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Author

*The author of this computation has been verified*

R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Wed, 10 Dec 2014 11:16:33 +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/2014/Dec/10/t1418210373msnv0ypw17m5bey.htm/, Retrieved Sun, 19 May 2024 13:56:42 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264924, Retrieved Sun, 19 May 2024 13:56:42 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

116

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

-     [Cronbach Alpha] [Intrinsic Motivat...] [2010-10-12 11:46:14] [b98453cac15ba1066b407e146608df68]
- RMPD  [Cronbach Alpha] [] [2014-12-09 22:15:28] [6b382800c0d3804662889dbce999b8c7]
- RMPD    [Notched Boxplots] [] [2014-12-10 09:38:26] [6b382800c0d3804662889dbce999b8c7]
- R  D      [Notched Boxplots] [] [2014-12-10 09:44:14] [6b382800c0d3804662889dbce999b8c7]
- RMPD          [Multiple Regression] [] [2014-12-10 11:16:33] [6993448de96b8662e47595bfdf466bf3] [Current]

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Dataseries X:

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Histogram

Boxplots

0	0	1,00	0,50	0,67	0,67	0,00	0,50	12,9
0	0	1,00	0,60	1,00	0,67	0,50	1,00	7,4
0	1	0,89	0,50	0,83	0,33	0,50	1,00	12,2
0	0	0,89	0,40	1,00	0,67	0,00	1,00	12,8
0	1	0,89	0,50	0,83	0,00	0,00	0,00	7,4
0	1	0,89	0,70	0,67	0,00	1,00	1,00	6,7
0	1	0,78	0,30	0,00	0,00	0,50	0,50	12,6
0	0	0,89	0,40	0,83	0,67	0,50	0,00	14,8
0	1	1,00	0,40	0,50	0,67	1,00	1,00	13,3
0	1	0,89	0,70	0,83	0,00	0,50	0,00	11,1
0	1	0,78	0,60	0,33	0,67	0,50	0,50	8,2
0	1	1,00	0,60	0,50	1,00	0,00	0,50	11,4
0	1	0,78	0,20	0,67	0,00	0,50	0,50	6,4
0	1	0,89	0,40	1,00	0,00	0,50	0,50	10,6
0	0	0,89	0,40	0,50	0,67	0,00	1,00	12,0
0	0	0,89	0,50	0,67	0,33	0,00	0,00	6,3
1	0	0,89	0,30	0,17	0,67	0,00	0,50	11,3
0	1	0,89	0,40	0,83	0,33	0,50	0,50	11,9
0	0	0,67	0,70	0,67	0,33	0,50	1,00	9,3
1	1	1,00	0,50	0,67	0,33	0,00	1,00	9,6
0	0	0,78	0,20	0,67	0,00	0,00	1,00	10,0
0	1	0,78	0,30	0,50	0,67	0,00	0,50	6,4
0	1	0,89	0,60	1,00	0,33	0,00	1,00	13,8
0	0	0,78	0,60	0,83	0,33	0,00	1,00	10,8
0	1	0,89	0,20	0,83	0,33	0,00	1,00	13,8
0	1	0,89	0,70	1,00	0,67	1,00	0,00	11,7
0	1	0,33	0,20	0,67	0,00	0,00	0,00	10,9
1	1	1,00	1,00	1,00	0,33	1,00	1,00	16,1
1	0	0,89	0,40	0,83	0,67	0,00	0,50	13,4
0	1	0,89	0,40	1,00	1,00	0,00	1,00	9,9
0	0	0,67	0,20	0,83	0,67	0,00	0,50	11,5
0	0	0,56	0,40	0,67	0,33	0,00	1,00	8,3
0	0	0,89	0,40	0,67	0,00	0,50	1,00	11,7
0	1	0,89	0,60	1,00	0,67	0,50	1,00	6,1
0	1	0,89	0,70	1,00	0,67	0,50	0,50	9,0
0	1	1,00	0,20	0,67	0,67	0,00	0,50	9,7
0	1	0,78	0,60	1,00	1,00	0,00	0,50	10,8
0	1	0,78	0,30	1,00	1,00	0,50	0,50	10,3
0	0	0,33	0,30	0,50	0,33	0,00	0,00	10,4
1	1	0,78	0,20	0,67	0,00	0,50	0,00	12,7
0	1	0,89	0,50	0,83	0,67	0,50	0,50	9,3
0	0	0,89	0,70	1,00	0,67	0,50	1,00	11,8
0	1	0,78	0,60	1,00	0,67	0,50	0,50	5,9
0	1	0,89	0,40	1,00	0,67	0,50	1,00	11,4
0	1	0,89	0,60	1,00	0,33	0,50	1,00	13,0
0	1	1,00	0,40	1,00	1,00	0,00	1,00	10,8
1	1	0,67	0,30	0,83	0,67	0,00	1,00	12,3
0	0	1,00	0,50	0,83	0,67	0,50	0,50	11,3
0	1	0,89	0,20	0,50	0,00	0,00	1,00	11,8
1	1	0,89	0,30	0,83	0,00	0,50	1,00	7,9
0	0	0,89	0,50	0,17	0,00	0,00	1,00	12,7
1	1	0,78	0,70	0,83	1,00	0,50	1,00	12,3
1	1	0,89	0,40	1,00	0,67	1,00	0,50	11,6
1	1	0,78	0,30	1,00	0,00	0,00	0,50	6,7
0	1	0,78	0,20	0,67	0,67	1,00	1,00	10,9
1	1	1,00	0,50	1,00	0,00	0,00	0,50	12,1
0	1	0,78	0,40	1,00	0,00	0,50	0,00	13,3
0	1	1,00	0,60	1,00	0,67	1,00	1,00	10,1
1	0	0,78	0,40	0,83	1,00	0,00	1,00	5,7
0	1	0,67	0,40	0,33	0,00	0,00	0,50	14,3
1	0	0,33	0,20	0,33	0,33	0,00	0,00	8,0
1	1	1,00	0,90	1,00	0,67	0,50	1,00	13,3
0	1	1,00	0,80	1,00	0,67	1,00	0,50	9,3
0	0	0,78	0,80	0,83	0,00	0,50	1,00	12,5
0	0	0,67	0,30	1,00	1,00	0,50	1,00	7,6
0	1	1,00	0,20	0,83	0,67	0,00	0,50	15,9
0	0	0,89	0,40	0,67	0,00	0,50	1,00	9,2
1	1	0,89	0,20	0,83	1,00	0,00	1,00	9,1
0	0	0,78	0,20	0,67	0,67	0,50	1,00	11,1
0	1	1,00	0,10	0,83	0,67	0,00	1,00	13,0
0	1	0,56	0,40	0,67	1,00	0,50	0,00	14,5
1	0	0,67	0,50	1,00	0,00	0,50	0,50	12,2
0	0	0,89	0,80	0,83	0,33	0,50	1,00	12,3
0	0	0,89	0,40	0,67	0,67	0,00	0,50	11,4
1	0	0,89	0,60	0,83	0,33	0,50	0,50	8,8
1	1	0,89	0,50	0,83	0,67	0,50	1,00	14,6
0	1	1,00	0,60	1,00	0,67	0,50	1,00	7,3
0	0	0,78	0,30	0,67	0,00	0,00	0,00	12,6
0	1	0,89	0,80	1,00	1,00	0,50	1,00	NA
0	0	1,00	0,40	0,33	0,00	0,50	0,00	13,0
1	1	1,00	0,60	0,83	0,67	0,50	0,50	12,6
0	0	0,89	0,40	1,00	0,33	0,00	0,50	13,2
1	0	0,44	0,30	0,83	0,00	0,00	0,00	9,9
0	1	0,78	0,80	0,83	0,00	1,00	1,00	7,7
1	0	0,89	0,60	0,50	0,33	1,00	1,00	10,5
1	0	0,67	0,30	0,50	0,00	0,00	0,00	13,4
1	0	0,78	0,50	0,83	0,67	0,50	1,00	10,9
1	1	0,78	0,40	1,00	0,33	0,00	1,00	4,3
1	0	0,33	0,30	0,33	0,67	0,00	0,00	10,3
1	1	0,89	0,70	1,00	0,33	0,00	0,50	11,8
1	1	0,89	0,20	0,67	0,33	0,50	0,50	11,2
1	0	0,89	0,40	0,83	1,00	0,00	1,00	11,4
1	0	0,89	0,60	1,00	0,67	0,50	0,50	8,6
1	0	0,56	0,60	0,83	0,00	0,00	1,00	13,2
1	1	0,67	0,60	0,83	0,67	0,50	0,50	12,6
1	1	0,67	0,40	1,00	0,33	0,50	1,00	5,6
1	1	0,78	0,60	0,83	0,00	0,00	1,00	9,9
1	0	0,78	0,50	1,00	0,33	0,50	1,00	8,8
1	1	0,78	0,50	0,83	0,00	0,00	1,00	7,7
1	0	0,89	0,60	0,67	0,00	0,00	1,00	9,0
1	1	1,00	0,80	0,83	0,33	0,50	1,00	7,3
1	1	0,89	0,50	0,83	0,67	1,00	0,50	11,4
1	1	0,89	0,60	0,83	0,67	0,50	1,00	13,6
1	1	0,78	0,40	0,83	0,67	0,50	1,00	7,9
1	1	1,00	0,30	0,67	0,67	0,50	1,00	10,7
1	0	0,78	0,30	0,83	1,00	0,00	0,50	10,3
1	1	0,67	0,20	0,00	0,00	0,00	0,00	8,3
1	1	0,78	0,40	0,83	0,00	0,00	0,50	9,6
1	1	0,89	0,50	1,00	0,00	0,00	0,50	14,2
1	0	0,67	0,30	0,17	0,00	0,50	0,00	8,5
1	0	0,22	0,40	0,17	0,00	0,50	0,00	13,5
1	0	0,44	0,50	0,50	1,00	0,00	0,00	4,9
1	0	0,89	0,30	0,50	0,67	0,00	1,00	6,4
1	0	0,67	0,50	1,00	0,00	0,00	0,50	9,6
1	0	0,89	0,40	0,67	0,67	0,00	0,50	11,6
1	1	0,67	0,40	0,83	0,67	0,00	1,00	11,1
0	1	0,78	0,60	1,00	0,00	1,00	1,00	4,35
0	1	0,78	0,30	1,00	0,67	1,00	1,00	12,7
0	1	0,78	0,40	1,00	0,33	1,00	0,50	18,1
0	1	1,00	0,30	1,00	1,00	1,00	1,00	17,85
1	0	0,78	1,00	1,00	1,00	1,00	1,00	16,6
1	1	0,67	0,40	1,00	0,00	0,00	0,50	12,6
0	1	0,89	0,80	0,83	1,00	0,50	1,00	17,1
0	0	0,89	0,30	1,00	0,67	1,00	1,00	19,1
0	1	1,00	0,50	0,83	0,67	0,00	1,00	16,1
0	0	0,78	0,40	1,00	0,00	0,00	0,50	13,35
0	0	0,67	0,30	0,83	0,67	0,00	1,00	18,4
0	1	0,89	0,50	0,83	1,00	0,00	1,00	14,7
0	1	0,67	0,30	1,00	0,67	0,00	1,00	10,6
0	1	0,67	0,30	0,67	0,00	0,00	1,00	12,6
0	1	1,00	0,40	0,83	0,00	0,00	1,00	16,2
0	1	0,67	0,30	1,00	0,00	0,00	0,50	13,6
1	1	1,00	0,60	1,00	0,33	0,50	0,50	18,9
0	1	0,89	0,60	0,83	0,67	1,00	1,00	14,1
0	1	0,89	0,40	1,00	1,00	1,00	1,00	14,5
0	0	1,00	0,40	1,00	0,00	0,00	0,00	16,15
0	1	0,67	0,40	1,00	0,67	0,00	0,50	14,75
0	1	0,44	0,30	0,67	0,67	0,50	1,00	14,8
0	1	0,89	0,20	1,00	0,33	1,00	0,00	12,45
0	1	0,56	0,50	0,83	0,67	0,00	1,00	12,65
0	1	0,78	0,40	1,00	0,67	1,00	1,00	17,35
0	1	1,00	0,40	1,00	0,67	0,00	0,00	8,6
0	0	1,00	0,40	0,83	0,67	0,00	1,00	18,4
0	1	0,89	0,30	0,67	0,67	0,50	0,50	16,1
1	1	0,67	0,40	0,83	0,67	1,00	0,50	11,6
0	1	0,89	0,20	1,00	0,33	0,50	1,00	17,75
0	1	0,33	0,00	0,00	0,00	0,00	0,00	15,25
0	1	0,89	0,40	1,00	0,67	0,50	1,00	17,65
0	0	0,78	0,30	0,67	0,00	0,00	0,00	15,6
0	0	0,78	0,60	1,00	0,00	1,00	1,00	16,35
0	0	1,00	0,40	0,67	0,67	0,00	0,50	17,65
0	1	0,44	0,40	1,00	0,00	0,00	0,50	13,6
0	0	0,78	0,20	0,67	0,00	0,00	0,00	11,7
0	0	0,67	0,40	0,83	0,00	0,50	0,00	14,35
0	0	0,33	0,20	0,17	0,00	0,50	0,00	14,75
0	1	0,89	0,40	0,83	1,00	1,00	1,00	18,25
0	0	0,89	0,30	0,83	0,00	0,00	0,50	9,9
0	1	1,00	0,60	0,83	0,67	1,00	0,00	16
0	1	0,89	0,60	0,83	1,00	0,00	1,00	18,25
0	0	0,89	0,40	0,83	0,00	0,00	1,00	16,85
1	1	1,00	0,50	1,00	0,67	1,00	0,50	14,6
1	1	0,89	0,40	0,83	0,00	0,50	1,00	13,85
0	1	1,00	0,60	1,00	1,00	1,00	1,00	18,95
0	0	0,78	0,60	0,83	0,67	0,50	1,00	15,6
1	0	0,78	0,90	1,00	0,67	0,50	1,00	14,85
1	0	0,67	0,40	0,83	0,67	0,50	0,00	11,75
1	0	0,89	0,80	1,00	1,00	0,50	1,00	18,45
1	1	0,67	0,50	0,83	1,00	0,00	1,00	15,9
0	0	0,78	0,40	0,83	1,00	0,00	0,00	17,1
0	1	0,89	0,40	1,00	0,67	1,00	0,50	16,1
1	0	0,89	0,70	1,00	1,00	1,00	0,50	19,9
1	1	0,78	0,40	1,00	0,33	1,00	1,00	10,95
1	0	1,00	0,80	1,00	0,67	0,50	1,00	18,45
1	1	1,00	0,40	1,00	1,00	1,00	0,50	15,1
1	0	1,00	0,30	1,00	0,67	0,00	0,50	15
1	0	0,67	0,50	1,00	0,67	0,50	1,00	11,35
1	1	0,89	0,80	1,00	0,67	1,00	1,00	15,95
1	0	1,00	0,40	0,83	0,33	0,00	0,50	18,1
1	1	1,00	1,00	1,00	1,00	0,50	0,00	14,6
0	1	0,89	0,50	1,00	0,67	1,00	1,00	15,4
0	1	0,89	0,50	1,00	0,67	1,00	1,00	15,4
1	1	0,89	0,30	1,00	0,33	0,00	1,00	17,6
0	1	0,89	0,30	0,83	0,33	0,50	1,00	13,35
0	0	0,89	0,30	0,50	0,00	0,00	1,00	19,1
1	1	1,00	0,40	0,67	0,33	0,50	0,50	15,35
0	0	0,67	0,50	1,00	0,33	0,00	1,00	7,6
1	0	1,00	0,50	0,67	0,67	0,50	1,00	13,4
1	0	0,89	0,40	1,00	0,00	0,00	0,00	13,9
0	1	0,89	0,70	1,00	1,00	0,50	0,00	19,1
1	0	0,89	0,50	0,50	0,33	0,00	0,50	15,25
1	1	0,89	0,40	0,67	0,33	1,00	0,00	12,9
1	0	1,00	0,70	0,67	1,00	0,00	1,00	16,1
1	0	1,00	0,70	0,67	1,00	0,00	1,00	17,35
1	0	1,00	0,70	0,67	1,00	0,00	1,00	13,15
1	0	0,89	0,70	0,67	1,00	0,00	1,00	12,15
1	1	0,89	0,70	0,67	0,00	0,00	0,00	12,6
1	1	0,89	0,70	1,00	0,67	0,50	1,00	10,35
1	1	0,33	0,10	0,67	0,33	0,50	0,00	15,4
1	1	0,67	0,20	0,67	0,67	0,50	1,00	9,6
1	0	0,56	0,30	0,33	0,33	0,00	1,00	18,2
1	0	0,44	0,60	0,83	0,33	0,00	0,50	13,6
1	1	1,00	0,80	1,00	1,00	1,00	1,00	14,85
0	0	0,89	0,80	1,00	0,33	0,50	0,50	14,75
1	0	0,33	0,00	0,17	0,00	0,00	0,00	14,1
1	0	0,67	0,30	0,67	0,33	0,00	1,00	14,9
1	0	0,67	0,60	0,83	0,33	0,50	1,00	16,25
0	1	1,00	0,50	0,83	0,67	0,00	1,00	19,25
1	1	0,78	0,70	1,00	0,33	0,00	0,50	13,6
0	0	0,67	0,30	0,83	0,00	0,50	1,00	13,6
1	0	1,00	0,30	1,00	0,67	0,00	0,00	15,65
0	1	0,78	0,40	1,00	0,67	0,00	0,50	12,75
1	0	0,89	0,40	0,83	1,00	0,00	1,00	14,6
0	1	0,89	0,10	0,83	0,00	0,00	1,00	9,85
1	1	0,89	0,50	1,00	0,67	0,00	1,00	12,65
1	1	0,78	0,30	0,67	0,33	0,00	0,50	11,9
1	0	0,00	0,00	0,00	0,00	0,00	0,00	19,2
1	1	0,67	0,40	1,00	0,33	0,50	0,00	16,6
1	1	1,00	0,60	0,83	0,67	1,00	0,50	11,2
0	1	1,00	0,40	1,00	0,33	0,50	1,00	15,25
0	0	0,67	0,10	0,33	0,00	0,50	1,00	11,9
1	0	0,89	0,30	0,83	0,00	0,00	1,00	13,2
0	0	0,89	0,70	0,83	0,67	0,00	1,00	16,35
0	1	0,56	0,30	0,17	0,00	0,00	1,00	12,4
1	1	0,67	0,50	0,83	0,33	0,50	0,00	15,85
0	0	0,67	0,30	0,67	0,33	0,00	0,00	14,35
0	1	1,00	0,30	0,83	0,67	1,00	1,00	18,15
1	1	1,00	0,60	0,67	0,67	0,50	1,00	11,15
1	0	1,00	0,90	1,00	1,00	0,00	1,00	15,65
0	0	0,67	0,40	0,83	0,00	0,50	1,00	17,75
1	0	0,44	0,30	1,00	0,00	0,50	0,50	7,65
0	1	0,89	0,90	1,00	0,67	1,00	1,00	12,35
0	1	0,44	0,50	1,00	0,00	0,50	0,00	15,6
0	0	0,56	0,30	1,00	1,00	0,50	0,50	19,3
1	0	0,89	0,60	0,83	0,67	0,00	0,50	15,2
0	0	0,67	0,20	1,00	0,33	0,00	0,50	17,1
1	1	0,89	0,40	0,83	1,00	0,50	1,00	15,6
0	1	1,00	0,50	0,83	0,67	0,50	0,50	18,4
0	0	0,78	0,40	0,83	0,67	0,00	0,50	19,05
0	0	0,44	0,00	0,00	0,00	0,00	0,00	18,55
0	0	0,89	0,20	1,00	0,33	0,50	1,00	19,1
1	1	0,89	0,50	1,00	0,67	0,50	1,00	13,1
0	1	0,89	0,30	1,00	0,67	0,00	0,50	12,85
0	1	0,44	0,00	0,00	0,00	0,00	0,00	9,5
0	1	1,00	0,50	0,83	1,00	0,00	1,00	4,5
1	0	0,89	0,60	0,83	0,33	0,00	1,00	11,85
0	1	0,67	0,30	0,83	0,00	0,50	0,50	13,6
0	1	0,33	0,00	0,00	0,00	0,00	0,00	11,7
1	1	0,78	0,30	0,67	0,00	0,50	0,00	12,4
0	0	0,89	0,50	1,00	0,67	0,50	1,00	13,35
1	0	0,78	0,40	0,67	0,00	0,00	1,00	11,4
1	1	0,78	0,50	0,83	0,67	0,00	0,50	14,9
1	0	0,89	0,70	1,00	1,00	1,00	0,50	19,9
0	1	0,89	0,40	0,83	1,00	0,50	1,00	17,75
1	1	0,78	0,80	1,00	0,67	0,50	1,00	11,2
1	1	0,78	0,60	1,00	0,33	0,50	1,00	14,6
0	0	0,67	0,40	0,83	0,33	0,00	0,50	17,6
0	1	0,89	0,50	0,83	0,33	0,50	0,00	14,05
0	0	0,89	0,50	1,00	0,00	0,50	1,00	16,1
0	1	0,78	0,30	1,00	0,33	0,00	1,00	13,35
0	1	1,00	0,60	1,00	0,00	0,50	1,00	11,85
0	0	1,00	0,30	0,67	0,67	0,00	0,50	11,95
1	1	0,78	0,60	0,83	1,00	0,50	0,50	14,75
1	0	0,78	0,30	0,33	0,33	0,00	1,00	15,15
0	1	0,89	0,70	1,00	0,67	1,00	1,00	13,2
1	0	0,89	0,70	1,00	1,00	0,00	1,00	16,85
1	1	0,67	0,60	0,67	1,00	0,50	1,00	7,85
0	0	1,00	0,50	1,00	0,33	0,50	0,00	7,7
1	0	0,67	0,50	0,83	0,33	0,00	0,50	12,6
1	1	0,56	0,40	0,67	0,00	0,00	1,00	7,85
1	1	0,78	0,40	1,00	0,33	1,00	1,00	10,95
1	0	1,00	0,70	1,00	1,00	0,00	1,00	12,35
1	1	0,67	0,20	0,17	0,00	0,50	0,00	9,95
1	1	0,78	0,50	0,83	0,67	0,00	0,50	14,9
1	0	0,56	0,40	0,83	0,67	0,50	0,00	16,65
1	1	1,00	0,20	1,00	0,67	1,00	1,00	13,4
1	0	0,89	0,50	0,67	0,67	0,00	0,00	13,95
1	0	0,44	0,40	0,50	0,00	0,00	1,00	15,7
1	1	1,00	0,70	0,67	1,00	1,00	1,00	16,85
1	1	0,89	0,60	0,83	0,67	1,00	0,00	10,95
1	0	0,78	0,40	0,83	0,00	0,00	0,00	15,35
1	1	0,89	0,50	1,00	0,67	1,00	1,00	12,2
1	0	0,11	0,00	0,17	0,00	0,00	0,00	15,1
1	0	0,89	0,70	1,00	0,67	0,50	1,00	17,75
1	1	0,89	0,40	0,67	0,67	0,00	1,00	15,2
0	0	1,00	0,50	0,67	1,00	0,00	1,00	14,6
1	0	0,89	0,60	0,83	0,67	0,00	0,50	16,65
1	1	1,00	0,80	0,50	0,67	0,50	0,50	8,1

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	'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 10 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264924&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264924&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264924&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	'Gwilym Jenkins' @ jenkins.wessa.net

Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 12.4729 -0.430305group[t] -1.33506gender[t] + 0.440514Calculation[t] -1.37441Algebraic_Reasoning[t] + 1.09558Graphical_Interpretation[t] + 1.62115Proportionality_and_Ratio[t] + 0.990215Probability_and_Sampling[t] -0.428094Estimation[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  +  12.4729 -0.430305group[t] -1.33506gender[t] +  0.440514Calculation[t] -1.37441Algebraic_Reasoning[t] +  1.09558Graphical_Interpretation[t] +  1.62115Proportionality_and_Ratio[t] +  0.990215Probability_and_Sampling[t] -0.428094Estimation[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264924&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  +  12.4729 -0.430305group[t] -1.33506gender[t] +  0.440514Calculation[t] -1.37441Algebraic_Reasoning[t] +  1.09558Graphical_Interpretation[t] +  1.62115Proportionality_and_Ratio[t] +  0.990215Probability_and_Sampling[t] -0.428094Estimation[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264924&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264924&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
TOT[t] = + 12.4729 -0.430305group[t] -1.33506gender[t] + 0.440514Calculation[t] -1.37441Algebraic_Reasoning[t] + 1.09558Graphical_Interpretation[t] + 1.62115Proportionality_and_Ratio[t] + 0.990215Probability_and_Sampling[t] -0.428094Estimation[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)	12.4729	1.00984	12.35	3.257e-28	1.6285e-28
group	-0.430305	0.411411	-1.046	0.296507	0.148254
gender	-1.33506	0.427128	-3.126	0.00196264	0.00098132
Calculation	0.440514	1.3677	0.3221	0.747632	0.373816
Algebraic_Reasoning	-1.37441	1.28462	-1.07	0.285599	0.142799
Graphical_Interpretation	1.09558	1.00203	1.093	0.275184	0.137592
Proportionality_and_Ratio	1.62115	0.627483	2.584	0.0102911	0.00514554
Probability_and_Sampling	0.990215	0.601893	1.645	0.101069	0.0505346
Estimation	-0.428094	0.552811	-0.7744	0.439357	0.219679

\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) & 12.4729 & 1.00984 & 12.35 & 3.257e-28 & 1.6285e-28 \tabularnewline
group & -0.430305 & 0.411411 & -1.046 & 0.296507 & 0.148254 \tabularnewline
gender & -1.33506 & 0.427128 & -3.126 & 0.00196264 & 0.00098132 \tabularnewline
Calculation & 0.440514 & 1.3677 & 0.3221 & 0.747632 & 0.373816 \tabularnewline
Algebraic_Reasoning & -1.37441 & 1.28462 & -1.07 & 0.285599 & 0.142799 \tabularnewline
Graphical_Interpretation & 1.09558 & 1.00203 & 1.093 & 0.275184 & 0.137592 \tabularnewline
Proportionality_and_Ratio & 1.62115 & 0.627483 & 2.584 & 0.0102911 & 0.00514554 \tabularnewline
Probability_and_Sampling & 0.990215 & 0.601893 & 1.645 & 0.101069 & 0.0505346 \tabularnewline
Estimation & -0.428094 & 0.552811 & -0.7744 & 0.439357 & 0.219679 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264924&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]12.4729[/C][C]1.00984[/C][C]12.35[/C][C]3.257e-28[/C][C]1.6285e-28[/C][/ROW]
[ROW][C]group[/C][C]-0.430305[/C][C]0.411411[/C][C]-1.046[/C][C]0.296507[/C][C]0.148254[/C][/ROW]
[ROW][C]gender[/C][C]-1.33506[/C][C]0.427128[/C][C]-3.126[/C][C]0.00196264[/C][C]0.00098132[/C][/ROW]
[ROW][C]Calculation[/C][C]0.440514[/C][C]1.3677[/C][C]0.3221[/C][C]0.747632[/C][C]0.373816[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]-1.37441[/C][C]1.28462[/C][C]-1.07[/C][C]0.285599[/C][C]0.142799[/C][/ROW]
[ROW][C]Graphical_Interpretation[/C][C]1.09558[/C][C]1.00203[/C][C]1.093[/C][C]0.275184[/C][C]0.137592[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[/C][C]1.62115[/C][C]0.627483[/C][C]2.584[/C][C]0.0102911[/C][C]0.00514554[/C][/ROW]
[ROW][C]Probability_and_Sampling[/C][C]0.990215[/C][C]0.601893[/C][C]1.645[/C][C]0.101069[/C][C]0.0505346[/C][/ROW]
[ROW][C]Estimation[/C][C]-0.428094[/C][C]0.552811[/C][C]-0.7744[/C][C]0.439357[/C][C]0.219679[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264924&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264924&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)	12.4729	1.00984	12.35	3.257e-28	1.6285e-28
group	-0.430305	0.411411	-1.046	0.296507	0.148254
gender	-1.33506	0.427128	-3.126	0.00196264	0.00098132
Calculation	0.440514	1.3677	0.3221	0.747632	0.373816
Algebraic_Reasoning	-1.37441	1.28462	-1.07	0.285599	0.142799
Graphical_Interpretation	1.09558	1.00203	1.093	0.275184	0.137592
Proportionality_and_Ratio	1.62115	0.627483	2.584	0.0102911	0.00514554
Probability_and_Sampling	0.990215	0.601893	1.645	0.101069	0.0505346
Estimation	-0.428094	0.552811	-0.7744	0.439357	0.219679

Multiple Linear Regression - Regression Statistics
Multiple R	0.264835
R-squared	0.0701376
Adjusted R-squared	0.0432824
F-TEST (value)	2.61169
F-TEST (DF numerator)	8
F-TEST (DF denominator)	277
p-value	0.00905903
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	3.34641
Sum Squared Residuals	3101.97

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.264835 \tabularnewline
R-squared & 0.0701376 \tabularnewline
Adjusted R-squared & 0.0432824 \tabularnewline
F-TEST (value) & 2.61169 \tabularnewline
F-TEST (DF numerator) & 8 \tabularnewline
F-TEST (DF denominator) & 277 \tabularnewline
p-value & 0.00905903 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.34641 \tabularnewline
Sum Squared Residuals & 3101.97 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264924&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.264835[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0701376[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0432824[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]2.61169[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]8[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]277[/C][/ROW]
[ROW][C]p-value[/C][C]0.00905903[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.34641[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]3101.97[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264924&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264924&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	0.264835
R-squared	0.0701376
Adjusted R-squared	0.0432824
F-TEST (value)	2.61169
F-TEST (DF numerator)	8
F-TEST (DF denominator)	277
p-value	0.00905903
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	3.34641
Sum Squared Residuals	3101.97

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	12.9	13.8323	-0.932343
2	7.4	14.3375	-6.93751
3	12.2	12.354	-0.153995
4	12.8	14.0688	-1.26882
5	7.4	11.752	-4.352
6	6.7	11.8639	-5.16395
7	12.6	11.3502	1.24985
8	14.8	14.8058	-0.00577569
9	13.3	13.2246	0.0753537
10	11.1	11.9722	-0.87223
11	8.2	12.3855	-4.18554
12	11.4	12.7086	-1.30858
13	6.4	12.2216	-5.82164
14	10.6	12.3568	-1.75675
15	12	13.521	-1.52103
16	6.3	13.4467	-7.14674
17	11.3	13.0807	-1.78067
18	11.9	12.7055	-0.805482
19	9.3	13.142	-3.84196
20	9.6	11.3017	-1.70174
21	10	12.8475	-2.84754
22	6.4	12.489	-6.08901
23	13.8	11.9077	1.8923
24	10.8	13.008	-2.20805
25	13.8	12.2712	1.52879
26	11.7	13.7398	-2.03975
27	10.9	11.7423	-0.842343
28	16.1	11.9663	4.1337
29	13.4	13.6663	-0.266316
30	9.9	13.2687	-3.36874
31	11.5	14.2746	-2.77459
32	8.3	13.0107	-4.71072
33	11.7	13.1162	-1.41622
34	6.1	12.954	-6.85399
35	9	13.0306	-4.0306
36	9.7	12.9096	-3.20961
37	10.8	13.1595	-2.35945
38	10.3	14.0669	-3.76688
39	10.4	13.2887	-2.88869
40	12.7	12.0054	0.694623
41	9.3	13.1192	-3.81923
42	11.8	14.1516	-2.35161
43	5.9	13.1196	-7.21958
44	11.4	13.2289	-1.82887
45	13	12.4028	0.597197
46	10.8	13.3172	-2.5172
47	12.3	12.1577	0.142261
48	11.3	14.5027	-3.20274
49	11.8	11.3747	0.425312
50	7.9	11.6636	-3.76359
51	12.7	11.9359	0.76412
52	12.3	12.6865	-0.38652
53	11.6	13.5077	-1.90772
54	6.7	11.5203	-4.82032
55	10.9	13.5889	-2.68886
56	12.1	11.3424	0.757643
57	13.3	12.5223	0.777656
58	10.1	13.4976	-3.39756
59	5.7	13.9388	-8.23879
60	14.3	11.0307	3.26931
61	8	12.8096	-4.80957
62	13.3	12.1598	1.14018
63	9.3	13.4367	-4.13672
64	12.5	12.6933	-0.193295
65	7.6	15.1394	-7.53944
66	15.9	13.0849	2.8151
67	9.2	13.1162	-3.91622
68	9.1	12.9271	-3.82707
69	11.1	14.4288	-3.32881
70	13	13.0083	-0.00829538
71	14.5	13.685	0.814966
72	12.2	13.0272	-0.827151
73	12.3	13.2767	-0.976729
74	11.4	13.9213	-2.52133
75	8.8	13.3354	-4.53535
76	14.6	12.4749	2.12512
77	7.3	13.0024	-5.70245
78	12.6	13.1382	-0.538191
79	NA	NA	-0.220272
80	13	12.9999	5.77033e-05
81	12.6	13.1317	-0.53168
82	13.2	16.0334	-2.8334
83	9.9	14.0533	-4.15335
84	7.7	10.4549	-2.75487
85	10.5	9.57318	0.926821
86	13.4	16.2615	-2.86148
87	10.9	18.3038	-7.40381
88	4.3	7.22332	-2.92332
89	10.3	10.054	0.246003
90	11.8	12.9748	-1.17476
91	11.2	13.7872	-2.58725
92	11.4	16.8728	-5.47279
93	8.6	7.34585	1.25415
94	13.2	13.0546	0.145427
95	12.6	19.1505	-6.55047
96	5.6	6.40771	-0.807706
97	9.9	14.4965	-4.59654
98	8.8	11.9451	-3.14515
99	7.7	10.6159	-2.91593
100	9	13.2598	-4.25982
101	7.3	9.08403	-1.78403
102	11.4	10.1374	1.26256
103	13.6	18.2639	-4.66386
104	7.9	9.82292	-1.92292
105	10.7	14.6903	-3.99028
106	10.3	12.7278	-2.42777
107	8.3	9.89663	-1.59663
108	9.6	6.6939	2.9061
109	14.2	18.3067	-4.10674
110	8.5	7.27107	1.22893
111	13.5	22.3181	-8.81813
112	4.9	11.7282	-6.82817
113	6.4	9.33204	-2.93204
114	9.6	11.491	-1.89102
115	11.6	12.5203	-0.920299
116	11.1	19.0645	-7.96448
117	4.35	5.46297	-1.11297
118	12.7	7.93838	4.76162
119	18.1	14.6949	3.40514
120	17.85	15.5406	2.30939
121	16.6	15.3344	1.26557
122	12.6	8.52784	4.07216
123	17.1	13.1965	3.90352
124	19.1	15.4585	3.64147
125	16.1	15.8982	0.201754
126	13.35	8.8731	4.4769
127	18.4	16.6451	1.75495
128	14.7	16.8743	-2.17429
129	10.6	9.32658	1.27342
130	12.6	7.90981	4.69019
131	16.2	14.5022	1.69783
132	13.6	6.935	6.665
133	18.9	18.0629	0.837149
134	14.1	13.859	0.24104
135	14.5	11.8092	2.69079
136	16.15	14.2509	1.8991
137	14.75	12.7565	1.99346
138	14.8	16.2258	-1.42577
139	12.45	12.0647	0.385293
140	12.65	8.97553	3.67447
141	17.35	21.9603	-4.61032
142	8.6	4.13103	4.46897
143	18.4	15.5188	2.88118
144	16.1	17.7246	-1.62456
145	11.6	6.80257	4.79743
146	17.75	13.7832	3.96682
147	15.25	10.8289	4.42113
148	17.65	15.1882	2.46181
149	15.6	12.8995	2.70047
150	16.35	12.6698	3.68022
151	17.65	15.7134	1.93659
152	13.6	15.1756	-1.57563
153	11.7	10.9727	0.727305
154	14.35	12.6247	1.72528
155	14.75	10.5727	4.17729
156	18.25	21.4979	-3.24789
157	9.9	7.6394	2.2606
158	16	10.5576	5.44239
159	18.25	14.1964	4.05359
160	16.85	15.6687	1.18126
161	14.6	12.2762	2.32385
162	13.85	8.93254	4.91746
163	18.95	17.4043	1.54566
164	15.6	14.148	1.45203
165	14.85	17.3786	-2.52856
166	11.75	7.41884	4.33116
167	18.45	14.9678	3.48216
168	15.9	13.5972	2.30281
169	17.1	14.938	2.16197
170	16.1	11.1654	4.93456
171	19.9	21.644	-1.74403
172	10.95	6.13232	4.81768
173	18.45	17.4412	1.00884
174	15.1	14.1385	0.961538
175	15	17.5493	-2.54927
176	11.35	8.14391	3.20609
177	15.95	11.0136	4.93642
178	18.1	16.4855	1.61455
179	14.6	12.7865	1.81346
180	15.4	13.5865	1.81346
181	15.4	9.68971	5.71029
182	17.6	16.8789	0.721124
183	13.35	6.8223	6.5277
184	19.1	15.8983	3.20166
185	15.35	21.0333	-5.68328
186	7.6	7.8831	-0.283099
187	13.4	12.4804	0.919556
188	13.9	8.57963	5.32037
189	19.1	16.4661	2.63386
190	15.25	15.159	0.0909615
191	12.9	10.2481	2.65191
192	16.1	12.1981	3.90191
193	17.35	17.6481	-0.298088
194	13.15	14.3996	-1.24963
195	12.15	10.4215	1.72848
196	12.6	14.6362	-2.03625
197	10.35	7.42956	2.92044
198	15.4	18.415	-3.01499
199	9.6	3.74536	5.85464
200	18.2	17.242	0.957987
201	13.6	12.0773	1.52265
202	14.85	13.777	1.07297
203	14.75	13.0242	1.72582
204	14.1	11.9663	2.13369
205	14.9	11.6744	3.22561
206	16.25	9.45853	6.79147
207	19.25	17.1555	2.09446
208	13.6	13.332	0.267959
209	13.6	12.2025	1.39749
210	15.65	15.7994	-0.149357
211	12.75	12.1372	0.612753
212	14.6	16.6237	-2.02367
213	9.85	9.36602	0.483979
214	12.65	12.4438	0.20624
215	11.9	4.74256	7.15744
216	19.2	15.1786	4.02144
217	16.6	18.495	-1.89505
218	11.2	8.67614	2.52386
219	15.25	16.4091	-1.15913
220	11.9	11.2035	0.696459
221	13.2	10.3203	2.87975
222	16.35	14.6803	1.66967
223	12.4	8.80487	3.59513
224	15.85	15.1247	0.725288
225	14.35	9.92363	4.42637
226	18.15	19.2106	-1.0606
227	11.15	9.03475	2.11525
228	15.65	11.0946	4.5554
229	17.75	23.3007	-5.55071
230	7.65	8.33678	-0.686779
231	12.35	8.98513	3.36487
232	15.6	11.605	3.99497
233	19.3	17.4914	1.80857
234	15.2	12.0096	3.19035
235	17.1	14.6473	2.4527
236	15.6	10.3677	5.23231
237	18.4	13.3982	5.00184
238	19.05	13.1667	5.8833
239	18.55	13.7376	4.81238
240	19.1	18.6611	0.438872
241	13.1	13.3353	-0.235254
242	12.85	14.6816	-1.83164
243	9.5	17.9935	-8.49351
244	4.5	5.2762	-0.776198
245	11.85	10.461	1.38897
246	13.6	13.1832	0.416817
247	11.7	11.1679	0.532063
248	12.4	13.4765	-1.07649
249	13.35	14.0924	-0.74235
250	11.4	8.64536	2.75464
251	14.9	9.96544	4.93456
252	19.9	15.7276	4.1724
253	17.75	18.7504	-1.00035
254	11.2	8.52404	2.67596
255	14.6	10.4485	4.15148
256	17.6	16.3321	1.26791
257	14.05	11.2903	2.75968
258	16.1	15.0216	1.07844
259	13.35	13.4163	-0.0662818
260	11.85	14.0072	-2.15722
261	11.95	10.238	1.71199
262	14.75	12.0423	2.70773
263	15.15	15.2617	-0.11166
264	13.2	10.1112	3.08883
265	16.85	21.6002	-4.75021
266	7.85	14.5019	-6.65185
267	7.7	7.98077	-0.280772
268	12.6	15.4604	-2.86038
269	7.85	9.59403	-1.74403
270	10.95	12.4096	-1.45963
271	12.35	13.8091	-1.45913
272	9.95	7.19536	2.75464
273	14.9	12.4801	2.4199
274	16.65	16.867	-0.217014
275	13.4	13.0176	0.382371
276	13.95	10.0563	3.89367
277	15.7	11.9532	3.74675
278	16.85	19.1606	-2.31064
279	10.95	8.34574	2.60426
280	15.35	16.3062	-0.956236
281	12.2	9.37727	2.82273
282	15.1	11.0713	4.0287
283	17.75	14.4919	3.25808
284	15.2	14.7533	0.446726
285	14.6	11.3414	3.25857
286	16.65	20.5135	-3.86352
287	8.1	NA	NA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 13.8323 & -0.932343 \tabularnewline
2 & 7.4 & 14.3375 & -6.93751 \tabularnewline
3 & 12.2 & 12.354 & -0.153995 \tabularnewline
4 & 12.8 & 14.0688 & -1.26882 \tabularnewline
5 & 7.4 & 11.752 & -4.352 \tabularnewline
6 & 6.7 & 11.8639 & -5.16395 \tabularnewline
7 & 12.6 & 11.3502 & 1.24985 \tabularnewline
8 & 14.8 & 14.8058 & -0.00577569 \tabularnewline
9 & 13.3 & 13.2246 & 0.0753537 \tabularnewline
10 & 11.1 & 11.9722 & -0.87223 \tabularnewline
11 & 8.2 & 12.3855 & -4.18554 \tabularnewline
12 & 11.4 & 12.7086 & -1.30858 \tabularnewline
13 & 6.4 & 12.2216 & -5.82164 \tabularnewline
14 & 10.6 & 12.3568 & -1.75675 \tabularnewline
15 & 12 & 13.521 & -1.52103 \tabularnewline
16 & 6.3 & 13.4467 & -7.14674 \tabularnewline
17 & 11.3 & 13.0807 & -1.78067 \tabularnewline
18 & 11.9 & 12.7055 & -0.805482 \tabularnewline
19 & 9.3 & 13.142 & -3.84196 \tabularnewline
20 & 9.6 & 11.3017 & -1.70174 \tabularnewline
21 & 10 & 12.8475 & -2.84754 \tabularnewline
22 & 6.4 & 12.489 & -6.08901 \tabularnewline
23 & 13.8 & 11.9077 & 1.8923 \tabularnewline
24 & 10.8 & 13.008 & -2.20805 \tabularnewline
25 & 13.8 & 12.2712 & 1.52879 \tabularnewline
26 & 11.7 & 13.7398 & -2.03975 \tabularnewline
27 & 10.9 & 11.7423 & -0.842343 \tabularnewline
28 & 16.1 & 11.9663 & 4.1337 \tabularnewline
29 & 13.4 & 13.6663 & -0.266316 \tabularnewline
30 & 9.9 & 13.2687 & -3.36874 \tabularnewline
31 & 11.5 & 14.2746 & -2.77459 \tabularnewline
32 & 8.3 & 13.0107 & -4.71072 \tabularnewline
33 & 11.7 & 13.1162 & -1.41622 \tabularnewline
34 & 6.1 & 12.954 & -6.85399 \tabularnewline
35 & 9 & 13.0306 & -4.0306 \tabularnewline
36 & 9.7 & 12.9096 & -3.20961 \tabularnewline
37 & 10.8 & 13.1595 & -2.35945 \tabularnewline
38 & 10.3 & 14.0669 & -3.76688 \tabularnewline
39 & 10.4 & 13.2887 & -2.88869 \tabularnewline
40 & 12.7 & 12.0054 & 0.694623 \tabularnewline
41 & 9.3 & 13.1192 & -3.81923 \tabularnewline
42 & 11.8 & 14.1516 & -2.35161 \tabularnewline
43 & 5.9 & 13.1196 & -7.21958 \tabularnewline
44 & 11.4 & 13.2289 & -1.82887 \tabularnewline
45 & 13 & 12.4028 & 0.597197 \tabularnewline
46 & 10.8 & 13.3172 & -2.5172 \tabularnewline
47 & 12.3 & 12.1577 & 0.142261 \tabularnewline
48 & 11.3 & 14.5027 & -3.20274 \tabularnewline
49 & 11.8 & 11.3747 & 0.425312 \tabularnewline
50 & 7.9 & 11.6636 & -3.76359 \tabularnewline
51 & 12.7 & 11.9359 & 0.76412 \tabularnewline
52 & 12.3 & 12.6865 & -0.38652 \tabularnewline
53 & 11.6 & 13.5077 & -1.90772 \tabularnewline
54 & 6.7 & 11.5203 & -4.82032 \tabularnewline
55 & 10.9 & 13.5889 & -2.68886 \tabularnewline
56 & 12.1 & 11.3424 & 0.757643 \tabularnewline
57 & 13.3 & 12.5223 & 0.777656 \tabularnewline
58 & 10.1 & 13.4976 & -3.39756 \tabularnewline
59 & 5.7 & 13.9388 & -8.23879 \tabularnewline
60 & 14.3 & 11.0307 & 3.26931 \tabularnewline
61 & 8 & 12.8096 & -4.80957 \tabularnewline
62 & 13.3 & 12.1598 & 1.14018 \tabularnewline
63 & 9.3 & 13.4367 & -4.13672 \tabularnewline
64 & 12.5 & 12.6933 & -0.193295 \tabularnewline
65 & 7.6 & 15.1394 & -7.53944 \tabularnewline
66 & 15.9 & 13.0849 & 2.8151 \tabularnewline
67 & 9.2 & 13.1162 & -3.91622 \tabularnewline
68 & 9.1 & 12.9271 & -3.82707 \tabularnewline
69 & 11.1 & 14.4288 & -3.32881 \tabularnewline
70 & 13 & 13.0083 & -0.00829538 \tabularnewline
71 & 14.5 & 13.685 & 0.814966 \tabularnewline
72 & 12.2 & 13.0272 & -0.827151 \tabularnewline
73 & 12.3 & 13.2767 & -0.976729 \tabularnewline
74 & 11.4 & 13.9213 & -2.52133 \tabularnewline
75 & 8.8 & 13.3354 & -4.53535 \tabularnewline
76 & 14.6 & 12.4749 & 2.12512 \tabularnewline
77 & 7.3 & 13.0024 & -5.70245 \tabularnewline
78 & 12.6 & 13.1382 & -0.538191 \tabularnewline
79 & NA & NA & -0.220272 \tabularnewline
80 & 13 & 12.9999 & 5.77033e-05 \tabularnewline
81 & 12.6 & 13.1317 & -0.53168 \tabularnewline
82 & 13.2 & 16.0334 & -2.8334 \tabularnewline
83 & 9.9 & 14.0533 & -4.15335 \tabularnewline
84 & 7.7 & 10.4549 & -2.75487 \tabularnewline
85 & 10.5 & 9.57318 & 0.926821 \tabularnewline
86 & 13.4 & 16.2615 & -2.86148 \tabularnewline
87 & 10.9 & 18.3038 & -7.40381 \tabularnewline
88 & 4.3 & 7.22332 & -2.92332 \tabularnewline
89 & 10.3 & 10.054 & 0.246003 \tabularnewline
90 & 11.8 & 12.9748 & -1.17476 \tabularnewline
91 & 11.2 & 13.7872 & -2.58725 \tabularnewline
92 & 11.4 & 16.8728 & -5.47279 \tabularnewline
93 & 8.6 & 7.34585 & 1.25415 \tabularnewline
94 & 13.2 & 13.0546 & 0.145427 \tabularnewline
95 & 12.6 & 19.1505 & -6.55047 \tabularnewline
96 & 5.6 & 6.40771 & -0.807706 \tabularnewline
97 & 9.9 & 14.4965 & -4.59654 \tabularnewline
98 & 8.8 & 11.9451 & -3.14515 \tabularnewline
99 & 7.7 & 10.6159 & -2.91593 \tabularnewline
100 & 9 & 13.2598 & -4.25982 \tabularnewline
101 & 7.3 & 9.08403 & -1.78403 \tabularnewline
102 & 11.4 & 10.1374 & 1.26256 \tabularnewline
103 & 13.6 & 18.2639 & -4.66386 \tabularnewline
104 & 7.9 & 9.82292 & -1.92292 \tabularnewline
105 & 10.7 & 14.6903 & -3.99028 \tabularnewline
106 & 10.3 & 12.7278 & -2.42777 \tabularnewline
107 & 8.3 & 9.89663 & -1.59663 \tabularnewline
108 & 9.6 & 6.6939 & 2.9061 \tabularnewline
109 & 14.2 & 18.3067 & -4.10674 \tabularnewline
110 & 8.5 & 7.27107 & 1.22893 \tabularnewline
111 & 13.5 & 22.3181 & -8.81813 \tabularnewline
112 & 4.9 & 11.7282 & -6.82817 \tabularnewline
113 & 6.4 & 9.33204 & -2.93204 \tabularnewline
114 & 9.6 & 11.491 & -1.89102 \tabularnewline
115 & 11.6 & 12.5203 & -0.920299 \tabularnewline
116 & 11.1 & 19.0645 & -7.96448 \tabularnewline
117 & 4.35 & 5.46297 & -1.11297 \tabularnewline
118 & 12.7 & 7.93838 & 4.76162 \tabularnewline
119 & 18.1 & 14.6949 & 3.40514 \tabularnewline
120 & 17.85 & 15.5406 & 2.30939 \tabularnewline
121 & 16.6 & 15.3344 & 1.26557 \tabularnewline
122 & 12.6 & 8.52784 & 4.07216 \tabularnewline
123 & 17.1 & 13.1965 & 3.90352 \tabularnewline
124 & 19.1 & 15.4585 & 3.64147 \tabularnewline
125 & 16.1 & 15.8982 & 0.201754 \tabularnewline
126 & 13.35 & 8.8731 & 4.4769 \tabularnewline
127 & 18.4 & 16.6451 & 1.75495 \tabularnewline
128 & 14.7 & 16.8743 & -2.17429 \tabularnewline
129 & 10.6 & 9.32658 & 1.27342 \tabularnewline
130 & 12.6 & 7.90981 & 4.69019 \tabularnewline
131 & 16.2 & 14.5022 & 1.69783 \tabularnewline
132 & 13.6 & 6.935 & 6.665 \tabularnewline
133 & 18.9 & 18.0629 & 0.837149 \tabularnewline
134 & 14.1 & 13.859 & 0.24104 \tabularnewline
135 & 14.5 & 11.8092 & 2.69079 \tabularnewline
136 & 16.15 & 14.2509 & 1.8991 \tabularnewline
137 & 14.75 & 12.7565 & 1.99346 \tabularnewline
138 & 14.8 & 16.2258 & -1.42577 \tabularnewline
139 & 12.45 & 12.0647 & 0.385293 \tabularnewline
140 & 12.65 & 8.97553 & 3.67447 \tabularnewline
141 & 17.35 & 21.9603 & -4.61032 \tabularnewline
142 & 8.6 & 4.13103 & 4.46897 \tabularnewline
143 & 18.4 & 15.5188 & 2.88118 \tabularnewline
144 & 16.1 & 17.7246 & -1.62456 \tabularnewline
145 & 11.6 & 6.80257 & 4.79743 \tabularnewline
146 & 17.75 & 13.7832 & 3.96682 \tabularnewline
147 & 15.25 & 10.8289 & 4.42113 \tabularnewline
148 & 17.65 & 15.1882 & 2.46181 \tabularnewline
149 & 15.6 & 12.8995 & 2.70047 \tabularnewline
150 & 16.35 & 12.6698 & 3.68022 \tabularnewline
151 & 17.65 & 15.7134 & 1.93659 \tabularnewline
152 & 13.6 & 15.1756 & -1.57563 \tabularnewline
153 & 11.7 & 10.9727 & 0.727305 \tabularnewline
154 & 14.35 & 12.6247 & 1.72528 \tabularnewline
155 & 14.75 & 10.5727 & 4.17729 \tabularnewline
156 & 18.25 & 21.4979 & -3.24789 \tabularnewline
157 & 9.9 & 7.6394 & 2.2606 \tabularnewline
158 & 16 & 10.5576 & 5.44239 \tabularnewline
159 & 18.25 & 14.1964 & 4.05359 \tabularnewline
160 & 16.85 & 15.6687 & 1.18126 \tabularnewline
161 & 14.6 & 12.2762 & 2.32385 \tabularnewline
162 & 13.85 & 8.93254 & 4.91746 \tabularnewline
163 & 18.95 & 17.4043 & 1.54566 \tabularnewline
164 & 15.6 & 14.148 & 1.45203 \tabularnewline
165 & 14.85 & 17.3786 & -2.52856 \tabularnewline
166 & 11.75 & 7.41884 & 4.33116 \tabularnewline
167 & 18.45 & 14.9678 & 3.48216 \tabularnewline
168 & 15.9 & 13.5972 & 2.30281 \tabularnewline
169 & 17.1 & 14.938 & 2.16197 \tabularnewline
170 & 16.1 & 11.1654 & 4.93456 \tabularnewline
171 & 19.9 & 21.644 & -1.74403 \tabularnewline
172 & 10.95 & 6.13232 & 4.81768 \tabularnewline
173 & 18.45 & 17.4412 & 1.00884 \tabularnewline
174 & 15.1 & 14.1385 & 0.961538 \tabularnewline
175 & 15 & 17.5493 & -2.54927 \tabularnewline
176 & 11.35 & 8.14391 & 3.20609 \tabularnewline
177 & 15.95 & 11.0136 & 4.93642 \tabularnewline
178 & 18.1 & 16.4855 & 1.61455 \tabularnewline
179 & 14.6 & 12.7865 & 1.81346 \tabularnewline
180 & 15.4 & 13.5865 & 1.81346 \tabularnewline
181 & 15.4 & 9.68971 & 5.71029 \tabularnewline
182 & 17.6 & 16.8789 & 0.721124 \tabularnewline
183 & 13.35 & 6.8223 & 6.5277 \tabularnewline
184 & 19.1 & 15.8983 & 3.20166 \tabularnewline
185 & 15.35 & 21.0333 & -5.68328 \tabularnewline
186 & 7.6 & 7.8831 & -0.283099 \tabularnewline
187 & 13.4 & 12.4804 & 0.919556 \tabularnewline
188 & 13.9 & 8.57963 & 5.32037 \tabularnewline
189 & 19.1 & 16.4661 & 2.63386 \tabularnewline
190 & 15.25 & 15.159 & 0.0909615 \tabularnewline
191 & 12.9 & 10.2481 & 2.65191 \tabularnewline
192 & 16.1 & 12.1981 & 3.90191 \tabularnewline
193 & 17.35 & 17.6481 & -0.298088 \tabularnewline
194 & 13.15 & 14.3996 & -1.24963 \tabularnewline
195 & 12.15 & 10.4215 & 1.72848 \tabularnewline
196 & 12.6 & 14.6362 & -2.03625 \tabularnewline
197 & 10.35 & 7.42956 & 2.92044 \tabularnewline
198 & 15.4 & 18.415 & -3.01499 \tabularnewline
199 & 9.6 & 3.74536 & 5.85464 \tabularnewline
200 & 18.2 & 17.242 & 0.957987 \tabularnewline
201 & 13.6 & 12.0773 & 1.52265 \tabularnewline
202 & 14.85 & 13.777 & 1.07297 \tabularnewline
203 & 14.75 & 13.0242 & 1.72582 \tabularnewline
204 & 14.1 & 11.9663 & 2.13369 \tabularnewline
205 & 14.9 & 11.6744 & 3.22561 \tabularnewline
206 & 16.25 & 9.45853 & 6.79147 \tabularnewline
207 & 19.25 & 17.1555 & 2.09446 \tabularnewline
208 & 13.6 & 13.332 & 0.267959 \tabularnewline
209 & 13.6 & 12.2025 & 1.39749 \tabularnewline
210 & 15.65 & 15.7994 & -0.149357 \tabularnewline
211 & 12.75 & 12.1372 & 0.612753 \tabularnewline
212 & 14.6 & 16.6237 & -2.02367 \tabularnewline
213 & 9.85 & 9.36602 & 0.483979 \tabularnewline
214 & 12.65 & 12.4438 & 0.20624 \tabularnewline
215 & 11.9 & 4.74256 & 7.15744 \tabularnewline
216 & 19.2 & 15.1786 & 4.02144 \tabularnewline
217 & 16.6 & 18.495 & -1.89505 \tabularnewline
218 & 11.2 & 8.67614 & 2.52386 \tabularnewline
219 & 15.25 & 16.4091 & -1.15913 \tabularnewline
220 & 11.9 & 11.2035 & 0.696459 \tabularnewline
221 & 13.2 & 10.3203 & 2.87975 \tabularnewline
222 & 16.35 & 14.6803 & 1.66967 \tabularnewline
223 & 12.4 & 8.80487 & 3.59513 \tabularnewline
224 & 15.85 & 15.1247 & 0.725288 \tabularnewline
225 & 14.35 & 9.92363 & 4.42637 \tabularnewline
226 & 18.15 & 19.2106 & -1.0606 \tabularnewline
227 & 11.15 & 9.03475 & 2.11525 \tabularnewline
228 & 15.65 & 11.0946 & 4.5554 \tabularnewline
229 & 17.75 & 23.3007 & -5.55071 \tabularnewline
230 & 7.65 & 8.33678 & -0.686779 \tabularnewline
231 & 12.35 & 8.98513 & 3.36487 \tabularnewline
232 & 15.6 & 11.605 & 3.99497 \tabularnewline
233 & 19.3 & 17.4914 & 1.80857 \tabularnewline
234 & 15.2 & 12.0096 & 3.19035 \tabularnewline
235 & 17.1 & 14.6473 & 2.4527 \tabularnewline
236 & 15.6 & 10.3677 & 5.23231 \tabularnewline
237 & 18.4 & 13.3982 & 5.00184 \tabularnewline
238 & 19.05 & 13.1667 & 5.8833 \tabularnewline
239 & 18.55 & 13.7376 & 4.81238 \tabularnewline
240 & 19.1 & 18.6611 & 0.438872 \tabularnewline
241 & 13.1 & 13.3353 & -0.235254 \tabularnewline
242 & 12.85 & 14.6816 & -1.83164 \tabularnewline
243 & 9.5 & 17.9935 & -8.49351 \tabularnewline
244 & 4.5 & 5.2762 & -0.776198 \tabularnewline
245 & 11.85 & 10.461 & 1.38897 \tabularnewline
246 & 13.6 & 13.1832 & 0.416817 \tabularnewline
247 & 11.7 & 11.1679 & 0.532063 \tabularnewline
248 & 12.4 & 13.4765 & -1.07649 \tabularnewline
249 & 13.35 & 14.0924 & -0.74235 \tabularnewline
250 & 11.4 & 8.64536 & 2.75464 \tabularnewline
251 & 14.9 & 9.96544 & 4.93456 \tabularnewline
252 & 19.9 & 15.7276 & 4.1724 \tabularnewline
253 & 17.75 & 18.7504 & -1.00035 \tabularnewline
254 & 11.2 & 8.52404 & 2.67596 \tabularnewline
255 & 14.6 & 10.4485 & 4.15148 \tabularnewline
256 & 17.6 & 16.3321 & 1.26791 \tabularnewline
257 & 14.05 & 11.2903 & 2.75968 \tabularnewline
258 & 16.1 & 15.0216 & 1.07844 \tabularnewline
259 & 13.35 & 13.4163 & -0.0662818 \tabularnewline
260 & 11.85 & 14.0072 & -2.15722 \tabularnewline
261 & 11.95 & 10.238 & 1.71199 \tabularnewline
262 & 14.75 & 12.0423 & 2.70773 \tabularnewline
263 & 15.15 & 15.2617 & -0.11166 \tabularnewline
264 & 13.2 & 10.1112 & 3.08883 \tabularnewline
265 & 16.85 & 21.6002 & -4.75021 \tabularnewline
266 & 7.85 & 14.5019 & -6.65185 \tabularnewline
267 & 7.7 & 7.98077 & -0.280772 \tabularnewline
268 & 12.6 & 15.4604 & -2.86038 \tabularnewline
269 & 7.85 & 9.59403 & -1.74403 \tabularnewline
270 & 10.95 & 12.4096 & -1.45963 \tabularnewline
271 & 12.35 & 13.8091 & -1.45913 \tabularnewline
272 & 9.95 & 7.19536 & 2.75464 \tabularnewline
273 & 14.9 & 12.4801 & 2.4199 \tabularnewline
274 & 16.65 & 16.867 & -0.217014 \tabularnewline
275 & 13.4 & 13.0176 & 0.382371 \tabularnewline
276 & 13.95 & 10.0563 & 3.89367 \tabularnewline
277 & 15.7 & 11.9532 & 3.74675 \tabularnewline
278 & 16.85 & 19.1606 & -2.31064 \tabularnewline
279 & 10.95 & 8.34574 & 2.60426 \tabularnewline
280 & 15.35 & 16.3062 & -0.956236 \tabularnewline
281 & 12.2 & 9.37727 & 2.82273 \tabularnewline
282 & 15.1 & 11.0713 & 4.0287 \tabularnewline
283 & 17.75 & 14.4919 & 3.25808 \tabularnewline
284 & 15.2 & 14.7533 & 0.446726 \tabularnewline
285 & 14.6 & 11.3414 & 3.25857 \tabularnewline
286 & 16.65 & 20.5135 & -3.86352 \tabularnewline
287 & 8.1 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264924&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]12.9[/C][C]13.8323[/C][C]-0.932343[/C][/ROW]
[ROW][C]2[/C][C]7.4[/C][C]14.3375[/C][C]-6.93751[/C][/ROW]
[ROW][C]3[/C][C]12.2[/C][C]12.354[/C][C]-0.153995[/C][/ROW]
[ROW][C]4[/C][C]12.8[/C][C]14.0688[/C][C]-1.26882[/C][/ROW]
[ROW][C]5[/C][C]7.4[/C][C]11.752[/C][C]-4.352[/C][/ROW]
[ROW][C]6[/C][C]6.7[/C][C]11.8639[/C][C]-5.16395[/C][/ROW]
[ROW][C]7[/C][C]12.6[/C][C]11.3502[/C][C]1.24985[/C][/ROW]
[ROW][C]8[/C][C]14.8[/C][C]14.8058[/C][C]-0.00577569[/C][/ROW]
[ROW][C]9[/C][C]13.3[/C][C]13.2246[/C][C]0.0753537[/C][/ROW]
[ROW][C]10[/C][C]11.1[/C][C]11.9722[/C][C]-0.87223[/C][/ROW]
[ROW][C]11[/C][C]8.2[/C][C]12.3855[/C][C]-4.18554[/C][/ROW]
[ROW][C]12[/C][C]11.4[/C][C]12.7086[/C][C]-1.30858[/C][/ROW]
[ROW][C]13[/C][C]6.4[/C][C]12.2216[/C][C]-5.82164[/C][/ROW]
[ROW][C]14[/C][C]10.6[/C][C]12.3568[/C][C]-1.75675[/C][/ROW]
[ROW][C]15[/C][C]12[/C][C]13.521[/C][C]-1.52103[/C][/ROW]
[ROW][C]16[/C][C]6.3[/C][C]13.4467[/C][C]-7.14674[/C][/ROW]
[ROW][C]17[/C][C]11.3[/C][C]13.0807[/C][C]-1.78067[/C][/ROW]
[ROW][C]18[/C][C]11.9[/C][C]12.7055[/C][C]-0.805482[/C][/ROW]
[ROW][C]19[/C][C]9.3[/C][C]13.142[/C][C]-3.84196[/C][/ROW]
[ROW][C]20[/C][C]9.6[/C][C]11.3017[/C][C]-1.70174[/C][/ROW]
[ROW][C]21[/C][C]10[/C][C]12.8475[/C][C]-2.84754[/C][/ROW]
[ROW][C]22[/C][C]6.4[/C][C]12.489[/C][C]-6.08901[/C][/ROW]
[ROW][C]23[/C][C]13.8[/C][C]11.9077[/C][C]1.8923[/C][/ROW]
[ROW][C]24[/C][C]10.8[/C][C]13.008[/C][C]-2.20805[/C][/ROW]
[ROW][C]25[/C][C]13.8[/C][C]12.2712[/C][C]1.52879[/C][/ROW]
[ROW][C]26[/C][C]11.7[/C][C]13.7398[/C][C]-2.03975[/C][/ROW]
[ROW][C]27[/C][C]10.9[/C][C]11.7423[/C][C]-0.842343[/C][/ROW]
[ROW][C]28[/C][C]16.1[/C][C]11.9663[/C][C]4.1337[/C][/ROW]
[ROW][C]29[/C][C]13.4[/C][C]13.6663[/C][C]-0.266316[/C][/ROW]
[ROW][C]30[/C][C]9.9[/C][C]13.2687[/C][C]-3.36874[/C][/ROW]
[ROW][C]31[/C][C]11.5[/C][C]14.2746[/C][C]-2.77459[/C][/ROW]
[ROW][C]32[/C][C]8.3[/C][C]13.0107[/C][C]-4.71072[/C][/ROW]
[ROW][C]33[/C][C]11.7[/C][C]13.1162[/C][C]-1.41622[/C][/ROW]
[ROW][C]34[/C][C]6.1[/C][C]12.954[/C][C]-6.85399[/C][/ROW]
[ROW][C]35[/C][C]9[/C][C]13.0306[/C][C]-4.0306[/C][/ROW]
[ROW][C]36[/C][C]9.7[/C][C]12.9096[/C][C]-3.20961[/C][/ROW]
[ROW][C]37[/C][C]10.8[/C][C]13.1595[/C][C]-2.35945[/C][/ROW]
[ROW][C]38[/C][C]10.3[/C][C]14.0669[/C][C]-3.76688[/C][/ROW]
[ROW][C]39[/C][C]10.4[/C][C]13.2887[/C][C]-2.88869[/C][/ROW]
[ROW][C]40[/C][C]12.7[/C][C]12.0054[/C][C]0.694623[/C][/ROW]
[ROW][C]41[/C][C]9.3[/C][C]13.1192[/C][C]-3.81923[/C][/ROW]
[ROW][C]42[/C][C]11.8[/C][C]14.1516[/C][C]-2.35161[/C][/ROW]
[ROW][C]43[/C][C]5.9[/C][C]13.1196[/C][C]-7.21958[/C][/ROW]
[ROW][C]44[/C][C]11.4[/C][C]13.2289[/C][C]-1.82887[/C][/ROW]
[ROW][C]45[/C][C]13[/C][C]12.4028[/C][C]0.597197[/C][/ROW]
[ROW][C]46[/C][C]10.8[/C][C]13.3172[/C][C]-2.5172[/C][/ROW]
[ROW][C]47[/C][C]12.3[/C][C]12.1577[/C][C]0.142261[/C][/ROW]
[ROW][C]48[/C][C]11.3[/C][C]14.5027[/C][C]-3.20274[/C][/ROW]
[ROW][C]49[/C][C]11.8[/C][C]11.3747[/C][C]0.425312[/C][/ROW]
[ROW][C]50[/C][C]7.9[/C][C]11.6636[/C][C]-3.76359[/C][/ROW]
[ROW][C]51[/C][C]12.7[/C][C]11.9359[/C][C]0.76412[/C][/ROW]
[ROW][C]52[/C][C]12.3[/C][C]12.6865[/C][C]-0.38652[/C][/ROW]
[ROW][C]53[/C][C]11.6[/C][C]13.5077[/C][C]-1.90772[/C][/ROW]
[ROW][C]54[/C][C]6.7[/C][C]11.5203[/C][C]-4.82032[/C][/ROW]
[ROW][C]55[/C][C]10.9[/C][C]13.5889[/C][C]-2.68886[/C][/ROW]
[ROW][C]56[/C][C]12.1[/C][C]11.3424[/C][C]0.757643[/C][/ROW]
[ROW][C]57[/C][C]13.3[/C][C]12.5223[/C][C]0.777656[/C][/ROW]
[ROW][C]58[/C][C]10.1[/C][C]13.4976[/C][C]-3.39756[/C][/ROW]
[ROW][C]59[/C][C]5.7[/C][C]13.9388[/C][C]-8.23879[/C][/ROW]
[ROW][C]60[/C][C]14.3[/C][C]11.0307[/C][C]3.26931[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]12.8096[/C][C]-4.80957[/C][/ROW]
[ROW][C]62[/C][C]13.3[/C][C]12.1598[/C][C]1.14018[/C][/ROW]
[ROW][C]63[/C][C]9.3[/C][C]13.4367[/C][C]-4.13672[/C][/ROW]
[ROW][C]64[/C][C]12.5[/C][C]12.6933[/C][C]-0.193295[/C][/ROW]
[ROW][C]65[/C][C]7.6[/C][C]15.1394[/C][C]-7.53944[/C][/ROW]
[ROW][C]66[/C][C]15.9[/C][C]13.0849[/C][C]2.8151[/C][/ROW]
[ROW][C]67[/C][C]9.2[/C][C]13.1162[/C][C]-3.91622[/C][/ROW]
[ROW][C]68[/C][C]9.1[/C][C]12.9271[/C][C]-3.82707[/C][/ROW]
[ROW][C]69[/C][C]11.1[/C][C]14.4288[/C][C]-3.32881[/C][/ROW]
[ROW][C]70[/C][C]13[/C][C]13.0083[/C][C]-0.00829538[/C][/ROW]
[ROW][C]71[/C][C]14.5[/C][C]13.685[/C][C]0.814966[/C][/ROW]
[ROW][C]72[/C][C]12.2[/C][C]13.0272[/C][C]-0.827151[/C][/ROW]
[ROW][C]73[/C][C]12.3[/C][C]13.2767[/C][C]-0.976729[/C][/ROW]
[ROW][C]74[/C][C]11.4[/C][C]13.9213[/C][C]-2.52133[/C][/ROW]
[ROW][C]75[/C][C]8.8[/C][C]13.3354[/C][C]-4.53535[/C][/ROW]
[ROW][C]76[/C][C]14.6[/C][C]12.4749[/C][C]2.12512[/C][/ROW]
[ROW][C]77[/C][C]7.3[/C][C]13.0024[/C][C]-5.70245[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]13.1382[/C][C]-0.538191[/C][/ROW]
[ROW][C]79[/C][C]NA[/C][C]NA[/C][C]-0.220272[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]12.9999[/C][C]5.77033e-05[/C][/ROW]
[ROW][C]81[/C][C]12.6[/C][C]13.1317[/C][C]-0.53168[/C][/ROW]
[ROW][C]82[/C][C]13.2[/C][C]16.0334[/C][C]-2.8334[/C][/ROW]
[ROW][C]83[/C][C]9.9[/C][C]14.0533[/C][C]-4.15335[/C][/ROW]
[ROW][C]84[/C][C]7.7[/C][C]10.4549[/C][C]-2.75487[/C][/ROW]
[ROW][C]85[/C][C]10.5[/C][C]9.57318[/C][C]0.926821[/C][/ROW]
[ROW][C]86[/C][C]13.4[/C][C]16.2615[/C][C]-2.86148[/C][/ROW]
[ROW][C]87[/C][C]10.9[/C][C]18.3038[/C][C]-7.40381[/C][/ROW]
[ROW][C]88[/C][C]4.3[/C][C]7.22332[/C][C]-2.92332[/C][/ROW]
[ROW][C]89[/C][C]10.3[/C][C]10.054[/C][C]0.246003[/C][/ROW]
[ROW][C]90[/C][C]11.8[/C][C]12.9748[/C][C]-1.17476[/C][/ROW]
[ROW][C]91[/C][C]11.2[/C][C]13.7872[/C][C]-2.58725[/C][/ROW]
[ROW][C]92[/C][C]11.4[/C][C]16.8728[/C][C]-5.47279[/C][/ROW]
[ROW][C]93[/C][C]8.6[/C][C]7.34585[/C][C]1.25415[/C][/ROW]
[ROW][C]94[/C][C]13.2[/C][C]13.0546[/C][C]0.145427[/C][/ROW]
[ROW][C]95[/C][C]12.6[/C][C]19.1505[/C][C]-6.55047[/C][/ROW]
[ROW][C]96[/C][C]5.6[/C][C]6.40771[/C][C]-0.807706[/C][/ROW]
[ROW][C]97[/C][C]9.9[/C][C]14.4965[/C][C]-4.59654[/C][/ROW]
[ROW][C]98[/C][C]8.8[/C][C]11.9451[/C][C]-3.14515[/C][/ROW]
[ROW][C]99[/C][C]7.7[/C][C]10.6159[/C][C]-2.91593[/C][/ROW]
[ROW][C]100[/C][C]9[/C][C]13.2598[/C][C]-4.25982[/C][/ROW]
[ROW][C]101[/C][C]7.3[/C][C]9.08403[/C][C]-1.78403[/C][/ROW]
[ROW][C]102[/C][C]11.4[/C][C]10.1374[/C][C]1.26256[/C][/ROW]
[ROW][C]103[/C][C]13.6[/C][C]18.2639[/C][C]-4.66386[/C][/ROW]
[ROW][C]104[/C][C]7.9[/C][C]9.82292[/C][C]-1.92292[/C][/ROW]
[ROW][C]105[/C][C]10.7[/C][C]14.6903[/C][C]-3.99028[/C][/ROW]
[ROW][C]106[/C][C]10.3[/C][C]12.7278[/C][C]-2.42777[/C][/ROW]
[ROW][C]107[/C][C]8.3[/C][C]9.89663[/C][C]-1.59663[/C][/ROW]
[ROW][C]108[/C][C]9.6[/C][C]6.6939[/C][C]2.9061[/C][/ROW]
[ROW][C]109[/C][C]14.2[/C][C]18.3067[/C][C]-4.10674[/C][/ROW]
[ROW][C]110[/C][C]8.5[/C][C]7.27107[/C][C]1.22893[/C][/ROW]
[ROW][C]111[/C][C]13.5[/C][C]22.3181[/C][C]-8.81813[/C][/ROW]
[ROW][C]112[/C][C]4.9[/C][C]11.7282[/C][C]-6.82817[/C][/ROW]
[ROW][C]113[/C][C]6.4[/C][C]9.33204[/C][C]-2.93204[/C][/ROW]
[ROW][C]114[/C][C]9.6[/C][C]11.491[/C][C]-1.89102[/C][/ROW]
[ROW][C]115[/C][C]11.6[/C][C]12.5203[/C][C]-0.920299[/C][/ROW]
[ROW][C]116[/C][C]11.1[/C][C]19.0645[/C][C]-7.96448[/C][/ROW]
[ROW][C]117[/C][C]4.35[/C][C]5.46297[/C][C]-1.11297[/C][/ROW]
[ROW][C]118[/C][C]12.7[/C][C]7.93838[/C][C]4.76162[/C][/ROW]
[ROW][C]119[/C][C]18.1[/C][C]14.6949[/C][C]3.40514[/C][/ROW]
[ROW][C]120[/C][C]17.85[/C][C]15.5406[/C][C]2.30939[/C][/ROW]
[ROW][C]121[/C][C]16.6[/C][C]15.3344[/C][C]1.26557[/C][/ROW]
[ROW][C]122[/C][C]12.6[/C][C]8.52784[/C][C]4.07216[/C][/ROW]
[ROW][C]123[/C][C]17.1[/C][C]13.1965[/C][C]3.90352[/C][/ROW]
[ROW][C]124[/C][C]19.1[/C][C]15.4585[/C][C]3.64147[/C][/ROW]
[ROW][C]125[/C][C]16.1[/C][C]15.8982[/C][C]0.201754[/C][/ROW]
[ROW][C]126[/C][C]13.35[/C][C]8.8731[/C][C]4.4769[/C][/ROW]
[ROW][C]127[/C][C]18.4[/C][C]16.6451[/C][C]1.75495[/C][/ROW]
[ROW][C]128[/C][C]14.7[/C][C]16.8743[/C][C]-2.17429[/C][/ROW]
[ROW][C]129[/C][C]10.6[/C][C]9.32658[/C][C]1.27342[/C][/ROW]
[ROW][C]130[/C][C]12.6[/C][C]7.90981[/C][C]4.69019[/C][/ROW]
[ROW][C]131[/C][C]16.2[/C][C]14.5022[/C][C]1.69783[/C][/ROW]
[ROW][C]132[/C][C]13.6[/C][C]6.935[/C][C]6.665[/C][/ROW]
[ROW][C]133[/C][C]18.9[/C][C]18.0629[/C][C]0.837149[/C][/ROW]
[ROW][C]134[/C][C]14.1[/C][C]13.859[/C][C]0.24104[/C][/ROW]
[ROW][C]135[/C][C]14.5[/C][C]11.8092[/C][C]2.69079[/C][/ROW]
[ROW][C]136[/C][C]16.15[/C][C]14.2509[/C][C]1.8991[/C][/ROW]
[ROW][C]137[/C][C]14.75[/C][C]12.7565[/C][C]1.99346[/C][/ROW]
[ROW][C]138[/C][C]14.8[/C][C]16.2258[/C][C]-1.42577[/C][/ROW]
[ROW][C]139[/C][C]12.45[/C][C]12.0647[/C][C]0.385293[/C][/ROW]
[ROW][C]140[/C][C]12.65[/C][C]8.97553[/C][C]3.67447[/C][/ROW]
[ROW][C]141[/C][C]17.35[/C][C]21.9603[/C][C]-4.61032[/C][/ROW]
[ROW][C]142[/C][C]8.6[/C][C]4.13103[/C][C]4.46897[/C][/ROW]
[ROW][C]143[/C][C]18.4[/C][C]15.5188[/C][C]2.88118[/C][/ROW]
[ROW][C]144[/C][C]16.1[/C][C]17.7246[/C][C]-1.62456[/C][/ROW]
[ROW][C]145[/C][C]11.6[/C][C]6.80257[/C][C]4.79743[/C][/ROW]
[ROW][C]146[/C][C]17.75[/C][C]13.7832[/C][C]3.96682[/C][/ROW]
[ROW][C]147[/C][C]15.25[/C][C]10.8289[/C][C]4.42113[/C][/ROW]
[ROW][C]148[/C][C]17.65[/C][C]15.1882[/C][C]2.46181[/C][/ROW]
[ROW][C]149[/C][C]15.6[/C][C]12.8995[/C][C]2.70047[/C][/ROW]
[ROW][C]150[/C][C]16.35[/C][C]12.6698[/C][C]3.68022[/C][/ROW]
[ROW][C]151[/C][C]17.65[/C][C]15.7134[/C][C]1.93659[/C][/ROW]
[ROW][C]152[/C][C]13.6[/C][C]15.1756[/C][C]-1.57563[/C][/ROW]
[ROW][C]153[/C][C]11.7[/C][C]10.9727[/C][C]0.727305[/C][/ROW]
[ROW][C]154[/C][C]14.35[/C][C]12.6247[/C][C]1.72528[/C][/ROW]
[ROW][C]155[/C][C]14.75[/C][C]10.5727[/C][C]4.17729[/C][/ROW]
[ROW][C]156[/C][C]18.25[/C][C]21.4979[/C][C]-3.24789[/C][/ROW]
[ROW][C]157[/C][C]9.9[/C][C]7.6394[/C][C]2.2606[/C][/ROW]
[ROW][C]158[/C][C]16[/C][C]10.5576[/C][C]5.44239[/C][/ROW]
[ROW][C]159[/C][C]18.25[/C][C]14.1964[/C][C]4.05359[/C][/ROW]
[ROW][C]160[/C][C]16.85[/C][C]15.6687[/C][C]1.18126[/C][/ROW]
[ROW][C]161[/C][C]14.6[/C][C]12.2762[/C][C]2.32385[/C][/ROW]
[ROW][C]162[/C][C]13.85[/C][C]8.93254[/C][C]4.91746[/C][/ROW]
[ROW][C]163[/C][C]18.95[/C][C]17.4043[/C][C]1.54566[/C][/ROW]
[ROW][C]164[/C][C]15.6[/C][C]14.148[/C][C]1.45203[/C][/ROW]
[ROW][C]165[/C][C]14.85[/C][C]17.3786[/C][C]-2.52856[/C][/ROW]
[ROW][C]166[/C][C]11.75[/C][C]7.41884[/C][C]4.33116[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]14.9678[/C][C]3.48216[/C][/ROW]
[ROW][C]168[/C][C]15.9[/C][C]13.5972[/C][C]2.30281[/C][/ROW]
[ROW][C]169[/C][C]17.1[/C][C]14.938[/C][C]2.16197[/C][/ROW]
[ROW][C]170[/C][C]16.1[/C][C]11.1654[/C][C]4.93456[/C][/ROW]
[ROW][C]171[/C][C]19.9[/C][C]21.644[/C][C]-1.74403[/C][/ROW]
[ROW][C]172[/C][C]10.95[/C][C]6.13232[/C][C]4.81768[/C][/ROW]
[ROW][C]173[/C][C]18.45[/C][C]17.4412[/C][C]1.00884[/C][/ROW]
[ROW][C]174[/C][C]15.1[/C][C]14.1385[/C][C]0.961538[/C][/ROW]
[ROW][C]175[/C][C]15[/C][C]17.5493[/C][C]-2.54927[/C][/ROW]
[ROW][C]176[/C][C]11.35[/C][C]8.14391[/C][C]3.20609[/C][/ROW]
[ROW][C]177[/C][C]15.95[/C][C]11.0136[/C][C]4.93642[/C][/ROW]
[ROW][C]178[/C][C]18.1[/C][C]16.4855[/C][C]1.61455[/C][/ROW]
[ROW][C]179[/C][C]14.6[/C][C]12.7865[/C][C]1.81346[/C][/ROW]
[ROW][C]180[/C][C]15.4[/C][C]13.5865[/C][C]1.81346[/C][/ROW]
[ROW][C]181[/C][C]15.4[/C][C]9.68971[/C][C]5.71029[/C][/ROW]
[ROW][C]182[/C][C]17.6[/C][C]16.8789[/C][C]0.721124[/C][/ROW]
[ROW][C]183[/C][C]13.35[/C][C]6.8223[/C][C]6.5277[/C][/ROW]
[ROW][C]184[/C][C]19.1[/C][C]15.8983[/C][C]3.20166[/C][/ROW]
[ROW][C]185[/C][C]15.35[/C][C]21.0333[/C][C]-5.68328[/C][/ROW]
[ROW][C]186[/C][C]7.6[/C][C]7.8831[/C][C]-0.283099[/C][/ROW]
[ROW][C]187[/C][C]13.4[/C][C]12.4804[/C][C]0.919556[/C][/ROW]
[ROW][C]188[/C][C]13.9[/C][C]8.57963[/C][C]5.32037[/C][/ROW]
[ROW][C]189[/C][C]19.1[/C][C]16.4661[/C][C]2.63386[/C][/ROW]
[ROW][C]190[/C][C]15.25[/C][C]15.159[/C][C]0.0909615[/C][/ROW]
[ROW][C]191[/C][C]12.9[/C][C]10.2481[/C][C]2.65191[/C][/ROW]
[ROW][C]192[/C][C]16.1[/C][C]12.1981[/C][C]3.90191[/C][/ROW]
[ROW][C]193[/C][C]17.35[/C][C]17.6481[/C][C]-0.298088[/C][/ROW]
[ROW][C]194[/C][C]13.15[/C][C]14.3996[/C][C]-1.24963[/C][/ROW]
[ROW][C]195[/C][C]12.15[/C][C]10.4215[/C][C]1.72848[/C][/ROW]
[ROW][C]196[/C][C]12.6[/C][C]14.6362[/C][C]-2.03625[/C][/ROW]
[ROW][C]197[/C][C]10.35[/C][C]7.42956[/C][C]2.92044[/C][/ROW]
[ROW][C]198[/C][C]15.4[/C][C]18.415[/C][C]-3.01499[/C][/ROW]
[ROW][C]199[/C][C]9.6[/C][C]3.74536[/C][C]5.85464[/C][/ROW]
[ROW][C]200[/C][C]18.2[/C][C]17.242[/C][C]0.957987[/C][/ROW]
[ROW][C]201[/C][C]13.6[/C][C]12.0773[/C][C]1.52265[/C][/ROW]
[ROW][C]202[/C][C]14.85[/C][C]13.777[/C][C]1.07297[/C][/ROW]
[ROW][C]203[/C][C]14.75[/C][C]13.0242[/C][C]1.72582[/C][/ROW]
[ROW][C]204[/C][C]14.1[/C][C]11.9663[/C][C]2.13369[/C][/ROW]
[ROW][C]205[/C][C]14.9[/C][C]11.6744[/C][C]3.22561[/C][/ROW]
[ROW][C]206[/C][C]16.25[/C][C]9.45853[/C][C]6.79147[/C][/ROW]
[ROW][C]207[/C][C]19.25[/C][C]17.1555[/C][C]2.09446[/C][/ROW]
[ROW][C]208[/C][C]13.6[/C][C]13.332[/C][C]0.267959[/C][/ROW]
[ROW][C]209[/C][C]13.6[/C][C]12.2025[/C][C]1.39749[/C][/ROW]
[ROW][C]210[/C][C]15.65[/C][C]15.7994[/C][C]-0.149357[/C][/ROW]
[ROW][C]211[/C][C]12.75[/C][C]12.1372[/C][C]0.612753[/C][/ROW]
[ROW][C]212[/C][C]14.6[/C][C]16.6237[/C][C]-2.02367[/C][/ROW]
[ROW][C]213[/C][C]9.85[/C][C]9.36602[/C][C]0.483979[/C][/ROW]
[ROW][C]214[/C][C]12.65[/C][C]12.4438[/C][C]0.20624[/C][/ROW]
[ROW][C]215[/C][C]11.9[/C][C]4.74256[/C][C]7.15744[/C][/ROW]
[ROW][C]216[/C][C]19.2[/C][C]15.1786[/C][C]4.02144[/C][/ROW]
[ROW][C]217[/C][C]16.6[/C][C]18.495[/C][C]-1.89505[/C][/ROW]
[ROW][C]218[/C][C]11.2[/C][C]8.67614[/C][C]2.52386[/C][/ROW]
[ROW][C]219[/C][C]15.25[/C][C]16.4091[/C][C]-1.15913[/C][/ROW]
[ROW][C]220[/C][C]11.9[/C][C]11.2035[/C][C]0.696459[/C][/ROW]
[ROW][C]221[/C][C]13.2[/C][C]10.3203[/C][C]2.87975[/C][/ROW]
[ROW][C]222[/C][C]16.35[/C][C]14.6803[/C][C]1.66967[/C][/ROW]
[ROW][C]223[/C][C]12.4[/C][C]8.80487[/C][C]3.59513[/C][/ROW]
[ROW][C]224[/C][C]15.85[/C][C]15.1247[/C][C]0.725288[/C][/ROW]
[ROW][C]225[/C][C]14.35[/C][C]9.92363[/C][C]4.42637[/C][/ROW]
[ROW][C]226[/C][C]18.15[/C][C]19.2106[/C][C]-1.0606[/C][/ROW]
[ROW][C]227[/C][C]11.15[/C][C]9.03475[/C][C]2.11525[/C][/ROW]
[ROW][C]228[/C][C]15.65[/C][C]11.0946[/C][C]4.5554[/C][/ROW]
[ROW][C]229[/C][C]17.75[/C][C]23.3007[/C][C]-5.55071[/C][/ROW]
[ROW][C]230[/C][C]7.65[/C][C]8.33678[/C][C]-0.686779[/C][/ROW]
[ROW][C]231[/C][C]12.35[/C][C]8.98513[/C][C]3.36487[/C][/ROW]
[ROW][C]232[/C][C]15.6[/C][C]11.605[/C][C]3.99497[/C][/ROW]
[ROW][C]233[/C][C]19.3[/C][C]17.4914[/C][C]1.80857[/C][/ROW]
[ROW][C]234[/C][C]15.2[/C][C]12.0096[/C][C]3.19035[/C][/ROW]
[ROW][C]235[/C][C]17.1[/C][C]14.6473[/C][C]2.4527[/C][/ROW]
[ROW][C]236[/C][C]15.6[/C][C]10.3677[/C][C]5.23231[/C][/ROW]
[ROW][C]237[/C][C]18.4[/C][C]13.3982[/C][C]5.00184[/C][/ROW]
[ROW][C]238[/C][C]19.05[/C][C]13.1667[/C][C]5.8833[/C][/ROW]
[ROW][C]239[/C][C]18.55[/C][C]13.7376[/C][C]4.81238[/C][/ROW]
[ROW][C]240[/C][C]19.1[/C][C]18.6611[/C][C]0.438872[/C][/ROW]
[ROW][C]241[/C][C]13.1[/C][C]13.3353[/C][C]-0.235254[/C][/ROW]
[ROW][C]242[/C][C]12.85[/C][C]14.6816[/C][C]-1.83164[/C][/ROW]
[ROW][C]243[/C][C]9.5[/C][C]17.9935[/C][C]-8.49351[/C][/ROW]
[ROW][C]244[/C][C]4.5[/C][C]5.2762[/C][C]-0.776198[/C][/ROW]
[ROW][C]245[/C][C]11.85[/C][C]10.461[/C][C]1.38897[/C][/ROW]
[ROW][C]246[/C][C]13.6[/C][C]13.1832[/C][C]0.416817[/C][/ROW]
[ROW][C]247[/C][C]11.7[/C][C]11.1679[/C][C]0.532063[/C][/ROW]
[ROW][C]248[/C][C]12.4[/C][C]13.4765[/C][C]-1.07649[/C][/ROW]
[ROW][C]249[/C][C]13.35[/C][C]14.0924[/C][C]-0.74235[/C][/ROW]
[ROW][C]250[/C][C]11.4[/C][C]8.64536[/C][C]2.75464[/C][/ROW]
[ROW][C]251[/C][C]14.9[/C][C]9.96544[/C][C]4.93456[/C][/ROW]
[ROW][C]252[/C][C]19.9[/C][C]15.7276[/C][C]4.1724[/C][/ROW]
[ROW][C]253[/C][C]17.75[/C][C]18.7504[/C][C]-1.00035[/C][/ROW]
[ROW][C]254[/C][C]11.2[/C][C]8.52404[/C][C]2.67596[/C][/ROW]
[ROW][C]255[/C][C]14.6[/C][C]10.4485[/C][C]4.15148[/C][/ROW]
[ROW][C]256[/C][C]17.6[/C][C]16.3321[/C][C]1.26791[/C][/ROW]
[ROW][C]257[/C][C]14.05[/C][C]11.2903[/C][C]2.75968[/C][/ROW]
[ROW][C]258[/C][C]16.1[/C][C]15.0216[/C][C]1.07844[/C][/ROW]
[ROW][C]259[/C][C]13.35[/C][C]13.4163[/C][C]-0.0662818[/C][/ROW]
[ROW][C]260[/C][C]11.85[/C][C]14.0072[/C][C]-2.15722[/C][/ROW]
[ROW][C]261[/C][C]11.95[/C][C]10.238[/C][C]1.71199[/C][/ROW]
[ROW][C]262[/C][C]14.75[/C][C]12.0423[/C][C]2.70773[/C][/ROW]
[ROW][C]263[/C][C]15.15[/C][C]15.2617[/C][C]-0.11166[/C][/ROW]
[ROW][C]264[/C][C]13.2[/C][C]10.1112[/C][C]3.08883[/C][/ROW]
[ROW][C]265[/C][C]16.85[/C][C]21.6002[/C][C]-4.75021[/C][/ROW]
[ROW][C]266[/C][C]7.85[/C][C]14.5019[/C][C]-6.65185[/C][/ROW]
[ROW][C]267[/C][C]7.7[/C][C]7.98077[/C][C]-0.280772[/C][/ROW]
[ROW][C]268[/C][C]12.6[/C][C]15.4604[/C][C]-2.86038[/C][/ROW]
[ROW][C]269[/C][C]7.85[/C][C]9.59403[/C][C]-1.74403[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]12.4096[/C][C]-1.45963[/C][/ROW]
[ROW][C]271[/C][C]12.35[/C][C]13.8091[/C][C]-1.45913[/C][/ROW]
[ROW][C]272[/C][C]9.95[/C][C]7.19536[/C][C]2.75464[/C][/ROW]
[ROW][C]273[/C][C]14.9[/C][C]12.4801[/C][C]2.4199[/C][/ROW]
[ROW][C]274[/C][C]16.65[/C][C]16.867[/C][C]-0.217014[/C][/ROW]
[ROW][C]275[/C][C]13.4[/C][C]13.0176[/C][C]0.382371[/C][/ROW]
[ROW][C]276[/C][C]13.95[/C][C]10.0563[/C][C]3.89367[/C][/ROW]
[ROW][C]277[/C][C]15.7[/C][C]11.9532[/C][C]3.74675[/C][/ROW]
[ROW][C]278[/C][C]16.85[/C][C]19.1606[/C][C]-2.31064[/C][/ROW]
[ROW][C]279[/C][C]10.95[/C][C]8.34574[/C][C]2.60426[/C][/ROW]
[ROW][C]280[/C][C]15.35[/C][C]16.3062[/C][C]-0.956236[/C][/ROW]
[ROW][C]281[/C][C]12.2[/C][C]9.37727[/C][C]2.82273[/C][/ROW]
[ROW][C]282[/C][C]15.1[/C][C]11.0713[/C][C]4.0287[/C][/ROW]
[ROW][C]283[/C][C]17.75[/C][C]14.4919[/C][C]3.25808[/C][/ROW]
[ROW][C]284[/C][C]15.2[/C][C]14.7533[/C][C]0.446726[/C][/ROW]
[ROW][C]285[/C][C]14.6[/C][C]11.3414[/C][C]3.25857[/C][/ROW]
[ROW][C]286[/C][C]16.65[/C][C]20.5135[/C][C]-3.86352[/C][/ROW]
[ROW][C]287[/C][C]8.1[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264924&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264924&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	12.9	13.8323	-0.932343
2	7.4	14.3375	-6.93751
3	12.2	12.354	-0.153995
4	12.8	14.0688	-1.26882
5	7.4	11.752	-4.352
6	6.7	11.8639	-5.16395
7	12.6	11.3502	1.24985
8	14.8	14.8058	-0.00577569
9	13.3	13.2246	0.0753537
10	11.1	11.9722	-0.87223
11	8.2	12.3855	-4.18554
12	11.4	12.7086	-1.30858
13	6.4	12.2216	-5.82164
14	10.6	12.3568	-1.75675
15	12	13.521	-1.52103
16	6.3	13.4467	-7.14674
17	11.3	13.0807	-1.78067
18	11.9	12.7055	-0.805482
19	9.3	13.142	-3.84196
20	9.6	11.3017	-1.70174
21	10	12.8475	-2.84754
22	6.4	12.489	-6.08901
23	13.8	11.9077	1.8923
24	10.8	13.008	-2.20805
25	13.8	12.2712	1.52879
26	11.7	13.7398	-2.03975
27	10.9	11.7423	-0.842343
28	16.1	11.9663	4.1337
29	13.4	13.6663	-0.266316
30	9.9	13.2687	-3.36874
31	11.5	14.2746	-2.77459
32	8.3	13.0107	-4.71072
33	11.7	13.1162	-1.41622
34	6.1	12.954	-6.85399
35	9	13.0306	-4.0306
36	9.7	12.9096	-3.20961
37	10.8	13.1595	-2.35945
38	10.3	14.0669	-3.76688
39	10.4	13.2887	-2.88869
40	12.7	12.0054	0.694623
41	9.3	13.1192	-3.81923
42	11.8	14.1516	-2.35161
43	5.9	13.1196	-7.21958
44	11.4	13.2289	-1.82887
45	13	12.4028	0.597197
46	10.8	13.3172	-2.5172
47	12.3	12.1577	0.142261
48	11.3	14.5027	-3.20274
49	11.8	11.3747	0.425312
50	7.9	11.6636	-3.76359
51	12.7	11.9359	0.76412
52	12.3	12.6865	-0.38652
53	11.6	13.5077	-1.90772
54	6.7	11.5203	-4.82032
55	10.9	13.5889	-2.68886
56	12.1	11.3424	0.757643
57	13.3	12.5223	0.777656
58	10.1	13.4976	-3.39756
59	5.7	13.9388	-8.23879
60	14.3	11.0307	3.26931
61	8	12.8096	-4.80957
62	13.3	12.1598	1.14018
63	9.3	13.4367	-4.13672
64	12.5	12.6933	-0.193295
65	7.6	15.1394	-7.53944
66	15.9	13.0849	2.8151
67	9.2	13.1162	-3.91622
68	9.1	12.9271	-3.82707
69	11.1	14.4288	-3.32881
70	13	13.0083	-0.00829538
71	14.5	13.685	0.814966
72	12.2	13.0272	-0.827151
73	12.3	13.2767	-0.976729
74	11.4	13.9213	-2.52133
75	8.8	13.3354	-4.53535
76	14.6	12.4749	2.12512
77	7.3	13.0024	-5.70245
78	12.6	13.1382	-0.538191
79	NA	NA	-0.220272
80	13	12.9999	5.77033e-05
81	12.6	13.1317	-0.53168
82	13.2	16.0334	-2.8334
83	9.9	14.0533	-4.15335
84	7.7	10.4549	-2.75487
85	10.5	9.57318	0.926821
86	13.4	16.2615	-2.86148
87	10.9	18.3038	-7.40381
88	4.3	7.22332	-2.92332
89	10.3	10.054	0.246003
90	11.8	12.9748	-1.17476
91	11.2	13.7872	-2.58725
92	11.4	16.8728	-5.47279
93	8.6	7.34585	1.25415
94	13.2	13.0546	0.145427
95	12.6	19.1505	-6.55047
96	5.6	6.40771	-0.807706
97	9.9	14.4965	-4.59654
98	8.8	11.9451	-3.14515
99	7.7	10.6159	-2.91593
100	9	13.2598	-4.25982
101	7.3	9.08403	-1.78403
102	11.4	10.1374	1.26256
103	13.6	18.2639	-4.66386
104	7.9	9.82292	-1.92292
105	10.7	14.6903	-3.99028
106	10.3	12.7278	-2.42777
107	8.3	9.89663	-1.59663
108	9.6	6.6939	2.9061
109	14.2	18.3067	-4.10674
110	8.5	7.27107	1.22893
111	13.5	22.3181	-8.81813
112	4.9	11.7282	-6.82817
113	6.4	9.33204	-2.93204
114	9.6	11.491	-1.89102
115	11.6	12.5203	-0.920299
116	11.1	19.0645	-7.96448
117	4.35	5.46297	-1.11297
118	12.7	7.93838	4.76162
119	18.1	14.6949	3.40514
120	17.85	15.5406	2.30939
121	16.6	15.3344	1.26557
122	12.6	8.52784	4.07216
123	17.1	13.1965	3.90352
124	19.1	15.4585	3.64147
125	16.1	15.8982	0.201754
126	13.35	8.8731	4.4769
127	18.4	16.6451	1.75495
128	14.7	16.8743	-2.17429
129	10.6	9.32658	1.27342
130	12.6	7.90981	4.69019
131	16.2	14.5022	1.69783
132	13.6	6.935	6.665
133	18.9	18.0629	0.837149
134	14.1	13.859	0.24104
135	14.5	11.8092	2.69079
136	16.15	14.2509	1.8991
137	14.75	12.7565	1.99346
138	14.8	16.2258	-1.42577
139	12.45	12.0647	0.385293
140	12.65	8.97553	3.67447
141	17.35	21.9603	-4.61032
142	8.6	4.13103	4.46897
143	18.4	15.5188	2.88118
144	16.1	17.7246	-1.62456
145	11.6	6.80257	4.79743
146	17.75	13.7832	3.96682
147	15.25	10.8289	4.42113
148	17.65	15.1882	2.46181
149	15.6	12.8995	2.70047
150	16.35	12.6698	3.68022
151	17.65	15.7134	1.93659
152	13.6	15.1756	-1.57563
153	11.7	10.9727	0.727305
154	14.35	12.6247	1.72528
155	14.75	10.5727	4.17729
156	18.25	21.4979	-3.24789
157	9.9	7.6394	2.2606
158	16	10.5576	5.44239
159	18.25	14.1964	4.05359
160	16.85	15.6687	1.18126
161	14.6	12.2762	2.32385
162	13.85	8.93254	4.91746
163	18.95	17.4043	1.54566
164	15.6	14.148	1.45203
165	14.85	17.3786	-2.52856
166	11.75	7.41884	4.33116
167	18.45	14.9678	3.48216
168	15.9	13.5972	2.30281
169	17.1	14.938	2.16197
170	16.1	11.1654	4.93456
171	19.9	21.644	-1.74403
172	10.95	6.13232	4.81768
173	18.45	17.4412	1.00884
174	15.1	14.1385	0.961538
175	15	17.5493	-2.54927
176	11.35	8.14391	3.20609
177	15.95	11.0136	4.93642
178	18.1	16.4855	1.61455
179	14.6	12.7865	1.81346
180	15.4	13.5865	1.81346
181	15.4	9.68971	5.71029
182	17.6	16.8789	0.721124
183	13.35	6.8223	6.5277
184	19.1	15.8983	3.20166
185	15.35	21.0333	-5.68328
186	7.6	7.8831	-0.283099
187	13.4	12.4804	0.919556
188	13.9	8.57963	5.32037
189	19.1	16.4661	2.63386
190	15.25	15.159	0.0909615
191	12.9	10.2481	2.65191
192	16.1	12.1981	3.90191
193	17.35	17.6481	-0.298088
194	13.15	14.3996	-1.24963
195	12.15	10.4215	1.72848
196	12.6	14.6362	-2.03625
197	10.35	7.42956	2.92044
198	15.4	18.415	-3.01499
199	9.6	3.74536	5.85464
200	18.2	17.242	0.957987
201	13.6	12.0773	1.52265
202	14.85	13.777	1.07297
203	14.75	13.0242	1.72582
204	14.1	11.9663	2.13369
205	14.9	11.6744	3.22561
206	16.25	9.45853	6.79147
207	19.25	17.1555	2.09446
208	13.6	13.332	0.267959
209	13.6	12.2025	1.39749
210	15.65	15.7994	-0.149357
211	12.75	12.1372	0.612753
212	14.6	16.6237	-2.02367
213	9.85	9.36602	0.483979
214	12.65	12.4438	0.20624
215	11.9	4.74256	7.15744
216	19.2	15.1786	4.02144
217	16.6	18.495	-1.89505
218	11.2	8.67614	2.52386
219	15.25	16.4091	-1.15913
220	11.9	11.2035	0.696459
221	13.2	10.3203	2.87975
222	16.35	14.6803	1.66967
223	12.4	8.80487	3.59513
224	15.85	15.1247	0.725288
225	14.35	9.92363	4.42637
226	18.15	19.2106	-1.0606
227	11.15	9.03475	2.11525
228	15.65	11.0946	4.5554
229	17.75	23.3007	-5.55071
230	7.65	8.33678	-0.686779
231	12.35	8.98513	3.36487
232	15.6	11.605	3.99497
233	19.3	17.4914	1.80857
234	15.2	12.0096	3.19035
235	17.1	14.6473	2.4527
236	15.6	10.3677	5.23231
237	18.4	13.3982	5.00184
238	19.05	13.1667	5.8833
239	18.55	13.7376	4.81238
240	19.1	18.6611	0.438872
241	13.1	13.3353	-0.235254
242	12.85	14.6816	-1.83164
243	9.5	17.9935	-8.49351
244	4.5	5.2762	-0.776198
245	11.85	10.461	1.38897
246	13.6	13.1832	0.416817
247	11.7	11.1679	0.532063
248	12.4	13.4765	-1.07649
249	13.35	14.0924	-0.74235
250	11.4	8.64536	2.75464
251	14.9	9.96544	4.93456
252	19.9	15.7276	4.1724
253	17.75	18.7504	-1.00035
254	11.2	8.52404	2.67596
255	14.6	10.4485	4.15148
256	17.6	16.3321	1.26791
257	14.05	11.2903	2.75968
258	16.1	15.0216	1.07844
259	13.35	13.4163	-0.0662818
260	11.85	14.0072	-2.15722
261	11.95	10.238	1.71199
262	14.75	12.0423	2.70773
263	15.15	15.2617	-0.11166
264	13.2	10.1112	3.08883
265	16.85	21.6002	-4.75021
266	7.85	14.5019	-6.65185
267	7.7	7.98077	-0.280772
268	12.6	15.4604	-2.86038
269	7.85	9.59403	-1.74403
270	10.95	12.4096	-1.45963
271	12.35	13.8091	-1.45913
272	9.95	7.19536	2.75464
273	14.9	12.4801	2.4199
274	16.65	16.867	-0.217014
275	13.4	13.0176	0.382371
276	13.95	10.0563	3.89367
277	15.7	11.9532	3.74675
278	16.85	19.1606	-2.31064
279	10.95	8.34574	2.60426
280	15.35	16.3062	-0.956236
281	12.2	9.37727	2.82273
282	15.1	11.0713	4.0287
283	17.75	14.4919	3.25808
284	15.2	14.7533	0.446726
285	14.6	11.3414	3.25857
286	16.65	20.5135	-3.86352
287	8.1	NA	NA

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
12	0.616997	0.766005	0.383003
13	0.762692	0.474616	0.237308
14	0.662194	0.675612	0.337806
15	0.541403	0.917195	0.458597
16	0.628085	0.743831	0.371915
17	0.523212	0.953577	0.476788
18	0.428223	0.856446	0.571777
19	0.373595	0.747191	0.626405
20	0.291005	0.58201	0.708995
21	0.2199	0.4398	0.7801
22	0.281056	0.562112	0.718944
23	0.371886	0.743771	0.628114
24	0.311555	0.62311	0.688445
25	0.276249	0.552498	0.723751
26	0.230824	0.461648	0.769176
27	0.202933	0.405866	0.797067
28	0.26211	0.524221	0.73789
29	0.20849	0.41698	0.79151
30	0.196718	0.393436	0.803282
31	0.155918	0.311835	0.844082
32	0.134647	0.269295	0.865353
33	0.107834	0.215669	0.892166
34	0.18084	0.361681	0.81916
35	0.157039	0.314077	0.842961
36	0.131394	0.262788	0.868606
37	0.106186	0.212371	0.893814
38	0.0875319	0.175064	0.912468
39	0.0709538	0.141908	0.929046
40	0.053317	0.106634	0.946683
41	0.0443327	0.0886654	0.955667
42	0.0341506	0.0683013	0.965849
43	0.0564454	0.112891	0.943555
44	0.0439327	0.0878654	0.956067
45	0.0413588	0.0827175	0.958641
46	0.0321694	0.0643387	0.967831
47	0.0236644	0.0473288	0.976336
48	0.0183877	0.0367753	0.981612
49	0.014435	0.02887	0.985565
50	0.0238557	0.0477114	0.976144
51	0.0204366	0.0408731	0.979563
52	0.01523	0.03046	0.98477
53	0.0112375	0.0224751	0.988762
54	0.0160846	0.0321691	0.983915
55	0.0123307	0.0246614	0.987669
56	0.00946077	0.0189215	0.990539
57	0.0107286	0.0214572	0.989271
58	0.0087866	0.0175732	0.991213
59	0.0247432	0.0494864	0.975257
60	0.0309997	0.0619994	0.969
61	0.0291324	0.0582647	0.970868
62	0.0250812	0.0501623	0.974919
63	0.0238791	0.0477582	0.976121
64	0.0196153	0.0392306	0.980385
65	0.0243514	0.0487027	0.975649
66	0.0369604	0.0739208	0.96304
67	0.0351136	0.0702272	0.964886
68	0.0319302	0.0638604	0.96807
69	0.0286312	0.0572623	0.971369
70	0.0246875	0.0493751	0.975312
71	0.0341135	0.0682271	0.965886
72	0.0296632	0.0593264	0.970337
73	0.0251717	0.0503434	0.974828
74	0.0217736	0.0435472	0.978226
75	0.0217703	0.0435405	0.97823
76	0.0240127	0.0480254	0.975987
77	0.0347963	0.0695925	0.965204
78	0.0302944	0.0605887	0.969706
79	0.0249558	0.0499115	0.975044
80	0.0200742	0.0401484	0.979926
81	0.0184672	0.0369345	0.981533
82	0.0151266	0.0302532	0.984873
83	0.0167205	0.0334409	0.98328
84	0.014079	0.028158	0.985921
85	0.0121631	0.0243262	0.987837
86	0.0101332	0.0202664	0.989867
87	0.0267919	0.0535838	0.973208
88	0.0232502	0.0465005	0.97675
89	0.0187373	0.0374746	0.981263
90	0.01484	0.02968	0.98516
91	0.012629	0.0252579	0.987371
92	0.0151972	0.0303945	0.984803
93	0.0159052	0.0318105	0.984095
94	0.0140454	0.0280908	0.985955
95	0.0224659	0.0449317	0.977534
96	0.018058	0.0361159	0.981942
97	0.0183496	0.0366991	0.98165
98	0.0182227	0.0364454	0.981777
99	0.0174562	0.0349124	0.982544
100	0.0217683	0.0435367	0.978232
101	0.0182042	0.0364084	0.981796
102	0.018174	0.036348	0.981826
103	0.0200723	0.0401447	0.979928
104	0.0169552	0.0339105	0.983045
105	0.0168	0.0335999	0.9832
106	0.017578	0.0351559	0.982422
107	0.0146722	0.0293444	0.985328
108	0.0162283	0.0324566	0.983772
109	0.0186853	0.0373706	0.981315
110	0.0201308	0.0402617	0.979869
111	0.068345	0.13669	0.931655
112	0.1259	0.251799	0.8741
113	0.119961	0.239922	0.880039
114	0.114358	0.228715	0.885642
115	0.105368	0.210736	0.894632
116	0.232	0.464	0.768
117	0.234849	0.469698	0.765151
118	0.361493	0.722986	0.638507
119	0.442994	0.885987	0.557006
120	0.509061	0.981877	0.490939
121	0.494703	0.989406	0.505297
122	0.563322	0.873355	0.436678
123	0.658323	0.683354	0.341677
124	0.691585	0.616829	0.308415
125	0.676654	0.646691	0.323346
126	0.764847	0.470307	0.235153
127	0.758544	0.482912	0.241456
128	0.752849	0.494301	0.247151
129	0.735443	0.529114	0.264557
130	0.770474	0.459052	0.229526
131	0.756267	0.487465	0.243733
132	0.864873	0.270253	0.135127
133	0.852332	0.295337	0.147668
134	0.840393	0.319215	0.159607
135	0.839467	0.321067	0.160533
136	0.832511	0.334978	0.167489
137	0.832957	0.334085	0.167043
138	0.817802	0.364396	0.182198
139	0.80289	0.394221	0.19711
140	0.817842	0.364315	0.182158
141	0.856684	0.286633	0.143316
142	0.883229	0.233541	0.116771
143	0.88148	0.237039	0.11852
144	0.873114	0.253772	0.126886
145	0.893683	0.212634	0.106317
146	0.8991	0.2018	0.1009
147	0.911618	0.176765	0.0883823
148	0.908187	0.183626	0.091813
149	0.906006	0.187987	0.0939936
150	0.913413	0.173174	0.0865872
151	0.903108	0.193784	0.0968922
152	0.896866	0.206268	0.103134
153	0.884191	0.231618	0.115809
154	0.87482	0.25036	0.12518
155	0.885028	0.229944	0.114972
156	0.896716	0.206569	0.103284
157	0.887281	0.225438	0.112719
158	0.9137	0.1726	0.0862998
159	0.919169	0.161663	0.0808314
160	0.909642	0.180716	0.0903579
161	0.90409	0.19182	0.0959102
162	0.920531	0.158937	0.0794686
163	0.912069	0.175861	0.0879305
164	0.906528	0.186944	0.0934719
165	0.913204	0.173592	0.0867962
166	0.928528	0.142943	0.0714716
167	0.93249	0.135021	0.0675105
168	0.927884	0.144231	0.0721157
169	0.918802	0.162396	0.081198
170	0.935174	0.129651	0.0648256
171	0.927483	0.145034	0.072517
172	0.941556	0.116887	0.0584436
173	0.93165	0.1367	0.0683498
174	0.922096	0.155808	0.0779041
175	0.924715	0.150571	0.0752855
176	0.924709	0.150582	0.0752912
177	0.938885	0.12223	0.0611151
178	0.929212	0.141576	0.0707881
179	0.918523	0.162954	0.081477
180	0.90671	0.18658	0.0932898
181	0.937774	0.124453	0.0622263
182	0.925992	0.148016	0.074008
183	0.955159	0.0896823	0.0448412
184	0.95626	0.087481	0.0437405
185	0.981785	0.0364294	0.0182147
186	0.9776	0.0447999	0.0223999
187	0.972691	0.0546185	0.0273092
188	0.977913	0.0441738	0.0220869
189	0.975718	0.0485646	0.0242823
190	0.969827	0.0603451	0.0301725
191	0.966283	0.0674341	0.033717
192	0.967459	0.0650818	0.0325409
193	0.960854	0.0782923	0.0391462
194	0.957608	0.0847841	0.042392
195	0.952775	0.0944497	0.0472249
196	0.948212	0.103576	0.0517879
197	0.944594	0.110811	0.0554055
198	0.95057	0.0988604	0.0494302
199	0.963809	0.0723821	0.0361911
200	0.958784	0.0824311	0.0412156
201	0.950813	0.0983737	0.0491869
202	0.940483	0.119034	0.0595168
203	0.932036	0.135927	0.0679636
204	0.921644	0.156712	0.078356
205	0.915037	0.169927	0.0849634
206	0.957197	0.0856058	0.0428029
207	0.951603	0.0967947	0.0483974
208	0.94369	0.112619	0.0563097
209	0.932436	0.135129	0.0675643
210	0.920094	0.159812	0.079906
211	0.906173	0.187655	0.0938274
212	0.89571	0.20858	0.10429
213	0.875822	0.248356	0.124178
214	0.85327	0.293459	0.14673
215	0.887942	0.224116	0.112058
216	0.891902	0.216197	0.108098
217	0.877339	0.245322	0.122661
218	0.866718	0.266565	0.133282
219	0.863401	0.273199	0.136599
220	0.83892	0.322159	0.16108
221	0.820536	0.358928	0.179464
222	0.79508	0.409839	0.20492
223	0.803297	0.393406	0.196703
224	0.775666	0.448668	0.224334
225	0.786326	0.427349	0.213674
226	0.753918	0.492165	0.246082
227	0.724519	0.550963	0.275481
228	0.723229	0.553543	0.276771
229	0.890007	0.219986	0.109993
230	0.867164	0.265671	0.132836
231	0.85421	0.29158	0.14579
232	0.835541	0.328918	0.164459
233	0.807794	0.384413	0.192206
234	0.779984	0.440032	0.220016
235	0.755189	0.489622	0.244811
236	0.843551	0.312898	0.156449
237	0.853069	0.293862	0.146931
238	0.885396	0.229207	0.114604
239	0.889532	0.220935	0.110468
240	0.863101	0.273798	0.136899
241	0.832617	0.334766	0.167383
242	0.802423	0.395155	0.197577
243	0.947601	0.104797	0.0523987
244	0.936147	0.127705	0.0638527
245	0.920315	0.159369	0.0796846
246	0.897119	0.205761	0.102881
247	0.874662	0.250675	0.125338
248	0.865908	0.268183	0.134092
249	0.845337	0.309326	0.154663
250	0.829038	0.341923	0.170962
251	0.851018	0.297964	0.148982
252	0.868542	0.262916	0.131458
253	0.843125	0.313749	0.156875
254	0.817615	0.364769	0.182385
255	0.81537	0.36926	0.18463
256	0.837151	0.325697	0.162849
257	0.82551	0.34898	0.17449
258	0.797033	0.405934	0.202967
259	0.807793	0.384414	0.192207
260	0.761645	0.476711	0.238355
261	0.723798	0.552404	0.276202
262	0.66027	0.679459	0.33973
263	0.784107	0.431785	0.215893
264	0.721845	0.55631	0.278155
265	0.844591	0.310818	0.155409
266	0.80487	0.390259	0.19513
267	0.76057	0.478859	0.23943
268	0.784274	0.431452	0.215726
269	0.756519	0.486961	0.243481
270	0.911718	0.176564	0.0882821
271	0.86827	0.263461	0.13173
272	0.787937	0.424127	0.212063
273	0.658651	0.682697	0.341349
274	0.603806	0.792388	0.396194
275	0.600157	0.799686	0.399843

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
12 & 0.616997 & 0.766005 & 0.383003 \tabularnewline
13 & 0.762692 & 0.474616 & 0.237308 \tabularnewline
14 & 0.662194 & 0.675612 & 0.337806 \tabularnewline
15 & 0.541403 & 0.917195 & 0.458597 \tabularnewline
16 & 0.628085 & 0.743831 & 0.371915 \tabularnewline
17 & 0.523212 & 0.953577 & 0.476788 \tabularnewline
18 & 0.428223 & 0.856446 & 0.571777 \tabularnewline
19 & 0.373595 & 0.747191 & 0.626405 \tabularnewline
20 & 0.291005 & 0.58201 & 0.708995 \tabularnewline
21 & 0.2199 & 0.4398 & 0.7801 \tabularnewline
22 & 0.281056 & 0.562112 & 0.718944 \tabularnewline
23 & 0.371886 & 0.743771 & 0.628114 \tabularnewline
24 & 0.311555 & 0.62311 & 0.688445 \tabularnewline
25 & 0.276249 & 0.552498 & 0.723751 \tabularnewline
26 & 0.230824 & 0.461648 & 0.769176 \tabularnewline
27 & 0.202933 & 0.405866 & 0.797067 \tabularnewline
28 & 0.26211 & 0.524221 & 0.73789 \tabularnewline
29 & 0.20849 & 0.41698 & 0.79151 \tabularnewline
30 & 0.196718 & 0.393436 & 0.803282 \tabularnewline
31 & 0.155918 & 0.311835 & 0.844082 \tabularnewline
32 & 0.134647 & 0.269295 & 0.865353 \tabularnewline
33 & 0.107834 & 0.215669 & 0.892166 \tabularnewline
34 & 0.18084 & 0.361681 & 0.81916 \tabularnewline
35 & 0.157039 & 0.314077 & 0.842961 \tabularnewline
36 & 0.131394 & 0.262788 & 0.868606 \tabularnewline
37 & 0.106186 & 0.212371 & 0.893814 \tabularnewline
38 & 0.0875319 & 0.175064 & 0.912468 \tabularnewline
39 & 0.0709538 & 0.141908 & 0.929046 \tabularnewline
40 & 0.053317 & 0.106634 & 0.946683 \tabularnewline
41 & 0.0443327 & 0.0886654 & 0.955667 \tabularnewline
42 & 0.0341506 & 0.0683013 & 0.965849 \tabularnewline
43 & 0.0564454 & 0.112891 & 0.943555 \tabularnewline
44 & 0.0439327 & 0.0878654 & 0.956067 \tabularnewline
45 & 0.0413588 & 0.0827175 & 0.958641 \tabularnewline
46 & 0.0321694 & 0.0643387 & 0.967831 \tabularnewline
47 & 0.0236644 & 0.0473288 & 0.976336 \tabularnewline
48 & 0.0183877 & 0.0367753 & 0.981612 \tabularnewline
49 & 0.014435 & 0.02887 & 0.985565 \tabularnewline
50 & 0.0238557 & 0.0477114 & 0.976144 \tabularnewline
51 & 0.0204366 & 0.0408731 & 0.979563 \tabularnewline
52 & 0.01523 & 0.03046 & 0.98477 \tabularnewline
53 & 0.0112375 & 0.0224751 & 0.988762 \tabularnewline
54 & 0.0160846 & 0.0321691 & 0.983915 \tabularnewline
55 & 0.0123307 & 0.0246614 & 0.987669 \tabularnewline
56 & 0.00946077 & 0.0189215 & 0.990539 \tabularnewline
57 & 0.0107286 & 0.0214572 & 0.989271 \tabularnewline
58 & 0.0087866 & 0.0175732 & 0.991213 \tabularnewline
59 & 0.0247432 & 0.0494864 & 0.975257 \tabularnewline
60 & 0.0309997 & 0.0619994 & 0.969 \tabularnewline
61 & 0.0291324 & 0.0582647 & 0.970868 \tabularnewline
62 & 0.0250812 & 0.0501623 & 0.974919 \tabularnewline
63 & 0.0238791 & 0.0477582 & 0.976121 \tabularnewline
64 & 0.0196153 & 0.0392306 & 0.980385 \tabularnewline
65 & 0.0243514 & 0.0487027 & 0.975649 \tabularnewline
66 & 0.0369604 & 0.0739208 & 0.96304 \tabularnewline
67 & 0.0351136 & 0.0702272 & 0.964886 \tabularnewline
68 & 0.0319302 & 0.0638604 & 0.96807 \tabularnewline
69 & 0.0286312 & 0.0572623 & 0.971369 \tabularnewline
70 & 0.0246875 & 0.0493751 & 0.975312 \tabularnewline
71 & 0.0341135 & 0.0682271 & 0.965886 \tabularnewline
72 & 0.0296632 & 0.0593264 & 0.970337 \tabularnewline
73 & 0.0251717 & 0.0503434 & 0.974828 \tabularnewline
74 & 0.0217736 & 0.0435472 & 0.978226 \tabularnewline
75 & 0.0217703 & 0.0435405 & 0.97823 \tabularnewline
76 & 0.0240127 & 0.0480254 & 0.975987 \tabularnewline
77 & 0.0347963 & 0.0695925 & 0.965204 \tabularnewline
78 & 0.0302944 & 0.0605887 & 0.969706 \tabularnewline
79 & 0.0249558 & 0.0499115 & 0.975044 \tabularnewline
80 & 0.0200742 & 0.0401484 & 0.979926 \tabularnewline
81 & 0.0184672 & 0.0369345 & 0.981533 \tabularnewline
82 & 0.0151266 & 0.0302532 & 0.984873 \tabularnewline
83 & 0.0167205 & 0.0334409 & 0.98328 \tabularnewline
84 & 0.014079 & 0.028158 & 0.985921 \tabularnewline
85 & 0.0121631 & 0.0243262 & 0.987837 \tabularnewline
86 & 0.0101332 & 0.0202664 & 0.989867 \tabularnewline
87 & 0.0267919 & 0.0535838 & 0.973208 \tabularnewline
88 & 0.0232502 & 0.0465005 & 0.97675 \tabularnewline
89 & 0.0187373 & 0.0374746 & 0.981263 \tabularnewline
90 & 0.01484 & 0.02968 & 0.98516 \tabularnewline
91 & 0.012629 & 0.0252579 & 0.987371 \tabularnewline
92 & 0.0151972 & 0.0303945 & 0.984803 \tabularnewline
93 & 0.0159052 & 0.0318105 & 0.984095 \tabularnewline
94 & 0.0140454 & 0.0280908 & 0.985955 \tabularnewline
95 & 0.0224659 & 0.0449317 & 0.977534 \tabularnewline
96 & 0.018058 & 0.0361159 & 0.981942 \tabularnewline
97 & 0.0183496 & 0.0366991 & 0.98165 \tabularnewline
98 & 0.0182227 & 0.0364454 & 0.981777 \tabularnewline
99 & 0.0174562 & 0.0349124 & 0.982544 \tabularnewline
100 & 0.0217683 & 0.0435367 & 0.978232 \tabularnewline
101 & 0.0182042 & 0.0364084 & 0.981796 \tabularnewline
102 & 0.018174 & 0.036348 & 0.981826 \tabularnewline
103 & 0.0200723 & 0.0401447 & 0.979928 \tabularnewline
104 & 0.0169552 & 0.0339105 & 0.983045 \tabularnewline
105 & 0.0168 & 0.0335999 & 0.9832 \tabularnewline
106 & 0.017578 & 0.0351559 & 0.982422 \tabularnewline
107 & 0.0146722 & 0.0293444 & 0.985328 \tabularnewline
108 & 0.0162283 & 0.0324566 & 0.983772 \tabularnewline
109 & 0.0186853 & 0.0373706 & 0.981315 \tabularnewline
110 & 0.0201308 & 0.0402617 & 0.979869 \tabularnewline
111 & 0.068345 & 0.13669 & 0.931655 \tabularnewline
112 & 0.1259 & 0.251799 & 0.8741 \tabularnewline
113 & 0.119961 & 0.239922 & 0.880039 \tabularnewline
114 & 0.114358 & 0.228715 & 0.885642 \tabularnewline
115 & 0.105368 & 0.210736 & 0.894632 \tabularnewline
116 & 0.232 & 0.464 & 0.768 \tabularnewline
117 & 0.234849 & 0.469698 & 0.765151 \tabularnewline
118 & 0.361493 & 0.722986 & 0.638507 \tabularnewline
119 & 0.442994 & 0.885987 & 0.557006 \tabularnewline
120 & 0.509061 & 0.981877 & 0.490939 \tabularnewline
121 & 0.494703 & 0.989406 & 0.505297 \tabularnewline
122 & 0.563322 & 0.873355 & 0.436678 \tabularnewline
123 & 0.658323 & 0.683354 & 0.341677 \tabularnewline
124 & 0.691585 & 0.616829 & 0.308415 \tabularnewline
125 & 0.676654 & 0.646691 & 0.323346 \tabularnewline
126 & 0.764847 & 0.470307 & 0.235153 \tabularnewline
127 & 0.758544 & 0.482912 & 0.241456 \tabularnewline
128 & 0.752849 & 0.494301 & 0.247151 \tabularnewline
129 & 0.735443 & 0.529114 & 0.264557 \tabularnewline
130 & 0.770474 & 0.459052 & 0.229526 \tabularnewline
131 & 0.756267 & 0.487465 & 0.243733 \tabularnewline
132 & 0.864873 & 0.270253 & 0.135127 \tabularnewline
133 & 0.852332 & 0.295337 & 0.147668 \tabularnewline
134 & 0.840393 & 0.319215 & 0.159607 \tabularnewline
135 & 0.839467 & 0.321067 & 0.160533 \tabularnewline
136 & 0.832511 & 0.334978 & 0.167489 \tabularnewline
137 & 0.832957 & 0.334085 & 0.167043 \tabularnewline
138 & 0.817802 & 0.364396 & 0.182198 \tabularnewline
139 & 0.80289 & 0.394221 & 0.19711 \tabularnewline
140 & 0.817842 & 0.364315 & 0.182158 \tabularnewline
141 & 0.856684 & 0.286633 & 0.143316 \tabularnewline
142 & 0.883229 & 0.233541 & 0.116771 \tabularnewline
143 & 0.88148 & 0.237039 & 0.11852 \tabularnewline
144 & 0.873114 & 0.253772 & 0.126886 \tabularnewline
145 & 0.893683 & 0.212634 & 0.106317 \tabularnewline
146 & 0.8991 & 0.2018 & 0.1009 \tabularnewline
147 & 0.911618 & 0.176765 & 0.0883823 \tabularnewline
148 & 0.908187 & 0.183626 & 0.091813 \tabularnewline
149 & 0.906006 & 0.187987 & 0.0939936 \tabularnewline
150 & 0.913413 & 0.173174 & 0.0865872 \tabularnewline
151 & 0.903108 & 0.193784 & 0.0968922 \tabularnewline
152 & 0.896866 & 0.206268 & 0.103134 \tabularnewline
153 & 0.884191 & 0.231618 & 0.115809 \tabularnewline
154 & 0.87482 & 0.25036 & 0.12518 \tabularnewline
155 & 0.885028 & 0.229944 & 0.114972 \tabularnewline
156 & 0.896716 & 0.206569 & 0.103284 \tabularnewline
157 & 0.887281 & 0.225438 & 0.112719 \tabularnewline
158 & 0.9137 & 0.1726 & 0.0862998 \tabularnewline
159 & 0.919169 & 0.161663 & 0.0808314 \tabularnewline
160 & 0.909642 & 0.180716 & 0.0903579 \tabularnewline
161 & 0.90409 & 0.19182 & 0.0959102 \tabularnewline
162 & 0.920531 & 0.158937 & 0.0794686 \tabularnewline
163 & 0.912069 & 0.175861 & 0.0879305 \tabularnewline
164 & 0.906528 & 0.186944 & 0.0934719 \tabularnewline
165 & 0.913204 & 0.173592 & 0.0867962 \tabularnewline
166 & 0.928528 & 0.142943 & 0.0714716 \tabularnewline
167 & 0.93249 & 0.135021 & 0.0675105 \tabularnewline
168 & 0.927884 & 0.144231 & 0.0721157 \tabularnewline
169 & 0.918802 & 0.162396 & 0.081198 \tabularnewline
170 & 0.935174 & 0.129651 & 0.0648256 \tabularnewline
171 & 0.927483 & 0.145034 & 0.072517 \tabularnewline
172 & 0.941556 & 0.116887 & 0.0584436 \tabularnewline
173 & 0.93165 & 0.1367 & 0.0683498 \tabularnewline
174 & 0.922096 & 0.155808 & 0.0779041 \tabularnewline
175 & 0.924715 & 0.150571 & 0.0752855 \tabularnewline
176 & 0.924709 & 0.150582 & 0.0752912 \tabularnewline
177 & 0.938885 & 0.12223 & 0.0611151 \tabularnewline
178 & 0.929212 & 0.141576 & 0.0707881 \tabularnewline
179 & 0.918523 & 0.162954 & 0.081477 \tabularnewline
180 & 0.90671 & 0.18658 & 0.0932898 \tabularnewline
181 & 0.937774 & 0.124453 & 0.0622263 \tabularnewline
182 & 0.925992 & 0.148016 & 0.074008 \tabularnewline
183 & 0.955159 & 0.0896823 & 0.0448412 \tabularnewline
184 & 0.95626 & 0.087481 & 0.0437405 \tabularnewline
185 & 0.981785 & 0.0364294 & 0.0182147 \tabularnewline
186 & 0.9776 & 0.0447999 & 0.0223999 \tabularnewline
187 & 0.972691 & 0.0546185 & 0.0273092 \tabularnewline
188 & 0.977913 & 0.0441738 & 0.0220869 \tabularnewline
189 & 0.975718 & 0.0485646 & 0.0242823 \tabularnewline
190 & 0.969827 & 0.0603451 & 0.0301725 \tabularnewline
191 & 0.966283 & 0.0674341 & 0.033717 \tabularnewline
192 & 0.967459 & 0.0650818 & 0.0325409 \tabularnewline
193 & 0.960854 & 0.0782923 & 0.0391462 \tabularnewline
194 & 0.957608 & 0.0847841 & 0.042392 \tabularnewline
195 & 0.952775 & 0.0944497 & 0.0472249 \tabularnewline
196 & 0.948212 & 0.103576 & 0.0517879 \tabularnewline
197 & 0.944594 & 0.110811 & 0.0554055 \tabularnewline
198 & 0.95057 & 0.0988604 & 0.0494302 \tabularnewline
199 & 0.963809 & 0.0723821 & 0.0361911 \tabularnewline
200 & 0.958784 & 0.0824311 & 0.0412156 \tabularnewline
201 & 0.950813 & 0.0983737 & 0.0491869 \tabularnewline
202 & 0.940483 & 0.119034 & 0.0595168 \tabularnewline
203 & 0.932036 & 0.135927 & 0.0679636 \tabularnewline
204 & 0.921644 & 0.156712 & 0.078356 \tabularnewline
205 & 0.915037 & 0.169927 & 0.0849634 \tabularnewline
206 & 0.957197 & 0.0856058 & 0.0428029 \tabularnewline
207 & 0.951603 & 0.0967947 & 0.0483974 \tabularnewline
208 & 0.94369 & 0.112619 & 0.0563097 \tabularnewline
209 & 0.932436 & 0.135129 & 0.0675643 \tabularnewline
210 & 0.920094 & 0.159812 & 0.079906 \tabularnewline
211 & 0.906173 & 0.187655 & 0.0938274 \tabularnewline
212 & 0.89571 & 0.20858 & 0.10429 \tabularnewline
213 & 0.875822 & 0.248356 & 0.124178 \tabularnewline
214 & 0.85327 & 0.293459 & 0.14673 \tabularnewline
215 & 0.887942 & 0.224116 & 0.112058 \tabularnewline
216 & 0.891902 & 0.216197 & 0.108098 \tabularnewline
217 & 0.877339 & 0.245322 & 0.122661 \tabularnewline
218 & 0.866718 & 0.266565 & 0.133282 \tabularnewline
219 & 0.863401 & 0.273199 & 0.136599 \tabularnewline
220 & 0.83892 & 0.322159 & 0.16108 \tabularnewline
221 & 0.820536 & 0.358928 & 0.179464 \tabularnewline
222 & 0.79508 & 0.409839 & 0.20492 \tabularnewline
223 & 0.803297 & 0.393406 & 0.196703 \tabularnewline
224 & 0.775666 & 0.448668 & 0.224334 \tabularnewline
225 & 0.786326 & 0.427349 & 0.213674 \tabularnewline
226 & 0.753918 & 0.492165 & 0.246082 \tabularnewline
227 & 0.724519 & 0.550963 & 0.275481 \tabularnewline
228 & 0.723229 & 0.553543 & 0.276771 \tabularnewline
229 & 0.890007 & 0.219986 & 0.109993 \tabularnewline
230 & 0.867164 & 0.265671 & 0.132836 \tabularnewline
231 & 0.85421 & 0.29158 & 0.14579 \tabularnewline
232 & 0.835541 & 0.328918 & 0.164459 \tabularnewline
233 & 0.807794 & 0.384413 & 0.192206 \tabularnewline
234 & 0.779984 & 0.440032 & 0.220016 \tabularnewline
235 & 0.755189 & 0.489622 & 0.244811 \tabularnewline
236 & 0.843551 & 0.312898 & 0.156449 \tabularnewline
237 & 0.853069 & 0.293862 & 0.146931 \tabularnewline
238 & 0.885396 & 0.229207 & 0.114604 \tabularnewline
239 & 0.889532 & 0.220935 & 0.110468 \tabularnewline
240 & 0.863101 & 0.273798 & 0.136899 \tabularnewline
241 & 0.832617 & 0.334766 & 0.167383 \tabularnewline
242 & 0.802423 & 0.395155 & 0.197577 \tabularnewline
243 & 0.947601 & 0.104797 & 0.0523987 \tabularnewline
244 & 0.936147 & 0.127705 & 0.0638527 \tabularnewline
245 & 0.920315 & 0.159369 & 0.0796846 \tabularnewline
246 & 0.897119 & 0.205761 & 0.102881 \tabularnewline
247 & 0.874662 & 0.250675 & 0.125338 \tabularnewline
248 & 0.865908 & 0.268183 & 0.134092 \tabularnewline
249 & 0.845337 & 0.309326 & 0.154663 \tabularnewline
250 & 0.829038 & 0.341923 & 0.170962 \tabularnewline
251 & 0.851018 & 0.297964 & 0.148982 \tabularnewline
252 & 0.868542 & 0.262916 & 0.131458 \tabularnewline
253 & 0.843125 & 0.313749 & 0.156875 \tabularnewline
254 & 0.817615 & 0.364769 & 0.182385 \tabularnewline
255 & 0.81537 & 0.36926 & 0.18463 \tabularnewline
256 & 0.837151 & 0.325697 & 0.162849 \tabularnewline
257 & 0.82551 & 0.34898 & 0.17449 \tabularnewline
258 & 0.797033 & 0.405934 & 0.202967 \tabularnewline
259 & 0.807793 & 0.384414 & 0.192207 \tabularnewline
260 & 0.761645 & 0.476711 & 0.238355 \tabularnewline
261 & 0.723798 & 0.552404 & 0.276202 \tabularnewline
262 & 0.66027 & 0.679459 & 0.33973 \tabularnewline
263 & 0.784107 & 0.431785 & 0.215893 \tabularnewline
264 & 0.721845 & 0.55631 & 0.278155 \tabularnewline
265 & 0.844591 & 0.310818 & 0.155409 \tabularnewline
266 & 0.80487 & 0.390259 & 0.19513 \tabularnewline
267 & 0.76057 & 0.478859 & 0.23943 \tabularnewline
268 & 0.784274 & 0.431452 & 0.215726 \tabularnewline
269 & 0.756519 & 0.486961 & 0.243481 \tabularnewline
270 & 0.911718 & 0.176564 & 0.0882821 \tabularnewline
271 & 0.86827 & 0.263461 & 0.13173 \tabularnewline
272 & 0.787937 & 0.424127 & 0.212063 \tabularnewline
273 & 0.658651 & 0.682697 & 0.341349 \tabularnewline
274 & 0.603806 & 0.792388 & 0.396194 \tabularnewline
275 & 0.600157 & 0.799686 & 0.399843 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264924&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]12[/C][C]0.616997[/C][C]0.766005[/C][C]0.383003[/C][/ROW]
[ROW][C]13[/C][C]0.762692[/C][C]0.474616[/C][C]0.237308[/C][/ROW]
[ROW][C]14[/C][C]0.662194[/C][C]0.675612[/C][C]0.337806[/C][/ROW]
[ROW][C]15[/C][C]0.541403[/C][C]0.917195[/C][C]0.458597[/C][/ROW]
[ROW][C]16[/C][C]0.628085[/C][C]0.743831[/C][C]0.371915[/C][/ROW]
[ROW][C]17[/C][C]0.523212[/C][C]0.953577[/C][C]0.476788[/C][/ROW]
[ROW][C]18[/C][C]0.428223[/C][C]0.856446[/C][C]0.571777[/C][/ROW]
[ROW][C]19[/C][C]0.373595[/C][C]0.747191[/C][C]0.626405[/C][/ROW]
[ROW][C]20[/C][C]0.291005[/C][C]0.58201[/C][C]0.708995[/C][/ROW]
[ROW][C]21[/C][C]0.2199[/C][C]0.4398[/C][C]0.7801[/C][/ROW]
[ROW][C]22[/C][C]0.281056[/C][C]0.562112[/C][C]0.718944[/C][/ROW]
[ROW][C]23[/C][C]0.371886[/C][C]0.743771[/C][C]0.628114[/C][/ROW]
[ROW][C]24[/C][C]0.311555[/C][C]0.62311[/C][C]0.688445[/C][/ROW]
[ROW][C]25[/C][C]0.276249[/C][C]0.552498[/C][C]0.723751[/C][/ROW]
[ROW][C]26[/C][C]0.230824[/C][C]0.461648[/C][C]0.769176[/C][/ROW]
[ROW][C]27[/C][C]0.202933[/C][C]0.405866[/C][C]0.797067[/C][/ROW]
[ROW][C]28[/C][C]0.26211[/C][C]0.524221[/C][C]0.73789[/C][/ROW]
[ROW][C]29[/C][C]0.20849[/C][C]0.41698[/C][C]0.79151[/C][/ROW]
[ROW][C]30[/C][C]0.196718[/C][C]0.393436[/C][C]0.803282[/C][/ROW]
[ROW][C]31[/C][C]0.155918[/C][C]0.311835[/C][C]0.844082[/C][/ROW]
[ROW][C]32[/C][C]0.134647[/C][C]0.269295[/C][C]0.865353[/C][/ROW]
[ROW][C]33[/C][C]0.107834[/C][C]0.215669[/C][C]0.892166[/C][/ROW]
[ROW][C]34[/C][C]0.18084[/C][C]0.361681[/C][C]0.81916[/C][/ROW]
[ROW][C]35[/C][C]0.157039[/C][C]0.314077[/C][C]0.842961[/C][/ROW]
[ROW][C]36[/C][C]0.131394[/C][C]0.262788[/C][C]0.868606[/C][/ROW]
[ROW][C]37[/C][C]0.106186[/C][C]0.212371[/C][C]0.893814[/C][/ROW]
[ROW][C]38[/C][C]0.0875319[/C][C]0.175064[/C][C]0.912468[/C][/ROW]
[ROW][C]39[/C][C]0.0709538[/C][C]0.141908[/C][C]0.929046[/C][/ROW]
[ROW][C]40[/C][C]0.053317[/C][C]0.106634[/C][C]0.946683[/C][/ROW]
[ROW][C]41[/C][C]0.0443327[/C][C]0.0886654[/C][C]0.955667[/C][/ROW]
[ROW][C]42[/C][C]0.0341506[/C][C]0.0683013[/C][C]0.965849[/C][/ROW]
[ROW][C]43[/C][C]0.0564454[/C][C]0.112891[/C][C]0.943555[/C][/ROW]
[ROW][C]44[/C][C]0.0439327[/C][C]0.0878654[/C][C]0.956067[/C][/ROW]
[ROW][C]45[/C][C]0.0413588[/C][C]0.0827175[/C][C]0.958641[/C][/ROW]
[ROW][C]46[/C][C]0.0321694[/C][C]0.0643387[/C][C]0.967831[/C][/ROW]
[ROW][C]47[/C][C]0.0236644[/C][C]0.0473288[/C][C]0.976336[/C][/ROW]
[ROW][C]48[/C][C]0.0183877[/C][C]0.0367753[/C][C]0.981612[/C][/ROW]
[ROW][C]49[/C][C]0.014435[/C][C]0.02887[/C][C]0.985565[/C][/ROW]
[ROW][C]50[/C][C]0.0238557[/C][C]0.0477114[/C][C]0.976144[/C][/ROW]
[ROW][C]51[/C][C]0.0204366[/C][C]0.0408731[/C][C]0.979563[/C][/ROW]
[ROW][C]52[/C][C]0.01523[/C][C]0.03046[/C][C]0.98477[/C][/ROW]
[ROW][C]53[/C][C]0.0112375[/C][C]0.0224751[/C][C]0.988762[/C][/ROW]
[ROW][C]54[/C][C]0.0160846[/C][C]0.0321691[/C][C]0.983915[/C][/ROW]
[ROW][C]55[/C][C]0.0123307[/C][C]0.0246614[/C][C]0.987669[/C][/ROW]
[ROW][C]56[/C][C]0.00946077[/C][C]0.0189215[/C][C]0.990539[/C][/ROW]
[ROW][C]57[/C][C]0.0107286[/C][C]0.0214572[/C][C]0.989271[/C][/ROW]
[ROW][C]58[/C][C]0.0087866[/C][C]0.0175732[/C][C]0.991213[/C][/ROW]
[ROW][C]59[/C][C]0.0247432[/C][C]0.0494864[/C][C]0.975257[/C][/ROW]
[ROW][C]60[/C][C]0.0309997[/C][C]0.0619994[/C][C]0.969[/C][/ROW]
[ROW][C]61[/C][C]0.0291324[/C][C]0.0582647[/C][C]0.970868[/C][/ROW]
[ROW][C]62[/C][C]0.0250812[/C][C]0.0501623[/C][C]0.974919[/C][/ROW]
[ROW][C]63[/C][C]0.0238791[/C][C]0.0477582[/C][C]0.976121[/C][/ROW]
[ROW][C]64[/C][C]0.0196153[/C][C]0.0392306[/C][C]0.980385[/C][/ROW]
[ROW][C]65[/C][C]0.0243514[/C][C]0.0487027[/C][C]0.975649[/C][/ROW]
[ROW][C]66[/C][C]0.0369604[/C][C]0.0739208[/C][C]0.96304[/C][/ROW]
[ROW][C]67[/C][C]0.0351136[/C][C]0.0702272[/C][C]0.964886[/C][/ROW]
[ROW][C]68[/C][C]0.0319302[/C][C]0.0638604[/C][C]0.96807[/C][/ROW]
[ROW][C]69[/C][C]0.0286312[/C][C]0.0572623[/C][C]0.971369[/C][/ROW]
[ROW][C]70[/C][C]0.0246875[/C][C]0.0493751[/C][C]0.975312[/C][/ROW]
[ROW][C]71[/C][C]0.0341135[/C][C]0.0682271[/C][C]0.965886[/C][/ROW]
[ROW][C]72[/C][C]0.0296632[/C][C]0.0593264[/C][C]0.970337[/C][/ROW]
[ROW][C]73[/C][C]0.0251717[/C][C]0.0503434[/C][C]0.974828[/C][/ROW]
[ROW][C]74[/C][C]0.0217736[/C][C]0.0435472[/C][C]0.978226[/C][/ROW]
[ROW][C]75[/C][C]0.0217703[/C][C]0.0435405[/C][C]0.97823[/C][/ROW]
[ROW][C]76[/C][C]0.0240127[/C][C]0.0480254[/C][C]0.975987[/C][/ROW]
[ROW][C]77[/C][C]0.0347963[/C][C]0.0695925[/C][C]0.965204[/C][/ROW]
[ROW][C]78[/C][C]0.0302944[/C][C]0.0605887[/C][C]0.969706[/C][/ROW]
[ROW][C]79[/C][C]0.0249558[/C][C]0.0499115[/C][C]0.975044[/C][/ROW]
[ROW][C]80[/C][C]0.0200742[/C][C]0.0401484[/C][C]0.979926[/C][/ROW]
[ROW][C]81[/C][C]0.0184672[/C][C]0.0369345[/C][C]0.981533[/C][/ROW]
[ROW][C]82[/C][C]0.0151266[/C][C]0.0302532[/C][C]0.984873[/C][/ROW]
[ROW][C]83[/C][C]0.0167205[/C][C]0.0334409[/C][C]0.98328[/C][/ROW]
[ROW][C]84[/C][C]0.014079[/C][C]0.028158[/C][C]0.985921[/C][/ROW]
[ROW][C]85[/C][C]0.0121631[/C][C]0.0243262[/C][C]0.987837[/C][/ROW]
[ROW][C]86[/C][C]0.0101332[/C][C]0.0202664[/C][C]0.989867[/C][/ROW]
[ROW][C]87[/C][C]0.0267919[/C][C]0.0535838[/C][C]0.973208[/C][/ROW]
[ROW][C]88[/C][C]0.0232502[/C][C]0.0465005[/C][C]0.97675[/C][/ROW]
[ROW][C]89[/C][C]0.0187373[/C][C]0.0374746[/C][C]0.981263[/C][/ROW]
[ROW][C]90[/C][C]0.01484[/C][C]0.02968[/C][C]0.98516[/C][/ROW]
[ROW][C]91[/C][C]0.012629[/C][C]0.0252579[/C][C]0.987371[/C][/ROW]
[ROW][C]92[/C][C]0.0151972[/C][C]0.0303945[/C][C]0.984803[/C][/ROW]
[ROW][C]93[/C][C]0.0159052[/C][C]0.0318105[/C][C]0.984095[/C][/ROW]
[ROW][C]94[/C][C]0.0140454[/C][C]0.0280908[/C][C]0.985955[/C][/ROW]
[ROW][C]95[/C][C]0.0224659[/C][C]0.0449317[/C][C]0.977534[/C][/ROW]
[ROW][C]96[/C][C]0.018058[/C][C]0.0361159[/C][C]0.981942[/C][/ROW]
[ROW][C]97[/C][C]0.0183496[/C][C]0.0366991[/C][C]0.98165[/C][/ROW]
[ROW][C]98[/C][C]0.0182227[/C][C]0.0364454[/C][C]0.981777[/C][/ROW]
[ROW][C]99[/C][C]0.0174562[/C][C]0.0349124[/C][C]0.982544[/C][/ROW]
[ROW][C]100[/C][C]0.0217683[/C][C]0.0435367[/C][C]0.978232[/C][/ROW]
[ROW][C]101[/C][C]0.0182042[/C][C]0.0364084[/C][C]0.981796[/C][/ROW]
[ROW][C]102[/C][C]0.018174[/C][C]0.036348[/C][C]0.981826[/C][/ROW]
[ROW][C]103[/C][C]0.0200723[/C][C]0.0401447[/C][C]0.979928[/C][/ROW]
[ROW][C]104[/C][C]0.0169552[/C][C]0.0339105[/C][C]0.983045[/C][/ROW]
[ROW][C]105[/C][C]0.0168[/C][C]0.0335999[/C][C]0.9832[/C][/ROW]
[ROW][C]106[/C][C]0.017578[/C][C]0.0351559[/C][C]0.982422[/C][/ROW]
[ROW][C]107[/C][C]0.0146722[/C][C]0.0293444[/C][C]0.985328[/C][/ROW]
[ROW][C]108[/C][C]0.0162283[/C][C]0.0324566[/C][C]0.983772[/C][/ROW]
[ROW][C]109[/C][C]0.0186853[/C][C]0.0373706[/C][C]0.981315[/C][/ROW]
[ROW][C]110[/C][C]0.0201308[/C][C]0.0402617[/C][C]0.979869[/C][/ROW]
[ROW][C]111[/C][C]0.068345[/C][C]0.13669[/C][C]0.931655[/C][/ROW]
[ROW][C]112[/C][C]0.1259[/C][C]0.251799[/C][C]0.8741[/C][/ROW]
[ROW][C]113[/C][C]0.119961[/C][C]0.239922[/C][C]0.880039[/C][/ROW]
[ROW][C]114[/C][C]0.114358[/C][C]0.228715[/C][C]0.885642[/C][/ROW]
[ROW][C]115[/C][C]0.105368[/C][C]0.210736[/C][C]0.894632[/C][/ROW]
[ROW][C]116[/C][C]0.232[/C][C]0.464[/C][C]0.768[/C][/ROW]
[ROW][C]117[/C][C]0.234849[/C][C]0.469698[/C][C]0.765151[/C][/ROW]
[ROW][C]118[/C][C]0.361493[/C][C]0.722986[/C][C]0.638507[/C][/ROW]
[ROW][C]119[/C][C]0.442994[/C][C]0.885987[/C][C]0.557006[/C][/ROW]
[ROW][C]120[/C][C]0.509061[/C][C]0.981877[/C][C]0.490939[/C][/ROW]
[ROW][C]121[/C][C]0.494703[/C][C]0.989406[/C][C]0.505297[/C][/ROW]
[ROW][C]122[/C][C]0.563322[/C][C]0.873355[/C][C]0.436678[/C][/ROW]
[ROW][C]123[/C][C]0.658323[/C][C]0.683354[/C][C]0.341677[/C][/ROW]
[ROW][C]124[/C][C]0.691585[/C][C]0.616829[/C][C]0.308415[/C][/ROW]
[ROW][C]125[/C][C]0.676654[/C][C]0.646691[/C][C]0.323346[/C][/ROW]
[ROW][C]126[/C][C]0.764847[/C][C]0.470307[/C][C]0.235153[/C][/ROW]
[ROW][C]127[/C][C]0.758544[/C][C]0.482912[/C][C]0.241456[/C][/ROW]
[ROW][C]128[/C][C]0.752849[/C][C]0.494301[/C][C]0.247151[/C][/ROW]
[ROW][C]129[/C][C]0.735443[/C][C]0.529114[/C][C]0.264557[/C][/ROW]
[ROW][C]130[/C][C]0.770474[/C][C]0.459052[/C][C]0.229526[/C][/ROW]
[ROW][C]131[/C][C]0.756267[/C][C]0.487465[/C][C]0.243733[/C][/ROW]
[ROW][C]132[/C][C]0.864873[/C][C]0.270253[/C][C]0.135127[/C][/ROW]
[ROW][C]133[/C][C]0.852332[/C][C]0.295337[/C][C]0.147668[/C][/ROW]
[ROW][C]134[/C][C]0.840393[/C][C]0.319215[/C][C]0.159607[/C][/ROW]
[ROW][C]135[/C][C]0.839467[/C][C]0.321067[/C][C]0.160533[/C][/ROW]
[ROW][C]136[/C][C]0.832511[/C][C]0.334978[/C][C]0.167489[/C][/ROW]
[ROW][C]137[/C][C]0.832957[/C][C]0.334085[/C][C]0.167043[/C][/ROW]
[ROW][C]138[/C][C]0.817802[/C][C]0.364396[/C][C]0.182198[/C][/ROW]
[ROW][C]139[/C][C]0.80289[/C][C]0.394221[/C][C]0.19711[/C][/ROW]
[ROW][C]140[/C][C]0.817842[/C][C]0.364315[/C][C]0.182158[/C][/ROW]
[ROW][C]141[/C][C]0.856684[/C][C]0.286633[/C][C]0.143316[/C][/ROW]
[ROW][C]142[/C][C]0.883229[/C][C]0.233541[/C][C]0.116771[/C][/ROW]
[ROW][C]143[/C][C]0.88148[/C][C]0.237039[/C][C]0.11852[/C][/ROW]
[ROW][C]144[/C][C]0.873114[/C][C]0.253772[/C][C]0.126886[/C][/ROW]
[ROW][C]145[/C][C]0.893683[/C][C]0.212634[/C][C]0.106317[/C][/ROW]
[ROW][C]146[/C][C]0.8991[/C][C]0.2018[/C][C]0.1009[/C][/ROW]
[ROW][C]147[/C][C]0.911618[/C][C]0.176765[/C][C]0.0883823[/C][/ROW]
[ROW][C]148[/C][C]0.908187[/C][C]0.183626[/C][C]0.091813[/C][/ROW]
[ROW][C]149[/C][C]0.906006[/C][C]0.187987[/C][C]0.0939936[/C][/ROW]
[ROW][C]150[/C][C]0.913413[/C][C]0.173174[/C][C]0.0865872[/C][/ROW]
[ROW][C]151[/C][C]0.903108[/C][C]0.193784[/C][C]0.0968922[/C][/ROW]
[ROW][C]152[/C][C]0.896866[/C][C]0.206268[/C][C]0.103134[/C][/ROW]
[ROW][C]153[/C][C]0.884191[/C][C]0.231618[/C][C]0.115809[/C][/ROW]
[ROW][C]154[/C][C]0.87482[/C][C]0.25036[/C][C]0.12518[/C][/ROW]
[ROW][C]155[/C][C]0.885028[/C][C]0.229944[/C][C]0.114972[/C][/ROW]
[ROW][C]156[/C][C]0.896716[/C][C]0.206569[/C][C]0.103284[/C][/ROW]
[ROW][C]157[/C][C]0.887281[/C][C]0.225438[/C][C]0.112719[/C][/ROW]
[ROW][C]158[/C][C]0.9137[/C][C]0.1726[/C][C]0.0862998[/C][/ROW]
[ROW][C]159[/C][C]0.919169[/C][C]0.161663[/C][C]0.0808314[/C][/ROW]
[ROW][C]160[/C][C]0.909642[/C][C]0.180716[/C][C]0.0903579[/C][/ROW]
[ROW][C]161[/C][C]0.90409[/C][C]0.19182[/C][C]0.0959102[/C][/ROW]
[ROW][C]162[/C][C]0.920531[/C][C]0.158937[/C][C]0.0794686[/C][/ROW]
[ROW][C]163[/C][C]0.912069[/C][C]0.175861[/C][C]0.0879305[/C][/ROW]
[ROW][C]164[/C][C]0.906528[/C][C]0.186944[/C][C]0.0934719[/C][/ROW]
[ROW][C]165[/C][C]0.913204[/C][C]0.173592[/C][C]0.0867962[/C][/ROW]
[ROW][C]166[/C][C]0.928528[/C][C]0.142943[/C][C]0.0714716[/C][/ROW]
[ROW][C]167[/C][C]0.93249[/C][C]0.135021[/C][C]0.0675105[/C][/ROW]
[ROW][C]168[/C][C]0.927884[/C][C]0.144231[/C][C]0.0721157[/C][/ROW]
[ROW][C]169[/C][C]0.918802[/C][C]0.162396[/C][C]0.081198[/C][/ROW]
[ROW][C]170[/C][C]0.935174[/C][C]0.129651[/C][C]0.0648256[/C][/ROW]
[ROW][C]171[/C][C]0.927483[/C][C]0.145034[/C][C]0.072517[/C][/ROW]
[ROW][C]172[/C][C]0.941556[/C][C]0.116887[/C][C]0.0584436[/C][/ROW]
[ROW][C]173[/C][C]0.93165[/C][C]0.1367[/C][C]0.0683498[/C][/ROW]
[ROW][C]174[/C][C]0.922096[/C][C]0.155808[/C][C]0.0779041[/C][/ROW]
[ROW][C]175[/C][C]0.924715[/C][C]0.150571[/C][C]0.0752855[/C][/ROW]
[ROW][C]176[/C][C]0.924709[/C][C]0.150582[/C][C]0.0752912[/C][/ROW]
[ROW][C]177[/C][C]0.938885[/C][C]0.12223[/C][C]0.0611151[/C][/ROW]
[ROW][C]178[/C][C]0.929212[/C][C]0.141576[/C][C]0.0707881[/C][/ROW]
[ROW][C]179[/C][C]0.918523[/C][C]0.162954[/C][C]0.081477[/C][/ROW]
[ROW][C]180[/C][C]0.90671[/C][C]0.18658[/C][C]0.0932898[/C][/ROW]
[ROW][C]181[/C][C]0.937774[/C][C]0.124453[/C][C]0.0622263[/C][/ROW]
[ROW][C]182[/C][C]0.925992[/C][C]0.148016[/C][C]0.074008[/C][/ROW]
[ROW][C]183[/C][C]0.955159[/C][C]0.0896823[/C][C]0.0448412[/C][/ROW]
[ROW][C]184[/C][C]0.95626[/C][C]0.087481[/C][C]0.0437405[/C][/ROW]
[ROW][C]185[/C][C]0.981785[/C][C]0.0364294[/C][C]0.0182147[/C][/ROW]
[ROW][C]186[/C][C]0.9776[/C][C]0.0447999[/C][C]0.0223999[/C][/ROW]
[ROW][C]187[/C][C]0.972691[/C][C]0.0546185[/C][C]0.0273092[/C][/ROW]
[ROW][C]188[/C][C]0.977913[/C][C]0.0441738[/C][C]0.0220869[/C][/ROW]
[ROW][C]189[/C][C]0.975718[/C][C]0.0485646[/C][C]0.0242823[/C][/ROW]
[ROW][C]190[/C][C]0.969827[/C][C]0.0603451[/C][C]0.0301725[/C][/ROW]
[ROW][C]191[/C][C]0.966283[/C][C]0.0674341[/C][C]0.033717[/C][/ROW]
[ROW][C]192[/C][C]0.967459[/C][C]0.0650818[/C][C]0.0325409[/C][/ROW]
[ROW][C]193[/C][C]0.960854[/C][C]0.0782923[/C][C]0.0391462[/C][/ROW]
[ROW][C]194[/C][C]0.957608[/C][C]0.0847841[/C][C]0.042392[/C][/ROW]
[ROW][C]195[/C][C]0.952775[/C][C]0.0944497[/C][C]0.0472249[/C][/ROW]
[ROW][C]196[/C][C]0.948212[/C][C]0.103576[/C][C]0.0517879[/C][/ROW]
[ROW][C]197[/C][C]0.944594[/C][C]0.110811[/C][C]0.0554055[/C][/ROW]
[ROW][C]198[/C][C]0.95057[/C][C]0.0988604[/C][C]0.0494302[/C][/ROW]
[ROW][C]199[/C][C]0.963809[/C][C]0.0723821[/C][C]0.0361911[/C][/ROW]
[ROW][C]200[/C][C]0.958784[/C][C]0.0824311[/C][C]0.0412156[/C][/ROW]
[ROW][C]201[/C][C]0.950813[/C][C]0.0983737[/C][C]0.0491869[/C][/ROW]
[ROW][C]202[/C][C]0.940483[/C][C]0.119034[/C][C]0.0595168[/C][/ROW]
[ROW][C]203[/C][C]0.932036[/C][C]0.135927[/C][C]0.0679636[/C][/ROW]
[ROW][C]204[/C][C]0.921644[/C][C]0.156712[/C][C]0.078356[/C][/ROW]
[ROW][C]205[/C][C]0.915037[/C][C]0.169927[/C][C]0.0849634[/C][/ROW]
[ROW][C]206[/C][C]0.957197[/C][C]0.0856058[/C][C]0.0428029[/C][/ROW]
[ROW][C]207[/C][C]0.951603[/C][C]0.0967947[/C][C]0.0483974[/C][/ROW]
[ROW][C]208[/C][C]0.94369[/C][C]0.112619[/C][C]0.0563097[/C][/ROW]
[ROW][C]209[/C][C]0.932436[/C][C]0.135129[/C][C]0.0675643[/C][/ROW]
[ROW][C]210[/C][C]0.920094[/C][C]0.159812[/C][C]0.079906[/C][/ROW]
[ROW][C]211[/C][C]0.906173[/C][C]0.187655[/C][C]0.0938274[/C][/ROW]
[ROW][C]212[/C][C]0.89571[/C][C]0.20858[/C][C]0.10429[/C][/ROW]
[ROW][C]213[/C][C]0.875822[/C][C]0.248356[/C][C]0.124178[/C][/ROW]
[ROW][C]214[/C][C]0.85327[/C][C]0.293459[/C][C]0.14673[/C][/ROW]
[ROW][C]215[/C][C]0.887942[/C][C]0.224116[/C][C]0.112058[/C][/ROW]
[ROW][C]216[/C][C]0.891902[/C][C]0.216197[/C][C]0.108098[/C][/ROW]
[ROW][C]217[/C][C]0.877339[/C][C]0.245322[/C][C]0.122661[/C][/ROW]
[ROW][C]218[/C][C]0.866718[/C][C]0.266565[/C][C]0.133282[/C][/ROW]
[ROW][C]219[/C][C]0.863401[/C][C]0.273199[/C][C]0.136599[/C][/ROW]
[ROW][C]220[/C][C]0.83892[/C][C]0.322159[/C][C]0.16108[/C][/ROW]
[ROW][C]221[/C][C]0.820536[/C][C]0.358928[/C][C]0.179464[/C][/ROW]
[ROW][C]222[/C][C]0.79508[/C][C]0.409839[/C][C]0.20492[/C][/ROW]
[ROW][C]223[/C][C]0.803297[/C][C]0.393406[/C][C]0.196703[/C][/ROW]
[ROW][C]224[/C][C]0.775666[/C][C]0.448668[/C][C]0.224334[/C][/ROW]
[ROW][C]225[/C][C]0.786326[/C][C]0.427349[/C][C]0.213674[/C][/ROW]
[ROW][C]226[/C][C]0.753918[/C][C]0.492165[/C][C]0.246082[/C][/ROW]
[ROW][C]227[/C][C]0.724519[/C][C]0.550963[/C][C]0.275481[/C][/ROW]
[ROW][C]228[/C][C]0.723229[/C][C]0.553543[/C][C]0.276771[/C][/ROW]
[ROW][C]229[/C][C]0.890007[/C][C]0.219986[/C][C]0.109993[/C][/ROW]
[ROW][C]230[/C][C]0.867164[/C][C]0.265671[/C][C]0.132836[/C][/ROW]
[ROW][C]231[/C][C]0.85421[/C][C]0.29158[/C][C]0.14579[/C][/ROW]
[ROW][C]232[/C][C]0.835541[/C][C]0.328918[/C][C]0.164459[/C][/ROW]
[ROW][C]233[/C][C]0.807794[/C][C]0.384413[/C][C]0.192206[/C][/ROW]
[ROW][C]234[/C][C]0.779984[/C][C]0.440032[/C][C]0.220016[/C][/ROW]
[ROW][C]235[/C][C]0.755189[/C][C]0.489622[/C][C]0.244811[/C][/ROW]
[ROW][C]236[/C][C]0.843551[/C][C]0.312898[/C][C]0.156449[/C][/ROW]
[ROW][C]237[/C][C]0.853069[/C][C]0.293862[/C][C]0.146931[/C][/ROW]
[ROW][C]238[/C][C]0.885396[/C][C]0.229207[/C][C]0.114604[/C][/ROW]
[ROW][C]239[/C][C]0.889532[/C][C]0.220935[/C][C]0.110468[/C][/ROW]
[ROW][C]240[/C][C]0.863101[/C][C]0.273798[/C][C]0.136899[/C][/ROW]
[ROW][C]241[/C][C]0.832617[/C][C]0.334766[/C][C]0.167383[/C][/ROW]
[ROW][C]242[/C][C]0.802423[/C][C]0.395155[/C][C]0.197577[/C][/ROW]
[ROW][C]243[/C][C]0.947601[/C][C]0.104797[/C][C]0.0523987[/C][/ROW]
[ROW][C]244[/C][C]0.936147[/C][C]0.127705[/C][C]0.0638527[/C][/ROW]
[ROW][C]245[/C][C]0.920315[/C][C]0.159369[/C][C]0.0796846[/C][/ROW]
[ROW][C]246[/C][C]0.897119[/C][C]0.205761[/C][C]0.102881[/C][/ROW]
[ROW][C]247[/C][C]0.874662[/C][C]0.250675[/C][C]0.125338[/C][/ROW]
[ROW][C]248[/C][C]0.865908[/C][C]0.268183[/C][C]0.134092[/C][/ROW]
[ROW][C]249[/C][C]0.845337[/C][C]0.309326[/C][C]0.154663[/C][/ROW]
[ROW][C]250[/C][C]0.829038[/C][C]0.341923[/C][C]0.170962[/C][/ROW]
[ROW][C]251[/C][C]0.851018[/C][C]0.297964[/C][C]0.148982[/C][/ROW]
[ROW][C]252[/C][C]0.868542[/C][C]0.262916[/C][C]0.131458[/C][/ROW]
[ROW][C]253[/C][C]0.843125[/C][C]0.313749[/C][C]0.156875[/C][/ROW]
[ROW][C]254[/C][C]0.817615[/C][C]0.364769[/C][C]0.182385[/C][/ROW]
[ROW][C]255[/C][C]0.81537[/C][C]0.36926[/C][C]0.18463[/C][/ROW]
[ROW][C]256[/C][C]0.837151[/C][C]0.325697[/C][C]0.162849[/C][/ROW]
[ROW][C]257[/C][C]0.82551[/C][C]0.34898[/C][C]0.17449[/C][/ROW]
[ROW][C]258[/C][C]0.797033[/C][C]0.405934[/C][C]0.202967[/C][/ROW]
[ROW][C]259[/C][C]0.807793[/C][C]0.384414[/C][C]0.192207[/C][/ROW]
[ROW][C]260[/C][C]0.761645[/C][C]0.476711[/C][C]0.238355[/C][/ROW]
[ROW][C]261[/C][C]0.723798[/C][C]0.552404[/C][C]0.276202[/C][/ROW]
[ROW][C]262[/C][C]0.66027[/C][C]0.679459[/C][C]0.33973[/C][/ROW]
[ROW][C]263[/C][C]0.784107[/C][C]0.431785[/C][C]0.215893[/C][/ROW]
[ROW][C]264[/C][C]0.721845[/C][C]0.55631[/C][C]0.278155[/C][/ROW]
[ROW][C]265[/C][C]0.844591[/C][C]0.310818[/C][C]0.155409[/C][/ROW]
[ROW][C]266[/C][C]0.80487[/C][C]0.390259[/C][C]0.19513[/C][/ROW]
[ROW][C]267[/C][C]0.76057[/C][C]0.478859[/C][C]0.23943[/C][/ROW]
[ROW][C]268[/C][C]0.784274[/C][C]0.431452[/C][C]0.215726[/C][/ROW]
[ROW][C]269[/C][C]0.756519[/C][C]0.486961[/C][C]0.243481[/C][/ROW]
[ROW][C]270[/C][C]0.911718[/C][C]0.176564[/C][C]0.0882821[/C][/ROW]
[ROW][C]271[/C][C]0.86827[/C][C]0.263461[/C][C]0.13173[/C][/ROW]
[ROW][C]272[/C][C]0.787937[/C][C]0.424127[/C][C]0.212063[/C][/ROW]
[ROW][C]273[/C][C]0.658651[/C][C]0.682697[/C][C]0.341349[/C][/ROW]
[ROW][C]274[/C][C]0.603806[/C][C]0.792388[/C][C]0.396194[/C][/ROW]
[ROW][C]275[/C][C]0.600157[/C][C]0.799686[/C][C]0.399843[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264924&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264924&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
12	0.616997	0.766005	0.383003
13	0.762692	0.474616	0.237308
14	0.662194	0.675612	0.337806
15	0.541403	0.917195	0.458597
16	0.628085	0.743831	0.371915
17	0.523212	0.953577	0.476788
18	0.428223	0.856446	0.571777
19	0.373595	0.747191	0.626405
20	0.291005	0.58201	0.708995
21	0.2199	0.4398	0.7801
22	0.281056	0.562112	0.718944
23	0.371886	0.743771	0.628114
24	0.311555	0.62311	0.688445
25	0.276249	0.552498	0.723751
26	0.230824	0.461648	0.769176
27	0.202933	0.405866	0.797067
28	0.26211	0.524221	0.73789
29	0.20849	0.41698	0.79151
30	0.196718	0.393436	0.803282
31	0.155918	0.311835	0.844082
32	0.134647	0.269295	0.865353
33	0.107834	0.215669	0.892166
34	0.18084	0.361681	0.81916
35	0.157039	0.314077	0.842961
36	0.131394	0.262788	0.868606
37	0.106186	0.212371	0.893814
38	0.0875319	0.175064	0.912468
39	0.0709538	0.141908	0.929046
40	0.053317	0.106634	0.946683
41	0.0443327	0.0886654	0.955667
42	0.0341506	0.0683013	0.965849
43	0.0564454	0.112891	0.943555
44	0.0439327	0.0878654	0.956067
45	0.0413588	0.0827175	0.958641
46	0.0321694	0.0643387	0.967831
47	0.0236644	0.0473288	0.976336
48	0.0183877	0.0367753	0.981612
49	0.014435	0.02887	0.985565
50	0.0238557	0.0477114	0.976144
51	0.0204366	0.0408731	0.979563
52	0.01523	0.03046	0.98477
53	0.0112375	0.0224751	0.988762
54	0.0160846	0.0321691	0.983915
55	0.0123307	0.0246614	0.987669
56	0.00946077	0.0189215	0.990539
57	0.0107286	0.0214572	0.989271
58	0.0087866	0.0175732	0.991213
59	0.0247432	0.0494864	0.975257
60	0.0309997	0.0619994	0.969
61	0.0291324	0.0582647	0.970868
62	0.0250812	0.0501623	0.974919
63	0.0238791	0.0477582	0.976121
64	0.0196153	0.0392306	0.980385
65	0.0243514	0.0487027	0.975649
66	0.0369604	0.0739208	0.96304
67	0.0351136	0.0702272	0.964886
68	0.0319302	0.0638604	0.96807
69	0.0286312	0.0572623	0.971369
70	0.0246875	0.0493751	0.975312
71	0.0341135	0.0682271	0.965886
72	0.0296632	0.0593264	0.970337
73	0.0251717	0.0503434	0.974828
74	0.0217736	0.0435472	0.978226
75	0.0217703	0.0435405	0.97823
76	0.0240127	0.0480254	0.975987
77	0.0347963	0.0695925	0.965204
78	0.0302944	0.0605887	0.969706
79	0.0249558	0.0499115	0.975044
80	0.0200742	0.0401484	0.979926
81	0.0184672	0.0369345	0.981533
82	0.0151266	0.0302532	0.984873
83	0.0167205	0.0334409	0.98328
84	0.014079	0.028158	0.985921
85	0.0121631	0.0243262	0.987837
86	0.0101332	0.0202664	0.989867
87	0.0267919	0.0535838	0.973208
88	0.0232502	0.0465005	0.97675
89	0.0187373	0.0374746	0.981263
90	0.01484	0.02968	0.98516
91	0.012629	0.0252579	0.987371
92	0.0151972	0.0303945	0.984803
93	0.0159052	0.0318105	0.984095
94	0.0140454	0.0280908	0.985955
95	0.0224659	0.0449317	0.977534
96	0.018058	0.0361159	0.981942
97	0.0183496	0.0366991	0.98165
98	0.0182227	0.0364454	0.981777
99	0.0174562	0.0349124	0.982544
100	0.0217683	0.0435367	0.978232
101	0.0182042	0.0364084	0.981796
102	0.018174	0.036348	0.981826
103	0.0200723	0.0401447	0.979928
104	0.0169552	0.0339105	0.983045
105	0.0168	0.0335999	0.9832
106	0.017578	0.0351559	0.982422
107	0.0146722	0.0293444	0.985328
108	0.0162283	0.0324566	0.983772
109	0.0186853	0.0373706	0.981315
110	0.0201308	0.0402617	0.979869
111	0.068345	0.13669	0.931655
112	0.1259	0.251799	0.8741
113	0.119961	0.239922	0.880039
114	0.114358	0.228715	0.885642
115	0.105368	0.210736	0.894632
116	0.232	0.464	0.768
117	0.234849	0.469698	0.765151
118	0.361493	0.722986	0.638507
119	0.442994	0.885987	0.557006
120	0.509061	0.981877	0.490939
121	0.494703	0.989406	0.505297
122	0.563322	0.873355	0.436678
123	0.658323	0.683354	0.341677
124	0.691585	0.616829	0.308415
125	0.676654	0.646691	0.323346
126	0.764847	0.470307	0.235153
127	0.758544	0.482912	0.241456
128	0.752849	0.494301	0.247151
129	0.735443	0.529114	0.264557
130	0.770474	0.459052	0.229526
131	0.756267	0.487465	0.243733
132	0.864873	0.270253	0.135127
133	0.852332	0.295337	0.147668
134	0.840393	0.319215	0.159607
135	0.839467	0.321067	0.160533
136	0.832511	0.334978	0.167489
137	0.832957	0.334085	0.167043
138	0.817802	0.364396	0.182198
139	0.80289	0.394221	0.19711
140	0.817842	0.364315	0.182158
141	0.856684	0.286633	0.143316
142	0.883229	0.233541	0.116771
143	0.88148	0.237039	0.11852
144	0.873114	0.253772	0.126886
145	0.893683	0.212634	0.106317
146	0.8991	0.2018	0.1009
147	0.911618	0.176765	0.0883823
148	0.908187	0.183626	0.091813
149	0.906006	0.187987	0.0939936
150	0.913413	0.173174	0.0865872
151	0.903108	0.193784	0.0968922
152	0.896866	0.206268	0.103134
153	0.884191	0.231618	0.115809
154	0.87482	0.25036	0.12518
155	0.885028	0.229944	0.114972
156	0.896716	0.206569	0.103284
157	0.887281	0.225438	0.112719
158	0.9137	0.1726	0.0862998
159	0.919169	0.161663	0.0808314
160	0.909642	0.180716	0.0903579
161	0.90409	0.19182	0.0959102
162	0.920531	0.158937	0.0794686
163	0.912069	0.175861	0.0879305
164	0.906528	0.186944	0.0934719
165	0.913204	0.173592	0.0867962
166	0.928528	0.142943	0.0714716
167	0.93249	0.135021	0.0675105
168	0.927884	0.144231	0.0721157
169	0.918802	0.162396	0.081198
170	0.935174	0.129651	0.0648256
171	0.927483	0.145034	0.072517
172	0.941556	0.116887	0.0584436
173	0.93165	0.1367	0.0683498
174	0.922096	0.155808	0.0779041
175	0.924715	0.150571	0.0752855
176	0.924709	0.150582	0.0752912
177	0.938885	0.12223	0.0611151
178	0.929212	0.141576	0.0707881
179	0.918523	0.162954	0.081477
180	0.90671	0.18658	0.0932898
181	0.937774	0.124453	0.0622263
182	0.925992	0.148016	0.074008
183	0.955159	0.0896823	0.0448412
184	0.95626	0.087481	0.0437405
185	0.981785	0.0364294	0.0182147
186	0.9776	0.0447999	0.0223999
187	0.972691	0.0546185	0.0273092
188	0.977913	0.0441738	0.0220869
189	0.975718	0.0485646	0.0242823
190	0.969827	0.0603451	0.0301725
191	0.966283	0.0674341	0.033717
192	0.967459	0.0650818	0.0325409
193	0.960854	0.0782923	0.0391462
194	0.957608	0.0847841	0.042392
195	0.952775	0.0944497	0.0472249
196	0.948212	0.103576	0.0517879
197	0.944594	0.110811	0.0554055
198	0.95057	0.0988604	0.0494302
199	0.963809	0.0723821	0.0361911
200	0.958784	0.0824311	0.0412156
201	0.950813	0.0983737	0.0491869
202	0.940483	0.119034	0.0595168
203	0.932036	0.135927	0.0679636
204	0.921644	0.156712	0.078356
205	0.915037	0.169927	0.0849634
206	0.957197	0.0856058	0.0428029
207	0.951603	0.0967947	0.0483974
208	0.94369	0.112619	0.0563097
209	0.932436	0.135129	0.0675643
210	0.920094	0.159812	0.079906
211	0.906173	0.187655	0.0938274
212	0.89571	0.20858	0.10429
213	0.875822	0.248356	0.124178
214	0.85327	0.293459	0.14673
215	0.887942	0.224116	0.112058
216	0.891902	0.216197	0.108098
217	0.877339	0.245322	0.122661
218	0.866718	0.266565	0.133282
219	0.863401	0.273199	0.136599
220	0.83892	0.322159	0.16108
221	0.820536	0.358928	0.179464
222	0.79508	0.409839	0.20492
223	0.803297	0.393406	0.196703
224	0.775666	0.448668	0.224334
225	0.786326	0.427349	0.213674
226	0.753918	0.492165	0.246082
227	0.724519	0.550963	0.275481
228	0.723229	0.553543	0.276771
229	0.890007	0.219986	0.109993
230	0.867164	0.265671	0.132836
231	0.85421	0.29158	0.14579
232	0.835541	0.328918	0.164459
233	0.807794	0.384413	0.192206
234	0.779984	0.440032	0.220016
235	0.755189	0.489622	0.244811
236	0.843551	0.312898	0.156449
237	0.853069	0.293862	0.146931
238	0.885396	0.229207	0.114604
239	0.889532	0.220935	0.110468
240	0.863101	0.273798	0.136899
241	0.832617	0.334766	0.167383
242	0.802423	0.395155	0.197577
243	0.947601	0.104797	0.0523987
244	0.936147	0.127705	0.0638527
245	0.920315	0.159369	0.0796846
246	0.897119	0.205761	0.102881
247	0.874662	0.250675	0.125338
248	0.865908	0.268183	0.134092
249	0.845337	0.309326	0.154663
250	0.829038	0.341923	0.170962
251	0.851018	0.297964	0.148982
252	0.868542	0.262916	0.131458
253	0.843125	0.313749	0.156875
254	0.817615	0.364769	0.182385
255	0.81537	0.36926	0.18463
256	0.837151	0.325697	0.162849
257	0.82551	0.34898	0.17449
258	0.797033	0.405934	0.202967
259	0.807793	0.384414	0.192207
260	0.761645	0.476711	0.238355
261	0.723798	0.552404	0.276202
262	0.66027	0.679459	0.33973
263	0.784107	0.431785	0.215893
264	0.721845	0.55631	0.278155
265	0.844591	0.310818	0.155409
266	0.80487	0.390259	0.19513
267	0.76057	0.478859	0.23943
268	0.784274	0.431452	0.215726
269	0.756519	0.486961	0.243481
270	0.911718	0.176564	0.0882821
271	0.86827	0.263461	0.13173
272	0.787937	0.424127	0.212063
273	0.658651	0.682697	0.341349
274	0.603806	0.792388	0.396194
275	0.600157	0.799686	0.399843

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	55	0.208333	NOK
10% type I error level	88	0.333333	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 & 0 & 0 & OK \tabularnewline
5% type I error level & 55 & 0.208333 & NOK \tabularnewline
10% type I error level & 88 & 0.333333 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264924&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]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]55[/C][C]0.208333[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]88[/C][C]0.333333[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264924&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264924&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	0	0	OK
5% type I error level	55	0.208333	NOK
10% type I error level	88	0.333333	NOK

Figure 1

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Figure 2

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Figure 3

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Figure 4

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Figure 5

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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):

Parameters (R input):

par1 = 9 ; 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$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), 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,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
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, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
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,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
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,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
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,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
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,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
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