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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 computationSat, 10 Dec 2011 06:44:02 -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/10/t1323517491wi6yvvgi2pf9h0a.htm/, Retrieved Sun, 05 May 2024 07:47:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=153487, Retrieved Sun, 05 May 2024 07:47:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Multiple Regression] [2011-12-10 11:44:02] [03e2d80b807f43987d5267414f2021cf] [Current]
-    D    [Multiple Regression] [Multiple Regression] [2011-12-10 12:36:38] [4fa66579543b578a51dd12826fe0c6d2]
-    D    [Multiple Regression] [Multiple Regression] [2011-12-10 12:52:41] [4fa66579543b578a51dd12826fe0c6d2]
- RM        [Multiple Regression] [Multiple Regression] [2011-12-10 12:57:23] [4fa66579543b578a51dd12826fe0c6d2]
- RM D      [Central Tendency] [Mean] [2011-12-10 16:23:18] [4fa66579543b578a51dd12826fe0c6d2]
- RM D      [Skewness and Kurtosis Test] [Skewness & Kurtosis] [2011-12-10 16:28:55] [4fa66579543b578a51dd12826fe0c6d2]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
30	210907	79	115	94
28	120982	58	109	103
25	385534	121	96	91
26	149061	43	100	93
30	230964	102	116	115
23	135473	82	88	66
36	215147	101	135	117
25	153935	50	89	84
31	225548	81	118	94
35	210767	94	135	133
42	170266	44	154	122
33	294424	107	127	124
14	106408	33	46	37
17	96560	42	54	38
35	149112	56	128	95
28	152871	59	97	90
39	183167	91	149	138
16	103597	27	60	49
23	235800	105	84	62
27	143246	67	105	104
28	187681	114	107	91
28	167488	69	104	72
34	143756	105	132	120
28	243199	88	108	105
29	130585	67	109	107
33	182079	124	124	118
52	265318	110	199	197
24	310839	130	91	85
41	225060	93	158	139
32	144966	39	122	50
23	99466	28	91	69
13	102010	28	50	44
25	99923	44	99	80
31	317394	116	117	82
13	22648	12	39	28
8	31414	18	25	9
38	128423	32	145	120
24	97839	25	87	66
41	328107	129	159	144
31	158015	59	119	114
16	120445	36	59	56
37	324598	113	136	133
30	131069	47	107	83
35	204271	92	130	116
20	116048	50	75	50
31	195838	111	116	98
39	254488	120	150	117
39	224330	131	144	132
14	135781	45	47	44
17	81240	58	68	50
17	98146	15	68	48
24	59194	7	80	68
12	118612	54	48	43
15	135131	38	60	60
17	108446	22	68	65
17	121848	37	64	52
16	81872	32	64	61
23	58981	0	91	61
22	53515	5	88	81
17	98104	55	66	47
12	135458	43	48	29
17	31774	0	66	47
14	51567	21	56	45
15	102538	50	58	45
18	99373	12	72	62
17	86230	21	61	54
4	30837	8	15	4
18	64175	37	72	59
12	59382	29	41	24
16	119308	32	61	58
21	76702	35	67	42
17	84105	17	66	63
38	176508	60	146	93
25	165446	69	93	60
38	237213	78	140	123
30	133131	44	99	90
47	324799	158	181	168
31	236785	77	116	71
30	344297	80	108	108
34	174724	123	129	120
31	174415	73	118	114
33	223632	105	125	120
25	124817	47	95	81
36	325107	84	136	126
0	7176	0	0	0
32	265769	96	124	120
20	175824	57	80	77
28	111665	39	104	80
34	362301	76	125	110
28	168809	76	118	100
4	24188	8	12	7
39	329267	79	144	140
29	218946	76	108	96
44	244052	101	166	164
21	341570	94	80	78
35	256462	123	127	124
29	196553	41	111	99
25	174184	72	98	70
36	187559	75	135	116
23	73566	22	88	67
34	182999	73	129	104
33	152299	62	122	98
38	346485	118	147	111
35	193339	100	87	71
24	122774	24	90	69
20	112611	46	78	73
29	286468	57	111	107
37	148446	135	141	129
25	140344	33	93	73
32	220516	98	124	119
29	243060	58	112	104
28	162765	68	108	107
31	232138	131	117	90
21	85574	37	78	36
33	232317	118	126	106
31	164709	81	115	63
18	220801	51	72	63
17	92661	40	45	41
20	133328	56	78	56
12	61361	27	39	25
30	100750	83	119	93
22	101523	59	88	87
42	243511	133	155	110
1	22938	12	0	0
32	152474	106	123	83
36	132487	71	136	98
0	21054	4	0	0
24	209641	62	88	60
13	46698	14	52	33
19	131698	60	75	59
33	244749	98	124	115
43	272458	100	162	152
14	108043	45	54	38
45	351067	136	170	160
31	229242	63	120	119
30	84207	14	112	101
18	250047	41	71	61
31	299775	91	120	97
21	173260	41	79	78
18	92499	25	71	55
7	74408	29	28	21
30	181633	47	110	73
37	271856	109	147	86
32	95227	37	111	48
22	139942	54	88	87
19	72880	14	76	67
13	65475	16	51	46
15	71965	32	59	56
16	181528	32	61	60
18	134019	32	67	54
13	56375	10	49	40
16	65490	27	62	40
20	76302	29	76	68
22	104011	25	88	79
17	30989	5	68	41
17	63123	34	68	60
23	74914	35	90	79
14	81437	37	54	40
21	65745	26	77	42
18	56653	38	68	49
18	158399	23	72	57
17	73624	30	64	40
15	91899	18	59	33
21	139526	28	84	77
15	86678	12	59	50
22	150580	27	83	71
21	99611	41	81	67
10	31706	26	32	25
16	89806	27	62	40
2	19764	10	8	4
16	64187	10	61	54
16	72535	17	64	39
30	179321	108	116	103
22	123185	49	68	51
26	52746	0	101	70
18	33170	1	67	22
11	101645	20	44	38
44	173326	86	166	148
40	258873	104	139	124
34	180083	63	130	70
36	202925	115	139	134
39	132943	83	156	156
33	221698	105	126	110
43	260561	114	165	158
30	84853	38	113	109
13	101011	30	52	39
32	215641	71	121	92
28	167542	59	108	70
30	269651	106	115	93
39	116408	34	59	31
26	78800	20	82	66
39	277965	115	149	133
33	150629	85	122	113
18	65029	21	67	61
14	101097	30	52	41
28	233328	92	107	102
28	206161	75	107	99
38	311473	128	146	129
36	177939	55	141	73
32	207176	56	123	114
23	119016	118	85	74
40	182192	77	155	138
40	194979	66	155	151
33	275541	116	127	115
30	135649	99	116	108
22	120221	53	85	69
26	145790	30	99	99
8	80953	49	28	27
45	241066	75	158	93
33	204713	68	122	69
28	182613	81	99	99
19	43287	13	71	64
20	155754	74	75	31
31	201940	109	119	92
32	235454	151	124	106
17	125930	37	68	65
31	224549	54	117	114
10	82316	27	39	38
9	41566	0	36	27
11	61857	23	32	30
18	91735	7	71	49
40	184510	64	151	140
22	79863	29	71	49
8	38214	16	27	21
35	151101	48	131	124
43	172494	46	165	139
38	250579	130	147	120
13	98866	25	49	39
28	85439	32	104	78
40	351619	95	150	141
32	165543	70	115	90
27	141722	19	107	36
41	104389	135	156	148
13	136084	27	51	41
32	199476	87	118	105
0	14688	4	0	0
0	7199	7	0	0
5	46660	12	15	13
1	17547	0	4	4
16	133368	37	64	57
24	152601	46	85	46
11	79619	42	40	32
17	99643	33	67	46
16	77272	21	61	48
24	49289	15	76	44
18	89746	28	71	55
20	44296	10	76	38
16	77648	31	62	52
22	124064	43	88	86
8	92630	27	30	24
18	52915	20	68	49
13	60812	26	52	43
16	80949	11	61	56
18	67989	23	71	57
7	73504	23	25	3
14	61254	36	41	30
15	87186	28	59	48
17	50090	16	60	36
17	46455	22	67	12
16	38395	16	63	43
16	52164	32	64	43
15	70551	23	54	47
17	84856	29	67	43
10	85709	21	40	35
6	34662	18	22	7
1	19349	13	2	0
16	62088	13	58	38
9	40151	16	36	19
16	27634	2	59	17
17	76990	42	68	67
7	37460	5	21	14
15	54157	37	55	30
14	49862	17	54	54
14	84337	38	55	35
19	103425	17	76	46
16	70344	20	64	61
1	43410	7	3	3
16	104838	46	63	52
10	62215	24	40	25
19	69304	40	69	40
12	53117	3	48	32
14	86680	37	52	49
19	77945	28	76	67
14	89113	19	43	32
11	91005	29	39	23
4	40248	8	14	7
20	50857	15	71	37
12	56613	15	44	35
15	62792	28	60	51

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.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=153487&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]'Gertrude Mary Cox' @ cox.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=153487&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153487&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'Gertrude Mary Cox' @ cox.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
compendiums_reviewed[t] = + 0.505134269906288 + 1.85787648835111e-06time_in_rfc[t] + 0.00490839798960328blogged_computations[t] + 0.270041858057389feedback_messages_p1[t] -0.018815687970834`feedback_messages_p120 `[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
compendiums_reviewed[t] =  +  0.505134269906288 +  1.85787648835111e-06time_in_rfc[t] +  0.00490839798960328blogged_computations[t] +  0.270041858057389feedback_messages_p1[t] -0.018815687970834`feedback_messages_p120
`[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153487&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]compendiums_reviewed[t] =  +  0.505134269906288 +  1.85787648835111e-06time_in_rfc[t] +  0.00490839798960328blogged_computations[t] +  0.270041858057389feedback_messages_p1[t] -0.018815687970834`feedback_messages_p120
`[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153487&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153487&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
compendiums_reviewed[t] = + 0.505134269906288 + 1.85787648835111e-06time_in_rfc[t] + 0.00490839798960328blogged_computations[t] + 0.270041858057389feedback_messages_p1[t] -0.018815687970834`feedback_messages_p120 `[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)0.5051342699062880.2779171.81760.0701830.035092
time_in_rfc1.85787648835111e-063e-060.71430.4756410.23782
blogged_computations0.004908397989603280.0058580.83780.4028330.201416
feedback_messages_p10.2700418580573890.00823532.793400
`feedback_messages_p120 `-0.0188156879708340.008616-2.18390.0297880.014894

\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) & 0.505134269906288 & 0.277917 & 1.8176 & 0.070183 & 0.035092 \tabularnewline
time_in_rfc & 1.85787648835111e-06 & 3e-06 & 0.7143 & 0.475641 & 0.23782 \tabularnewline
blogged_computations & 0.00490839798960328 & 0.005858 & 0.8378 & 0.402833 & 0.201416 \tabularnewline
feedback_messages_p1 & 0.270041858057389 & 0.008235 & 32.7934 & 0 & 0 \tabularnewline
`feedback_messages_p120
` & -0.018815687970834 & 0.008616 & -2.1839 & 0.029788 & 0.014894 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153487&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]0.505134269906288[/C][C]0.277917[/C][C]1.8176[/C][C]0.070183[/C][C]0.035092[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]1.85787648835111e-06[/C][C]3e-06[/C][C]0.7143[/C][C]0.475641[/C][C]0.23782[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.00490839798960328[/C][C]0.005858[/C][C]0.8378[/C][C]0.402833[/C][C]0.201416[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]0.270041858057389[/C][C]0.008235[/C][C]32.7934[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]`feedback_messages_p120
`[/C][C]-0.018815687970834[/C][C]0.008616[/C][C]-2.1839[/C][C]0.029788[/C][C]0.014894[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153487&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153487&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)0.5051342699062880.2779171.81760.0701830.035092
time_in_rfc1.85787648835111e-063e-060.71430.4756410.23782
blogged_computations0.004908397989603280.0058580.83780.4028330.201416
feedback_messages_p10.2700418580573890.00823532.793400
`feedback_messages_p120 `-0.0188156879708340.008616-2.18390.0297880.014894






Multiple Linear Regression - Regression Statistics
Multiple R0.984356863359783
R-squared0.96895843444351
Adjusted R-squared0.968521229294827
F-TEST (value)2216.25577229001
F-TEST (DF numerator)4
F-TEST (DF denominator)284
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.87984018316295
Sum Squared Residuals1003.59894844249

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.984356863359783 \tabularnewline
R-squared & 0.96895843444351 \tabularnewline
Adjusted R-squared & 0.968521229294827 \tabularnewline
F-TEST (value) & 2216.25577229001 \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 & 1.87984018316295 \tabularnewline
Sum Squared Residuals & 1003.59894844249 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153487&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.984356863359783[/C][/ROW]
[ROW][C]R-squared[/C][C]0.96895843444351[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.968521229294827[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]2216.25577229001[/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]1.87984018316295[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1003.59894844249[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153487&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153487&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 R0.984356863359783
R-squared0.96895843444351
Adjusted R-squared0.968521229294827
F-TEST (value)2216.25577229001
F-TEST (DF numerator)4
F-TEST (DF denominator)284
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.87984018316295
Sum Squared Residuals1003.59894844249






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
13030.5708758749549-0.570875874954911
22828.5111376338764-0.511137633876425
32526.0271157488717-1.02711574887165
42626.2474591351406-0.247459135140635
53030.5959448681125-0.595944868112521
62323.6811631095353-0.681163109535305
73635.65481436485540.345185635144615
82523.48975396417831.51024603582169
93131.4180194147722-0.418019414772234
103535.3112670723758-0.311267072375839
114240.32836918801051.67163081198947
123333.5395069469051-0.539506946905068
131412.59054934065471.40945065934532
141714.75794773139212.2420522686079
153533.83490371037161.1650962896284
162825.57939350213522.42060649786476
173938.93177206027780.0682279397221915
181616.1106742190617-0.11067421906174
192322.97554675739680.024453242603238
202727.4976938577191-0.497693857719122
212828.595630964726-0.595630964725977
222827.88460945253820.115390547461763
233434.6752396583493-0.675239658349256
242828.5777804303423-0.57778043034228
252928.49789165181720.50210834818284
263332.71699513229740.283004867702643
275251.5696253460650.430374653934966
282424.6952020840188-0.695202084018761
294141.4309819105292-0.430981910529177
303232.9702129989708-0.970212998970839
312324.1028915696403-1.10289156964033
321313.5062940263446-0.506294026344613
332526.1356372838091-1.1356372838091
343131.7161982659501-0.716198265950065
351310.61090543354452.38909456645549
3687.233554025421420.766445974578577
373837.79898393965840.20101606034162
382423.06142324230790.938576757692077
394141.9750962548532-0.975096254853228
403131.0782947847539-0.0782947847538538
411615.78439963019070.215600369809319
423735.88605243078121.11394756921882
433028.31211569943071.6878843005693
443534.25903891594550.740961084054461
452020.2785119758691-0.278511975869071
463130.89472737599330.105272624006693
473939.8717925164469-0.871792516446899
483937.967268587291.03273141271
491412.84235356488381.15764643511619
501718.3628171885777-1.36281718857765
511718.2207967108784-1.22079671087844
522420.97335005925933.02664994074065
531213.14348881139-1.14348881138996
541516.0162803064519-1.01628030645187
551717.9544249291315-0.954424929131502
561717.2173866710637-0.21738667106372
571616.9492330188799-0.949233018879874
582324.0407658000672-1.04076580006722
592222.8687133035411-0.86871330354106
601717.8957865715061-0.895786571506119
611213.3842138524188-1.38421385241876
621717.5025917346056-0.502591734605609
631414.979653837089-0.979653837088994
641515.75677891739-0.756778917390011
651819.0250989319987-1.02509893199872
661716.22492150835410.775078491645856
6744.5770579100719-0.577057910071895
681819.1388624090143-1.13886240901432
691211.3779419022890.62205809771103
701616.2651059728381-0.265105972838122
712118.12197663702192.87802336297808
721717.3822080274074-0.382208027407422
733838.8038205075795-0.803820507579544
742525.1361434857678-0.136143485767757
753836.82023227614841.1797677238516
763026.00917676652593.99082323347408
774747.6006383070908-0.600638307090792
783131.3119398881278-0.311939888127828
793028.66989377973231.33010622026773
803434.0109999670812-0.0109999670812058
813130.90743967295990.0925603270401305
823332.93334639433110.0666536056689318
832525.0976293348785-0.0976293348785303
843635.87636436401110.123635635988901
8500.518466391586699-0.518466391586699
863232.6974142959569-0.697414295956901
872021.2661129018384-1.26611290183839
882827.48311976987420.516880230125759
893433.23678960710410.763210392895926
902831.1751692429267-3.17516924292666
9143.698132251216180.301867748783821
923937.75646637312211.24353362687794
932928.64316176773260.356838232267432
944443.1954765499010.804523450098973
952121.7368435359211-0.736843535921125
963533.54751260748791.45248739251206
972929.1834429201525-0.183442920152471
982526.3291552150704-1.32915521507038
993635.49475660853590.505243391464097
1002323.2528279824239-0.252827982423921
1013434.0820050030755-0.0820050030754919
1023332.19357693842080.806423061579241
1033839.3356633374194-1.33566333741937
1043523.512901856311511.4870981436885
1052423.8565195048150.143480495184982
1062020.6298576132632-0.629857613263178
1072929.2785027486695-0.278502748669541
1083737.0922405695467-0.0922405695467127
1092524.66820079891060.331799201089393
1103232.6419722951796-0.641972295179589
1112929.5292533660227-0.52925336602269
1122828.2925446571445-0.292544657144514
1133131.4809036141366-0.48090361413658
1142121.2316310796621-0.231631079662059
1153333.5467527151463-0.546752715146306
1163131.0781488200211-0.0781488200211302
1171819.4233089918499-1.42330899184991
1181712.25406328855584.74593671144418
1192021.0372979158726-1.03729791587256
1201210.81290243979461.1870975602054
1213031.4848344867864-1.48483448678642
1222223.1100656016074-1.11006560160739
1234241.39712688618190.602873113818105
12410.6066510166713280.393348983328672
1253232.9621487559687-0.962148755968666
1263635.98153028414340.0184697158565785
12700.563883593450448-0.563883593450448
1282423.83368426095630.166315739043732
1291314.0818698739604-1.08186987396044
1301920.1873305310703-1.18733053107029
1313332.76225696800510.237743031994863
1324342.388963814860.611036185140024
1331414.7940069210767-0.79400692107665
1344544.72152131605090.278478683949076
1353131.4062227635513-0.40622276355127
1363029.07460166458860.925398335411391
1371819.1961499856165-1.19614998561647
1383132.0886446449714-1.08864464497138
1392120.89395739266040.106042607339614
1401818.9378050206211-0.937805020621083
14177.95176126356938-0.951761263569382
1423029.40433982006820.595660179931811
1433739.6232284903346-2.62322849033463
1443229.93515822164792.06484177835207
1452223.1569013684653-1.15690136846534
1461919.9717839985474-0.971783998547422
1471313.6119262150832-0.611926215083187
1481515.674696186077-0.674696186077007
1491616.3430716720017-0.343071672001661
1501817.98795109408590.0120489059140767
1511313.1383795628118-0.1383795628118
1521616.7493010275724-0.749301027572427
1532020.0329519337638-0.0329519337637752
1542223.0983279704306-1.09832797043057
1551718.1786531354501-1.17865313545005
1561718.0231996087794-1.02319960877937
1572323.6334370342598-0.63343703425983
1581414.6676776993691-0.667677699369087
1592120.75786288300650.242137116993484
1601818.2377853075373-0.237785307537331
1611819.2828327673399-1.28283276733994
1621717.3192219050123-0.319221905012263
1631516.0757743474705-1.07577434747054
1642122.1364995915953-1.13649959159528
1651515.7167572908831-0.716757290883056
1662221.99498043007550.0050195699244691
1672121.5041829309638-0.504182930963768
168108.862605708141221.13739429185878
1691616.7944771522632-0.794477152263173
17022.67600943329387-0.676009433293868
1711616.1299759590358-0.129975959035785
1721617.2722051916224-1.27220519162244
1733030.7552371962122-0.755237196212232
1742218.37775454800433.62224545199573
1752626.5602593289987-0.560259328998728
1761818.2505277855012-0.250527785501192
1771111.9589916969902-0.958991696990211
1784443.29150141507520.708498584924803
1794036.69923468258763.30076531741245
1803434.9372787044052-0.937278704405174
1813636.4611257069946-0.46112570699458
1823940.3508055105367-1.35080551053675
1833333.3879519989683-0.387951998968327
1844343.1328096764797-0.132809676479671
1853029.31311975884130.686880241158722
1861314.1484169596809-1.14841695968091
1873232.1982864026199-0.198286402619942
1882828.9534246061438-0.953424606143797
1893030.8313574050767-0.831357405076732
1903916.237474786098922.7625252139011
1912621.65129985161124.34870014838875
1923939.3197750272252-0.319775027225167
1933332.02113211888360.97886788111642
1941817.67407400147310.325925998526894
1951414.1109453611172-0.110945361117234
1962828.3654801293393-0.365480129339294
1972828.2880114968695-0.288011496869506
1983838.7109751041729-0.710975104172849
1993637.8080416080161-1.8080416080161
2003232.2350720890584-0.235072089058427
2012322.86663928585340.13336071414661
2024040.4814942071916-0.481494207191557
2034040.2066545523416-0.206654552341621
2043333.7179414388195-0.71794143881947
2053030.5358459924524-0.535845992452363
2062222.6439105975518-0.64391059755181
2072625.79463686140.205363138599996
20887.94919489715270.0508051028472974
2094542.23788956444722.76211043555277
2103332.8660610157730.133938984226997
2112826.11337774480031.88662225519968
2121918.61813323526360.381866764736397
2132020.8275804429119-0.827580442911865
2143131.8192670443432-0.81926704434319
2153233.1744742912324-1.17447429123239
2161718.0605340114979-1.06053401149788
2173130.6372810329670.362718967032987
2181010.6072302979872-0.607230297987153
21999.79584207887456-0.795842078874565
220118.809818908318522.19018109168148
2211818.9609285669961-0.960928566996128
2224039.30419278285550.695807217144514
2232219.04685661309772.9531433869023
22487.550666250027770.449333749972229
2253534.06380246580810.936197534191918
2264342.99291907593290.00708092406711823
2273839.0470414190653-1.0470414190653
2281313.3097642504932-0.309764250493209
2292827.43766769110520.56233230889481
2304039.47796345659680.52203654340317
2313230.51768233591431.48231766408574
2322729.0788098485814-2.07880984858141
2334140.70351790451440.296482095485587
2341313.891179833789-0.891179833788977
2353231.19205867922640.80794132077361
23600.552056351725605-0.552056351725605
23700.552867908673155-0.552867908673155
23854.456747489967980.54325251003202
23911.54263910899361-0.542639108993608
2401617.1447109683554-1.14471096835535
2412423.10247067564660.897529324353421
2421111.0587815608245-0.0587815608245133
2431718.0795186336786-1.07951863367864
2441616.3211727785965-0.321172778596499
2452420.36562405562953.63437594437048
2461818.9474154806175-0.947415480617462
2472020.4446998162002-0.444699816200167
2481616.5657344262262-0.565734426226205
2492223.0922253156685-1.0922253156685
25088.45943534516318-0.459435345163184
2511818.142489401411-0.142489401411015
2521313.9788358388839-0.97883583888393
2531616.1283947067815-0.128394706781461
2541818.8448202959707-0.844820295970723
25577.44918816458914-0.449188164589142
2561411.30288450517742.69711549482262
2571515.8338668359145-0.833866835914459
2581716.20187638753470.798123612465257
2591718.5664429121389-1.56644291213894
2601616.8585642803798-0.858564280379805
2611617.232721607639-1.23272160763895
2621514.44702546826660.552974531733387
2631718.0888596859995-1.08885968599948
2641010.9105726069444-0.9105726069444
26566.46709421002509-0.467094210025088
26611.14497521205902-0.144975212059016
2671615.63172690361670.368273096383276
268910.0222730552439-1.02227305524387
2691616.1788945546463-0.178894554646343
2701717.9565201501643-0.956520150164327
27176.006731700721430.993268299278574
2721515.0751935665326-0.0751935665325974
2731414.2474276578657-0.247427657865658
2741415.0420942370865-1.04209423708647
2751920.4383874772404-1.43838747724043
2761616.8689146428469-0.868914642846923
27711.3738219844525-0.373821984452502
2781616.9599179158459-0.95991791584591
2791011.0698057304042-1.06980573040423
2801918.71048914876560.289510851234438
2811212.9784514609948-0.978451460994812
2821413.96799363794520.0320063620547714
2831920.0499117148154-1.04991171481537
2841411.77365266061622.22634733938379
2851110.91542550233620.0845744976638473
28644.26805346373388-0.268053463733876
2872019.15003773147210.849962268527854
2881211.90723287693130.0927671230687298
2891516.0021405910025-1.00214059100251

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 30 & 30.5708758749549 & -0.570875874954911 \tabularnewline
2 & 28 & 28.5111376338764 & -0.511137633876425 \tabularnewline
3 & 25 & 26.0271157488717 & -1.02711574887165 \tabularnewline
4 & 26 & 26.2474591351406 & -0.247459135140635 \tabularnewline
5 & 30 & 30.5959448681125 & -0.595944868112521 \tabularnewline
6 & 23 & 23.6811631095353 & -0.681163109535305 \tabularnewline
7 & 36 & 35.6548143648554 & 0.345185635144615 \tabularnewline
8 & 25 & 23.4897539641783 & 1.51024603582169 \tabularnewline
9 & 31 & 31.4180194147722 & -0.418019414772234 \tabularnewline
10 & 35 & 35.3112670723758 & -0.311267072375839 \tabularnewline
11 & 42 & 40.3283691880105 & 1.67163081198947 \tabularnewline
12 & 33 & 33.5395069469051 & -0.539506946905068 \tabularnewline
13 & 14 & 12.5905493406547 & 1.40945065934532 \tabularnewline
14 & 17 & 14.7579477313921 & 2.2420522686079 \tabularnewline
15 & 35 & 33.8349037103716 & 1.1650962896284 \tabularnewline
16 & 28 & 25.5793935021352 & 2.42060649786476 \tabularnewline
17 & 39 & 38.9317720602778 & 0.0682279397221915 \tabularnewline
18 & 16 & 16.1106742190617 & -0.11067421906174 \tabularnewline
19 & 23 & 22.9755467573968 & 0.024453242603238 \tabularnewline
20 & 27 & 27.4976938577191 & -0.497693857719122 \tabularnewline
21 & 28 & 28.595630964726 & -0.595630964725977 \tabularnewline
22 & 28 & 27.8846094525382 & 0.115390547461763 \tabularnewline
23 & 34 & 34.6752396583493 & -0.675239658349256 \tabularnewline
24 & 28 & 28.5777804303423 & -0.57778043034228 \tabularnewline
25 & 29 & 28.4978916518172 & 0.50210834818284 \tabularnewline
26 & 33 & 32.7169951322974 & 0.283004867702643 \tabularnewline
27 & 52 & 51.569625346065 & 0.430374653934966 \tabularnewline
28 & 24 & 24.6952020840188 & -0.695202084018761 \tabularnewline
29 & 41 & 41.4309819105292 & -0.430981910529177 \tabularnewline
30 & 32 & 32.9702129989708 & -0.970212998970839 \tabularnewline
31 & 23 & 24.1028915696403 & -1.10289156964033 \tabularnewline
32 & 13 & 13.5062940263446 & -0.506294026344613 \tabularnewline
33 & 25 & 26.1356372838091 & -1.1356372838091 \tabularnewline
34 & 31 & 31.7161982659501 & -0.716198265950065 \tabularnewline
35 & 13 & 10.6109054335445 & 2.38909456645549 \tabularnewline
36 & 8 & 7.23355402542142 & 0.766445974578577 \tabularnewline
37 & 38 & 37.7989839396584 & 0.20101606034162 \tabularnewline
38 & 24 & 23.0614232423079 & 0.938576757692077 \tabularnewline
39 & 41 & 41.9750962548532 & -0.975096254853228 \tabularnewline
40 & 31 & 31.0782947847539 & -0.0782947847538538 \tabularnewline
41 & 16 & 15.7843996301907 & 0.215600369809319 \tabularnewline
42 & 37 & 35.8860524307812 & 1.11394756921882 \tabularnewline
43 & 30 & 28.3121156994307 & 1.6878843005693 \tabularnewline
44 & 35 & 34.2590389159455 & 0.740961084054461 \tabularnewline
45 & 20 & 20.2785119758691 & -0.278511975869071 \tabularnewline
46 & 31 & 30.8947273759933 & 0.105272624006693 \tabularnewline
47 & 39 & 39.8717925164469 & -0.871792516446899 \tabularnewline
48 & 39 & 37.96726858729 & 1.03273141271 \tabularnewline
49 & 14 & 12.8423535648838 & 1.15764643511619 \tabularnewline
50 & 17 & 18.3628171885777 & -1.36281718857765 \tabularnewline
51 & 17 & 18.2207967108784 & -1.22079671087844 \tabularnewline
52 & 24 & 20.9733500592593 & 3.02664994074065 \tabularnewline
53 & 12 & 13.14348881139 & -1.14348881138996 \tabularnewline
54 & 15 & 16.0162803064519 & -1.01628030645187 \tabularnewline
55 & 17 & 17.9544249291315 & -0.954424929131502 \tabularnewline
56 & 17 & 17.2173866710637 & -0.21738667106372 \tabularnewline
57 & 16 & 16.9492330188799 & -0.949233018879874 \tabularnewline
58 & 23 & 24.0407658000672 & -1.04076580006722 \tabularnewline
59 & 22 & 22.8687133035411 & -0.86871330354106 \tabularnewline
60 & 17 & 17.8957865715061 & -0.895786571506119 \tabularnewline
61 & 12 & 13.3842138524188 & -1.38421385241876 \tabularnewline
62 & 17 & 17.5025917346056 & -0.502591734605609 \tabularnewline
63 & 14 & 14.979653837089 & -0.979653837088994 \tabularnewline
64 & 15 & 15.75677891739 & -0.756778917390011 \tabularnewline
65 & 18 & 19.0250989319987 & -1.02509893199872 \tabularnewline
66 & 17 & 16.2249215083541 & 0.775078491645856 \tabularnewline
67 & 4 & 4.5770579100719 & -0.577057910071895 \tabularnewline
68 & 18 & 19.1388624090143 & -1.13886240901432 \tabularnewline
69 & 12 & 11.377941902289 & 0.62205809771103 \tabularnewline
70 & 16 & 16.2651059728381 & -0.265105972838122 \tabularnewline
71 & 21 & 18.1219766370219 & 2.87802336297808 \tabularnewline
72 & 17 & 17.3822080274074 & -0.382208027407422 \tabularnewline
73 & 38 & 38.8038205075795 & -0.803820507579544 \tabularnewline
74 & 25 & 25.1361434857678 & -0.136143485767757 \tabularnewline
75 & 38 & 36.8202322761484 & 1.1797677238516 \tabularnewline
76 & 30 & 26.0091767665259 & 3.99082323347408 \tabularnewline
77 & 47 & 47.6006383070908 & -0.600638307090792 \tabularnewline
78 & 31 & 31.3119398881278 & -0.311939888127828 \tabularnewline
79 & 30 & 28.6698937797323 & 1.33010622026773 \tabularnewline
80 & 34 & 34.0109999670812 & -0.0109999670812058 \tabularnewline
81 & 31 & 30.9074396729599 & 0.0925603270401305 \tabularnewline
82 & 33 & 32.9333463943311 & 0.0666536056689318 \tabularnewline
83 & 25 & 25.0976293348785 & -0.0976293348785303 \tabularnewline
84 & 36 & 35.8763643640111 & 0.123635635988901 \tabularnewline
85 & 0 & 0.518466391586699 & -0.518466391586699 \tabularnewline
86 & 32 & 32.6974142959569 & -0.697414295956901 \tabularnewline
87 & 20 & 21.2661129018384 & -1.26611290183839 \tabularnewline
88 & 28 & 27.4831197698742 & 0.516880230125759 \tabularnewline
89 & 34 & 33.2367896071041 & 0.763210392895926 \tabularnewline
90 & 28 & 31.1751692429267 & -3.17516924292666 \tabularnewline
91 & 4 & 3.69813225121618 & 0.301867748783821 \tabularnewline
92 & 39 & 37.7564663731221 & 1.24353362687794 \tabularnewline
93 & 29 & 28.6431617677326 & 0.356838232267432 \tabularnewline
94 & 44 & 43.195476549901 & 0.804523450098973 \tabularnewline
95 & 21 & 21.7368435359211 & -0.736843535921125 \tabularnewline
96 & 35 & 33.5475126074879 & 1.45248739251206 \tabularnewline
97 & 29 & 29.1834429201525 & -0.183442920152471 \tabularnewline
98 & 25 & 26.3291552150704 & -1.32915521507038 \tabularnewline
99 & 36 & 35.4947566085359 & 0.505243391464097 \tabularnewline
100 & 23 & 23.2528279824239 & -0.252827982423921 \tabularnewline
101 & 34 & 34.0820050030755 & -0.0820050030754919 \tabularnewline
102 & 33 & 32.1935769384208 & 0.806423061579241 \tabularnewline
103 & 38 & 39.3356633374194 & -1.33566333741937 \tabularnewline
104 & 35 & 23.5129018563115 & 11.4870981436885 \tabularnewline
105 & 24 & 23.856519504815 & 0.143480495184982 \tabularnewline
106 & 20 & 20.6298576132632 & -0.629857613263178 \tabularnewline
107 & 29 & 29.2785027486695 & -0.278502748669541 \tabularnewline
108 & 37 & 37.0922405695467 & -0.0922405695467127 \tabularnewline
109 & 25 & 24.6682007989106 & 0.331799201089393 \tabularnewline
110 & 32 & 32.6419722951796 & -0.641972295179589 \tabularnewline
111 & 29 & 29.5292533660227 & -0.52925336602269 \tabularnewline
112 & 28 & 28.2925446571445 & -0.292544657144514 \tabularnewline
113 & 31 & 31.4809036141366 & -0.48090361413658 \tabularnewline
114 & 21 & 21.2316310796621 & -0.231631079662059 \tabularnewline
115 & 33 & 33.5467527151463 & -0.546752715146306 \tabularnewline
116 & 31 & 31.0781488200211 & -0.0781488200211302 \tabularnewline
117 & 18 & 19.4233089918499 & -1.42330899184991 \tabularnewline
118 & 17 & 12.2540632885558 & 4.74593671144418 \tabularnewline
119 & 20 & 21.0372979158726 & -1.03729791587256 \tabularnewline
120 & 12 & 10.8129024397946 & 1.1870975602054 \tabularnewline
121 & 30 & 31.4848344867864 & -1.48483448678642 \tabularnewline
122 & 22 & 23.1100656016074 & -1.11006560160739 \tabularnewline
123 & 42 & 41.3971268861819 & 0.602873113818105 \tabularnewline
124 & 1 & 0.606651016671328 & 0.393348983328672 \tabularnewline
125 & 32 & 32.9621487559687 & -0.962148755968666 \tabularnewline
126 & 36 & 35.9815302841434 & 0.0184697158565785 \tabularnewline
127 & 0 & 0.563883593450448 & -0.563883593450448 \tabularnewline
128 & 24 & 23.8336842609563 & 0.166315739043732 \tabularnewline
129 & 13 & 14.0818698739604 & -1.08186987396044 \tabularnewline
130 & 19 & 20.1873305310703 & -1.18733053107029 \tabularnewline
131 & 33 & 32.7622569680051 & 0.237743031994863 \tabularnewline
132 & 43 & 42.38896381486 & 0.611036185140024 \tabularnewline
133 & 14 & 14.7940069210767 & -0.79400692107665 \tabularnewline
134 & 45 & 44.7215213160509 & 0.278478683949076 \tabularnewline
135 & 31 & 31.4062227635513 & -0.40622276355127 \tabularnewline
136 & 30 & 29.0746016645886 & 0.925398335411391 \tabularnewline
137 & 18 & 19.1961499856165 & -1.19614998561647 \tabularnewline
138 & 31 & 32.0886446449714 & -1.08864464497138 \tabularnewline
139 & 21 & 20.8939573926604 & 0.106042607339614 \tabularnewline
140 & 18 & 18.9378050206211 & -0.937805020621083 \tabularnewline
141 & 7 & 7.95176126356938 & -0.951761263569382 \tabularnewline
142 & 30 & 29.4043398200682 & 0.595660179931811 \tabularnewline
143 & 37 & 39.6232284903346 & -2.62322849033463 \tabularnewline
144 & 32 & 29.9351582216479 & 2.06484177835207 \tabularnewline
145 & 22 & 23.1569013684653 & -1.15690136846534 \tabularnewline
146 & 19 & 19.9717839985474 & -0.971783998547422 \tabularnewline
147 & 13 & 13.6119262150832 & -0.611926215083187 \tabularnewline
148 & 15 & 15.674696186077 & -0.674696186077007 \tabularnewline
149 & 16 & 16.3430716720017 & -0.343071672001661 \tabularnewline
150 & 18 & 17.9879510940859 & 0.0120489059140767 \tabularnewline
151 & 13 & 13.1383795628118 & -0.1383795628118 \tabularnewline
152 & 16 & 16.7493010275724 & -0.749301027572427 \tabularnewline
153 & 20 & 20.0329519337638 & -0.0329519337637752 \tabularnewline
154 & 22 & 23.0983279704306 & -1.09832797043057 \tabularnewline
155 & 17 & 18.1786531354501 & -1.17865313545005 \tabularnewline
156 & 17 & 18.0231996087794 & -1.02319960877937 \tabularnewline
157 & 23 & 23.6334370342598 & -0.63343703425983 \tabularnewline
158 & 14 & 14.6676776993691 & -0.667677699369087 \tabularnewline
159 & 21 & 20.7578628830065 & 0.242137116993484 \tabularnewline
160 & 18 & 18.2377853075373 & -0.237785307537331 \tabularnewline
161 & 18 & 19.2828327673399 & -1.28283276733994 \tabularnewline
162 & 17 & 17.3192219050123 & -0.319221905012263 \tabularnewline
163 & 15 & 16.0757743474705 & -1.07577434747054 \tabularnewline
164 & 21 & 22.1364995915953 & -1.13649959159528 \tabularnewline
165 & 15 & 15.7167572908831 & -0.716757290883056 \tabularnewline
166 & 22 & 21.9949804300755 & 0.0050195699244691 \tabularnewline
167 & 21 & 21.5041829309638 & -0.504182930963768 \tabularnewline
168 & 10 & 8.86260570814122 & 1.13739429185878 \tabularnewline
169 & 16 & 16.7944771522632 & -0.794477152263173 \tabularnewline
170 & 2 & 2.67600943329387 & -0.676009433293868 \tabularnewline
171 & 16 & 16.1299759590358 & -0.129975959035785 \tabularnewline
172 & 16 & 17.2722051916224 & -1.27220519162244 \tabularnewline
173 & 30 & 30.7552371962122 & -0.755237196212232 \tabularnewline
174 & 22 & 18.3777545480043 & 3.62224545199573 \tabularnewline
175 & 26 & 26.5602593289987 & -0.560259328998728 \tabularnewline
176 & 18 & 18.2505277855012 & -0.250527785501192 \tabularnewline
177 & 11 & 11.9589916969902 & -0.958991696990211 \tabularnewline
178 & 44 & 43.2915014150752 & 0.708498584924803 \tabularnewline
179 & 40 & 36.6992346825876 & 3.30076531741245 \tabularnewline
180 & 34 & 34.9372787044052 & -0.937278704405174 \tabularnewline
181 & 36 & 36.4611257069946 & -0.46112570699458 \tabularnewline
182 & 39 & 40.3508055105367 & -1.35080551053675 \tabularnewline
183 & 33 & 33.3879519989683 & -0.387951998968327 \tabularnewline
184 & 43 & 43.1328096764797 & -0.132809676479671 \tabularnewline
185 & 30 & 29.3131197588413 & 0.686880241158722 \tabularnewline
186 & 13 & 14.1484169596809 & -1.14841695968091 \tabularnewline
187 & 32 & 32.1982864026199 & -0.198286402619942 \tabularnewline
188 & 28 & 28.9534246061438 & -0.953424606143797 \tabularnewline
189 & 30 & 30.8313574050767 & -0.831357405076732 \tabularnewline
190 & 39 & 16.2374747860989 & 22.7625252139011 \tabularnewline
191 & 26 & 21.6512998516112 & 4.34870014838875 \tabularnewline
192 & 39 & 39.3197750272252 & -0.319775027225167 \tabularnewline
193 & 33 & 32.0211321188836 & 0.97886788111642 \tabularnewline
194 & 18 & 17.6740740014731 & 0.325925998526894 \tabularnewline
195 & 14 & 14.1109453611172 & -0.110945361117234 \tabularnewline
196 & 28 & 28.3654801293393 & -0.365480129339294 \tabularnewline
197 & 28 & 28.2880114968695 & -0.288011496869506 \tabularnewline
198 & 38 & 38.7109751041729 & -0.710975104172849 \tabularnewline
199 & 36 & 37.8080416080161 & -1.8080416080161 \tabularnewline
200 & 32 & 32.2350720890584 & -0.235072089058427 \tabularnewline
201 & 23 & 22.8666392858534 & 0.13336071414661 \tabularnewline
202 & 40 & 40.4814942071916 & -0.481494207191557 \tabularnewline
203 & 40 & 40.2066545523416 & -0.206654552341621 \tabularnewline
204 & 33 & 33.7179414388195 & -0.71794143881947 \tabularnewline
205 & 30 & 30.5358459924524 & -0.535845992452363 \tabularnewline
206 & 22 & 22.6439105975518 & -0.64391059755181 \tabularnewline
207 & 26 & 25.7946368614 & 0.205363138599996 \tabularnewline
208 & 8 & 7.9491948971527 & 0.0508051028472974 \tabularnewline
209 & 45 & 42.2378895644472 & 2.76211043555277 \tabularnewline
210 & 33 & 32.866061015773 & 0.133938984226997 \tabularnewline
211 & 28 & 26.1133777448003 & 1.88662225519968 \tabularnewline
212 & 19 & 18.6181332352636 & 0.381866764736397 \tabularnewline
213 & 20 & 20.8275804429119 & -0.827580442911865 \tabularnewline
214 & 31 & 31.8192670443432 & -0.81926704434319 \tabularnewline
215 & 32 & 33.1744742912324 & -1.17447429123239 \tabularnewline
216 & 17 & 18.0605340114979 & -1.06053401149788 \tabularnewline
217 & 31 & 30.637281032967 & 0.362718967032987 \tabularnewline
218 & 10 & 10.6072302979872 & -0.607230297987153 \tabularnewline
219 & 9 & 9.79584207887456 & -0.795842078874565 \tabularnewline
220 & 11 & 8.80981890831852 & 2.19018109168148 \tabularnewline
221 & 18 & 18.9609285669961 & -0.960928566996128 \tabularnewline
222 & 40 & 39.3041927828555 & 0.695807217144514 \tabularnewline
223 & 22 & 19.0468566130977 & 2.9531433869023 \tabularnewline
224 & 8 & 7.55066625002777 & 0.449333749972229 \tabularnewline
225 & 35 & 34.0638024658081 & 0.936197534191918 \tabularnewline
226 & 43 & 42.9929190759329 & 0.00708092406711823 \tabularnewline
227 & 38 & 39.0470414190653 & -1.0470414190653 \tabularnewline
228 & 13 & 13.3097642504932 & -0.309764250493209 \tabularnewline
229 & 28 & 27.4376676911052 & 0.56233230889481 \tabularnewline
230 & 40 & 39.4779634565968 & 0.52203654340317 \tabularnewline
231 & 32 & 30.5176823359143 & 1.48231766408574 \tabularnewline
232 & 27 & 29.0788098485814 & -2.07880984858141 \tabularnewline
233 & 41 & 40.7035179045144 & 0.296482095485587 \tabularnewline
234 & 13 & 13.891179833789 & -0.891179833788977 \tabularnewline
235 & 32 & 31.1920586792264 & 0.80794132077361 \tabularnewline
236 & 0 & 0.552056351725605 & -0.552056351725605 \tabularnewline
237 & 0 & 0.552867908673155 & -0.552867908673155 \tabularnewline
238 & 5 & 4.45674748996798 & 0.54325251003202 \tabularnewline
239 & 1 & 1.54263910899361 & -0.542639108993608 \tabularnewline
240 & 16 & 17.1447109683554 & -1.14471096835535 \tabularnewline
241 & 24 & 23.1024706756466 & 0.897529324353421 \tabularnewline
242 & 11 & 11.0587815608245 & -0.0587815608245133 \tabularnewline
243 & 17 & 18.0795186336786 & -1.07951863367864 \tabularnewline
244 & 16 & 16.3211727785965 & -0.321172778596499 \tabularnewline
245 & 24 & 20.3656240556295 & 3.63437594437048 \tabularnewline
246 & 18 & 18.9474154806175 & -0.947415480617462 \tabularnewline
247 & 20 & 20.4446998162002 & -0.444699816200167 \tabularnewline
248 & 16 & 16.5657344262262 & -0.565734426226205 \tabularnewline
249 & 22 & 23.0922253156685 & -1.0922253156685 \tabularnewline
250 & 8 & 8.45943534516318 & -0.459435345163184 \tabularnewline
251 & 18 & 18.142489401411 & -0.142489401411015 \tabularnewline
252 & 13 & 13.9788358388839 & -0.97883583888393 \tabularnewline
253 & 16 & 16.1283947067815 & -0.128394706781461 \tabularnewline
254 & 18 & 18.8448202959707 & -0.844820295970723 \tabularnewline
255 & 7 & 7.44918816458914 & -0.449188164589142 \tabularnewline
256 & 14 & 11.3028845051774 & 2.69711549482262 \tabularnewline
257 & 15 & 15.8338668359145 & -0.833866835914459 \tabularnewline
258 & 17 & 16.2018763875347 & 0.798123612465257 \tabularnewline
259 & 17 & 18.5664429121389 & -1.56644291213894 \tabularnewline
260 & 16 & 16.8585642803798 & -0.858564280379805 \tabularnewline
261 & 16 & 17.232721607639 & -1.23272160763895 \tabularnewline
262 & 15 & 14.4470254682666 & 0.552974531733387 \tabularnewline
263 & 17 & 18.0888596859995 & -1.08885968599948 \tabularnewline
264 & 10 & 10.9105726069444 & -0.9105726069444 \tabularnewline
265 & 6 & 6.46709421002509 & -0.467094210025088 \tabularnewline
266 & 1 & 1.14497521205902 & -0.144975212059016 \tabularnewline
267 & 16 & 15.6317269036167 & 0.368273096383276 \tabularnewline
268 & 9 & 10.0222730552439 & -1.02227305524387 \tabularnewline
269 & 16 & 16.1788945546463 & -0.178894554646343 \tabularnewline
270 & 17 & 17.9565201501643 & -0.956520150164327 \tabularnewline
271 & 7 & 6.00673170072143 & 0.993268299278574 \tabularnewline
272 & 15 & 15.0751935665326 & -0.0751935665325974 \tabularnewline
273 & 14 & 14.2474276578657 & -0.247427657865658 \tabularnewline
274 & 14 & 15.0420942370865 & -1.04209423708647 \tabularnewline
275 & 19 & 20.4383874772404 & -1.43838747724043 \tabularnewline
276 & 16 & 16.8689146428469 & -0.868914642846923 \tabularnewline
277 & 1 & 1.3738219844525 & -0.373821984452502 \tabularnewline
278 & 16 & 16.9599179158459 & -0.95991791584591 \tabularnewline
279 & 10 & 11.0698057304042 & -1.06980573040423 \tabularnewline
280 & 19 & 18.7104891487656 & 0.289510851234438 \tabularnewline
281 & 12 & 12.9784514609948 & -0.978451460994812 \tabularnewline
282 & 14 & 13.9679936379452 & 0.0320063620547714 \tabularnewline
283 & 19 & 20.0499117148154 & -1.04991171481537 \tabularnewline
284 & 14 & 11.7736526606162 & 2.22634733938379 \tabularnewline
285 & 11 & 10.9154255023362 & 0.0845744976638473 \tabularnewline
286 & 4 & 4.26805346373388 & -0.268053463733876 \tabularnewline
287 & 20 & 19.1500377314721 & 0.849962268527854 \tabularnewline
288 & 12 & 11.9072328769313 & 0.0927671230687298 \tabularnewline
289 & 15 & 16.0021405910025 & -1.00214059100251 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153487&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]30[/C][C]30.5708758749549[/C][C]-0.570875874954911[/C][/ROW]
[ROW][C]2[/C][C]28[/C][C]28.5111376338764[/C][C]-0.511137633876425[/C][/ROW]
[ROW][C]3[/C][C]25[/C][C]26.0271157488717[/C][C]-1.02711574887165[/C][/ROW]
[ROW][C]4[/C][C]26[/C][C]26.2474591351406[/C][C]-0.247459135140635[/C][/ROW]
[ROW][C]5[/C][C]30[/C][C]30.5959448681125[/C][C]-0.595944868112521[/C][/ROW]
[ROW][C]6[/C][C]23[/C][C]23.6811631095353[/C][C]-0.681163109535305[/C][/ROW]
[ROW][C]7[/C][C]36[/C][C]35.6548143648554[/C][C]0.345185635144615[/C][/ROW]
[ROW][C]8[/C][C]25[/C][C]23.4897539641783[/C][C]1.51024603582169[/C][/ROW]
[ROW][C]9[/C][C]31[/C][C]31.4180194147722[/C][C]-0.418019414772234[/C][/ROW]
[ROW][C]10[/C][C]35[/C][C]35.3112670723758[/C][C]-0.311267072375839[/C][/ROW]
[ROW][C]11[/C][C]42[/C][C]40.3283691880105[/C][C]1.67163081198947[/C][/ROW]
[ROW][C]12[/C][C]33[/C][C]33.5395069469051[/C][C]-0.539506946905068[/C][/ROW]
[ROW][C]13[/C][C]14[/C][C]12.5905493406547[/C][C]1.40945065934532[/C][/ROW]
[ROW][C]14[/C][C]17[/C][C]14.7579477313921[/C][C]2.2420522686079[/C][/ROW]
[ROW][C]15[/C][C]35[/C][C]33.8349037103716[/C][C]1.1650962896284[/C][/ROW]
[ROW][C]16[/C][C]28[/C][C]25.5793935021352[/C][C]2.42060649786476[/C][/ROW]
[ROW][C]17[/C][C]39[/C][C]38.9317720602778[/C][C]0.0682279397221915[/C][/ROW]
[ROW][C]18[/C][C]16[/C][C]16.1106742190617[/C][C]-0.11067421906174[/C][/ROW]
[ROW][C]19[/C][C]23[/C][C]22.9755467573968[/C][C]0.024453242603238[/C][/ROW]
[ROW][C]20[/C][C]27[/C][C]27.4976938577191[/C][C]-0.497693857719122[/C][/ROW]
[ROW][C]21[/C][C]28[/C][C]28.595630964726[/C][C]-0.595630964725977[/C][/ROW]
[ROW][C]22[/C][C]28[/C][C]27.8846094525382[/C][C]0.115390547461763[/C][/ROW]
[ROW][C]23[/C][C]34[/C][C]34.6752396583493[/C][C]-0.675239658349256[/C][/ROW]
[ROW][C]24[/C][C]28[/C][C]28.5777804303423[/C][C]-0.57778043034228[/C][/ROW]
[ROW][C]25[/C][C]29[/C][C]28.4978916518172[/C][C]0.50210834818284[/C][/ROW]
[ROW][C]26[/C][C]33[/C][C]32.7169951322974[/C][C]0.283004867702643[/C][/ROW]
[ROW][C]27[/C][C]52[/C][C]51.569625346065[/C][C]0.430374653934966[/C][/ROW]
[ROW][C]28[/C][C]24[/C][C]24.6952020840188[/C][C]-0.695202084018761[/C][/ROW]
[ROW][C]29[/C][C]41[/C][C]41.4309819105292[/C][C]-0.430981910529177[/C][/ROW]
[ROW][C]30[/C][C]32[/C][C]32.9702129989708[/C][C]-0.970212998970839[/C][/ROW]
[ROW][C]31[/C][C]23[/C][C]24.1028915696403[/C][C]-1.10289156964033[/C][/ROW]
[ROW][C]32[/C][C]13[/C][C]13.5062940263446[/C][C]-0.506294026344613[/C][/ROW]
[ROW][C]33[/C][C]25[/C][C]26.1356372838091[/C][C]-1.1356372838091[/C][/ROW]
[ROW][C]34[/C][C]31[/C][C]31.7161982659501[/C][C]-0.716198265950065[/C][/ROW]
[ROW][C]35[/C][C]13[/C][C]10.6109054335445[/C][C]2.38909456645549[/C][/ROW]
[ROW][C]36[/C][C]8[/C][C]7.23355402542142[/C][C]0.766445974578577[/C][/ROW]
[ROW][C]37[/C][C]38[/C][C]37.7989839396584[/C][C]0.20101606034162[/C][/ROW]
[ROW][C]38[/C][C]24[/C][C]23.0614232423079[/C][C]0.938576757692077[/C][/ROW]
[ROW][C]39[/C][C]41[/C][C]41.9750962548532[/C][C]-0.975096254853228[/C][/ROW]
[ROW][C]40[/C][C]31[/C][C]31.0782947847539[/C][C]-0.0782947847538538[/C][/ROW]
[ROW][C]41[/C][C]16[/C][C]15.7843996301907[/C][C]0.215600369809319[/C][/ROW]
[ROW][C]42[/C][C]37[/C][C]35.8860524307812[/C][C]1.11394756921882[/C][/ROW]
[ROW][C]43[/C][C]30[/C][C]28.3121156994307[/C][C]1.6878843005693[/C][/ROW]
[ROW][C]44[/C][C]35[/C][C]34.2590389159455[/C][C]0.740961084054461[/C][/ROW]
[ROW][C]45[/C][C]20[/C][C]20.2785119758691[/C][C]-0.278511975869071[/C][/ROW]
[ROW][C]46[/C][C]31[/C][C]30.8947273759933[/C][C]0.105272624006693[/C][/ROW]
[ROW][C]47[/C][C]39[/C][C]39.8717925164469[/C][C]-0.871792516446899[/C][/ROW]
[ROW][C]48[/C][C]39[/C][C]37.96726858729[/C][C]1.03273141271[/C][/ROW]
[ROW][C]49[/C][C]14[/C][C]12.8423535648838[/C][C]1.15764643511619[/C][/ROW]
[ROW][C]50[/C][C]17[/C][C]18.3628171885777[/C][C]-1.36281718857765[/C][/ROW]
[ROW][C]51[/C][C]17[/C][C]18.2207967108784[/C][C]-1.22079671087844[/C][/ROW]
[ROW][C]52[/C][C]24[/C][C]20.9733500592593[/C][C]3.02664994074065[/C][/ROW]
[ROW][C]53[/C][C]12[/C][C]13.14348881139[/C][C]-1.14348881138996[/C][/ROW]
[ROW][C]54[/C][C]15[/C][C]16.0162803064519[/C][C]-1.01628030645187[/C][/ROW]
[ROW][C]55[/C][C]17[/C][C]17.9544249291315[/C][C]-0.954424929131502[/C][/ROW]
[ROW][C]56[/C][C]17[/C][C]17.2173866710637[/C][C]-0.21738667106372[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]16.9492330188799[/C][C]-0.949233018879874[/C][/ROW]
[ROW][C]58[/C][C]23[/C][C]24.0407658000672[/C][C]-1.04076580006722[/C][/ROW]
[ROW][C]59[/C][C]22[/C][C]22.8687133035411[/C][C]-0.86871330354106[/C][/ROW]
[ROW][C]60[/C][C]17[/C][C]17.8957865715061[/C][C]-0.895786571506119[/C][/ROW]
[ROW][C]61[/C][C]12[/C][C]13.3842138524188[/C][C]-1.38421385241876[/C][/ROW]
[ROW][C]62[/C][C]17[/C][C]17.5025917346056[/C][C]-0.502591734605609[/C][/ROW]
[ROW][C]63[/C][C]14[/C][C]14.979653837089[/C][C]-0.979653837088994[/C][/ROW]
[ROW][C]64[/C][C]15[/C][C]15.75677891739[/C][C]-0.756778917390011[/C][/ROW]
[ROW][C]65[/C][C]18[/C][C]19.0250989319987[/C][C]-1.02509893199872[/C][/ROW]
[ROW][C]66[/C][C]17[/C][C]16.2249215083541[/C][C]0.775078491645856[/C][/ROW]
[ROW][C]67[/C][C]4[/C][C]4.5770579100719[/C][C]-0.577057910071895[/C][/ROW]
[ROW][C]68[/C][C]18[/C][C]19.1388624090143[/C][C]-1.13886240901432[/C][/ROW]
[ROW][C]69[/C][C]12[/C][C]11.377941902289[/C][C]0.62205809771103[/C][/ROW]
[ROW][C]70[/C][C]16[/C][C]16.2651059728381[/C][C]-0.265105972838122[/C][/ROW]
[ROW][C]71[/C][C]21[/C][C]18.1219766370219[/C][C]2.87802336297808[/C][/ROW]
[ROW][C]72[/C][C]17[/C][C]17.3822080274074[/C][C]-0.382208027407422[/C][/ROW]
[ROW][C]73[/C][C]38[/C][C]38.8038205075795[/C][C]-0.803820507579544[/C][/ROW]
[ROW][C]74[/C][C]25[/C][C]25.1361434857678[/C][C]-0.136143485767757[/C][/ROW]
[ROW][C]75[/C][C]38[/C][C]36.8202322761484[/C][C]1.1797677238516[/C][/ROW]
[ROW][C]76[/C][C]30[/C][C]26.0091767665259[/C][C]3.99082323347408[/C][/ROW]
[ROW][C]77[/C][C]47[/C][C]47.6006383070908[/C][C]-0.600638307090792[/C][/ROW]
[ROW][C]78[/C][C]31[/C][C]31.3119398881278[/C][C]-0.311939888127828[/C][/ROW]
[ROW][C]79[/C][C]30[/C][C]28.6698937797323[/C][C]1.33010622026773[/C][/ROW]
[ROW][C]80[/C][C]34[/C][C]34.0109999670812[/C][C]-0.0109999670812058[/C][/ROW]
[ROW][C]81[/C][C]31[/C][C]30.9074396729599[/C][C]0.0925603270401305[/C][/ROW]
[ROW][C]82[/C][C]33[/C][C]32.9333463943311[/C][C]0.0666536056689318[/C][/ROW]
[ROW][C]83[/C][C]25[/C][C]25.0976293348785[/C][C]-0.0976293348785303[/C][/ROW]
[ROW][C]84[/C][C]36[/C][C]35.8763643640111[/C][C]0.123635635988901[/C][/ROW]
[ROW][C]85[/C][C]0[/C][C]0.518466391586699[/C][C]-0.518466391586699[/C][/ROW]
[ROW][C]86[/C][C]32[/C][C]32.6974142959569[/C][C]-0.697414295956901[/C][/ROW]
[ROW][C]87[/C][C]20[/C][C]21.2661129018384[/C][C]-1.26611290183839[/C][/ROW]
[ROW][C]88[/C][C]28[/C][C]27.4831197698742[/C][C]0.516880230125759[/C][/ROW]
[ROW][C]89[/C][C]34[/C][C]33.2367896071041[/C][C]0.763210392895926[/C][/ROW]
[ROW][C]90[/C][C]28[/C][C]31.1751692429267[/C][C]-3.17516924292666[/C][/ROW]
[ROW][C]91[/C][C]4[/C][C]3.69813225121618[/C][C]0.301867748783821[/C][/ROW]
[ROW][C]92[/C][C]39[/C][C]37.7564663731221[/C][C]1.24353362687794[/C][/ROW]
[ROW][C]93[/C][C]29[/C][C]28.6431617677326[/C][C]0.356838232267432[/C][/ROW]
[ROW][C]94[/C][C]44[/C][C]43.195476549901[/C][C]0.804523450098973[/C][/ROW]
[ROW][C]95[/C][C]21[/C][C]21.7368435359211[/C][C]-0.736843535921125[/C][/ROW]
[ROW][C]96[/C][C]35[/C][C]33.5475126074879[/C][C]1.45248739251206[/C][/ROW]
[ROW][C]97[/C][C]29[/C][C]29.1834429201525[/C][C]-0.183442920152471[/C][/ROW]
[ROW][C]98[/C][C]25[/C][C]26.3291552150704[/C][C]-1.32915521507038[/C][/ROW]
[ROW][C]99[/C][C]36[/C][C]35.4947566085359[/C][C]0.505243391464097[/C][/ROW]
[ROW][C]100[/C][C]23[/C][C]23.2528279824239[/C][C]-0.252827982423921[/C][/ROW]
[ROW][C]101[/C][C]34[/C][C]34.0820050030755[/C][C]-0.0820050030754919[/C][/ROW]
[ROW][C]102[/C][C]33[/C][C]32.1935769384208[/C][C]0.806423061579241[/C][/ROW]
[ROW][C]103[/C][C]38[/C][C]39.3356633374194[/C][C]-1.33566333741937[/C][/ROW]
[ROW][C]104[/C][C]35[/C][C]23.5129018563115[/C][C]11.4870981436885[/C][/ROW]
[ROW][C]105[/C][C]24[/C][C]23.856519504815[/C][C]0.143480495184982[/C][/ROW]
[ROW][C]106[/C][C]20[/C][C]20.6298576132632[/C][C]-0.629857613263178[/C][/ROW]
[ROW][C]107[/C][C]29[/C][C]29.2785027486695[/C][C]-0.278502748669541[/C][/ROW]
[ROW][C]108[/C][C]37[/C][C]37.0922405695467[/C][C]-0.0922405695467127[/C][/ROW]
[ROW][C]109[/C][C]25[/C][C]24.6682007989106[/C][C]0.331799201089393[/C][/ROW]
[ROW][C]110[/C][C]32[/C][C]32.6419722951796[/C][C]-0.641972295179589[/C][/ROW]
[ROW][C]111[/C][C]29[/C][C]29.5292533660227[/C][C]-0.52925336602269[/C][/ROW]
[ROW][C]112[/C][C]28[/C][C]28.2925446571445[/C][C]-0.292544657144514[/C][/ROW]
[ROW][C]113[/C][C]31[/C][C]31.4809036141366[/C][C]-0.48090361413658[/C][/ROW]
[ROW][C]114[/C][C]21[/C][C]21.2316310796621[/C][C]-0.231631079662059[/C][/ROW]
[ROW][C]115[/C][C]33[/C][C]33.5467527151463[/C][C]-0.546752715146306[/C][/ROW]
[ROW][C]116[/C][C]31[/C][C]31.0781488200211[/C][C]-0.0781488200211302[/C][/ROW]
[ROW][C]117[/C][C]18[/C][C]19.4233089918499[/C][C]-1.42330899184991[/C][/ROW]
[ROW][C]118[/C][C]17[/C][C]12.2540632885558[/C][C]4.74593671144418[/C][/ROW]
[ROW][C]119[/C][C]20[/C][C]21.0372979158726[/C][C]-1.03729791587256[/C][/ROW]
[ROW][C]120[/C][C]12[/C][C]10.8129024397946[/C][C]1.1870975602054[/C][/ROW]
[ROW][C]121[/C][C]30[/C][C]31.4848344867864[/C][C]-1.48483448678642[/C][/ROW]
[ROW][C]122[/C][C]22[/C][C]23.1100656016074[/C][C]-1.11006560160739[/C][/ROW]
[ROW][C]123[/C][C]42[/C][C]41.3971268861819[/C][C]0.602873113818105[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]0.606651016671328[/C][C]0.393348983328672[/C][/ROW]
[ROW][C]125[/C][C]32[/C][C]32.9621487559687[/C][C]-0.962148755968666[/C][/ROW]
[ROW][C]126[/C][C]36[/C][C]35.9815302841434[/C][C]0.0184697158565785[/C][/ROW]
[ROW][C]127[/C][C]0[/C][C]0.563883593450448[/C][C]-0.563883593450448[/C][/ROW]
[ROW][C]128[/C][C]24[/C][C]23.8336842609563[/C][C]0.166315739043732[/C][/ROW]
[ROW][C]129[/C][C]13[/C][C]14.0818698739604[/C][C]-1.08186987396044[/C][/ROW]
[ROW][C]130[/C][C]19[/C][C]20.1873305310703[/C][C]-1.18733053107029[/C][/ROW]
[ROW][C]131[/C][C]33[/C][C]32.7622569680051[/C][C]0.237743031994863[/C][/ROW]
[ROW][C]132[/C][C]43[/C][C]42.38896381486[/C][C]0.611036185140024[/C][/ROW]
[ROW][C]133[/C][C]14[/C][C]14.7940069210767[/C][C]-0.79400692107665[/C][/ROW]
[ROW][C]134[/C][C]45[/C][C]44.7215213160509[/C][C]0.278478683949076[/C][/ROW]
[ROW][C]135[/C][C]31[/C][C]31.4062227635513[/C][C]-0.40622276355127[/C][/ROW]
[ROW][C]136[/C][C]30[/C][C]29.0746016645886[/C][C]0.925398335411391[/C][/ROW]
[ROW][C]137[/C][C]18[/C][C]19.1961499856165[/C][C]-1.19614998561647[/C][/ROW]
[ROW][C]138[/C][C]31[/C][C]32.0886446449714[/C][C]-1.08864464497138[/C][/ROW]
[ROW][C]139[/C][C]21[/C][C]20.8939573926604[/C][C]0.106042607339614[/C][/ROW]
[ROW][C]140[/C][C]18[/C][C]18.9378050206211[/C][C]-0.937805020621083[/C][/ROW]
[ROW][C]141[/C][C]7[/C][C]7.95176126356938[/C][C]-0.951761263569382[/C][/ROW]
[ROW][C]142[/C][C]30[/C][C]29.4043398200682[/C][C]0.595660179931811[/C][/ROW]
[ROW][C]143[/C][C]37[/C][C]39.6232284903346[/C][C]-2.62322849033463[/C][/ROW]
[ROW][C]144[/C][C]32[/C][C]29.9351582216479[/C][C]2.06484177835207[/C][/ROW]
[ROW][C]145[/C][C]22[/C][C]23.1569013684653[/C][C]-1.15690136846534[/C][/ROW]
[ROW][C]146[/C][C]19[/C][C]19.9717839985474[/C][C]-0.971783998547422[/C][/ROW]
[ROW][C]147[/C][C]13[/C][C]13.6119262150832[/C][C]-0.611926215083187[/C][/ROW]
[ROW][C]148[/C][C]15[/C][C]15.674696186077[/C][C]-0.674696186077007[/C][/ROW]
[ROW][C]149[/C][C]16[/C][C]16.3430716720017[/C][C]-0.343071672001661[/C][/ROW]
[ROW][C]150[/C][C]18[/C][C]17.9879510940859[/C][C]0.0120489059140767[/C][/ROW]
[ROW][C]151[/C][C]13[/C][C]13.1383795628118[/C][C]-0.1383795628118[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]16.7493010275724[/C][C]-0.749301027572427[/C][/ROW]
[ROW][C]153[/C][C]20[/C][C]20.0329519337638[/C][C]-0.0329519337637752[/C][/ROW]
[ROW][C]154[/C][C]22[/C][C]23.0983279704306[/C][C]-1.09832797043057[/C][/ROW]
[ROW][C]155[/C][C]17[/C][C]18.1786531354501[/C][C]-1.17865313545005[/C][/ROW]
[ROW][C]156[/C][C]17[/C][C]18.0231996087794[/C][C]-1.02319960877937[/C][/ROW]
[ROW][C]157[/C][C]23[/C][C]23.6334370342598[/C][C]-0.63343703425983[/C][/ROW]
[ROW][C]158[/C][C]14[/C][C]14.6676776993691[/C][C]-0.667677699369087[/C][/ROW]
[ROW][C]159[/C][C]21[/C][C]20.7578628830065[/C][C]0.242137116993484[/C][/ROW]
[ROW][C]160[/C][C]18[/C][C]18.2377853075373[/C][C]-0.237785307537331[/C][/ROW]
[ROW][C]161[/C][C]18[/C][C]19.2828327673399[/C][C]-1.28283276733994[/C][/ROW]
[ROW][C]162[/C][C]17[/C][C]17.3192219050123[/C][C]-0.319221905012263[/C][/ROW]
[ROW][C]163[/C][C]15[/C][C]16.0757743474705[/C][C]-1.07577434747054[/C][/ROW]
[ROW][C]164[/C][C]21[/C][C]22.1364995915953[/C][C]-1.13649959159528[/C][/ROW]
[ROW][C]165[/C][C]15[/C][C]15.7167572908831[/C][C]-0.716757290883056[/C][/ROW]
[ROW][C]166[/C][C]22[/C][C]21.9949804300755[/C][C]0.0050195699244691[/C][/ROW]
[ROW][C]167[/C][C]21[/C][C]21.5041829309638[/C][C]-0.504182930963768[/C][/ROW]
[ROW][C]168[/C][C]10[/C][C]8.86260570814122[/C][C]1.13739429185878[/C][/ROW]
[ROW][C]169[/C][C]16[/C][C]16.7944771522632[/C][C]-0.794477152263173[/C][/ROW]
[ROW][C]170[/C][C]2[/C][C]2.67600943329387[/C][C]-0.676009433293868[/C][/ROW]
[ROW][C]171[/C][C]16[/C][C]16.1299759590358[/C][C]-0.129975959035785[/C][/ROW]
[ROW][C]172[/C][C]16[/C][C]17.2722051916224[/C][C]-1.27220519162244[/C][/ROW]
[ROW][C]173[/C][C]30[/C][C]30.7552371962122[/C][C]-0.755237196212232[/C][/ROW]
[ROW][C]174[/C][C]22[/C][C]18.3777545480043[/C][C]3.62224545199573[/C][/ROW]
[ROW][C]175[/C][C]26[/C][C]26.5602593289987[/C][C]-0.560259328998728[/C][/ROW]
[ROW][C]176[/C][C]18[/C][C]18.2505277855012[/C][C]-0.250527785501192[/C][/ROW]
[ROW][C]177[/C][C]11[/C][C]11.9589916969902[/C][C]-0.958991696990211[/C][/ROW]
[ROW][C]178[/C][C]44[/C][C]43.2915014150752[/C][C]0.708498584924803[/C][/ROW]
[ROW][C]179[/C][C]40[/C][C]36.6992346825876[/C][C]3.30076531741245[/C][/ROW]
[ROW][C]180[/C][C]34[/C][C]34.9372787044052[/C][C]-0.937278704405174[/C][/ROW]
[ROW][C]181[/C][C]36[/C][C]36.4611257069946[/C][C]-0.46112570699458[/C][/ROW]
[ROW][C]182[/C][C]39[/C][C]40.3508055105367[/C][C]-1.35080551053675[/C][/ROW]
[ROW][C]183[/C][C]33[/C][C]33.3879519989683[/C][C]-0.387951998968327[/C][/ROW]
[ROW][C]184[/C][C]43[/C][C]43.1328096764797[/C][C]-0.132809676479671[/C][/ROW]
[ROW][C]185[/C][C]30[/C][C]29.3131197588413[/C][C]0.686880241158722[/C][/ROW]
[ROW][C]186[/C][C]13[/C][C]14.1484169596809[/C][C]-1.14841695968091[/C][/ROW]
[ROW][C]187[/C][C]32[/C][C]32.1982864026199[/C][C]-0.198286402619942[/C][/ROW]
[ROW][C]188[/C][C]28[/C][C]28.9534246061438[/C][C]-0.953424606143797[/C][/ROW]
[ROW][C]189[/C][C]30[/C][C]30.8313574050767[/C][C]-0.831357405076732[/C][/ROW]
[ROW][C]190[/C][C]39[/C][C]16.2374747860989[/C][C]22.7625252139011[/C][/ROW]
[ROW][C]191[/C][C]26[/C][C]21.6512998516112[/C][C]4.34870014838875[/C][/ROW]
[ROW][C]192[/C][C]39[/C][C]39.3197750272252[/C][C]-0.319775027225167[/C][/ROW]
[ROW][C]193[/C][C]33[/C][C]32.0211321188836[/C][C]0.97886788111642[/C][/ROW]
[ROW][C]194[/C][C]18[/C][C]17.6740740014731[/C][C]0.325925998526894[/C][/ROW]
[ROW][C]195[/C][C]14[/C][C]14.1109453611172[/C][C]-0.110945361117234[/C][/ROW]
[ROW][C]196[/C][C]28[/C][C]28.3654801293393[/C][C]-0.365480129339294[/C][/ROW]
[ROW][C]197[/C][C]28[/C][C]28.2880114968695[/C][C]-0.288011496869506[/C][/ROW]
[ROW][C]198[/C][C]38[/C][C]38.7109751041729[/C][C]-0.710975104172849[/C][/ROW]
[ROW][C]199[/C][C]36[/C][C]37.8080416080161[/C][C]-1.8080416080161[/C][/ROW]
[ROW][C]200[/C][C]32[/C][C]32.2350720890584[/C][C]-0.235072089058427[/C][/ROW]
[ROW][C]201[/C][C]23[/C][C]22.8666392858534[/C][C]0.13336071414661[/C][/ROW]
[ROW][C]202[/C][C]40[/C][C]40.4814942071916[/C][C]-0.481494207191557[/C][/ROW]
[ROW][C]203[/C][C]40[/C][C]40.2066545523416[/C][C]-0.206654552341621[/C][/ROW]
[ROW][C]204[/C][C]33[/C][C]33.7179414388195[/C][C]-0.71794143881947[/C][/ROW]
[ROW][C]205[/C][C]30[/C][C]30.5358459924524[/C][C]-0.535845992452363[/C][/ROW]
[ROW][C]206[/C][C]22[/C][C]22.6439105975518[/C][C]-0.64391059755181[/C][/ROW]
[ROW][C]207[/C][C]26[/C][C]25.7946368614[/C][C]0.205363138599996[/C][/ROW]
[ROW][C]208[/C][C]8[/C][C]7.9491948971527[/C][C]0.0508051028472974[/C][/ROW]
[ROW][C]209[/C][C]45[/C][C]42.2378895644472[/C][C]2.76211043555277[/C][/ROW]
[ROW][C]210[/C][C]33[/C][C]32.866061015773[/C][C]0.133938984226997[/C][/ROW]
[ROW][C]211[/C][C]28[/C][C]26.1133777448003[/C][C]1.88662225519968[/C][/ROW]
[ROW][C]212[/C][C]19[/C][C]18.6181332352636[/C][C]0.381866764736397[/C][/ROW]
[ROW][C]213[/C][C]20[/C][C]20.8275804429119[/C][C]-0.827580442911865[/C][/ROW]
[ROW][C]214[/C][C]31[/C][C]31.8192670443432[/C][C]-0.81926704434319[/C][/ROW]
[ROW][C]215[/C][C]32[/C][C]33.1744742912324[/C][C]-1.17447429123239[/C][/ROW]
[ROW][C]216[/C][C]17[/C][C]18.0605340114979[/C][C]-1.06053401149788[/C][/ROW]
[ROW][C]217[/C][C]31[/C][C]30.637281032967[/C][C]0.362718967032987[/C][/ROW]
[ROW][C]218[/C][C]10[/C][C]10.6072302979872[/C][C]-0.607230297987153[/C][/ROW]
[ROW][C]219[/C][C]9[/C][C]9.79584207887456[/C][C]-0.795842078874565[/C][/ROW]
[ROW][C]220[/C][C]11[/C][C]8.80981890831852[/C][C]2.19018109168148[/C][/ROW]
[ROW][C]221[/C][C]18[/C][C]18.9609285669961[/C][C]-0.960928566996128[/C][/ROW]
[ROW][C]222[/C][C]40[/C][C]39.3041927828555[/C][C]0.695807217144514[/C][/ROW]
[ROW][C]223[/C][C]22[/C][C]19.0468566130977[/C][C]2.9531433869023[/C][/ROW]
[ROW][C]224[/C][C]8[/C][C]7.55066625002777[/C][C]0.449333749972229[/C][/ROW]
[ROW][C]225[/C][C]35[/C][C]34.0638024658081[/C][C]0.936197534191918[/C][/ROW]
[ROW][C]226[/C][C]43[/C][C]42.9929190759329[/C][C]0.00708092406711823[/C][/ROW]
[ROW][C]227[/C][C]38[/C][C]39.0470414190653[/C][C]-1.0470414190653[/C][/ROW]
[ROW][C]228[/C][C]13[/C][C]13.3097642504932[/C][C]-0.309764250493209[/C][/ROW]
[ROW][C]229[/C][C]28[/C][C]27.4376676911052[/C][C]0.56233230889481[/C][/ROW]
[ROW][C]230[/C][C]40[/C][C]39.4779634565968[/C][C]0.52203654340317[/C][/ROW]
[ROW][C]231[/C][C]32[/C][C]30.5176823359143[/C][C]1.48231766408574[/C][/ROW]
[ROW][C]232[/C][C]27[/C][C]29.0788098485814[/C][C]-2.07880984858141[/C][/ROW]
[ROW][C]233[/C][C]41[/C][C]40.7035179045144[/C][C]0.296482095485587[/C][/ROW]
[ROW][C]234[/C][C]13[/C][C]13.891179833789[/C][C]-0.891179833788977[/C][/ROW]
[ROW][C]235[/C][C]32[/C][C]31.1920586792264[/C][C]0.80794132077361[/C][/ROW]
[ROW][C]236[/C][C]0[/C][C]0.552056351725605[/C][C]-0.552056351725605[/C][/ROW]
[ROW][C]237[/C][C]0[/C][C]0.552867908673155[/C][C]-0.552867908673155[/C][/ROW]
[ROW][C]238[/C][C]5[/C][C]4.45674748996798[/C][C]0.54325251003202[/C][/ROW]
[ROW][C]239[/C][C]1[/C][C]1.54263910899361[/C][C]-0.542639108993608[/C][/ROW]
[ROW][C]240[/C][C]16[/C][C]17.1447109683554[/C][C]-1.14471096835535[/C][/ROW]
[ROW][C]241[/C][C]24[/C][C]23.1024706756466[/C][C]0.897529324353421[/C][/ROW]
[ROW][C]242[/C][C]11[/C][C]11.0587815608245[/C][C]-0.0587815608245133[/C][/ROW]
[ROW][C]243[/C][C]17[/C][C]18.0795186336786[/C][C]-1.07951863367864[/C][/ROW]
[ROW][C]244[/C][C]16[/C][C]16.3211727785965[/C][C]-0.321172778596499[/C][/ROW]
[ROW][C]245[/C][C]24[/C][C]20.3656240556295[/C][C]3.63437594437048[/C][/ROW]
[ROW][C]246[/C][C]18[/C][C]18.9474154806175[/C][C]-0.947415480617462[/C][/ROW]
[ROW][C]247[/C][C]20[/C][C]20.4446998162002[/C][C]-0.444699816200167[/C][/ROW]
[ROW][C]248[/C][C]16[/C][C]16.5657344262262[/C][C]-0.565734426226205[/C][/ROW]
[ROW][C]249[/C][C]22[/C][C]23.0922253156685[/C][C]-1.0922253156685[/C][/ROW]
[ROW][C]250[/C][C]8[/C][C]8.45943534516318[/C][C]-0.459435345163184[/C][/ROW]
[ROW][C]251[/C][C]18[/C][C]18.142489401411[/C][C]-0.142489401411015[/C][/ROW]
[ROW][C]252[/C][C]13[/C][C]13.9788358388839[/C][C]-0.97883583888393[/C][/ROW]
[ROW][C]253[/C][C]16[/C][C]16.1283947067815[/C][C]-0.128394706781461[/C][/ROW]
[ROW][C]254[/C][C]18[/C][C]18.8448202959707[/C][C]-0.844820295970723[/C][/ROW]
[ROW][C]255[/C][C]7[/C][C]7.44918816458914[/C][C]-0.449188164589142[/C][/ROW]
[ROW][C]256[/C][C]14[/C][C]11.3028845051774[/C][C]2.69711549482262[/C][/ROW]
[ROW][C]257[/C][C]15[/C][C]15.8338668359145[/C][C]-0.833866835914459[/C][/ROW]
[ROW][C]258[/C][C]17[/C][C]16.2018763875347[/C][C]0.798123612465257[/C][/ROW]
[ROW][C]259[/C][C]17[/C][C]18.5664429121389[/C][C]-1.56644291213894[/C][/ROW]
[ROW][C]260[/C][C]16[/C][C]16.8585642803798[/C][C]-0.858564280379805[/C][/ROW]
[ROW][C]261[/C][C]16[/C][C]17.232721607639[/C][C]-1.23272160763895[/C][/ROW]
[ROW][C]262[/C][C]15[/C][C]14.4470254682666[/C][C]0.552974531733387[/C][/ROW]
[ROW][C]263[/C][C]17[/C][C]18.0888596859995[/C][C]-1.08885968599948[/C][/ROW]
[ROW][C]264[/C][C]10[/C][C]10.9105726069444[/C][C]-0.9105726069444[/C][/ROW]
[ROW][C]265[/C][C]6[/C][C]6.46709421002509[/C][C]-0.467094210025088[/C][/ROW]
[ROW][C]266[/C][C]1[/C][C]1.14497521205902[/C][C]-0.144975212059016[/C][/ROW]
[ROW][C]267[/C][C]16[/C][C]15.6317269036167[/C][C]0.368273096383276[/C][/ROW]
[ROW][C]268[/C][C]9[/C][C]10.0222730552439[/C][C]-1.02227305524387[/C][/ROW]
[ROW][C]269[/C][C]16[/C][C]16.1788945546463[/C][C]-0.178894554646343[/C][/ROW]
[ROW][C]270[/C][C]17[/C][C]17.9565201501643[/C][C]-0.956520150164327[/C][/ROW]
[ROW][C]271[/C][C]7[/C][C]6.00673170072143[/C][C]0.993268299278574[/C][/ROW]
[ROW][C]272[/C][C]15[/C][C]15.0751935665326[/C][C]-0.0751935665325974[/C][/ROW]
[ROW][C]273[/C][C]14[/C][C]14.2474276578657[/C][C]-0.247427657865658[/C][/ROW]
[ROW][C]274[/C][C]14[/C][C]15.0420942370865[/C][C]-1.04209423708647[/C][/ROW]
[ROW][C]275[/C][C]19[/C][C]20.4383874772404[/C][C]-1.43838747724043[/C][/ROW]
[ROW][C]276[/C][C]16[/C][C]16.8689146428469[/C][C]-0.868914642846923[/C][/ROW]
[ROW][C]277[/C][C]1[/C][C]1.3738219844525[/C][C]-0.373821984452502[/C][/ROW]
[ROW][C]278[/C][C]16[/C][C]16.9599179158459[/C][C]-0.95991791584591[/C][/ROW]
[ROW][C]279[/C][C]10[/C][C]11.0698057304042[/C][C]-1.06980573040423[/C][/ROW]
[ROW][C]280[/C][C]19[/C][C]18.7104891487656[/C][C]0.289510851234438[/C][/ROW]
[ROW][C]281[/C][C]12[/C][C]12.9784514609948[/C][C]-0.978451460994812[/C][/ROW]
[ROW][C]282[/C][C]14[/C][C]13.9679936379452[/C][C]0.0320063620547714[/C][/ROW]
[ROW][C]283[/C][C]19[/C][C]20.0499117148154[/C][C]-1.04991171481537[/C][/ROW]
[ROW][C]284[/C][C]14[/C][C]11.7736526606162[/C][C]2.22634733938379[/C][/ROW]
[ROW][C]285[/C][C]11[/C][C]10.9154255023362[/C][C]0.0845744976638473[/C][/ROW]
[ROW][C]286[/C][C]4[/C][C]4.26805346373388[/C][C]-0.268053463733876[/C][/ROW]
[ROW][C]287[/C][C]20[/C][C]19.1500377314721[/C][C]0.849962268527854[/C][/ROW]
[ROW][C]288[/C][C]12[/C][C]11.9072328769313[/C][C]0.0927671230687298[/C][/ROW]
[ROW][C]289[/C][C]15[/C][C]16.0021405910025[/C][C]-1.00214059100251[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153487&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153487&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
13030.5708758749549-0.570875874954911
22828.5111376338764-0.511137633876425
32526.0271157488717-1.02711574887165
42626.2474591351406-0.247459135140635
53030.5959448681125-0.595944868112521
62323.6811631095353-0.681163109535305
73635.65481436485540.345185635144615
82523.48975396417831.51024603582169
93131.4180194147722-0.418019414772234
103535.3112670723758-0.311267072375839
114240.32836918801051.67163081198947
123333.5395069469051-0.539506946905068
131412.59054934065471.40945065934532
141714.75794773139212.2420522686079
153533.83490371037161.1650962896284
162825.57939350213522.42060649786476
173938.93177206027780.0682279397221915
181616.1106742190617-0.11067421906174
192322.97554675739680.024453242603238
202727.4976938577191-0.497693857719122
212828.595630964726-0.595630964725977
222827.88460945253820.115390547461763
233434.6752396583493-0.675239658349256
242828.5777804303423-0.57778043034228
252928.49789165181720.50210834818284
263332.71699513229740.283004867702643
275251.5696253460650.430374653934966
282424.6952020840188-0.695202084018761
294141.4309819105292-0.430981910529177
303232.9702129989708-0.970212998970839
312324.1028915696403-1.10289156964033
321313.5062940263446-0.506294026344613
332526.1356372838091-1.1356372838091
343131.7161982659501-0.716198265950065
351310.61090543354452.38909456645549
3687.233554025421420.766445974578577
373837.79898393965840.20101606034162
382423.06142324230790.938576757692077
394141.9750962548532-0.975096254853228
403131.0782947847539-0.0782947847538538
411615.78439963019070.215600369809319
423735.88605243078121.11394756921882
433028.31211569943071.6878843005693
443534.25903891594550.740961084054461
452020.2785119758691-0.278511975869071
463130.89472737599330.105272624006693
473939.8717925164469-0.871792516446899
483937.967268587291.03273141271
491412.84235356488381.15764643511619
501718.3628171885777-1.36281718857765
511718.2207967108784-1.22079671087844
522420.97335005925933.02664994074065
531213.14348881139-1.14348881138996
541516.0162803064519-1.01628030645187
551717.9544249291315-0.954424929131502
561717.2173866710637-0.21738667106372
571616.9492330188799-0.949233018879874
582324.0407658000672-1.04076580006722
592222.8687133035411-0.86871330354106
601717.8957865715061-0.895786571506119
611213.3842138524188-1.38421385241876
621717.5025917346056-0.502591734605609
631414.979653837089-0.979653837088994
641515.75677891739-0.756778917390011
651819.0250989319987-1.02509893199872
661716.22492150835410.775078491645856
6744.5770579100719-0.577057910071895
681819.1388624090143-1.13886240901432
691211.3779419022890.62205809771103
701616.2651059728381-0.265105972838122
712118.12197663702192.87802336297808
721717.3822080274074-0.382208027407422
733838.8038205075795-0.803820507579544
742525.1361434857678-0.136143485767757
753836.82023227614841.1797677238516
763026.00917676652593.99082323347408
774747.6006383070908-0.600638307090792
783131.3119398881278-0.311939888127828
793028.66989377973231.33010622026773
803434.0109999670812-0.0109999670812058
813130.90743967295990.0925603270401305
823332.93334639433110.0666536056689318
832525.0976293348785-0.0976293348785303
843635.87636436401110.123635635988901
8500.518466391586699-0.518466391586699
863232.6974142959569-0.697414295956901
872021.2661129018384-1.26611290183839
882827.48311976987420.516880230125759
893433.23678960710410.763210392895926
902831.1751692429267-3.17516924292666
9143.698132251216180.301867748783821
923937.75646637312211.24353362687794
932928.64316176773260.356838232267432
944443.1954765499010.804523450098973
952121.7368435359211-0.736843535921125
963533.54751260748791.45248739251206
972929.1834429201525-0.183442920152471
982526.3291552150704-1.32915521507038
993635.49475660853590.505243391464097
1002323.2528279824239-0.252827982423921
1013434.0820050030755-0.0820050030754919
1023332.19357693842080.806423061579241
1033839.3356633374194-1.33566333741937
1043523.512901856311511.4870981436885
1052423.8565195048150.143480495184982
1062020.6298576132632-0.629857613263178
1072929.2785027486695-0.278502748669541
1083737.0922405695467-0.0922405695467127
1092524.66820079891060.331799201089393
1103232.6419722951796-0.641972295179589
1112929.5292533660227-0.52925336602269
1122828.2925446571445-0.292544657144514
1133131.4809036141366-0.48090361413658
1142121.2316310796621-0.231631079662059
1153333.5467527151463-0.546752715146306
1163131.0781488200211-0.0781488200211302
1171819.4233089918499-1.42330899184991
1181712.25406328855584.74593671144418
1192021.0372979158726-1.03729791587256
1201210.81290243979461.1870975602054
1213031.4848344867864-1.48483448678642
1222223.1100656016074-1.11006560160739
1234241.39712688618190.602873113818105
12410.6066510166713280.393348983328672
1253232.9621487559687-0.962148755968666
1263635.98153028414340.0184697158565785
12700.563883593450448-0.563883593450448
1282423.83368426095630.166315739043732
1291314.0818698739604-1.08186987396044
1301920.1873305310703-1.18733053107029
1313332.76225696800510.237743031994863
1324342.388963814860.611036185140024
1331414.7940069210767-0.79400692107665
1344544.72152131605090.278478683949076
1353131.4062227635513-0.40622276355127
1363029.07460166458860.925398335411391
1371819.1961499856165-1.19614998561647
1383132.0886446449714-1.08864464497138
1392120.89395739266040.106042607339614
1401818.9378050206211-0.937805020621083
14177.95176126356938-0.951761263569382
1423029.40433982006820.595660179931811
1433739.6232284903346-2.62322849033463
1443229.93515822164792.06484177835207
1452223.1569013684653-1.15690136846534
1461919.9717839985474-0.971783998547422
1471313.6119262150832-0.611926215083187
1481515.674696186077-0.674696186077007
1491616.3430716720017-0.343071672001661
1501817.98795109408590.0120489059140767
1511313.1383795628118-0.1383795628118
1521616.7493010275724-0.749301027572427
1532020.0329519337638-0.0329519337637752
1542223.0983279704306-1.09832797043057
1551718.1786531354501-1.17865313545005
1561718.0231996087794-1.02319960877937
1572323.6334370342598-0.63343703425983
1581414.6676776993691-0.667677699369087
1592120.75786288300650.242137116993484
1601818.2377853075373-0.237785307537331
1611819.2828327673399-1.28283276733994
1621717.3192219050123-0.319221905012263
1631516.0757743474705-1.07577434747054
1642122.1364995915953-1.13649959159528
1651515.7167572908831-0.716757290883056
1662221.99498043007550.0050195699244691
1672121.5041829309638-0.504182930963768
168108.862605708141221.13739429185878
1691616.7944771522632-0.794477152263173
17022.67600943329387-0.676009433293868
1711616.1299759590358-0.129975959035785
1721617.2722051916224-1.27220519162244
1733030.7552371962122-0.755237196212232
1742218.37775454800433.62224545199573
1752626.5602593289987-0.560259328998728
1761818.2505277855012-0.250527785501192
1771111.9589916969902-0.958991696990211
1784443.29150141507520.708498584924803
1794036.69923468258763.30076531741245
1803434.9372787044052-0.937278704405174
1813636.4611257069946-0.46112570699458
1823940.3508055105367-1.35080551053675
1833333.3879519989683-0.387951998968327
1844343.1328096764797-0.132809676479671
1853029.31311975884130.686880241158722
1861314.1484169596809-1.14841695968091
1873232.1982864026199-0.198286402619942
1882828.9534246061438-0.953424606143797
1893030.8313574050767-0.831357405076732
1903916.237474786098922.7625252139011
1912621.65129985161124.34870014838875
1923939.3197750272252-0.319775027225167
1933332.02113211888360.97886788111642
1941817.67407400147310.325925998526894
1951414.1109453611172-0.110945361117234
1962828.3654801293393-0.365480129339294
1972828.2880114968695-0.288011496869506
1983838.7109751041729-0.710975104172849
1993637.8080416080161-1.8080416080161
2003232.2350720890584-0.235072089058427
2012322.86663928585340.13336071414661
2024040.4814942071916-0.481494207191557
2034040.2066545523416-0.206654552341621
2043333.7179414388195-0.71794143881947
2053030.5358459924524-0.535845992452363
2062222.6439105975518-0.64391059755181
2072625.79463686140.205363138599996
20887.94919489715270.0508051028472974
2094542.23788956444722.76211043555277
2103332.8660610157730.133938984226997
2112826.11337774480031.88662225519968
2121918.61813323526360.381866764736397
2132020.8275804429119-0.827580442911865
2143131.8192670443432-0.81926704434319
2153233.1744742912324-1.17447429123239
2161718.0605340114979-1.06053401149788
2173130.6372810329670.362718967032987
2181010.6072302979872-0.607230297987153
21999.79584207887456-0.795842078874565
220118.809818908318522.19018109168148
2211818.9609285669961-0.960928566996128
2224039.30419278285550.695807217144514
2232219.04685661309772.9531433869023
22487.550666250027770.449333749972229
2253534.06380246580810.936197534191918
2264342.99291907593290.00708092406711823
2273839.0470414190653-1.0470414190653
2281313.3097642504932-0.309764250493209
2292827.43766769110520.56233230889481
2304039.47796345659680.52203654340317
2313230.51768233591431.48231766408574
2322729.0788098485814-2.07880984858141
2334140.70351790451440.296482095485587
2341313.891179833789-0.891179833788977
2353231.19205867922640.80794132077361
23600.552056351725605-0.552056351725605
23700.552867908673155-0.552867908673155
23854.456747489967980.54325251003202
23911.54263910899361-0.542639108993608
2401617.1447109683554-1.14471096835535
2412423.10247067564660.897529324353421
2421111.0587815608245-0.0587815608245133
2431718.0795186336786-1.07951863367864
2441616.3211727785965-0.321172778596499
2452420.36562405562953.63437594437048
2461818.9474154806175-0.947415480617462
2472020.4446998162002-0.444699816200167
2481616.5657344262262-0.565734426226205
2492223.0922253156685-1.0922253156685
25088.45943534516318-0.459435345163184
2511818.142489401411-0.142489401411015
2521313.9788358388839-0.97883583888393
2531616.1283947067815-0.128394706781461
2541818.8448202959707-0.844820295970723
25577.44918816458914-0.449188164589142
2561411.30288450517742.69711549482262
2571515.8338668359145-0.833866835914459
2581716.20187638753470.798123612465257
2591718.5664429121389-1.56644291213894
2601616.8585642803798-0.858564280379805
2611617.232721607639-1.23272160763895
2621514.44702546826660.552974531733387
2631718.0888596859995-1.08885968599948
2641010.9105726069444-0.9105726069444
26566.46709421002509-0.467094210025088
26611.14497521205902-0.144975212059016
2671615.63172690361670.368273096383276
268910.0222730552439-1.02227305524387
2691616.1788945546463-0.178894554646343
2701717.9565201501643-0.956520150164327
27176.006731700721430.993268299278574
2721515.0751935665326-0.0751935665325974
2731414.2474276578657-0.247427657865658
2741415.0420942370865-1.04209423708647
2751920.4383874772404-1.43838747724043
2761616.8689146428469-0.868914642846923
27711.3738219844525-0.373821984452502
2781616.9599179158459-0.95991791584591
2791011.0698057304042-1.06980573040423
2801918.71048914876560.289510851234438
2811212.9784514609948-0.978451460994812
2821413.96799363794520.0320063620547714
2831920.0499117148154-1.04991171481537
2841411.77365266061622.22634733938379
2851110.91542550233620.0845744976638473
28644.26805346373388-0.268053463733876
2872019.15003773147210.849962268527854
2881211.90723287693130.0927671230687298
2891516.0021405910025-1.00214059100251






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.1834615426995850.3669230853991690.816538457300416
90.08120197799112550.1624039559822510.918798022008875
100.03284607209914290.06569214419828580.967153927900857
110.01660404024685690.03320808049371390.983395959753143
120.006148684701673860.01229736940334770.993851315298326
130.00487915636180160.009758312723603210.995120843638198
140.006528256404598330.01305651280919670.993471743595402
150.002841103044104110.005682206088208210.997158896955896
160.007043002802265380.01408600560453080.992956997197735
170.003435050370186980.006870100740373960.996564949629813
180.004623559170335370.009247118340670750.995376440829665
190.002358845356861440.004717690713722880.997641154643139
200.001383459951217070.002766919902434130.998616540048783
210.0006382164577500450.001276432915500090.99936178354225
220.00032567968817480.0006513593763495990.999674320311825
230.0001452384268162730.0002904768536325450.999854761573184
246.62097441983898e-050.000132419488396780.999933790255802
252.94814644962696e-055.89629289925391e-050.999970518535504
262.47987462810685e-054.9597492562137e-050.999975201253719
271.55198766085377e-053.10397532170754e-050.999984480123391
286.87804762606047e-061.37560952521209e-050.999993121952374
293.26511936587058e-066.53023873174116e-060.999996734880634
304.7332919539787e-069.46658390795739e-060.999995266708046
311.27104916977564e-052.54209833955128e-050.999987289508302
321.10044138049752e-052.20088276099504e-050.999988995586195
331.4063048520595e-052.81260970411901e-050.999985936951479
346.62844008254093e-061.32568801650819e-050.999993371559917
359.61646199383138e-061.92329239876628e-050.999990383538006
364.58415503461273e-069.16831006922546e-060.999995415844965
372.20081075528034e-064.40162151056068e-060.999997799189245
381.07788254532671e-062.15576509065342e-060.999998922117455
395.04156618437595e-071.00831323687519e-060.999999495843382
402.46091321423713e-074.92182642847426e-070.999999753908679
411.17311181728997e-072.34622363457995e-070.999999882688818
421.63783737590145e-073.27567475180291e-070.999999836216262
431.8470591240506e-073.69411824810121e-070.999999815294088
441.14252899898351e-072.28505799796701e-070.9999998857471
455.89169494286138e-081.17833898857228e-070.999999941083051
462.86425993393221e-085.72851986786442e-080.999999971357401
471.32441018857326e-082.64882037714652e-080.999999986755898
481.45044393639254e-082.90088787278509e-080.999999985495561
498.0161383935813e-091.60322767871626e-080.999999991983862
501.35386321596281e-082.70772643192563e-080.999999986461368
512.3621018426278e-084.7242036852556e-080.999999976378982
528.33842908465437e-081.66768581693087e-070.999999916615709
539.03847724618066e-081.80769544923613e-070.999999909615228
541.01491644920966e-072.02983289841932e-070.999999898508355
551.15189736089215e-072.30379472178429e-070.999999884810264
566.17868760066431e-081.23573752013286e-070.999999938213124
575.99931585204606e-081.19986317040921e-070.999999940006841
586.62405582825199e-081.3248111656504e-070.999999933759442
596.63687591238768e-081.32737518247754e-070.999999933631241
604.42209157208116e-088.84418314416232e-080.999999955779084
613.68876785925711e-087.37753571851423e-080.999999963112321
622.27836952853082e-084.55673905706164e-080.999999977216305
631.74525568174246e-083.49051136348493e-080.999999982547443
641.01174423894568e-082.02348847789135e-080.999999989882558
657.89013741699618e-091.57802748339924e-080.999999992109863
664.68985557475563e-099.37971114951125e-090.999999995310144
672.51109685349118e-095.02219370698235e-090.999999997488903
682.01696278446128e-094.03392556892255e-090.999999997983037
691.23718547391017e-092.47437094782034e-090.999999998762815
706.20457281409444e-101.24091456281889e-090.999999999379543
715.67199576956134e-091.13439915391227e-080.999999994328004
723.15025709079228e-096.30051418158455e-090.999999996849743
731.88149150825133e-093.76298301650267e-090.999999998118508
749.53281046091409e-101.90656209218282e-090.999999999046719
757.84689391143719e-101.56937878228744e-090.999999999215311
763.17471565210302e-086.34943130420603e-080.999999968252843
771.83735714446295e-083.6747142889259e-080.999999981626429
789.97427279714762e-091.99485455942952e-080.999999990025727
798.69647728077212e-091.73929545615442e-080.999999991303523
804.67009362763648e-099.34018725527295e-090.999999995329906
812.48585421276244e-094.97170842552489e-090.999999997514146
821.30610411418304e-092.61220822836608e-090.999999998693896
836.90736946646019e-101.38147389329204e-090.999999999309263
843.56754877325932e-107.13509754651863e-100.999999999643245
852.01089015702056e-104.02178031404112e-100.999999999798911
861.21944861364642e-102.43889722729284e-100.999999999878055
871.05436337167404e-102.10872674334808e-100.999999999894564
885.61323519762667e-111.12264703952533e-100.999999999943868
893.29796427165846e-116.59592854331691e-110.99999999996702
903.34913736021426e-106.69827472042853e-100.999999999665086
911.80643557007848e-103.61287114015695e-100.999999999819356
921.20181905439176e-102.40363810878352e-100.999999999879818
936.41507479186401e-111.2830149583728e-100.999999999935849
943.61459130174754e-117.22918260349508e-110.999999999963854
952.08636998446574e-114.17273996893148e-110.999999999979136
962.21370472786155e-114.4274094557231e-110.999999999977863
971.21041115637854e-112.42082231275708e-110.999999999987896
988.93585222990428e-121.78717044598086e-110.999999999991064
994.75083392788618e-129.50166785577235e-120.999999999995249
1002.48595229901429e-124.97190459802858e-120.999999999997514
1011.23697923225213e-122.47395846450427e-120.999999999998763
1027.37811828330377e-131.47562365666075e-120.999999999999262
1035.1107485485347e-131.02214970970694e-120.999999999999489
1040.004154462772513670.008308925545027340.995845537227486
1050.003168136332798370.006336272665596740.996831863667202
1060.002521634297728830.005043268595457650.997478365702271
1070.001909282600167620.003818565200335240.998090717399832
1080.001445065115000280.002890130230000560.998554934885
1090.001082027268676710.002164054537353420.998917972731323
1100.0008426804608899150.001685360921779830.99915731953911
1110.0006361096637537640.001272219327507530.999363890336246
1120.0004719568917585960.0009439137835171930.999528043108241
1130.0003493054048744260.0006986108097488520.999650694595126
1140.0002516817025324040.0005033634050648080.999748318297468
1150.0001856299134023240.0003712598268046470.999814370086598
1160.0001317881212729610.0002635762425459210.999868211878727
1170.0001159436575353940.0002318873150707880.999884056342465
1180.0007465083747731820.001493016749546360.999253491625227
1190.0006116275424650930.001223255084930190.999388372457535
1200.0005004594100565520.00100091882011310.999499540589944
1210.0004588454730363010.0009176909460726030.999541154526964
1220.000393081649599020.0007861632991980390.999606918350401
1230.0003017710084623480.0006035420169246950.999698228991538
1240.0002194511905850950.000438902381170190.999780548809415
1250.0001708988270712470.0003417976541424940.999829101172929
1260.0001219461787334810.0002438923574669630.999878053821266
1279.19822244762276e-050.0001839644489524550.999908017775524
1286.50867077488778e-050.0001301734154977560.999934913292251
1295.24863652050153e-050.0001049727304100310.999947513634795
1304.32189746356461e-058.64379492712921e-050.999956781025364
1313.01517470055655e-056.03034940111309e-050.999969848252994
1322.16569532345396e-054.33139064690793e-050.999978343046765
1331.6046276701284e-053.2092553402568e-050.999983953723299
1341.10439668389961e-052.20879336779923e-050.999988956033161
1357.6971033272671e-061.53942066545342e-050.999992302896673
1365.68523290603194e-061.13704658120639e-050.999994314767094
1374.5130325477882e-069.02606509557639e-060.999995486967452
1383.43099213391197e-066.86198426782394e-060.999996569007866
1392.27782578809086e-064.55565157618173e-060.999997722174212
1401.69064034900123e-063.38128069800245e-060.999998309359651
1411.26362551645465e-062.52725103290929e-060.999998736374484
1428.84810739357787e-071.76962147871557e-060.999999115189261
1431.26248959451764e-062.52497918903528e-060.999998737510405
1441.6364099664148e-063.27281993282959e-060.999998363590034
1451.31551723913845e-062.6310344782769e-060.999998684482761
1469.89723632739077e-071.97944726547815e-060.999999010276367
1476.83064563214764e-071.36612912642953e-060.999999316935437
1484.75334737998468e-079.50669475996936e-070.999999524665262
1493.12102775552271e-076.24205551104543e-070.999999687897224
1501.99664120747305e-073.9932824149461e-070.999999800335879
1511.27227118551916e-072.54454237103832e-070.999999872772881
1528.656815600869e-081.7313631201738e-070.999999913431844
1535.43907067300213e-081.08781413460043e-070.999999945609293
1544.07246941222196e-088.14493882444392e-080.999999959275306
1553.04460901950418e-086.08921803900836e-080.99999996955391
1562.20579007762182e-084.41158015524364e-080.999999977942099
1571.44204480691401e-082.88408961382802e-080.999999985579552
1589.38216015445046e-091.87643203089009e-080.99999999061784
1595.79949245381618e-091.15989849076324e-080.999999994200508
1603.51929981232136e-097.03859962464272e-090.9999999964807
1612.71457137437896e-095.42914274875791e-090.999999997285429
1621.63880267173579e-093.27760534347158e-090.999999998361197
1631.14810409168723e-092.29620818337446e-090.999999998851896
1648.3697816460934e-101.67395632921868e-090.999999999163022
1655.3192107823506e-101.06384215647012e-090.999999999468079
1663.11929579414179e-106.23859158828358e-100.99999999968807
1671.87964550042175e-103.7592910008435e-100.999999999812035
1681.36677604536411e-102.73355209072822e-100.999999999863322
1698.63093100156712e-111.72618620031342e-100.999999999913691
1705.27767892216597e-111.05553578443319e-100.999999999947223
1712.99394121141226e-115.98788242282453e-110.999999999970061
1722.17737149350622e-114.35474298701244e-110.999999999978226
1731.3642540365329e-112.7285080730658e-110.999999999986357
1747.8166102697297e-111.56332205394594e-100.999999999921834
1754.64059426816418e-119.28118853632836e-110.999999999953594
1762.66137013487253e-115.32274026974507e-110.999999999973386
1771.75662145071761e-113.51324290143523e-110.999999999982434
1781.06696821333695e-112.13393642667391e-110.99999999998933
1793.78651461762476e-117.57302923524951e-110.999999999962135
1802.45983144583758e-114.91966289167516e-110.999999999975402
1811.45932902754383e-112.91865805508766e-110.999999999985407
1821.15234215050994e-112.30468430101988e-110.999999999988477
1836.56151948756303e-121.31230389751261e-110.999999999993438
1843.63412610153742e-127.26825220307484e-120.999999999996366
1852.16493590926467e-124.32987181852934e-120.999999999997835
1861.48423929084853e-122.96847858169707e-120.999999999998516
1878.11489704821325e-131.62297940964265e-120.999999999999189
1885.15743271668134e-131.03148654333627e-120.999999999999484
1893.18578375969218e-136.37156751938437e-130.999999999999681
1900.9999999999830013.39986686149018e-111.69993343074509e-11
1910.9999999999999081.83804702869191e-139.19023514345953e-14
1920.9999999999998093.81808567901656e-131.90904283950828e-13
1930.9999999999997085.83294122063292e-132.91647061031646e-13
1940.9999999999994141.17212108481968e-125.86060542409839e-13
1950.9999999999987892.42136070047239e-121.21068035023619e-12
1960.9999999999975494.90299026006725e-122.45149513003363e-12
1970.9999999999950539.89392163420822e-124.94696081710411e-12
1980.9999999999911.79997080735678e-118.99985403678392e-12
1990.9999999999930841.38313749377644e-116.91568746888219e-12
2000.9999999999863622.72766626177019e-111.3638331308851e-11
2010.9999999999739885.2023824701257e-112.60119123506285e-11
2020.9999999999547529.04970368197149e-114.52485184098574e-11
2030.9999999999177091.64580991281427e-108.22904956407134e-11
2040.9999999998598142.80372649788119e-101.4018632489406e-10
2050.9999999997501374.99726824384226e-102.49863412192113e-10
2060.9999999995650858.69829062466074e-104.34914531233037e-10
2070.9999999991584561.68308884698356e-098.41544423491778e-10
2080.999999998453413.09317991323485e-091.54658995661742e-09
2090.9999999997640344.71931741328221e-102.35965870664111e-10
2100.9999999995858318.28337403077304e-104.14168701538652e-10
2110.9999999997503394.99322173387272e-102.49661086693636e-10
2120.9999999995104439.79113468745791e-104.89556734372895e-10
2130.9999999990625721.87485579578994e-099.3742789789497e-10
2140.9999999983113043.37739239562035e-091.68869619781018e-09
2150.9999999976815654.63687076729448e-092.31843538364724e-09
2160.9999999966857846.62843160152372e-093.31421580076186e-09
2170.9999999938162951.2367409218248e-086.18370460912402e-09
2180.9999999889768132.20463737783418e-081.10231868891709e-08
2190.9999999813903953.7219209546109e-081.86096047730545e-08
2200.999999993246661.35066798506256e-086.7533399253128e-09
2210.999999989160052.16798997158896e-081.08399498579448e-08
2220.9999999806579633.86840744078814e-081.93420372039407e-08
2230.9999999985900052.81998949626943e-091.40999474813471e-09
2240.999999997547564.90488015734479e-092.4524400786724e-09
2250.9999999963460567.30788719588178e-093.65394359794089e-09
2260.9999999926298461.4740308639694e-087.370154319847e-09
2270.9999999911905831.76188333289588e-088.80941666447938e-09
2280.9999999823186273.53627457121684e-081.76813728560842e-08
2290.999999972106095.57878189508858e-082.78939094754429e-08
2300.9999999538605979.22788055026688e-084.61394027513344e-08
2310.9999999686634386.2673123230663e-083.13365616153315e-08
2320.9999999764845464.70309070991497e-082.35154535495748e-08
2330.9999999534180349.31639312871363e-084.65819656435681e-08
2340.9999999182550041.63489991671927e-078.17449958359633e-08
2350.999999916673881.66652240786921e-078.33261203934604e-08
2360.9999998459560073.08087986240513e-071.54043993120257e-07
2370.9999997226956815.5460863776044e-072.7730431888022e-07
2380.9999995308022959.38395409137933e-074.69197704568967e-07
2390.9999991658698591.66826028093961e-068.34130140469806e-07
2400.9999985937202532.81255949443201e-061.40627974721601e-06
2410.9999987277123992.54457520147726e-061.27228760073863e-06
2420.9999976476484714.70470305880553e-062.35235152940277e-06
2430.9999958830993678.23380126594203e-064.11690063297102e-06
2440.9999921790612211.5641877557644e-057.82093877882198e-06
2450.9999999712447985.75104035720905e-082.87552017860453e-08
2460.9999999390913461.21817308388679e-076.09086541943395e-08
2470.9999998639797442.72040512804946e-071.36020256402473e-07
2480.9999997001763465.99647308395106e-072.99823654197553e-07
2490.9999993828454591.23430908262952e-066.1715454131476e-07
2500.9999987348858622.53022827539286e-061.26511413769643e-06
2510.9999974450278515.10994429797641e-062.55497214898821e-06
2520.9999955689365148.86212697168141e-064.43106348584071e-06
2530.9999910175225421.79649549155099e-058.98247745775497e-06
2540.9999824014519043.51970961916465e-051.75985480958233e-05
2550.9999667606202256.64787595496893e-053.32393797748447e-05
2560.9999989431398332.11372033396072e-061.05686016698036e-06
2570.9999977564044174.48719116610394e-062.24359558305197e-06
2580.9999977860926864.42781462833377e-062.21390731416688e-06
2590.9999971612908685.67741826321299e-062.8387091316065e-06
2600.999993757621071.24847578600808e-056.24237893004041e-06
2610.9999887562587452.24874825104442e-051.12437412552221e-05
2620.9999848962869523.02074260952123e-051.51037130476062e-05
2630.9999729161737985.41676524032382e-052.70838262016191e-05
2640.9999505459831969.89080336075526e-054.94540168037763e-05
2650.9998953795920060.0002092408159875450.000104620407993772
2660.9997672648170310.0004654703659379720.000232735182968986
2670.999577508587610.0008449828247807350.000422491412390368
2680.9994080344300130.001183931139973230.000591965569986615
2690.9987693554780430.002461289043913530.00123064452195677
2700.9974085465535960.005182906892807060.00259145344640353
2710.9962567289282640.007486542143471010.00374327107173551
2720.9923232853042190.01535342939156260.00767671469578128
2730.985818103064580.02836379387083980.0141818969354199
2740.9793692637414170.04126147251716660.0206307362585833
2750.9918333097034280.01633338059314370.00816669029657187
2760.9816666553382890.0366666893234230.0183333446617115
2770.960982844090640.07803431181871960.0390171559093598
2780.949238807328030.1015223853439410.0507611926719705
2790.9302272477144190.1395455045711620.069772752285581
2800.853446046141760.293107907716480.14655395385824
2810.8769790953002140.2460418093995720.123020904699786

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.183461542699585 & 0.366923085399169 & 0.816538457300416 \tabularnewline
9 & 0.0812019779911255 & 0.162403955982251 & 0.918798022008875 \tabularnewline
10 & 0.0328460720991429 & 0.0656921441982858 & 0.967153927900857 \tabularnewline
11 & 0.0166040402468569 & 0.0332080804937139 & 0.983395959753143 \tabularnewline
12 & 0.00614868470167386 & 0.0122973694033477 & 0.993851315298326 \tabularnewline
13 & 0.0048791563618016 & 0.00975831272360321 & 0.995120843638198 \tabularnewline
14 & 0.00652825640459833 & 0.0130565128091967 & 0.993471743595402 \tabularnewline
15 & 0.00284110304410411 & 0.00568220608820821 & 0.997158896955896 \tabularnewline
16 & 0.00704300280226538 & 0.0140860056045308 & 0.992956997197735 \tabularnewline
17 & 0.00343505037018698 & 0.00687010074037396 & 0.996564949629813 \tabularnewline
18 & 0.00462355917033537 & 0.00924711834067075 & 0.995376440829665 \tabularnewline
19 & 0.00235884535686144 & 0.00471769071372288 & 0.997641154643139 \tabularnewline
20 & 0.00138345995121707 & 0.00276691990243413 & 0.998616540048783 \tabularnewline
21 & 0.000638216457750045 & 0.00127643291550009 & 0.99936178354225 \tabularnewline
22 & 0.0003256796881748 & 0.000651359376349599 & 0.999674320311825 \tabularnewline
23 & 0.000145238426816273 & 0.000290476853632545 & 0.999854761573184 \tabularnewline
24 & 6.62097441983898e-05 & 0.00013241948839678 & 0.999933790255802 \tabularnewline
25 & 2.94814644962696e-05 & 5.89629289925391e-05 & 0.999970518535504 \tabularnewline
26 & 2.47987462810685e-05 & 4.9597492562137e-05 & 0.999975201253719 \tabularnewline
27 & 1.55198766085377e-05 & 3.10397532170754e-05 & 0.999984480123391 \tabularnewline
28 & 6.87804762606047e-06 & 1.37560952521209e-05 & 0.999993121952374 \tabularnewline
29 & 3.26511936587058e-06 & 6.53023873174116e-06 & 0.999996734880634 \tabularnewline
30 & 4.7332919539787e-06 & 9.46658390795739e-06 & 0.999995266708046 \tabularnewline
31 & 1.27104916977564e-05 & 2.54209833955128e-05 & 0.999987289508302 \tabularnewline
32 & 1.10044138049752e-05 & 2.20088276099504e-05 & 0.999988995586195 \tabularnewline
33 & 1.4063048520595e-05 & 2.81260970411901e-05 & 0.999985936951479 \tabularnewline
34 & 6.62844008254093e-06 & 1.32568801650819e-05 & 0.999993371559917 \tabularnewline
35 & 9.61646199383138e-06 & 1.92329239876628e-05 & 0.999990383538006 \tabularnewline
36 & 4.58415503461273e-06 & 9.16831006922546e-06 & 0.999995415844965 \tabularnewline
37 & 2.20081075528034e-06 & 4.40162151056068e-06 & 0.999997799189245 \tabularnewline
38 & 1.07788254532671e-06 & 2.15576509065342e-06 & 0.999998922117455 \tabularnewline
39 & 5.04156618437595e-07 & 1.00831323687519e-06 & 0.999999495843382 \tabularnewline
40 & 2.46091321423713e-07 & 4.92182642847426e-07 & 0.999999753908679 \tabularnewline
41 & 1.17311181728997e-07 & 2.34622363457995e-07 & 0.999999882688818 \tabularnewline
42 & 1.63783737590145e-07 & 3.27567475180291e-07 & 0.999999836216262 \tabularnewline
43 & 1.8470591240506e-07 & 3.69411824810121e-07 & 0.999999815294088 \tabularnewline
44 & 1.14252899898351e-07 & 2.28505799796701e-07 & 0.9999998857471 \tabularnewline
45 & 5.89169494286138e-08 & 1.17833898857228e-07 & 0.999999941083051 \tabularnewline
46 & 2.86425993393221e-08 & 5.72851986786442e-08 & 0.999999971357401 \tabularnewline
47 & 1.32441018857326e-08 & 2.64882037714652e-08 & 0.999999986755898 \tabularnewline
48 & 1.45044393639254e-08 & 2.90088787278509e-08 & 0.999999985495561 \tabularnewline
49 & 8.0161383935813e-09 & 1.60322767871626e-08 & 0.999999991983862 \tabularnewline
50 & 1.35386321596281e-08 & 2.70772643192563e-08 & 0.999999986461368 \tabularnewline
51 & 2.3621018426278e-08 & 4.7242036852556e-08 & 0.999999976378982 \tabularnewline
52 & 8.33842908465437e-08 & 1.66768581693087e-07 & 0.999999916615709 \tabularnewline
53 & 9.03847724618066e-08 & 1.80769544923613e-07 & 0.999999909615228 \tabularnewline
54 & 1.01491644920966e-07 & 2.02983289841932e-07 & 0.999999898508355 \tabularnewline
55 & 1.15189736089215e-07 & 2.30379472178429e-07 & 0.999999884810264 \tabularnewline
56 & 6.17868760066431e-08 & 1.23573752013286e-07 & 0.999999938213124 \tabularnewline
57 & 5.99931585204606e-08 & 1.19986317040921e-07 & 0.999999940006841 \tabularnewline
58 & 6.62405582825199e-08 & 1.3248111656504e-07 & 0.999999933759442 \tabularnewline
59 & 6.63687591238768e-08 & 1.32737518247754e-07 & 0.999999933631241 \tabularnewline
60 & 4.42209157208116e-08 & 8.84418314416232e-08 & 0.999999955779084 \tabularnewline
61 & 3.68876785925711e-08 & 7.37753571851423e-08 & 0.999999963112321 \tabularnewline
62 & 2.27836952853082e-08 & 4.55673905706164e-08 & 0.999999977216305 \tabularnewline
63 & 1.74525568174246e-08 & 3.49051136348493e-08 & 0.999999982547443 \tabularnewline
64 & 1.01174423894568e-08 & 2.02348847789135e-08 & 0.999999989882558 \tabularnewline
65 & 7.89013741699618e-09 & 1.57802748339924e-08 & 0.999999992109863 \tabularnewline
66 & 4.68985557475563e-09 & 9.37971114951125e-09 & 0.999999995310144 \tabularnewline
67 & 2.51109685349118e-09 & 5.02219370698235e-09 & 0.999999997488903 \tabularnewline
68 & 2.01696278446128e-09 & 4.03392556892255e-09 & 0.999999997983037 \tabularnewline
69 & 1.23718547391017e-09 & 2.47437094782034e-09 & 0.999999998762815 \tabularnewline
70 & 6.20457281409444e-10 & 1.24091456281889e-09 & 0.999999999379543 \tabularnewline
71 & 5.67199576956134e-09 & 1.13439915391227e-08 & 0.999999994328004 \tabularnewline
72 & 3.15025709079228e-09 & 6.30051418158455e-09 & 0.999999996849743 \tabularnewline
73 & 1.88149150825133e-09 & 3.76298301650267e-09 & 0.999999998118508 \tabularnewline
74 & 9.53281046091409e-10 & 1.90656209218282e-09 & 0.999999999046719 \tabularnewline
75 & 7.84689391143719e-10 & 1.56937878228744e-09 & 0.999999999215311 \tabularnewline
76 & 3.17471565210302e-08 & 6.34943130420603e-08 & 0.999999968252843 \tabularnewline
77 & 1.83735714446295e-08 & 3.6747142889259e-08 & 0.999999981626429 \tabularnewline
78 & 9.97427279714762e-09 & 1.99485455942952e-08 & 0.999999990025727 \tabularnewline
79 & 8.69647728077212e-09 & 1.73929545615442e-08 & 0.999999991303523 \tabularnewline
80 & 4.67009362763648e-09 & 9.34018725527295e-09 & 0.999999995329906 \tabularnewline
81 & 2.48585421276244e-09 & 4.97170842552489e-09 & 0.999999997514146 \tabularnewline
82 & 1.30610411418304e-09 & 2.61220822836608e-09 & 0.999999998693896 \tabularnewline
83 & 6.90736946646019e-10 & 1.38147389329204e-09 & 0.999999999309263 \tabularnewline
84 & 3.56754877325932e-10 & 7.13509754651863e-10 & 0.999999999643245 \tabularnewline
85 & 2.01089015702056e-10 & 4.02178031404112e-10 & 0.999999999798911 \tabularnewline
86 & 1.21944861364642e-10 & 2.43889722729284e-10 & 0.999999999878055 \tabularnewline
87 & 1.05436337167404e-10 & 2.10872674334808e-10 & 0.999999999894564 \tabularnewline
88 & 5.61323519762667e-11 & 1.12264703952533e-10 & 0.999999999943868 \tabularnewline
89 & 3.29796427165846e-11 & 6.59592854331691e-11 & 0.99999999996702 \tabularnewline
90 & 3.34913736021426e-10 & 6.69827472042853e-10 & 0.999999999665086 \tabularnewline
91 & 1.80643557007848e-10 & 3.61287114015695e-10 & 0.999999999819356 \tabularnewline
92 & 1.20181905439176e-10 & 2.40363810878352e-10 & 0.999999999879818 \tabularnewline
93 & 6.41507479186401e-11 & 1.2830149583728e-10 & 0.999999999935849 \tabularnewline
94 & 3.61459130174754e-11 & 7.22918260349508e-11 & 0.999999999963854 \tabularnewline
95 & 2.08636998446574e-11 & 4.17273996893148e-11 & 0.999999999979136 \tabularnewline
96 & 2.21370472786155e-11 & 4.4274094557231e-11 & 0.999999999977863 \tabularnewline
97 & 1.21041115637854e-11 & 2.42082231275708e-11 & 0.999999999987896 \tabularnewline
98 & 8.93585222990428e-12 & 1.78717044598086e-11 & 0.999999999991064 \tabularnewline
99 & 4.75083392788618e-12 & 9.50166785577235e-12 & 0.999999999995249 \tabularnewline
100 & 2.48595229901429e-12 & 4.97190459802858e-12 & 0.999999999997514 \tabularnewline
101 & 1.23697923225213e-12 & 2.47395846450427e-12 & 0.999999999998763 \tabularnewline
102 & 7.37811828330377e-13 & 1.47562365666075e-12 & 0.999999999999262 \tabularnewline
103 & 5.1107485485347e-13 & 1.02214970970694e-12 & 0.999999999999489 \tabularnewline
104 & 0.00415446277251367 & 0.00830892554502734 & 0.995845537227486 \tabularnewline
105 & 0.00316813633279837 & 0.00633627266559674 & 0.996831863667202 \tabularnewline
106 & 0.00252163429772883 & 0.00504326859545765 & 0.997478365702271 \tabularnewline
107 & 0.00190928260016762 & 0.00381856520033524 & 0.998090717399832 \tabularnewline
108 & 0.00144506511500028 & 0.00289013023000056 & 0.998554934885 \tabularnewline
109 & 0.00108202726867671 & 0.00216405453735342 & 0.998917972731323 \tabularnewline
110 & 0.000842680460889915 & 0.00168536092177983 & 0.99915731953911 \tabularnewline
111 & 0.000636109663753764 & 0.00127221932750753 & 0.999363890336246 \tabularnewline
112 & 0.000471956891758596 & 0.000943913783517193 & 0.999528043108241 \tabularnewline
113 & 0.000349305404874426 & 0.000698610809748852 & 0.999650694595126 \tabularnewline
114 & 0.000251681702532404 & 0.000503363405064808 & 0.999748318297468 \tabularnewline
115 & 0.000185629913402324 & 0.000371259826804647 & 0.999814370086598 \tabularnewline
116 & 0.000131788121272961 & 0.000263576242545921 & 0.999868211878727 \tabularnewline
117 & 0.000115943657535394 & 0.000231887315070788 & 0.999884056342465 \tabularnewline
118 & 0.000746508374773182 & 0.00149301674954636 & 0.999253491625227 \tabularnewline
119 & 0.000611627542465093 & 0.00122325508493019 & 0.999388372457535 \tabularnewline
120 & 0.000500459410056552 & 0.0010009188201131 & 0.999499540589944 \tabularnewline
121 & 0.000458845473036301 & 0.000917690946072603 & 0.999541154526964 \tabularnewline
122 & 0.00039308164959902 & 0.000786163299198039 & 0.999606918350401 \tabularnewline
123 & 0.000301771008462348 & 0.000603542016924695 & 0.999698228991538 \tabularnewline
124 & 0.000219451190585095 & 0.00043890238117019 & 0.999780548809415 \tabularnewline
125 & 0.000170898827071247 & 0.000341797654142494 & 0.999829101172929 \tabularnewline
126 & 0.000121946178733481 & 0.000243892357466963 & 0.999878053821266 \tabularnewline
127 & 9.19822244762276e-05 & 0.000183964448952455 & 0.999908017775524 \tabularnewline
128 & 6.50867077488778e-05 & 0.000130173415497756 & 0.999934913292251 \tabularnewline
129 & 5.24863652050153e-05 & 0.000104972730410031 & 0.999947513634795 \tabularnewline
130 & 4.32189746356461e-05 & 8.64379492712921e-05 & 0.999956781025364 \tabularnewline
131 & 3.01517470055655e-05 & 6.03034940111309e-05 & 0.999969848252994 \tabularnewline
132 & 2.16569532345396e-05 & 4.33139064690793e-05 & 0.999978343046765 \tabularnewline
133 & 1.6046276701284e-05 & 3.2092553402568e-05 & 0.999983953723299 \tabularnewline
134 & 1.10439668389961e-05 & 2.20879336779923e-05 & 0.999988956033161 \tabularnewline
135 & 7.6971033272671e-06 & 1.53942066545342e-05 & 0.999992302896673 \tabularnewline
136 & 5.68523290603194e-06 & 1.13704658120639e-05 & 0.999994314767094 \tabularnewline
137 & 4.5130325477882e-06 & 9.02606509557639e-06 & 0.999995486967452 \tabularnewline
138 & 3.43099213391197e-06 & 6.86198426782394e-06 & 0.999996569007866 \tabularnewline
139 & 2.27782578809086e-06 & 4.55565157618173e-06 & 0.999997722174212 \tabularnewline
140 & 1.69064034900123e-06 & 3.38128069800245e-06 & 0.999998309359651 \tabularnewline
141 & 1.26362551645465e-06 & 2.52725103290929e-06 & 0.999998736374484 \tabularnewline
142 & 8.84810739357787e-07 & 1.76962147871557e-06 & 0.999999115189261 \tabularnewline
143 & 1.26248959451764e-06 & 2.52497918903528e-06 & 0.999998737510405 \tabularnewline
144 & 1.6364099664148e-06 & 3.27281993282959e-06 & 0.999998363590034 \tabularnewline
145 & 1.31551723913845e-06 & 2.6310344782769e-06 & 0.999998684482761 \tabularnewline
146 & 9.89723632739077e-07 & 1.97944726547815e-06 & 0.999999010276367 \tabularnewline
147 & 6.83064563214764e-07 & 1.36612912642953e-06 & 0.999999316935437 \tabularnewline
148 & 4.75334737998468e-07 & 9.50669475996936e-07 & 0.999999524665262 \tabularnewline
149 & 3.12102775552271e-07 & 6.24205551104543e-07 & 0.999999687897224 \tabularnewline
150 & 1.99664120747305e-07 & 3.9932824149461e-07 & 0.999999800335879 \tabularnewline
151 & 1.27227118551916e-07 & 2.54454237103832e-07 & 0.999999872772881 \tabularnewline
152 & 8.656815600869e-08 & 1.7313631201738e-07 & 0.999999913431844 \tabularnewline
153 & 5.43907067300213e-08 & 1.08781413460043e-07 & 0.999999945609293 \tabularnewline
154 & 4.07246941222196e-08 & 8.14493882444392e-08 & 0.999999959275306 \tabularnewline
155 & 3.04460901950418e-08 & 6.08921803900836e-08 & 0.99999996955391 \tabularnewline
156 & 2.20579007762182e-08 & 4.41158015524364e-08 & 0.999999977942099 \tabularnewline
157 & 1.44204480691401e-08 & 2.88408961382802e-08 & 0.999999985579552 \tabularnewline
158 & 9.38216015445046e-09 & 1.87643203089009e-08 & 0.99999999061784 \tabularnewline
159 & 5.79949245381618e-09 & 1.15989849076324e-08 & 0.999999994200508 \tabularnewline
160 & 3.51929981232136e-09 & 7.03859962464272e-09 & 0.9999999964807 \tabularnewline
161 & 2.71457137437896e-09 & 5.42914274875791e-09 & 0.999999997285429 \tabularnewline
162 & 1.63880267173579e-09 & 3.27760534347158e-09 & 0.999999998361197 \tabularnewline
163 & 1.14810409168723e-09 & 2.29620818337446e-09 & 0.999999998851896 \tabularnewline
164 & 8.3697816460934e-10 & 1.67395632921868e-09 & 0.999999999163022 \tabularnewline
165 & 5.3192107823506e-10 & 1.06384215647012e-09 & 0.999999999468079 \tabularnewline
166 & 3.11929579414179e-10 & 6.23859158828358e-10 & 0.99999999968807 \tabularnewline
167 & 1.87964550042175e-10 & 3.7592910008435e-10 & 0.999999999812035 \tabularnewline
168 & 1.36677604536411e-10 & 2.73355209072822e-10 & 0.999999999863322 \tabularnewline
169 & 8.63093100156712e-11 & 1.72618620031342e-10 & 0.999999999913691 \tabularnewline
170 & 5.27767892216597e-11 & 1.05553578443319e-10 & 0.999999999947223 \tabularnewline
171 & 2.99394121141226e-11 & 5.98788242282453e-11 & 0.999999999970061 \tabularnewline
172 & 2.17737149350622e-11 & 4.35474298701244e-11 & 0.999999999978226 \tabularnewline
173 & 1.3642540365329e-11 & 2.7285080730658e-11 & 0.999999999986357 \tabularnewline
174 & 7.8166102697297e-11 & 1.56332205394594e-10 & 0.999999999921834 \tabularnewline
175 & 4.64059426816418e-11 & 9.28118853632836e-11 & 0.999999999953594 \tabularnewline
176 & 2.66137013487253e-11 & 5.32274026974507e-11 & 0.999999999973386 \tabularnewline
177 & 1.75662145071761e-11 & 3.51324290143523e-11 & 0.999999999982434 \tabularnewline
178 & 1.06696821333695e-11 & 2.13393642667391e-11 & 0.99999999998933 \tabularnewline
179 & 3.78651461762476e-11 & 7.57302923524951e-11 & 0.999999999962135 \tabularnewline
180 & 2.45983144583758e-11 & 4.91966289167516e-11 & 0.999999999975402 \tabularnewline
181 & 1.45932902754383e-11 & 2.91865805508766e-11 & 0.999999999985407 \tabularnewline
182 & 1.15234215050994e-11 & 2.30468430101988e-11 & 0.999999999988477 \tabularnewline
183 & 6.56151948756303e-12 & 1.31230389751261e-11 & 0.999999999993438 \tabularnewline
184 & 3.63412610153742e-12 & 7.26825220307484e-12 & 0.999999999996366 \tabularnewline
185 & 2.16493590926467e-12 & 4.32987181852934e-12 & 0.999999999997835 \tabularnewline
186 & 1.48423929084853e-12 & 2.96847858169707e-12 & 0.999999999998516 \tabularnewline
187 & 8.11489704821325e-13 & 1.62297940964265e-12 & 0.999999999999189 \tabularnewline
188 & 5.15743271668134e-13 & 1.03148654333627e-12 & 0.999999999999484 \tabularnewline
189 & 3.18578375969218e-13 & 6.37156751938437e-13 & 0.999999999999681 \tabularnewline
190 & 0.999999999983001 & 3.39986686149018e-11 & 1.69993343074509e-11 \tabularnewline
191 & 0.999999999999908 & 1.83804702869191e-13 & 9.19023514345953e-14 \tabularnewline
192 & 0.999999999999809 & 3.81808567901656e-13 & 1.90904283950828e-13 \tabularnewline
193 & 0.999999999999708 & 5.83294122063292e-13 & 2.91647061031646e-13 \tabularnewline
194 & 0.999999999999414 & 1.17212108481968e-12 & 5.86060542409839e-13 \tabularnewline
195 & 0.999999999998789 & 2.42136070047239e-12 & 1.21068035023619e-12 \tabularnewline
196 & 0.999999999997549 & 4.90299026006725e-12 & 2.45149513003363e-12 \tabularnewline
197 & 0.999999999995053 & 9.89392163420822e-12 & 4.94696081710411e-12 \tabularnewline
198 & 0.999999999991 & 1.79997080735678e-11 & 8.99985403678392e-12 \tabularnewline
199 & 0.999999999993084 & 1.38313749377644e-11 & 6.91568746888219e-12 \tabularnewline
200 & 0.999999999986362 & 2.72766626177019e-11 & 1.3638331308851e-11 \tabularnewline
201 & 0.999999999973988 & 5.2023824701257e-11 & 2.60119123506285e-11 \tabularnewline
202 & 0.999999999954752 & 9.04970368197149e-11 & 4.52485184098574e-11 \tabularnewline
203 & 0.999999999917709 & 1.64580991281427e-10 & 8.22904956407134e-11 \tabularnewline
204 & 0.999999999859814 & 2.80372649788119e-10 & 1.4018632489406e-10 \tabularnewline
205 & 0.999999999750137 & 4.99726824384226e-10 & 2.49863412192113e-10 \tabularnewline
206 & 0.999999999565085 & 8.69829062466074e-10 & 4.34914531233037e-10 \tabularnewline
207 & 0.999999999158456 & 1.68308884698356e-09 & 8.41544423491778e-10 \tabularnewline
208 & 0.99999999845341 & 3.09317991323485e-09 & 1.54658995661742e-09 \tabularnewline
209 & 0.999999999764034 & 4.71931741328221e-10 & 2.35965870664111e-10 \tabularnewline
210 & 0.999999999585831 & 8.28337403077304e-10 & 4.14168701538652e-10 \tabularnewline
211 & 0.999999999750339 & 4.99322173387272e-10 & 2.49661086693636e-10 \tabularnewline
212 & 0.999999999510443 & 9.79113468745791e-10 & 4.89556734372895e-10 \tabularnewline
213 & 0.999999999062572 & 1.87485579578994e-09 & 9.3742789789497e-10 \tabularnewline
214 & 0.999999998311304 & 3.37739239562035e-09 & 1.68869619781018e-09 \tabularnewline
215 & 0.999999997681565 & 4.63687076729448e-09 & 2.31843538364724e-09 \tabularnewline
216 & 0.999999996685784 & 6.62843160152372e-09 & 3.31421580076186e-09 \tabularnewline
217 & 0.999999993816295 & 1.2367409218248e-08 & 6.18370460912402e-09 \tabularnewline
218 & 0.999999988976813 & 2.20463737783418e-08 & 1.10231868891709e-08 \tabularnewline
219 & 0.999999981390395 & 3.7219209546109e-08 & 1.86096047730545e-08 \tabularnewline
220 & 0.99999999324666 & 1.35066798506256e-08 & 6.7533399253128e-09 \tabularnewline
221 & 0.99999998916005 & 2.16798997158896e-08 & 1.08399498579448e-08 \tabularnewline
222 & 0.999999980657963 & 3.86840744078814e-08 & 1.93420372039407e-08 \tabularnewline
223 & 0.999999998590005 & 2.81998949626943e-09 & 1.40999474813471e-09 \tabularnewline
224 & 0.99999999754756 & 4.90488015734479e-09 & 2.4524400786724e-09 \tabularnewline
225 & 0.999999996346056 & 7.30788719588178e-09 & 3.65394359794089e-09 \tabularnewline
226 & 0.999999992629846 & 1.4740308639694e-08 & 7.370154319847e-09 \tabularnewline
227 & 0.999999991190583 & 1.76188333289588e-08 & 8.80941666447938e-09 \tabularnewline
228 & 0.999999982318627 & 3.53627457121684e-08 & 1.76813728560842e-08 \tabularnewline
229 & 0.99999997210609 & 5.57878189508858e-08 & 2.78939094754429e-08 \tabularnewline
230 & 0.999999953860597 & 9.22788055026688e-08 & 4.61394027513344e-08 \tabularnewline
231 & 0.999999968663438 & 6.2673123230663e-08 & 3.13365616153315e-08 \tabularnewline
232 & 0.999999976484546 & 4.70309070991497e-08 & 2.35154535495748e-08 \tabularnewline
233 & 0.999999953418034 & 9.31639312871363e-08 & 4.65819656435681e-08 \tabularnewline
234 & 0.999999918255004 & 1.63489991671927e-07 & 8.17449958359633e-08 \tabularnewline
235 & 0.99999991667388 & 1.66652240786921e-07 & 8.33261203934604e-08 \tabularnewline
236 & 0.999999845956007 & 3.08087986240513e-07 & 1.54043993120257e-07 \tabularnewline
237 & 0.999999722695681 & 5.5460863776044e-07 & 2.7730431888022e-07 \tabularnewline
238 & 0.999999530802295 & 9.38395409137933e-07 & 4.69197704568967e-07 \tabularnewline
239 & 0.999999165869859 & 1.66826028093961e-06 & 8.34130140469806e-07 \tabularnewline
240 & 0.999998593720253 & 2.81255949443201e-06 & 1.40627974721601e-06 \tabularnewline
241 & 0.999998727712399 & 2.54457520147726e-06 & 1.27228760073863e-06 \tabularnewline
242 & 0.999997647648471 & 4.70470305880553e-06 & 2.35235152940277e-06 \tabularnewline
243 & 0.999995883099367 & 8.23380126594203e-06 & 4.11690063297102e-06 \tabularnewline
244 & 0.999992179061221 & 1.5641877557644e-05 & 7.82093877882198e-06 \tabularnewline
245 & 0.999999971244798 & 5.75104035720905e-08 & 2.87552017860453e-08 \tabularnewline
246 & 0.999999939091346 & 1.21817308388679e-07 & 6.09086541943395e-08 \tabularnewline
247 & 0.999999863979744 & 2.72040512804946e-07 & 1.36020256402473e-07 \tabularnewline
248 & 0.999999700176346 & 5.99647308395106e-07 & 2.99823654197553e-07 \tabularnewline
249 & 0.999999382845459 & 1.23430908262952e-06 & 6.1715454131476e-07 \tabularnewline
250 & 0.999998734885862 & 2.53022827539286e-06 & 1.26511413769643e-06 \tabularnewline
251 & 0.999997445027851 & 5.10994429797641e-06 & 2.55497214898821e-06 \tabularnewline
252 & 0.999995568936514 & 8.86212697168141e-06 & 4.43106348584071e-06 \tabularnewline
253 & 0.999991017522542 & 1.79649549155099e-05 & 8.98247745775497e-06 \tabularnewline
254 & 0.999982401451904 & 3.51970961916465e-05 & 1.75985480958233e-05 \tabularnewline
255 & 0.999966760620225 & 6.64787595496893e-05 & 3.32393797748447e-05 \tabularnewline
256 & 0.999998943139833 & 2.11372033396072e-06 & 1.05686016698036e-06 \tabularnewline
257 & 0.999997756404417 & 4.48719116610394e-06 & 2.24359558305197e-06 \tabularnewline
258 & 0.999997786092686 & 4.42781462833377e-06 & 2.21390731416688e-06 \tabularnewline
259 & 0.999997161290868 & 5.67741826321299e-06 & 2.8387091316065e-06 \tabularnewline
260 & 0.99999375762107 & 1.24847578600808e-05 & 6.24237893004041e-06 \tabularnewline
261 & 0.999988756258745 & 2.24874825104442e-05 & 1.12437412552221e-05 \tabularnewline
262 & 0.999984896286952 & 3.02074260952123e-05 & 1.51037130476062e-05 \tabularnewline
263 & 0.999972916173798 & 5.41676524032382e-05 & 2.70838262016191e-05 \tabularnewline
264 & 0.999950545983196 & 9.89080336075526e-05 & 4.94540168037763e-05 \tabularnewline
265 & 0.999895379592006 & 0.000209240815987545 & 0.000104620407993772 \tabularnewline
266 & 0.999767264817031 & 0.000465470365937972 & 0.000232735182968986 \tabularnewline
267 & 0.99957750858761 & 0.000844982824780735 & 0.000422491412390368 \tabularnewline
268 & 0.999408034430013 & 0.00118393113997323 & 0.000591965569986615 \tabularnewline
269 & 0.998769355478043 & 0.00246128904391353 & 0.00123064452195677 \tabularnewline
270 & 0.997408546553596 & 0.00518290689280706 & 0.00259145344640353 \tabularnewline
271 & 0.996256728928264 & 0.00748654214347101 & 0.00374327107173551 \tabularnewline
272 & 0.992323285304219 & 0.0153534293915626 & 0.00767671469578128 \tabularnewline
273 & 0.98581810306458 & 0.0283637938708398 & 0.0141818969354199 \tabularnewline
274 & 0.979369263741417 & 0.0412614725171666 & 0.0206307362585833 \tabularnewline
275 & 0.991833309703428 & 0.0163333805931437 & 0.00816669029657187 \tabularnewline
276 & 0.981666655338289 & 0.036666689323423 & 0.0183333446617115 \tabularnewline
277 & 0.96098284409064 & 0.0780343118187196 & 0.0390171559093598 \tabularnewline
278 & 0.94923880732803 & 0.101522385343941 & 0.0507611926719705 \tabularnewline
279 & 0.930227247714419 & 0.139545504571162 & 0.069772752285581 \tabularnewline
280 & 0.85344604614176 & 0.29310790771648 & 0.14655395385824 \tabularnewline
281 & 0.876979095300214 & 0.246041809399572 & 0.123020904699786 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153487&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]0.183461542699585[/C][C]0.366923085399169[/C][C]0.816538457300416[/C][/ROW]
[ROW][C]9[/C][C]0.0812019779911255[/C][C]0.162403955982251[/C][C]0.918798022008875[/C][/ROW]
[ROW][C]10[/C][C]0.0328460720991429[/C][C]0.0656921441982858[/C][C]0.967153927900857[/C][/ROW]
[ROW][C]11[/C][C]0.0166040402468569[/C][C]0.0332080804937139[/C][C]0.983395959753143[/C][/ROW]
[ROW][C]12[/C][C]0.00614868470167386[/C][C]0.0122973694033477[/C][C]0.993851315298326[/C][/ROW]
[ROW][C]13[/C][C]0.0048791563618016[/C][C]0.00975831272360321[/C][C]0.995120843638198[/C][/ROW]
[ROW][C]14[/C][C]0.00652825640459833[/C][C]0.0130565128091967[/C][C]0.993471743595402[/C][/ROW]
[ROW][C]15[/C][C]0.00284110304410411[/C][C]0.00568220608820821[/C][C]0.997158896955896[/C][/ROW]
[ROW][C]16[/C][C]0.00704300280226538[/C][C]0.0140860056045308[/C][C]0.992956997197735[/C][/ROW]
[ROW][C]17[/C][C]0.00343505037018698[/C][C]0.00687010074037396[/C][C]0.996564949629813[/C][/ROW]
[ROW][C]18[/C][C]0.00462355917033537[/C][C]0.00924711834067075[/C][C]0.995376440829665[/C][/ROW]
[ROW][C]19[/C][C]0.00235884535686144[/C][C]0.00471769071372288[/C][C]0.997641154643139[/C][/ROW]
[ROW][C]20[/C][C]0.00138345995121707[/C][C]0.00276691990243413[/C][C]0.998616540048783[/C][/ROW]
[ROW][C]21[/C][C]0.000638216457750045[/C][C]0.00127643291550009[/C][C]0.99936178354225[/C][/ROW]
[ROW][C]22[/C][C]0.0003256796881748[/C][C]0.000651359376349599[/C][C]0.999674320311825[/C][/ROW]
[ROW][C]23[/C][C]0.000145238426816273[/C][C]0.000290476853632545[/C][C]0.999854761573184[/C][/ROW]
[ROW][C]24[/C][C]6.62097441983898e-05[/C][C]0.00013241948839678[/C][C]0.999933790255802[/C][/ROW]
[ROW][C]25[/C][C]2.94814644962696e-05[/C][C]5.89629289925391e-05[/C][C]0.999970518535504[/C][/ROW]
[ROW][C]26[/C][C]2.47987462810685e-05[/C][C]4.9597492562137e-05[/C][C]0.999975201253719[/C][/ROW]
[ROW][C]27[/C][C]1.55198766085377e-05[/C][C]3.10397532170754e-05[/C][C]0.999984480123391[/C][/ROW]
[ROW][C]28[/C][C]6.87804762606047e-06[/C][C]1.37560952521209e-05[/C][C]0.999993121952374[/C][/ROW]
[ROW][C]29[/C][C]3.26511936587058e-06[/C][C]6.53023873174116e-06[/C][C]0.999996734880634[/C][/ROW]
[ROW][C]30[/C][C]4.7332919539787e-06[/C][C]9.46658390795739e-06[/C][C]0.999995266708046[/C][/ROW]
[ROW][C]31[/C][C]1.27104916977564e-05[/C][C]2.54209833955128e-05[/C][C]0.999987289508302[/C][/ROW]
[ROW][C]32[/C][C]1.10044138049752e-05[/C][C]2.20088276099504e-05[/C][C]0.999988995586195[/C][/ROW]
[ROW][C]33[/C][C]1.4063048520595e-05[/C][C]2.81260970411901e-05[/C][C]0.999985936951479[/C][/ROW]
[ROW][C]34[/C][C]6.62844008254093e-06[/C][C]1.32568801650819e-05[/C][C]0.999993371559917[/C][/ROW]
[ROW][C]35[/C][C]9.61646199383138e-06[/C][C]1.92329239876628e-05[/C][C]0.999990383538006[/C][/ROW]
[ROW][C]36[/C][C]4.58415503461273e-06[/C][C]9.16831006922546e-06[/C][C]0.999995415844965[/C][/ROW]
[ROW][C]37[/C][C]2.20081075528034e-06[/C][C]4.40162151056068e-06[/C][C]0.999997799189245[/C][/ROW]
[ROW][C]38[/C][C]1.07788254532671e-06[/C][C]2.15576509065342e-06[/C][C]0.999998922117455[/C][/ROW]
[ROW][C]39[/C][C]5.04156618437595e-07[/C][C]1.00831323687519e-06[/C][C]0.999999495843382[/C][/ROW]
[ROW][C]40[/C][C]2.46091321423713e-07[/C][C]4.92182642847426e-07[/C][C]0.999999753908679[/C][/ROW]
[ROW][C]41[/C][C]1.17311181728997e-07[/C][C]2.34622363457995e-07[/C][C]0.999999882688818[/C][/ROW]
[ROW][C]42[/C][C]1.63783737590145e-07[/C][C]3.27567475180291e-07[/C][C]0.999999836216262[/C][/ROW]
[ROW][C]43[/C][C]1.8470591240506e-07[/C][C]3.69411824810121e-07[/C][C]0.999999815294088[/C][/ROW]
[ROW][C]44[/C][C]1.14252899898351e-07[/C][C]2.28505799796701e-07[/C][C]0.9999998857471[/C][/ROW]
[ROW][C]45[/C][C]5.89169494286138e-08[/C][C]1.17833898857228e-07[/C][C]0.999999941083051[/C][/ROW]
[ROW][C]46[/C][C]2.86425993393221e-08[/C][C]5.72851986786442e-08[/C][C]0.999999971357401[/C][/ROW]
[ROW][C]47[/C][C]1.32441018857326e-08[/C][C]2.64882037714652e-08[/C][C]0.999999986755898[/C][/ROW]
[ROW][C]48[/C][C]1.45044393639254e-08[/C][C]2.90088787278509e-08[/C][C]0.999999985495561[/C][/ROW]
[ROW][C]49[/C][C]8.0161383935813e-09[/C][C]1.60322767871626e-08[/C][C]0.999999991983862[/C][/ROW]
[ROW][C]50[/C][C]1.35386321596281e-08[/C][C]2.70772643192563e-08[/C][C]0.999999986461368[/C][/ROW]
[ROW][C]51[/C][C]2.3621018426278e-08[/C][C]4.7242036852556e-08[/C][C]0.999999976378982[/C][/ROW]
[ROW][C]52[/C][C]8.33842908465437e-08[/C][C]1.66768581693087e-07[/C][C]0.999999916615709[/C][/ROW]
[ROW][C]53[/C][C]9.03847724618066e-08[/C][C]1.80769544923613e-07[/C][C]0.999999909615228[/C][/ROW]
[ROW][C]54[/C][C]1.01491644920966e-07[/C][C]2.02983289841932e-07[/C][C]0.999999898508355[/C][/ROW]
[ROW][C]55[/C][C]1.15189736089215e-07[/C][C]2.30379472178429e-07[/C][C]0.999999884810264[/C][/ROW]
[ROW][C]56[/C][C]6.17868760066431e-08[/C][C]1.23573752013286e-07[/C][C]0.999999938213124[/C][/ROW]
[ROW][C]57[/C][C]5.99931585204606e-08[/C][C]1.19986317040921e-07[/C][C]0.999999940006841[/C][/ROW]
[ROW][C]58[/C][C]6.62405582825199e-08[/C][C]1.3248111656504e-07[/C][C]0.999999933759442[/C][/ROW]
[ROW][C]59[/C][C]6.63687591238768e-08[/C][C]1.32737518247754e-07[/C][C]0.999999933631241[/C][/ROW]
[ROW][C]60[/C][C]4.42209157208116e-08[/C][C]8.84418314416232e-08[/C][C]0.999999955779084[/C][/ROW]
[ROW][C]61[/C][C]3.68876785925711e-08[/C][C]7.37753571851423e-08[/C][C]0.999999963112321[/C][/ROW]
[ROW][C]62[/C][C]2.27836952853082e-08[/C][C]4.55673905706164e-08[/C][C]0.999999977216305[/C][/ROW]
[ROW][C]63[/C][C]1.74525568174246e-08[/C][C]3.49051136348493e-08[/C][C]0.999999982547443[/C][/ROW]
[ROW][C]64[/C][C]1.01174423894568e-08[/C][C]2.02348847789135e-08[/C][C]0.999999989882558[/C][/ROW]
[ROW][C]65[/C][C]7.89013741699618e-09[/C][C]1.57802748339924e-08[/C][C]0.999999992109863[/C][/ROW]
[ROW][C]66[/C][C]4.68985557475563e-09[/C][C]9.37971114951125e-09[/C][C]0.999999995310144[/C][/ROW]
[ROW][C]67[/C][C]2.51109685349118e-09[/C][C]5.02219370698235e-09[/C][C]0.999999997488903[/C][/ROW]
[ROW][C]68[/C][C]2.01696278446128e-09[/C][C]4.03392556892255e-09[/C][C]0.999999997983037[/C][/ROW]
[ROW][C]69[/C][C]1.23718547391017e-09[/C][C]2.47437094782034e-09[/C][C]0.999999998762815[/C][/ROW]
[ROW][C]70[/C][C]6.20457281409444e-10[/C][C]1.24091456281889e-09[/C][C]0.999999999379543[/C][/ROW]
[ROW][C]71[/C][C]5.67199576956134e-09[/C][C]1.13439915391227e-08[/C][C]0.999999994328004[/C][/ROW]
[ROW][C]72[/C][C]3.15025709079228e-09[/C][C]6.30051418158455e-09[/C][C]0.999999996849743[/C][/ROW]
[ROW][C]73[/C][C]1.88149150825133e-09[/C][C]3.76298301650267e-09[/C][C]0.999999998118508[/C][/ROW]
[ROW][C]74[/C][C]9.53281046091409e-10[/C][C]1.90656209218282e-09[/C][C]0.999999999046719[/C][/ROW]
[ROW][C]75[/C][C]7.84689391143719e-10[/C][C]1.56937878228744e-09[/C][C]0.999999999215311[/C][/ROW]
[ROW][C]76[/C][C]3.17471565210302e-08[/C][C]6.34943130420603e-08[/C][C]0.999999968252843[/C][/ROW]
[ROW][C]77[/C][C]1.83735714446295e-08[/C][C]3.6747142889259e-08[/C][C]0.999999981626429[/C][/ROW]
[ROW][C]78[/C][C]9.97427279714762e-09[/C][C]1.99485455942952e-08[/C][C]0.999999990025727[/C][/ROW]
[ROW][C]79[/C][C]8.69647728077212e-09[/C][C]1.73929545615442e-08[/C][C]0.999999991303523[/C][/ROW]
[ROW][C]80[/C][C]4.67009362763648e-09[/C][C]9.34018725527295e-09[/C][C]0.999999995329906[/C][/ROW]
[ROW][C]81[/C][C]2.48585421276244e-09[/C][C]4.97170842552489e-09[/C][C]0.999999997514146[/C][/ROW]
[ROW][C]82[/C][C]1.30610411418304e-09[/C][C]2.61220822836608e-09[/C][C]0.999999998693896[/C][/ROW]
[ROW][C]83[/C][C]6.90736946646019e-10[/C][C]1.38147389329204e-09[/C][C]0.999999999309263[/C][/ROW]
[ROW][C]84[/C][C]3.56754877325932e-10[/C][C]7.13509754651863e-10[/C][C]0.999999999643245[/C][/ROW]
[ROW][C]85[/C][C]2.01089015702056e-10[/C][C]4.02178031404112e-10[/C][C]0.999999999798911[/C][/ROW]
[ROW][C]86[/C][C]1.21944861364642e-10[/C][C]2.43889722729284e-10[/C][C]0.999999999878055[/C][/ROW]
[ROW][C]87[/C][C]1.05436337167404e-10[/C][C]2.10872674334808e-10[/C][C]0.999999999894564[/C][/ROW]
[ROW][C]88[/C][C]5.61323519762667e-11[/C][C]1.12264703952533e-10[/C][C]0.999999999943868[/C][/ROW]
[ROW][C]89[/C][C]3.29796427165846e-11[/C][C]6.59592854331691e-11[/C][C]0.99999999996702[/C][/ROW]
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[ROW][C]229[/C][C]0.99999997210609[/C][C]5.57878189508858e-08[/C][C]2.78939094754429e-08[/C][/ROW]
[ROW][C]230[/C][C]0.999999953860597[/C][C]9.22788055026688e-08[/C][C]4.61394027513344e-08[/C][/ROW]
[ROW][C]231[/C][C]0.999999968663438[/C][C]6.2673123230663e-08[/C][C]3.13365616153315e-08[/C][/ROW]
[ROW][C]232[/C][C]0.999999976484546[/C][C]4.70309070991497e-08[/C][C]2.35154535495748e-08[/C][/ROW]
[ROW][C]233[/C][C]0.999999953418034[/C][C]9.31639312871363e-08[/C][C]4.65819656435681e-08[/C][/ROW]
[ROW][C]234[/C][C]0.999999918255004[/C][C]1.63489991671927e-07[/C][C]8.17449958359633e-08[/C][/ROW]
[ROW][C]235[/C][C]0.99999991667388[/C][C]1.66652240786921e-07[/C][C]8.33261203934604e-08[/C][/ROW]
[ROW][C]236[/C][C]0.999999845956007[/C][C]3.08087986240513e-07[/C][C]1.54043993120257e-07[/C][/ROW]
[ROW][C]237[/C][C]0.999999722695681[/C][C]5.5460863776044e-07[/C][C]2.7730431888022e-07[/C][/ROW]
[ROW][C]238[/C][C]0.999999530802295[/C][C]9.38395409137933e-07[/C][C]4.69197704568967e-07[/C][/ROW]
[ROW][C]239[/C][C]0.999999165869859[/C][C]1.66826028093961e-06[/C][C]8.34130140469806e-07[/C][/ROW]
[ROW][C]240[/C][C]0.999998593720253[/C][C]2.81255949443201e-06[/C][C]1.40627974721601e-06[/C][/ROW]
[ROW][C]241[/C][C]0.999998727712399[/C][C]2.54457520147726e-06[/C][C]1.27228760073863e-06[/C][/ROW]
[ROW][C]242[/C][C]0.999997647648471[/C][C]4.70470305880553e-06[/C][C]2.35235152940277e-06[/C][/ROW]
[ROW][C]243[/C][C]0.999995883099367[/C][C]8.23380126594203e-06[/C][C]4.11690063297102e-06[/C][/ROW]
[ROW][C]244[/C][C]0.999992179061221[/C][C]1.5641877557644e-05[/C][C]7.82093877882198e-06[/C][/ROW]
[ROW][C]245[/C][C]0.999999971244798[/C][C]5.75104035720905e-08[/C][C]2.87552017860453e-08[/C][/ROW]
[ROW][C]246[/C][C]0.999999939091346[/C][C]1.21817308388679e-07[/C][C]6.09086541943395e-08[/C][/ROW]
[ROW][C]247[/C][C]0.999999863979744[/C][C]2.72040512804946e-07[/C][C]1.36020256402473e-07[/C][/ROW]
[ROW][C]248[/C][C]0.999999700176346[/C][C]5.99647308395106e-07[/C][C]2.99823654197553e-07[/C][/ROW]
[ROW][C]249[/C][C]0.999999382845459[/C][C]1.23430908262952e-06[/C][C]6.1715454131476e-07[/C][/ROW]
[ROW][C]250[/C][C]0.999998734885862[/C][C]2.53022827539286e-06[/C][C]1.26511413769643e-06[/C][/ROW]
[ROW][C]251[/C][C]0.999997445027851[/C][C]5.10994429797641e-06[/C][C]2.55497214898821e-06[/C][/ROW]
[ROW][C]252[/C][C]0.999995568936514[/C][C]8.86212697168141e-06[/C][C]4.43106348584071e-06[/C][/ROW]
[ROW][C]253[/C][C]0.999991017522542[/C][C]1.79649549155099e-05[/C][C]8.98247745775497e-06[/C][/ROW]
[ROW][C]254[/C][C]0.999982401451904[/C][C]3.51970961916465e-05[/C][C]1.75985480958233e-05[/C][/ROW]
[ROW][C]255[/C][C]0.999966760620225[/C][C]6.64787595496893e-05[/C][C]3.32393797748447e-05[/C][/ROW]
[ROW][C]256[/C][C]0.999998943139833[/C][C]2.11372033396072e-06[/C][C]1.05686016698036e-06[/C][/ROW]
[ROW][C]257[/C][C]0.999997756404417[/C][C]4.48719116610394e-06[/C][C]2.24359558305197e-06[/C][/ROW]
[ROW][C]258[/C][C]0.999997786092686[/C][C]4.42781462833377e-06[/C][C]2.21390731416688e-06[/C][/ROW]
[ROW][C]259[/C][C]0.999997161290868[/C][C]5.67741826321299e-06[/C][C]2.8387091316065e-06[/C][/ROW]
[ROW][C]260[/C][C]0.99999375762107[/C][C]1.24847578600808e-05[/C][C]6.24237893004041e-06[/C][/ROW]
[ROW][C]261[/C][C]0.999988756258745[/C][C]2.24874825104442e-05[/C][C]1.12437412552221e-05[/C][/ROW]
[ROW][C]262[/C][C]0.999984896286952[/C][C]3.02074260952123e-05[/C][C]1.51037130476062e-05[/C][/ROW]
[ROW][C]263[/C][C]0.999972916173798[/C][C]5.41676524032382e-05[/C][C]2.70838262016191e-05[/C][/ROW]
[ROW][C]264[/C][C]0.999950545983196[/C][C]9.89080336075526e-05[/C][C]4.94540168037763e-05[/C][/ROW]
[ROW][C]265[/C][C]0.999895379592006[/C][C]0.000209240815987545[/C][C]0.000104620407993772[/C][/ROW]
[ROW][C]266[/C][C]0.999767264817031[/C][C]0.000465470365937972[/C][C]0.000232735182968986[/C][/ROW]
[ROW][C]267[/C][C]0.99957750858761[/C][C]0.000844982824780735[/C][C]0.000422491412390368[/C][/ROW]
[ROW][C]268[/C][C]0.999408034430013[/C][C]0.00118393113997323[/C][C]0.000591965569986615[/C][/ROW]
[ROW][C]269[/C][C]0.998769355478043[/C][C]0.00246128904391353[/C][C]0.00123064452195677[/C][/ROW]
[ROW][C]270[/C][C]0.997408546553596[/C][C]0.00518290689280706[/C][C]0.00259145344640353[/C][/ROW]
[ROW][C]271[/C][C]0.996256728928264[/C][C]0.00748654214347101[/C][C]0.00374327107173551[/C][/ROW]
[ROW][C]272[/C][C]0.992323285304219[/C][C]0.0153534293915626[/C][C]0.00767671469578128[/C][/ROW]
[ROW][C]273[/C][C]0.98581810306458[/C][C]0.0283637938708398[/C][C]0.0141818969354199[/C][/ROW]
[ROW][C]274[/C][C]0.979369263741417[/C][C]0.0412614725171666[/C][C]0.0206307362585833[/C][/ROW]
[ROW][C]275[/C][C]0.991833309703428[/C][C]0.0163333805931437[/C][C]0.00816669029657187[/C][/ROW]
[ROW][C]276[/C][C]0.981666655338289[/C][C]0.036666689323423[/C][C]0.0183333446617115[/C][/ROW]
[ROW][C]277[/C][C]0.96098284409064[/C][C]0.0780343118187196[/C][C]0.0390171559093598[/C][/ROW]
[ROW][C]278[/C][C]0.94923880732803[/C][C]0.101522385343941[/C][C]0.0507611926719705[/C][/ROW]
[ROW][C]279[/C][C]0.930227247714419[/C][C]0.139545504571162[/C][C]0.069772752285581[/C][/ROW]
[ROW][C]280[/C][C]0.85344604614176[/C][C]0.29310790771648[/C][C]0.14655395385824[/C][/ROW]
[ROW][C]281[/C][C]0.876979095300214[/C][C]0.246041809399572[/C][C]0.123020904699786[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153487&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153487&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
80.1834615426995850.3669230853991690.816538457300416
90.08120197799112550.1624039559822510.918798022008875
100.03284607209914290.06569214419828580.967153927900857
110.01660404024685690.03320808049371390.983395959753143
120.006148684701673860.01229736940334770.993851315298326
130.00487915636180160.009758312723603210.995120843638198
140.006528256404598330.01305651280919670.993471743595402
150.002841103044104110.005682206088208210.997158896955896
160.007043002802265380.01408600560453080.992956997197735
170.003435050370186980.006870100740373960.996564949629813
180.004623559170335370.009247118340670750.995376440829665
190.002358845356861440.004717690713722880.997641154643139
200.001383459951217070.002766919902434130.998616540048783
210.0006382164577500450.001276432915500090.99936178354225
220.00032567968817480.0006513593763495990.999674320311825
230.0001452384268162730.0002904768536325450.999854761573184
246.62097441983898e-050.000132419488396780.999933790255802
252.94814644962696e-055.89629289925391e-050.999970518535504
262.47987462810685e-054.9597492562137e-050.999975201253719
271.55198766085377e-053.10397532170754e-050.999984480123391
286.87804762606047e-061.37560952521209e-050.999993121952374
293.26511936587058e-066.53023873174116e-060.999996734880634
304.7332919539787e-069.46658390795739e-060.999995266708046
311.27104916977564e-052.54209833955128e-050.999987289508302
321.10044138049752e-052.20088276099504e-050.999988995586195
331.4063048520595e-052.81260970411901e-050.999985936951479
346.62844008254093e-061.32568801650819e-050.999993371559917
359.61646199383138e-061.92329239876628e-050.999990383538006
364.58415503461273e-069.16831006922546e-060.999995415844965
372.20081075528034e-064.40162151056068e-060.999997799189245
381.07788254532671e-062.15576509065342e-060.999998922117455
395.04156618437595e-071.00831323687519e-060.999999495843382
402.46091321423713e-074.92182642847426e-070.999999753908679
411.17311181728997e-072.34622363457995e-070.999999882688818
421.63783737590145e-073.27567475180291e-070.999999836216262
431.8470591240506e-073.69411824810121e-070.999999815294088
441.14252899898351e-072.28505799796701e-070.9999998857471
455.89169494286138e-081.17833898857228e-070.999999941083051
462.86425993393221e-085.72851986786442e-080.999999971357401
471.32441018857326e-082.64882037714652e-080.999999986755898
481.45044393639254e-082.90088787278509e-080.999999985495561
498.0161383935813e-091.60322767871626e-080.999999991983862
501.35386321596281e-082.70772643192563e-080.999999986461368
512.3621018426278e-084.7242036852556e-080.999999976378982
528.33842908465437e-081.66768581693087e-070.999999916615709
539.03847724618066e-081.80769544923613e-070.999999909615228
541.01491644920966e-072.02983289841932e-070.999999898508355
551.15189736089215e-072.30379472178429e-070.999999884810264
566.17868760066431e-081.23573752013286e-070.999999938213124
575.99931585204606e-081.19986317040921e-070.999999940006841
586.62405582825199e-081.3248111656504e-070.999999933759442
596.63687591238768e-081.32737518247754e-070.999999933631241
604.42209157208116e-088.84418314416232e-080.999999955779084
613.68876785925711e-087.37753571851423e-080.999999963112321
622.27836952853082e-084.55673905706164e-080.999999977216305
631.74525568174246e-083.49051136348493e-080.999999982547443
641.01174423894568e-082.02348847789135e-080.999999989882558
657.89013741699618e-091.57802748339924e-080.999999992109863
664.68985557475563e-099.37971114951125e-090.999999995310144
672.51109685349118e-095.02219370698235e-090.999999997488903
682.01696278446128e-094.03392556892255e-090.999999997983037
691.23718547391017e-092.47437094782034e-090.999999998762815
706.20457281409444e-101.24091456281889e-090.999999999379543
715.67199576956134e-091.13439915391227e-080.999999994328004
723.15025709079228e-096.30051418158455e-090.999999996849743
731.88149150825133e-093.76298301650267e-090.999999998118508
749.53281046091409e-101.90656209218282e-090.999999999046719
757.84689391143719e-101.56937878228744e-090.999999999215311
763.17471565210302e-086.34943130420603e-080.999999968252843
771.83735714446295e-083.6747142889259e-080.999999981626429
789.97427279714762e-091.99485455942952e-080.999999990025727
798.69647728077212e-091.73929545615442e-080.999999991303523
804.67009362763648e-099.34018725527295e-090.999999995329906
812.48585421276244e-094.97170842552489e-090.999999997514146
821.30610411418304e-092.61220822836608e-090.999999998693896
836.90736946646019e-101.38147389329204e-090.999999999309263
843.56754877325932e-107.13509754651863e-100.999999999643245
852.01089015702056e-104.02178031404112e-100.999999999798911
861.21944861364642e-102.43889722729284e-100.999999999878055
871.05436337167404e-102.10872674334808e-100.999999999894564
885.61323519762667e-111.12264703952533e-100.999999999943868
893.29796427165846e-116.59592854331691e-110.99999999996702
903.34913736021426e-106.69827472042853e-100.999999999665086
911.80643557007848e-103.61287114015695e-100.999999999819356
921.20181905439176e-102.40363810878352e-100.999999999879818
936.41507479186401e-111.2830149583728e-100.999999999935849
943.61459130174754e-117.22918260349508e-110.999999999963854
952.08636998446574e-114.17273996893148e-110.999999999979136
962.21370472786155e-114.4274094557231e-110.999999999977863
971.21041115637854e-112.42082231275708e-110.999999999987896
988.93585222990428e-121.78717044598086e-110.999999999991064
994.75083392788618e-129.50166785577235e-120.999999999995249
1002.48595229901429e-124.97190459802858e-120.999999999997514
1011.23697923225213e-122.47395846450427e-120.999999999998763
1027.37811828330377e-131.47562365666075e-120.999999999999262
1035.1107485485347e-131.02214970970694e-120.999999999999489
1040.004154462772513670.008308925545027340.995845537227486
1050.003168136332798370.006336272665596740.996831863667202
1060.002521634297728830.005043268595457650.997478365702271
1070.001909282600167620.003818565200335240.998090717399832
1080.001445065115000280.002890130230000560.998554934885
1090.001082027268676710.002164054537353420.998917972731323
1100.0008426804608899150.001685360921779830.99915731953911
1110.0006361096637537640.001272219327507530.999363890336246
1120.0004719568917585960.0009439137835171930.999528043108241
1130.0003493054048744260.0006986108097488520.999650694595126
1140.0002516817025324040.0005033634050648080.999748318297468
1150.0001856299134023240.0003712598268046470.999814370086598
1160.0001317881212729610.0002635762425459210.999868211878727
1170.0001159436575353940.0002318873150707880.999884056342465
1180.0007465083747731820.001493016749546360.999253491625227
1190.0006116275424650930.001223255084930190.999388372457535
1200.0005004594100565520.00100091882011310.999499540589944
1210.0004588454730363010.0009176909460726030.999541154526964
1220.000393081649599020.0007861632991980390.999606918350401
1230.0003017710084623480.0006035420169246950.999698228991538
1240.0002194511905850950.000438902381170190.999780548809415
1250.0001708988270712470.0003417976541424940.999829101172929
1260.0001219461787334810.0002438923574669630.999878053821266
1279.19822244762276e-050.0001839644489524550.999908017775524
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1304.32189746356461e-058.64379492712921e-050.999956781025364
1313.01517470055655e-056.03034940111309e-050.999969848252994
1322.16569532345396e-054.33139064690793e-050.999978343046765
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1341.10439668389961e-052.20879336779923e-050.999988956033161
1357.6971033272671e-061.53942066545342e-050.999992302896673
1365.68523290603194e-061.13704658120639e-050.999994314767094
1374.5130325477882e-069.02606509557639e-060.999995486967452
1383.43099213391197e-066.86198426782394e-060.999996569007866
1392.27782578809086e-064.55565157618173e-060.999997722174212
1401.69064034900123e-063.38128069800245e-060.999998309359651
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1428.84810739357787e-071.76962147871557e-060.999999115189261
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1441.6364099664148e-063.27281993282959e-060.999998363590034
1451.31551723913845e-062.6310344782769e-060.999998684482761
1469.89723632739077e-071.97944726547815e-060.999999010276367
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1484.75334737998468e-079.50669475996936e-070.999999524665262
1493.12102775552271e-076.24205551104543e-070.999999687897224
1501.99664120747305e-073.9932824149461e-070.999999800335879
1511.27227118551916e-072.54454237103832e-070.999999872772881
1528.656815600869e-081.7313631201738e-070.999999913431844
1535.43907067300213e-081.08781413460043e-070.999999945609293
1544.07246941222196e-088.14493882444392e-080.999999959275306
1553.04460901950418e-086.08921803900836e-080.99999996955391
1562.20579007762182e-084.41158015524364e-080.999999977942099
1571.44204480691401e-082.88408961382802e-080.999999985579552
1589.38216015445046e-091.87643203089009e-080.99999999061784
1595.79949245381618e-091.15989849076324e-080.999999994200508
1603.51929981232136e-097.03859962464272e-090.9999999964807
1612.71457137437896e-095.42914274875791e-090.999999997285429
1621.63880267173579e-093.27760534347158e-090.999999998361197
1631.14810409168723e-092.29620818337446e-090.999999998851896
1648.3697816460934e-101.67395632921868e-090.999999999163022
1655.3192107823506e-101.06384215647012e-090.999999999468079
1663.11929579414179e-106.23859158828358e-100.99999999968807
1671.87964550042175e-103.7592910008435e-100.999999999812035
1681.36677604536411e-102.73355209072822e-100.999999999863322
1698.63093100156712e-111.72618620031342e-100.999999999913691
1705.27767892216597e-111.05553578443319e-100.999999999947223
1712.99394121141226e-115.98788242282453e-110.999999999970061
1722.17737149350622e-114.35474298701244e-110.999999999978226
1731.3642540365329e-112.7285080730658e-110.999999999986357
1747.8166102697297e-111.56332205394594e-100.999999999921834
1754.64059426816418e-119.28118853632836e-110.999999999953594
1762.66137013487253e-115.32274026974507e-110.999999999973386
1771.75662145071761e-113.51324290143523e-110.999999999982434
1781.06696821333695e-112.13393642667391e-110.99999999998933
1793.78651461762476e-117.57302923524951e-110.999999999962135
1802.45983144583758e-114.91966289167516e-110.999999999975402
1811.45932902754383e-112.91865805508766e-110.999999999985407
1821.15234215050994e-112.30468430101988e-110.999999999988477
1836.56151948756303e-121.31230389751261e-110.999999999993438
1843.63412610153742e-127.26825220307484e-120.999999999996366
1852.16493590926467e-124.32987181852934e-120.999999999997835
1861.48423929084853e-122.96847858169707e-120.999999999998516
1878.11489704821325e-131.62297940964265e-120.999999999999189
1885.15743271668134e-131.03148654333627e-120.999999999999484
1893.18578375969218e-136.37156751938437e-130.999999999999681
1900.9999999999830013.39986686149018e-111.69993343074509e-11
1910.9999999999999081.83804702869191e-139.19023514345953e-14
1920.9999999999998093.81808567901656e-131.90904283950828e-13
1930.9999999999997085.83294122063292e-132.91647061031646e-13
1940.9999999999994141.17212108481968e-125.86060542409839e-13
1950.9999999999987892.42136070047239e-121.21068035023619e-12
1960.9999999999975494.90299026006725e-122.45149513003363e-12
1970.9999999999950539.89392163420822e-124.94696081710411e-12
1980.9999999999911.79997080735678e-118.99985403678392e-12
1990.9999999999930841.38313749377644e-116.91568746888219e-12
2000.9999999999863622.72766626177019e-111.3638331308851e-11
2010.9999999999739885.2023824701257e-112.60119123506285e-11
2020.9999999999547529.04970368197149e-114.52485184098574e-11
2030.9999999999177091.64580991281427e-108.22904956407134e-11
2040.9999999998598142.80372649788119e-101.4018632489406e-10
2050.9999999997501374.99726824384226e-102.49863412192113e-10
2060.9999999995650858.69829062466074e-104.34914531233037e-10
2070.9999999991584561.68308884698356e-098.41544423491778e-10
2080.999999998453413.09317991323485e-091.54658995661742e-09
2090.9999999997640344.71931741328221e-102.35965870664111e-10
2100.9999999995858318.28337403077304e-104.14168701538652e-10
2110.9999999997503394.99322173387272e-102.49661086693636e-10
2120.9999999995104439.79113468745791e-104.89556734372895e-10
2130.9999999990625721.87485579578994e-099.3742789789497e-10
2140.9999999983113043.37739239562035e-091.68869619781018e-09
2150.9999999976815654.63687076729448e-092.31843538364724e-09
2160.9999999966857846.62843160152372e-093.31421580076186e-09
2170.9999999938162951.2367409218248e-086.18370460912402e-09
2180.9999999889768132.20463737783418e-081.10231868891709e-08
2190.9999999813903953.7219209546109e-081.86096047730545e-08
2200.999999993246661.35066798506256e-086.7533399253128e-09
2210.999999989160052.16798997158896e-081.08399498579448e-08
2220.9999999806579633.86840744078814e-081.93420372039407e-08
2230.9999999985900052.81998949626943e-091.40999474813471e-09
2240.999999997547564.90488015734479e-092.4524400786724e-09
2250.9999999963460567.30788719588178e-093.65394359794089e-09
2260.9999999926298461.4740308639694e-087.370154319847e-09
2270.9999999911905831.76188333289588e-088.80941666447938e-09
2280.9999999823186273.53627457121684e-081.76813728560842e-08
2290.999999972106095.57878189508858e-082.78939094754429e-08
2300.9999999538605979.22788055026688e-084.61394027513344e-08
2310.9999999686634386.2673123230663e-083.13365616153315e-08
2320.9999999764845464.70309070991497e-082.35154535495748e-08
2330.9999999534180349.31639312871363e-084.65819656435681e-08
2340.9999999182550041.63489991671927e-078.17449958359633e-08
2350.999999916673881.66652240786921e-078.33261203934604e-08
2360.9999998459560073.08087986240513e-071.54043993120257e-07
2370.9999997226956815.5460863776044e-072.7730431888022e-07
2380.9999995308022959.38395409137933e-074.69197704568967e-07
2390.9999991658698591.66826028093961e-068.34130140469806e-07
2400.9999985937202532.81255949443201e-061.40627974721601e-06
2410.9999987277123992.54457520147726e-061.27228760073863e-06
2420.9999976476484714.70470305880553e-062.35235152940277e-06
2430.9999958830993678.23380126594203e-064.11690063297102e-06
2440.9999921790612211.5641877557644e-057.82093877882198e-06
2450.9999999712447985.75104035720905e-082.87552017860453e-08
2460.9999999390913461.21817308388679e-076.09086541943395e-08
2470.9999998639797442.72040512804946e-071.36020256402473e-07
2480.9999997001763465.99647308395106e-072.99823654197553e-07
2490.9999993828454591.23430908262952e-066.1715454131476e-07
2500.9999987348858622.53022827539286e-061.26511413769643e-06
2510.9999974450278515.10994429797641e-062.55497214898821e-06
2520.9999955689365148.86212697168141e-064.43106348584071e-06
2530.9999910175225421.79649549155099e-058.98247745775497e-06
2540.9999824014519043.51970961916465e-051.75985480958233e-05
2550.9999667606202256.64787595496893e-053.32393797748447e-05
2560.9999989431398332.11372033396072e-061.05686016698036e-06
2570.9999977564044174.48719116610394e-062.24359558305197e-06
2580.9999977860926864.42781462833377e-062.21390731416688e-06
2590.9999971612908685.67741826321299e-062.8387091316065e-06
2600.999993757621071.24847578600808e-056.24237893004041e-06
2610.9999887562587452.24874825104442e-051.12437412552221e-05
2620.9999848962869523.02074260952123e-051.51037130476062e-05
2630.9999729161737985.41676524032382e-052.70838262016191e-05
2640.9999505459831969.89080336075526e-054.94540168037763e-05
2650.9998953795920060.0002092408159875450.000104620407993772
2660.9997672648170310.0004654703659379720.000232735182968986
2670.999577508587610.0008449828247807350.000422491412390368
2680.9994080344300130.001183931139973230.000591965569986615
2690.9987693554780430.002461289043913530.00123064452195677
2700.9974085465535960.005182906892807060.00259145344640353
2710.9962567289282640.007486542143471010.00374327107173551
2720.9923232853042190.01535342939156260.00767671469578128
2730.985818103064580.02836379387083980.0141818969354199
2740.9793692637414170.04126147251716660.0206307362585833
2750.9918333097034280.01633338059314370.00816669029657187
2760.9816666553382890.0366666893234230.0183333446617115
2770.960982844090640.07803431181871960.0390171559093598
2780.949238807328030.1015223853439410.0507611926719705
2790.9302272477144190.1395455045711620.069772752285581
2800.853446046141760.293107907716480.14655395385824
2810.8769790953002140.2460418093995720.123020904699786






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2570.937956204379562NOK
5% type I error level2660.970802919708029NOK
10% type I error level2680.978102189781022NOK

\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 & 257 & 0.937956204379562 & NOK \tabularnewline
5% type I error level & 266 & 0.970802919708029 & NOK \tabularnewline
10% type I error level & 268 & 0.978102189781022 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153487&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]257[/C][C]0.937956204379562[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]266[/C][C]0.970802919708029[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]268[/C][C]0.978102189781022[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153487&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153487&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 level2570.937956204379562NOK
5% type I error level2660.970802919708029NOK
10% type I error level2680.978102189781022NOK


Figures (Output of Computation)

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Input Parameters & R Code

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