & 0.832914847158763 \tabularnewline
15 & 0.111742278830874 & 0.223484557661749 & 0.888257721169126 \tabularnewline
16 & 0.0715184010011436 & 0.143036802002287 & 0.928481598998856 \tabularnewline
17 & 0.0831810896156251 & 0.16636217923125 & 0.916818910384375 \tabularnewline
18 & 0.147674424416002 & 0.295348848832004 & 0.852325575583998 \tabularnewline
19 & 0.172194583905924 & 0.344389167811849 & 0.827805416094076 \tabularnewline
20 & 0.130481588301121 & 0.260963176602242 & 0.869518411698879 \tabularnewline
21 & 0.182456290410299 & 0.364912580820597 & 0.817543709589701 \tabularnewline
22 & 0.178545034090055 & 0.35709006818011 & 0.821454965909945 \tabularnewline
23 & 0.159270018310954 & 0.318540036621909 & 0.840729981689046 \tabularnewline
24 & 0.118892675971918 & 0.237785351943835 & 0.881107324028082 \tabularnewline
25 & 0.104017059929047 & 0.208034119858095 & 0.895982940070953 \tabularnewline
26 & 0.173528765476255 & 0.34705753095251 & 0.826471234523745 \tabularnewline
27 & 0.134191699757072 & 0.268383399514144 & 0.865808300242928 \tabularnewline
28 & 0.101646161563124 & 0.203292323126248 & 0.898353838436876 \tabularnewline
29 & 0.101698959397849 & 0.203397918795697 & 0.898301040602151 \tabularnewline
30 & 0.0997065084376666 & 0.199413016875333 & 0.900293491562333 \tabularnewline
31 & 0.0779517158277672 & 0.155903431655534 & 0.922048284172233 \tabularnewline
32 & 0.0590041044700444 & 0.118008208940089 & 0.940995895529956 \tabularnewline
33 & 0.0434932160538365 & 0.086986432107673 & 0.956506783946164 \tabularnewline
34 & 0.0372444333591346 & 0.0744888667182693 & 0.962755566640865 \tabularnewline
35 & 0.0536405415804479 & 0.107281083160896 & 0.946359458419552 \tabularnewline
36 & 0.0572917315637741 & 0.114583463127548 & 0.942708268436226 \tabularnewline
37 & 0.0499393474669858 & 0.0998786949339716 & 0.950060652533014 \tabularnewline
38 & 0.0381728618518805 & 0.076345723703761 & 0.961827138148119 \tabularnewline
39 & 0.0313248734809968 & 0.0626497469619935 & 0.968675126519003 \tabularnewline
40 & 0.0266847834745893 & 0.0533695669491786 & 0.973315216525411 \tabularnewline
41 & 0.0235977436248437 & 0.0471954872496874 & 0.976402256375156 \tabularnewline
42 & 0.0197124266940823 & 0.0394248533881646 & 0.980287573305918 \tabularnewline
43 & 0.0183789199807588 & 0.0367578399615176 & 0.981621080019241 \tabularnewline
44 & 0.0169307511678844 & 0.0338615023357688 & 0.983069248832116 \tabularnewline
45 & 0.0145431319198816 & 0.0290862638397632 & 0.985456868080118 \tabularnewline
46 & 0.0110568318510042 & 0.0221136637020084 & 0.988943168148996 \tabularnewline
47 & 0.0105148272902691 & 0.0210296545805383 & 0.989485172709731 \tabularnewline
48 & 0.00834490708145992 & 0.0166898141629198 & 0.99165509291854 \tabularnewline
49 & 0.00596299746703713 & 0.0119259949340743 & 0.994037002532963 \tabularnewline
50 & 0.0127694614894553 & 0.0255389229789105 & 0.987230538510545 \tabularnewline
51 & 0.0316480615341552 & 0.0632961230683105 & 0.968351938465845 \tabularnewline
52 & 0.0250210431657635 & 0.050042086331527 & 0.974978956834237 \tabularnewline
53 & 0.0193166659705923 & 0.0386333319411846 & 0.980683334029408 \tabularnewline
54 & 0.0398725070135614 & 0.0797450140271228 & 0.960127492986439 \tabularnewline
55 & 0.0338769364073894 & 0.0677538728147789 & 0.966123063592611 \tabularnewline
56 & 0.0300029794672054 & 0.0600059589344108 & 0.969997020532795 \tabularnewline
57 & 0.0239122290575443 & 0.0478244581150886 & 0.976087770942456 \tabularnewline
58 & 0.022126964190558 & 0.0442539283811159 & 0.977873035809442 \tabularnewline
59 & 0.0170365790135072 & 0.0340731580270144 & 0.982963420986493 \tabularnewline
60 & 0.0128145828934039 & 0.0256291657868078 & 0.987185417106596 \tabularnewline
61 & 0.00976397305867026 & 0.0195279461173405 & 0.99023602694133 \tabularnewline
62 & 0.0147319936473727 & 0.0294639872947454 & 0.985268006352627 \tabularnewline
63 & 0.0194369159921111 & 0.0388738319842222 & 0.980563084007889 \tabularnewline
64 & 0.015826524305057 & 0.0316530486101139 & 0.984173475694943 \tabularnewline
65 & 0.0131329804651056 & 0.0262659609302113 & 0.986867019534894 \tabularnewline
66 & 0.013508895210882 & 0.0270177904217641 & 0.986491104789118 \tabularnewline
67 & 0.0111705017226321 & 0.0223410034452642 & 0.988829498277368 \tabularnewline
68 & 0.010921610055818 & 0.021843220111636 & 0.989078389944182 \tabularnewline
69 & 0.0113457923246399 & 0.0226915846492799 & 0.98865420767536 \tabularnewline
70 & 0.0109647773329829 & 0.0219295546659659 & 0.989035222667017 \tabularnewline
71 & 0.00840314655635228 & 0.0168062931127046 & 0.991596853443648 \tabularnewline
72 & 0.0064223544005393 & 0.0128447088010786 & 0.993577645599461 \tabularnewline
73 & 0.00766923367751348 & 0.015338467355027 & 0.992330766322487 \tabularnewline
74 & 0.0127841032596642 & 0.0255682065193284 & 0.987215896740336 \tabularnewline
75 & 0.0117766241618724 & 0.0235532483237449 & 0.988223375838128 \tabularnewline
76 & 0.00946494800927076 & 0.0189298960185415 & 0.990535051990729 \tabularnewline
77 & 0.0084821121464339 & 0.0169642242928678 & 0.991517887853566 \tabularnewline
78 & 0.00674790888913776 & 0.0134958177782755 & 0.993252091110862 \tabularnewline
79 & 0.00537641782716478 & 0.0107528356543296 & 0.994623582172835 \tabularnewline
80 & 0.00419305492437433 & 0.00838610984874866 & 0.995806945075626 \tabularnewline
81 & 0.00313813899088785 & 0.0062762779817757 & 0.996861861009112 \tabularnewline
82 & 0.00266523740794116 & 0.00533047481588232 & 0.997334762592059 \tabularnewline
83 & 0.00202604359412445 & 0.00405208718824891 & 0.997973956405875 \tabularnewline
84 & 0.00148056998339148 & 0.00296113996678296 & 0.998519430016608 \tabularnewline
85 & 0.970940951810303 & 0.0581180963793949 & 0.0290590481896975 \tabularnewline
86 & 0.964928818778726 & 0.0701423624425481 & 0.035071181221274 \tabularnewline
87 & 0.957930917782771 & 0.084138164434459 & 0.0420690822172295 \tabularnewline
88 & 0.950987924100625 & 0.0980241517987491 & 0.0490120758993745 \tabularnewline
89 & 0.941299870784136 & 0.117400258431728 & 0.0587001292158641 \tabularnewline
90 & 0.936131275770394 & 0.127737448459213 & 0.0638687242296063 \tabularnewline
91 & 0.924045206456738 & 0.151909587086525 & 0.0759547935432624 \tabularnewline
92 & 0.922478911076048 & 0.155042177847904 & 0.0775210889239518 \tabularnewline
93 & 0.918699133553819 & 0.162601732892362 & 0.0813008664461808 \tabularnewline
94 & 0.911634884115059 & 0.176730231769882 & 0.0883651158849412 \tabularnewline
95 & 0.908118389643309 & 0.183763220713382 & 0.091881610356691 \tabularnewline
96 & 0.897680187438579 & 0.204639625122842 & 0.102319812561421 \tabularnewline
97 & 0.922703743533137 & 0.154592512933726 & 0.0772962564668628 \tabularnewline
98 & 0.932758757000988 & 0.134482485998023 & 0.0672412429990116 \tabularnewline
99 & 0.93953030984986 & 0.12093938030028 & 0.06046969015014 \tabularnewline
100 & 0.930301627653618 & 0.139396744692765 & 0.0696983723463824 \tabularnewline
101 & 0.917842844140082 & 0.164314311719836 & 0.082157155859918 \tabularnewline
102 & 0.912440608986587 & 0.175118782026826 & 0.0875593910134131 \tabularnewline
103 & 0.901037958727323 & 0.197924082545354 & 0.098962041272677 \tabularnewline
104 & 0.925848832564709 & 0.148302334870582 & 0.0741511674352909 \tabularnewline
105 & 0.940600680183173 & 0.118798639633654 & 0.0593993198168269 \tabularnewline
106 & 0.950493888603237 & 0.0990122227935255 & 0.0495061113967628 \tabularnewline
107 & 0.944886335213098 & 0.110227329573804 & 0.0551136647869018 \tabularnewline
108 & 0.938529809279239 & 0.122940381441521 & 0.0614701907207606 \tabularnewline
109 & 0.944210606398878 & 0.111578787202243 & 0.0557893936011217 \tabularnewline
110 & 0.936338597869246 & 0.127322804261508 & 0.0636614021307541 \tabularnewline
111 & 0.929000282565701 & 0.141999434868599 & 0.0709997174342994 \tabularnewline
112 & 0.930632019968163 & 0.138735960063674 & 0.0693679800318372 \tabularnewline
113 & 0.921556948808837 & 0.156886102382325 & 0.0784430511911626 \tabularnewline
114 & 0.919729253414122 & 0.160541493171756 & 0.080270746585878 \tabularnewline
115 & 0.923132884383524 & 0.153734231232952 & 0.0768671156164759 \tabularnewline
116 & 0.916922057203612 & 0.166155885592775 & 0.0830779427963877 \tabularnewline
117 & 0.904745014406084 & 0.190509971187833 & 0.0952549855939164 \tabularnewline
118 & 0.896726773613121 & 0.206546452773757 & 0.103273226386879 \tabularnewline
119 & 0.999344827607212 & 0.00131034478557585 & 0.000655172392787926 \tabularnewline
120 & 0.999156643508941 & 0.00168671298211788 & 0.000843356491058942 \tabularnewline
121 & 0.999078268647131 & 0.00184346270573712 & 0.000921731352868562 \tabularnewline
122 & 0.998840248905705 & 0.00231950218858924 & 0.00115975109429462 \tabularnewline
123 & 0.998581263695477 & 0.00283747260904544 & 0.00141873630452272 \tabularnewline
124 & 0.999991790289831 & 1.6419420338608e-05 & 8.20971016930398e-06 \tabularnewline
125 & 0.999993825336174 & 1.23493276510552e-05 & 6.17466382552759e-06 \tabularnewline
126 & 0.999991081042718 & 1.7837914565066e-05 & 8.91895728253302e-06 \tabularnewline
127 & 0.999989451833087 & 2.10963338262403e-05 & 1.05481669131201e-05 \tabularnewline
128 & 0.9999849024021 & 3.01951957999193e-05 & 1.50975978999596e-05 \tabularnewline
129 & 0.999978670833555 & 4.26583328900125e-05 & 2.13291664450062e-05 \tabularnewline
130 & 0.999969714644614 & 6.05707107711293e-05 & 3.02853553855646e-05 \tabularnewline
131 & 0.999957590531698 & 8.48189366037378e-05 & 4.24094683018689e-05 \tabularnewline
132 & 0.999957238061966 & 8.5523876068829e-05 & 4.27619380344145e-05 \tabularnewline
133 & 0.999941085750272 & 0.000117828499455704 & 5.89142497278518e-05 \tabularnewline
134 & 0.999938175314823 & 0.000123649370354195 & 6.18246851770974e-05 \tabularnewline
135 & 0.999958870627493 & 8.22587450134072e-05 & 4.11293725067036e-05 \tabularnewline
136 & 0.999970538029479 & 5.89239410427466e-05 & 2.94619705213733e-05 \tabularnewline
137 & 0.999958738173761 & 8.25236524781716e-05 & 4.12618262390858e-05 \tabularnewline
138 & 0.99997704090401 & 4.59181919792278e-05 & 2.29590959896139e-05 \tabularnewline
139 & 0.99998218644866 & 3.56271026806244e-05 & 1.78135513403122e-05 \tabularnewline
140 & 0.999974503064411 & 5.09938711779524e-05 & 2.54969355889762e-05 \tabularnewline
141 & 0.99996670693275 & 6.65861345003704e-05 & 3.32930672501852e-05 \tabularnewline
142 & 0.99995591835564 & 8.81632887191573e-05 & 4.40816443595787e-05 \tabularnewline
143 & 0.999939970149177 & 0.000120059701645069 & 6.00298508225346e-05 \tabularnewline
144 & 0.999934025848682 & 0.000131948302635175 & 6.59741513175877e-05 \tabularnewline
145 & 0.999945431923118 & 0.000109136153763325 & 5.45680768816626e-05 \tabularnewline
146 & 0.999923046739035 & 0.000153906521930549 & 7.69532609652746e-05 \tabularnewline
147 & 0.999977943404155 & 4.41131916903329e-05 & 2.20565958451665e-05 \tabularnewline
148 & 0.999991976135522 & 1.60477289558168e-05 & 8.0238644779084e-06 \tabularnewline
149 & 0.999988387707939 & 2.32245841230326e-05 & 1.16122920615163e-05 \tabularnewline
150 & 0.999986088643755 & 2.78227124893723e-05 & 1.39113562446862e-05 \tabularnewline
151 & 0.999987451523887 & 2.50969522257566e-05 & 1.25484761128783e-05 \tabularnewline
152 & 0.99998806418202 & 2.38716359600966e-05 & 1.19358179800483e-05 \tabularnewline
153 & 0.999983032150083 & 3.39356998341329e-05 & 1.69678499170665e-05 \tabularnewline
154 & 0.999987328984483 & 2.53420310348252e-05 & 1.26710155174126e-05 \tabularnewline
155 & 0.999982289264316 & 3.54214713674223e-05 & 1.77107356837111e-05 \tabularnewline
156 & 0.999998739965624 & 2.52006875199438e-06 & 1.26003437599719e-06 \tabularnewline
157 & 0.999998185048025 & 3.62990394996937e-06 & 1.81495197498469e-06 \tabularnewline
158 & 0.999997324498505 & 5.35100298912036e-06 & 2.67550149456018e-06 \tabularnewline
159 & 0.999996215469387 & 7.56906122662588e-06 & 3.78453061331294e-06 \tabularnewline
160 & 0.999995406111746 & 9.18777650704991e-06 & 4.59388825352495e-06 \tabularnewline
161 & 0.999993490829704 & 1.30183405910855e-05 & 6.50917029554275e-06 \tabularnewline
162 & 0.99999999751333 & 4.97333979602829e-09 & 2.48666989801415e-09 \tabularnewline
163 & 0.999999995801527 & 8.39694592611993e-09 & 4.19847296305997e-09 \tabularnewline
164 & 0.9999999962981 & 7.40379968298278e-09 & 3.70189984149139e-09 \tabularnewline
165 & 0.999999994095873 & 1.18082532028574e-08 & 5.90412660142871e-09 \tabularnewline
166 & 0.999999996432132 & 7.13573564127867e-09 & 3.56786782063934e-09 \tabularnewline
167 & 0.999999996876721 & 6.24655864216466e-09 & 3.12327932108233e-09 \tabularnewline
168 & 0.999999997647922 & 4.70415605831604e-09 & 2.35207802915802e-09 \tabularnewline
169 & 0.999999997528836 & 4.94232747380623e-09 & 2.47116373690312e-09 \tabularnewline
170 & 0.999999999314546 & 1.37090775665864e-09 & 6.85453878329318e-10 \tabularnewline
171 & 0.999999999664454 & 6.71092641172545e-10 & 3.35546320586272e-10 \tabularnewline
172 & 0.999999999447779 & 1.10444117416823e-09 & 5.52220587084114e-10 \tabularnewline
173 & 0.999999999253294 & 1.49341270839486e-09 & 7.4670635419743e-10 \tabularnewline
174 & 0.999999998889402 & 2.22119510867508e-09 & 1.11059755433754e-09 \tabularnewline
175 & 0.999999999961452 & 7.70955949953006e-11 & 3.85477974976503e-11 \tabularnewline
176 & 0.999999999949343 & 1.01313487613004e-10 & 5.0656743806502e-11 \tabularnewline
177 & 0.999999999996005 & 7.98996065012396e-12 & 3.99498032506198e-12 \tabularnewline
178 & 0.999999999993018 & 1.39632609184262e-11 & 6.98163045921309e-12 \tabularnewline
179 & 0.999999999998175 & 3.64913084346193e-12 & 1.82456542173097e-12 \tabularnewline
180 & 0.999999999996838 & 6.32464537941888e-12 & 3.16232268970944e-12 \tabularnewline
181 & 0.999999999995882 & 8.23639837502543e-12 & 4.11819918751271e-12 \tabularnewline
182 & 0.999999999998007 & 3.98602425582955e-12 & 1.99301212791477e-12 \tabularnewline
183 & 0.999999999996158 & 7.68344168317863e-12 & 3.84172084158931e-12 \tabularnewline
184 & 0.99999999999315 & 1.3700301910228e-11 & 6.850150955114e-12 \tabularnewline
185 & 0.999999999999305 & 1.38938716754121e-12 & 6.94693583770603e-13 \tabularnewline
186 & 0.999999999998629 & 2.74135814639241e-12 & 1.37067907319621e-12 \tabularnewline
187 & 0.999999999997608 & 4.78316318538417e-12 & 2.39158159269209e-12 \tabularnewline
188 & 0.99999999999537 & 9.25899111593977e-12 & 4.62949555796988e-12 \tabularnewline
189 & 0.999999999993846 & 1.23085076831691e-11 & 6.15425384158456e-12 \tabularnewline
190 & 0.999999999988978 & 2.2044239258345e-11 & 1.10221196291725e-11 \tabularnewline
191 & 0.99999999999596 & 8.07920724850765e-12 & 4.03960362425383e-12 \tabularnewline
192 & 0.999999999992135 & 1.57301659464594e-11 & 7.86508297322968e-12 \tabularnewline
193 & 0.999999999986108 & 2.77839265125826e-11 & 1.38919632562913e-11 \tabularnewline
194 & 0.999999999980141 & 3.9717884789899e-11 & 1.98589423949495e-11 \tabularnewline
195 & 0.999999999962737 & 7.4525102621291e-11 & 3.72625513106455e-11 \tabularnewline
196 & 0.999999999947852 & 1.04295666182109e-10 & 5.21478330910545e-11 \tabularnewline
197 & 0.999999999905768 & 1.88464268024021e-10 & 9.42321340120106e-11 \tabularnewline
198 & 0.999999999991572 & 1.68569616393048e-11 & 8.42848081965241e-12 \tabularnewline
199 & 0.999999999993041 & 1.39185313997419e-11 & 6.95926569987097e-12 \tabularnewline
200 & 0.999999999990408 & 1.91830494544137e-11 & 9.59152472720683e-12 \tabularnewline
201 & 0.999999999982138 & 3.57250620464437e-11 & 1.78625310232218e-11 \tabularnewline
202 & 0.99999999997836 & 4.32809748776928e-11 & 2.16404874388464e-11 \tabularnewline
203 & 0.999999999957708 & 8.4583547997673e-11 & 4.22917739988365e-11 \tabularnewline
204 & 0.999999999933981 & 1.32038304540062e-10 & 6.60191522700309e-11 \tabularnewline
205 & 0.99999999987907 & 2.41859114621197e-10 & 1.20929557310599e-10 \tabularnewline
206 & 0.999999999770064 & 4.5987286394342e-10 & 2.2993643197171e-10 \tabularnewline
207 & 0.9999999995847 & 8.30600893080944e-10 & 4.15300446540472e-10 \tabularnewline
208 & 0.99999999920373 & 1.59254012179602e-09 & 7.96270060898008e-10 \tabularnewline
209 & 0.999999998667038 & 2.66592334684349e-09 & 1.33296167342175e-09 \tabularnewline
210 & 0.999999998934314 & 2.13137178562031e-09 & 1.06568589281015e-09 \tabularnewline
211 & 0.999999998350733 & 3.29853426391307e-09 & 1.64926713195654e-09 \tabularnewline
212 & 0.999999996845613 & 6.30877476314843e-09 & 3.15438738157422e-09 \tabularnewline
213 & 0.999999994071987 & 1.18560250837411e-08 & 5.92801254187057e-09 \tabularnewline
214 & 0.999999989636499 & 2.07270010006251e-08 & 1.03635005003126e-08 \tabularnewline
215 & 0.99999999285115 & 1.42976992224459e-08 & 7.14884961122294e-09 \tabularnewline
216 & 0.999999991391556 & 1.72168880169596e-08 & 8.60844400847981e-09 \tabularnewline
217 & 0.999999984146128 & 3.17077442020754e-08 & 1.58538721010377e-08 \tabularnewline
218 & 0.999999983022235 & 3.3955529617202e-08 & 1.6977764808601e-08 \tabularnewline
219 & 0.999999978089979 & 4.38200428495624e-08 & 2.19100214247812e-08 \tabularnewline
220 & 0.999999965039056 & 6.99218888481956e-08 & 3.49609444240978e-08 \tabularnewline
221 & 0.999999937632707 & 1.24734585599417e-07 & 6.23672927997083e-08 \tabularnewline
222 & 0.999999891344844 & 2.17310311046901e-07 & 1.0865515552345e-07 \tabularnewline
223 & 0.999999866593003 & 2.66813993244949e-07 & 1.33406996622475e-07 \tabularnewline
224 & 0.999999755954809 & 4.88090382204311e-07 & 2.44045191102155e-07 \tabularnewline
225 & 0.999999698083729 & 6.03832542852012e-07 & 3.01916271426006e-07 \tabularnewline
226 & 0.999999748141431 & 5.03717138252011e-07 & 2.51858569126005e-07 \tabularnewline
227 & 0.999999629533267 & 7.40933465878378e-07 & 3.70466732939189e-07 \tabularnewline
228 & 0.999999320192743 & 1.35961451329015e-06 & 6.79807256645073e-07 \tabularnewline
229 & 0.999999015377989 & 1.96924402263123e-06 & 9.84622011315616e-07 \tabularnewline
230 & 0.999999896662013 & 2.06675974289062e-07 & 1.03337987144531e-07 \tabularnewline
231 & 0.999999844249248 & 3.11501503624289e-07 & 1.55750751812144e-07 \tabularnewline
232 & 0.999999706490162 & 5.87019676784411e-07 & 2.93509838392206e-07 \tabularnewline
233 & 0.999999560250748 & 8.79498503658386e-07 & 4.39749251829193e-07 \tabularnewline
234 & 0.999999176055317 & 1.64788936652742e-06 & 8.23944683263712e-07 \tabularnewline
235 & 0.999998598205281 & 2.80358943694572e-06 & 1.40179471847286e-06 \tabularnewline
236 & 0.999997485795251 & 5.02840949859502e-06 & 2.51420474929751e-06 \tabularnewline
237 & 0.999995392041111 & 9.21591777842929e-06 & 4.60795888921464e-06 \tabularnewline
238 & 0.999996298772616 & 7.40245476872632e-06 & 3.70122738436316e-06 \tabularnewline
239 & 0.999994491609147 & 1.10167817065327e-05 & 5.50839085326635e-06 \tabularnewline
240 & 0.999991449581298 & 1.71008374037885e-05 & 8.55041870189423e-06 \tabularnewline
241 & 0.999985321778967 & 2.93564420654714e-05 & 1.46782210327357e-05 \tabularnewline
242 & 0.999974560329881 & 5.08793402380878e-05 & 2.54396701190439e-05 \tabularnewline
243 & 0.9999634439674 & 7.31120651999839e-05 & 3.6556032599992e-05 \tabularnewline
244 & 0.99993927323224 & 0.000121453535519248 & 6.07267677596239e-05 \tabularnewline
245 & 0.999894986535764 & 0.000210026928472864 & 0.000105013464236432 \tabularnewline
246 & 0.999838135640461 & 0.000323728719078621 & 0.000161864359539311 \tabularnewline
247 & 0.999781214992078 & 0.000437570015844092 & 0.000218785007922046 \tabularnewline
248 & 0.999629633207921 & 0.000740733584158419 & 0.00037036679207921 \tabularnewline
249 & 0.999493401932574 & 0.00101319613485118 & 0.000506598067425588 \tabularnewline
250 & 0.99968376620501 & 0.000632467589979363 & 0.000316233794989682 \tabularnewline
251 & 0.999490262026498 & 0.00101947594700321 & 0.000509737973501607 \tabularnewline
252 & 0.999215295920795 & 0.00156940815841083 & 0.000784704079205413 \tabularnewline
253 & 0.998785167186439 & 0.00242966562712216 & 0.00121483281356108 \tabularnewline
254 & 0.99807743178045 & 0.00384513643910088 & 0.00192256821955044 \tabularnewline
255 & 0.99710848705314 & 0.00578302589371926 & 0.00289151294685963 \tabularnewline
256 & 0.995971071369082 & 0.00805785726183618 & 0.00402892863091809 \tabularnewline
257 & 0.994103950479911 & 0.011792099040179 & 0.00589604952008951 \tabularnewline
258 & 0.991864282456867 & 0.0162714350862661 & 0.00813571754313305 \tabularnewline
259 & 0.987623975543791 & 0.024752048912419 & 0.0123760244562095 \tabularnewline
260 & 0.981625098206468 & 0.0367498035870642 & 0.0183749017935321 \tabularnewline
261 & 0.980177870749475 & 0.0396442585010502 & 0.0198221292505251 \tabularnewline
262 & 0.970656258094614 & 0.0586874838107724 & 0.0293437419053862 \tabularnewline
263 & 0.961361882370391 & 0.0772762352592183 & 0.0386381176296091 \tabularnewline
264 & 0.944769373569724 & 0.110461252860552 & 0.055230626430276 \tabularnewline
265 & 0.932274104540666 & 0.135451790918668 & 0.0677258954593341 \tabularnewline
266 & 0.909594077369243 & 0.180811845261515 & 0.0904059226307573 \tabularnewline
267 & 0.880846047985915 & 0.23830790402817 & 0.119153952014085 \tabularnewline
268 & 0.84701011725468 & 0.305979765490641 & 0.15298988274532 \tabularnewline
269 & 0.799545088133514 & 0.400909823732972 & 0.200454911866486 \tabularnewline
270 & 0.805667140917107 & 0.388665718165786 & 0.194332859082893 \tabularnewline
271 & 0.754205609090781 & 0.491588781818438 & 0.245794390909219 \tabularnewline
272 & 0.688255057221105 & 0.62348988555779 & 0.311744942778895 \tabularnewline
273 & 0.622681072770833 & 0.754637854458333 & 0.377318927229167 \tabularnewline
274 & 0.545204538435355 & 0.90959092312929 & 0.454795461564645 \tabularnewline
275 & 0.463526910876133 & 0.927053821752266 & 0.536473089123867 \tabularnewline
276 & 0.449277471860259 & 0.898554943720518 & 0.550722528139741 \tabularnewline
277 & 0.355899602385213 & 0.711799204770426 & 0.644100397614787 \tabularnewline
278 & 0.261154215914433 & 0.522308431828867 & 0.738845784085567 \tabularnewline
279 & 0.199428179867399 & 0.398856359734799 & 0.800571820132601 \tabularnewline
280 & 0.140005506674929 & 0.280011013349858 & 0.859994493325071 \tabularnewline
281 & 0.0762791127005028 & 0.152558225401006 & 0.923720887299497 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156627&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]8[/C][C]0.156210057386497[/C][C]0.312420114772994[/C][C]0.843789942613503[/C][/ROW]
[ROW][C]9[/C][C]0.064625559962312[/C][C]0.129251119924624[/C][C]0.935374440037688[/C][/ROW]
[ROW][C]10[/C][C]0.0445519965647429[/C][C]0.0891039931294859[/C][C]0.955448003435257[/C][/ROW]
[ROW][C]11[/C][C]0.0474687805692108[/C][C]0.0949375611384217[/C][C]0.952531219430789[/C][/ROW]
[ROW][C]12[/C][C]0.196847591609754[/C][C]0.393695183219508[/C][C]0.803152408390246[/C][/ROW]
[ROW][C]13[/C][C]0.225485119925492[/C][C]0.450970239850984[/C][C]0.774514880074508[/C][/ROW]
[ROW][C]14[/C][C]0.167085152841237[/C][C]0.334170305682473[/C][C]0.832914847158763[/C][/ROW]
[ROW][C]15[/C][C]0.111742278830874[/C][C]0.223484557661749[/C][C]0.888257721169126[/C][/ROW]
[ROW][C]16[/C][C]0.0715184010011436[/C][C]0.143036802002287[/C][C]0.928481598998856[/C][/ROW]
[ROW][C]17[/C][C]0.0831810896156251[/C][C]0.16636217923125[/C][C]0.916818910384375[/C][/ROW]
[ROW][C]18[/C][C]0.147674424416002[/C][C]0.295348848832004[/C][C]0.852325575583998[/C][/ROW]
[ROW][C]19[/C][C]0.172194583905924[/C][C]0.344389167811849[/C][C]0.827805416094076[/C][/ROW]
[ROW][C]20[/C][C]0.130481588301121[/C][C]0.260963176602242[/C][C]0.869518411698879[/C][/ROW]
[ROW][C]21[/C][C]0.182456290410299[/C][C]0.364912580820597[/C][C]0.817543709589701[/C][/ROW]
[ROW][C]22[/C][C]0.178545034090055[/C][C]0.35709006818011[/C][C]0.821454965909945[/C][/ROW]
[ROW][C]23[/C][C]0.159270018310954[/C][C]0.318540036621909[/C][C]0.840729981689046[/C][/ROW]
[ROW][C]24[/C][C]0.118892675971918[/C][C]0.237785351943835[/C][C]0.881107324028082[/C][/ROW]
[ROW][C]25[/C][C]0.104017059929047[/C][C]0.208034119858095[/C][C]0.895982940070953[/C][/ROW]
[ROW][C]26[/C][C]0.173528765476255[/C][C]0.34705753095251[/C][C]0.826471234523745[/C][/ROW]
[ROW][C]27[/C][C]0.134191699757072[/C][C]0.268383399514144[/C][C]0.865808300242928[/C][/ROW]
[ROW][C]28[/C][C]0.101646161563124[/C][C]0.203292323126248[/C][C]0.898353838436876[/C][/ROW]
[ROW][C]29[/C][C]0.101698959397849[/C][C]0.203397918795697[/C][C]0.898301040602151[/C][/ROW]
[ROW][C]30[/C][C]0.0997065084376666[/C][C]0.199413016875333[/C][C]0.900293491562333[/C][/ROW]
[ROW][C]31[/C][C]0.0779517158277672[/C][C]0.155903431655534[/C][C]0.922048284172233[/C][/ROW]
[ROW][C]32[/C][C]0.0590041044700444[/C][C]0.118008208940089[/C][C]0.940995895529956[/C][/ROW]
[ROW][C]33[/C][C]0.0434932160538365[/C][C]0.086986432107673[/C][C]0.956506783946164[/C][/ROW]
[ROW][C]34[/C][C]0.0372444333591346[/C][C]0.0744888667182693[/C][C]0.962755566640865[/C][/ROW]
[ROW][C]35[/C][C]0.0536405415804479[/C][C]0.107281083160896[/C][C]0.946359458419552[/C][/ROW]
[ROW][C]36[/C][C]0.0572917315637741[/C][C]0.114583463127548[/C][C]0.942708268436226[/C][/ROW]
[ROW][C]37[/C][C]0.0499393474669858[/C][C]0.0998786949339716[/C][C]0.950060652533014[/C][/ROW]
[ROW][C]38[/C][C]0.0381728618518805[/C][C]0.076345723703761[/C][C]0.961827138148119[/C][/ROW]
[ROW][C]39[/C][C]0.0313248734809968[/C][C]0.0626497469619935[/C][C]0.968675126519003[/C][/ROW]
[ROW][C]40[/C][C]0.0266847834745893[/C][C]0.0533695669491786[/C][C]0.973315216525411[/C][/ROW]
[ROW][C]41[/C][C]0.0235977436248437[/C][C]0.0471954872496874[/C][C]0.976402256375156[/C][/ROW]
[ROW][C]42[/C][C]0.0197124266940823[/C][C]0.0394248533881646[/C][C]0.980287573305918[/C][/ROW]
[ROW][C]43[/C][C]0.0183789199807588[/C][C]0.0367578399615176[/C][C]0.981621080019241[/C][/ROW]
[ROW][C]44[/C][C]0.0169307511678844[/C][C]0.0338615023357688[/C][C]0.983069248832116[/C][/ROW]
[ROW][C]45[/C][C]0.0145431319198816[/C][C]0.0290862638397632[/C][C]0.985456868080118[/C][/ROW]
[ROW][C]46[/C][C]0.0110568318510042[/C][C]0.0221136637020084[/C][C]0.988943168148996[/C][/ROW]
[ROW][C]47[/C][C]0.0105148272902691[/C][C]0.0210296545805383[/C][C]0.989485172709731[/C][/ROW]
[ROW][C]48[/C][C]0.00834490708145992[/C][C]0.0166898141629198[/C][C]0.99165509291854[/C][/ROW]
[ROW][C]49[/C][C]0.00596299746703713[/C][C]0.0119259949340743[/C][C]0.994037002532963[/C][/ROW]
[ROW][C]50[/C][C]0.0127694614894553[/C][C]0.0255389229789105[/C][C]0.987230538510545[/C][/ROW]
[ROW][C]51[/C][C]0.0316480615341552[/C][C]0.0632961230683105[/C][C]0.968351938465845[/C][/ROW]
[ROW][C]52[/C][C]0.0250210431657635[/C][C]0.050042086331527[/C][C]0.974978956834237[/C][/ROW]
[ROW][C]53[/C][C]0.0193166659705923[/C][C]0.0386333319411846[/C][C]0.980683334029408[/C][/ROW]
[ROW][C]54[/C][C]0.0398725070135614[/C][C]0.0797450140271228[/C][C]0.960127492986439[/C][/ROW]
[ROW][C]55[/C][C]0.0338769364073894[/C][C]0.0677538728147789[/C][C]0.966123063592611[/C][/ROW]
[ROW][C]56[/C][C]0.0300029794672054[/C][C]0.0600059589344108[/C][C]0.969997020532795[/C][/ROW]
[ROW][C]57[/C][C]0.0239122290575443[/C][C]0.0478244581150886[/C][C]0.976087770942456[/C][/ROW]
[ROW][C]58[/C][C]0.022126964190558[/C][C]0.0442539283811159[/C][C]0.977873035809442[/C][/ROW]
[ROW][C]59[/C][C]0.0170365790135072[/C][C]0.0340731580270144[/C][C]0.982963420986493[/C][/ROW]
[ROW][C]60[/C][C]0.0128145828934039[/C][C]0.0256291657868078[/C][C]0.987185417106596[/C][/ROW]
[ROW][C]61[/C][C]0.00976397305867026[/C][C]0.0195279461173405[/C][C]0.99023602694133[/C][/ROW]
[ROW][C]62[/C][C]0.0147319936473727[/C][C]0.0294639872947454[/C][C]0.985268006352627[/C][/ROW]
[ROW][C]63[/C][C]0.0194369159921111[/C][C]0.0388738319842222[/C][C]0.980563084007889[/C][/ROW]
[ROW][C]64[/C][C]0.015826524305057[/C][C]0.0316530486101139[/C][C]0.984173475694943[/C][/ROW]
[ROW][C]65[/C][C]0.0131329804651056[/C][C]0.0262659609302113[/C][C]0.986867019534894[/C][/ROW]
[ROW][C]66[/C][C]0.013508895210882[/C][C]0.0270177904217641[/C][C]0.986491104789118[/C][/ROW]
[ROW][C]67[/C][C]0.0111705017226321[/C][C]0.0223410034452642[/C][C]0.988829498277368[/C][/ROW]
[ROW][C]68[/C][C]0.010921610055818[/C][C]0.021843220111636[/C][C]0.989078389944182[/C][/ROW]
[ROW][C]69[/C][C]0.0113457923246399[/C][C]0.0226915846492799[/C][C]0.98865420767536[/C][/ROW]
[ROW][C]70[/C][C]0.0109647773329829[/C][C]0.0219295546659659[/C][C]0.989035222667017[/C][/ROW]
[ROW][C]71[/C][C]0.00840314655635228[/C][C]0.0168062931127046[/C][C]0.991596853443648[/C][/ROW]
[ROW][C]72[/C][C]0.0064223544005393[/C][C]0.0128447088010786[/C][C]0.993577645599461[/C][/ROW]
[ROW][C]73[/C][C]0.00766923367751348[/C][C]0.015338467355027[/C][C]0.992330766322487[/C][/ROW]
[ROW][C]74[/C][C]0.0127841032596642[/C][C]0.0255682065193284[/C][C]0.987215896740336[/C][/ROW]
[ROW][C]75[/C][C]0.0117766241618724[/C][C]0.0235532483237449[/C][C]0.988223375838128[/C][/ROW]
[ROW][C]76[/C][C]0.00946494800927076[/C][C]0.0189298960185415[/C][C]0.990535051990729[/C][/ROW]
[ROW][C]77[/C][C]0.0084821121464339[/C][C]0.0169642242928678[/C][C]0.991517887853566[/C][/ROW]
[ROW][C]78[/C][C]0.00674790888913776[/C][C]0.0134958177782755[/C][C]0.993252091110862[/C][/ROW]
[ROW][C]79[/C][C]0.00537641782716478[/C][C]0.0107528356543296[/C][C]0.994623582172835[/C][/ROW]
[ROW][C]80[/C][C]0.00419305492437433[/C][C]0.00838610984874866[/C][C]0.995806945075626[/C][/ROW]
[ROW][C]81[/C][C]0.00313813899088785[/C][C]0.0062762779817757[/C][C]0.996861861009112[/C][/ROW]
[ROW][C]82[/C][C]0.00266523740794116[/C][C]0.00533047481588232[/C][C]0.997334762592059[/C][/ROW]
[ROW][C]83[/C][C]0.00202604359412445[/C][C]0.00405208718824891[/C][C]0.997973956405875[/C][/ROW]
[ROW][C]84[/C][C]0.00148056998339148[/C][C]0.00296113996678296[/C][C]0.998519430016608[/C][/ROW]
[ROW][C]85[/C][C]0.970940951810303[/C][C]0.0581180963793949[/C][C]0.0290590481896975[/C][/ROW]
[ROW][C]86[/C][C]0.964928818778726[/C][C]0.0701423624425481[/C][C]0.035071181221274[/C][/ROW]
[ROW][C]87[/C][C]0.957930917782771[/C][C]0.084138164434459[/C][C]0.0420690822172295[/C][/ROW]
[ROW][C]88[/C][C]0.950987924100625[/C][C]0.0980241517987491[/C][C]0.0490120758993745[/C][/ROW]
[ROW][C]89[/C][C]0.941299870784136[/C][C]0.117400258431728[/C][C]0.0587001292158641[/C][/ROW]
[ROW][C]90[/C][C]0.936131275770394[/C][C]0.127737448459213[/C][C]0.0638687242296063[/C][/ROW]
[ROW][C]91[/C][C]0.924045206456738[/C][C]0.151909587086525[/C][C]0.0759547935432624[/C][/ROW]
[ROW][C]92[/C][C]0.922478911076048[/C][C]0.155042177847904[/C][C]0.0775210889239518[/C][/ROW]
[ROW][C]93[/C][C]0.918699133553819[/C][C]0.162601732892362[/C][C]0.0813008664461808[/C][/ROW]
[ROW][C]94[/C][C]0.911634884115059[/C][C]0.176730231769882[/C][C]0.0883651158849412[/C][/ROW]
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[ROW][C]97[/C][C]0.922703743533137[/C][C]0.154592512933726[/C][C]0.0772962564668628[/C][/ROW]
[ROW][C]98[/C][C]0.932758757000988[/C][C]0.134482485998023[/C][C]0.0672412429990116[/C][/ROW]
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[ROW][C]108[/C][C]0.938529809279239[/C][C]0.122940381441521[/C][C]0.0614701907207606[/C][/ROW]
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[ROW][C]110[/C][C]0.936338597869246[/C][C]0.127322804261508[/C][C]0.0636614021307541[/C][/ROW]
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[ROW][C]114[/C][C]0.919729253414122[/C][C]0.160541493171756[/C][C]0.080270746585878[/C][/ROW]
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[ROW][C]116[/C][C]0.916922057203612[/C][C]0.166155885592775[/C][C]0.0830779427963877[/C][/ROW]
[ROW][C]117[/C][C]0.904745014406084[/C][C]0.190509971187833[/C][C]0.0952549855939164[/C][/ROW]
[ROW][C]118[/C][C]0.896726773613121[/C][C]0.206546452773757[/C][C]0.103273226386879[/C][/ROW]
[ROW][C]119[/C][C]0.999344827607212[/C][C]0.00131034478557585[/C][C]0.000655172392787926[/C][/ROW]
[ROW][C]120[/C][C]0.999156643508941[/C][C]0.00168671298211788[/C][C]0.000843356491058942[/C][/ROW]
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[ROW][C]125[/C][C]0.999993825336174[/C][C]1.23493276510552e-05[/C][C]6.17466382552759e-06[/C][/ROW]
[ROW][C]126[/C][C]0.999991081042718[/C][C]1.7837914565066e-05[/C][C]8.91895728253302e-06[/C][/ROW]
[ROW][C]127[/C][C]0.999989451833087[/C][C]2.10963338262403e-05[/C][C]1.05481669131201e-05[/C][/ROW]
[ROW][C]128[/C][C]0.9999849024021[/C][C]3.01951957999193e-05[/C][C]1.50975978999596e-05[/C][/ROW]
[ROW][C]129[/C][C]0.999978670833555[/C][C]4.26583328900125e-05[/C][C]2.13291664450062e-05[/C][/ROW]
[ROW][C]130[/C][C]0.999969714644614[/C][C]6.05707107711293e-05[/C][C]3.02853553855646e-05[/C][/ROW]
[ROW][C]131[/C][C]0.999957590531698[/C][C]8.48189366037378e-05[/C][C]4.24094683018689e-05[/C][/ROW]
[ROW][C]132[/C][C]0.999957238061966[/C][C]8.5523876068829e-05[/C][C]4.27619380344145e-05[/C][/ROW]
[ROW][C]133[/C][C]0.999941085750272[/C][C]0.000117828499455704[/C][C]5.89142497278518e-05[/C][/ROW]
[ROW][C]134[/C][C]0.999938175314823[/C][C]0.000123649370354195[/C][C]6.18246851770974e-05[/C][/ROW]
[ROW][C]135[/C][C]0.999958870627493[/C][C]8.22587450134072e-05[/C][C]4.11293725067036e-05[/C][/ROW]
[ROW][C]136[/C][C]0.999970538029479[/C][C]5.89239410427466e-05[/C][C]2.94619705213733e-05[/C][/ROW]
[ROW][C]137[/C][C]0.999958738173761[/C][C]8.25236524781716e-05[/C][C]4.12618262390858e-05[/C][/ROW]
[ROW][C]138[/C][C]0.99997704090401[/C][C]4.59181919792278e-05[/C][C]2.29590959896139e-05[/C][/ROW]
[ROW][C]139[/C][C]0.99998218644866[/C][C]3.56271026806244e-05[/C][C]1.78135513403122e-05[/C][/ROW]
[ROW][C]140[/C][C]0.999974503064411[/C][C]5.09938711779524e-05[/C][C]2.54969355889762e-05[/C][/ROW]
[ROW][C]141[/C][C]0.99996670693275[/C][C]6.65861345003704e-05[/C][C]3.32930672501852e-05[/C][/ROW]
[ROW][C]142[/C][C]0.99995591835564[/C][C]8.81632887191573e-05[/C][C]4.40816443595787e-05[/C][/ROW]
[ROW][C]143[/C][C]0.999939970149177[/C][C]0.000120059701645069[/C][C]6.00298508225346e-05[/C][/ROW]
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[ROW][C]145[/C][C]0.999945431923118[/C][C]0.000109136153763325[/C][C]5.45680768816626e-05[/C][/ROW]
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[ROW][C]149[/C][C]0.999988387707939[/C][C]2.32245841230326e-05[/C][C]1.16122920615163e-05[/C][/ROW]
[ROW][C]150[/C][C]0.999986088643755[/C][C]2.78227124893723e-05[/C][C]1.39113562446862e-05[/C][/ROW]
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[ROW][C]154[/C][C]0.999987328984483[/C][C]2.53420310348252e-05[/C][C]1.26710155174126e-05[/C][/ROW]
[ROW][C]155[/C][C]0.999982289264316[/C][C]3.54214713674223e-05[/C][C]1.77107356837111e-05[/C][/ROW]
[ROW][C]156[/C][C]0.999998739965624[/C][C]2.52006875199438e-06[/C][C]1.26003437599719e-06[/C][/ROW]
[ROW][C]157[/C][C]0.999998185048025[/C][C]3.62990394996937e-06[/C][C]1.81495197498469e-06[/C][/ROW]
[ROW][C]158[/C][C]0.999997324498505[/C][C]5.35100298912036e-06[/C][C]2.67550149456018e-06[/C][/ROW]
[ROW][C]159[/C][C]0.999996215469387[/C][C]7.56906122662588e-06[/C][C]3.78453061331294e-06[/C][/ROW]
[ROW][C]160[/C][C]0.999995406111746[/C][C]9.18777650704991e-06[/C][C]4.59388825352495e-06[/C][/ROW]
[ROW][C]161[/C][C]0.999993490829704[/C][C]1.30183405910855e-05[/C][C]6.50917029554275e-06[/C][/ROW]
[ROW][C]162[/C][C]0.99999999751333[/C][C]4.97333979602829e-09[/C][C]2.48666989801415e-09[/C][/ROW]
[ROW][C]163[/C][C]0.999999995801527[/C][C]8.39694592611993e-09[/C][C]4.19847296305997e-09[/C][/ROW]
[ROW][C]164[/C][C]0.9999999962981[/C][C]7.40379968298278e-09[/C][C]3.70189984149139e-09[/C][/ROW]
[ROW][C]165[/C][C]0.999999994095873[/C][C]1.18082532028574e-08[/C][C]5.90412660142871e-09[/C][/ROW]
[ROW][C]166[/C][C]0.999999996432132[/C][C]7.13573564127867e-09[/C][C]3.56786782063934e-09[/C][/ROW]
[ROW][C]167[/C][C]0.999999996876721[/C][C]6.24655864216466e-09[/C][C]3.12327932108233e-09[/C][/ROW]
[ROW][C]168[/C][C]0.999999997647922[/C][C]4.70415605831604e-09[/C][C]2.35207802915802e-09[/C][/ROW]
[ROW][C]169[/C][C]0.999999997528836[/C][C]4.94232747380623e-09[/C][C]2.47116373690312e-09[/C][/ROW]
[ROW][C]170[/C][C]0.999999999314546[/C][C]1.37090775665864e-09[/C][C]6.85453878329318e-10[/C][/ROW]
[ROW][C]171[/C][C]0.999999999664454[/C][C]6.71092641172545e-10[/C][C]3.35546320586272e-10[/C][/ROW]
[ROW][C]172[/C][C]0.999999999447779[/C][C]1.10444117416823e-09[/C][C]5.52220587084114e-10[/C][/ROW]
[ROW][C]173[/C][C]0.999999999253294[/C][C]1.49341270839486e-09[/C][C]7.4670635419743e-10[/C][/ROW]
[ROW][C]174[/C][C]0.999999998889402[/C][C]2.22119510867508e-09[/C][C]1.11059755433754e-09[/C][/ROW]
[ROW][C]175[/C][C]0.999999999961452[/C][C]7.70955949953006e-11[/C][C]3.85477974976503e-11[/C][/ROW]
[ROW][C]176[/C][C]0.999999999949343[/C][C]1.01313487613004e-10[/C][C]5.0656743806502e-11[/C][/ROW]
[ROW][C]177[/C][C]0.999999999996005[/C][C]7.98996065012396e-12[/C][C]3.99498032506198e-12[/C][/ROW]
[ROW][C]178[/C][C]0.999999999993018[/C][C]1.39632609184262e-11[/C][C]6.98163045921309e-12[/C][/ROW]
[ROW][C]179[/C][C]0.999999999998175[/C][C]3.64913084346193e-12[/C][C]1.82456542173097e-12[/C][/ROW]
[ROW][C]180[/C][C]0.999999999996838[/C][C]6.32464537941888e-12[/C][C]3.16232268970944e-12[/C][/ROW]
[ROW][C]181[/C][C]0.999999999995882[/C][C]8.23639837502543e-12[/C][C]4.11819918751271e-12[/C][/ROW]
[ROW][C]182[/C][C]0.999999999998007[/C][C]3.98602425582955e-12[/C][C]1.99301212791477e-12[/C][/ROW]
[ROW][C]183[/C][C]0.999999999996158[/C][C]7.68344168317863e-12[/C][C]3.84172084158931e-12[/C][/ROW]
[ROW][C]184[/C][C]0.99999999999315[/C][C]1.3700301910228e-11[/C][C]6.850150955114e-12[/C][/ROW]
[ROW][C]185[/C][C]0.999999999999305[/C][C]1.38938716754121e-12[/C][C]6.94693583770603e-13[/C][/ROW]
[ROW][C]186[/C][C]0.999999999998629[/C][C]2.74135814639241e-12[/C][C]1.37067907319621e-12[/C][/ROW]
[ROW][C]187[/C][C]0.999999999997608[/C][C]4.78316318538417e-12[/C][C]2.39158159269209e-12[/C][/ROW]
[ROW][C]188[/C][C]0.99999999999537[/C][C]9.25899111593977e-12[/C][C]4.62949555796988e-12[/C][/ROW]
[ROW][C]189[/C][C]0.999999999993846[/C][C]1.23085076831691e-11[/C][C]6.15425384158456e-12[/C][/ROW]
[ROW][C]190[/C][C]0.999999999988978[/C][C]2.2044239258345e-11[/C][C]1.10221196291725e-11[/C][/ROW]
[ROW][C]191[/C][C]0.99999999999596[/C][C]8.07920724850765e-12[/C][C]4.03960362425383e-12[/C][/ROW]
[ROW][C]192[/C][C]0.999999999992135[/C][C]1.57301659464594e-11[/C][C]7.86508297322968e-12[/C][/ROW]
[ROW][C]193[/C][C]0.999999999986108[/C][C]2.77839265125826e-11[/C][C]1.38919632562913e-11[/C][/ROW]
[ROW][C]194[/C][C]0.999999999980141[/C][C]3.9717884789899e-11[/C][C]1.98589423949495e-11[/C][/ROW]
[ROW][C]195[/C][C]0.999999999962737[/C][C]7.4525102621291e-11[/C][C]3.72625513106455e-11[/C][/ROW]
[ROW][C]196[/C][C]0.999999999947852[/C][C]1.04295666182109e-10[/C][C]5.21478330910545e-11[/C][/ROW]
[ROW][C]197[/C][C]0.999999999905768[/C][C]1.88464268024021e-10[/C][C]9.42321340120106e-11[/C][/ROW]
[ROW][C]198[/C][C]0.999999999991572[/C][C]1.68569616393048e-11[/C][C]8.42848081965241e-12[/C][/ROW]
[ROW][C]199[/C][C]0.999999999993041[/C][C]1.39185313997419e-11[/C][C]6.95926569987097e-12[/C][/ROW]
[ROW][C]200[/C][C]0.999999999990408[/C][C]1.91830494544137e-11[/C][C]9.59152472720683e-12[/C][/ROW]
[ROW][C]201[/C][C]0.999999999982138[/C][C]3.57250620464437e-11[/C][C]1.78625310232218e-11[/C][/ROW]
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[ROW][C]203[/C][C]0.999999999957708[/C][C]8.4583547997673e-11[/C][C]4.22917739988365e-11[/C][/ROW]
[ROW][C]204[/C][C]0.999999999933981[/C][C]1.32038304540062e-10[/C][C]6.60191522700309e-11[/C][/ROW]
[ROW][C]205[/C][C]0.99999999987907[/C][C]2.41859114621197e-10[/C][C]1.20929557310599e-10[/C][/ROW]
[ROW][C]206[/C][C]0.999999999770064[/C][C]4.5987286394342e-10[/C][C]2.2993643197171e-10[/C][/ROW]
[ROW][C]207[/C][C]0.9999999995847[/C][C]8.30600893080944e-10[/C][C]4.15300446540472e-10[/C][/ROW]
[ROW][C]208[/C][C]0.99999999920373[/C][C]1.59254012179602e-09[/C][C]7.96270060898008e-10[/C][/ROW]
[ROW][C]209[/C][C]0.999999998667038[/C][C]2.66592334684349e-09[/C][C]1.33296167342175e-09[/C][/ROW]
[ROW][C]210[/C][C]0.999999998934314[/C][C]2.13137178562031e-09[/C][C]1.06568589281015e-09[/C][/ROW]
[ROW][C]211[/C][C]0.999999998350733[/C][C]3.29853426391307e-09[/C][C]1.64926713195654e-09[/C][/ROW]
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[ROW][C]213[/C][C]0.999999994071987[/C][C]1.18560250837411e-08[/C][C]5.92801254187057e-09[/C][/ROW]
[ROW][C]214[/C][C]0.999999989636499[/C][C]2.07270010006251e-08[/C][C]1.03635005003126e-08[/C][/ROW]
[ROW][C]215[/C][C]0.99999999285115[/C][C]1.42976992224459e-08[/C][C]7.14884961122294e-09[/C][/ROW]
[ROW][C]216[/C][C]0.999999991391556[/C][C]1.72168880169596e-08[/C][C]8.60844400847981e-09[/C][/ROW]
[ROW][C]217[/C][C]0.999999984146128[/C][C]3.17077442020754e-08[/C][C]1.58538721010377e-08[/C][/ROW]
[ROW][C]218[/C][C]0.999999983022235[/C][C]3.3955529617202e-08[/C][C]1.6977764808601e-08[/C][/ROW]
[ROW][C]219[/C][C]0.999999978089979[/C][C]4.38200428495624e-08[/C][C]2.19100214247812e-08[/C][/ROW]
[ROW][C]220[/C][C]0.999999965039056[/C][C]6.99218888481956e-08[/C][C]3.49609444240978e-08[/C][/ROW]
[ROW][C]221[/C][C]0.999999937632707[/C][C]1.24734585599417e-07[/C][C]6.23672927997083e-08[/C][/ROW]
[ROW][C]222[/C][C]0.999999891344844[/C][C]2.17310311046901e-07[/C][C]1.0865515552345e-07[/C][/ROW]
[ROW][C]223[/C][C]0.999999866593003[/C][C]2.66813993244949e-07[/C][C]1.33406996622475e-07[/C][/ROW]
[ROW][C]224[/C][C]0.999999755954809[/C][C]4.88090382204311e-07[/C][C]2.44045191102155e-07[/C][/ROW]
[ROW][C]225[/C][C]0.999999698083729[/C][C]6.03832542852012e-07[/C][C]3.01916271426006e-07[/C][/ROW]
[ROW][C]226[/C][C]0.999999748141431[/C][C]5.03717138252011e-07[/C][C]2.51858569126005e-07[/C][/ROW]
[ROW][C]227[/C][C]0.999999629533267[/C][C]7.40933465878378e-07[/C][C]3.70466732939189e-07[/C][/ROW]
[ROW][C]228[/C][C]0.999999320192743[/C][C]1.35961451329015e-06[/C][C]6.79807256645073e-07[/C][/ROW]
[ROW][C]229[/C][C]0.999999015377989[/C][C]1.96924402263123e-06[/C][C]9.84622011315616e-07[/C][/ROW]
[ROW][C]230[/C][C]0.999999896662013[/C][C]2.06675974289062e-07[/C][C]1.03337987144531e-07[/C][/ROW]
[ROW][C]231[/C][C]0.999999844249248[/C][C]3.11501503624289e-07[/C][C]1.55750751812144e-07[/C][/ROW]
[ROW][C]232[/C][C]0.999999706490162[/C][C]5.87019676784411e-07[/C][C]2.93509838392206e-07[/C][/ROW]
[ROW][C]233[/C][C]0.999999560250748[/C][C]8.79498503658386e-07[/C][C]4.39749251829193e-07[/C][/ROW]
[ROW][C]234[/C][C]0.999999176055317[/C][C]1.64788936652742e-06[/C][C]8.23944683263712e-07[/C][/ROW]
[ROW][C]235[/C][C]0.999998598205281[/C][C]2.80358943694572e-06[/C][C]1.40179471847286e-06[/C][/ROW]
[ROW][C]236[/C][C]0.999997485795251[/C][C]5.02840949859502e-06[/C][C]2.51420474929751e-06[/C][/ROW]
[ROW][C]237[/C][C]0.999995392041111[/C][C]9.21591777842929e-06[/C][C]4.60795888921464e-06[/C][/ROW]
[ROW][C]238[/C][C]0.999996298772616[/C][C]7.40245476872632e-06[/C][C]3.70122738436316e-06[/C][/ROW]
[ROW][C]239[/C][C]0.999994491609147[/C][C]1.10167817065327e-05[/C][C]5.50839085326635e-06[/C][/ROW]
[ROW][C]240[/C][C]0.999991449581298[/C][C]1.71008374037885e-05[/C][C]8.55041870189423e-06[/C][/ROW]
[ROW][C]241[/C][C]0.999985321778967[/C][C]2.93564420654714e-05[/C][C]1.46782210327357e-05[/C][/ROW]
[ROW][C]242[/C][C]0.999974560329881[/C][C]5.08793402380878e-05[/C][C]2.54396701190439e-05[/C][/ROW]
[ROW][C]243[/C][C]0.9999634439674[/C][C]7.31120651999839e-05[/C][C]3.6556032599992e-05[/C][/ROW]
[ROW][C]244[/C][C]0.99993927323224[/C][C]0.000121453535519248[/C][C]6.07267677596239e-05[/C][/ROW]
[ROW][C]245[/C][C]0.999894986535764[/C][C]0.000210026928472864[/C][C]0.000105013464236432[/C][/ROW]
[ROW][C]246[/C][C]0.999838135640461[/C][C]0.000323728719078621[/C][C]0.000161864359539311[/C][/ROW]
[ROW][C]247[/C][C]0.999781214992078[/C][C]0.000437570015844092[/C][C]0.000218785007922046[/C][/ROW]
[ROW][C]248[/C][C]0.999629633207921[/C][C]0.000740733584158419[/C][C]0.00037036679207921[/C][/ROW]
[ROW][C]249[/C][C]0.999493401932574[/C][C]0.00101319613485118[/C][C]0.000506598067425588[/C][/ROW]
[ROW][C]250[/C][C]0.99968376620501[/C][C]0.000632467589979363[/C][C]0.000316233794989682[/C][/ROW]
[ROW][C]251[/C][C]0.999490262026498[/C][C]0.00101947594700321[/C][C]0.000509737973501607[/C][/ROW]
[ROW][C]252[/C][C]0.999215295920795[/C][C]0.00156940815841083[/C][C]0.000784704079205413[/C][/ROW]
[ROW][C]253[/C][C]0.998785167186439[/C][C]0.00242966562712216[/C][C]0.00121483281356108[/C][/ROW]
[ROW][C]254[/C][C]0.99807743178045[/C][C]0.00384513643910088[/C][C]0.00192256821955044[/C][/ROW]
[ROW][C]255[/C][C]0.99710848705314[/C][C]0.00578302589371926[/C][C]0.00289151294685963[/C][/ROW]
[ROW][C]256[/C][C]0.995971071369082[/C][C]0.00805785726183618[/C][C]0.00402892863091809[/C][/ROW]
[ROW][C]257[/C][C]0.994103950479911[/C][C]0.011792099040179[/C][C]0.00589604952008951[/C][/ROW]
[ROW][C]258[/C][C]0.991864282456867[/C][C]0.0162714350862661[/C][C]0.00813571754313305[/C][/ROW]
[ROW][C]259[/C][C]0.987623975543791[/C][C]0.024752048912419[/C][C]0.0123760244562095[/C][/ROW]
[ROW][C]260[/C][C]0.981625098206468[/C][C]0.0367498035870642[/C][C]0.0183749017935321[/C][/ROW]
[ROW][C]261[/C][C]0.980177870749475[/C][C]0.0396442585010502[/C][C]0.0198221292505251[/C][/ROW]
[ROW][C]262[/C][C]0.970656258094614[/C][C]0.0586874838107724[/C][C]0.0293437419053862[/C][/ROW]
[ROW][C]263[/C][C]0.961361882370391[/C][C]0.0772762352592183[/C][C]0.0386381176296091[/C][/ROW]
[ROW][C]264[/C][C]0.944769373569724[/C][C]0.110461252860552[/C][C]0.055230626430276[/C][/ROW]
[ROW][C]265[/C][C]0.932274104540666[/C][C]0.135451790918668[/C][C]0.0677258954593341[/C][/ROW]
[ROW][C]266[/C][C]0.909594077369243[/C][C]0.180811845261515[/C][C]0.0904059226307573[/C][/ROW]
[ROW][C]267[/C][C]0.880846047985915[/C][C]0.23830790402817[/C][C]0.119153952014085[/C][/ROW]
[ROW][C]268[/C][C]0.84701011725468[/C][C]0.305979765490641[/C][C]0.15298988274532[/C][/ROW]
[ROW][C]269[/C][C]0.799545088133514[/C][C]0.400909823732972[/C][C]0.200454911866486[/C][/ROW]
[ROW][C]270[/C][C]0.805667140917107[/C][C]0.388665718165786[/C][C]0.194332859082893[/C][/ROW]
[ROW][C]271[/C][C]0.754205609090781[/C][C]0.491588781818438[/C][C]0.245794390909219[/C][/ROW]
[ROW][C]272[/C][C]0.688255057221105[/C][C]0.62348988555779[/C][C]0.311744942778895[/C][/ROW]
[ROW][C]273[/C][C]0.622681072770833[/C][C]0.754637854458333[/C][C]0.377318927229167[/C][/ROW]
[ROW][C]274[/C][C]0.545204538435355[/C][C]0.90959092312929[/C][C]0.454795461564645[/C][/ROW]
[ROW][C]275[/C][C]0.463526910876133[/C][C]0.927053821752266[/C][C]0.536473089123867[/C][/ROW]
[ROW][C]276[/C][C]0.449277471860259[/C][C]0.898554943720518[/C][C]0.550722528139741[/C][/ROW]
[ROW][C]277[/C][C]0.355899602385213[/C][C]0.711799204770426[/C][C]0.644100397614787[/C][/ROW]
[ROW][C]278[/C][C]0.261154215914433[/C][C]0.522308431828867[/C][C]0.738845784085567[/C][/ROW]
[ROW][C]279[/C][C]0.199428179867399[/C][C]0.398856359734799[/C][C]0.800571820132601[/C][/ROW]
[ROW][C]280[/C][C]0.140005506674929[/C][C]0.280011013349858[/C][C]0.859994493325071[/C][/ROW]
[ROW][C]281[/C][C]0.0762791127005028[/C][C]0.152558225401006[/C][C]0.923720887299497[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156627&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156627&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
80.1562100573864970.3124201147729940.843789942613503
90.0646255599623120.1292511199246240.935374440037688
100.04455199656474290.08910399312948590.955448003435257
110.04746878056921080.09493756113842170.952531219430789
120.1968475916097540.3936951832195080.803152408390246
130.2254851199254920.4509702398509840.774514880074508
140.1670851528412370.3341703056824730.832914847158763
150.1117422788308740.2234845576617490.888257721169126
160.07151840100114360.1430368020022870.928481598998856
170.08318108961562510.166362179231250.916818910384375
180.1476744244160020.2953488488320040.852325575583998
190.1721945839059240.3443891678118490.827805416094076
200.1304815883011210.2609631766022420.869518411698879
210.1824562904102990.3649125808205970.817543709589701
220.1785450340900550.357090068180110.821454965909945
230.1592700183109540.3185400366219090.840729981689046
240.1188926759719180.2377853519438350.881107324028082
250.1040170599290470.2080341198580950.895982940070953
260.1735287654762550.347057530952510.826471234523745
270.1341916997570720.2683833995141440.865808300242928
280.1016461615631240.2032923231262480.898353838436876
290.1016989593978490.2033979187956970.898301040602151
300.09970650843766660.1994130168753330.900293491562333
310.07795171582776720.1559034316555340.922048284172233
320.05900410447004440.1180082089400890.940995895529956
330.04349321605383650.0869864321076730.956506783946164
340.03724443335913460.07448886671826930.962755566640865
350.05364054158044790.1072810831608960.946359458419552
360.05729173156377410.1145834631275480.942708268436226
370.04993934746698580.09987869493397160.950060652533014
380.03817286185188050.0763457237037610.961827138148119
390.03132487348099680.06264974696199350.968675126519003
400.02668478347458930.05336956694917860.973315216525411
410.02359774362484370.04719548724968740.976402256375156
420.01971242669408230.03942485338816460.980287573305918
430.01837891998075880.03675783996151760.981621080019241
440.01693075116788440.03386150233576880.983069248832116
450.01454313191988160.02908626383976320.985456868080118
460.01105683185100420.02211366370200840.988943168148996
470.01051482729026910.02102965458053830.989485172709731
480.008344907081459920.01668981416291980.99165509291854
490.005962997467037130.01192599493407430.994037002532963
500.01276946148945530.02553892297891050.987230538510545
510.03164806153415520.06329612306831050.968351938465845
520.02502104316576350.0500420863315270.974978956834237
530.01931666597059230.03863333194118460.980683334029408
540.03987250701356140.07974501402712280.960127492986439
550.03387693640738940.06775387281477890.966123063592611
560.03000297946720540.06000595893441080.969997020532795
570.02391222905754430.04782445811508860.976087770942456
580.0221269641905580.04425392838111590.977873035809442
590.01703657901350720.03407315802701440.982963420986493
600.01281458289340390.02562916578680780.987185417106596
610.009763973058670260.01952794611734050.99023602694133
620.01473199364737270.02946398729474540.985268006352627
630.01943691599211110.03887383198422220.980563084007889
640.0158265243050570.03165304861011390.984173475694943
650.01313298046510560.02626596093021130.986867019534894
660.0135088952108820.02701779042176410.986491104789118
670.01117050172263210.02234100344526420.988829498277368
680.0109216100558180.0218432201116360.989078389944182
690.01134579232463990.02269158464927990.98865420767536
700.01096477733298290.02192955466596590.989035222667017
710.008403146556352280.01680629311270460.991596853443648
720.00642235440053930.01284470880107860.993577645599461
730.007669233677513480.0153384673550270.992330766322487
740.01278410325966420.02556820651932840.987215896740336
750.01177662416187240.02355324832374490.988223375838128
760.009464948009270760.01892989601854150.990535051990729
770.00848211214643390.01696422429286780.991517887853566
780.006747908889137760.01349581777827550.993252091110862
790.005376417827164780.01075283565432960.994623582172835
800.004193054924374330.008386109848748660.995806945075626
810.003138138990887850.00627627798177570.996861861009112
820.002665237407941160.005330474815882320.997334762592059
830.002026043594124450.004052087188248910.997973956405875
840.001480569983391480.002961139966782960.998519430016608
850.9709409518103030.05811809637939490.0290590481896975
860.9649288187787260.07014236244254810.035071181221274
870.9579309177827710.0841381644344590.0420690822172295
880.9509879241006250.09802415179874910.0490120758993745
890.9412998707841360.1174002584317280.0587001292158641
900.9361312757703940.1277374484592130.0638687242296063
910.9240452064567380.1519095870865250.0759547935432624
920.9224789110760480.1550421778479040.0775210889239518
930.9186991335538190.1626017328923620.0813008664461808
940.9116348841150590.1767302317698820.0883651158849412
950.9081183896433090.1837632207133820.091881610356691
960.8976801874385790.2046396251228420.102319812561421
970.9227037435331370.1545925129337260.0772962564668628
980.9327587570009880.1344824859980230.0672412429990116
990.939530309849860.120939380300280.06046969015014
1000.9303016276536180.1393967446927650.0696983723463824
1010.9178428441400820.1643143117198360.082157155859918
1020.9124406089865870.1751187820268260.0875593910134131
1030.9010379587273230.1979240825453540.098962041272677
1040.9258488325647090.1483023348705820.0741511674352909
1050.9406006801831730.1187986396336540.0593993198168269
1060.9504938886032370.09901222279352550.0495061113967628
1070.9448863352130980.1102273295738040.0551136647869018
1080.9385298092792390.1229403814415210.0614701907207606
1090.9442106063988780.1115787872022430.0557893936011217
1100.9363385978692460.1273228042615080.0636614021307541
1110.9290002825657010.1419994348685990.0709997174342994
1120.9306320199681630.1387359600636740.0693679800318372
1130.9215569488088370.1568861023823250.0784430511911626
1140.9197292534141220.1605414931717560.080270746585878
1150.9231328843835240.1537342312329520.0768671156164759
1160.9169220572036120.1661558855927750.0830779427963877
1170.9047450144060840.1905099711878330.0952549855939164
1180.8967267736131210.2065464527737570.103273226386879
1190.9993448276072120.001310344785575850.000655172392787926
1200.9991566435089410.001686712982117880.000843356491058942
1210.9990782686471310.001843462705737120.000921731352868562
1220.9988402489057050.002319502188589240.00115975109429462
1230.9985812636954770.002837472609045440.00141873630452272
1240.9999917902898311.6419420338608e-058.20971016930398e-06
1250.9999938253361741.23493276510552e-056.17466382552759e-06
1260.9999910810427181.7837914565066e-058.91895728253302e-06
1270.9999894518330872.10963338262403e-051.05481669131201e-05
1280.99998490240213.01951957999193e-051.50975978999596e-05
1290.9999786708335554.26583328900125e-052.13291664450062e-05
1300.9999697146446146.05707107711293e-053.02853553855646e-05
1310.9999575905316988.48189366037378e-054.24094683018689e-05
1320.9999572380619668.5523876068829e-054.27619380344145e-05
1330.9999410857502720.0001178284994557045.89142497278518e-05
1340.9999381753148230.0001236493703541956.18246851770974e-05
1350.9999588706274938.22587450134072e-054.11293725067036e-05
1360.9999705380294795.89239410427466e-052.94619705213733e-05
1370.9999587381737618.25236524781716e-054.12618262390858e-05
1380.999977040904014.59181919792278e-052.29590959896139e-05
1390.999982186448663.56271026806244e-051.78135513403122e-05
1400.9999745030644115.09938711779524e-052.54969355889762e-05
1410.999966706932756.65861345003704e-053.32930672501852e-05
1420.999955918355648.81632887191573e-054.40816443595787e-05
1430.9999399701491770.0001200597016450696.00298508225346e-05
1440.9999340258486820.0001319483026351756.59741513175877e-05
1450.9999454319231180.0001091361537633255.45680768816626e-05
1460.9999230467390350.0001539065219305497.69532609652746e-05
1470.9999779434041554.41131916903329e-052.20565958451665e-05
1480.9999919761355221.60477289558168e-058.0238644779084e-06
1490.9999883877079392.32245841230326e-051.16122920615163e-05
1500.9999860886437552.78227124893723e-051.39113562446862e-05
1510.9999874515238872.50969522257566e-051.25484761128783e-05
1520.999988064182022.38716359600966e-051.19358179800483e-05
1530.9999830321500833.39356998341329e-051.69678499170665e-05
1540.9999873289844832.53420310348252e-051.26710155174126e-05
1550.9999822892643163.54214713674223e-051.77107356837111e-05
1560.9999987399656242.52006875199438e-061.26003437599719e-06
1570.9999981850480253.62990394996937e-061.81495197498469e-06
1580.9999973244985055.35100298912036e-062.67550149456018e-06
1590.9999962154693877.56906122662588e-063.78453061331294e-06
1600.9999954061117469.18777650704991e-064.59388825352495e-06
1610.9999934908297041.30183405910855e-056.50917029554275e-06
1620.999999997513334.97333979602829e-092.48666989801415e-09
1630.9999999958015278.39694592611993e-094.19847296305997e-09
1640.99999999629817.40379968298278e-093.70189984149139e-09
1650.9999999940958731.18082532028574e-085.90412660142871e-09
1660.9999999964321327.13573564127867e-093.56786782063934e-09
1670.9999999968767216.24655864216466e-093.12327932108233e-09
1680.9999999976479224.70415605831604e-092.35207802915802e-09
1690.9999999975288364.94232747380623e-092.47116373690312e-09
1700.9999999993145461.37090775665864e-096.85453878329318e-10
1710.9999999996644546.71092641172545e-103.35546320586272e-10
1720.9999999994477791.10444117416823e-095.52220587084114e-10
1730.9999999992532941.49341270839486e-097.4670635419743e-10
1740.9999999988894022.22119510867508e-091.11059755433754e-09
1750.9999999999614527.70955949953006e-113.85477974976503e-11
1760.9999999999493431.01313487613004e-105.0656743806502e-11
1770.9999999999960057.98996065012396e-123.99498032506198e-12
1780.9999999999930181.39632609184262e-116.98163045921309e-12
1790.9999999999981753.64913084346193e-121.82456542173097e-12
1800.9999999999968386.32464537941888e-123.16232268970944e-12
1810.9999999999958828.23639837502543e-124.11819918751271e-12
1820.9999999999980073.98602425582955e-121.99301212791477e-12
1830.9999999999961587.68344168317863e-123.84172084158931e-12
1840.999999999993151.3700301910228e-116.850150955114e-12
1850.9999999999993051.38938716754121e-126.94693583770603e-13
1860.9999999999986292.74135814639241e-121.37067907319621e-12
1870.9999999999976084.78316318538417e-122.39158159269209e-12
1880.999999999995379.25899111593977e-124.62949555796988e-12
1890.9999999999938461.23085076831691e-116.15425384158456e-12
1900.9999999999889782.2044239258345e-111.10221196291725e-11
1910.999999999995968.07920724850765e-124.03960362425383e-12
1920.9999999999921351.57301659464594e-117.86508297322968e-12
1930.9999999999861082.77839265125826e-111.38919632562913e-11
1940.9999999999801413.9717884789899e-111.98589423949495e-11
1950.9999999999627377.4525102621291e-113.72625513106455e-11
1960.9999999999478521.04295666182109e-105.21478330910545e-11
1970.9999999999057681.88464268024021e-109.42321340120106e-11
1980.9999999999915721.68569616393048e-118.42848081965241e-12
1990.9999999999930411.39185313997419e-116.95926569987097e-12
2000.9999999999904081.91830494544137e-119.59152472720683e-12
2010.9999999999821383.57250620464437e-111.78625310232218e-11
2020.999999999978364.32809748776928e-112.16404874388464e-11
2030.9999999999577088.4583547997673e-114.22917739988365e-11
2040.9999999999339811.32038304540062e-106.60191522700309e-11
2050.999999999879072.41859114621197e-101.20929557310599e-10
2060.9999999997700644.5987286394342e-102.2993643197171e-10
2070.99999999958478.30600893080944e-104.15300446540472e-10
2080.999999999203731.59254012179602e-097.96270060898008e-10
2090.9999999986670382.66592334684349e-091.33296167342175e-09
2100.9999999989343142.13137178562031e-091.06568589281015e-09
2110.9999999983507333.29853426391307e-091.64926713195654e-09
2120.9999999968456136.30877476314843e-093.15438738157422e-09
2130.9999999940719871.18560250837411e-085.92801254187057e-09
2140.9999999896364992.07270010006251e-081.03635005003126e-08
2150.999999992851151.42976992224459e-087.14884961122294e-09
2160.9999999913915561.72168880169596e-088.60844400847981e-09
2170.9999999841461283.17077442020754e-081.58538721010377e-08
2180.9999999830222353.3955529617202e-081.6977764808601e-08
2190.9999999780899794.38200428495624e-082.19100214247812e-08
2200.9999999650390566.99218888481956e-083.49609444240978e-08
2210.9999999376327071.24734585599417e-076.23672927997083e-08
2220.9999998913448442.17310311046901e-071.0865515552345e-07
2230.9999998665930032.66813993244949e-071.33406996622475e-07
2240.9999997559548094.88090382204311e-072.44045191102155e-07
2250.9999996980837296.03832542852012e-073.01916271426006e-07
2260.9999997481414315.03717138252011e-072.51858569126005e-07
2270.9999996295332677.40933465878378e-073.70466732939189e-07
2280.9999993201927431.35961451329015e-066.79807256645073e-07
2290.9999990153779891.96924402263123e-069.84622011315616e-07
2300.9999998966620132.06675974289062e-071.03337987144531e-07
2310.9999998442492483.11501503624289e-071.55750751812144e-07
2320.9999997064901625.87019676784411e-072.93509838392206e-07
2330.9999995602507488.79498503658386e-074.39749251829193e-07
2340.9999991760553171.64788936652742e-068.23944683263712e-07
2350.9999985982052812.80358943694572e-061.40179471847286e-06
2360.9999974857952515.02840949859502e-062.51420474929751e-06
2370.9999953920411119.21591777842929e-064.60795888921464e-06
2380.9999962987726167.40245476872632e-063.70122738436316e-06
2390.9999944916091471.10167817065327e-055.50839085326635e-06
2400.9999914495812981.71008374037885e-058.55041870189423e-06
2410.9999853217789672.93564420654714e-051.46782210327357e-05
2420.9999745603298815.08793402380878e-052.54396701190439e-05
2430.99996344396747.31120651999839e-053.6556032599992e-05
2440.999939273232240.0001214535355192486.07267677596239e-05
2450.9998949865357640.0002100269284728640.000105013464236432
2460.9998381356404610.0003237287190786210.000161864359539311
2470.9997812149920780.0004375700158440920.000218785007922046
2480.9996296332079210.0007407335841584190.00037036679207921
2490.9994934019325740.001013196134851180.000506598067425588
2500.999683766205010.0006324675899793630.000316233794989682
2510.9994902620264980.001019475947003210.000509737973501607
2520.9992152959207950.001569408158410830.000784704079205413
2530.9987851671864390.002429665627122160.00121483281356108
2540.998077431780450.003845136439100880.00192256821955044
2550.997108487053140.005783025893719260.00289151294685963
2560.9959710713690820.008057857261836180.00402892863091809
2570.9941039504799110.0117920990401790.00589604952008951
2580.9918642824568670.01627143508626610.00813571754313305
2590.9876239755437910.0247520489124190.0123760244562095
2600.9816250982064680.03674980358706420.0183749017935321
2610.9801778707494750.03964425850105020.0198221292505251
2620.9706562580946140.05868748381077240.0293437419053862
2630.9613618823703910.07727623525921830.0386381176296091
2640.9447693735697240.1104612528605520.055230626430276
2650.9322741045406660.1354517909186680.0677258954593341
2660.9095940773692430.1808118452615150.0904059226307573
2670.8808460479859150.238307904028170.119153952014085
2680.847010117254680.3059797654906410.15298988274532
2690.7995450881335140.4009098237329720.200454911866486
2700.8056671409171070.3886657181657860.194332859082893
2710.7542056090907810.4915887818184380.245794390909219
2720.6882550572211050.623489885557790.311744942778895
2730.6226810727708330.7546378544583330.377318927229167
2740.5452045384353550.909590923129290.454795461564645
2750.4635269108761330.9270538217522660.536473089123867
2760.4492774718602590.8985549437205180.550722528139741
2770.3558996023852130.7117992047704260.644100397614787
2780.2611542159144330.5223084318288670.738845784085567
2790.1994281798673990.3988563597347990.800571820132601
2800.1400055066749290.2800110133498580.859994493325071
2810.07627911270050280.1525582254010060.923720887299497






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1430.521897810218978NOK
5% type I error level1820.664233576642336NOK
10% type I error level2020.737226277372263NOK

\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 & 143 & 0.521897810218978 & NOK \tabularnewline
5% type I error level & 182 & 0.664233576642336 & NOK \tabularnewline
10% type I error level & 202 & 0.737226277372263 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156627&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]143[/C][C]0.521897810218978[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]182[/C][C]0.664233576642336[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]202[/C][C]0.737226277372263[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156627&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156627&T=6

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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 level1430.521897810218978NOK
5% type I error level1820.664233576642336NOK
10% type I error level2020.737226277372263NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 2 ; 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')
}