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R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Wed, 29 Dec 2010 05:58:02 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/29/t1293602164pcrjyrp0kt0ggh0.htm/, Retrieved Fri, 03 May 2024 10:57:27 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=116600, Retrieved Fri, 03 May 2024 10:57:27 +0000

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Estimated Impact

139

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Multiple Regression] [paper MR 2] [2010-12-29 05:58:02] [4c854bb223ec27caaa7bcfc5e77b0dbd] [Current]

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5.2	67.7	32.4	5	7.7	1019	86
7.9	111.5	94.7	6.3	8.4	1010.4	77
8.7	29.4	133.4	3.9	8.7	1022.6	77
8.9	62.3	196.5	3.8	8.1	1015	71
15.3	19	307.3	3	11.2	1019.8	66
15.4	95.5	128.7	2.8	13.5	1013.7	77
18.1	30.4	279.9	3.3	14.5	1019.2	71
19.7	44.3	230.2	2.1	16.4	1018.3	72
13	56.5	92.2	2.9	12.5	1017.2	84
12.6	80	121.3	4	12.4	1010.9	83
6.2	66.1	73.4	3.4	9.1	1013.1	92
3.5	96.7	24	4	7.2	1017.1	89
3.4	83.5	93.8	4.6	6.8	1022.4	85
0	37.7	76.2	3.1	5.7	1017.8	87
9.5	24.6	113.3	3.6	9.3	1013.3	77
8.9	69.4	194.2	3.9	7.2	1016.3	65
10.4	26.9	155.3	2.9	8.7	1021.8	70
13.2	100.3	114	3.3	10.8	1013.1	71
18.9	110.6	193	2.7	15.5	1015.8	72
19	15.7	250.7	2.3	14.9	1019.3	70
16.3	55.7	173	2.5	13.5	1015.6	74
10.6	24.4	112.9	2.6	10.8	1015.6	84
5.8	174.6	63.2	3.9	8.3	1012	89
3.6	70.4	51.3	3.1	6.9	1027.9	85
2.6	30.6	45.7	3.2	6.7	1029.6	88
5	46.1	80.6	3.2	7.6	1023.6	86
7.3	92.8	78.8	3.9	8.5	1014.6	83
9.2	56.5	124.9	3.5	8.7	1012.1	75
15.7	49.3	252.5	3.3	11.7	1017.7	67
16.8	116.7	188.3	2.9	13.9	1014.9	74
18.4	67.6	192.6	2.7	15.7	1015.9	75
18.1	180.5	165	3.2	16.3	1012.4	78
14.6	31.3	139.1	3.2	13.2	1016.6	80
7.8	81.3	106.1	3.5	9.1	1008.7	85
7.6	87.9	46.8	4.2	9.5	1013.5	89
3.8	76	67.5	3.6	7.3	1017.6	89
5.6	84.9	51.8	4.6	8.4	1021.3	86
2.2	26.9	44.4	2.6	6.5	1028.8	91
6.8	4.2	169.2	3.4	7.2	1021.5	71
11.8	32	145.3	3.5	10	1010.2	72
14.9	73.7	200	3.4	12.3	1012.9	71
16.7	66	194.1	3	13.7	1015.5	73
16.7	107.6	167.3	3.2	14.9	1015.3	79
15.9	40.1	167.8	2.7	13.7	1018.4	76
13.6	94	105.9	3.1	13.1	1010.7	85
9.2	84	89.3	3.5	10.1	1013.4	85
2.8	73.2	87.1	3.2	10	1019.9	88
2.5	170.1	15.4	4.7	8.1	1006.9	92
4.8	99.1	38.6	4.5	7.9	1012.1	90
2.8	39.3	52.2	3.2	6.7	1014.4	84
7.8	95.3	104.5	4.5	8.8	1017.3	82
9	52.8	146.9	3.9	9.1	1012.2	77
12.9	69.4	152.9	2.9	11.2	1013.8	77
16.4	55	235.8	3.3	13.3	1019.2	72
21.8	68.6	268.6	2.6	17.6	1017.2	68
17.8	81.2	203.1	2.8	15.2	1015.1	75
13.5	118.7	98.1	3.2	13.5	1013.2	86
10	60.6	128.8	3.3	10.4	1015.2	83
10.4	33.6	62.1	2.9	11.5	1019.1	90
5.5	121.5	50.2	4.3	8.7	1018.7	93
4	143.6	56.2	4.8	7.2	1014.4	88
6.8	100.8	61.7	4.6	7.5	1012.1	85
5.7	76.9	155.3	4.2	6.8	1013.4	75
9.1	51.3	85.2	3.2	9.5	1017.8	81
13.6	60.4	224.3	2.8	10.4	1016.6	67
15	75.1	161.9	2.9	13.1	1018	78
20.9	50.4	243.4	2.7	17.6	1015.5	72
20.4	21.6	271.9	3	15.7	1017.7	67
14	61.8	16.8	3.2	13.1	1012	82
13.7	6	135.8	3	13.5	1020.6	84
7.1	41.4	78.7	3.2	8.7	1017.7	85
0.8	74.1	41.8	3.1	6	1017	89
2.1	15	81.8	3.5	6.3	1013.4	83
1.3	71.8	43.4	3.9	5.7	1013.3	82
3.9	26.1	131.4	3.2	6.3	1017.8	76
10.7	6	209.3	3.1	7.5	1017.7	59
11.1	73.4	96.8	3.4	9.9	1014.2	74
16.4	22.9	239.8	2.7	12.5	1021.1	68
17.1	56	211.6	3.1	13.3	1018.1	69
17.3	231.2	188.1	2.9	14.1	1015	72
12.9	47	147.8	3	11.5	1017.3	79
10.9	45.2	126.1	3	10.7	1017.1	83
5.3	116.7	49.8	3.7	8.4	1010.5	91
0.7	33.3	45.8	3.4	5.9	1014.8	85
-0.2	2.6	74.2	2.9	5.5	1023.2	86
6.5	96.2	42.4	4.7	7.9	1018.7	83
8.6	24.3	108.8	3.1	9.2	1024.3	83
8.5	24.4	200.1	3.3	7.9	1021.5	71
13.3	90.8	229	3.3	11.2	1015.1	74
16.2	91.4	181.8	3.1	13.7	1010.1	75
17.5	74.4	197.5	2.7	15.5	1018.2	77
21.2	52.6	254	2.6	17.6	1016	71
14.8	16.5	195.7	2.6	12.9	1021.9	76
10.3	89.1	146	3.3	10.5	1017.9	80
7.3	63.5	46.5	3.7	9.2	1007.2	88
5.1	74.9	29.7	4.2	8.1	1012.5	90
4.4	73.3	56.3	4.6	7.3	1016.4	85
6.2	14.5	103.8	3	7.9	1025.5	81
7.7	84	71.4	3.9	8.4	1022.5	79
9.3	107.2	93	3.5	9.3	1003.9	80
15.6	35.5	210.1	3	12.4	1016.4	71
16.3	87.7	167.6	3.3	14.3	1015.3	77
16.6	43.8	145.5	3.3	14.5	1013.8	78
17.4	64.7	212.5	2.7	14.5	1018.4	76
15.3	139.1	107.5	3.4	14.4	1010.3	84
9.7	128.7	48.3	4	10.8	1012.4	89
3.7	87.8	79.5	3.1	7.5	1018.4	89
4.6	81.7	30.6	3.8	7.7	1019.8	90
5.4	123.9	59.6	4.3	7.9	1014.5	85
3.1	76.3	63	3.7	6.8	1017.4	87
7.9	71.9	119.1	3.5	8.4	1011.7	80
10.1	71	142.3	3.4	9.9	1013.8	79
15	40	213.2	3.1	12.4	1015.7	72
15.6	83.1	205.6	3.1	13.2	1017.9	76
19.7	34.5	257	3.1	16.3	1017.1	73
18.1	91.2	177	2.7	15.3	1013.4	76
17.7	42.5	162.9	3.1	16	1011.1	81
10.7	47	120.1	3.7	11.2	1016.1	86
6.2	32.7	62.3	3.6	8.5	1021.7	88
4.2	171.9	26.6	4.4	7.7	1010.6	92
4	45.7	54.6	3.5	7.5	1025.1	90
5.9	81.9	89.4	4	7.9	1020.3	86
7.1	56.8	72.6	3.5	8.4	1020.7	84
10.5	65.1	155.1	3.5	9.6	1007.6	76
15.1	86.2	158.9	3	13.6	1015.2	79
16.8	35.1	235	3	14.1	1020	73
15.3	133.8	93.1	2.8	15.2	1013.4	86
18.4	34.5	227.6	2.4	16	1017.8	77
16.1	69.9	127.3	2.9	15.2	1013.7	83
11.3	98.3	87.3	4.1	11.9	1011.7	88
7.9	86.7	49.5	4.7	9.6	1003.4	88
5.6	58.2	41.9	4.2	8.5	1009.1	88
3.4	83.6	68.6	4	7.2	1011.6	91
4.8	83.5	59.4	3.7	7.7	1017.8	88
6.5	112.3	46.8	3.5	8.8	1004.9	88
8.5	134.3	95.4	3.6	9.1	1012.8	82
15.1	30	259.7	3.5	12.1	1017.5	72
15.7	44.5	201.4	2.9	12.8	1017.4	73
18.7	120.1	188.8	2.9	16.7	1014.5	78
19.2	43.4	220.8	2.9	15.5	1015.5	71
12.9	199.4	68.6	3	13.3	1013.4	90
14.4	68.1	113.7	3.6	14.1	1015.4	87
6.2	99.8	70.9	2.7	8.7	1022.9	91
3.3	69.5	61.3	3.3	6.9	1026.1	91
4.6	71.3	63.5	3.9	7.6	1022.8	87
7.2	167.8	76.4	5.3	8.4	1012.1	82
7.8	66.3	124.3	3.6	8	1018.2	75
9.9	41.9	193.1	3.5	8.1	1015.9	68
13.6	57.2	178.8	3.3	12	1013.6	78
17.1	72.3	200.2	2.9	14.5	1016.5	76
17.8	96.5	169.5	3.1	15.7	1016	79
18.6	172.1	152.1	2.3	17.2	1015.9	82
14.7	25.8	135.7	2.7	12.9	1019.8	79
10.5	105.1	91	3.5	10.9	1012.3	85
8.6	92.2	57.9	3.4	10	1008	90
4.4	109.3	37.9	3.8	8	1015.2	90
2.3	101.7	54.4	4	6.7	1016.5	86
2.8	29.1	145.7	3.3	5.7	1020.9	76
8.8	34.6	185.7	3.2	8.3	1023.8	73
10.7	46.7	211.7	3.6	8.7	1016.9	67
13.9	82	187.3	3	12.1	1017	78
19.3	34.4	258.3	2.8	16.1	1016	74
19.5	72.7	235	2.7	16.3	1016	74
20.4	44.4	244.3	2.5	16.7	1017.9	72
15.3	31	208.3	2.4	12.8	1020.3	75
7.9	64	127.1	3.3	9.2	1013.4	85
8.3	65.4	63.2	3.5	9.9	1014.9	89
4.5	64.5	66.8	3.5	7.7	1018.2	89
3.2	153.8	32.9	4.1	7.1	1009.9	89
5	48.8	56.3	3.7	7.3	1020.2	82
6.6	25	136.7	3.5	7.5	1020.7	76
11.1	37.2	142.8	3.4	9.3	1012.9	72
12.8	40.8	216.3	2.7	10.4	1016.3	72
16.3	78.4	200	3	13.7	1018	75
17.4	112.4	204.8	2.8	14.8	1016.7	76
18.9	122.7	159.3	3	16.7	1012.2	78
15.8	82.9	173.5	3.4	13.7	1019.7	77
11.7	67.6	101.6	3.6	11.5	1010.5	83
6.4	78.4	60.3	2.8	8.8	1022.1	90
2.9	65.7	51.9	2.7	7.1	1019.8	92
4.7	44.9	75.3	4	7.4	1022.8	83
2.4	80.9	69.8	3.4	6.2	1020.2	82
7.2	38.8	83.5	3.2	8.4	1016.4	80
10.7	46.1	120.1	3	9.4	1014.6	74
13.4	60	190.3	3.2	10.8	1017.3	71
18.5	53.9	246.8	2.8	13.5	1019	65
18.3	123.5	175.4	2.8	15.9	1015.3	76
16.8	69.5	185	2.6	15.1	1018.1	80
16.6	74.2	189.6	2.6	14.9	1018.4	79
14.1	47	140.3	3.4	13.2	1017	83
6.1	60.9	60.4	3.3	8.9	1016.5	92
3.5	51.4	26.7	3.3	7.3	1018.1	91
1.7	18.7	97.4	3.2	6.1	1024.6	85
2.3	83.1	29.9	3.4	6.5	1015.5	88
4.5	65.3	114.1	3.6	7	1011.2	79
9.3	46	141.3	3.2	8.8	1015.8	76
14.2	115.6	135.6	3.7	12.2	1015	77
17.3	25.8	246.2	2.5	13.4	1021.3	69
23	48.1	308.7	2.8	17.3	1019.7	64
16.3	202.3	94.5	2.9	15.1	1012.7	83
18.4	9.2	160.5	2.9	12.7	1015.1	77
14.2	56.3	108.3	3.5	13.5	1013	84
9.1	71.6	79.3	3.9	10.1	1017.3	87
5.9	93	40	4	8.3	1023	89
7.2	82.3	34.6	4.6	9	1018.4	86
6.8	95.4	48.7	3.6	8.5	1009.8	86
8	61.9	144.6	3.7	8	1015.7	77
14.3	0	284.2	2.8	9.9	1021.1	62
14.6	103.4	164.2	3.5	12.2	1011.5	75
17.5	99.2	130.3	3.1	15.3	1012.5	78
17.2	96.7	178.3	3.4	14.5	1012.8	75
17.2	56.9	150.8	2.8	14.6	1015.8	76
14.1	57.6	130.5	2.7	13	1020.5	81
10.5	65.2	108.5	2.4	11.2	1023.5	87
6.8	71.7	51.3	3.2	8.9	1020.3	89
4.1	89.2	70.3	3.8	7.2	1022.2	84
6.5	70.7	41.8	4.8	8.2	1016.1	83
6.1	35.4	125.7	3.6	6.9	1025	72
6.3	140.5	68.4	4.3	7.5	1007.1	78
9.3	45.4	135	3.2	8	1011.3	69
16.4	53.9	231	3	11.3	1014.8	62
16.1	69.9	184.7	2.8	13	1017.2	73
18	101.9	181.6	2.9	14.1	1015.2	72
17.6	89.3	138.3	3.1	14.4	1012.9	75
14	70.7	157.8	3.3	11.3	1017.7	75
10.5	72.4	122.1	3.1	10.5	1016	85
6.9	67.6	39.6	3.5	8.9	1013.5	90
2.8	43.3	59.8	2.9	6.7	1018.3	91
0.7	62.9	89.1	3.5	5.6	1013.9	86
3.6	57.1	33.1	3.2	6.8	1014.5	87
6.7	68.2	150.5	3.7	7	1015	75
12.5	47.1	196.9	3.1	9	1013.6	70
14.4	43.1	196.6	3.1	11.3	1018.7	72
16.5	64.5	225.2	3.1	12.6	1016.6	69
18.7	73.1	214.2	3.1	14.2	1013.7	70
19.4	37.7	258.3	2.9	13.6	1016.9	66
15.8	29.1	156.9	3.1	13.6	1021	78
11.3	105	89.8	2.9	10.9	1017.1	83
9.7	98	48.2	5.5	9.8	1006.6	84
2.9	80.8	46	4	6.9	1007.1	89

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	10 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk
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 & 10 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \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=116600&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]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/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=116600&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116600&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	10 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk
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
temperatuur[t] = + 39.3922331179793 -0.0022331709186157neerslag[t] + 8.19581189138838e-05Zonneschijn[t] + 0.119317101917587windsnelheid[t] + 1.45746560637251dampspanning[t] -0.0263665368442059Luchtdruk[t] -0.221090759300471`vochtigheid `[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
temperatuur[t] =  +  39.3922331179793 -0.0022331709186157neerslag[t] +  8.19581189138838e-05Zonneschijn[t] +  0.119317101917587windsnelheid[t] +  1.45746560637251dampspanning[t] -0.0263665368442059Luchtdruk[t] -0.221090759300471`vochtigheid
`[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116600&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]temperatuur[t] =  +  39.3922331179793 -0.0022331709186157neerslag[t] +  8.19581189138838e-05Zonneschijn[t] +  0.119317101917587windsnelheid[t] +  1.45746560637251dampspanning[t] -0.0263665368442059Luchtdruk[t] -0.221090759300471`vochtigheid
`[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116600&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116600&T=1

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Estimated Regression Equation
temperatuur[t] = + 39.3922331179793 -0.0022331709186157neerslag[t] + 8.19581189138838e-05Zonneschijn[t] + 0.119317101917587windsnelheid[t] + 1.45746560637251dampspanning[t] -0.0263665368442059Luchtdruk[t] -0.221090759300471`vochtigheid `[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	39.3922331179793	14.59454	2.6991	0.007462	0.003731
neerslag	-0.0022331709186157	0.001776	-1.2573	0.209916	0.104958
Zonneschijn	8.19581189138838e-05	0.002239	0.0366	0.970833	0.485417
windsnelheid	0.119317101917587	0.120415	0.9909	0.32277	0.161385
dampspanning	1.45746560637251	0.028714	50.7584	0	0
Luchtdruk	-0.0263665368442059	0.014333	-1.8395	0.06711	0.033555
`vochtigheid `	-0.221090759300471	0.016474	-13.4202	0	0

\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) & 39.3922331179793 & 14.59454 & 2.6991 & 0.007462 & 0.003731 \tabularnewline
neerslag & -0.0022331709186157 & 0.001776 & -1.2573 & 0.209916 & 0.104958 \tabularnewline
Zonneschijn & 8.19581189138838e-05 & 0.002239 & 0.0366 & 0.970833 & 0.485417 \tabularnewline
windsnelheid & 0.119317101917587 & 0.120415 & 0.9909 & 0.32277 & 0.161385 \tabularnewline
dampspanning & 1.45746560637251 & 0.028714 & 50.7584 & 0 & 0 \tabularnewline
Luchtdruk & -0.0263665368442059 & 0.014333 & -1.8395 & 0.06711 & 0.033555 \tabularnewline
`vochtigheid
` & -0.221090759300471 & 0.016474 & -13.4202 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116600&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]39.3922331179793[/C][C]14.59454[/C][C]2.6991[/C][C]0.007462[/C][C]0.003731[/C][/ROW]
[ROW][C]neerslag[/C][C]-0.0022331709186157[/C][C]0.001776[/C][C]-1.2573[/C][C]0.209916[/C][C]0.104958[/C][/ROW]
[ROW][C]Zonneschijn[/C][C]8.19581189138838e-05[/C][C]0.002239[/C][C]0.0366[/C][C]0.970833[/C][C]0.485417[/C][/ROW]
[ROW][C]windsnelheid[/C][C]0.119317101917587[/C][C]0.120415[/C][C]0.9909[/C][C]0.32277[/C][C]0.161385[/C][/ROW]
[ROW][C]dampspanning[/C][C]1.45746560637251[/C][C]0.028714[/C][C]50.7584[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Luchtdruk[/C][C]-0.0263665368442059[/C][C]0.014333[/C][C]-1.8395[/C][C]0.06711[/C][C]0.033555[/C][/ROW]
[ROW][C]`vochtigheid
`[/C][C]-0.221090759300471[/C][C]0.016474[/C][C]-13.4202[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116600&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116600&T=2

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	39.3922331179793	14.59454	2.6991	0.007462	0.003731
neerslag	-0.0022331709186157	0.001776	-1.2573	0.209916	0.104958
Zonneschijn	8.19581189138838e-05	0.002239	0.0366	0.970833	0.485417
windsnelheid	0.119317101917587	0.120415	0.9909	0.32277	0.161385
dampspanning	1.45746560637251	0.028714	50.7584	0	0
Luchtdruk	-0.0263665368442059	0.014333	-1.8395	0.06711	0.033555
`vochtigheid `	-0.221090759300471	0.016474	-13.4202	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.990152355114916
R-squared	0.980401686339614
Adjusted R-squared	0.979897008734626
F-TEST (value)	1942.62966426262
F-TEST (DF numerator)	6
F-TEST (DF denominator)	233
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.796309518809871
Sum Squared Residuals	147.7473619911

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.990152355114916 \tabularnewline
R-squared & 0.980401686339614 \tabularnewline
Adjusted R-squared & 0.979897008734626 \tabularnewline
F-TEST (value) & 1942.62966426262 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 233 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.796309518809871 \tabularnewline
Sum Squared Residuals & 147.7473619911 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116600&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.990152355114916[/C][/ROW]
[ROW][C]R-squared[/C][C]0.980401686339614[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.979897008734626[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]1942.62966426262[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]233[/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]0.796309518809871[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]147.7473619911[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116600&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116600&T=3

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Regression Statistics
Multiple R	0.990152355114916
R-squared	0.980401686339614
Adjusted R-squared	0.979897008734626
F-TEST (value)	1942.62966426262
F-TEST (DF numerator)	6
F-TEST (DF denominator)	233
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.796309518809871
Sum Squared Residuals	147.7473619911

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	5.2	5.181467224412	0.0185327755879988
2	7.9	8.4806675365028	-0.580667536502795
3	8.7	8.49638953593334	0.203610464066655
4	8.9	9.06860893181788	-0.168608931817875
5	15.3	14.5759703100405	0.724029689959507
6	15.4	15.4476400114461	-0.0476400114461066
7	18.1	18.3040642663188	-0.204064266318766
8	19.7	20.697593125706	-0.99759312570598
9	13	12.446290115693	0.553709884307011
10	12.6	12.768897773257	-0.168897773256978
11	6.2	5.86696307818842	0.33303692181158
12	3.5	3.6547910565718	-0.1547910565718
13	3.4	3.92321399992685	-0.523213999926855
14	0	1.92096749610283	-1.92096749610283
15	9.5	9.58935442405188	-0.0893544240518823
16	8.9	9.04504563698406	-0.145045636984062
17	10.4	9.95317878869518	0.446821211304824
18	13.2	12.9025818983511	0.297418101648924
19	18.9	19.372272609304	-0.472272609303969
20	19	19.0166219479976	-0.0166219479976069
21	16.3	16.117531685997	0.182468314002957
22	10.6	10.0483712327843	0.551628767215748
23	5.8	5.20978959499652	0.59021040500348
24	3.6	3.77074027402462	-0.170740274024619
25	2.6	2.8715047095003	-0.271504709500302
26	5	4.75185068401329	0.24814931598671
27	7.3	6.94322620407673	0.356773795923268
28	9.2	9.10647727472616	0.0935227252738379
29	15.7	15.1026208281238	0.597379171876155
30	16.8	16.6317318782879	0.168268121712146
31	18.4	19.0938503652455	-0.693850365245544
32	18.1	19.2026118402874	-1.10261184028742
33	14.6	14.4626138729636	0.137386127036391
34	7.8	7.5112786981235	0.288721301876494
35	7.6	7.1472654534463	0.452734546553706
36	3.8	3.78941932420801	0.0105806757919875
37	5.6	6.05650272107059	-0.456502721070589
38	2.2	1.87439846549349	0.325601534506513
39	6.8	7.66529032955347	-0.865290329553468
40	11.8	11.7709358940478	0.0290641059522393
41	14.9	15.1724360701322	-0.272436070132217
42	16.7	16.6711384270626	0.0288615729374281
43	16.7	17.0275929388578	-0.327592938857818
44	15.9	15.9512916900024	-0.0512916900023974
45	13.6	13.2123035468679	0.387696453132087
46	9.2	8.83741512345024	0.362584876549761
47	2.8	7.8451566029084	-5.0451566029084
48	2.5	4.49107888630981	-1.99107888630981
49	4.8	4.64125443524338	0.158745564756625
50	2.8	4.1377432475151	-1.3377432475151
51	7.8	7.5984806533197	0.201519346680298
52	9	9.30243799677182	-0.302437996771821
53	12.9	12.1650333207503	0.73496667924975
54	16.4	16.2754644217292	0.124535578270766
55	21.8	23.3684577704862	-1.56845777048623
56	17.8	18.3686319374818	-0.56863193748183
57	13.5	13.4644158031804	0.0355841968196445
58	10	9.70100668245255	0.298993317547449
59	10.4	9.66085620817065	0.73914379182935
60	5.5	4.8969997644871	0.603000235512895
61	4	3.94042848223165	0.0595715177683522
62	6.8	5.17375054137375	1.62624945862625
63	5.7	6.34347293613845	-0.643472936138451
64	9.1	8.76817956489002	0.331820435109979
65	13.6	13.1501607632594	0.449839236740593
66	15	14.590396307646	0.409603692353994
67	20.9	22.5794279222334	-1.67942792223343
68	20.4	20.9601369449912	-0.56013694499121
69	14	13.9178366722478	0.0821633277521832
70	13.7	13.9423897123617	-0.2423897123617
71	7.1	6.7420563605959	0.357943639404103
72	0.8	1.85301210816076	-1.05301210816076
73	2.1	3.89470144532826	-1.79470144532826
74	1.3	3.16168503531301	-1.86168503531301
75	3.9	5.26980579324327	-1.36980579324327
76	10.7	10.8192836454185	-0.119283645418519
77	11.1	10.969181712443	0.130818287557026
78	16.4	15.9441809116418	0.455819088358215
79	17.1	16.9396599123794	0.160340087620576
80	17.3	17.1070554026736	0.192944597326401
81	12.9	12.1293453574686	0.770654642531369
82	10.9	10.0865243590107	0.813475640989349
83	5.3	5.05724337931002	0.242756620689976
84	0.7	2.7768713023131	-2.0768713023131
85	-0.2	1.76254279779215	-1.96254279779215
86	6.5	6.04552166407429	0.454478335925711
87	8.6	7.76767399110722	0.832326008892783
88	8.5	8.63100699714087	-0.131006997140871
89	13.3	12.8002030967122	0.499796903287801
90	16.2	16.3255372914166	-0.12553729141662
91	17.5	18.2847487231645	-0.784748723164516
92	21.2	22.7713594829596	-1.57135948295958
93	14.8	14.7360940809549	0.0639059190450647
94	10.3	10.3766001799766	-0.0766001799766323
95	7.3	7.09203194497326	0.207968055026738
96	5.1	4.93971912017709	0.160280879822914
97	4.4	4.82985093808896	-0.429850938088956
98	6.2	6.29305395142695	-0.0930539514269503
99	7.7	7.492592453576	0.207407546424006
100	9.3	8.97587221460264	0.324127785397363
101	15.6	15.2643078171399	0.335692182860137
102	16.3	16.6516914925431	-0.351691492543136
103	16.6	16.8578685886827	-0.257868588682707
104	17.4	17.0659916984179	0.334008301582085
105	15.3	15.2738564643263	0.0261435356736928
106	9.7	8.95612007557452	0.743879924425475
107	3.7	3.97479274563566	-0.27479274563566
108	4.6	4.10141851795878	0.498581482041218
109	5.4	5.60590360465164	-0.205903604651642
110	3.1	3.5190342943726	-0.419034294372601
111	7.9	7.53946422181335	0.360535778186648
112	10.1	9.88336323529356	0.216636764706437
113	15	15.063810144857	-0.0638101448569551
114	15.6	15.1905406633997	0.409459336600252
115	19.7	20.5057943044882	-0.805794304488216
116	18.1	18.3017083251722	-0.201708325172195
117	17.7	18.4324501428992	-0.732450142899205
118	10.7	10.257361936115	0.442638063884979
119	6.2	5.74763612865196	0.452363871348038
120	4.2	3.77163955014029	0.428360449859707
121	4	3.71674876875881	0.283251231241189
122	5.9	5.292327331605	0.607672668395004
123	7.1	6.44771218135522	0.652287818644782
124	10.5	10.299024842251	0.200975157749016
125	15.1	15.158762293334	-0.0587622933339502
126	16.8	17.2078323222615	-0.407832322261452
127	15.3	15.8549765144121	-0.554976514412088
128	18.4	19.0798034695453	-0.679803469545256
129	16.1	16.6677731308184	-0.567773130818393
130	11.3	10.881896050431	0.418103949568983
131	7.9	7.8429644384927	0.0570355615073051
132	5.6	6.09282694998897	-0.492826949988966
133	3.4	3.39053536175141	0.00946463824858606
134	4.8	4.58274208622759	0.217257913772411
135	6.5	6.43687116338964	0.0631288366103547
136	8.5	7.95914487459643	0.540855125403574
137	15.1	14.6529802991083	0.447019700891682
138	15.7	15.3460027201499	0.353997279850129
139	18.7	19.8312673516029	-1.13126735160285
140	19.2	19.777484271478	-0.577484271477996
141	12.9	12.0767882593114	0.823211740688632
142	14.4	14.2218018625502	0.178198137449816
143	6.2	5.08769080726973	1.11230919273027
144	3.3	2.51834833994078	0.781651660059221
145	4.6	4.57769773454795	0.0223022654520469
146	7.2	7.08384616915352	0.116153830846484
147	7.8	7.91541293583372	-0.115412935833722
148	9.9	9.71763422511969	0.182365774880314
149	13.6	13.1922825951706	0.407717404829354
150	17.1	17.1219713549613	-0.0219713549613
151	17.8	18.1881456430314	-0.388145643031368
152	18.6	19.4480009541226	-0.84800095412263
153	14.7	14.1144372639402	0.585562736059844
154	10.5	9.98541022149624	0.51458977850376
155	8.6	7.69577686861104	0.904223131388959
156	4.4	4.59890704626816	-0.198907046268158
157	2.3	3.59647612561538	-1.29647612561538
158	2.8	4.3199943637391	-1.5199943637391
159	8.8	8.67527843587327	0.124721564126736
160	10.7	10.7895747221937	-0.08957472219366
161	13.9	13.1579018051914	0.74209819480858
162	19.3	19.986748346513	-0.686748346513041
163	19.5	20.1788696872421	-0.678869687242113
164	20.4	21.1940385555073	-0.794038555507274
165	15.3	14.7984130121638	0.501586987836243
166	7.9	7.54959409259872	0.350405907401284
167	8.3	7.66140703189014	0.638592968109858
168	4.5	4.37027802933958	0.129721970660423
169	3.2	3.58403063920997	-0.384030639209967
170	5	5.34025767176264	-0.340257671762643
171	6.6	6.98098756065808	-0.380987560658082
172	11.1	10.6557712258418	0.444228774158195
173	12.8	12.0837997026721	0.716200297327888
174	16.3	16.1358327998619	0.164167200138129
175	17.4	17.452832872823	-0.0528328728229722
176	18.9	19.8956180876399	-0.995618087639925
177	15.8	15.6843338501078	0.115666149892176
178	11.7	11.4460752459406	0.253924754059406
179	6.4	5.53447416847246	0.86552583152754
180	2.9	2.6909852660557	0.209014733944297
181	4.7	5.24242217872173	-0.542422178721731
182	2.4	3.63067202229538	-1.23067202229538
183	7.2	7.45074661644316	-0.250746616443157
184	10.7	10.2450506440009	0.454949355999097
185	13.4	12.876160925907	0.523839074093005
186	18.5	18.0635656418356	0.436434358164388
187	18.3	19.0657604255219	-0.765760425521923
188	16.8	17.0391132072216	-0.239113207221551
189	16.6	16.9506819882238	-0.35068198822377
190	14.1	13.7776959670285	0.322304032971539
191	6.1	5.48443905468278	0.615560945317219
192	3.5	3.34985151995595	0.15014848004405
193	1.7	2.82294227647861	-1.12294227647861
194	2.3	2.85710676660645	-0.557106766606453
195	4.5	5.75954724827446	-1.25954724827446
196	9.3	8.92257416695976	0.377425833040241
197	14.2	13.5817223925465	0.61827760745347
198	17.3	16.9997208066213	0.300279193378719
199	23	23.8225947284494	-0.82259472844943
200	16.3	16.2500330511003	0.0499669488997437
201	18.4	14.452015003416	3.94798499658404
202	14.2	14.08785159786	0.112148402140043
203	9.1	8.36700269012562	0.732997309874376
204	5.9	5.11201471850225	0.787985281497748
205	7.2	7.01184160648537	0.188158393514626
206	6.8	6.36244498868452	0.437555011315476
207	8	7.56256917139091	0.437430828609086
208	14.3	13.5480251555839	0.751974844416093
209	14.6	14.1219120571267	0.478087942873276
210	17.5	17.9092907189959	-0.409290718995871
211	17.2	17.4439925983257	-0.243992598325692
212	17.2	17.3045848822701	-0.104584882270077
213	14.1	13.7281047127552	0.371895287244812
214	10.5	9.64445214677636	0.855547853223642
215	6.8	6.01072271758129	0.789277282418711
216	4.1	4.62245553758052	-0.522455537580517
217	6.5	6.62014273552609	-0.120142735526087
218	6.1	6.86530031893648	-0.765300318936478
219	6.3	6.72931564405048	-0.429315644050479
220	9.3	9.42370997916598	-0.123709979165984
221	16.4	15.6537215225678	0.746278477432159
222	16.1	15.5727461966828	0.527253803317249
223	18	17.3899983673088	0.610001632691177
224	17.6	17.2730613934699	0.326938606530056
225	14	12.6953572196516	1.30464278034845
226	10.5	9.33271453839359	1.16728546160641
227	6.9	6.01291663017172	0.887083369828276
228	2.8	2.44317350617341	0.356826493826594
229	0.7	2.09164938181036	-1.39164938181036
230	3.6	3.5762650341439	0.0237349658560997
231	6.7	6.5521562355246	0.147843764475399
232	12.5	10.5887868983037	1.91121310169628
233	14.4	13.3732150326929	1.02678496730711
234	16.5	15.941116470794	0.558883529206031
235	18.7	18.1083268293296	0.591673170670432
236	19.4	18.0926427679861	1.30735723201393
237	15.8	15.3662089923449	0.433791007655086
238	11.3	10.2295670694436	1.0704329305564
239	9.7	9.00455998366675	0.695440016333253
240	2.9	3.5185272393242	-0.618527239324199

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 5.2 & 5.181467224412 & 0.0185327755879988 \tabularnewline
2 & 7.9 & 8.4806675365028 & -0.580667536502795 \tabularnewline
3 & 8.7 & 8.49638953593334 & 0.203610464066655 \tabularnewline
4 & 8.9 & 9.06860893181788 & -0.168608931817875 \tabularnewline
5 & 15.3 & 14.5759703100405 & 0.724029689959507 \tabularnewline
6 & 15.4 & 15.4476400114461 & -0.0476400114461066 \tabularnewline
7 & 18.1 & 18.3040642663188 & -0.204064266318766 \tabularnewline
8 & 19.7 & 20.697593125706 & -0.99759312570598 \tabularnewline
9 & 13 & 12.446290115693 & 0.553709884307011 \tabularnewline
10 & 12.6 & 12.768897773257 & -0.168897773256978 \tabularnewline
11 & 6.2 & 5.86696307818842 & 0.33303692181158 \tabularnewline
12 & 3.5 & 3.6547910565718 & -0.1547910565718 \tabularnewline
13 & 3.4 & 3.92321399992685 & -0.523213999926855 \tabularnewline
14 & 0 & 1.92096749610283 & -1.92096749610283 \tabularnewline
15 & 9.5 & 9.58935442405188 & -0.0893544240518823 \tabularnewline
16 & 8.9 & 9.04504563698406 & -0.145045636984062 \tabularnewline
17 & 10.4 & 9.95317878869518 & 0.446821211304824 \tabularnewline
18 & 13.2 & 12.9025818983511 & 0.297418101648924 \tabularnewline
19 & 18.9 & 19.372272609304 & -0.472272609303969 \tabularnewline
20 & 19 & 19.0166219479976 & -0.0166219479976069 \tabularnewline
21 & 16.3 & 16.117531685997 & 0.182468314002957 \tabularnewline
22 & 10.6 & 10.0483712327843 & 0.551628767215748 \tabularnewline
23 & 5.8 & 5.20978959499652 & 0.59021040500348 \tabularnewline
24 & 3.6 & 3.77074027402462 & -0.170740274024619 \tabularnewline
25 & 2.6 & 2.8715047095003 & -0.271504709500302 \tabularnewline
26 & 5 & 4.75185068401329 & 0.24814931598671 \tabularnewline
27 & 7.3 & 6.94322620407673 & 0.356773795923268 \tabularnewline
28 & 9.2 & 9.10647727472616 & 0.0935227252738379 \tabularnewline
29 & 15.7 & 15.1026208281238 & 0.597379171876155 \tabularnewline
30 & 16.8 & 16.6317318782879 & 0.168268121712146 \tabularnewline
31 & 18.4 & 19.0938503652455 & -0.693850365245544 \tabularnewline
32 & 18.1 & 19.2026118402874 & -1.10261184028742 \tabularnewline
33 & 14.6 & 14.4626138729636 & 0.137386127036391 \tabularnewline
34 & 7.8 & 7.5112786981235 & 0.288721301876494 \tabularnewline
35 & 7.6 & 7.1472654534463 & 0.452734546553706 \tabularnewline
36 & 3.8 & 3.78941932420801 & 0.0105806757919875 \tabularnewline
37 & 5.6 & 6.05650272107059 & -0.456502721070589 \tabularnewline
38 & 2.2 & 1.87439846549349 & 0.325601534506513 \tabularnewline
39 & 6.8 & 7.66529032955347 & -0.865290329553468 \tabularnewline
40 & 11.8 & 11.7709358940478 & 0.0290641059522393 \tabularnewline
41 & 14.9 & 15.1724360701322 & -0.272436070132217 \tabularnewline
42 & 16.7 & 16.6711384270626 & 0.0288615729374281 \tabularnewline
43 & 16.7 & 17.0275929388578 & -0.327592938857818 \tabularnewline
44 & 15.9 & 15.9512916900024 & -0.0512916900023974 \tabularnewline
45 & 13.6 & 13.2123035468679 & 0.387696453132087 \tabularnewline
46 & 9.2 & 8.83741512345024 & 0.362584876549761 \tabularnewline
47 & 2.8 & 7.8451566029084 & -5.0451566029084 \tabularnewline
48 & 2.5 & 4.49107888630981 & -1.99107888630981 \tabularnewline
49 & 4.8 & 4.64125443524338 & 0.158745564756625 \tabularnewline
50 & 2.8 & 4.1377432475151 & -1.3377432475151 \tabularnewline
51 & 7.8 & 7.5984806533197 & 0.201519346680298 \tabularnewline
52 & 9 & 9.30243799677182 & -0.302437996771821 \tabularnewline
53 & 12.9 & 12.1650333207503 & 0.73496667924975 \tabularnewline
54 & 16.4 & 16.2754644217292 & 0.124535578270766 \tabularnewline
55 & 21.8 & 23.3684577704862 & -1.56845777048623 \tabularnewline
56 & 17.8 & 18.3686319374818 & -0.56863193748183 \tabularnewline
57 & 13.5 & 13.4644158031804 & 0.0355841968196445 \tabularnewline
58 & 10 & 9.70100668245255 & 0.298993317547449 \tabularnewline
59 & 10.4 & 9.66085620817065 & 0.73914379182935 \tabularnewline
60 & 5.5 & 4.8969997644871 & 0.603000235512895 \tabularnewline
61 & 4 & 3.94042848223165 & 0.0595715177683522 \tabularnewline
62 & 6.8 & 5.17375054137375 & 1.62624945862625 \tabularnewline
63 & 5.7 & 6.34347293613845 & -0.643472936138451 \tabularnewline
64 & 9.1 & 8.76817956489002 & 0.331820435109979 \tabularnewline
65 & 13.6 & 13.1501607632594 & 0.449839236740593 \tabularnewline
66 & 15 & 14.590396307646 & 0.409603692353994 \tabularnewline
67 & 20.9 & 22.5794279222334 & -1.67942792223343 \tabularnewline
68 & 20.4 & 20.9601369449912 & -0.56013694499121 \tabularnewline
69 & 14 & 13.9178366722478 & 0.0821633277521832 \tabularnewline
70 & 13.7 & 13.9423897123617 & -0.2423897123617 \tabularnewline
71 & 7.1 & 6.7420563605959 & 0.357943639404103 \tabularnewline
72 & 0.8 & 1.85301210816076 & -1.05301210816076 \tabularnewline
73 & 2.1 & 3.89470144532826 & -1.79470144532826 \tabularnewline
74 & 1.3 & 3.16168503531301 & -1.86168503531301 \tabularnewline
75 & 3.9 & 5.26980579324327 & -1.36980579324327 \tabularnewline
76 & 10.7 & 10.8192836454185 & -0.119283645418519 \tabularnewline
77 & 11.1 & 10.969181712443 & 0.130818287557026 \tabularnewline
78 & 16.4 & 15.9441809116418 & 0.455819088358215 \tabularnewline
79 & 17.1 & 16.9396599123794 & 0.160340087620576 \tabularnewline
80 & 17.3 & 17.1070554026736 & 0.192944597326401 \tabularnewline
81 & 12.9 & 12.1293453574686 & 0.770654642531369 \tabularnewline
82 & 10.9 & 10.0865243590107 & 0.813475640989349 \tabularnewline
83 & 5.3 & 5.05724337931002 & 0.242756620689976 \tabularnewline
84 & 0.7 & 2.7768713023131 & -2.0768713023131 \tabularnewline
85 & -0.2 & 1.76254279779215 & -1.96254279779215 \tabularnewline
86 & 6.5 & 6.04552166407429 & 0.454478335925711 \tabularnewline
87 & 8.6 & 7.76767399110722 & 0.832326008892783 \tabularnewline
88 & 8.5 & 8.63100699714087 & -0.131006997140871 \tabularnewline
89 & 13.3 & 12.8002030967122 & 0.499796903287801 \tabularnewline
90 & 16.2 & 16.3255372914166 & -0.12553729141662 \tabularnewline
91 & 17.5 & 18.2847487231645 & -0.784748723164516 \tabularnewline
92 & 21.2 & 22.7713594829596 & -1.57135948295958 \tabularnewline
93 & 14.8 & 14.7360940809549 & 0.0639059190450647 \tabularnewline
94 & 10.3 & 10.3766001799766 & -0.0766001799766323 \tabularnewline
95 & 7.3 & 7.09203194497326 & 0.207968055026738 \tabularnewline
96 & 5.1 & 4.93971912017709 & 0.160280879822914 \tabularnewline
97 & 4.4 & 4.82985093808896 & -0.429850938088956 \tabularnewline
98 & 6.2 & 6.29305395142695 & -0.0930539514269503 \tabularnewline
99 & 7.7 & 7.492592453576 & 0.207407546424006 \tabularnewline
100 & 9.3 & 8.97587221460264 & 0.324127785397363 \tabularnewline
101 & 15.6 & 15.2643078171399 & 0.335692182860137 \tabularnewline
102 & 16.3 & 16.6516914925431 & -0.351691492543136 \tabularnewline
103 & 16.6 & 16.8578685886827 & -0.257868588682707 \tabularnewline
104 & 17.4 & 17.0659916984179 & 0.334008301582085 \tabularnewline
105 & 15.3 & 15.2738564643263 & 0.0261435356736928 \tabularnewline
106 & 9.7 & 8.95612007557452 & 0.743879924425475 \tabularnewline
107 & 3.7 & 3.97479274563566 & -0.27479274563566 \tabularnewline
108 & 4.6 & 4.10141851795878 & 0.498581482041218 \tabularnewline
109 & 5.4 & 5.60590360465164 & -0.205903604651642 \tabularnewline
110 & 3.1 & 3.5190342943726 & -0.419034294372601 \tabularnewline
111 & 7.9 & 7.53946422181335 & 0.360535778186648 \tabularnewline
112 & 10.1 & 9.88336323529356 & 0.216636764706437 \tabularnewline
113 & 15 & 15.063810144857 & -0.0638101448569551 \tabularnewline
114 & 15.6 & 15.1905406633997 & 0.409459336600252 \tabularnewline
115 & 19.7 & 20.5057943044882 & -0.805794304488216 \tabularnewline
116 & 18.1 & 18.3017083251722 & -0.201708325172195 \tabularnewline
117 & 17.7 & 18.4324501428992 & -0.732450142899205 \tabularnewline
118 & 10.7 & 10.257361936115 & 0.442638063884979 \tabularnewline
119 & 6.2 & 5.74763612865196 & 0.452363871348038 \tabularnewline
120 & 4.2 & 3.77163955014029 & 0.428360449859707 \tabularnewline
121 & 4 & 3.71674876875881 & 0.283251231241189 \tabularnewline
122 & 5.9 & 5.292327331605 & 0.607672668395004 \tabularnewline
123 & 7.1 & 6.44771218135522 & 0.652287818644782 \tabularnewline
124 & 10.5 & 10.299024842251 & 0.200975157749016 \tabularnewline
125 & 15.1 & 15.158762293334 & -0.0587622933339502 \tabularnewline
126 & 16.8 & 17.2078323222615 & -0.407832322261452 \tabularnewline
127 & 15.3 & 15.8549765144121 & -0.554976514412088 \tabularnewline
128 & 18.4 & 19.0798034695453 & -0.679803469545256 \tabularnewline
129 & 16.1 & 16.6677731308184 & -0.567773130818393 \tabularnewline
130 & 11.3 & 10.881896050431 & 0.418103949568983 \tabularnewline
131 & 7.9 & 7.8429644384927 & 0.0570355615073051 \tabularnewline
132 & 5.6 & 6.09282694998897 & -0.492826949988966 \tabularnewline
133 & 3.4 & 3.39053536175141 & 0.00946463824858606 \tabularnewline
134 & 4.8 & 4.58274208622759 & 0.217257913772411 \tabularnewline
135 & 6.5 & 6.43687116338964 & 0.0631288366103547 \tabularnewline
136 & 8.5 & 7.95914487459643 & 0.540855125403574 \tabularnewline
137 & 15.1 & 14.6529802991083 & 0.447019700891682 \tabularnewline
138 & 15.7 & 15.3460027201499 & 0.353997279850129 \tabularnewline
139 & 18.7 & 19.8312673516029 & -1.13126735160285 \tabularnewline
140 & 19.2 & 19.777484271478 & -0.577484271477996 \tabularnewline
141 & 12.9 & 12.0767882593114 & 0.823211740688632 \tabularnewline
142 & 14.4 & 14.2218018625502 & 0.178198137449816 \tabularnewline
143 & 6.2 & 5.08769080726973 & 1.11230919273027 \tabularnewline
144 & 3.3 & 2.51834833994078 & 0.781651660059221 \tabularnewline
145 & 4.6 & 4.57769773454795 & 0.0223022654520469 \tabularnewline
146 & 7.2 & 7.08384616915352 & 0.116153830846484 \tabularnewline
147 & 7.8 & 7.91541293583372 & -0.115412935833722 \tabularnewline
148 & 9.9 & 9.71763422511969 & 0.182365774880314 \tabularnewline
149 & 13.6 & 13.1922825951706 & 0.407717404829354 \tabularnewline
150 & 17.1 & 17.1219713549613 & -0.0219713549613 \tabularnewline
151 & 17.8 & 18.1881456430314 & -0.388145643031368 \tabularnewline
152 & 18.6 & 19.4480009541226 & -0.84800095412263 \tabularnewline
153 & 14.7 & 14.1144372639402 & 0.585562736059844 \tabularnewline
154 & 10.5 & 9.98541022149624 & 0.51458977850376 \tabularnewline
155 & 8.6 & 7.69577686861104 & 0.904223131388959 \tabularnewline
156 & 4.4 & 4.59890704626816 & -0.198907046268158 \tabularnewline
157 & 2.3 & 3.59647612561538 & -1.29647612561538 \tabularnewline
158 & 2.8 & 4.3199943637391 & -1.5199943637391 \tabularnewline
159 & 8.8 & 8.67527843587327 & 0.124721564126736 \tabularnewline
160 & 10.7 & 10.7895747221937 & -0.08957472219366 \tabularnewline
161 & 13.9 & 13.1579018051914 & 0.74209819480858 \tabularnewline
162 & 19.3 & 19.986748346513 & -0.686748346513041 \tabularnewline
163 & 19.5 & 20.1788696872421 & -0.678869687242113 \tabularnewline
164 & 20.4 & 21.1940385555073 & -0.794038555507274 \tabularnewline
165 & 15.3 & 14.7984130121638 & 0.501586987836243 \tabularnewline
166 & 7.9 & 7.54959409259872 & 0.350405907401284 \tabularnewline
167 & 8.3 & 7.66140703189014 & 0.638592968109858 \tabularnewline
168 & 4.5 & 4.37027802933958 & 0.129721970660423 \tabularnewline
169 & 3.2 & 3.58403063920997 & -0.384030639209967 \tabularnewline
170 & 5 & 5.34025767176264 & -0.340257671762643 \tabularnewline
171 & 6.6 & 6.98098756065808 & -0.380987560658082 \tabularnewline
172 & 11.1 & 10.6557712258418 & 0.444228774158195 \tabularnewline
173 & 12.8 & 12.0837997026721 & 0.716200297327888 \tabularnewline
174 & 16.3 & 16.1358327998619 & 0.164167200138129 \tabularnewline
175 & 17.4 & 17.452832872823 & -0.0528328728229722 \tabularnewline
176 & 18.9 & 19.8956180876399 & -0.995618087639925 \tabularnewline
177 & 15.8 & 15.6843338501078 & 0.115666149892176 \tabularnewline
178 & 11.7 & 11.4460752459406 & 0.253924754059406 \tabularnewline
179 & 6.4 & 5.53447416847246 & 0.86552583152754 \tabularnewline
180 & 2.9 & 2.6909852660557 & 0.209014733944297 \tabularnewline
181 & 4.7 & 5.24242217872173 & -0.542422178721731 \tabularnewline
182 & 2.4 & 3.63067202229538 & -1.23067202229538 \tabularnewline
183 & 7.2 & 7.45074661644316 & -0.250746616443157 \tabularnewline
184 & 10.7 & 10.2450506440009 & 0.454949355999097 \tabularnewline
185 & 13.4 & 12.876160925907 & 0.523839074093005 \tabularnewline
186 & 18.5 & 18.0635656418356 & 0.436434358164388 \tabularnewline
187 & 18.3 & 19.0657604255219 & -0.765760425521923 \tabularnewline
188 & 16.8 & 17.0391132072216 & -0.239113207221551 \tabularnewline
189 & 16.6 & 16.9506819882238 & -0.35068198822377 \tabularnewline
190 & 14.1 & 13.7776959670285 & 0.322304032971539 \tabularnewline
191 & 6.1 & 5.48443905468278 & 0.615560945317219 \tabularnewline
192 & 3.5 & 3.34985151995595 & 0.15014848004405 \tabularnewline
193 & 1.7 & 2.82294227647861 & -1.12294227647861 \tabularnewline
194 & 2.3 & 2.85710676660645 & -0.557106766606453 \tabularnewline
195 & 4.5 & 5.75954724827446 & -1.25954724827446 \tabularnewline
196 & 9.3 & 8.92257416695976 & 0.377425833040241 \tabularnewline
197 & 14.2 & 13.5817223925465 & 0.61827760745347 \tabularnewline
198 & 17.3 & 16.9997208066213 & 0.300279193378719 \tabularnewline
199 & 23 & 23.8225947284494 & -0.82259472844943 \tabularnewline
200 & 16.3 & 16.2500330511003 & 0.0499669488997437 \tabularnewline
201 & 18.4 & 14.452015003416 & 3.94798499658404 \tabularnewline
202 & 14.2 & 14.08785159786 & 0.112148402140043 \tabularnewline
203 & 9.1 & 8.36700269012562 & 0.732997309874376 \tabularnewline
204 & 5.9 & 5.11201471850225 & 0.787985281497748 \tabularnewline
205 & 7.2 & 7.01184160648537 & 0.188158393514626 \tabularnewline
206 & 6.8 & 6.36244498868452 & 0.437555011315476 \tabularnewline
207 & 8 & 7.56256917139091 & 0.437430828609086 \tabularnewline
208 & 14.3 & 13.5480251555839 & 0.751974844416093 \tabularnewline
209 & 14.6 & 14.1219120571267 & 0.478087942873276 \tabularnewline
210 & 17.5 & 17.9092907189959 & -0.409290718995871 \tabularnewline
211 & 17.2 & 17.4439925983257 & -0.243992598325692 \tabularnewline
212 & 17.2 & 17.3045848822701 & -0.104584882270077 \tabularnewline
213 & 14.1 & 13.7281047127552 & 0.371895287244812 \tabularnewline
214 & 10.5 & 9.64445214677636 & 0.855547853223642 \tabularnewline
215 & 6.8 & 6.01072271758129 & 0.789277282418711 \tabularnewline
216 & 4.1 & 4.62245553758052 & -0.522455537580517 \tabularnewline
217 & 6.5 & 6.62014273552609 & -0.120142735526087 \tabularnewline
218 & 6.1 & 6.86530031893648 & -0.765300318936478 \tabularnewline
219 & 6.3 & 6.72931564405048 & -0.429315644050479 \tabularnewline
220 & 9.3 & 9.42370997916598 & -0.123709979165984 \tabularnewline
221 & 16.4 & 15.6537215225678 & 0.746278477432159 \tabularnewline
222 & 16.1 & 15.5727461966828 & 0.527253803317249 \tabularnewline
223 & 18 & 17.3899983673088 & 0.610001632691177 \tabularnewline
224 & 17.6 & 17.2730613934699 & 0.326938606530056 \tabularnewline
225 & 14 & 12.6953572196516 & 1.30464278034845 \tabularnewline
226 & 10.5 & 9.33271453839359 & 1.16728546160641 \tabularnewline
227 & 6.9 & 6.01291663017172 & 0.887083369828276 \tabularnewline
228 & 2.8 & 2.44317350617341 & 0.356826493826594 \tabularnewline
229 & 0.7 & 2.09164938181036 & -1.39164938181036 \tabularnewline
230 & 3.6 & 3.5762650341439 & 0.0237349658560997 \tabularnewline
231 & 6.7 & 6.5521562355246 & 0.147843764475399 \tabularnewline
232 & 12.5 & 10.5887868983037 & 1.91121310169628 \tabularnewline
233 & 14.4 & 13.3732150326929 & 1.02678496730711 \tabularnewline
234 & 16.5 & 15.941116470794 & 0.558883529206031 \tabularnewline
235 & 18.7 & 18.1083268293296 & 0.591673170670432 \tabularnewline
236 & 19.4 & 18.0926427679861 & 1.30735723201393 \tabularnewline
237 & 15.8 & 15.3662089923449 & 0.433791007655086 \tabularnewline
238 & 11.3 & 10.2295670694436 & 1.0704329305564 \tabularnewline
239 & 9.7 & 9.00455998366675 & 0.695440016333253 \tabularnewline
240 & 2.9 & 3.5185272393242 & -0.618527239324199 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116600&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]5.2[/C][C]5.181467224412[/C][C]0.0185327755879988[/C][/ROW]
[ROW][C]2[/C][C]7.9[/C][C]8.4806675365028[/C][C]-0.580667536502795[/C][/ROW]
[ROW][C]3[/C][C]8.7[/C][C]8.49638953593334[/C][C]0.203610464066655[/C][/ROW]
[ROW][C]4[/C][C]8.9[/C][C]9.06860893181788[/C][C]-0.168608931817875[/C][/ROW]
[ROW][C]5[/C][C]15.3[/C][C]14.5759703100405[/C][C]0.724029689959507[/C][/ROW]
[ROW][C]6[/C][C]15.4[/C][C]15.4476400114461[/C][C]-0.0476400114461066[/C][/ROW]
[ROW][C]7[/C][C]18.1[/C][C]18.3040642663188[/C][C]-0.204064266318766[/C][/ROW]
[ROW][C]8[/C][C]19.7[/C][C]20.697593125706[/C][C]-0.99759312570598[/C][/ROW]
[ROW][C]9[/C][C]13[/C][C]12.446290115693[/C][C]0.553709884307011[/C][/ROW]
[ROW][C]10[/C][C]12.6[/C][C]12.768897773257[/C][C]-0.168897773256978[/C][/ROW]
[ROW][C]11[/C][C]6.2[/C][C]5.86696307818842[/C][C]0.33303692181158[/C][/ROW]
[ROW][C]12[/C][C]3.5[/C][C]3.6547910565718[/C][C]-0.1547910565718[/C][/ROW]
[ROW][C]13[/C][C]3.4[/C][C]3.92321399992685[/C][C]-0.523213999926855[/C][/ROW]
[ROW][C]14[/C][C]0[/C][C]1.92096749610283[/C][C]-1.92096749610283[/C][/ROW]
[ROW][C]15[/C][C]9.5[/C][C]9.58935442405188[/C][C]-0.0893544240518823[/C][/ROW]
[ROW][C]16[/C][C]8.9[/C][C]9.04504563698406[/C][C]-0.145045636984062[/C][/ROW]
[ROW][C]17[/C][C]10.4[/C][C]9.95317878869518[/C][C]0.446821211304824[/C][/ROW]
[ROW][C]18[/C][C]13.2[/C][C]12.9025818983511[/C][C]0.297418101648924[/C][/ROW]
[ROW][C]19[/C][C]18.9[/C][C]19.372272609304[/C][C]-0.472272609303969[/C][/ROW]
[ROW][C]20[/C][C]19[/C][C]19.0166219479976[/C][C]-0.0166219479976069[/C][/ROW]
[ROW][C]21[/C][C]16.3[/C][C]16.117531685997[/C][C]0.182468314002957[/C][/ROW]
[ROW][C]22[/C][C]10.6[/C][C]10.0483712327843[/C][C]0.551628767215748[/C][/ROW]
[ROW][C]23[/C][C]5.8[/C][C]5.20978959499652[/C][C]0.59021040500348[/C][/ROW]
[ROW][C]24[/C][C]3.6[/C][C]3.77074027402462[/C][C]-0.170740274024619[/C][/ROW]
[ROW][C]25[/C][C]2.6[/C][C]2.8715047095003[/C][C]-0.271504709500302[/C][/ROW]
[ROW][C]26[/C][C]5[/C][C]4.75185068401329[/C][C]0.24814931598671[/C][/ROW]
[ROW][C]27[/C][C]7.3[/C][C]6.94322620407673[/C][C]0.356773795923268[/C][/ROW]
[ROW][C]28[/C][C]9.2[/C][C]9.10647727472616[/C][C]0.0935227252738379[/C][/ROW]
[ROW][C]29[/C][C]15.7[/C][C]15.1026208281238[/C][C]0.597379171876155[/C][/ROW]
[ROW][C]30[/C][C]16.8[/C][C]16.6317318782879[/C][C]0.168268121712146[/C][/ROW]
[ROW][C]31[/C][C]18.4[/C][C]19.0938503652455[/C][C]-0.693850365245544[/C][/ROW]
[ROW][C]32[/C][C]18.1[/C][C]19.2026118402874[/C][C]-1.10261184028742[/C][/ROW]
[ROW][C]33[/C][C]14.6[/C][C]14.4626138729636[/C][C]0.137386127036391[/C][/ROW]
[ROW][C]34[/C][C]7.8[/C][C]7.5112786981235[/C][C]0.288721301876494[/C][/ROW]
[ROW][C]35[/C][C]7.6[/C][C]7.1472654534463[/C][C]0.452734546553706[/C][/ROW]
[ROW][C]36[/C][C]3.8[/C][C]3.78941932420801[/C][C]0.0105806757919875[/C][/ROW]
[ROW][C]37[/C][C]5.6[/C][C]6.05650272107059[/C][C]-0.456502721070589[/C][/ROW]
[ROW][C]38[/C][C]2.2[/C][C]1.87439846549349[/C][C]0.325601534506513[/C][/ROW]
[ROW][C]39[/C][C]6.8[/C][C]7.66529032955347[/C][C]-0.865290329553468[/C][/ROW]
[ROW][C]40[/C][C]11.8[/C][C]11.7709358940478[/C][C]0.0290641059522393[/C][/ROW]
[ROW][C]41[/C][C]14.9[/C][C]15.1724360701322[/C][C]-0.272436070132217[/C][/ROW]
[ROW][C]42[/C][C]16.7[/C][C]16.6711384270626[/C][C]0.0288615729374281[/C][/ROW]
[ROW][C]43[/C][C]16.7[/C][C]17.0275929388578[/C][C]-0.327592938857818[/C][/ROW]
[ROW][C]44[/C][C]15.9[/C][C]15.9512916900024[/C][C]-0.0512916900023974[/C][/ROW]
[ROW][C]45[/C][C]13.6[/C][C]13.2123035468679[/C][C]0.387696453132087[/C][/ROW]
[ROW][C]46[/C][C]9.2[/C][C]8.83741512345024[/C][C]0.362584876549761[/C][/ROW]
[ROW][C]47[/C][C]2.8[/C][C]7.8451566029084[/C][C]-5.0451566029084[/C][/ROW]
[ROW][C]48[/C][C]2.5[/C][C]4.49107888630981[/C][C]-1.99107888630981[/C][/ROW]
[ROW][C]49[/C][C]4.8[/C][C]4.64125443524338[/C][C]0.158745564756625[/C][/ROW]
[ROW][C]50[/C][C]2.8[/C][C]4.1377432475151[/C][C]-1.3377432475151[/C][/ROW]
[ROW][C]51[/C][C]7.8[/C][C]7.5984806533197[/C][C]0.201519346680298[/C][/ROW]
[ROW][C]52[/C][C]9[/C][C]9.30243799677182[/C][C]-0.302437996771821[/C][/ROW]
[ROW][C]53[/C][C]12.9[/C][C]12.1650333207503[/C][C]0.73496667924975[/C][/ROW]
[ROW][C]54[/C][C]16.4[/C][C]16.2754644217292[/C][C]0.124535578270766[/C][/ROW]
[ROW][C]55[/C][C]21.8[/C][C]23.3684577704862[/C][C]-1.56845777048623[/C][/ROW]
[ROW][C]56[/C][C]17.8[/C][C]18.3686319374818[/C][C]-0.56863193748183[/C][/ROW]
[ROW][C]57[/C][C]13.5[/C][C]13.4644158031804[/C][C]0.0355841968196445[/C][/ROW]
[ROW][C]58[/C][C]10[/C][C]9.70100668245255[/C][C]0.298993317547449[/C][/ROW]
[ROW][C]59[/C][C]10.4[/C][C]9.66085620817065[/C][C]0.73914379182935[/C][/ROW]
[ROW][C]60[/C][C]5.5[/C][C]4.8969997644871[/C][C]0.603000235512895[/C][/ROW]
[ROW][C]61[/C][C]4[/C][C]3.94042848223165[/C][C]0.0595715177683522[/C][/ROW]
[ROW][C]62[/C][C]6.8[/C][C]5.17375054137375[/C][C]1.62624945862625[/C][/ROW]
[ROW][C]63[/C][C]5.7[/C][C]6.34347293613845[/C][C]-0.643472936138451[/C][/ROW]
[ROW][C]64[/C][C]9.1[/C][C]8.76817956489002[/C][C]0.331820435109979[/C][/ROW]
[ROW][C]65[/C][C]13.6[/C][C]13.1501607632594[/C][C]0.449839236740593[/C][/ROW]
[ROW][C]66[/C][C]15[/C][C]14.590396307646[/C][C]0.409603692353994[/C][/ROW]
[ROW][C]67[/C][C]20.9[/C][C]22.5794279222334[/C][C]-1.67942792223343[/C][/ROW]
[ROW][C]68[/C][C]20.4[/C][C]20.9601369449912[/C][C]-0.56013694499121[/C][/ROW]
[ROW][C]69[/C][C]14[/C][C]13.9178366722478[/C][C]0.0821633277521832[/C][/ROW]
[ROW][C]70[/C][C]13.7[/C][C]13.9423897123617[/C][C]-0.2423897123617[/C][/ROW]
[ROW][C]71[/C][C]7.1[/C][C]6.7420563605959[/C][C]0.357943639404103[/C][/ROW]
[ROW][C]72[/C][C]0.8[/C][C]1.85301210816076[/C][C]-1.05301210816076[/C][/ROW]
[ROW][C]73[/C][C]2.1[/C][C]3.89470144532826[/C][C]-1.79470144532826[/C][/ROW]
[ROW][C]74[/C][C]1.3[/C][C]3.16168503531301[/C][C]-1.86168503531301[/C][/ROW]
[ROW][C]75[/C][C]3.9[/C][C]5.26980579324327[/C][C]-1.36980579324327[/C][/ROW]
[ROW][C]76[/C][C]10.7[/C][C]10.8192836454185[/C][C]-0.119283645418519[/C][/ROW]
[ROW][C]77[/C][C]11.1[/C][C]10.969181712443[/C][C]0.130818287557026[/C][/ROW]
[ROW][C]78[/C][C]16.4[/C][C]15.9441809116418[/C][C]0.455819088358215[/C][/ROW]
[ROW][C]79[/C][C]17.1[/C][C]16.9396599123794[/C][C]0.160340087620576[/C][/ROW]
[ROW][C]80[/C][C]17.3[/C][C]17.1070554026736[/C][C]0.192944597326401[/C][/ROW]
[ROW][C]81[/C][C]12.9[/C][C]12.1293453574686[/C][C]0.770654642531369[/C][/ROW]
[ROW][C]82[/C][C]10.9[/C][C]10.0865243590107[/C][C]0.813475640989349[/C][/ROW]
[ROW][C]83[/C][C]5.3[/C][C]5.05724337931002[/C][C]0.242756620689976[/C][/ROW]
[ROW][C]84[/C][C]0.7[/C][C]2.7768713023131[/C][C]-2.0768713023131[/C][/ROW]
[ROW][C]85[/C][C]-0.2[/C][C]1.76254279779215[/C][C]-1.96254279779215[/C][/ROW]
[ROW][C]86[/C][C]6.5[/C][C]6.04552166407429[/C][C]0.454478335925711[/C][/ROW]
[ROW][C]87[/C][C]8.6[/C][C]7.76767399110722[/C][C]0.832326008892783[/C][/ROW]
[ROW][C]88[/C][C]8.5[/C][C]8.63100699714087[/C][C]-0.131006997140871[/C][/ROW]
[ROW][C]89[/C][C]13.3[/C][C]12.8002030967122[/C][C]0.499796903287801[/C][/ROW]
[ROW][C]90[/C][C]16.2[/C][C]16.3255372914166[/C][C]-0.12553729141662[/C][/ROW]
[ROW][C]91[/C][C]17.5[/C][C]18.2847487231645[/C][C]-0.784748723164516[/C][/ROW]
[ROW][C]92[/C][C]21.2[/C][C]22.7713594829596[/C][C]-1.57135948295958[/C][/ROW]
[ROW][C]93[/C][C]14.8[/C][C]14.7360940809549[/C][C]0.0639059190450647[/C][/ROW]
[ROW][C]94[/C][C]10.3[/C][C]10.3766001799766[/C][C]-0.0766001799766323[/C][/ROW]
[ROW][C]95[/C][C]7.3[/C][C]7.09203194497326[/C][C]0.207968055026738[/C][/ROW]
[ROW][C]96[/C][C]5.1[/C][C]4.93971912017709[/C][C]0.160280879822914[/C][/ROW]
[ROW][C]97[/C][C]4.4[/C][C]4.82985093808896[/C][C]-0.429850938088956[/C][/ROW]
[ROW][C]98[/C][C]6.2[/C][C]6.29305395142695[/C][C]-0.0930539514269503[/C][/ROW]
[ROW][C]99[/C][C]7.7[/C][C]7.492592453576[/C][C]0.207407546424006[/C][/ROW]
[ROW][C]100[/C][C]9.3[/C][C]8.97587221460264[/C][C]0.324127785397363[/C][/ROW]
[ROW][C]101[/C][C]15.6[/C][C]15.2643078171399[/C][C]0.335692182860137[/C][/ROW]
[ROW][C]102[/C][C]16.3[/C][C]16.6516914925431[/C][C]-0.351691492543136[/C][/ROW]
[ROW][C]103[/C][C]16.6[/C][C]16.8578685886827[/C][C]-0.257868588682707[/C][/ROW]
[ROW][C]104[/C][C]17.4[/C][C]17.0659916984179[/C][C]0.334008301582085[/C][/ROW]
[ROW][C]105[/C][C]15.3[/C][C]15.2738564643263[/C][C]0.0261435356736928[/C][/ROW]
[ROW][C]106[/C][C]9.7[/C][C]8.95612007557452[/C][C]0.743879924425475[/C][/ROW]
[ROW][C]107[/C][C]3.7[/C][C]3.97479274563566[/C][C]-0.27479274563566[/C][/ROW]
[ROW][C]108[/C][C]4.6[/C][C]4.10141851795878[/C][C]0.498581482041218[/C][/ROW]
[ROW][C]109[/C][C]5.4[/C][C]5.60590360465164[/C][C]-0.205903604651642[/C][/ROW]
[ROW][C]110[/C][C]3.1[/C][C]3.5190342943726[/C][C]-0.419034294372601[/C][/ROW]
[ROW][C]111[/C][C]7.9[/C][C]7.53946422181335[/C][C]0.360535778186648[/C][/ROW]
[ROW][C]112[/C][C]10.1[/C][C]9.88336323529356[/C][C]0.216636764706437[/C][/ROW]
[ROW][C]113[/C][C]15[/C][C]15.063810144857[/C][C]-0.0638101448569551[/C][/ROW]
[ROW][C]114[/C][C]15.6[/C][C]15.1905406633997[/C][C]0.409459336600252[/C][/ROW]
[ROW][C]115[/C][C]19.7[/C][C]20.5057943044882[/C][C]-0.805794304488216[/C][/ROW]
[ROW][C]116[/C][C]18.1[/C][C]18.3017083251722[/C][C]-0.201708325172195[/C][/ROW]
[ROW][C]117[/C][C]17.7[/C][C]18.4324501428992[/C][C]-0.732450142899205[/C][/ROW]
[ROW][C]118[/C][C]10.7[/C][C]10.257361936115[/C][C]0.442638063884979[/C][/ROW]
[ROW][C]119[/C][C]6.2[/C][C]5.74763612865196[/C][C]0.452363871348038[/C][/ROW]
[ROW][C]120[/C][C]4.2[/C][C]3.77163955014029[/C][C]0.428360449859707[/C][/ROW]
[ROW][C]121[/C][C]4[/C][C]3.71674876875881[/C][C]0.283251231241189[/C][/ROW]
[ROW][C]122[/C][C]5.9[/C][C]5.292327331605[/C][C]0.607672668395004[/C][/ROW]
[ROW][C]123[/C][C]7.1[/C][C]6.44771218135522[/C][C]0.652287818644782[/C][/ROW]
[ROW][C]124[/C][C]10.5[/C][C]10.299024842251[/C][C]0.200975157749016[/C][/ROW]
[ROW][C]125[/C][C]15.1[/C][C]15.158762293334[/C][C]-0.0587622933339502[/C][/ROW]
[ROW][C]126[/C][C]16.8[/C][C]17.2078323222615[/C][C]-0.407832322261452[/C][/ROW]
[ROW][C]127[/C][C]15.3[/C][C]15.8549765144121[/C][C]-0.554976514412088[/C][/ROW]
[ROW][C]128[/C][C]18.4[/C][C]19.0798034695453[/C][C]-0.679803469545256[/C][/ROW]
[ROW][C]129[/C][C]16.1[/C][C]16.6677731308184[/C][C]-0.567773130818393[/C][/ROW]
[ROW][C]130[/C][C]11.3[/C][C]10.881896050431[/C][C]0.418103949568983[/C][/ROW]
[ROW][C]131[/C][C]7.9[/C][C]7.8429644384927[/C][C]0.0570355615073051[/C][/ROW]
[ROW][C]132[/C][C]5.6[/C][C]6.09282694998897[/C][C]-0.492826949988966[/C][/ROW]
[ROW][C]133[/C][C]3.4[/C][C]3.39053536175141[/C][C]0.00946463824858606[/C][/ROW]
[ROW][C]134[/C][C]4.8[/C][C]4.58274208622759[/C][C]0.217257913772411[/C][/ROW]
[ROW][C]135[/C][C]6.5[/C][C]6.43687116338964[/C][C]0.0631288366103547[/C][/ROW]
[ROW][C]136[/C][C]8.5[/C][C]7.95914487459643[/C][C]0.540855125403574[/C][/ROW]
[ROW][C]137[/C][C]15.1[/C][C]14.6529802991083[/C][C]0.447019700891682[/C][/ROW]
[ROW][C]138[/C][C]15.7[/C][C]15.3460027201499[/C][C]0.353997279850129[/C][/ROW]
[ROW][C]139[/C][C]18.7[/C][C]19.8312673516029[/C][C]-1.13126735160285[/C][/ROW]
[ROW][C]140[/C][C]19.2[/C][C]19.777484271478[/C][C]-0.577484271477996[/C][/ROW]
[ROW][C]141[/C][C]12.9[/C][C]12.0767882593114[/C][C]0.823211740688632[/C][/ROW]
[ROW][C]142[/C][C]14.4[/C][C]14.2218018625502[/C][C]0.178198137449816[/C][/ROW]
[ROW][C]143[/C][C]6.2[/C][C]5.08769080726973[/C][C]1.11230919273027[/C][/ROW]
[ROW][C]144[/C][C]3.3[/C][C]2.51834833994078[/C][C]0.781651660059221[/C][/ROW]
[ROW][C]145[/C][C]4.6[/C][C]4.57769773454795[/C][C]0.0223022654520469[/C][/ROW]
[ROW][C]146[/C][C]7.2[/C][C]7.08384616915352[/C][C]0.116153830846484[/C][/ROW]
[ROW][C]147[/C][C]7.8[/C][C]7.91541293583372[/C][C]-0.115412935833722[/C][/ROW]
[ROW][C]148[/C][C]9.9[/C][C]9.71763422511969[/C][C]0.182365774880314[/C][/ROW]
[ROW][C]149[/C][C]13.6[/C][C]13.1922825951706[/C][C]0.407717404829354[/C][/ROW]
[ROW][C]150[/C][C]17.1[/C][C]17.1219713549613[/C][C]-0.0219713549613[/C][/ROW]
[ROW][C]151[/C][C]17.8[/C][C]18.1881456430314[/C][C]-0.388145643031368[/C][/ROW]
[ROW][C]152[/C][C]18.6[/C][C]19.4480009541226[/C][C]-0.84800095412263[/C][/ROW]
[ROW][C]153[/C][C]14.7[/C][C]14.1144372639402[/C][C]0.585562736059844[/C][/ROW]
[ROW][C]154[/C][C]10.5[/C][C]9.98541022149624[/C][C]0.51458977850376[/C][/ROW]
[ROW][C]155[/C][C]8.6[/C][C]7.69577686861104[/C][C]0.904223131388959[/C][/ROW]
[ROW][C]156[/C][C]4.4[/C][C]4.59890704626816[/C][C]-0.198907046268158[/C][/ROW]
[ROW][C]157[/C][C]2.3[/C][C]3.59647612561538[/C][C]-1.29647612561538[/C][/ROW]
[ROW][C]158[/C][C]2.8[/C][C]4.3199943637391[/C][C]-1.5199943637391[/C][/ROW]
[ROW][C]159[/C][C]8.8[/C][C]8.67527843587327[/C][C]0.124721564126736[/C][/ROW]
[ROW][C]160[/C][C]10.7[/C][C]10.7895747221937[/C][C]-0.08957472219366[/C][/ROW]
[ROW][C]161[/C][C]13.9[/C][C]13.1579018051914[/C][C]0.74209819480858[/C][/ROW]
[ROW][C]162[/C][C]19.3[/C][C]19.986748346513[/C][C]-0.686748346513041[/C][/ROW]
[ROW][C]163[/C][C]19.5[/C][C]20.1788696872421[/C][C]-0.678869687242113[/C][/ROW]
[ROW][C]164[/C][C]20.4[/C][C]21.1940385555073[/C][C]-0.794038555507274[/C][/ROW]
[ROW][C]165[/C][C]15.3[/C][C]14.7984130121638[/C][C]0.501586987836243[/C][/ROW]
[ROW][C]166[/C][C]7.9[/C][C]7.54959409259872[/C][C]0.350405907401284[/C][/ROW]
[ROW][C]167[/C][C]8.3[/C][C]7.66140703189014[/C][C]0.638592968109858[/C][/ROW]
[ROW][C]168[/C][C]4.5[/C][C]4.37027802933958[/C][C]0.129721970660423[/C][/ROW]
[ROW][C]169[/C][C]3.2[/C][C]3.58403063920997[/C][C]-0.384030639209967[/C][/ROW]
[ROW][C]170[/C][C]5[/C][C]5.34025767176264[/C][C]-0.340257671762643[/C][/ROW]
[ROW][C]171[/C][C]6.6[/C][C]6.98098756065808[/C][C]-0.380987560658082[/C][/ROW]
[ROW][C]172[/C][C]11.1[/C][C]10.6557712258418[/C][C]0.444228774158195[/C][/ROW]
[ROW][C]173[/C][C]12.8[/C][C]12.0837997026721[/C][C]0.716200297327888[/C][/ROW]
[ROW][C]174[/C][C]16.3[/C][C]16.1358327998619[/C][C]0.164167200138129[/C][/ROW]
[ROW][C]175[/C][C]17.4[/C][C]17.452832872823[/C][C]-0.0528328728229722[/C][/ROW]
[ROW][C]176[/C][C]18.9[/C][C]19.8956180876399[/C][C]-0.995618087639925[/C][/ROW]
[ROW][C]177[/C][C]15.8[/C][C]15.6843338501078[/C][C]0.115666149892176[/C][/ROW]
[ROW][C]178[/C][C]11.7[/C][C]11.4460752459406[/C][C]0.253924754059406[/C][/ROW]
[ROW][C]179[/C][C]6.4[/C][C]5.53447416847246[/C][C]0.86552583152754[/C][/ROW]
[ROW][C]180[/C][C]2.9[/C][C]2.6909852660557[/C][C]0.209014733944297[/C][/ROW]
[ROW][C]181[/C][C]4.7[/C][C]5.24242217872173[/C][C]-0.542422178721731[/C][/ROW]
[ROW][C]182[/C][C]2.4[/C][C]3.63067202229538[/C][C]-1.23067202229538[/C][/ROW]
[ROW][C]183[/C][C]7.2[/C][C]7.45074661644316[/C][C]-0.250746616443157[/C][/ROW]
[ROW][C]184[/C][C]10.7[/C][C]10.2450506440009[/C][C]0.454949355999097[/C][/ROW]
[ROW][C]185[/C][C]13.4[/C][C]12.876160925907[/C][C]0.523839074093005[/C][/ROW]
[ROW][C]186[/C][C]18.5[/C][C]18.0635656418356[/C][C]0.436434358164388[/C][/ROW]
[ROW][C]187[/C][C]18.3[/C][C]19.0657604255219[/C][C]-0.765760425521923[/C][/ROW]
[ROW][C]188[/C][C]16.8[/C][C]17.0391132072216[/C][C]-0.239113207221551[/C][/ROW]
[ROW][C]189[/C][C]16.6[/C][C]16.9506819882238[/C][C]-0.35068198822377[/C][/ROW]
[ROW][C]190[/C][C]14.1[/C][C]13.7776959670285[/C][C]0.322304032971539[/C][/ROW]
[ROW][C]191[/C][C]6.1[/C][C]5.48443905468278[/C][C]0.615560945317219[/C][/ROW]
[ROW][C]192[/C][C]3.5[/C][C]3.34985151995595[/C][C]0.15014848004405[/C][/ROW]
[ROW][C]193[/C][C]1.7[/C][C]2.82294227647861[/C][C]-1.12294227647861[/C][/ROW]
[ROW][C]194[/C][C]2.3[/C][C]2.85710676660645[/C][C]-0.557106766606453[/C][/ROW]
[ROW][C]195[/C][C]4.5[/C][C]5.75954724827446[/C][C]-1.25954724827446[/C][/ROW]
[ROW][C]196[/C][C]9.3[/C][C]8.92257416695976[/C][C]0.377425833040241[/C][/ROW]
[ROW][C]197[/C][C]14.2[/C][C]13.5817223925465[/C][C]0.61827760745347[/C][/ROW]
[ROW][C]198[/C][C]17.3[/C][C]16.9997208066213[/C][C]0.300279193378719[/C][/ROW]
[ROW][C]199[/C][C]23[/C][C]23.8225947284494[/C][C]-0.82259472844943[/C][/ROW]
[ROW][C]200[/C][C]16.3[/C][C]16.2500330511003[/C][C]0.0499669488997437[/C][/ROW]
[ROW][C]201[/C][C]18.4[/C][C]14.452015003416[/C][C]3.94798499658404[/C][/ROW]
[ROW][C]202[/C][C]14.2[/C][C]14.08785159786[/C][C]0.112148402140043[/C][/ROW]
[ROW][C]203[/C][C]9.1[/C][C]8.36700269012562[/C][C]0.732997309874376[/C][/ROW]
[ROW][C]204[/C][C]5.9[/C][C]5.11201471850225[/C][C]0.787985281497748[/C][/ROW]
[ROW][C]205[/C][C]7.2[/C][C]7.01184160648537[/C][C]0.188158393514626[/C][/ROW]
[ROW][C]206[/C][C]6.8[/C][C]6.36244498868452[/C][C]0.437555011315476[/C][/ROW]
[ROW][C]207[/C][C]8[/C][C]7.56256917139091[/C][C]0.437430828609086[/C][/ROW]
[ROW][C]208[/C][C]14.3[/C][C]13.5480251555839[/C][C]0.751974844416093[/C][/ROW]
[ROW][C]209[/C][C]14.6[/C][C]14.1219120571267[/C][C]0.478087942873276[/C][/ROW]
[ROW][C]210[/C][C]17.5[/C][C]17.9092907189959[/C][C]-0.409290718995871[/C][/ROW]
[ROW][C]211[/C][C]17.2[/C][C]17.4439925983257[/C][C]-0.243992598325692[/C][/ROW]
[ROW][C]212[/C][C]17.2[/C][C]17.3045848822701[/C][C]-0.104584882270077[/C][/ROW]
[ROW][C]213[/C][C]14.1[/C][C]13.7281047127552[/C][C]0.371895287244812[/C][/ROW]
[ROW][C]214[/C][C]10.5[/C][C]9.64445214677636[/C][C]0.855547853223642[/C][/ROW]
[ROW][C]215[/C][C]6.8[/C][C]6.01072271758129[/C][C]0.789277282418711[/C][/ROW]
[ROW][C]216[/C][C]4.1[/C][C]4.62245553758052[/C][C]-0.522455537580517[/C][/ROW]
[ROW][C]217[/C][C]6.5[/C][C]6.62014273552609[/C][C]-0.120142735526087[/C][/ROW]
[ROW][C]218[/C][C]6.1[/C][C]6.86530031893648[/C][C]-0.765300318936478[/C][/ROW]
[ROW][C]219[/C][C]6.3[/C][C]6.72931564405048[/C][C]-0.429315644050479[/C][/ROW]
[ROW][C]220[/C][C]9.3[/C][C]9.42370997916598[/C][C]-0.123709979165984[/C][/ROW]
[ROW][C]221[/C][C]16.4[/C][C]15.6537215225678[/C][C]0.746278477432159[/C][/ROW]
[ROW][C]222[/C][C]16.1[/C][C]15.5727461966828[/C][C]0.527253803317249[/C][/ROW]
[ROW][C]223[/C][C]18[/C][C]17.3899983673088[/C][C]0.610001632691177[/C][/ROW]
[ROW][C]224[/C][C]17.6[/C][C]17.2730613934699[/C][C]0.326938606530056[/C][/ROW]
[ROW][C]225[/C][C]14[/C][C]12.6953572196516[/C][C]1.30464278034845[/C][/ROW]
[ROW][C]226[/C][C]10.5[/C][C]9.33271453839359[/C][C]1.16728546160641[/C][/ROW]
[ROW][C]227[/C][C]6.9[/C][C]6.01291663017172[/C][C]0.887083369828276[/C][/ROW]
[ROW][C]228[/C][C]2.8[/C][C]2.44317350617341[/C][C]0.356826493826594[/C][/ROW]
[ROW][C]229[/C][C]0.7[/C][C]2.09164938181036[/C][C]-1.39164938181036[/C][/ROW]
[ROW][C]230[/C][C]3.6[/C][C]3.5762650341439[/C][C]0.0237349658560997[/C][/ROW]
[ROW][C]231[/C][C]6.7[/C][C]6.5521562355246[/C][C]0.147843764475399[/C][/ROW]
[ROW][C]232[/C][C]12.5[/C][C]10.5887868983037[/C][C]1.91121310169628[/C][/ROW]
[ROW][C]233[/C][C]14.4[/C][C]13.3732150326929[/C][C]1.02678496730711[/C][/ROW]
[ROW][C]234[/C][C]16.5[/C][C]15.941116470794[/C][C]0.558883529206031[/C][/ROW]
[ROW][C]235[/C][C]18.7[/C][C]18.1083268293296[/C][C]0.591673170670432[/C][/ROW]
[ROW][C]236[/C][C]19.4[/C][C]18.0926427679861[/C][C]1.30735723201393[/C][/ROW]
[ROW][C]237[/C][C]15.8[/C][C]15.3662089923449[/C][C]0.433791007655086[/C][/ROW]
[ROW][C]238[/C][C]11.3[/C][C]10.2295670694436[/C][C]1.0704329305564[/C][/ROW]
[ROW][C]239[/C][C]9.7[/C][C]9.00455998366675[/C][C]0.695440016333253[/C][/ROW]
[ROW][C]240[/C][C]2.9[/C][C]3.5185272393242[/C][C]-0.618527239324199[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116600&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116600&T=4

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	5.2	5.181467224412	0.0185327755879988
2	7.9	8.4806675365028	-0.580667536502795
3	8.7	8.49638953593334	0.203610464066655
4	8.9	9.06860893181788	-0.168608931817875
5	15.3	14.5759703100405	0.724029689959507
6	15.4	15.4476400114461	-0.0476400114461066
7	18.1	18.3040642663188	-0.204064266318766
8	19.7	20.697593125706	-0.99759312570598
9	13	12.446290115693	0.553709884307011
10	12.6	12.768897773257	-0.168897773256978
11	6.2	5.86696307818842	0.33303692181158
12	3.5	3.6547910565718	-0.1547910565718
13	3.4	3.92321399992685	-0.523213999926855
14	0	1.92096749610283	-1.92096749610283
15	9.5	9.58935442405188	-0.0893544240518823
16	8.9	9.04504563698406	-0.145045636984062
17	10.4	9.95317878869518	0.446821211304824
18	13.2	12.9025818983511	0.297418101648924
19	18.9	19.372272609304	-0.472272609303969
20	19	19.0166219479976	-0.0166219479976069
21	16.3	16.117531685997	0.182468314002957
22	10.6	10.0483712327843	0.551628767215748
23	5.8	5.20978959499652	0.59021040500348
24	3.6	3.77074027402462	-0.170740274024619
25	2.6	2.8715047095003	-0.271504709500302
26	5	4.75185068401329	0.24814931598671
27	7.3	6.94322620407673	0.356773795923268
28	9.2	9.10647727472616	0.0935227252738379
29	15.7	15.1026208281238	0.597379171876155
30	16.8	16.6317318782879	0.168268121712146
31	18.4	19.0938503652455	-0.693850365245544
32	18.1	19.2026118402874	-1.10261184028742
33	14.6	14.4626138729636	0.137386127036391
34	7.8	7.5112786981235	0.288721301876494
35	7.6	7.1472654534463	0.452734546553706
36	3.8	3.78941932420801	0.0105806757919875
37	5.6	6.05650272107059	-0.456502721070589
38	2.2	1.87439846549349	0.325601534506513
39	6.8	7.66529032955347	-0.865290329553468
40	11.8	11.7709358940478	0.0290641059522393
41	14.9	15.1724360701322	-0.272436070132217
42	16.7	16.6711384270626	0.0288615729374281
43	16.7	17.0275929388578	-0.327592938857818
44	15.9	15.9512916900024	-0.0512916900023974
45	13.6	13.2123035468679	0.387696453132087
46	9.2	8.83741512345024	0.362584876549761
47	2.8	7.8451566029084	-5.0451566029084
48	2.5	4.49107888630981	-1.99107888630981
49	4.8	4.64125443524338	0.158745564756625
50	2.8	4.1377432475151	-1.3377432475151
51	7.8	7.5984806533197	0.201519346680298
52	9	9.30243799677182	-0.302437996771821
53	12.9	12.1650333207503	0.73496667924975
54	16.4	16.2754644217292	0.124535578270766
55	21.8	23.3684577704862	-1.56845777048623
56	17.8	18.3686319374818	-0.56863193748183
57	13.5	13.4644158031804	0.0355841968196445
58	10	9.70100668245255	0.298993317547449
59	10.4	9.66085620817065	0.73914379182935
60	5.5	4.8969997644871	0.603000235512895
61	4	3.94042848223165	0.0595715177683522
62	6.8	5.17375054137375	1.62624945862625
63	5.7	6.34347293613845	-0.643472936138451
64	9.1	8.76817956489002	0.331820435109979
65	13.6	13.1501607632594	0.449839236740593
66	15	14.590396307646	0.409603692353994
67	20.9	22.5794279222334	-1.67942792223343
68	20.4	20.9601369449912	-0.56013694499121
69	14	13.9178366722478	0.0821633277521832
70	13.7	13.9423897123617	-0.2423897123617
71	7.1	6.7420563605959	0.357943639404103
72	0.8	1.85301210816076	-1.05301210816076
73	2.1	3.89470144532826	-1.79470144532826
74	1.3	3.16168503531301	-1.86168503531301
75	3.9	5.26980579324327	-1.36980579324327
76	10.7	10.8192836454185	-0.119283645418519
77	11.1	10.969181712443	0.130818287557026
78	16.4	15.9441809116418	0.455819088358215
79	17.1	16.9396599123794	0.160340087620576
80	17.3	17.1070554026736	0.192944597326401
81	12.9	12.1293453574686	0.770654642531369
82	10.9	10.0865243590107	0.813475640989349
83	5.3	5.05724337931002	0.242756620689976
84	0.7	2.7768713023131	-2.0768713023131
85	-0.2	1.76254279779215	-1.96254279779215
86	6.5	6.04552166407429	0.454478335925711
87	8.6	7.76767399110722	0.832326008892783
88	8.5	8.63100699714087	-0.131006997140871
89	13.3	12.8002030967122	0.499796903287801
90	16.2	16.3255372914166	-0.12553729141662
91	17.5	18.2847487231645	-0.784748723164516
92	21.2	22.7713594829596	-1.57135948295958
93	14.8	14.7360940809549	0.0639059190450647
94	10.3	10.3766001799766	-0.0766001799766323
95	7.3	7.09203194497326	0.207968055026738
96	5.1	4.93971912017709	0.160280879822914
97	4.4	4.82985093808896	-0.429850938088956
98	6.2	6.29305395142695	-0.0930539514269503
99	7.7	7.492592453576	0.207407546424006
100	9.3	8.97587221460264	0.324127785397363
101	15.6	15.2643078171399	0.335692182860137
102	16.3	16.6516914925431	-0.351691492543136
103	16.6	16.8578685886827	-0.257868588682707
104	17.4	17.0659916984179	0.334008301582085
105	15.3	15.2738564643263	0.0261435356736928
106	9.7	8.95612007557452	0.743879924425475
107	3.7	3.97479274563566	-0.27479274563566
108	4.6	4.10141851795878	0.498581482041218
109	5.4	5.60590360465164	-0.205903604651642
110	3.1	3.5190342943726	-0.419034294372601
111	7.9	7.53946422181335	0.360535778186648
112	10.1	9.88336323529356	0.216636764706437
113	15	15.063810144857	-0.0638101448569551
114	15.6	15.1905406633997	0.409459336600252
115	19.7	20.5057943044882	-0.805794304488216
116	18.1	18.3017083251722	-0.201708325172195
117	17.7	18.4324501428992	-0.732450142899205
118	10.7	10.257361936115	0.442638063884979
119	6.2	5.74763612865196	0.452363871348038
120	4.2	3.77163955014029	0.428360449859707
121	4	3.71674876875881	0.283251231241189
122	5.9	5.292327331605	0.607672668395004
123	7.1	6.44771218135522	0.652287818644782
124	10.5	10.299024842251	0.200975157749016
125	15.1	15.158762293334	-0.0587622933339502
126	16.8	17.2078323222615	-0.407832322261452
127	15.3	15.8549765144121	-0.554976514412088
128	18.4	19.0798034695453	-0.679803469545256
129	16.1	16.6677731308184	-0.567773130818393
130	11.3	10.881896050431	0.418103949568983
131	7.9	7.8429644384927	0.0570355615073051
132	5.6	6.09282694998897	-0.492826949988966
133	3.4	3.39053536175141	0.00946463824858606
134	4.8	4.58274208622759	0.217257913772411
135	6.5	6.43687116338964	0.0631288366103547
136	8.5	7.95914487459643	0.540855125403574
137	15.1	14.6529802991083	0.447019700891682
138	15.7	15.3460027201499	0.353997279850129
139	18.7	19.8312673516029	-1.13126735160285
140	19.2	19.777484271478	-0.577484271477996
141	12.9	12.0767882593114	0.823211740688632
142	14.4	14.2218018625502	0.178198137449816
143	6.2	5.08769080726973	1.11230919273027
144	3.3	2.51834833994078	0.781651660059221
145	4.6	4.57769773454795	0.0223022654520469
146	7.2	7.08384616915352	0.116153830846484
147	7.8	7.91541293583372	-0.115412935833722
148	9.9	9.71763422511969	0.182365774880314
149	13.6	13.1922825951706	0.407717404829354
150	17.1	17.1219713549613	-0.0219713549613
151	17.8	18.1881456430314	-0.388145643031368
152	18.6	19.4480009541226	-0.84800095412263
153	14.7	14.1144372639402	0.585562736059844
154	10.5	9.98541022149624	0.51458977850376
155	8.6	7.69577686861104	0.904223131388959
156	4.4	4.59890704626816	-0.198907046268158
157	2.3	3.59647612561538	-1.29647612561538
158	2.8	4.3199943637391	-1.5199943637391
159	8.8	8.67527843587327	0.124721564126736
160	10.7	10.7895747221937	-0.08957472219366
161	13.9	13.1579018051914	0.74209819480858
162	19.3	19.986748346513	-0.686748346513041
163	19.5	20.1788696872421	-0.678869687242113
164	20.4	21.1940385555073	-0.794038555507274
165	15.3	14.7984130121638	0.501586987836243
166	7.9	7.54959409259872	0.350405907401284
167	8.3	7.66140703189014	0.638592968109858
168	4.5	4.37027802933958	0.129721970660423
169	3.2	3.58403063920997	-0.384030639209967
170	5	5.34025767176264	-0.340257671762643
171	6.6	6.98098756065808	-0.380987560658082
172	11.1	10.6557712258418	0.444228774158195
173	12.8	12.0837997026721	0.716200297327888
174	16.3	16.1358327998619	0.164167200138129
175	17.4	17.452832872823	-0.0528328728229722
176	18.9	19.8956180876399	-0.995618087639925
177	15.8	15.6843338501078	0.115666149892176
178	11.7	11.4460752459406	0.253924754059406
179	6.4	5.53447416847246	0.86552583152754
180	2.9	2.6909852660557	0.209014733944297
181	4.7	5.24242217872173	-0.542422178721731
182	2.4	3.63067202229538	-1.23067202229538
183	7.2	7.45074661644316	-0.250746616443157
184	10.7	10.2450506440009	0.454949355999097
185	13.4	12.876160925907	0.523839074093005
186	18.5	18.0635656418356	0.436434358164388
187	18.3	19.0657604255219	-0.765760425521923
188	16.8	17.0391132072216	-0.239113207221551
189	16.6	16.9506819882238	-0.35068198822377
190	14.1	13.7776959670285	0.322304032971539
191	6.1	5.48443905468278	0.615560945317219
192	3.5	3.34985151995595	0.15014848004405
193	1.7	2.82294227647861	-1.12294227647861
194	2.3	2.85710676660645	-0.557106766606453
195	4.5	5.75954724827446	-1.25954724827446
196	9.3	8.92257416695976	0.377425833040241
197	14.2	13.5817223925465	0.61827760745347
198	17.3	16.9997208066213	0.300279193378719
199	23	23.8225947284494	-0.82259472844943
200	16.3	16.2500330511003	0.0499669488997437
201	18.4	14.452015003416	3.94798499658404
202	14.2	14.08785159786	0.112148402140043
203	9.1	8.36700269012562	0.732997309874376
204	5.9	5.11201471850225	0.787985281497748
205	7.2	7.01184160648537	0.188158393514626
206	6.8	6.36244498868452	0.437555011315476
207	8	7.56256917139091	0.437430828609086
208	14.3	13.5480251555839	0.751974844416093
209	14.6	14.1219120571267	0.478087942873276
210	17.5	17.9092907189959	-0.409290718995871
211	17.2	17.4439925983257	-0.243992598325692
212	17.2	17.3045848822701	-0.104584882270077
213	14.1	13.7281047127552	0.371895287244812
214	10.5	9.64445214677636	0.855547853223642
215	6.8	6.01072271758129	0.789277282418711
216	4.1	4.62245553758052	-0.522455537580517
217	6.5	6.62014273552609	-0.120142735526087
218	6.1	6.86530031893648	-0.765300318936478
219	6.3	6.72931564405048	-0.429315644050479
220	9.3	9.42370997916598	-0.123709979165984
221	16.4	15.6537215225678	0.746278477432159
222	16.1	15.5727461966828	0.527253803317249
223	18	17.3899983673088	0.610001632691177
224	17.6	17.2730613934699	0.326938606530056
225	14	12.6953572196516	1.30464278034845
226	10.5	9.33271453839359	1.16728546160641
227	6.9	6.01291663017172	0.887083369828276
228	2.8	2.44317350617341	0.356826493826594
229	0.7	2.09164938181036	-1.39164938181036
230	3.6	3.5762650341439	0.0237349658560997
231	6.7	6.5521562355246	0.147843764475399
232	12.5	10.5887868983037	1.91121310169628
233	14.4	13.3732150326929	1.02678496730711
234	16.5	15.941116470794	0.558883529206031
235	18.7	18.1083268293296	0.591673170670432
236	19.4	18.0926427679861	1.30735723201393
237	15.8	15.3662089923449	0.433791007655086
238	11.3	10.2295670694436	1.0704329305564
239	9.7	9.00455998366675	0.695440016333253
240	2.9	3.5185272393242	-0.618527239324199

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
10	0.317694159038733	0.635388318077466	0.682305840961267
11	0.252026691973136	0.504053383946271	0.747973308026864
12	0.151834677095673	0.303669354191345	0.848165322904327
13	0.0817606348578196	0.163521269715639	0.91823936514218
14	0.686535271763796	0.626929456472409	0.313464728236204
15	0.589801613255132	0.820396773489737	0.410198386744868
16	0.495776327418224	0.991552654836447	0.504223672581776
17	0.438681789811803	0.877363579623606	0.561318210188197
18	0.362322868298441	0.724645736596882	0.637677131701559
19	0.301381243433317	0.602762486866635	0.698618756566683
20	0.230446679803674	0.460893359607349	0.769553320196326
21	0.175326315529173	0.350652631058347	0.824673684470827
22	0.158609126877609	0.317218253755218	0.841390873122391
23	0.197970516500189	0.395941033000379	0.80202948349981
24	0.148590437991834	0.297180875983667	0.851409562008166
25	0.10918269910293	0.218365398205861	0.89081730089707
26	0.086130996016183	0.172261992032366	0.913869003983817
27	0.0682375018553552	0.13647500371071	0.931762498144645
28	0.0477630247233106	0.0955260494466213	0.95223697527669
29	0.0428288427316858	0.0856576854633715	0.957171157268314
30	0.0293714586538174	0.0587429173076348	0.970628541346183
31	0.0287632446813745	0.057526489362749	0.971236755318626
32	0.0365032817187392	0.0730065634374784	0.96349671828126
33	0.0263001915179531	0.0526003830359062	0.973699808482047
34	0.0186925226790582	0.0373850453581164	0.981307477320942
35	0.016023387267565	0.0320467745351299	0.983976612732435
36	0.0107250229870274	0.0214500459740547	0.989274977012973
37	0.00746634752816261	0.0149326950563252	0.992533652471837
38	0.00545962081575182	0.0109192416315036	0.994540379184248
39	0.00787143334436567	0.0157428666887313	0.992128566655634
40	0.00522242829799584	0.0104448565959917	0.994777571702004
41	0.00354001363592581	0.00708002727185162	0.996459986364074
42	0.00230430990745671	0.00460861981491341	0.997695690092543
43	0.00149573225983936	0.00299146451967872	0.99850426774016
44	0.00093324763411502	0.00186649526823004	0.999066752365885
45	0.000667203852668414	0.00133440770533683	0.999332796147332
46	0.000459637851063891	0.000919275702127783	0.999540362148936
47	0.950005038515325	0.0999899229693492	0.0499949614846746
48	0.9786902814783	0.0426194370433976	0.0213097185216988
49	0.973927833258227	0.0521443334835462	0.0260721667417731
50	0.982882772744397	0.0342344545112059	0.0171172272556029
51	0.979051459974938	0.0418970800501231	0.0209485400250616
52	0.973375056876131	0.0532498862477375	0.0266249431238687
53	0.973155892732975	0.0536882145340507	0.0268441072670254
54	0.965908403909774	0.0681831921804528	0.0340915960902264
55	0.980061091006063	0.0398778179878734	0.0199389089939367
56	0.975650764860362	0.0486984702792752	0.0243492351396376
57	0.970471363662203	0.0590572726755935	0.0295286363377967
58	0.964845476567112	0.0703090468657768	0.0351545234328884
59	0.965734909291524	0.0685301814169514	0.0342650907084757
60	0.96769880531965	0.0646023893606992	0.0323011946803496
61	0.960648041253375	0.078703917493249	0.0393519587466245
62	0.980916067639204	0.038167864721591	0.0190839323607955
63	0.978763317675656	0.0424733646486879	0.0212366823243439
64	0.974067158295578	0.0518656834088441	0.0259328417044221
65	0.970073515141275	0.0598529697174492	0.0299264848587246
66	0.965854869910785	0.0682902601784294	0.0341451300892147
67	0.981298793760939	0.037402412478123	0.0187012062390615
68	0.97782933422512	0.0443413315497608	0.0221706657748804
69	0.971844433094854	0.0563111338102928	0.0281555669051464
70	0.96499713641238	0.070005727175242	0.035002863587621
71	0.958227280986649	0.0835454380267022	0.0417727190133511
72	0.962995179538555	0.0740096409228907	0.0370048204614454
73	0.985222948289466	0.0295541034210689	0.0147770517105345
74	0.994924367882305	0.0101512642353904	0.00507563211769522
75	0.99670505721017	0.00658988557965912	0.00329494278982956
76	0.995621517416128	0.00875696516774333	0.00437848258387166
77	0.994261869540782	0.0114762609184366	0.0057381304592183
78	0.99326946076493	0.013461078470139	0.0067305392350695
79	0.991322871744401	0.0173542565111971	0.00867712825559854
80	0.98907322052199	0.0218535589560207	0.0109267794780104
81	0.989385741384984	0.0212285172300322	0.0106142586150161
82	0.990073670541273	0.0198526589174537	0.00992632945872684
83	0.987903395462673	0.0241932090746546	0.0120966045373273
84	0.99705128578636	0.00589742842728082	0.00294871421364041
85	0.999329627677652	0.00134074464469561	0.000670372322347805
86	0.999160857170797	0.00167828565840661	0.000839142829203303
87	0.99921500783769	0.00156998432461884	0.00078499216230942
88	0.99893898081781	0.00212203836438041	0.0010610191821902
89	0.998778268875284	0.00244346224943132	0.00122173112471566
90	0.99834101995407	0.00331796009185864	0.00165898004592932
91	0.998296201574881	0.00340759685023719	0.0017037984251186
92	0.999304867993656	0.00139026401268824	0.000695132006344119
93	0.999061483778074	0.00187703244385216	0.000938516221926079
94	0.998719101196274	0.00256179760745119	0.0012808988037256
95	0.998375212768915	0.00324957446216989	0.00162478723108495
96	0.997865388913446	0.00426922217310816	0.00213461108655408
97	0.997360978959076	0.00527804208184697	0.00263902104092349
98	0.996604546606246	0.00679090678750866	0.00339545339375433
99	0.99556328847282	0.00887342305436129	0.00443671152718065
100	0.994580685917237	0.0108386281655268	0.00541931408276341
101	0.993322837893589	0.0133543242128223	0.00667716210641113
102	0.991725969406184	0.0165480611876313	0.00827403059381563
103	0.989780243137994	0.0204395137240112	0.0102197568620056
104	0.987673375952202	0.0246532480955971	0.0123266240477985
105	0.984347607653639	0.0313047846927223	0.0156523923463611
106	0.984244428223228	0.0315111435535449	0.0157555717767724
107	0.980854943212408	0.0382901135751845	0.0191450567875922
108	0.978190745032722	0.0436185099345561	0.021809254967278
109	0.973059823164487	0.0538803536710256	0.0269401768355128
110	0.968860430895278	0.0622791382094445	0.0311395691047223
111	0.963774309437062	0.0724513811258768	0.0362256905629384
112	0.956677678966279	0.086644642067443	0.0433223210337215
113	0.947777530219117	0.104444939561766	0.0522224697808829
114	0.940577844878944	0.118844310242111	0.0594221551210557
115	0.941097878725091	0.117804242549818	0.058902121274909
116	0.93030764795166	0.13938470409668	0.0696923520483402
117	0.931204014377268	0.137591971245464	0.0687959856227322
118	0.922828650656934	0.154342698686132	0.077171349343066
119	0.913329554719397	0.173340890561207	0.0866704452806034
120	0.904608077124852	0.190783845750296	0.0953919228751482
121	0.890107586743104	0.219784826513791	0.109892413256896
122	0.8837230526608	0.232553894678401	0.116276947339201
123	0.87667000469955	0.246659990600898	0.123329995300449
124	0.859148096653004	0.281703806693991	0.140851903346996
125	0.837681412254658	0.324637175490684	0.162318587745342
126	0.822241847580964	0.355516304838073	0.177758152419036
127	0.810533348729355	0.378933302541289	0.189466651270645
128	0.813574355397017	0.372851289205967	0.186425644602983
129	0.810709468431235	0.378581063137531	0.189290531568765
130	0.791509516995898	0.416980966008205	0.208490483004102
131	0.763997214220096	0.472005571559808	0.236002785779904
132	0.754808614021799	0.490382771956403	0.245191385978201
133	0.725028826945475	0.54994234610905	0.274971173054525
134	0.695102938893982	0.609794122212037	0.304897061106018
135	0.664145803393355	0.67170839321329	0.335854196606645
136	0.650104637482265	0.699790725035469	0.349895362517735
137	0.625883146910602	0.748233706178797	0.374116853089398
138	0.596377696677686	0.807244606644628	0.403622303322314
139	0.63899014235645	0.7220197152871	0.36100985764355
140	0.639991856982856	0.720016286034288	0.360008143017144
141	0.659376054532284	0.681247890935433	0.340623945467716
142	0.627364047646529	0.745271904706942	0.372635952353471
143	0.677112972395401	0.645774055209197	0.322887027604599
144	0.690832013210112	0.618335973579775	0.309167986789888
145	0.657394739483624	0.685210521032751	0.342605260516376
146	0.649567634461265	0.70086473107747	0.350432365538735
147	0.61310602355397	0.773787952892059	0.38689397644603
148	0.577849121844893	0.844301756310215	0.422150878155107
149	0.547379835504673	0.905240328990654	0.452620164495327
150	0.511150588011184	0.977698823977631	0.488849411988816
151	0.486575900367765	0.97315180073553	0.513424099632235
152	0.482160682729693	0.964321365459386	0.517839317270307
153	0.458957997334748	0.917915994669496	0.541042002665252
154	0.435035992091479	0.870071984182957	0.564964007908521
155	0.432120480359815	0.86424096071963	0.567879519640185
156	0.394636150934929	0.789272301869858	0.605363849065071
157	0.436988748717121	0.873977497434241	0.56301125128288
158	0.547555093714559	0.904889812570883	0.452444906285441
159	0.50902330303161	0.98195339393678	0.49097669696839
160	0.470557046056746	0.94111409211349	0.529442953943254
161	0.466527642330007	0.933055284660014	0.533472357669993
162	0.498147119191219	0.996294238382438	0.501852880808781
163	0.517832739413877	0.964334521172246	0.482167260586123
164	0.5917159559399	0.816568088120199	0.408284044060099
165	0.562171174810207	0.875657650379586	0.437828825189793
166	0.52504080453322	0.94991839093356	0.47495919546678
167	0.498120016905365	0.99624003381073	0.501879983094635
168	0.457197243781976	0.914394487563952	0.542802756218024
169	0.421181145843275	0.84236229168655	0.578818854156725
170	0.390746231506163	0.781492463012326	0.609253768493837
171	0.371656532344888	0.743313064689777	0.628343467655112
172	0.340568494751107	0.681136989502213	0.659431505248893
173	0.31923553861622	0.63847107723244	0.68076446138378
174	0.283718674044329	0.567437348088657	0.716281325955671
175	0.249139322110096	0.498278644220192	0.750860677889904
176	0.299846296506819	0.599692593013638	0.700153703493181
177	0.264652363612985	0.529304727225969	0.735347636387015
178	0.236282526155761	0.472565052311522	0.763717473844239
179	0.245050361576853	0.490100723153706	0.754949638423147
180	0.214295059773244	0.428590119546488	0.785704940226756
181	0.198052166902409	0.396104333804818	0.801947833097591
182	0.221458547242653	0.442917094485305	0.778541452757348
183	0.210393755230808	0.420787510461615	0.789606244769192
184	0.185189566573495	0.37037913314699	0.814810433426505
185	0.163112468676608	0.326224937353215	0.836887531323392
186	0.140309675459617	0.280619350919235	0.859690324540383
187	0.149484795560909	0.298969591121817	0.850515204439091
188	0.145310730716671	0.290621461433343	0.854689269283329
189	0.150404034380749	0.300808068761497	0.849595965619251
190	0.133233280704792	0.266466561409585	0.866766719295208
191	0.113881834296292	0.227763668592583	0.886118165703708
192	0.0933872178085625	0.186774435617125	0.906612782191437
193	0.136002471384997	0.272004942769994	0.863997528615003
194	0.125923009904489	0.251846019808978	0.87407699009551
195	0.193400671431811	0.386801342863623	0.806599328568189
196	0.164406494961496	0.328812989922992	0.835593505038504
197	0.150965164669223	0.301930329338447	0.849034835330777
198	0.135891367826729	0.271782735653458	0.864108632173271
199	0.281038863217479	0.562077726434959	0.71896113678252
200	0.252208609324373	0.504417218648746	0.747791390675627
201	0.937750883417748	0.124498233164504	0.062249116582252
202	0.925471520350425	0.149056959299151	0.0745284796495754
203	0.908232449668565	0.18353510066287	0.0917675503314352
204	0.904393871499016	0.191212257001968	0.0956061285009842
205	0.880631458809395	0.238737082381209	0.119368541190605
206	0.859729168250148	0.280541663499705	0.140270831749852
207	0.82465058860876	0.35069882278248	0.17534941139124
208	0.791129652715196	0.417740694569608	0.208870347284804
209	0.745222316675733	0.509555366648533	0.254777683324267
210	0.766206146587234	0.467587706825531	0.233793853412766
211	0.81887852081285	0.3622429583743	0.18112147918715
212	0.852392653221065	0.295214693557869	0.147607346778935
213	0.831476328675142	0.337047342649716	0.168523671324858
214	0.788688880399304	0.422622239201391	0.211311119600696
215	0.775281880581459	0.449436238837082	0.224718119418541
216	0.72396144396278	0.552077112074441	0.27603855603722
217	0.657485106916074	0.685029786167853	0.342514893083926
218	0.68012503383691	0.63974993232618	0.31987496616309
219	0.620738120361565	0.75852375927687	0.379261879638435
220	0.562049936214873	0.875900127570255	0.437950063785127
221	0.490956618988773	0.981913237977546	0.509043381011227
222	0.425540366142265	0.85108073228453	0.574459633857735
223	0.361847794230809	0.723695588461618	0.638152205769191
224	0.388284142619596	0.776568285239192	0.611715857380404
225	0.322524623045672	0.645049246091344	0.677475376954328
226	0.414630197632958	0.829260395265915	0.585369802367042
227	0.412230397666476	0.824460795332952	0.587769602333524
228	0.670089713360867	0.659820573278266	0.329910286639133
229	0.54729545671525	0.9054090865695	0.45270454328475
230	0.821844565118557	0.356310869762886	0.178155434881443

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.317694159038733 & 0.635388318077466 & 0.682305840961267 \tabularnewline
11 & 0.252026691973136 & 0.504053383946271 & 0.747973308026864 \tabularnewline
12 & 0.151834677095673 & 0.303669354191345 & 0.848165322904327 \tabularnewline
13 & 0.0817606348578196 & 0.163521269715639 & 0.91823936514218 \tabularnewline
14 & 0.686535271763796 & 0.626929456472409 & 0.313464728236204 \tabularnewline
15 & 0.589801613255132 & 0.820396773489737 & 0.410198386744868 \tabularnewline
16 & 0.495776327418224 & 0.991552654836447 & 0.504223672581776 \tabularnewline
17 & 0.438681789811803 & 0.877363579623606 & 0.561318210188197 \tabularnewline
18 & 0.362322868298441 & 0.724645736596882 & 0.637677131701559 \tabularnewline
19 & 0.301381243433317 & 0.602762486866635 & 0.698618756566683 \tabularnewline
20 & 0.230446679803674 & 0.460893359607349 & 0.769553320196326 \tabularnewline
21 & 0.175326315529173 & 0.350652631058347 & 0.824673684470827 \tabularnewline
22 & 0.158609126877609 & 0.317218253755218 & 0.841390873122391 \tabularnewline
23 & 0.197970516500189 & 0.395941033000379 & 0.80202948349981 \tabularnewline
24 & 0.148590437991834 & 0.297180875983667 & 0.851409562008166 \tabularnewline
25 & 0.10918269910293 & 0.218365398205861 & 0.89081730089707 \tabularnewline
26 & 0.086130996016183 & 0.172261992032366 & 0.913869003983817 \tabularnewline
27 & 0.0682375018553552 & 0.13647500371071 & 0.931762498144645 \tabularnewline
28 & 0.0477630247233106 & 0.0955260494466213 & 0.95223697527669 \tabularnewline
29 & 0.0428288427316858 & 0.0856576854633715 & 0.957171157268314 \tabularnewline
30 & 0.0293714586538174 & 0.0587429173076348 & 0.970628541346183 \tabularnewline
31 & 0.0287632446813745 & 0.057526489362749 & 0.971236755318626 \tabularnewline
32 & 0.0365032817187392 & 0.0730065634374784 & 0.96349671828126 \tabularnewline
33 & 0.0263001915179531 & 0.0526003830359062 & 0.973699808482047 \tabularnewline
34 & 0.0186925226790582 & 0.0373850453581164 & 0.981307477320942 \tabularnewline
35 & 0.016023387267565 & 0.0320467745351299 & 0.983976612732435 \tabularnewline
36 & 0.0107250229870274 & 0.0214500459740547 & 0.989274977012973 \tabularnewline
37 & 0.00746634752816261 & 0.0149326950563252 & 0.992533652471837 \tabularnewline
38 & 0.00545962081575182 & 0.0109192416315036 & 0.994540379184248 \tabularnewline
39 & 0.00787143334436567 & 0.0157428666887313 & 0.992128566655634 \tabularnewline
40 & 0.00522242829799584 & 0.0104448565959917 & 0.994777571702004 \tabularnewline
41 & 0.00354001363592581 & 0.00708002727185162 & 0.996459986364074 \tabularnewline
42 & 0.00230430990745671 & 0.00460861981491341 & 0.997695690092543 \tabularnewline
43 & 0.00149573225983936 & 0.00299146451967872 & 0.99850426774016 \tabularnewline
44 & 0.00093324763411502 & 0.00186649526823004 & 0.999066752365885 \tabularnewline
45 & 0.000667203852668414 & 0.00133440770533683 & 0.999332796147332 \tabularnewline
46 & 0.000459637851063891 & 0.000919275702127783 & 0.999540362148936 \tabularnewline
47 & 0.950005038515325 & 0.0999899229693492 & 0.0499949614846746 \tabularnewline
48 & 0.9786902814783 & 0.0426194370433976 & 0.0213097185216988 \tabularnewline
49 & 0.973927833258227 & 0.0521443334835462 & 0.0260721667417731 \tabularnewline
50 & 0.982882772744397 & 0.0342344545112059 & 0.0171172272556029 \tabularnewline
51 & 0.979051459974938 & 0.0418970800501231 & 0.0209485400250616 \tabularnewline
52 & 0.973375056876131 & 0.0532498862477375 & 0.0266249431238687 \tabularnewline
53 & 0.973155892732975 & 0.0536882145340507 & 0.0268441072670254 \tabularnewline
54 & 0.965908403909774 & 0.0681831921804528 & 0.0340915960902264 \tabularnewline
55 & 0.980061091006063 & 0.0398778179878734 & 0.0199389089939367 \tabularnewline
56 & 0.975650764860362 & 0.0486984702792752 & 0.0243492351396376 \tabularnewline
57 & 0.970471363662203 & 0.0590572726755935 & 0.0295286363377967 \tabularnewline
58 & 0.964845476567112 & 0.0703090468657768 & 0.0351545234328884 \tabularnewline
59 & 0.965734909291524 & 0.0685301814169514 & 0.0342650907084757 \tabularnewline
60 & 0.96769880531965 & 0.0646023893606992 & 0.0323011946803496 \tabularnewline
61 & 0.960648041253375 & 0.078703917493249 & 0.0393519587466245 \tabularnewline
62 & 0.980916067639204 & 0.038167864721591 & 0.0190839323607955 \tabularnewline
63 & 0.978763317675656 & 0.0424733646486879 & 0.0212366823243439 \tabularnewline
64 & 0.974067158295578 & 0.0518656834088441 & 0.0259328417044221 \tabularnewline
65 & 0.970073515141275 & 0.0598529697174492 & 0.0299264848587246 \tabularnewline
66 & 0.965854869910785 & 0.0682902601784294 & 0.0341451300892147 \tabularnewline
67 & 0.981298793760939 & 0.037402412478123 & 0.0187012062390615 \tabularnewline
68 & 0.97782933422512 & 0.0443413315497608 & 0.0221706657748804 \tabularnewline
69 & 0.971844433094854 & 0.0563111338102928 & 0.0281555669051464 \tabularnewline
70 & 0.96499713641238 & 0.070005727175242 & 0.035002863587621 \tabularnewline
71 & 0.958227280986649 & 0.0835454380267022 & 0.0417727190133511 \tabularnewline
72 & 0.962995179538555 & 0.0740096409228907 & 0.0370048204614454 \tabularnewline
73 & 0.985222948289466 & 0.0295541034210689 & 0.0147770517105345 \tabularnewline
74 & 0.994924367882305 & 0.0101512642353904 & 0.00507563211769522 \tabularnewline
75 & 0.99670505721017 & 0.00658988557965912 & 0.00329494278982956 \tabularnewline
76 & 0.995621517416128 & 0.00875696516774333 & 0.00437848258387166 \tabularnewline
77 & 0.994261869540782 & 0.0114762609184366 & 0.0057381304592183 \tabularnewline
78 & 0.99326946076493 & 0.013461078470139 & 0.0067305392350695 \tabularnewline
79 & 0.991322871744401 & 0.0173542565111971 & 0.00867712825559854 \tabularnewline
80 & 0.98907322052199 & 0.0218535589560207 & 0.0109267794780104 \tabularnewline
81 & 0.989385741384984 & 0.0212285172300322 & 0.0106142586150161 \tabularnewline
82 & 0.990073670541273 & 0.0198526589174537 & 0.00992632945872684 \tabularnewline
83 & 0.987903395462673 & 0.0241932090746546 & 0.0120966045373273 \tabularnewline
84 & 0.99705128578636 & 0.00589742842728082 & 0.00294871421364041 \tabularnewline
85 & 0.999329627677652 & 0.00134074464469561 & 0.000670372322347805 \tabularnewline
86 & 0.999160857170797 & 0.00167828565840661 & 0.000839142829203303 \tabularnewline
87 & 0.99921500783769 & 0.00156998432461884 & 0.00078499216230942 \tabularnewline
88 & 0.99893898081781 & 0.00212203836438041 & 0.0010610191821902 \tabularnewline
89 & 0.998778268875284 & 0.00244346224943132 & 0.00122173112471566 \tabularnewline
90 & 0.99834101995407 & 0.00331796009185864 & 0.00165898004592932 \tabularnewline
91 & 0.998296201574881 & 0.00340759685023719 & 0.0017037984251186 \tabularnewline
92 & 0.999304867993656 & 0.00139026401268824 & 0.000695132006344119 \tabularnewline
93 & 0.999061483778074 & 0.00187703244385216 & 0.000938516221926079 \tabularnewline
94 & 0.998719101196274 & 0.00256179760745119 & 0.0012808988037256 \tabularnewline
95 & 0.998375212768915 & 0.00324957446216989 & 0.00162478723108495 \tabularnewline
96 & 0.997865388913446 & 0.00426922217310816 & 0.00213461108655408 \tabularnewline
97 & 0.997360978959076 & 0.00527804208184697 & 0.00263902104092349 \tabularnewline
98 & 0.996604546606246 & 0.00679090678750866 & 0.00339545339375433 \tabularnewline
99 & 0.99556328847282 & 0.00887342305436129 & 0.00443671152718065 \tabularnewline
100 & 0.994580685917237 & 0.0108386281655268 & 0.00541931408276341 \tabularnewline
101 & 0.993322837893589 & 0.0133543242128223 & 0.00667716210641113 \tabularnewline
102 & 0.991725969406184 & 0.0165480611876313 & 0.00827403059381563 \tabularnewline
103 & 0.989780243137994 & 0.0204395137240112 & 0.0102197568620056 \tabularnewline
104 & 0.987673375952202 & 0.0246532480955971 & 0.0123266240477985 \tabularnewline
105 & 0.984347607653639 & 0.0313047846927223 & 0.0156523923463611 \tabularnewline
106 & 0.984244428223228 & 0.0315111435535449 & 0.0157555717767724 \tabularnewline
107 & 0.980854943212408 & 0.0382901135751845 & 0.0191450567875922 \tabularnewline
108 & 0.978190745032722 & 0.0436185099345561 & 0.021809254967278 \tabularnewline
109 & 0.973059823164487 & 0.0538803536710256 & 0.0269401768355128 \tabularnewline
110 & 0.968860430895278 & 0.0622791382094445 & 0.0311395691047223 \tabularnewline
111 & 0.963774309437062 & 0.0724513811258768 & 0.0362256905629384 \tabularnewline
112 & 0.956677678966279 & 0.086644642067443 & 0.0433223210337215 \tabularnewline
113 & 0.947777530219117 & 0.104444939561766 & 0.0522224697808829 \tabularnewline
114 & 0.940577844878944 & 0.118844310242111 & 0.0594221551210557 \tabularnewline
115 & 0.941097878725091 & 0.117804242549818 & 0.058902121274909 \tabularnewline
116 & 0.93030764795166 & 0.13938470409668 & 0.0696923520483402 \tabularnewline
117 & 0.931204014377268 & 0.137591971245464 & 0.0687959856227322 \tabularnewline
118 & 0.922828650656934 & 0.154342698686132 & 0.077171349343066 \tabularnewline
119 & 0.913329554719397 & 0.173340890561207 & 0.0866704452806034 \tabularnewline
120 & 0.904608077124852 & 0.190783845750296 & 0.0953919228751482 \tabularnewline
121 & 0.890107586743104 & 0.219784826513791 & 0.109892413256896 \tabularnewline
122 & 0.8837230526608 & 0.232553894678401 & 0.116276947339201 \tabularnewline
123 & 0.87667000469955 & 0.246659990600898 & 0.123329995300449 \tabularnewline
124 & 0.859148096653004 & 0.281703806693991 & 0.140851903346996 \tabularnewline
125 & 0.837681412254658 & 0.324637175490684 & 0.162318587745342 \tabularnewline
126 & 0.822241847580964 & 0.355516304838073 & 0.177758152419036 \tabularnewline
127 & 0.810533348729355 & 0.378933302541289 & 0.189466651270645 \tabularnewline
128 & 0.813574355397017 & 0.372851289205967 & 0.186425644602983 \tabularnewline
129 & 0.810709468431235 & 0.378581063137531 & 0.189290531568765 \tabularnewline
130 & 0.791509516995898 & 0.416980966008205 & 0.208490483004102 \tabularnewline
131 & 0.763997214220096 & 0.472005571559808 & 0.236002785779904 \tabularnewline
132 & 0.754808614021799 & 0.490382771956403 & 0.245191385978201 \tabularnewline
133 & 0.725028826945475 & 0.54994234610905 & 0.274971173054525 \tabularnewline
134 & 0.695102938893982 & 0.609794122212037 & 0.304897061106018 \tabularnewline
135 & 0.664145803393355 & 0.67170839321329 & 0.335854196606645 \tabularnewline
136 & 0.650104637482265 & 0.699790725035469 & 0.349895362517735 \tabularnewline
137 & 0.625883146910602 & 0.748233706178797 & 0.374116853089398 \tabularnewline
138 & 0.596377696677686 & 0.807244606644628 & 0.403622303322314 \tabularnewline
139 & 0.63899014235645 & 0.7220197152871 & 0.36100985764355 \tabularnewline
140 & 0.639991856982856 & 0.720016286034288 & 0.360008143017144 \tabularnewline
141 & 0.659376054532284 & 0.681247890935433 & 0.340623945467716 \tabularnewline
142 & 0.627364047646529 & 0.745271904706942 & 0.372635952353471 \tabularnewline
143 & 0.677112972395401 & 0.645774055209197 & 0.322887027604599 \tabularnewline
144 & 0.690832013210112 & 0.618335973579775 & 0.309167986789888 \tabularnewline
145 & 0.657394739483624 & 0.685210521032751 & 0.342605260516376 \tabularnewline
146 & 0.649567634461265 & 0.70086473107747 & 0.350432365538735 \tabularnewline
147 & 0.61310602355397 & 0.773787952892059 & 0.38689397644603 \tabularnewline
148 & 0.577849121844893 & 0.844301756310215 & 0.422150878155107 \tabularnewline
149 & 0.547379835504673 & 0.905240328990654 & 0.452620164495327 \tabularnewline
150 & 0.511150588011184 & 0.977698823977631 & 0.488849411988816 \tabularnewline
151 & 0.486575900367765 & 0.97315180073553 & 0.513424099632235 \tabularnewline
152 & 0.482160682729693 & 0.964321365459386 & 0.517839317270307 \tabularnewline
153 & 0.458957997334748 & 0.917915994669496 & 0.541042002665252 \tabularnewline
154 & 0.435035992091479 & 0.870071984182957 & 0.564964007908521 \tabularnewline
155 & 0.432120480359815 & 0.86424096071963 & 0.567879519640185 \tabularnewline
156 & 0.394636150934929 & 0.789272301869858 & 0.605363849065071 \tabularnewline
157 & 0.436988748717121 & 0.873977497434241 & 0.56301125128288 \tabularnewline
158 & 0.547555093714559 & 0.904889812570883 & 0.452444906285441 \tabularnewline
159 & 0.50902330303161 & 0.98195339393678 & 0.49097669696839 \tabularnewline
160 & 0.470557046056746 & 0.94111409211349 & 0.529442953943254 \tabularnewline
161 & 0.466527642330007 & 0.933055284660014 & 0.533472357669993 \tabularnewline
162 & 0.498147119191219 & 0.996294238382438 & 0.501852880808781 \tabularnewline
163 & 0.517832739413877 & 0.964334521172246 & 0.482167260586123 \tabularnewline
164 & 0.5917159559399 & 0.816568088120199 & 0.408284044060099 \tabularnewline
165 & 0.562171174810207 & 0.875657650379586 & 0.437828825189793 \tabularnewline
166 & 0.52504080453322 & 0.94991839093356 & 0.47495919546678 \tabularnewline
167 & 0.498120016905365 & 0.99624003381073 & 0.501879983094635 \tabularnewline
168 & 0.457197243781976 & 0.914394487563952 & 0.542802756218024 \tabularnewline
169 & 0.421181145843275 & 0.84236229168655 & 0.578818854156725 \tabularnewline
170 & 0.390746231506163 & 0.781492463012326 & 0.609253768493837 \tabularnewline
171 & 0.371656532344888 & 0.743313064689777 & 0.628343467655112 \tabularnewline
172 & 0.340568494751107 & 0.681136989502213 & 0.659431505248893 \tabularnewline
173 & 0.31923553861622 & 0.63847107723244 & 0.68076446138378 \tabularnewline
174 & 0.283718674044329 & 0.567437348088657 & 0.716281325955671 \tabularnewline
175 & 0.249139322110096 & 0.498278644220192 & 0.750860677889904 \tabularnewline
176 & 0.299846296506819 & 0.599692593013638 & 0.700153703493181 \tabularnewline
177 & 0.264652363612985 & 0.529304727225969 & 0.735347636387015 \tabularnewline
178 & 0.236282526155761 & 0.472565052311522 & 0.763717473844239 \tabularnewline
179 & 0.245050361576853 & 0.490100723153706 & 0.754949638423147 \tabularnewline
180 & 0.214295059773244 & 0.428590119546488 & 0.785704940226756 \tabularnewline
181 & 0.198052166902409 & 0.396104333804818 & 0.801947833097591 \tabularnewline
182 & 0.221458547242653 & 0.442917094485305 & 0.778541452757348 \tabularnewline
183 & 0.210393755230808 & 0.420787510461615 & 0.789606244769192 \tabularnewline
184 & 0.185189566573495 & 0.37037913314699 & 0.814810433426505 \tabularnewline
185 & 0.163112468676608 & 0.326224937353215 & 0.836887531323392 \tabularnewline
186 & 0.140309675459617 & 0.280619350919235 & 0.859690324540383 \tabularnewline
187 & 0.149484795560909 & 0.298969591121817 & 0.850515204439091 \tabularnewline
188 & 0.145310730716671 & 0.290621461433343 & 0.854689269283329 \tabularnewline
189 & 0.150404034380749 & 0.300808068761497 & 0.849595965619251 \tabularnewline
190 & 0.133233280704792 & 0.266466561409585 & 0.866766719295208 \tabularnewline
191 & 0.113881834296292 & 0.227763668592583 & 0.886118165703708 \tabularnewline
192 & 0.0933872178085625 & 0.186774435617125 & 0.906612782191437 \tabularnewline
193 & 0.136002471384997 & 0.272004942769994 & 0.863997528615003 \tabularnewline
194 & 0.125923009904489 & 0.251846019808978 & 0.87407699009551 \tabularnewline
195 & 0.193400671431811 & 0.386801342863623 & 0.806599328568189 \tabularnewline
196 & 0.164406494961496 & 0.328812989922992 & 0.835593505038504 \tabularnewline
197 & 0.150965164669223 & 0.301930329338447 & 0.849034835330777 \tabularnewline
198 & 0.135891367826729 & 0.271782735653458 & 0.864108632173271 \tabularnewline
199 & 0.281038863217479 & 0.562077726434959 & 0.71896113678252 \tabularnewline
200 & 0.252208609324373 & 0.504417218648746 & 0.747791390675627 \tabularnewline
201 & 0.937750883417748 & 0.124498233164504 & 0.062249116582252 \tabularnewline
202 & 0.925471520350425 & 0.149056959299151 & 0.0745284796495754 \tabularnewline
203 & 0.908232449668565 & 0.18353510066287 & 0.0917675503314352 \tabularnewline
204 & 0.904393871499016 & 0.191212257001968 & 0.0956061285009842 \tabularnewline
205 & 0.880631458809395 & 0.238737082381209 & 0.119368541190605 \tabularnewline
206 & 0.859729168250148 & 0.280541663499705 & 0.140270831749852 \tabularnewline
207 & 0.82465058860876 & 0.35069882278248 & 0.17534941139124 \tabularnewline
208 & 0.791129652715196 & 0.417740694569608 & 0.208870347284804 \tabularnewline
209 & 0.745222316675733 & 0.509555366648533 & 0.254777683324267 \tabularnewline
210 & 0.766206146587234 & 0.467587706825531 & 0.233793853412766 \tabularnewline
211 & 0.81887852081285 & 0.3622429583743 & 0.18112147918715 \tabularnewline
212 & 0.852392653221065 & 0.295214693557869 & 0.147607346778935 \tabularnewline
213 & 0.831476328675142 & 0.337047342649716 & 0.168523671324858 \tabularnewline
214 & 0.788688880399304 & 0.422622239201391 & 0.211311119600696 \tabularnewline
215 & 0.775281880581459 & 0.449436238837082 & 0.224718119418541 \tabularnewline
216 & 0.72396144396278 & 0.552077112074441 & 0.27603855603722 \tabularnewline
217 & 0.657485106916074 & 0.685029786167853 & 0.342514893083926 \tabularnewline
218 & 0.68012503383691 & 0.63974993232618 & 0.31987496616309 \tabularnewline
219 & 0.620738120361565 & 0.75852375927687 & 0.379261879638435 \tabularnewline
220 & 0.562049936214873 & 0.875900127570255 & 0.437950063785127 \tabularnewline
221 & 0.490956618988773 & 0.981913237977546 & 0.509043381011227 \tabularnewline
222 & 0.425540366142265 & 0.85108073228453 & 0.574459633857735 \tabularnewline
223 & 0.361847794230809 & 0.723695588461618 & 0.638152205769191 \tabularnewline
224 & 0.388284142619596 & 0.776568285239192 & 0.611715857380404 \tabularnewline
225 & 0.322524623045672 & 0.645049246091344 & 0.677475376954328 \tabularnewline
226 & 0.414630197632958 & 0.829260395265915 & 0.585369802367042 \tabularnewline
227 & 0.412230397666476 & 0.824460795332952 & 0.587769602333524 \tabularnewline
228 & 0.670089713360867 & 0.659820573278266 & 0.329910286639133 \tabularnewline
229 & 0.54729545671525 & 0.9054090865695 & 0.45270454328475 \tabularnewline
230 & 0.821844565118557 & 0.356310869762886 & 0.178155434881443 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116600&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]10[/C][C]0.317694159038733[/C][C]0.635388318077466[/C][C]0.682305840961267[/C][/ROW]
[ROW][C]11[/C][C]0.252026691973136[/C][C]0.504053383946271[/C][C]0.747973308026864[/C][/ROW]
[ROW][C]12[/C][C]0.151834677095673[/C][C]0.303669354191345[/C][C]0.848165322904327[/C][/ROW]
[ROW][C]13[/C][C]0.0817606348578196[/C][C]0.163521269715639[/C][C]0.91823936514218[/C][/ROW]
[ROW][C]14[/C][C]0.686535271763796[/C][C]0.626929456472409[/C][C]0.313464728236204[/C][/ROW]
[ROW][C]15[/C][C]0.589801613255132[/C][C]0.820396773489737[/C][C]0.410198386744868[/C][/ROW]
[ROW][C]16[/C][C]0.495776327418224[/C][C]0.991552654836447[/C][C]0.504223672581776[/C][/ROW]
[ROW][C]17[/C][C]0.438681789811803[/C][C]0.877363579623606[/C][C]0.561318210188197[/C][/ROW]
[ROW][C]18[/C][C]0.362322868298441[/C][C]0.724645736596882[/C][C]0.637677131701559[/C][/ROW]
[ROW][C]19[/C][C]0.301381243433317[/C][C]0.602762486866635[/C][C]0.698618756566683[/C][/ROW]
[ROW][C]20[/C][C]0.230446679803674[/C][C]0.460893359607349[/C][C]0.769553320196326[/C][/ROW]
[ROW][C]21[/C][C]0.175326315529173[/C][C]0.350652631058347[/C][C]0.824673684470827[/C][/ROW]
[ROW][C]22[/C][C]0.158609126877609[/C][C]0.317218253755218[/C][C]0.841390873122391[/C][/ROW]
[ROW][C]23[/C][C]0.197970516500189[/C][C]0.395941033000379[/C][C]0.80202948349981[/C][/ROW]
[ROW][C]24[/C][C]0.148590437991834[/C][C]0.297180875983667[/C][C]0.851409562008166[/C][/ROW]
[ROW][C]25[/C][C]0.10918269910293[/C][C]0.218365398205861[/C][C]0.89081730089707[/C][/ROW]
[ROW][C]26[/C][C]0.086130996016183[/C][C]0.172261992032366[/C][C]0.913869003983817[/C][/ROW]
[ROW][C]27[/C][C]0.0682375018553552[/C][C]0.13647500371071[/C][C]0.931762498144645[/C][/ROW]
[ROW][C]28[/C][C]0.0477630247233106[/C][C]0.0955260494466213[/C][C]0.95223697527669[/C][/ROW]
[ROW][C]29[/C][C]0.0428288427316858[/C][C]0.0856576854633715[/C][C]0.957171157268314[/C][/ROW]
[ROW][C]30[/C][C]0.0293714586538174[/C][C]0.0587429173076348[/C][C]0.970628541346183[/C][/ROW]
[ROW][C]31[/C][C]0.0287632446813745[/C][C]0.057526489362749[/C][C]0.971236755318626[/C][/ROW]
[ROW][C]32[/C][C]0.0365032817187392[/C][C]0.0730065634374784[/C][C]0.96349671828126[/C][/ROW]
[ROW][C]33[/C][C]0.0263001915179531[/C][C]0.0526003830359062[/C][C]0.973699808482047[/C][/ROW]
[ROW][C]34[/C][C]0.0186925226790582[/C][C]0.0373850453581164[/C][C]0.981307477320942[/C][/ROW]
[ROW][C]35[/C][C]0.016023387267565[/C][C]0.0320467745351299[/C][C]0.983976612732435[/C][/ROW]
[ROW][C]36[/C][C]0.0107250229870274[/C][C]0.0214500459740547[/C][C]0.989274977012973[/C][/ROW]
[ROW][C]37[/C][C]0.00746634752816261[/C][C]0.0149326950563252[/C][C]0.992533652471837[/C][/ROW]
[ROW][C]38[/C][C]0.00545962081575182[/C][C]0.0109192416315036[/C][C]0.994540379184248[/C][/ROW]
[ROW][C]39[/C][C]0.00787143334436567[/C][C]0.0157428666887313[/C][C]0.992128566655634[/C][/ROW]
[ROW][C]40[/C][C]0.00522242829799584[/C][C]0.0104448565959917[/C][C]0.994777571702004[/C][/ROW]
[ROW][C]41[/C][C]0.00354001363592581[/C][C]0.00708002727185162[/C][C]0.996459986364074[/C][/ROW]
[ROW][C]42[/C][C]0.00230430990745671[/C][C]0.00460861981491341[/C][C]0.997695690092543[/C][/ROW]
[ROW][C]43[/C][C]0.00149573225983936[/C][C]0.00299146451967872[/C][C]0.99850426774016[/C][/ROW]
[ROW][C]44[/C][C]0.00093324763411502[/C][C]0.00186649526823004[/C][C]0.999066752365885[/C][/ROW]
[ROW][C]45[/C][C]0.000667203852668414[/C][C]0.00133440770533683[/C][C]0.999332796147332[/C][/ROW]
[ROW][C]46[/C][C]0.000459637851063891[/C][C]0.000919275702127783[/C][C]0.999540362148936[/C][/ROW]
[ROW][C]47[/C][C]0.950005038515325[/C][C]0.0999899229693492[/C][C]0.0499949614846746[/C][/ROW]
[ROW][C]48[/C][C]0.9786902814783[/C][C]0.0426194370433976[/C][C]0.0213097185216988[/C][/ROW]
[ROW][C]49[/C][C]0.973927833258227[/C][C]0.0521443334835462[/C][C]0.0260721667417731[/C][/ROW]
[ROW][C]50[/C][C]0.982882772744397[/C][C]0.0342344545112059[/C][C]0.0171172272556029[/C][/ROW]
[ROW][C]51[/C][C]0.979051459974938[/C][C]0.0418970800501231[/C][C]0.0209485400250616[/C][/ROW]
[ROW][C]52[/C][C]0.973375056876131[/C][C]0.0532498862477375[/C][C]0.0266249431238687[/C][/ROW]
[ROW][C]53[/C][C]0.973155892732975[/C][C]0.0536882145340507[/C][C]0.0268441072670254[/C][/ROW]
[ROW][C]54[/C][C]0.965908403909774[/C][C]0.0681831921804528[/C][C]0.0340915960902264[/C][/ROW]
[ROW][C]55[/C][C]0.980061091006063[/C][C]0.0398778179878734[/C][C]0.0199389089939367[/C][/ROW]
[ROW][C]56[/C][C]0.975650764860362[/C][C]0.0486984702792752[/C][C]0.0243492351396376[/C][/ROW]
[ROW][C]57[/C][C]0.970471363662203[/C][C]0.0590572726755935[/C][C]0.0295286363377967[/C][/ROW]
[ROW][C]58[/C][C]0.964845476567112[/C][C]0.0703090468657768[/C][C]0.0351545234328884[/C][/ROW]
[ROW][C]59[/C][C]0.965734909291524[/C][C]0.0685301814169514[/C][C]0.0342650907084757[/C][/ROW]
[ROW][C]60[/C][C]0.96769880531965[/C][C]0.0646023893606992[/C][C]0.0323011946803496[/C][/ROW]
[ROW][C]61[/C][C]0.960648041253375[/C][C]0.078703917493249[/C][C]0.0393519587466245[/C][/ROW]
[ROW][C]62[/C][C]0.980916067639204[/C][C]0.038167864721591[/C][C]0.0190839323607955[/C][/ROW]
[ROW][C]63[/C][C]0.978763317675656[/C][C]0.0424733646486879[/C][C]0.0212366823243439[/C][/ROW]
[ROW][C]64[/C][C]0.974067158295578[/C][C]0.0518656834088441[/C][C]0.0259328417044221[/C][/ROW]
[ROW][C]65[/C][C]0.970073515141275[/C][C]0.0598529697174492[/C][C]0.0299264848587246[/C][/ROW]
[ROW][C]66[/C][C]0.965854869910785[/C][C]0.0682902601784294[/C][C]0.0341451300892147[/C][/ROW]
[ROW][C]67[/C][C]0.981298793760939[/C][C]0.037402412478123[/C][C]0.0187012062390615[/C][/ROW]
[ROW][C]68[/C][C]0.97782933422512[/C][C]0.0443413315497608[/C][C]0.0221706657748804[/C][/ROW]
[ROW][C]69[/C][C]0.971844433094854[/C][C]0.0563111338102928[/C][C]0.0281555669051464[/C][/ROW]
[ROW][C]70[/C][C]0.96499713641238[/C][C]0.070005727175242[/C][C]0.035002863587621[/C][/ROW]
[ROW][C]71[/C][C]0.958227280986649[/C][C]0.0835454380267022[/C][C]0.0417727190133511[/C][/ROW]
[ROW][C]72[/C][C]0.962995179538555[/C][C]0.0740096409228907[/C][C]0.0370048204614454[/C][/ROW]
[ROW][C]73[/C][C]0.985222948289466[/C][C]0.0295541034210689[/C][C]0.0147770517105345[/C][/ROW]
[ROW][C]74[/C][C]0.994924367882305[/C][C]0.0101512642353904[/C][C]0.00507563211769522[/C][/ROW]
[ROW][C]75[/C][C]0.99670505721017[/C][C]0.00658988557965912[/C][C]0.00329494278982956[/C][/ROW]
[ROW][C]76[/C][C]0.995621517416128[/C][C]0.00875696516774333[/C][C]0.00437848258387166[/C][/ROW]
[ROW][C]77[/C][C]0.994261869540782[/C][C]0.0114762609184366[/C][C]0.0057381304592183[/C][/ROW]
[ROW][C]78[/C][C]0.99326946076493[/C][C]0.013461078470139[/C][C]0.0067305392350695[/C][/ROW]
[ROW][C]79[/C][C]0.991322871744401[/C][C]0.0173542565111971[/C][C]0.00867712825559854[/C][/ROW]
[ROW][C]80[/C][C]0.98907322052199[/C][C]0.0218535589560207[/C][C]0.0109267794780104[/C][/ROW]
[ROW][C]81[/C][C]0.989385741384984[/C][C]0.0212285172300322[/C][C]0.0106142586150161[/C][/ROW]
[ROW][C]82[/C][C]0.990073670541273[/C][C]0.0198526589174537[/C][C]0.00992632945872684[/C][/ROW]
[ROW][C]83[/C][C]0.987903395462673[/C][C]0.0241932090746546[/C][C]0.0120966045373273[/C][/ROW]
[ROW][C]84[/C][C]0.99705128578636[/C][C]0.00589742842728082[/C][C]0.00294871421364041[/C][/ROW]
[ROW][C]85[/C][C]0.999329627677652[/C][C]0.00134074464469561[/C][C]0.000670372322347805[/C][/ROW]
[ROW][C]86[/C][C]0.999160857170797[/C][C]0.00167828565840661[/C][C]0.000839142829203303[/C][/ROW]
[ROW][C]87[/C][C]0.99921500783769[/C][C]0.00156998432461884[/C][C]0.00078499216230942[/C][/ROW]
[ROW][C]88[/C][C]0.99893898081781[/C][C]0.00212203836438041[/C][C]0.0010610191821902[/C][/ROW]
[ROW][C]89[/C][C]0.998778268875284[/C][C]0.00244346224943132[/C][C]0.00122173112471566[/C][/ROW]
[ROW][C]90[/C][C]0.99834101995407[/C][C]0.00331796009185864[/C][C]0.00165898004592932[/C][/ROW]
[ROW][C]91[/C][C]0.998296201574881[/C][C]0.00340759685023719[/C][C]0.0017037984251186[/C][/ROW]
[ROW][C]92[/C][C]0.999304867993656[/C][C]0.00139026401268824[/C][C]0.000695132006344119[/C][/ROW]
[ROW][C]93[/C][C]0.999061483778074[/C][C]0.00187703244385216[/C][C]0.000938516221926079[/C][/ROW]
[ROW][C]94[/C][C]0.998719101196274[/C][C]0.00256179760745119[/C][C]0.0012808988037256[/C][/ROW]
[ROW][C]95[/C][C]0.998375212768915[/C][C]0.00324957446216989[/C][C]0.00162478723108495[/C][/ROW]
[ROW][C]96[/C][C]0.997865388913446[/C][C]0.00426922217310816[/C][C]0.00213461108655408[/C][/ROW]
[ROW][C]97[/C][C]0.997360978959076[/C][C]0.00527804208184697[/C][C]0.00263902104092349[/C][/ROW]
[ROW][C]98[/C][C]0.996604546606246[/C][C]0.00679090678750866[/C][C]0.00339545339375433[/C][/ROW]
[ROW][C]99[/C][C]0.99556328847282[/C][C]0.00887342305436129[/C][C]0.00443671152718065[/C][/ROW]
[ROW][C]100[/C][C]0.994580685917237[/C][C]0.0108386281655268[/C][C]0.00541931408276341[/C][/ROW]
[ROW][C]101[/C][C]0.993322837893589[/C][C]0.0133543242128223[/C][C]0.00667716210641113[/C][/ROW]
[ROW][C]102[/C][C]0.991725969406184[/C][C]0.0165480611876313[/C][C]0.00827403059381563[/C][/ROW]
[ROW][C]103[/C][C]0.989780243137994[/C][C]0.0204395137240112[/C][C]0.0102197568620056[/C][/ROW]
[ROW][C]104[/C][C]0.987673375952202[/C][C]0.0246532480955971[/C][C]0.0123266240477985[/C][/ROW]
[ROW][C]105[/C][C]0.984347607653639[/C][C]0.0313047846927223[/C][C]0.0156523923463611[/C][/ROW]
[ROW][C]106[/C][C]0.984244428223228[/C][C]0.0315111435535449[/C][C]0.0157555717767724[/C][/ROW]
[ROW][C]107[/C][C]0.980854943212408[/C][C]0.0382901135751845[/C][C]0.0191450567875922[/C][/ROW]
[ROW][C]108[/C][C]0.978190745032722[/C][C]0.0436185099345561[/C][C]0.021809254967278[/C][/ROW]
[ROW][C]109[/C][C]0.973059823164487[/C][C]0.0538803536710256[/C][C]0.0269401768355128[/C][/ROW]
[ROW][C]110[/C][C]0.968860430895278[/C][C]0.0622791382094445[/C][C]0.0311395691047223[/C][/ROW]
[ROW][C]111[/C][C]0.963774309437062[/C][C]0.0724513811258768[/C][C]0.0362256905629384[/C][/ROW]
[ROW][C]112[/C][C]0.956677678966279[/C][C]0.086644642067443[/C][C]0.0433223210337215[/C][/ROW]
[ROW][C]113[/C][C]0.947777530219117[/C][C]0.104444939561766[/C][C]0.0522224697808829[/C][/ROW]
[ROW][C]114[/C][C]0.940577844878944[/C][C]0.118844310242111[/C][C]0.0594221551210557[/C][/ROW]
[ROW][C]115[/C][C]0.941097878725091[/C][C]0.117804242549818[/C][C]0.058902121274909[/C][/ROW]
[ROW][C]116[/C][C]0.93030764795166[/C][C]0.13938470409668[/C][C]0.0696923520483402[/C][/ROW]
[ROW][C]117[/C][C]0.931204014377268[/C][C]0.137591971245464[/C][C]0.0687959856227322[/C][/ROW]
[ROW][C]118[/C][C]0.922828650656934[/C][C]0.154342698686132[/C][C]0.077171349343066[/C][/ROW]
[ROW][C]119[/C][C]0.913329554719397[/C][C]0.173340890561207[/C][C]0.0866704452806034[/C][/ROW]
[ROW][C]120[/C][C]0.904608077124852[/C][C]0.190783845750296[/C][C]0.0953919228751482[/C][/ROW]
[ROW][C]121[/C][C]0.890107586743104[/C][C]0.219784826513791[/C][C]0.109892413256896[/C][/ROW]
[ROW][C]122[/C][C]0.8837230526608[/C][C]0.232553894678401[/C][C]0.116276947339201[/C][/ROW]
[ROW][C]123[/C][C]0.87667000469955[/C][C]0.246659990600898[/C][C]0.123329995300449[/C][/ROW]
[ROW][C]124[/C][C]0.859148096653004[/C][C]0.281703806693991[/C][C]0.140851903346996[/C][/ROW]
[ROW][C]125[/C][C]0.837681412254658[/C][C]0.324637175490684[/C][C]0.162318587745342[/C][/ROW]
[ROW][C]126[/C][C]0.822241847580964[/C][C]0.355516304838073[/C][C]0.177758152419036[/C][/ROW]
[ROW][C]127[/C][C]0.810533348729355[/C][C]0.378933302541289[/C][C]0.189466651270645[/C][/ROW]
[ROW][C]128[/C][C]0.813574355397017[/C][C]0.372851289205967[/C][C]0.186425644602983[/C][/ROW]
[ROW][C]129[/C][C]0.810709468431235[/C][C]0.378581063137531[/C][C]0.189290531568765[/C][/ROW]
[ROW][C]130[/C][C]0.791509516995898[/C][C]0.416980966008205[/C][C]0.208490483004102[/C][/ROW]
[ROW][C]131[/C][C]0.763997214220096[/C][C]0.472005571559808[/C][C]0.236002785779904[/C][/ROW]
[ROW][C]132[/C][C]0.754808614021799[/C][C]0.490382771956403[/C][C]0.245191385978201[/C][/ROW]
[ROW][C]133[/C][C]0.725028826945475[/C][C]0.54994234610905[/C][C]0.274971173054525[/C][/ROW]
[ROW][C]134[/C][C]0.695102938893982[/C][C]0.609794122212037[/C][C]0.304897061106018[/C][/ROW]
[ROW][C]135[/C][C]0.664145803393355[/C][C]0.67170839321329[/C][C]0.335854196606645[/C][/ROW]
[ROW][C]136[/C][C]0.650104637482265[/C][C]0.699790725035469[/C][C]0.349895362517735[/C][/ROW]
[ROW][C]137[/C][C]0.625883146910602[/C][C]0.748233706178797[/C][C]0.374116853089398[/C][/ROW]
[ROW][C]138[/C][C]0.596377696677686[/C][C]0.807244606644628[/C][C]0.403622303322314[/C][/ROW]
[ROW][C]139[/C][C]0.63899014235645[/C][C]0.7220197152871[/C][C]0.36100985764355[/C][/ROW]
[ROW][C]140[/C][C]0.639991856982856[/C][C]0.720016286034288[/C][C]0.360008143017144[/C][/ROW]
[ROW][C]141[/C][C]0.659376054532284[/C][C]0.681247890935433[/C][C]0.340623945467716[/C][/ROW]
[ROW][C]142[/C][C]0.627364047646529[/C][C]0.745271904706942[/C][C]0.372635952353471[/C][/ROW]
[ROW][C]143[/C][C]0.677112972395401[/C][C]0.645774055209197[/C][C]0.322887027604599[/C][/ROW]
[ROW][C]144[/C][C]0.690832013210112[/C][C]0.618335973579775[/C][C]0.309167986789888[/C][/ROW]
[ROW][C]145[/C][C]0.657394739483624[/C][C]0.685210521032751[/C][C]0.342605260516376[/C][/ROW]
[ROW][C]146[/C][C]0.649567634461265[/C][C]0.70086473107747[/C][C]0.350432365538735[/C][/ROW]
[ROW][C]147[/C][C]0.61310602355397[/C][C]0.773787952892059[/C][C]0.38689397644603[/C][/ROW]
[ROW][C]148[/C][C]0.577849121844893[/C][C]0.844301756310215[/C][C]0.422150878155107[/C][/ROW]
[ROW][C]149[/C][C]0.547379835504673[/C][C]0.905240328990654[/C][C]0.452620164495327[/C][/ROW]
[ROW][C]150[/C][C]0.511150588011184[/C][C]0.977698823977631[/C][C]0.488849411988816[/C][/ROW]
[ROW][C]151[/C][C]0.486575900367765[/C][C]0.97315180073553[/C][C]0.513424099632235[/C][/ROW]
[ROW][C]152[/C][C]0.482160682729693[/C][C]0.964321365459386[/C][C]0.517839317270307[/C][/ROW]
[ROW][C]153[/C][C]0.458957997334748[/C][C]0.917915994669496[/C][C]0.541042002665252[/C][/ROW]
[ROW][C]154[/C][C]0.435035992091479[/C][C]0.870071984182957[/C][C]0.564964007908521[/C][/ROW]
[ROW][C]155[/C][C]0.432120480359815[/C][C]0.86424096071963[/C][C]0.567879519640185[/C][/ROW]
[ROW][C]156[/C][C]0.394636150934929[/C][C]0.789272301869858[/C][C]0.605363849065071[/C][/ROW]
[ROW][C]157[/C][C]0.436988748717121[/C][C]0.873977497434241[/C][C]0.56301125128288[/C][/ROW]
[ROW][C]158[/C][C]0.547555093714559[/C][C]0.904889812570883[/C][C]0.452444906285441[/C][/ROW]
[ROW][C]159[/C][C]0.50902330303161[/C][C]0.98195339393678[/C][C]0.49097669696839[/C][/ROW]
[ROW][C]160[/C][C]0.470557046056746[/C][C]0.94111409211349[/C][C]0.529442953943254[/C][/ROW]
[ROW][C]161[/C][C]0.466527642330007[/C][C]0.933055284660014[/C][C]0.533472357669993[/C][/ROW]
[ROW][C]162[/C][C]0.498147119191219[/C][C]0.996294238382438[/C][C]0.501852880808781[/C][/ROW]
[ROW][C]163[/C][C]0.517832739413877[/C][C]0.964334521172246[/C][C]0.482167260586123[/C][/ROW]
[ROW][C]164[/C][C]0.5917159559399[/C][C]0.816568088120199[/C][C]0.408284044060099[/C][/ROW]
[ROW][C]165[/C][C]0.562171174810207[/C][C]0.875657650379586[/C][C]0.437828825189793[/C][/ROW]
[ROW][C]166[/C][C]0.52504080453322[/C][C]0.94991839093356[/C][C]0.47495919546678[/C][/ROW]
[ROW][C]167[/C][C]0.498120016905365[/C][C]0.99624003381073[/C][C]0.501879983094635[/C][/ROW]
[ROW][C]168[/C][C]0.457197243781976[/C][C]0.914394487563952[/C][C]0.542802756218024[/C][/ROW]
[ROW][C]169[/C][C]0.421181145843275[/C][C]0.84236229168655[/C][C]0.578818854156725[/C][/ROW]
[ROW][C]170[/C][C]0.390746231506163[/C][C]0.781492463012326[/C][C]0.609253768493837[/C][/ROW]
[ROW][C]171[/C][C]0.371656532344888[/C][C]0.743313064689777[/C][C]0.628343467655112[/C][/ROW]
[ROW][C]172[/C][C]0.340568494751107[/C][C]0.681136989502213[/C][C]0.659431505248893[/C][/ROW]
[ROW][C]173[/C][C]0.31923553861622[/C][C]0.63847107723244[/C][C]0.68076446138378[/C][/ROW]
[ROW][C]174[/C][C]0.283718674044329[/C][C]0.567437348088657[/C][C]0.716281325955671[/C][/ROW]
[ROW][C]175[/C][C]0.249139322110096[/C][C]0.498278644220192[/C][C]0.750860677889904[/C][/ROW]
[ROW][C]176[/C][C]0.299846296506819[/C][C]0.599692593013638[/C][C]0.700153703493181[/C][/ROW]
[ROW][C]177[/C][C]0.264652363612985[/C][C]0.529304727225969[/C][C]0.735347636387015[/C][/ROW]
[ROW][C]178[/C][C]0.236282526155761[/C][C]0.472565052311522[/C][C]0.763717473844239[/C][/ROW]
[ROW][C]179[/C][C]0.245050361576853[/C][C]0.490100723153706[/C][C]0.754949638423147[/C][/ROW]
[ROW][C]180[/C][C]0.214295059773244[/C][C]0.428590119546488[/C][C]0.785704940226756[/C][/ROW]
[ROW][C]181[/C][C]0.198052166902409[/C][C]0.396104333804818[/C][C]0.801947833097591[/C][/ROW]
[ROW][C]182[/C][C]0.221458547242653[/C][C]0.442917094485305[/C][C]0.778541452757348[/C][/ROW]
[ROW][C]183[/C][C]0.210393755230808[/C][C]0.420787510461615[/C][C]0.789606244769192[/C][/ROW]
[ROW][C]184[/C][C]0.185189566573495[/C][C]0.37037913314699[/C][C]0.814810433426505[/C][/ROW]
[ROW][C]185[/C][C]0.163112468676608[/C][C]0.326224937353215[/C][C]0.836887531323392[/C][/ROW]
[ROW][C]186[/C][C]0.140309675459617[/C][C]0.280619350919235[/C][C]0.859690324540383[/C][/ROW]
[ROW][C]187[/C][C]0.149484795560909[/C][C]0.298969591121817[/C][C]0.850515204439091[/C][/ROW]
[ROW][C]188[/C][C]0.145310730716671[/C][C]0.290621461433343[/C][C]0.854689269283329[/C][/ROW]
[ROW][C]189[/C][C]0.150404034380749[/C][C]0.300808068761497[/C][C]0.849595965619251[/C][/ROW]
[ROW][C]190[/C][C]0.133233280704792[/C][C]0.266466561409585[/C][C]0.866766719295208[/C][/ROW]
[ROW][C]191[/C][C]0.113881834296292[/C][C]0.227763668592583[/C][C]0.886118165703708[/C][/ROW]
[ROW][C]192[/C][C]0.0933872178085625[/C][C]0.186774435617125[/C][C]0.906612782191437[/C][/ROW]
[ROW][C]193[/C][C]0.136002471384997[/C][C]0.272004942769994[/C][C]0.863997528615003[/C][/ROW]
[ROW][C]194[/C][C]0.125923009904489[/C][C]0.251846019808978[/C][C]0.87407699009551[/C][/ROW]
[ROW][C]195[/C][C]0.193400671431811[/C][C]0.386801342863623[/C][C]0.806599328568189[/C][/ROW]
[ROW][C]196[/C][C]0.164406494961496[/C][C]0.328812989922992[/C][C]0.835593505038504[/C][/ROW]
[ROW][C]197[/C][C]0.150965164669223[/C][C]0.301930329338447[/C][C]0.849034835330777[/C][/ROW]
[ROW][C]198[/C][C]0.135891367826729[/C][C]0.271782735653458[/C][C]0.864108632173271[/C][/ROW]
[ROW][C]199[/C][C]0.281038863217479[/C][C]0.562077726434959[/C][C]0.71896113678252[/C][/ROW]
[ROW][C]200[/C][C]0.252208609324373[/C][C]0.504417218648746[/C][C]0.747791390675627[/C][/ROW]
[ROW][C]201[/C][C]0.937750883417748[/C][C]0.124498233164504[/C][C]0.062249116582252[/C][/ROW]
[ROW][C]202[/C][C]0.925471520350425[/C][C]0.149056959299151[/C][C]0.0745284796495754[/C][/ROW]
[ROW][C]203[/C][C]0.908232449668565[/C][C]0.18353510066287[/C][C]0.0917675503314352[/C][/ROW]
[ROW][C]204[/C][C]0.904393871499016[/C][C]0.191212257001968[/C][C]0.0956061285009842[/C][/ROW]
[ROW][C]205[/C][C]0.880631458809395[/C][C]0.238737082381209[/C][C]0.119368541190605[/C][/ROW]
[ROW][C]206[/C][C]0.859729168250148[/C][C]0.280541663499705[/C][C]0.140270831749852[/C][/ROW]
[ROW][C]207[/C][C]0.82465058860876[/C][C]0.35069882278248[/C][C]0.17534941139124[/C][/ROW]
[ROW][C]208[/C][C]0.791129652715196[/C][C]0.417740694569608[/C][C]0.208870347284804[/C][/ROW]
[ROW][C]209[/C][C]0.745222316675733[/C][C]0.509555366648533[/C][C]0.254777683324267[/C][/ROW]
[ROW][C]210[/C][C]0.766206146587234[/C][C]0.467587706825531[/C][C]0.233793853412766[/C][/ROW]
[ROW][C]211[/C][C]0.81887852081285[/C][C]0.3622429583743[/C][C]0.18112147918715[/C][/ROW]
[ROW][C]212[/C][C]0.852392653221065[/C][C]0.295214693557869[/C][C]0.147607346778935[/C][/ROW]
[ROW][C]213[/C][C]0.831476328675142[/C][C]0.337047342649716[/C][C]0.168523671324858[/C][/ROW]
[ROW][C]214[/C][C]0.788688880399304[/C][C]0.422622239201391[/C][C]0.211311119600696[/C][/ROW]
[ROW][C]215[/C][C]0.775281880581459[/C][C]0.449436238837082[/C][C]0.224718119418541[/C][/ROW]
[ROW][C]216[/C][C]0.72396144396278[/C][C]0.552077112074441[/C][C]0.27603855603722[/C][/ROW]
[ROW][C]217[/C][C]0.657485106916074[/C][C]0.685029786167853[/C][C]0.342514893083926[/C][/ROW]
[ROW][C]218[/C][C]0.68012503383691[/C][C]0.63974993232618[/C][C]0.31987496616309[/C][/ROW]
[ROW][C]219[/C][C]0.620738120361565[/C][C]0.75852375927687[/C][C]0.379261879638435[/C][/ROW]
[ROW][C]220[/C][C]0.562049936214873[/C][C]0.875900127570255[/C][C]0.437950063785127[/C][/ROW]
[ROW][C]221[/C][C]0.490956618988773[/C][C]0.981913237977546[/C][C]0.509043381011227[/C][/ROW]
[ROW][C]222[/C][C]0.425540366142265[/C][C]0.85108073228453[/C][C]0.574459633857735[/C][/ROW]
[ROW][C]223[/C][C]0.361847794230809[/C][C]0.723695588461618[/C][C]0.638152205769191[/C][/ROW]
[ROW][C]224[/C][C]0.388284142619596[/C][C]0.776568285239192[/C][C]0.611715857380404[/C][/ROW]
[ROW][C]225[/C][C]0.322524623045672[/C][C]0.645049246091344[/C][C]0.677475376954328[/C][/ROW]
[ROW][C]226[/C][C]0.414630197632958[/C][C]0.829260395265915[/C][C]0.585369802367042[/C][/ROW]
[ROW][C]227[/C][C]0.412230397666476[/C][C]0.824460795332952[/C][C]0.587769602333524[/C][/ROW]
[ROW][C]228[/C][C]0.670089713360867[/C][C]0.659820573278266[/C][C]0.329910286639133[/C][/ROW]
[ROW][C]229[/C][C]0.54729545671525[/C][C]0.9054090865695[/C][C]0.45270454328475[/C][/ROW]
[ROW][C]230[/C][C]0.821844565118557[/C][C]0.356310869762886[/C][C]0.178155434881443[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116600&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116600&T=5

As an alternative you can also use a QR Code:

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

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
10	0.317694159038733	0.635388318077466	0.682305840961267
11	0.252026691973136	0.504053383946271	0.747973308026864
12	0.151834677095673	0.303669354191345	0.848165322904327
13	0.0817606348578196	0.163521269715639	0.91823936514218
14	0.686535271763796	0.626929456472409	0.313464728236204
15	0.589801613255132	0.820396773489737	0.410198386744868
16	0.495776327418224	0.991552654836447	0.504223672581776
17	0.438681789811803	0.877363579623606	0.561318210188197
18	0.362322868298441	0.724645736596882	0.637677131701559
19	0.301381243433317	0.602762486866635	0.698618756566683
20	0.230446679803674	0.460893359607349	0.769553320196326
21	0.175326315529173	0.350652631058347	0.824673684470827
22	0.158609126877609	0.317218253755218	0.841390873122391
23	0.197970516500189	0.395941033000379	0.80202948349981
24	0.148590437991834	0.297180875983667	0.851409562008166
25	0.10918269910293	0.218365398205861	0.89081730089707
26	0.086130996016183	0.172261992032366	0.913869003983817
27	0.0682375018553552	0.13647500371071	0.931762498144645
28	0.0477630247233106	0.0955260494466213	0.95223697527669
29	0.0428288427316858	0.0856576854633715	0.957171157268314
30	0.0293714586538174	0.0587429173076348	0.970628541346183
31	0.0287632446813745	0.057526489362749	0.971236755318626
32	0.0365032817187392	0.0730065634374784	0.96349671828126
33	0.0263001915179531	0.0526003830359062	0.973699808482047
34	0.0186925226790582	0.0373850453581164	0.981307477320942
35	0.016023387267565	0.0320467745351299	0.983976612732435
36	0.0107250229870274	0.0214500459740547	0.989274977012973
37	0.00746634752816261	0.0149326950563252	0.992533652471837
38	0.00545962081575182	0.0109192416315036	0.994540379184248
39	0.00787143334436567	0.0157428666887313	0.992128566655634
40	0.00522242829799584	0.0104448565959917	0.994777571702004
41	0.00354001363592581	0.00708002727185162	0.996459986364074
42	0.00230430990745671	0.00460861981491341	0.997695690092543
43	0.00149573225983936	0.00299146451967872	0.99850426774016
44	0.00093324763411502	0.00186649526823004	0.999066752365885
45	0.000667203852668414	0.00133440770533683	0.999332796147332
46	0.000459637851063891	0.000919275702127783	0.999540362148936
47	0.950005038515325	0.0999899229693492	0.0499949614846746
48	0.9786902814783	0.0426194370433976	0.0213097185216988
49	0.973927833258227	0.0521443334835462	0.0260721667417731
50	0.982882772744397	0.0342344545112059	0.0171172272556029
51	0.979051459974938	0.0418970800501231	0.0209485400250616
52	0.973375056876131	0.0532498862477375	0.0266249431238687
53	0.973155892732975	0.0536882145340507	0.0268441072670254
54	0.965908403909774	0.0681831921804528	0.0340915960902264
55	0.980061091006063	0.0398778179878734	0.0199389089939367
56	0.975650764860362	0.0486984702792752	0.0243492351396376
57	0.970471363662203	0.0590572726755935	0.0295286363377967
58	0.964845476567112	0.0703090468657768	0.0351545234328884
59	0.965734909291524	0.0685301814169514	0.0342650907084757
60	0.96769880531965	0.0646023893606992	0.0323011946803496
61	0.960648041253375	0.078703917493249	0.0393519587466245
62	0.980916067639204	0.038167864721591	0.0190839323607955
63	0.978763317675656	0.0424733646486879	0.0212366823243439
64	0.974067158295578	0.0518656834088441	0.0259328417044221
65	0.970073515141275	0.0598529697174492	0.0299264848587246
66	0.965854869910785	0.0682902601784294	0.0341451300892147
67	0.981298793760939	0.037402412478123	0.0187012062390615
68	0.97782933422512	0.0443413315497608	0.0221706657748804
69	0.971844433094854	0.0563111338102928	0.0281555669051464
70	0.96499713641238	0.070005727175242	0.035002863587621
71	0.958227280986649	0.0835454380267022	0.0417727190133511
72	0.962995179538555	0.0740096409228907	0.0370048204614454
73	0.985222948289466	0.0295541034210689	0.0147770517105345
74	0.994924367882305	0.0101512642353904	0.00507563211769522
75	0.99670505721017	0.00658988557965912	0.00329494278982956
76	0.995621517416128	0.00875696516774333	0.00437848258387166
77	0.994261869540782	0.0114762609184366	0.0057381304592183
78	0.99326946076493	0.013461078470139	0.0067305392350695
79	0.991322871744401	0.0173542565111971	0.00867712825559854
80	0.98907322052199	0.0218535589560207	0.0109267794780104
81	0.989385741384984	0.0212285172300322	0.0106142586150161
82	0.990073670541273	0.0198526589174537	0.00992632945872684
83	0.987903395462673	0.0241932090746546	0.0120966045373273
84	0.99705128578636	0.00589742842728082	0.00294871421364041
85	0.999329627677652	0.00134074464469561	0.000670372322347805
86	0.999160857170797	0.00167828565840661	0.000839142829203303
87	0.99921500783769	0.00156998432461884	0.00078499216230942
88	0.99893898081781	0.00212203836438041	0.0010610191821902
89	0.998778268875284	0.00244346224943132	0.00122173112471566
90	0.99834101995407	0.00331796009185864	0.00165898004592932
91	0.998296201574881	0.00340759685023719	0.0017037984251186
92	0.999304867993656	0.00139026401268824	0.000695132006344119
93	0.999061483778074	0.00187703244385216	0.000938516221926079
94	0.998719101196274	0.00256179760745119	0.0012808988037256
95	0.998375212768915	0.00324957446216989	0.00162478723108495
96	0.997865388913446	0.00426922217310816	0.00213461108655408
97	0.997360978959076	0.00527804208184697	0.00263902104092349
98	0.996604546606246	0.00679090678750866	0.00339545339375433
99	0.99556328847282	0.00887342305436129	0.00443671152718065
100	0.994580685917237	0.0108386281655268	0.00541931408276341
101	0.993322837893589	0.0133543242128223	0.00667716210641113
102	0.991725969406184	0.0165480611876313	0.00827403059381563
103	0.989780243137994	0.0204395137240112	0.0102197568620056
104	0.987673375952202	0.0246532480955971	0.0123266240477985
105	0.984347607653639	0.0313047846927223	0.0156523923463611
106	0.984244428223228	0.0315111435535449	0.0157555717767724
107	0.980854943212408	0.0382901135751845	0.0191450567875922
108	0.978190745032722	0.0436185099345561	0.021809254967278
109	0.973059823164487	0.0538803536710256	0.0269401768355128
110	0.968860430895278	0.0622791382094445	0.0311395691047223
111	0.963774309437062	0.0724513811258768	0.0362256905629384
112	0.956677678966279	0.086644642067443	0.0433223210337215
113	0.947777530219117	0.104444939561766	0.0522224697808829
114	0.940577844878944	0.118844310242111	0.0594221551210557
115	0.941097878725091	0.117804242549818	0.058902121274909
116	0.93030764795166	0.13938470409668	0.0696923520483402
117	0.931204014377268	0.137591971245464	0.0687959856227322
118	0.922828650656934	0.154342698686132	0.077171349343066
119	0.913329554719397	0.173340890561207	0.0866704452806034
120	0.904608077124852	0.190783845750296	0.0953919228751482
121	0.890107586743104	0.219784826513791	0.109892413256896
122	0.8837230526608	0.232553894678401	0.116276947339201
123	0.87667000469955	0.246659990600898	0.123329995300449
124	0.859148096653004	0.281703806693991	0.140851903346996
125	0.837681412254658	0.324637175490684	0.162318587745342
126	0.822241847580964	0.355516304838073	0.177758152419036
127	0.810533348729355	0.378933302541289	0.189466651270645
128	0.813574355397017	0.372851289205967	0.186425644602983
129	0.810709468431235	0.378581063137531	0.189290531568765
130	0.791509516995898	0.416980966008205	0.208490483004102
131	0.763997214220096	0.472005571559808	0.236002785779904
132	0.754808614021799	0.490382771956403	0.245191385978201
133	0.725028826945475	0.54994234610905	0.274971173054525
134	0.695102938893982	0.609794122212037	0.304897061106018
135	0.664145803393355	0.67170839321329	0.335854196606645
136	0.650104637482265	0.699790725035469	0.349895362517735
137	0.625883146910602	0.748233706178797	0.374116853089398
138	0.596377696677686	0.807244606644628	0.403622303322314
139	0.63899014235645	0.7220197152871	0.36100985764355
140	0.639991856982856	0.720016286034288	0.360008143017144
141	0.659376054532284	0.681247890935433	0.340623945467716
142	0.627364047646529	0.745271904706942	0.372635952353471
143	0.677112972395401	0.645774055209197	0.322887027604599
144	0.690832013210112	0.618335973579775	0.309167986789888
145	0.657394739483624	0.685210521032751	0.342605260516376
146	0.649567634461265	0.70086473107747	0.350432365538735
147	0.61310602355397	0.773787952892059	0.38689397644603
148	0.577849121844893	0.844301756310215	0.422150878155107
149	0.547379835504673	0.905240328990654	0.452620164495327
150	0.511150588011184	0.977698823977631	0.488849411988816
151	0.486575900367765	0.97315180073553	0.513424099632235
152	0.482160682729693	0.964321365459386	0.517839317270307
153	0.458957997334748	0.917915994669496	0.541042002665252
154	0.435035992091479	0.870071984182957	0.564964007908521
155	0.432120480359815	0.86424096071963	0.567879519640185
156	0.394636150934929	0.789272301869858	0.605363849065071
157	0.436988748717121	0.873977497434241	0.56301125128288
158	0.547555093714559	0.904889812570883	0.452444906285441
159	0.50902330303161	0.98195339393678	0.49097669696839
160	0.470557046056746	0.94111409211349	0.529442953943254
161	0.466527642330007	0.933055284660014	0.533472357669993
162	0.498147119191219	0.996294238382438	0.501852880808781
163	0.517832739413877	0.964334521172246	0.482167260586123
164	0.5917159559399	0.816568088120199	0.408284044060099
165	0.562171174810207	0.875657650379586	0.437828825189793
166	0.52504080453322	0.94991839093356	0.47495919546678
167	0.498120016905365	0.99624003381073	0.501879983094635
168	0.457197243781976	0.914394487563952	0.542802756218024
169	0.421181145843275	0.84236229168655	0.578818854156725
170	0.390746231506163	0.781492463012326	0.609253768493837
171	0.371656532344888	0.743313064689777	0.628343467655112
172	0.340568494751107	0.681136989502213	0.659431505248893
173	0.31923553861622	0.63847107723244	0.68076446138378
174	0.283718674044329	0.567437348088657	0.716281325955671
175	0.249139322110096	0.498278644220192	0.750860677889904
176	0.299846296506819	0.599692593013638	0.700153703493181
177	0.264652363612985	0.529304727225969	0.735347636387015
178	0.236282526155761	0.472565052311522	0.763717473844239
179	0.245050361576853	0.490100723153706	0.754949638423147
180	0.214295059773244	0.428590119546488	0.785704940226756
181	0.198052166902409	0.396104333804818	0.801947833097591
182	0.221458547242653	0.442917094485305	0.778541452757348
183	0.210393755230808	0.420787510461615	0.789606244769192
184	0.185189566573495	0.37037913314699	0.814810433426505
185	0.163112468676608	0.326224937353215	0.836887531323392
186	0.140309675459617	0.280619350919235	0.859690324540383
187	0.149484795560909	0.298969591121817	0.850515204439091
188	0.145310730716671	0.290621461433343	0.854689269283329
189	0.150404034380749	0.300808068761497	0.849595965619251
190	0.133233280704792	0.266466561409585	0.866766719295208
191	0.113881834296292	0.227763668592583	0.886118165703708
192	0.0933872178085625	0.186774435617125	0.906612782191437
193	0.136002471384997	0.272004942769994	0.863997528615003
194	0.125923009904489	0.251846019808978	0.87407699009551
195	0.193400671431811	0.386801342863623	0.806599328568189
196	0.164406494961496	0.328812989922992	0.835593505038504
197	0.150965164669223	0.301930329338447	0.849034835330777
198	0.135891367826729	0.271782735653458	0.864108632173271
199	0.281038863217479	0.562077726434959	0.71896113678252
200	0.252208609324373	0.504417218648746	0.747791390675627
201	0.937750883417748	0.124498233164504	0.062249116582252
202	0.925471520350425	0.149056959299151	0.0745284796495754
203	0.908232449668565	0.18353510066287	0.0917675503314352
204	0.904393871499016	0.191212257001968	0.0956061285009842
205	0.880631458809395	0.238737082381209	0.119368541190605
206	0.859729168250148	0.280541663499705	0.140270831749852
207	0.82465058860876	0.35069882278248	0.17534941139124
208	0.791129652715196	0.417740694569608	0.208870347284804
209	0.745222316675733	0.509555366648533	0.254777683324267
210	0.766206146587234	0.467587706825531	0.233793853412766
211	0.81887852081285	0.3622429583743	0.18112147918715
212	0.852392653221065	0.295214693557869	0.147607346778935
213	0.831476328675142	0.337047342649716	0.168523671324858
214	0.788688880399304	0.422622239201391	0.211311119600696
215	0.775281880581459	0.449436238837082	0.224718119418541
216	0.72396144396278	0.552077112074441	0.27603855603722
217	0.657485106916074	0.685029786167853	0.342514893083926
218	0.68012503383691	0.63974993232618	0.31987496616309
219	0.620738120361565	0.75852375927687	0.379261879638435
220	0.562049936214873	0.875900127570255	0.437950063785127
221	0.490956618988773	0.981913237977546	0.509043381011227
222	0.425540366142265	0.85108073228453	0.574459633857735
223	0.361847794230809	0.723695588461618	0.638152205769191
224	0.388284142619596	0.776568285239192	0.611715857380404
225	0.322524623045672	0.645049246091344	0.677475376954328
226	0.414630197632958	0.829260395265915	0.585369802367042
227	0.412230397666476	0.824460795332952	0.587769602333524
228	0.670089713360867	0.659820573278266	0.329910286639133
229	0.54729545671525	0.9054090865695	0.45270454328475
230	0.821844565118557	0.356310869762886	0.178155434881443

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	24	0.108597285067873	NOK
5% type I error level	58	0.262443438914027	NOK
10% type I error level	85	0.384615384615385	NOK

\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 & 24 & 0.108597285067873 & NOK \tabularnewline
5% type I error level & 58 & 0.262443438914027 & NOK \tabularnewline
10% type I error level & 85 & 0.384615384615385 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116600&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]24[/C][C]0.108597285067873[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]58[/C][C]0.262443438914027[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]85[/C][C]0.384615384615385[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116600&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116600&T=6

As an alternative you can also use a QR Code:

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	24	0.108597285067873	NOK
5% type I error level	58	0.262443438914027	NOK
10% type I error level	85	0.384615384615385	NOK

Figure 1

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Figure 6

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Figure 7

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Figure 8

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Figure 9

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Figure 10

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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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code