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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationFri, 12 Dec 2014 13:32:26 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/12/t1418391175vns9ah0am6lie6f.htm/, Retrieved Thu, 16 May 2024 15:00:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266679, Retrieved Thu, 16 May 2024 15:00:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2014-12-10 19:53:13] [02fb6cbf799bcf1e525e4e01c2f27ada]
-   PD    [Multiple Regression] [] [2014-12-12 13:32:26] [ec71b09431fe59ba6fc828a3f51756a9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.00 0.50 0.67 0.67 0.00 0.50 1.5
1.00 0.60 1.00 0.67 0.50 1.00 1.8
0.89 0.50 0.83 0.33 0.50 1.00 2.1
0.89 0.40 1.00 0.67 0.00 1.00 2.1
0.89 0.50 0.83 0.00 0.00 0.00 1.9
0.89 0.70 0.67 0.00 1.00 1.00 1.6
0.78 0.30 0.00 0.00 0.50 0.50 2.1
0.89 0.40 0.83 0.67 0.50 0.00 2.1
1.00 0.40 0.50 0.67 1.00 1.00 2.2
0.89 0.70 0.83 0.00 0.50 0.00 1.5
0.78 0.60 0.33 0.67 0.50 0.50 1.9
1.00 0.60 0.50 1.00 0.00 0.50 2.2
0.78 0.20 0.67 0.00 0.50 0.50 1.6
0.89 0.40 1.00 0.00 0.50 0.50 1.5
0.89 0.40 0.50 0.67 0.00 1.00 1.9
0.89 0.50 0.67 0.33 0.00 0.00 0.1
0.89 0.30 0.17 0.67 0.00 0.50 2.2
0.89 0.40 0.83 0.33 0.50 0.50 1.8
0.67 0.70 0.67 0.33 0.50 1.00 1.6
1.00 0.50 0.67 0.33 0.00 1.00 2.2
0.78 0.20 0.67 0.00 0.00 1.00 2.1
0.78 0.30 0.50 0.67 0.00 0.50 1.9
0.89 0.60 1.00 0.33 0.00 1.00 1.6
0.78 0.60 0.83 0.33 0.00 1.00 1.9
0.89 0.20 0.83 0.33 0.00 1.00 2.2
0.89 0.70 1.00 0.67 1.00 0.00 1.8
0.33 0.20 0.67 0.00 0.00 0.00 2.4
1.00 1.00 1.00 0.33 1.00 1.00 2.4
0.89 0.40 0.83 0.67 0.00 0.50 2.5
0.89 0.40 1.00 1.00 0.00 1.00 1.9
0.67 0.20 0.83 0.67 0.00 0.50 2.1
0.56 0.40 0.67 0.33 0.00 1.00 1.9
0.89 0.40 0.67 0.00 0.50 1.00 2.1
0.89 0.60 1.00 0.67 0.50 1.00 1.9
0.89 0.70 1.00 0.67 0.50 0.50 1.5
1.00 0.20 0.67 0.67 0.00 0.50 1.9
0.78 0.60 1.00 1.00 0.00 0.50 2.1
0.78 0.30 1.00 1.00 0.50 0.50 1.5
0.33 0.30 0.50 0.33 0.00 0.00 2.1
0.78 0.20 0.67 0.00 0.50 0.00 2.1
0.89 0.50 0.83 0.67 0.50 0.50 1.8
0.89 0.70 1.00 0.67 0.50 1.00 2.4
0.78 0.60 1.00 0.67 0.50 0.50 2.1
0.89 0.40 1.00 0.67 0.50 1.00 1.9
0.89 0.60 1.00 0.33 0.50 1.00 2.1
1.00 0.40 1.00 1.00 0.00 1.00 1.9
0.67 0.30 0.83 0.67 0.00 1.00 2.4
1.00 0.50 0.83 0.67 0.50 0.50 2.1
0.89 0.20 0.50 0.00 0.00 1.00 2.2
0.89 0.30 0.83 0.00 0.50 1.00 2.2
0.89 0.50 0.17 0.00 0.00 1.00 1.8
0.78 0.70 0.83 1.00 0.50 1.00 2.1
0.89 0.40 1.00 0.67 1.00 0.50 2.4
0.78 0.30 1.00 0.00 0.00 0.50 2.2
0.78 0.20 0.67 0.67 1.00 1.00 2.1
1.00 0.50 1.00 0.00 0.00 0.50 1.5
0.78 0.40 1.00 0.00 0.50 0.00 1.9
1.00 0.60 1.00 0.67 1.00 1.00 1.8
0.78 0.40 0.83 1.00 0.00 1.00 1.8
0.67 0.40 0.33 0.00 0.00 0.50 1.6
0.33 0.20 0.33 0.33 0.00 0.00 1.2
1.00 0.90 1.00 0.67 0.50 1.00 1.8
1.00 0.80 1.00 0.67 1.00 0.50 1.5
0.78 0.80 0.83 0.00 0.50 1.00 2.1
0.67 0.30 1.00 1.00 0.50 1.00 2.4
1.00 0.20 0.83 0.67 0.00 0.50 2.4
0.89 0.40 0.67 0.00 0.50 1.00 1.5
0.89 0.20 0.83 1.00 0.00 1.00 1.8
0.78 0.20 0.67 0.67 0.50 1.00 2.1
1.00 0.10 0.83 0.67 0.00 1.00 2.2
0.56 0.40 0.67 1.00 0.50 0.00 2.1
0.67 0.50 1.00 0.00 0.50 0.50 1.9
0.89 0.80 0.83 0.33 0.50 1.00 2.1
0.89 0.40 0.67 0.67 0.00 0.50 1.9
0.89 0.60 0.83 0.33 0.50 0.50 1.6
0.89 0.50 0.83 0.67 0.50 1.00 2.4
1.00 0.60 1.00 0.67 0.50 1.00 1.9
0.78 0.30 0.67 0.00 0.00 0.00 1.9
0.89 0.80 1.00 1.00 0.50 1.00 1.9
1.00 0.40 0.33 0.00 0.50 0.00 2.1
1.00 0.60 0.83 0.67 0.50 0.50 1.8
0.89 0.40 1.00 0.33 0.00 0.50 2.1
0.44 0.30 0.83 0.00 0.00 0.00 2.4
0.78 0.80 0.83 0.00 1.00 1.00 2.1
0.89 0.60 0.50 0.33 1.00 1.00 2.2
0.67 0.30 0.50 0.00 0.00 0.00 2.1
0.78 0.50 0.83 0.67 0.50 1.00 2.2
0.78 0.40 1.00 0.33 0.00 1.00 1.6
0.33 0.30 0.33 0.67 0.00 0.00 2.4
0.89 0.70 1.00 0.33 0.00 0.50 2.1
0.89 0.20 0.67 0.33 0.50 0.50 1.9
0.89 0.40 0.83 1.00 0.00 1.00 2.4
0.89 0.60 1.00 0.67 0.50 0.50 2.1
0.56 0.60 0.83 0.00 0.00 1.00 1.8
0.67 0.60 0.83 0.67 0.50 0.50 2.1
0.67 0.40 1.00 0.33 0.50 1.00 1.8
0.78 0.60 0.83 0.00 0.00 1.00 1.9
0.78 0.50 1.00 0.33 0.50 1.00 1.9
0.78 0.50 0.83 0.00 0.00 1.00 2.4
0.89 0.60 0.67 0.00 0.00 1.00 1.8
1.00 0.80 0.83 0.33 0.50 1.00 1.8
0.89 0.50 0.83 0.67 1.00 0.50 2.1
0.89 0.60 0.83 0.67 0.50 1.00 2.1
0.78 0.40 0.83 0.67 0.50 1.00 2.4
1.00 0.30 0.67 0.67 0.50 1.00 1.9
0.78 0.30 0.83 1.00 0.00 0.50 1.8
0.67 0.20 0.00 0.00 0.00 0.00 1.8
0.78 0.40 0.83 0.00 0.00 0.50 2.2
0.89 0.50 1.00 0.00 0.00 0.50 2.4
0.67 0.30 0.17 0.00 0.50 0.00 1.8
0.22 0.40 0.17 0.00 0.50 0.00 2.4
0.44 0.50 0.50 1.00 0.00 0.00 1.8
0.89 0.30 0.50 0.67 0.00 1.00 1.9
0.67 0.50 1.00 0.00 0.00 0.50 2.4
0.89 0.40 0.67 0.67 0.00 0.50 2.1
0.67 0.40 0.83 0.67 0.00 1.00 1.9
0.78 0.60 1.00 0.00 1.00 1.00 2.1
0.78 0.30 1.00 0.67 1.00 1.00 2.7
0.78 0.40 1.00 0.33 1.00 0.50 2.1
1.00 0.30 1.00 1.00 1.00 1.00 2.1
0.78 1.00 1.00 1.00 1.00 1.00 2.1
0.67 0.40 1.00 0.00 0.00 0.50 2.1
0.89 0.80 0.83 1.00 0.50 1.00 2.1
0.89 0.30 1.00 0.67 1.00 1.00 2.1
1.00 0.50 0.83 0.67 0.00 1.00 2.1
0.78 0.40 1.00 0.00 0.00 0.50 2.1
0.67 0.30 0.83 0.67 0.00 1.00 2.4
0.89 0.50 0.83 1.00 0.00 1.00 1.95
0.67 0.30 1.00 0.67 0.00 1.00 2.1
0.67 0.30 0.67 0.00 0.00 1.00 2.1
1.00 0.40 0.83 0.00 0.00 1.00 1.95
0.67 0.30 1.00 0.00 0.00 0.50 2.1
1.00 0.60 1.00 0.33 0.50 0.50 2.4
0.89 0.60 0.83 0.67 1.00 1.00 2.1
0.89 0.40 1.00 1.00 1.00 1.00 2.25
1.00 0.40 1.00 0.00 0.00 0.00 2.4
0.67 0.40 1.00 0.67 0.00 0.50 2.25
0.44 0.30 0.67 0.67 0.50 1.00 2.55
0.89 0.20 1.00 0.33 1.00 0.00 1.95
0.56 0.50 0.83 0.67 0.00 1.00 2.4
0.78 0.40 1.00 0.67 1.00 1.00 2.1
1.00 0.40 1.00 0.67 0.00 0.00 2.1
1.00 0.40 0.83 0.67 0.00 1.00 2.4
0.89 0.30 0.67 0.67 0.50 0.50 2.1
0.67 0.40 0.83 0.67 1.00 0.50 2.1
0.89 0.20 1.00 0.33 0.50 1.00 2.25
0.33 0.00 0.00 0.00 0.00 0.00 2.25
0.89 0.40 1.00 0.67 0.50 1.00 2.4
0.78 0.30 0.67 0.00 0.00 0.00 2.1
0.78 0.60 1.00 0.00 1.00 1.00 2.1
1.00 0.40 0.67 0.67 0.00 0.50 2.4
0.44 0.40 1.00 0.00 0.00 0.50 2.1
0.78 0.20 0.67 0.00 0.00 0.00 1.95
0.67 0.40 0.83 0.00 0.50 0.00 2.1
0.33 0.20 0.17 0.00 0.50 0.00 2.25
0.89 0.40 0.83 1.00 1.00 1.00 2.25
0.89 0.30 0.83 0.00 0.00 0.50 2.4
1.00 0.60 0.83 0.67 1.00 0.00 2.25
0.89 0.60 0.83 1.00 0.00 1.00 2.25
0.89 0.40 0.83 0.00 0.00 1.00 2.1
1.00 0.50 1.00 0.67 1.00 0.50 2.1
0.89 0.40 0.83 0.00 0.50 1.00 2.1
1.00 0.60 1.00 1.00 1.00 1.00 2.7
0.78 0.60 0.83 0.67 0.50 1.00 2.1
0.78 0.90 1.00 0.67 0.50 1.00 2.1
0.67 0.40 0.83 0.67 0.50 0.00 2.25
0.89 0.80 1.00 1.00 0.50 1.00 2.7
0.67 0.50 0.83 1.00 0.00 1.00 2.4
0.78 0.40 0.83 1.00 0.00 0.00 2.1
0.89 0.40 1.00 0.67 1.00 0.50 2.1
0.89 0.70 1.00 1.00 1.00 0.50 2.4
0.78 0.40 1.00 0.33 1.00 1.00 1.95
1.00 0.80 1.00 0.67 0.50 1.00 2.7
1.00 0.40 1.00 1.00 1.00 0.50 2.1
1.00 0.30 1.00 0.67 0.00 0.50 2.25
0.67 0.50 1.00 0.67 0.50 1.00 2.1
0.89 0.80 1.00 0.67 1.00 1.00 2.7
1.00 0.40 0.83 0.33 0.00 0.50 2.1
1.00 1.00 1.00 1.00 0.50 0.00 2.1
0.89 0.50 1.00 0.67 1.00 1.00 1.65
0.89 0.50 1.00 0.67 1.00 1.00 1.65
0.89 0.30 1.00 0.33 0.00 1.00 2.1
0.89 0.30 0.83 0.33 0.50 1.00 2.1
0.89 0.30 0.50 0.00 0.00 1.00 2.1
1.00 0.40 0.67 0.33 0.50 0.50 2.1
0.67 0.50 1.00 0.33 0.00 1.00 2.1
1.00 0.50 0.67 0.67 0.50 1.00 2.4
0.89 0.40 1.00 0.00 0.00 0.00 2.4
0.89 0.70 1.00 1.00 0.50 0.00 2.1
0.89 0.50 0.50 0.33 0.00 0.50 2.25
0.89 0.40 0.67 0.33 1.00 0.00 2.4
1.00 0.70 0.67 1.00 0.00 1.00 2.1
1.00 0.70 0.67 1.00 0.00 1.00 2.1
1.00 0.70 0.67 1.00 0.00 1.00 2.4
0.89 0.70 0.67 1.00 0.00 1.00 2.4
0.89 0.70 0.67 0.00 0.00 0.00 2.1
0.89 0.70 1.00 0.67 0.50 1.00 2.1
0.33 0.10 0.67 0.33 0.50 0.00 2.4
0.67 0.20 0.67 0.67 0.50 1.00 2.1
0.56 0.30 0.33 0.33 0.00 1.00 2.7
0.44 0.60 0.83 0.33 0.00 0.50 2.1
1.00 0.80 1.00 1.00 1.00 1.00 2.1
0.89 0.80 1.00 0.33 0.50 0.50 2.25
0.33 0.00 0.17 0.00 0.00 0.00 2.1
0.67 0.30 0.67 0.33 0.00 1.00 2.4
0.67 0.60 0.83 0.33 0.50 1.00 2.25
1.00 0.50 0.83 0.67 0.00 1.00 2.25
0.78 0.70 1.00 0.33 0.00 0.50 2.1
0.67 0.30 0.83 0.00 0.50 1.00 2.1
1.00 0.30 1.00 0.67 0.00 0.00 2.4
0.78 0.40 1.00 0.67 0.00 0.50 2.25
0.89 0.40 0.83 1.00 0.00 1.00 2.1
0.89 0.10 0.83 0.00 0.00 1.00 2.1
0.89 0.50 1.00 0.67 0.00 1.00 1.65
0.78 0.30 0.67 0.33 0.00 0.50 1.65
0.00 0.00 0.00 0.00 0.00 0.00 2.7
0.67 0.40 1.00 0.33 0.50 0.00 2.1
1.00 0.60 0.83 0.67 1.00 0.50 1.95
1.00 0.40 1.00 0.33 0.50 1.00 2.25
0.67 0.10 0.33 0.00 0.50 1.00 2.4
0.89 0.30 0.83 0.00 0.00 1.00 1.95
0.89 0.70 0.83 0.67 0.00 1.00 2.1
0.56 0.30 0.17 0.00 0.00 1.00 2.4
0.67 0.50 0.83 0.33 0.50 0.00 2.1
0.67 0.30 0.67 0.33 0.00 0.00 2.1
1.00 0.30 0.83 0.67 1.00 1.00 2.4
1.00 0.60 0.67 0.67 0.50 1.00 2.4
1.00 0.90 1.00 1.00 0.00 1.00 2.4
0.67 0.40 0.83 0.00 0.50 1.00 2.25
0.44 0.30 1.00 0.00 0.50 0.50 2.4
0.89 0.90 1.00 0.67 1.00 1.00 2.1
0.44 0.50 1.00 0.00 0.50 0.00 2.1
0.56 0.30 1.00 1.00 0.50 0.50 1.8
0.89 0.60 0.83 0.67 0.00 0.50 2.7
0.67 0.20 1.00 0.33 0.00 0.50 2.1
0.89 0.40 0.83 1.00 0.50 1.00 2.1
1.00 0.50 0.83 0.67 0.50 0.50 2.4
0.78 0.40 0.83 0.67 0.00 0.50 2.55
0.44 0.00 0.00 0.00 0.00 0.00 2.55
0.89 0.20 1.00 0.33 0.50 1.00 2.1
0.89 0.50 1.00 0.67 0.50 1.00 2.1
0.89 0.30 1.00 0.67 0.00 0.50 2.1
0.44 0.00 0.00 0.00 0.00 0.00 2.25
1.00 0.50 0.83 1.00 0.00 1.00 2.25
0.89 0.60 0.83 0.33 0.00 1.00 2.1
0.67 0.30 0.83 0.00 0.50 0.50 2.1
0.33 0.00 0.00 0.00 0.00 0.00 1.95
0.78 0.30 0.67 0.00 0.50 0.00 2.4
0.89 0.50 1.00 0.67 0.50 1.00 2.1
0.78 0.40 0.67 0.00 0.00 1.00 2.4
0.78 0.50 0.83 0.67 0.00 0.50 2.4
0.89 0.70 1.00 1.00 1.00 0.50 2.4
0.89 0.40 0.83 1.00 0.50 1.00 2.25
0.78 0.80 1.00 0.67 0.50 1.00 1.95
0.78 0.60 1.00 0.33 0.50 1.00 2.1
0.67 0.40 0.83 0.33 0.00 0.50 2.1
0.89 0.50 0.83 0.33 0.50 0.00 2.55
0.89 0.50 1.00 0.00 0.50 1.00 2.1
0.78 0.30 1.00 0.33 0.00 1.00 2.1
1.00 0.60 1.00 0.00 0.50 1.00 2.1
1.00 0.30 0.67 0.67 0.00 0.50 1.95
0.78 0.60 0.83 1.00 0.50 0.50 2.25
0.78 0.30 0.33 0.33 0.00 1.00 2.4
0.89 0.70 1.00 0.67 1.00 1.00 1.95
0.89 0.70 1.00 1.00 0.00 1.00 2.1
0.67 0.60 0.67 1.00 0.50 1.00 2.1
1.00 0.50 1.00 0.33 0.50 0.00 1.95
0.67 0.50 0.83 0.33 0.00 0.50 2.1
0.56 0.40 0.67 0.00 0.00 1.00 2.1
0.78 0.40 1.00 0.33 1.00 1.00 1.95
1.00 0.70 1.00 1.00 0.00 1.00 2.1
0.67 0.20 0.17 0.00 0.50 0.00 1.95
0.78 0.50 0.83 0.67 0.00 0.50 2.4
0.56 0.40 0.83 0.67 0.50 0.00 2.4
1.00 0.20 1.00 0.67 1.00 1.00 2.4
0.89 0.50 0.67 0.67 0.00 0.00 1.95
0.44 0.40 0.50 0.00 0.00 1.00 2.7
1.00 0.70 0.67 1.00 1.00 1.00 2.1
0.89 0.60 0.83 0.67 1.00 0.00 1.95
0.78 0.40 0.83 0.00 0.00 0.00 2.1
0.89 0.50 1.00 0.67 1.00 1.00 1.95
0.11 0.00 0.17 0.00 0.00 0.00 2.1
0.89 0.70 1.00 0.67 0.50 1.00 2.25
0.89 0.40 0.67 0.67 0.00 1.00 2.7
1.00 0.50 0.67 1.00 0.00 1.00 2.1
0.89 0.60 0.83 0.67 0.00 0.50 2.4
1.00 0.80 0.50 0.67 0.50 0.50 1.35

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 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=266679&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=266679&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266679&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
PA[t] = + 2.25939 -0.27913Calculation[t] -0.150656Algebraic_Reasoning[t] + 0.0379318Graphical_Interpretation[t] + 0.110076Proportionality_and_Ratio[t] + 0.00111472Probability_and_Sampling[t] + 0.0844898Estimation[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
PA[t] =  +  2.25939 -0.27913Calculation[t] -0.150656Algebraic_Reasoning[t] +  0.0379318Graphical_Interpretation[t] +  0.110076Proportionality_and_Ratio[t] +  0.00111472Probability_and_Sampling[t] +  0.0844898Estimation[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266679&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]PA[t] =  +  2.25939 -0.27913Calculation[t] -0.150656Algebraic_Reasoning[t] +  0.0379318Graphical_Interpretation[t] +  0.110076Proportionality_and_Ratio[t] +  0.00111472Probability_and_Sampling[t] +  0.0844898Estimation[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266679&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266679&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
PA[t] = + 2.25939 -0.27913Calculation[t] -0.150656Algebraic_Reasoning[t] + 0.0379318Graphical_Interpretation[t] + 0.110076Proportionality_and_Ratio[t] + 0.00111472Probability_and_Sampling[t] + 0.0844898Estimation[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)2.259390.082109527.521.34485e-816.72427e-82
Calculation-0.279130.113973-2.4490.01493480.00746742
Algebraic_Reasoning-0.1506560.104251-1.4450.1495410.0747704
Graphical_Interpretation0.03793180.08418570.45060.6526460.326323
Proportionality_and_Ratio0.1100760.05280442.0850.03801230.0190061
Probability_and_Sampling0.001114720.04861040.022930.9817210.490861
Estimation0.08448980.04669191.810.0714430.0357215

\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) & 2.25939 & 0.0821095 & 27.52 & 1.34485e-81 & 6.72427e-82 \tabularnewline
Calculation & -0.27913 & 0.113973 & -2.449 & 0.0149348 & 0.00746742 \tabularnewline
Algebraic_Reasoning & -0.150656 & 0.104251 & -1.445 & 0.149541 & 0.0747704 \tabularnewline
Graphical_Interpretation & 0.0379318 & 0.0841857 & 0.4506 & 0.652646 & 0.326323 \tabularnewline
Proportionality_and_Ratio & 0.110076 & 0.0528044 & 2.085 & 0.0380123 & 0.0190061 \tabularnewline
Probability_and_Sampling & 0.00111472 & 0.0486104 & 0.02293 & 0.981721 & 0.490861 \tabularnewline
Estimation & 0.0844898 & 0.0466919 & 1.81 & 0.071443 & 0.0357215 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266679&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]2.25939[/C][C]0.0821095[/C][C]27.52[/C][C]1.34485e-81[/C][C]6.72427e-82[/C][/ROW]
[ROW][C]Calculation[/C][C]-0.27913[/C][C]0.113973[/C][C]-2.449[/C][C]0.0149348[/C][C]0.00746742[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]-0.150656[/C][C]0.104251[/C][C]-1.445[/C][C]0.149541[/C][C]0.0747704[/C][/ROW]
[ROW][C]Graphical_Interpretation[/C][C]0.0379318[/C][C]0.0841857[/C][C]0.4506[/C][C]0.652646[/C][C]0.326323[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[/C][C]0.110076[/C][C]0.0528044[/C][C]2.085[/C][C]0.0380123[/C][C]0.0190061[/C][/ROW]
[ROW][C]Probability_and_Sampling[/C][C]0.00111472[/C][C]0.0486104[/C][C]0.02293[/C][C]0.981721[/C][C]0.490861[/C][/ROW]
[ROW][C]Estimation[/C][C]0.0844898[/C][C]0.0466919[/C][C]1.81[/C][C]0.071443[/C][C]0.0357215[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266679&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266679&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)2.259390.082109527.521.34485e-816.72427e-82
Calculation-0.279130.113973-2.4490.01493480.00746742
Algebraic_Reasoning-0.1506560.104251-1.4450.1495410.0747704
Graphical_Interpretation0.03793180.08418570.45060.6526460.326323
Proportionality_and_Ratio0.1100760.05280442.0850.03801230.0190061
Probability_and_Sampling0.001114720.04861040.022930.9817210.490861
Estimation0.08448980.04669191.810.0714430.0357215






Multiple Linear Regression - Regression Statistics
Multiple R0.216708
R-squared0.0469624
Adjusted R-squared0.0265401
F-TEST (value)2.29957
F-TEST (DF numerator)6
F-TEST (DF denominator)280
p-value0.0349064
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.282855
Sum Squared Residuals22.4019

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.216708 \tabularnewline
R-squared & 0.0469624 \tabularnewline
Adjusted R-squared & 0.0265401 \tabularnewline
F-TEST (value) & 2.29957 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 280 \tabularnewline
p-value & 0.0349064 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.282855 \tabularnewline
Sum Squared Residuals & 22.4019 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266679&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.216708[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0469624[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0265401[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]2.29957[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]280[/C][/ROW]
[ROW][C]p-value[/C][C]0.0349064[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.282855[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]22.4019[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266679&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266679&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.216708
R-squared0.0469624
Adjusted R-squared0.0265401
F-TEST (value)2.29957
F-TEST (DF numerator)6
F-TEST (DF denominator)280
p-value0.0349064
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.282855
Sum Squared Residuals22.4019






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11.52.04634-0.54634
21.82.08659-0.286595
32.12.088490.0115097
42.12.14687-0.0468726
51.91.96712-0.0671181
61.62.01652-0.416522
72.12.039270.0607275
82.12.056490.0435082
92.22.098320.101683
101.51.93754-0.437544
111.92.08034-0.180344
122.22.061150.138849
131.62.07975-0.479752
141.52.03143-0.531434
151.92.12791-0.227907
160.11.99737-1.89737
172.22.088210.11179
181.82.06131-0.261311
191.62.1137-0.513699
202.22.051160.148841
212.12.12144-0.0214398
221.92.13143-0.231432
231.62.07932-0.479316
241.92.10357-0.203572
252.22.133130.0668704
261.82.0183-0.218301
272.42.162560.237441
282.41.989460.410536
292.52.098180.401821
301.92.1832-0.283198
312.12.18972-0.0897191
321.92.18904-0.289042
332.12.061160.0388383
341.92.1173-0.217299
351.52.05999-0.559988
361.92.09154-0.191537
372.12.14153-0.041526
381.52.18728-0.68728
392.12.17737-0.0773698
402.12.037510.0624926
411.82.08367-0.283671
422.42.102230.297767
432.12.10576-0.00575832
441.92.14743-0.24743
452.12.079870.0201269
461.92.15249-0.252493
472.42.21690.183102
482.12.052970.0470332
492.22.084290.115713
502.22.08230.117704
511.82.02657-0.226573
522.12.16281-0.0628143
532.42.105740.294258
542.22.076650.123353
552.12.19631-0.0963053
561.51.98511-0.485107
571.92.01989-0.119894
581.82.08715-0.287152
591.82.20745-0.407454
601.62.06687-0.466871
611.22.18599-0.985987
621.82.0414-0.241398
631.52.01478-0.514776
642.12.037670.0623271
652.42.260230.139771
662.42.097610.302394
671.52.06116-0.561162
681.82.20688-0.40688
692.12.19575-0.095748
702.22.154920.0450834
712.12.17886-0.0788607
721.92.07778-0.177777
732.12.043290.0567064
741.92.09211-0.19211
751.62.03118-0.43118
762.42.125920.274084
771.92.08659-0.186595
781.92.02188-0.121884
791.92.12349-0.223493
802.11.933070.166929
811.82.0379-0.237901
822.12.06720.032798
832.42.122860.277142
842.12.038230.0617697
852.22.061460.138535
862.12.046140.0538596
872.22.156620.0433796
881.62.14015-0.540151
892.42.208350.191653
902.12.022010.0779947
911.92.08537-0.185373
922.42.176750.223251
932.12.075050.024946
941.82.12866-0.328655
952.12.13001-0.0300143
961.82.17141-0.371413
971.92.06725-0.167247
981.92.12564-0.225643
992.42.082310.317688
1001.82.03047-0.230473
1011.82.01259-0.212589
1022.12.084230.0157715
1032.12.11085-0.0108505
1042.42.171690.228314
1051.92.11927-0.219274
1061.82.18027-0.380274
1071.82.04224-0.24224
1082.22.055130.144867
1092.42.015810.384189
1101.82.03418-0.23418
1112.42.144720.255277
1121.82.19029-0.390285
1131.92.14297-0.242972
1142.42.077220.32278
1152.12.092110.00788975
1161.92.20183-0.301833
1172.12.074810.0251902
1182.72.193760.506243
1192.12.099020.000978968
1202.12.16867-0.0686736
1212.12.12462-0.0246234
1222.12.092290.00771435
1232.12.11704-0.0170444
1242.12.16305-0.0630529
1252.12.094650.00534566
1262.12.061580.0384187
1272.42.21690.183102
1281.952.16168-0.211684
1292.12.22335-0.123347
1302.12.13708-0.0370786
1311.952.03597-0.0859691
1322.12.10735-0.00735121
1332.42.006920.393076
1342.12.11141-0.0114078
1352.252.184310.0656876
1362.41.957930.442072
1372.252.166040.0839636
1382.552.275590.274413
1391.952.0562-0.106203
1402.42.217470.182528
1412.12.17869-0.0786917
1422.12.031680.0683215
1432.42.109720.29028
1442.12.10773-0.00773317
1452.12.1607-0.0607027
1462.252.140140.109865
1472.252.167280.0827244
1482.42.147430.25257
1492.12.021880.0781155
1502.12.074810.0251902
1512.42.061410.338594
1522.12.15649-0.0564856
1531.952.03695-0.08695
1542.12.044150.0558503
1552.252.144150.10585
1562.252.177860.072136
1572.42.039490.360506
1582.251.996210.253786
1592.252.146620.103382
1602.12.066670.0333265
1612.12.059970.0400275
1622.12.067230.0327692
1632.72.123480.576523
1642.12.14155-0.0415548
1652.12.10281-0.00280655
1662.252.11790.1321
1672.72.123490.576507
1682.42.223090.176908
1692.12.12296-0.0229638
1702.12.10574-0.00574245
1712.42.096870.303129
1721.952.14127-0.191266
1732.72.056460.643537
1742.12.11136-0.0113631
1752.252.088990.161011
1762.12.19377-0.0937731
1772.72.087730.612275
1782.12.030050.0699508
1792.11.978170.121832
1801.652.13292-0.482922
1811.652.13292-0.482922
1822.12.12451-0.0245124
1832.12.11862-0.0186214
1842.12.069220.0307785
1852.12.024540.0754625
1862.12.15579-0.05579
1872.42.089140.310857
1882.41.988630.411368
1892.12.054070.0459315
1902.252.033170.216829
1912.42.013550.386446
1922.12.094780.00522085
1932.12.094780.00522085
1942.42.094780.305221
1952.42.125480.274517
1962.11.930920.169082
1972.12.10223-0.00223332
1982.42.214510.185493
1992.12.22645-0.126452
2002.72.191210.508789
2012.12.15623-0.0562311
2022.12.093350.00665421
2032.252.00750.242503
2042.12.17372-0.073724
2052.42.17340.226596
2062.252.134830.115167
2072.252.094650.155346
2082.12.052710.0472904
2092.12.14371-0.0437051
2102.42.046740.353256
2112.252.135330.114668
2122.12.17675-0.0767492
2132.12.11187-0.0118701
2141.652.13181-0.481807
2151.652.10045-0.450454
2162.72.259390.440611
2172.12.086920.0130769
2181.952.03846-0.0884586
2192.252.07930.1707
2202.42.154870.24513
2211.952.08174-0.131739
2222.12.095230.00477243
2232.42.148820.251183
2242.12.065410.0345908
2252.12.088910.0110862
2262.42.12590.2741
2272.42.074080.325923
2282.42.077170.322834
2292.252.128640.12136
2302.42.172110.227891
2312.12.072660.0273404
2322.12.099730.000267461
2331.82.24869-0.448689
2342.72.068050.631952
2352.12.15874-0.0587418
2362.12.17731-0.0773066
2372.42.052970.347033
2382.552.128880.421116
2392.552.136570.413429
2402.12.14014-0.0401354
2412.12.13236-0.0323644
2422.12.11969-0.0196933
2432.252.136570.113429
2442.252.130980.119021
2452.12.072870.0271326
2462.12.10146-0.00146017
2471.952.16728-0.217276
2482.42.022440.377558
2492.12.13236-0.0323644
2502.42.091310.308691
2512.42.113820.286182
2522.42.096870.303129
2532.252.177310.0726934
2541.952.11787-0.167872
2552.12.11058-0.0105775
2562.12.12216-0.0221623
2572.552.0040.546
2582.12.058610.0413863
2592.12.15522-0.0552168
2602.12.012840.0871562
2611.952.07647-0.126471
2622.252.135630.114365
2632.42.12980.270198
2641.952.10279-0.152791
2652.12.138-0.038001
2662.12.20252-0.102515
2671.951.97974-0.0297445
2682.12.1071-0.0070967
2692.12.15272-0.0527174
2701.952.14127-0.191266
2712.12.1073-0.00729663
2721.952.04925-0.0992459
2732.42.113820.286182
2742.42.14860.251395
2752.42.147410.252586
2761.952.0348-0.0847998
2772.72.179760.520235
2782.12.095890.00410614
2791.952.02692-0.076918
2802.12.012890.087112
2811.952.13292-0.182922
2822.12.23513-0.135133
2832.252.102230.147767
2842.72.134360.565645
2852.12.12491-0.0249103
2862.42.068050.331952
2871.351.99525-0.645253

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1.5 & 2.04634 & -0.54634 \tabularnewline
2 & 1.8 & 2.08659 & -0.286595 \tabularnewline
3 & 2.1 & 2.08849 & 0.0115097 \tabularnewline
4 & 2.1 & 2.14687 & -0.0468726 \tabularnewline
5 & 1.9 & 1.96712 & -0.0671181 \tabularnewline
6 & 1.6 & 2.01652 & -0.416522 \tabularnewline
7 & 2.1 & 2.03927 & 0.0607275 \tabularnewline
8 & 2.1 & 2.05649 & 0.0435082 \tabularnewline
9 & 2.2 & 2.09832 & 0.101683 \tabularnewline
10 & 1.5 & 1.93754 & -0.437544 \tabularnewline
11 & 1.9 & 2.08034 & -0.180344 \tabularnewline
12 & 2.2 & 2.06115 & 0.138849 \tabularnewline
13 & 1.6 & 2.07975 & -0.479752 \tabularnewline
14 & 1.5 & 2.03143 & -0.531434 \tabularnewline
15 & 1.9 & 2.12791 & -0.227907 \tabularnewline
16 & 0.1 & 1.99737 & -1.89737 \tabularnewline
17 & 2.2 & 2.08821 & 0.11179 \tabularnewline
18 & 1.8 & 2.06131 & -0.261311 \tabularnewline
19 & 1.6 & 2.1137 & -0.513699 \tabularnewline
20 & 2.2 & 2.05116 & 0.148841 \tabularnewline
21 & 2.1 & 2.12144 & -0.0214398 \tabularnewline
22 & 1.9 & 2.13143 & -0.231432 \tabularnewline
23 & 1.6 & 2.07932 & -0.479316 \tabularnewline
24 & 1.9 & 2.10357 & -0.203572 \tabularnewline
25 & 2.2 & 2.13313 & 0.0668704 \tabularnewline
26 & 1.8 & 2.0183 & -0.218301 \tabularnewline
27 & 2.4 & 2.16256 & 0.237441 \tabularnewline
28 & 2.4 & 1.98946 & 0.410536 \tabularnewline
29 & 2.5 & 2.09818 & 0.401821 \tabularnewline
30 & 1.9 & 2.1832 & -0.283198 \tabularnewline
31 & 2.1 & 2.18972 & -0.0897191 \tabularnewline
32 & 1.9 & 2.18904 & -0.289042 \tabularnewline
33 & 2.1 & 2.06116 & 0.0388383 \tabularnewline
34 & 1.9 & 2.1173 & -0.217299 \tabularnewline
35 & 1.5 & 2.05999 & -0.559988 \tabularnewline
36 & 1.9 & 2.09154 & -0.191537 \tabularnewline
37 & 2.1 & 2.14153 & -0.041526 \tabularnewline
38 & 1.5 & 2.18728 & -0.68728 \tabularnewline
39 & 2.1 & 2.17737 & -0.0773698 \tabularnewline
40 & 2.1 & 2.03751 & 0.0624926 \tabularnewline
41 & 1.8 & 2.08367 & -0.283671 \tabularnewline
42 & 2.4 & 2.10223 & 0.297767 \tabularnewline
43 & 2.1 & 2.10576 & -0.00575832 \tabularnewline
44 & 1.9 & 2.14743 & -0.24743 \tabularnewline
45 & 2.1 & 2.07987 & 0.0201269 \tabularnewline
46 & 1.9 & 2.15249 & -0.252493 \tabularnewline
47 & 2.4 & 2.2169 & 0.183102 \tabularnewline
48 & 2.1 & 2.05297 & 0.0470332 \tabularnewline
49 & 2.2 & 2.08429 & 0.115713 \tabularnewline
50 & 2.2 & 2.0823 & 0.117704 \tabularnewline
51 & 1.8 & 2.02657 & -0.226573 \tabularnewline
52 & 2.1 & 2.16281 & -0.0628143 \tabularnewline
53 & 2.4 & 2.10574 & 0.294258 \tabularnewline
54 & 2.2 & 2.07665 & 0.123353 \tabularnewline
55 & 2.1 & 2.19631 & -0.0963053 \tabularnewline
56 & 1.5 & 1.98511 & -0.485107 \tabularnewline
57 & 1.9 & 2.01989 & -0.119894 \tabularnewline
58 & 1.8 & 2.08715 & -0.287152 \tabularnewline
59 & 1.8 & 2.20745 & -0.407454 \tabularnewline
60 & 1.6 & 2.06687 & -0.466871 \tabularnewline
61 & 1.2 & 2.18599 & -0.985987 \tabularnewline
62 & 1.8 & 2.0414 & -0.241398 \tabularnewline
63 & 1.5 & 2.01478 & -0.514776 \tabularnewline
64 & 2.1 & 2.03767 & 0.0623271 \tabularnewline
65 & 2.4 & 2.26023 & 0.139771 \tabularnewline
66 & 2.4 & 2.09761 & 0.302394 \tabularnewline
67 & 1.5 & 2.06116 & -0.561162 \tabularnewline
68 & 1.8 & 2.20688 & -0.40688 \tabularnewline
69 & 2.1 & 2.19575 & -0.095748 \tabularnewline
70 & 2.2 & 2.15492 & 0.0450834 \tabularnewline
71 & 2.1 & 2.17886 & -0.0788607 \tabularnewline
72 & 1.9 & 2.07778 & -0.177777 \tabularnewline
73 & 2.1 & 2.04329 & 0.0567064 \tabularnewline
74 & 1.9 & 2.09211 & -0.19211 \tabularnewline
75 & 1.6 & 2.03118 & -0.43118 \tabularnewline
76 & 2.4 & 2.12592 & 0.274084 \tabularnewline
77 & 1.9 & 2.08659 & -0.186595 \tabularnewline
78 & 1.9 & 2.02188 & -0.121884 \tabularnewline
79 & 1.9 & 2.12349 & -0.223493 \tabularnewline
80 & 2.1 & 1.93307 & 0.166929 \tabularnewline
81 & 1.8 & 2.0379 & -0.237901 \tabularnewline
82 & 2.1 & 2.0672 & 0.032798 \tabularnewline
83 & 2.4 & 2.12286 & 0.277142 \tabularnewline
84 & 2.1 & 2.03823 & 0.0617697 \tabularnewline
85 & 2.2 & 2.06146 & 0.138535 \tabularnewline
86 & 2.1 & 2.04614 & 0.0538596 \tabularnewline
87 & 2.2 & 2.15662 & 0.0433796 \tabularnewline
88 & 1.6 & 2.14015 & -0.540151 \tabularnewline
89 & 2.4 & 2.20835 & 0.191653 \tabularnewline
90 & 2.1 & 2.02201 & 0.0779947 \tabularnewline
91 & 1.9 & 2.08537 & -0.185373 \tabularnewline
92 & 2.4 & 2.17675 & 0.223251 \tabularnewline
93 & 2.1 & 2.07505 & 0.024946 \tabularnewline
94 & 1.8 & 2.12866 & -0.328655 \tabularnewline
95 & 2.1 & 2.13001 & -0.0300143 \tabularnewline
96 & 1.8 & 2.17141 & -0.371413 \tabularnewline
97 & 1.9 & 2.06725 & -0.167247 \tabularnewline
98 & 1.9 & 2.12564 & -0.225643 \tabularnewline
99 & 2.4 & 2.08231 & 0.317688 \tabularnewline
100 & 1.8 & 2.03047 & -0.230473 \tabularnewline
101 & 1.8 & 2.01259 & -0.212589 \tabularnewline
102 & 2.1 & 2.08423 & 0.0157715 \tabularnewline
103 & 2.1 & 2.11085 & -0.0108505 \tabularnewline
104 & 2.4 & 2.17169 & 0.228314 \tabularnewline
105 & 1.9 & 2.11927 & -0.219274 \tabularnewline
106 & 1.8 & 2.18027 & -0.380274 \tabularnewline
107 & 1.8 & 2.04224 & -0.24224 \tabularnewline
108 & 2.2 & 2.05513 & 0.144867 \tabularnewline
109 & 2.4 & 2.01581 & 0.384189 \tabularnewline
110 & 1.8 & 2.03418 & -0.23418 \tabularnewline
111 & 2.4 & 2.14472 & 0.255277 \tabularnewline
112 & 1.8 & 2.19029 & -0.390285 \tabularnewline
113 & 1.9 & 2.14297 & -0.242972 \tabularnewline
114 & 2.4 & 2.07722 & 0.32278 \tabularnewline
115 & 2.1 & 2.09211 & 0.00788975 \tabularnewline
116 & 1.9 & 2.20183 & -0.301833 \tabularnewline
117 & 2.1 & 2.07481 & 0.0251902 \tabularnewline
118 & 2.7 & 2.19376 & 0.506243 \tabularnewline
119 & 2.1 & 2.09902 & 0.000978968 \tabularnewline
120 & 2.1 & 2.16867 & -0.0686736 \tabularnewline
121 & 2.1 & 2.12462 & -0.0246234 \tabularnewline
122 & 2.1 & 2.09229 & 0.00771435 \tabularnewline
123 & 2.1 & 2.11704 & -0.0170444 \tabularnewline
124 & 2.1 & 2.16305 & -0.0630529 \tabularnewline
125 & 2.1 & 2.09465 & 0.00534566 \tabularnewline
126 & 2.1 & 2.06158 & 0.0384187 \tabularnewline
127 & 2.4 & 2.2169 & 0.183102 \tabularnewline
128 & 1.95 & 2.16168 & -0.211684 \tabularnewline
129 & 2.1 & 2.22335 & -0.123347 \tabularnewline
130 & 2.1 & 2.13708 & -0.0370786 \tabularnewline
131 & 1.95 & 2.03597 & -0.0859691 \tabularnewline
132 & 2.1 & 2.10735 & -0.00735121 \tabularnewline
133 & 2.4 & 2.00692 & 0.393076 \tabularnewline
134 & 2.1 & 2.11141 & -0.0114078 \tabularnewline
135 & 2.25 & 2.18431 & 0.0656876 \tabularnewline
136 & 2.4 & 1.95793 & 0.442072 \tabularnewline
137 & 2.25 & 2.16604 & 0.0839636 \tabularnewline
138 & 2.55 & 2.27559 & 0.274413 \tabularnewline
139 & 1.95 & 2.0562 & -0.106203 \tabularnewline
140 & 2.4 & 2.21747 & 0.182528 \tabularnewline
141 & 2.1 & 2.17869 & -0.0786917 \tabularnewline
142 & 2.1 & 2.03168 & 0.0683215 \tabularnewline
143 & 2.4 & 2.10972 & 0.29028 \tabularnewline
144 & 2.1 & 2.10773 & -0.00773317 \tabularnewline
145 & 2.1 & 2.1607 & -0.0607027 \tabularnewline
146 & 2.25 & 2.14014 & 0.109865 \tabularnewline
147 & 2.25 & 2.16728 & 0.0827244 \tabularnewline
148 & 2.4 & 2.14743 & 0.25257 \tabularnewline
149 & 2.1 & 2.02188 & 0.0781155 \tabularnewline
150 & 2.1 & 2.07481 & 0.0251902 \tabularnewline
151 & 2.4 & 2.06141 & 0.338594 \tabularnewline
152 & 2.1 & 2.15649 & -0.0564856 \tabularnewline
153 & 1.95 & 2.03695 & -0.08695 \tabularnewline
154 & 2.1 & 2.04415 & 0.0558503 \tabularnewline
155 & 2.25 & 2.14415 & 0.10585 \tabularnewline
156 & 2.25 & 2.17786 & 0.072136 \tabularnewline
157 & 2.4 & 2.03949 & 0.360506 \tabularnewline
158 & 2.25 & 1.99621 & 0.253786 \tabularnewline
159 & 2.25 & 2.14662 & 0.103382 \tabularnewline
160 & 2.1 & 2.06667 & 0.0333265 \tabularnewline
161 & 2.1 & 2.05997 & 0.0400275 \tabularnewline
162 & 2.1 & 2.06723 & 0.0327692 \tabularnewline
163 & 2.7 & 2.12348 & 0.576523 \tabularnewline
164 & 2.1 & 2.14155 & -0.0415548 \tabularnewline
165 & 2.1 & 2.10281 & -0.00280655 \tabularnewline
166 & 2.25 & 2.1179 & 0.1321 \tabularnewline
167 & 2.7 & 2.12349 & 0.576507 \tabularnewline
168 & 2.4 & 2.22309 & 0.176908 \tabularnewline
169 & 2.1 & 2.12296 & -0.0229638 \tabularnewline
170 & 2.1 & 2.10574 & -0.00574245 \tabularnewline
171 & 2.4 & 2.09687 & 0.303129 \tabularnewline
172 & 1.95 & 2.14127 & -0.191266 \tabularnewline
173 & 2.7 & 2.05646 & 0.643537 \tabularnewline
174 & 2.1 & 2.11136 & -0.0113631 \tabularnewline
175 & 2.25 & 2.08899 & 0.161011 \tabularnewline
176 & 2.1 & 2.19377 & -0.0937731 \tabularnewline
177 & 2.7 & 2.08773 & 0.612275 \tabularnewline
178 & 2.1 & 2.03005 & 0.0699508 \tabularnewline
179 & 2.1 & 1.97817 & 0.121832 \tabularnewline
180 & 1.65 & 2.13292 & -0.482922 \tabularnewline
181 & 1.65 & 2.13292 & -0.482922 \tabularnewline
182 & 2.1 & 2.12451 & -0.0245124 \tabularnewline
183 & 2.1 & 2.11862 & -0.0186214 \tabularnewline
184 & 2.1 & 2.06922 & 0.0307785 \tabularnewline
185 & 2.1 & 2.02454 & 0.0754625 \tabularnewline
186 & 2.1 & 2.15579 & -0.05579 \tabularnewline
187 & 2.4 & 2.08914 & 0.310857 \tabularnewline
188 & 2.4 & 1.98863 & 0.411368 \tabularnewline
189 & 2.1 & 2.05407 & 0.0459315 \tabularnewline
190 & 2.25 & 2.03317 & 0.216829 \tabularnewline
191 & 2.4 & 2.01355 & 0.386446 \tabularnewline
192 & 2.1 & 2.09478 & 0.00522085 \tabularnewline
193 & 2.1 & 2.09478 & 0.00522085 \tabularnewline
194 & 2.4 & 2.09478 & 0.305221 \tabularnewline
195 & 2.4 & 2.12548 & 0.274517 \tabularnewline
196 & 2.1 & 1.93092 & 0.169082 \tabularnewline
197 & 2.1 & 2.10223 & -0.00223332 \tabularnewline
198 & 2.4 & 2.21451 & 0.185493 \tabularnewline
199 & 2.1 & 2.22645 & -0.126452 \tabularnewline
200 & 2.7 & 2.19121 & 0.508789 \tabularnewline
201 & 2.1 & 2.15623 & -0.0562311 \tabularnewline
202 & 2.1 & 2.09335 & 0.00665421 \tabularnewline
203 & 2.25 & 2.0075 & 0.242503 \tabularnewline
204 & 2.1 & 2.17372 & -0.073724 \tabularnewline
205 & 2.4 & 2.1734 & 0.226596 \tabularnewline
206 & 2.25 & 2.13483 & 0.115167 \tabularnewline
207 & 2.25 & 2.09465 & 0.155346 \tabularnewline
208 & 2.1 & 2.05271 & 0.0472904 \tabularnewline
209 & 2.1 & 2.14371 & -0.0437051 \tabularnewline
210 & 2.4 & 2.04674 & 0.353256 \tabularnewline
211 & 2.25 & 2.13533 & 0.114668 \tabularnewline
212 & 2.1 & 2.17675 & -0.0767492 \tabularnewline
213 & 2.1 & 2.11187 & -0.0118701 \tabularnewline
214 & 1.65 & 2.13181 & -0.481807 \tabularnewline
215 & 1.65 & 2.10045 & -0.450454 \tabularnewline
216 & 2.7 & 2.25939 & 0.440611 \tabularnewline
217 & 2.1 & 2.08692 & 0.0130769 \tabularnewline
218 & 1.95 & 2.03846 & -0.0884586 \tabularnewline
219 & 2.25 & 2.0793 & 0.1707 \tabularnewline
220 & 2.4 & 2.15487 & 0.24513 \tabularnewline
221 & 1.95 & 2.08174 & -0.131739 \tabularnewline
222 & 2.1 & 2.09523 & 0.00477243 \tabularnewline
223 & 2.4 & 2.14882 & 0.251183 \tabularnewline
224 & 2.1 & 2.06541 & 0.0345908 \tabularnewline
225 & 2.1 & 2.08891 & 0.0110862 \tabularnewline
226 & 2.4 & 2.1259 & 0.2741 \tabularnewline
227 & 2.4 & 2.07408 & 0.325923 \tabularnewline
228 & 2.4 & 2.07717 & 0.322834 \tabularnewline
229 & 2.25 & 2.12864 & 0.12136 \tabularnewline
230 & 2.4 & 2.17211 & 0.227891 \tabularnewline
231 & 2.1 & 2.07266 & 0.0273404 \tabularnewline
232 & 2.1 & 2.09973 & 0.000267461 \tabularnewline
233 & 1.8 & 2.24869 & -0.448689 \tabularnewline
234 & 2.7 & 2.06805 & 0.631952 \tabularnewline
235 & 2.1 & 2.15874 & -0.0587418 \tabularnewline
236 & 2.1 & 2.17731 & -0.0773066 \tabularnewline
237 & 2.4 & 2.05297 & 0.347033 \tabularnewline
238 & 2.55 & 2.12888 & 0.421116 \tabularnewline
239 & 2.55 & 2.13657 & 0.413429 \tabularnewline
240 & 2.1 & 2.14014 & -0.0401354 \tabularnewline
241 & 2.1 & 2.13236 & -0.0323644 \tabularnewline
242 & 2.1 & 2.11969 & -0.0196933 \tabularnewline
243 & 2.25 & 2.13657 & 0.113429 \tabularnewline
244 & 2.25 & 2.13098 & 0.119021 \tabularnewline
245 & 2.1 & 2.07287 & 0.0271326 \tabularnewline
246 & 2.1 & 2.10146 & -0.00146017 \tabularnewline
247 & 1.95 & 2.16728 & -0.217276 \tabularnewline
248 & 2.4 & 2.02244 & 0.377558 \tabularnewline
249 & 2.1 & 2.13236 & -0.0323644 \tabularnewline
250 & 2.4 & 2.09131 & 0.308691 \tabularnewline
251 & 2.4 & 2.11382 & 0.286182 \tabularnewline
252 & 2.4 & 2.09687 & 0.303129 \tabularnewline
253 & 2.25 & 2.17731 & 0.0726934 \tabularnewline
254 & 1.95 & 2.11787 & -0.167872 \tabularnewline
255 & 2.1 & 2.11058 & -0.0105775 \tabularnewline
256 & 2.1 & 2.12216 & -0.0221623 \tabularnewline
257 & 2.55 & 2.004 & 0.546 \tabularnewline
258 & 2.1 & 2.05861 & 0.0413863 \tabularnewline
259 & 2.1 & 2.15522 & -0.0552168 \tabularnewline
260 & 2.1 & 2.01284 & 0.0871562 \tabularnewline
261 & 1.95 & 2.07647 & -0.126471 \tabularnewline
262 & 2.25 & 2.13563 & 0.114365 \tabularnewline
263 & 2.4 & 2.1298 & 0.270198 \tabularnewline
264 & 1.95 & 2.10279 & -0.152791 \tabularnewline
265 & 2.1 & 2.138 & -0.038001 \tabularnewline
266 & 2.1 & 2.20252 & -0.102515 \tabularnewline
267 & 1.95 & 1.97974 & -0.0297445 \tabularnewline
268 & 2.1 & 2.1071 & -0.0070967 \tabularnewline
269 & 2.1 & 2.15272 & -0.0527174 \tabularnewline
270 & 1.95 & 2.14127 & -0.191266 \tabularnewline
271 & 2.1 & 2.1073 & -0.00729663 \tabularnewline
272 & 1.95 & 2.04925 & -0.0992459 \tabularnewline
273 & 2.4 & 2.11382 & 0.286182 \tabularnewline
274 & 2.4 & 2.1486 & 0.251395 \tabularnewline
275 & 2.4 & 2.14741 & 0.252586 \tabularnewline
276 & 1.95 & 2.0348 & -0.0847998 \tabularnewline
277 & 2.7 & 2.17976 & 0.520235 \tabularnewline
278 & 2.1 & 2.09589 & 0.00410614 \tabularnewline
279 & 1.95 & 2.02692 & -0.076918 \tabularnewline
280 & 2.1 & 2.01289 & 0.087112 \tabularnewline
281 & 1.95 & 2.13292 & -0.182922 \tabularnewline
282 & 2.1 & 2.23513 & -0.135133 \tabularnewline
283 & 2.25 & 2.10223 & 0.147767 \tabularnewline
284 & 2.7 & 2.13436 & 0.565645 \tabularnewline
285 & 2.1 & 2.12491 & -0.0249103 \tabularnewline
286 & 2.4 & 2.06805 & 0.331952 \tabularnewline
287 & 1.35 & 1.99525 & -0.645253 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266679&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]1.5[/C][C]2.04634[/C][C]-0.54634[/C][/ROW]
[ROW][C]2[/C][C]1.8[/C][C]2.08659[/C][C]-0.286595[/C][/ROW]
[ROW][C]3[/C][C]2.1[/C][C]2.08849[/C][C]0.0115097[/C][/ROW]
[ROW][C]4[/C][C]2.1[/C][C]2.14687[/C][C]-0.0468726[/C][/ROW]
[ROW][C]5[/C][C]1.9[/C][C]1.96712[/C][C]-0.0671181[/C][/ROW]
[ROW][C]6[/C][C]1.6[/C][C]2.01652[/C][C]-0.416522[/C][/ROW]
[ROW][C]7[/C][C]2.1[/C][C]2.03927[/C][C]0.0607275[/C][/ROW]
[ROW][C]8[/C][C]2.1[/C][C]2.05649[/C][C]0.0435082[/C][/ROW]
[ROW][C]9[/C][C]2.2[/C][C]2.09832[/C][C]0.101683[/C][/ROW]
[ROW][C]10[/C][C]1.5[/C][C]1.93754[/C][C]-0.437544[/C][/ROW]
[ROW][C]11[/C][C]1.9[/C][C]2.08034[/C][C]-0.180344[/C][/ROW]
[ROW][C]12[/C][C]2.2[/C][C]2.06115[/C][C]0.138849[/C][/ROW]
[ROW][C]13[/C][C]1.6[/C][C]2.07975[/C][C]-0.479752[/C][/ROW]
[ROW][C]14[/C][C]1.5[/C][C]2.03143[/C][C]-0.531434[/C][/ROW]
[ROW][C]15[/C][C]1.9[/C][C]2.12791[/C][C]-0.227907[/C][/ROW]
[ROW][C]16[/C][C]0.1[/C][C]1.99737[/C][C]-1.89737[/C][/ROW]
[ROW][C]17[/C][C]2.2[/C][C]2.08821[/C][C]0.11179[/C][/ROW]
[ROW][C]18[/C][C]1.8[/C][C]2.06131[/C][C]-0.261311[/C][/ROW]
[ROW][C]19[/C][C]1.6[/C][C]2.1137[/C][C]-0.513699[/C][/ROW]
[ROW][C]20[/C][C]2.2[/C][C]2.05116[/C][C]0.148841[/C][/ROW]
[ROW][C]21[/C][C]2.1[/C][C]2.12144[/C][C]-0.0214398[/C][/ROW]
[ROW][C]22[/C][C]1.9[/C][C]2.13143[/C][C]-0.231432[/C][/ROW]
[ROW][C]23[/C][C]1.6[/C][C]2.07932[/C][C]-0.479316[/C][/ROW]
[ROW][C]24[/C][C]1.9[/C][C]2.10357[/C][C]-0.203572[/C][/ROW]
[ROW][C]25[/C][C]2.2[/C][C]2.13313[/C][C]0.0668704[/C][/ROW]
[ROW][C]26[/C][C]1.8[/C][C]2.0183[/C][C]-0.218301[/C][/ROW]
[ROW][C]27[/C][C]2.4[/C][C]2.16256[/C][C]0.237441[/C][/ROW]
[ROW][C]28[/C][C]2.4[/C][C]1.98946[/C][C]0.410536[/C][/ROW]
[ROW][C]29[/C][C]2.5[/C][C]2.09818[/C][C]0.401821[/C][/ROW]
[ROW][C]30[/C][C]1.9[/C][C]2.1832[/C][C]-0.283198[/C][/ROW]
[ROW][C]31[/C][C]2.1[/C][C]2.18972[/C][C]-0.0897191[/C][/ROW]
[ROW][C]32[/C][C]1.9[/C][C]2.18904[/C][C]-0.289042[/C][/ROW]
[ROW][C]33[/C][C]2.1[/C][C]2.06116[/C][C]0.0388383[/C][/ROW]
[ROW][C]34[/C][C]1.9[/C][C]2.1173[/C][C]-0.217299[/C][/ROW]
[ROW][C]35[/C][C]1.5[/C][C]2.05999[/C][C]-0.559988[/C][/ROW]
[ROW][C]36[/C][C]1.9[/C][C]2.09154[/C][C]-0.191537[/C][/ROW]
[ROW][C]37[/C][C]2.1[/C][C]2.14153[/C][C]-0.041526[/C][/ROW]
[ROW][C]38[/C][C]1.5[/C][C]2.18728[/C][C]-0.68728[/C][/ROW]
[ROW][C]39[/C][C]2.1[/C][C]2.17737[/C][C]-0.0773698[/C][/ROW]
[ROW][C]40[/C][C]2.1[/C][C]2.03751[/C][C]0.0624926[/C][/ROW]
[ROW][C]41[/C][C]1.8[/C][C]2.08367[/C][C]-0.283671[/C][/ROW]
[ROW][C]42[/C][C]2.4[/C][C]2.10223[/C][C]0.297767[/C][/ROW]
[ROW][C]43[/C][C]2.1[/C][C]2.10576[/C][C]-0.00575832[/C][/ROW]
[ROW][C]44[/C][C]1.9[/C][C]2.14743[/C][C]-0.24743[/C][/ROW]
[ROW][C]45[/C][C]2.1[/C][C]2.07987[/C][C]0.0201269[/C][/ROW]
[ROW][C]46[/C][C]1.9[/C][C]2.15249[/C][C]-0.252493[/C][/ROW]
[ROW][C]47[/C][C]2.4[/C][C]2.2169[/C][C]0.183102[/C][/ROW]
[ROW][C]48[/C][C]2.1[/C][C]2.05297[/C][C]0.0470332[/C][/ROW]
[ROW][C]49[/C][C]2.2[/C][C]2.08429[/C][C]0.115713[/C][/ROW]
[ROW][C]50[/C][C]2.2[/C][C]2.0823[/C][C]0.117704[/C][/ROW]
[ROW][C]51[/C][C]1.8[/C][C]2.02657[/C][C]-0.226573[/C][/ROW]
[ROW][C]52[/C][C]2.1[/C][C]2.16281[/C][C]-0.0628143[/C][/ROW]
[ROW][C]53[/C][C]2.4[/C][C]2.10574[/C][C]0.294258[/C][/ROW]
[ROW][C]54[/C][C]2.2[/C][C]2.07665[/C][C]0.123353[/C][/ROW]
[ROW][C]55[/C][C]2.1[/C][C]2.19631[/C][C]-0.0963053[/C][/ROW]
[ROW][C]56[/C][C]1.5[/C][C]1.98511[/C][C]-0.485107[/C][/ROW]
[ROW][C]57[/C][C]1.9[/C][C]2.01989[/C][C]-0.119894[/C][/ROW]
[ROW][C]58[/C][C]1.8[/C][C]2.08715[/C][C]-0.287152[/C][/ROW]
[ROW][C]59[/C][C]1.8[/C][C]2.20745[/C][C]-0.407454[/C][/ROW]
[ROW][C]60[/C][C]1.6[/C][C]2.06687[/C][C]-0.466871[/C][/ROW]
[ROW][C]61[/C][C]1.2[/C][C]2.18599[/C][C]-0.985987[/C][/ROW]
[ROW][C]62[/C][C]1.8[/C][C]2.0414[/C][C]-0.241398[/C][/ROW]
[ROW][C]63[/C][C]1.5[/C][C]2.01478[/C][C]-0.514776[/C][/ROW]
[ROW][C]64[/C][C]2.1[/C][C]2.03767[/C][C]0.0623271[/C][/ROW]
[ROW][C]65[/C][C]2.4[/C][C]2.26023[/C][C]0.139771[/C][/ROW]
[ROW][C]66[/C][C]2.4[/C][C]2.09761[/C][C]0.302394[/C][/ROW]
[ROW][C]67[/C][C]1.5[/C][C]2.06116[/C][C]-0.561162[/C][/ROW]
[ROW][C]68[/C][C]1.8[/C][C]2.20688[/C][C]-0.40688[/C][/ROW]
[ROW][C]69[/C][C]2.1[/C][C]2.19575[/C][C]-0.095748[/C][/ROW]
[ROW][C]70[/C][C]2.2[/C][C]2.15492[/C][C]0.0450834[/C][/ROW]
[ROW][C]71[/C][C]2.1[/C][C]2.17886[/C][C]-0.0788607[/C][/ROW]
[ROW][C]72[/C][C]1.9[/C][C]2.07778[/C][C]-0.177777[/C][/ROW]
[ROW][C]73[/C][C]2.1[/C][C]2.04329[/C][C]0.0567064[/C][/ROW]
[ROW][C]74[/C][C]1.9[/C][C]2.09211[/C][C]-0.19211[/C][/ROW]
[ROW][C]75[/C][C]1.6[/C][C]2.03118[/C][C]-0.43118[/C][/ROW]
[ROW][C]76[/C][C]2.4[/C][C]2.12592[/C][C]0.274084[/C][/ROW]
[ROW][C]77[/C][C]1.9[/C][C]2.08659[/C][C]-0.186595[/C][/ROW]
[ROW][C]78[/C][C]1.9[/C][C]2.02188[/C][C]-0.121884[/C][/ROW]
[ROW][C]79[/C][C]1.9[/C][C]2.12349[/C][C]-0.223493[/C][/ROW]
[ROW][C]80[/C][C]2.1[/C][C]1.93307[/C][C]0.166929[/C][/ROW]
[ROW][C]81[/C][C]1.8[/C][C]2.0379[/C][C]-0.237901[/C][/ROW]
[ROW][C]82[/C][C]2.1[/C][C]2.0672[/C][C]0.032798[/C][/ROW]
[ROW][C]83[/C][C]2.4[/C][C]2.12286[/C][C]0.277142[/C][/ROW]
[ROW][C]84[/C][C]2.1[/C][C]2.03823[/C][C]0.0617697[/C][/ROW]
[ROW][C]85[/C][C]2.2[/C][C]2.06146[/C][C]0.138535[/C][/ROW]
[ROW][C]86[/C][C]2.1[/C][C]2.04614[/C][C]0.0538596[/C][/ROW]
[ROW][C]87[/C][C]2.2[/C][C]2.15662[/C][C]0.0433796[/C][/ROW]
[ROW][C]88[/C][C]1.6[/C][C]2.14015[/C][C]-0.540151[/C][/ROW]
[ROW][C]89[/C][C]2.4[/C][C]2.20835[/C][C]0.191653[/C][/ROW]
[ROW][C]90[/C][C]2.1[/C][C]2.02201[/C][C]0.0779947[/C][/ROW]
[ROW][C]91[/C][C]1.9[/C][C]2.08537[/C][C]-0.185373[/C][/ROW]
[ROW][C]92[/C][C]2.4[/C][C]2.17675[/C][C]0.223251[/C][/ROW]
[ROW][C]93[/C][C]2.1[/C][C]2.07505[/C][C]0.024946[/C][/ROW]
[ROW][C]94[/C][C]1.8[/C][C]2.12866[/C][C]-0.328655[/C][/ROW]
[ROW][C]95[/C][C]2.1[/C][C]2.13001[/C][C]-0.0300143[/C][/ROW]
[ROW][C]96[/C][C]1.8[/C][C]2.17141[/C][C]-0.371413[/C][/ROW]
[ROW][C]97[/C][C]1.9[/C][C]2.06725[/C][C]-0.167247[/C][/ROW]
[ROW][C]98[/C][C]1.9[/C][C]2.12564[/C][C]-0.225643[/C][/ROW]
[ROW][C]99[/C][C]2.4[/C][C]2.08231[/C][C]0.317688[/C][/ROW]
[ROW][C]100[/C][C]1.8[/C][C]2.03047[/C][C]-0.230473[/C][/ROW]
[ROW][C]101[/C][C]1.8[/C][C]2.01259[/C][C]-0.212589[/C][/ROW]
[ROW][C]102[/C][C]2.1[/C][C]2.08423[/C][C]0.0157715[/C][/ROW]
[ROW][C]103[/C][C]2.1[/C][C]2.11085[/C][C]-0.0108505[/C][/ROW]
[ROW][C]104[/C][C]2.4[/C][C]2.17169[/C][C]0.228314[/C][/ROW]
[ROW][C]105[/C][C]1.9[/C][C]2.11927[/C][C]-0.219274[/C][/ROW]
[ROW][C]106[/C][C]1.8[/C][C]2.18027[/C][C]-0.380274[/C][/ROW]
[ROW][C]107[/C][C]1.8[/C][C]2.04224[/C][C]-0.24224[/C][/ROW]
[ROW][C]108[/C][C]2.2[/C][C]2.05513[/C][C]0.144867[/C][/ROW]
[ROW][C]109[/C][C]2.4[/C][C]2.01581[/C][C]0.384189[/C][/ROW]
[ROW][C]110[/C][C]1.8[/C][C]2.03418[/C][C]-0.23418[/C][/ROW]
[ROW][C]111[/C][C]2.4[/C][C]2.14472[/C][C]0.255277[/C][/ROW]
[ROW][C]112[/C][C]1.8[/C][C]2.19029[/C][C]-0.390285[/C][/ROW]
[ROW][C]113[/C][C]1.9[/C][C]2.14297[/C][C]-0.242972[/C][/ROW]
[ROW][C]114[/C][C]2.4[/C][C]2.07722[/C][C]0.32278[/C][/ROW]
[ROW][C]115[/C][C]2.1[/C][C]2.09211[/C][C]0.00788975[/C][/ROW]
[ROW][C]116[/C][C]1.9[/C][C]2.20183[/C][C]-0.301833[/C][/ROW]
[ROW][C]117[/C][C]2.1[/C][C]2.07481[/C][C]0.0251902[/C][/ROW]
[ROW][C]118[/C][C]2.7[/C][C]2.19376[/C][C]0.506243[/C][/ROW]
[ROW][C]119[/C][C]2.1[/C][C]2.09902[/C][C]0.000978968[/C][/ROW]
[ROW][C]120[/C][C]2.1[/C][C]2.16867[/C][C]-0.0686736[/C][/ROW]
[ROW][C]121[/C][C]2.1[/C][C]2.12462[/C][C]-0.0246234[/C][/ROW]
[ROW][C]122[/C][C]2.1[/C][C]2.09229[/C][C]0.00771435[/C][/ROW]
[ROW][C]123[/C][C]2.1[/C][C]2.11704[/C][C]-0.0170444[/C][/ROW]
[ROW][C]124[/C][C]2.1[/C][C]2.16305[/C][C]-0.0630529[/C][/ROW]
[ROW][C]125[/C][C]2.1[/C][C]2.09465[/C][C]0.00534566[/C][/ROW]
[ROW][C]126[/C][C]2.1[/C][C]2.06158[/C][C]0.0384187[/C][/ROW]
[ROW][C]127[/C][C]2.4[/C][C]2.2169[/C][C]0.183102[/C][/ROW]
[ROW][C]128[/C][C]1.95[/C][C]2.16168[/C][C]-0.211684[/C][/ROW]
[ROW][C]129[/C][C]2.1[/C][C]2.22335[/C][C]-0.123347[/C][/ROW]
[ROW][C]130[/C][C]2.1[/C][C]2.13708[/C][C]-0.0370786[/C][/ROW]
[ROW][C]131[/C][C]1.95[/C][C]2.03597[/C][C]-0.0859691[/C][/ROW]
[ROW][C]132[/C][C]2.1[/C][C]2.10735[/C][C]-0.00735121[/C][/ROW]
[ROW][C]133[/C][C]2.4[/C][C]2.00692[/C][C]0.393076[/C][/ROW]
[ROW][C]134[/C][C]2.1[/C][C]2.11141[/C][C]-0.0114078[/C][/ROW]
[ROW][C]135[/C][C]2.25[/C][C]2.18431[/C][C]0.0656876[/C][/ROW]
[ROW][C]136[/C][C]2.4[/C][C]1.95793[/C][C]0.442072[/C][/ROW]
[ROW][C]137[/C][C]2.25[/C][C]2.16604[/C][C]0.0839636[/C][/ROW]
[ROW][C]138[/C][C]2.55[/C][C]2.27559[/C][C]0.274413[/C][/ROW]
[ROW][C]139[/C][C]1.95[/C][C]2.0562[/C][C]-0.106203[/C][/ROW]
[ROW][C]140[/C][C]2.4[/C][C]2.21747[/C][C]0.182528[/C][/ROW]
[ROW][C]141[/C][C]2.1[/C][C]2.17869[/C][C]-0.0786917[/C][/ROW]
[ROW][C]142[/C][C]2.1[/C][C]2.03168[/C][C]0.0683215[/C][/ROW]
[ROW][C]143[/C][C]2.4[/C][C]2.10972[/C][C]0.29028[/C][/ROW]
[ROW][C]144[/C][C]2.1[/C][C]2.10773[/C][C]-0.00773317[/C][/ROW]
[ROW][C]145[/C][C]2.1[/C][C]2.1607[/C][C]-0.0607027[/C][/ROW]
[ROW][C]146[/C][C]2.25[/C][C]2.14014[/C][C]0.109865[/C][/ROW]
[ROW][C]147[/C][C]2.25[/C][C]2.16728[/C][C]0.0827244[/C][/ROW]
[ROW][C]148[/C][C]2.4[/C][C]2.14743[/C][C]0.25257[/C][/ROW]
[ROW][C]149[/C][C]2.1[/C][C]2.02188[/C][C]0.0781155[/C][/ROW]
[ROW][C]150[/C][C]2.1[/C][C]2.07481[/C][C]0.0251902[/C][/ROW]
[ROW][C]151[/C][C]2.4[/C][C]2.06141[/C][C]0.338594[/C][/ROW]
[ROW][C]152[/C][C]2.1[/C][C]2.15649[/C][C]-0.0564856[/C][/ROW]
[ROW][C]153[/C][C]1.95[/C][C]2.03695[/C][C]-0.08695[/C][/ROW]
[ROW][C]154[/C][C]2.1[/C][C]2.04415[/C][C]0.0558503[/C][/ROW]
[ROW][C]155[/C][C]2.25[/C][C]2.14415[/C][C]0.10585[/C][/ROW]
[ROW][C]156[/C][C]2.25[/C][C]2.17786[/C][C]0.072136[/C][/ROW]
[ROW][C]157[/C][C]2.4[/C][C]2.03949[/C][C]0.360506[/C][/ROW]
[ROW][C]158[/C][C]2.25[/C][C]1.99621[/C][C]0.253786[/C][/ROW]
[ROW][C]159[/C][C]2.25[/C][C]2.14662[/C][C]0.103382[/C][/ROW]
[ROW][C]160[/C][C]2.1[/C][C]2.06667[/C][C]0.0333265[/C][/ROW]
[ROW][C]161[/C][C]2.1[/C][C]2.05997[/C][C]0.0400275[/C][/ROW]
[ROW][C]162[/C][C]2.1[/C][C]2.06723[/C][C]0.0327692[/C][/ROW]
[ROW][C]163[/C][C]2.7[/C][C]2.12348[/C][C]0.576523[/C][/ROW]
[ROW][C]164[/C][C]2.1[/C][C]2.14155[/C][C]-0.0415548[/C][/ROW]
[ROW][C]165[/C][C]2.1[/C][C]2.10281[/C][C]-0.00280655[/C][/ROW]
[ROW][C]166[/C][C]2.25[/C][C]2.1179[/C][C]0.1321[/C][/ROW]
[ROW][C]167[/C][C]2.7[/C][C]2.12349[/C][C]0.576507[/C][/ROW]
[ROW][C]168[/C][C]2.4[/C][C]2.22309[/C][C]0.176908[/C][/ROW]
[ROW][C]169[/C][C]2.1[/C][C]2.12296[/C][C]-0.0229638[/C][/ROW]
[ROW][C]170[/C][C]2.1[/C][C]2.10574[/C][C]-0.00574245[/C][/ROW]
[ROW][C]171[/C][C]2.4[/C][C]2.09687[/C][C]0.303129[/C][/ROW]
[ROW][C]172[/C][C]1.95[/C][C]2.14127[/C][C]-0.191266[/C][/ROW]
[ROW][C]173[/C][C]2.7[/C][C]2.05646[/C][C]0.643537[/C][/ROW]
[ROW][C]174[/C][C]2.1[/C][C]2.11136[/C][C]-0.0113631[/C][/ROW]
[ROW][C]175[/C][C]2.25[/C][C]2.08899[/C][C]0.161011[/C][/ROW]
[ROW][C]176[/C][C]2.1[/C][C]2.19377[/C][C]-0.0937731[/C][/ROW]
[ROW][C]177[/C][C]2.7[/C][C]2.08773[/C][C]0.612275[/C][/ROW]
[ROW][C]178[/C][C]2.1[/C][C]2.03005[/C][C]0.0699508[/C][/ROW]
[ROW][C]179[/C][C]2.1[/C][C]1.97817[/C][C]0.121832[/C][/ROW]
[ROW][C]180[/C][C]1.65[/C][C]2.13292[/C][C]-0.482922[/C][/ROW]
[ROW][C]181[/C][C]1.65[/C][C]2.13292[/C][C]-0.482922[/C][/ROW]
[ROW][C]182[/C][C]2.1[/C][C]2.12451[/C][C]-0.0245124[/C][/ROW]
[ROW][C]183[/C][C]2.1[/C][C]2.11862[/C][C]-0.0186214[/C][/ROW]
[ROW][C]184[/C][C]2.1[/C][C]2.06922[/C][C]0.0307785[/C][/ROW]
[ROW][C]185[/C][C]2.1[/C][C]2.02454[/C][C]0.0754625[/C][/ROW]
[ROW][C]186[/C][C]2.1[/C][C]2.15579[/C][C]-0.05579[/C][/ROW]
[ROW][C]187[/C][C]2.4[/C][C]2.08914[/C][C]0.310857[/C][/ROW]
[ROW][C]188[/C][C]2.4[/C][C]1.98863[/C][C]0.411368[/C][/ROW]
[ROW][C]189[/C][C]2.1[/C][C]2.05407[/C][C]0.0459315[/C][/ROW]
[ROW][C]190[/C][C]2.25[/C][C]2.03317[/C][C]0.216829[/C][/ROW]
[ROW][C]191[/C][C]2.4[/C][C]2.01355[/C][C]0.386446[/C][/ROW]
[ROW][C]192[/C][C]2.1[/C][C]2.09478[/C][C]0.00522085[/C][/ROW]
[ROW][C]193[/C][C]2.1[/C][C]2.09478[/C][C]0.00522085[/C][/ROW]
[ROW][C]194[/C][C]2.4[/C][C]2.09478[/C][C]0.305221[/C][/ROW]
[ROW][C]195[/C][C]2.4[/C][C]2.12548[/C][C]0.274517[/C][/ROW]
[ROW][C]196[/C][C]2.1[/C][C]1.93092[/C][C]0.169082[/C][/ROW]
[ROW][C]197[/C][C]2.1[/C][C]2.10223[/C][C]-0.00223332[/C][/ROW]
[ROW][C]198[/C][C]2.4[/C][C]2.21451[/C][C]0.185493[/C][/ROW]
[ROW][C]199[/C][C]2.1[/C][C]2.22645[/C][C]-0.126452[/C][/ROW]
[ROW][C]200[/C][C]2.7[/C][C]2.19121[/C][C]0.508789[/C][/ROW]
[ROW][C]201[/C][C]2.1[/C][C]2.15623[/C][C]-0.0562311[/C][/ROW]
[ROW][C]202[/C][C]2.1[/C][C]2.09335[/C][C]0.00665421[/C][/ROW]
[ROW][C]203[/C][C]2.25[/C][C]2.0075[/C][C]0.242503[/C][/ROW]
[ROW][C]204[/C][C]2.1[/C][C]2.17372[/C][C]-0.073724[/C][/ROW]
[ROW][C]205[/C][C]2.4[/C][C]2.1734[/C][C]0.226596[/C][/ROW]
[ROW][C]206[/C][C]2.25[/C][C]2.13483[/C][C]0.115167[/C][/ROW]
[ROW][C]207[/C][C]2.25[/C][C]2.09465[/C][C]0.155346[/C][/ROW]
[ROW][C]208[/C][C]2.1[/C][C]2.05271[/C][C]0.0472904[/C][/ROW]
[ROW][C]209[/C][C]2.1[/C][C]2.14371[/C][C]-0.0437051[/C][/ROW]
[ROW][C]210[/C][C]2.4[/C][C]2.04674[/C][C]0.353256[/C][/ROW]
[ROW][C]211[/C][C]2.25[/C][C]2.13533[/C][C]0.114668[/C][/ROW]
[ROW][C]212[/C][C]2.1[/C][C]2.17675[/C][C]-0.0767492[/C][/ROW]
[ROW][C]213[/C][C]2.1[/C][C]2.11187[/C][C]-0.0118701[/C][/ROW]
[ROW][C]214[/C][C]1.65[/C][C]2.13181[/C][C]-0.481807[/C][/ROW]
[ROW][C]215[/C][C]1.65[/C][C]2.10045[/C][C]-0.450454[/C][/ROW]
[ROW][C]216[/C][C]2.7[/C][C]2.25939[/C][C]0.440611[/C][/ROW]
[ROW][C]217[/C][C]2.1[/C][C]2.08692[/C][C]0.0130769[/C][/ROW]
[ROW][C]218[/C][C]1.95[/C][C]2.03846[/C][C]-0.0884586[/C][/ROW]
[ROW][C]219[/C][C]2.25[/C][C]2.0793[/C][C]0.1707[/C][/ROW]
[ROW][C]220[/C][C]2.4[/C][C]2.15487[/C][C]0.24513[/C][/ROW]
[ROW][C]221[/C][C]1.95[/C][C]2.08174[/C][C]-0.131739[/C][/ROW]
[ROW][C]222[/C][C]2.1[/C][C]2.09523[/C][C]0.00477243[/C][/ROW]
[ROW][C]223[/C][C]2.4[/C][C]2.14882[/C][C]0.251183[/C][/ROW]
[ROW][C]224[/C][C]2.1[/C][C]2.06541[/C][C]0.0345908[/C][/ROW]
[ROW][C]225[/C][C]2.1[/C][C]2.08891[/C][C]0.0110862[/C][/ROW]
[ROW][C]226[/C][C]2.4[/C][C]2.1259[/C][C]0.2741[/C][/ROW]
[ROW][C]227[/C][C]2.4[/C][C]2.07408[/C][C]0.325923[/C][/ROW]
[ROW][C]228[/C][C]2.4[/C][C]2.07717[/C][C]0.322834[/C][/ROW]
[ROW][C]229[/C][C]2.25[/C][C]2.12864[/C][C]0.12136[/C][/ROW]
[ROW][C]230[/C][C]2.4[/C][C]2.17211[/C][C]0.227891[/C][/ROW]
[ROW][C]231[/C][C]2.1[/C][C]2.07266[/C][C]0.0273404[/C][/ROW]
[ROW][C]232[/C][C]2.1[/C][C]2.09973[/C][C]0.000267461[/C][/ROW]
[ROW][C]233[/C][C]1.8[/C][C]2.24869[/C][C]-0.448689[/C][/ROW]
[ROW][C]234[/C][C]2.7[/C][C]2.06805[/C][C]0.631952[/C][/ROW]
[ROW][C]235[/C][C]2.1[/C][C]2.15874[/C][C]-0.0587418[/C][/ROW]
[ROW][C]236[/C][C]2.1[/C][C]2.17731[/C][C]-0.0773066[/C][/ROW]
[ROW][C]237[/C][C]2.4[/C][C]2.05297[/C][C]0.347033[/C][/ROW]
[ROW][C]238[/C][C]2.55[/C][C]2.12888[/C][C]0.421116[/C][/ROW]
[ROW][C]239[/C][C]2.55[/C][C]2.13657[/C][C]0.413429[/C][/ROW]
[ROW][C]240[/C][C]2.1[/C][C]2.14014[/C][C]-0.0401354[/C][/ROW]
[ROW][C]241[/C][C]2.1[/C][C]2.13236[/C][C]-0.0323644[/C][/ROW]
[ROW][C]242[/C][C]2.1[/C][C]2.11969[/C][C]-0.0196933[/C][/ROW]
[ROW][C]243[/C][C]2.25[/C][C]2.13657[/C][C]0.113429[/C][/ROW]
[ROW][C]244[/C][C]2.25[/C][C]2.13098[/C][C]0.119021[/C][/ROW]
[ROW][C]245[/C][C]2.1[/C][C]2.07287[/C][C]0.0271326[/C][/ROW]
[ROW][C]246[/C][C]2.1[/C][C]2.10146[/C][C]-0.00146017[/C][/ROW]
[ROW][C]247[/C][C]1.95[/C][C]2.16728[/C][C]-0.217276[/C][/ROW]
[ROW][C]248[/C][C]2.4[/C][C]2.02244[/C][C]0.377558[/C][/ROW]
[ROW][C]249[/C][C]2.1[/C][C]2.13236[/C][C]-0.0323644[/C][/ROW]
[ROW][C]250[/C][C]2.4[/C][C]2.09131[/C][C]0.308691[/C][/ROW]
[ROW][C]251[/C][C]2.4[/C][C]2.11382[/C][C]0.286182[/C][/ROW]
[ROW][C]252[/C][C]2.4[/C][C]2.09687[/C][C]0.303129[/C][/ROW]
[ROW][C]253[/C][C]2.25[/C][C]2.17731[/C][C]0.0726934[/C][/ROW]
[ROW][C]254[/C][C]1.95[/C][C]2.11787[/C][C]-0.167872[/C][/ROW]
[ROW][C]255[/C][C]2.1[/C][C]2.11058[/C][C]-0.0105775[/C][/ROW]
[ROW][C]256[/C][C]2.1[/C][C]2.12216[/C][C]-0.0221623[/C][/ROW]
[ROW][C]257[/C][C]2.55[/C][C]2.004[/C][C]0.546[/C][/ROW]
[ROW][C]258[/C][C]2.1[/C][C]2.05861[/C][C]0.0413863[/C][/ROW]
[ROW][C]259[/C][C]2.1[/C][C]2.15522[/C][C]-0.0552168[/C][/ROW]
[ROW][C]260[/C][C]2.1[/C][C]2.01284[/C][C]0.0871562[/C][/ROW]
[ROW][C]261[/C][C]1.95[/C][C]2.07647[/C][C]-0.126471[/C][/ROW]
[ROW][C]262[/C][C]2.25[/C][C]2.13563[/C][C]0.114365[/C][/ROW]
[ROW][C]263[/C][C]2.4[/C][C]2.1298[/C][C]0.270198[/C][/ROW]
[ROW][C]264[/C][C]1.95[/C][C]2.10279[/C][C]-0.152791[/C][/ROW]
[ROW][C]265[/C][C]2.1[/C][C]2.138[/C][C]-0.038001[/C][/ROW]
[ROW][C]266[/C][C]2.1[/C][C]2.20252[/C][C]-0.102515[/C][/ROW]
[ROW][C]267[/C][C]1.95[/C][C]1.97974[/C][C]-0.0297445[/C][/ROW]
[ROW][C]268[/C][C]2.1[/C][C]2.1071[/C][C]-0.0070967[/C][/ROW]
[ROW][C]269[/C][C]2.1[/C][C]2.15272[/C][C]-0.0527174[/C][/ROW]
[ROW][C]270[/C][C]1.95[/C][C]2.14127[/C][C]-0.191266[/C][/ROW]
[ROW][C]271[/C][C]2.1[/C][C]2.1073[/C][C]-0.00729663[/C][/ROW]
[ROW][C]272[/C][C]1.95[/C][C]2.04925[/C][C]-0.0992459[/C][/ROW]
[ROW][C]273[/C][C]2.4[/C][C]2.11382[/C][C]0.286182[/C][/ROW]
[ROW][C]274[/C][C]2.4[/C][C]2.1486[/C][C]0.251395[/C][/ROW]
[ROW][C]275[/C][C]2.4[/C][C]2.14741[/C][C]0.252586[/C][/ROW]
[ROW][C]276[/C][C]1.95[/C][C]2.0348[/C][C]-0.0847998[/C][/ROW]
[ROW][C]277[/C][C]2.7[/C][C]2.17976[/C][C]0.520235[/C][/ROW]
[ROW][C]278[/C][C]2.1[/C][C]2.09589[/C][C]0.00410614[/C][/ROW]
[ROW][C]279[/C][C]1.95[/C][C]2.02692[/C][C]-0.076918[/C][/ROW]
[ROW][C]280[/C][C]2.1[/C][C]2.01289[/C][C]0.087112[/C][/ROW]
[ROW][C]281[/C][C]1.95[/C][C]2.13292[/C][C]-0.182922[/C][/ROW]
[ROW][C]282[/C][C]2.1[/C][C]2.23513[/C][C]-0.135133[/C][/ROW]
[ROW][C]283[/C][C]2.25[/C][C]2.10223[/C][C]0.147767[/C][/ROW]
[ROW][C]284[/C][C]2.7[/C][C]2.13436[/C][C]0.565645[/C][/ROW]
[ROW][C]285[/C][C]2.1[/C][C]2.12491[/C][C]-0.0249103[/C][/ROW]
[ROW][C]286[/C][C]2.4[/C][C]2.06805[/C][C]0.331952[/C][/ROW]
[ROW][C]287[/C][C]1.35[/C][C]1.99525[/C][C]-0.645253[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266679&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266679&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11.52.04634-0.54634
21.82.08659-0.286595
32.12.088490.0115097
42.12.14687-0.0468726
51.91.96712-0.0671181
61.62.01652-0.416522
72.12.039270.0607275
82.12.056490.0435082
92.22.098320.101683
101.51.93754-0.437544
111.92.08034-0.180344
122.22.061150.138849
131.62.07975-0.479752
141.52.03143-0.531434
151.92.12791-0.227907
160.11.99737-1.89737
172.22.088210.11179
181.82.06131-0.261311
191.62.1137-0.513699
202.22.051160.148841
212.12.12144-0.0214398
221.92.13143-0.231432
231.62.07932-0.479316
241.92.10357-0.203572
252.22.133130.0668704
261.82.0183-0.218301
272.42.162560.237441
282.41.989460.410536
292.52.098180.401821
301.92.1832-0.283198
312.12.18972-0.0897191
321.92.18904-0.289042
332.12.061160.0388383
341.92.1173-0.217299
351.52.05999-0.559988
361.92.09154-0.191537
372.12.14153-0.041526
381.52.18728-0.68728
392.12.17737-0.0773698
402.12.037510.0624926
411.82.08367-0.283671
422.42.102230.297767
432.12.10576-0.00575832
441.92.14743-0.24743
452.12.079870.0201269
461.92.15249-0.252493
472.42.21690.183102
482.12.052970.0470332
492.22.084290.115713
502.22.08230.117704
511.82.02657-0.226573
522.12.16281-0.0628143
532.42.105740.294258
542.22.076650.123353
552.12.19631-0.0963053
561.51.98511-0.485107
571.92.01989-0.119894
581.82.08715-0.287152
591.82.20745-0.407454
601.62.06687-0.466871
611.22.18599-0.985987
621.82.0414-0.241398
631.52.01478-0.514776
642.12.037670.0623271
652.42.260230.139771
662.42.097610.302394
671.52.06116-0.561162
681.82.20688-0.40688
692.12.19575-0.095748
702.22.154920.0450834
712.12.17886-0.0788607
721.92.07778-0.177777
732.12.043290.0567064
741.92.09211-0.19211
751.62.03118-0.43118
762.42.125920.274084
771.92.08659-0.186595
781.92.02188-0.121884
791.92.12349-0.223493
802.11.933070.166929
811.82.0379-0.237901
822.12.06720.032798
832.42.122860.277142
842.12.038230.0617697
852.22.061460.138535
862.12.046140.0538596
872.22.156620.0433796
881.62.14015-0.540151
892.42.208350.191653
902.12.022010.0779947
911.92.08537-0.185373
922.42.176750.223251
932.12.075050.024946
941.82.12866-0.328655
952.12.13001-0.0300143
961.82.17141-0.371413
971.92.06725-0.167247
981.92.12564-0.225643
992.42.082310.317688
1001.82.03047-0.230473
1011.82.01259-0.212589
1022.12.084230.0157715
1032.12.11085-0.0108505
1042.42.171690.228314
1051.92.11927-0.219274
1061.82.18027-0.380274
1071.82.04224-0.24224
1082.22.055130.144867
1092.42.015810.384189
1101.82.03418-0.23418
1112.42.144720.255277
1121.82.19029-0.390285
1131.92.14297-0.242972
1142.42.077220.32278
1152.12.092110.00788975
1161.92.20183-0.301833
1172.12.074810.0251902
1182.72.193760.506243
1192.12.099020.000978968
1202.12.16867-0.0686736
1212.12.12462-0.0246234
1222.12.092290.00771435
1232.12.11704-0.0170444
1242.12.16305-0.0630529
1252.12.094650.00534566
1262.12.061580.0384187
1272.42.21690.183102
1281.952.16168-0.211684
1292.12.22335-0.123347
1302.12.13708-0.0370786
1311.952.03597-0.0859691
1322.12.10735-0.00735121
1332.42.006920.393076
1342.12.11141-0.0114078
1352.252.184310.0656876
1362.41.957930.442072
1372.252.166040.0839636
1382.552.275590.274413
1391.952.0562-0.106203
1402.42.217470.182528
1412.12.17869-0.0786917
1422.12.031680.0683215
1432.42.109720.29028
1442.12.10773-0.00773317
1452.12.1607-0.0607027
1462.252.140140.109865
1472.252.167280.0827244
1482.42.147430.25257
1492.12.021880.0781155
1502.12.074810.0251902
1512.42.061410.338594
1522.12.15649-0.0564856
1531.952.03695-0.08695
1542.12.044150.0558503
1552.252.144150.10585
1562.252.177860.072136
1572.42.039490.360506
1582.251.996210.253786
1592.252.146620.103382
1602.12.066670.0333265
1612.12.059970.0400275
1622.12.067230.0327692
1632.72.123480.576523
1642.12.14155-0.0415548
1652.12.10281-0.00280655
1662.252.11790.1321
1672.72.123490.576507
1682.42.223090.176908
1692.12.12296-0.0229638
1702.12.10574-0.00574245
1712.42.096870.303129
1721.952.14127-0.191266
1732.72.056460.643537
1742.12.11136-0.0113631
1752.252.088990.161011
1762.12.19377-0.0937731
1772.72.087730.612275
1782.12.030050.0699508
1792.11.978170.121832
1801.652.13292-0.482922
1811.652.13292-0.482922
1822.12.12451-0.0245124
1832.12.11862-0.0186214
1842.12.069220.0307785
1852.12.024540.0754625
1862.12.15579-0.05579
1872.42.089140.310857
1882.41.988630.411368
1892.12.054070.0459315
1902.252.033170.216829
1912.42.013550.386446
1922.12.094780.00522085
1932.12.094780.00522085
1942.42.094780.305221
1952.42.125480.274517
1962.11.930920.169082
1972.12.10223-0.00223332
1982.42.214510.185493
1992.12.22645-0.126452
2002.72.191210.508789
2012.12.15623-0.0562311
2022.12.093350.00665421
2032.252.00750.242503
2042.12.17372-0.073724
2052.42.17340.226596
2062.252.134830.115167
2072.252.094650.155346
2082.12.052710.0472904
2092.12.14371-0.0437051
2102.42.046740.353256
2112.252.135330.114668
2122.12.17675-0.0767492
2132.12.11187-0.0118701
2141.652.13181-0.481807
2151.652.10045-0.450454
2162.72.259390.440611
2172.12.086920.0130769
2181.952.03846-0.0884586
2192.252.07930.1707
2202.42.154870.24513
2211.952.08174-0.131739
2222.12.095230.00477243
2232.42.148820.251183
2242.12.065410.0345908
2252.12.088910.0110862
2262.42.12590.2741
2272.42.074080.325923
2282.42.077170.322834
2292.252.128640.12136
2302.42.172110.227891
2312.12.072660.0273404
2322.12.099730.000267461
2331.82.24869-0.448689
2342.72.068050.631952
2352.12.15874-0.0587418
2362.12.17731-0.0773066
2372.42.052970.347033
2382.552.128880.421116
2392.552.136570.413429
2402.12.14014-0.0401354
2412.12.13236-0.0323644
2422.12.11969-0.0196933
2432.252.136570.113429
2442.252.130980.119021
2452.12.072870.0271326
2462.12.10146-0.00146017
2471.952.16728-0.217276
2482.42.022440.377558
2492.12.13236-0.0323644
2502.42.091310.308691
2512.42.113820.286182
2522.42.096870.303129
2532.252.177310.0726934
2541.952.11787-0.167872
2552.12.11058-0.0105775
2562.12.12216-0.0221623
2572.552.0040.546
2582.12.058610.0413863
2592.12.15522-0.0552168
2602.12.012840.0871562
2611.952.07647-0.126471
2622.252.135630.114365
2632.42.12980.270198
2641.952.10279-0.152791
2652.12.138-0.038001
2662.12.20252-0.102515
2671.951.97974-0.0297445
2682.12.1071-0.0070967
2692.12.15272-0.0527174
2701.952.14127-0.191266
2712.12.1073-0.00729663
2721.952.04925-0.0992459
2732.42.113820.286182
2742.42.14860.251395
2752.42.147410.252586
2761.952.0348-0.0847998
2772.72.179760.520235
2782.12.095890.00410614
2791.952.02692-0.076918
2802.12.012890.087112
2811.952.13292-0.182922
2822.12.23513-0.135133
2832.252.102230.147767
2842.72.134360.565645
2852.12.12491-0.0249103
2862.42.068050.331952
2871.351.99525-0.645253






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.01246970.02493930.98753
110.1041870.2083740.895813
120.4614170.9228340.538583
130.6277180.7445650.372282
140.5700150.859970.429985
150.4964090.9928180.503591
160.9999921.52973e-057.64863e-06
170.9999872.5116e-051.2558e-05
180.9999755.09556e-052.54778e-05
190.9999637.3193e-053.65965e-05
200.9999647.10466e-053.55233e-05
210.9999390.0001226546.13271e-05
220.9998890.0002216720.000110836
230.9998420.0003160050.000158002
240.9997770.0004469740.000223487
250.9996270.0007457430.000372871
260.9995820.0008359980.000417999
270.999810.0003795830.000189791
280.999984.0796e-052.0398e-05
290.9999941.24296e-056.21481e-06
300.9999931.30554e-056.5277e-06
310.9999882.32667e-051.16334e-05
320.9999852.94681e-051.47341e-05
330.9999774.59189e-052.29594e-05
340.9999666.87915e-053.43958e-05
350.9999735.36757e-052.68378e-05
360.9999588.44698e-054.22349e-05
370.9999410.0001180535.90264e-05
380.9999872.5048e-051.2524e-05
390.9999813.85028e-051.92514e-05
400.9999794.2359e-052.11795e-05
410.999975.93011e-052.96506e-05
420.9999813.72484e-051.86242e-05
430.9999745.15763e-052.57882e-05
440.9999666.88234e-053.44117e-05
450.9999519.82529e-054.91264e-05
460.9999330.0001349376.74683e-05
470.9999150.0001705248.52621e-05
480.9998970.0002064110.000103205
490.9998610.0002775720.000138786
500.9998120.0003769110.000188456
510.9997580.0004846030.000242302
520.9996420.0007155540.000357777
530.9996690.0006624610.00033123
540.9996720.0006567290.000328364
550.999620.0007608860.000380443
560.9996630.0006743270.000337164
570.9995590.0008829780.000441489
580.999520.0009592070.000479604
590.9995960.0008075820.000403791
600.999690.000619080.00030954
610.9999862.7235e-051.36175e-05
620.9999823.53835e-051.76918e-05
630.999992.05402e-051.02701e-05
640.9999872.60539e-051.3027e-05
650.9999823.53629e-051.76814e-05
660.9999882.46004e-051.23002e-05
670.9999967.26128e-063.63064e-06
680.9999984.82419e-062.41209e-06
690.9999967.21172e-063.60586e-06
700.9999941.1105e-055.55249e-06
710.9999931.46697e-057.33487e-06
720.999992.00832e-051.00416e-05
730.9999872.52949e-051.26475e-05
740.9999843.2415e-051.62075e-05
750.9999882.33754e-051.16877e-05
760.9999892.11396e-051.05698e-05
770.9999862.73891e-051.36945e-05
780.9999843.2444e-051.6222e-05
790.999984.02026e-052.01013e-05
800.9999823.60206e-051.80103e-05
810.999984.08259e-052.0413e-05
820.9999745.11499e-052.55749e-05
830.9999852.96821e-051.48411e-05
840.999984.05508e-052.02754e-05
850.9999735.33196e-052.66598e-05
860.9999696.19711e-053.09856e-05
870.9999578.66014e-054.33007e-05
880.9999823.54687e-051.77344e-05
890.9999843.29217e-051.64608e-05
900.9999833.41949e-051.70974e-05
910.9999794.1832e-052.0916e-05
920.999984.09556e-052.04778e-05
930.9999735.37343e-052.68671e-05
940.9999754.93274e-052.46637e-05
950.9999666.78682e-053.39341e-05
960.9999745.26099e-052.6305e-05
970.9999696.28203e-053.14101e-05
980.9999647.14665e-053.57333e-05
990.9999745.29758e-052.64879e-05
1000.9999735.31479e-052.6574e-05
1010.9999735.4083e-052.70415e-05
1020.9999627.55878e-053.77939e-05
1030.9999480.0001039445.1972e-05
1040.9999450.0001104035.52017e-05
1050.9999390.000121656.08252e-05
1060.9999519.83907e-054.91953e-05
1070.9999559.06219e-054.5311e-05
1080.9999490.0001018515.09255e-05
1090.9999715.80105e-052.90052e-05
1100.9999745.21124e-052.60562e-05
1110.9999745.12315e-052.56157e-05
1120.9999823.5045e-051.75225e-05
1130.9999833.40975e-051.70487e-05
1140.9999872.55355e-051.27677e-05
1150.9999843.27858e-051.63929e-05
1160.9999852.96508e-051.48254e-05
1170.9999784.30003e-052.15002e-05
1180.9999931.43071e-057.15353e-06
1190.9999892.10966e-051.05483e-05
1200.9999853.03069e-051.51535e-05
1210.9999794.16195e-052.08097e-05
1220.9999715.81445e-052.90723e-05
1230.9999627.51193e-053.75596e-05
1240.9999480.0001049745.24868e-05
1250.9999320.0001356596.78295e-05
1260.9999090.000182149.10702e-05
1270.9998950.0002109050.000105453
1280.9998890.000222520.00011126
1290.9998540.0002923580.000146179
1300.9998050.0003901890.000195095
1310.9997650.0004699020.000234951
1320.9996830.0006349710.000317486
1330.9997930.0004149070.000207453
1340.9997190.0005618730.000280936
1350.9996250.0007500340.000375017
1360.9997910.0004185160.000209258
1370.999730.0005392830.000269641
1380.9997430.0005131420.000256571
1390.9996670.0006654220.000332711
1400.9996170.0007666820.000383341
1410.9994920.00101610.00050805
1420.999380.001240190.000620095
1430.9994120.001175550.000587776
1440.9992380.001524960.000762479
1450.9989950.002009950.00100498
1460.9987140.002572970.00128648
1470.9983850.003230190.00161509
1480.9983470.003305830.00165291
1490.9979580.004083420.00204171
1500.9973250.005350420.00267521
1510.9977060.004587990.00229399
1520.9970520.005896920.00294846
1530.9965830.006833460.00341673
1540.9956810.008637070.00431853
1550.9946520.01069540.00534769
1560.9933080.01338490.00669247
1570.9939860.01202730.00601366
1580.9937210.01255840.00627921
1590.9925610.0148790.00743948
1600.9907140.01857290.00928645
1610.9883670.02326590.011633
1620.9855030.02899390.0144969
1630.9940710.0118570.0059285
1640.9926210.01475750.00737875
1650.9910050.01799010.00899505
1660.989240.02152060.0107603
1670.9955670.008866440.00443322
1680.9949720.01005570.00502783
1690.993740.01251910.00625955
1700.9919870.01602580.00801289
1710.9925440.0149110.00745551
1720.9915770.01684640.00842322
1730.9972290.005542010.00277101
1740.9963630.007274120.00363706
1750.9955810.008837810.00441891
1760.9943870.01122510.00561256
1770.9983530.003294740.00164737
1780.9978930.004213270.00210663
1790.9973180.00536480.0026824
1800.9985470.002906330.00145317
1810.9992960.001408340.000704171
1820.9990610.001878780.000939391
1830.998750.002500840.00125042
1840.9984430.003113770.00155688
1850.9979780.004043110.00202155
1860.9973840.005232750.00261638
1870.9973540.005292310.00264615
1880.9977380.00452410.00226205
1890.9969940.006012030.00300602
1900.9963750.007250630.00362532
1910.9969310.006138760.00306938
1920.9961250.007749080.00387454
1930.9951620.009675150.00483757
1940.9948560.01028780.00514389
1950.9943620.01127550.00563773
1960.9929250.01415040.00707518
1970.9908390.01832110.00916055
1980.9896580.02068390.0103419
1990.9875470.02490550.0124527
2000.9922470.01550590.00775295
2010.9903110.01937770.00968884
2020.9874510.0250980.012549
2030.9856990.02860240.0143012
2040.9837080.03258350.0162917
2050.9813260.03734780.0186739
2060.9769430.04611490.0230574
2070.9718250.05634990.028175
2080.9649510.07009740.0350487
2090.9572660.08546870.0427343
2100.9591770.08164580.0408229
2110.9505940.09881140.0494057
2120.9413240.1173530.0586765
2130.9302610.1394770.0697385
2140.9634910.07301730.0365087
2150.9842730.03145370.0157268
2160.9888960.02220750.0111037
2170.9854050.029190.014595
2180.9819630.03607480.0180374
2190.9773820.04523520.0226176
2200.9740830.0518340.025917
2210.9757550.04849020.0242451
2220.9703640.05927140.0296357
2230.9652760.06944770.0347239
2240.9559850.0880290.0440145
2250.9467280.1065430.0532717
2260.9472380.1055240.052762
2270.9476180.1047640.052382
2280.9444820.1110370.0555184
2290.9318720.1362560.0681279
2300.9271750.145650.0728251
2310.9116750.1766510.0883254
2320.8915230.2169550.108477
2330.924460.151080.0755402
2340.9643870.07122640.0356132
2350.962130.07573970.0378699
2360.9538530.09229450.0461472
2370.9569870.08602660.0430133
2380.9614490.07710190.0385509
2390.968870.06225990.0311299
2400.9630860.07382810.0369141
2410.9532650.09347040.0467352
2420.9497180.1005630.0502817
2430.9361730.1276550.0638275
2440.9182640.1634710.0817356
2450.8969290.2061430.103071
2460.8747040.2505930.125296
2470.8769320.2461350.123068
2480.8855320.2289360.114468
2490.8620280.2759430.137972
2500.8549770.2900460.145023
2510.8369360.3261280.163064
2520.8639790.2720420.136021
2530.8287980.3424040.171202
2540.7973160.4053680.202684
2550.7526270.4947470.247373
2560.7195230.5609540.280477
2570.8780530.2438940.121947
2580.8412260.3175470.158774
2590.8669370.2661260.133063
2600.8296380.3407230.170362
2610.848770.302460.15123
2620.8159730.3680530.184027
2630.7785430.4429140.221457
2640.7192750.561450.280725
2650.6905410.6189180.309459
2660.6320860.7358270.367914
2670.5524760.8950480.447524
2680.4918890.9837790.508111
2690.4826490.9652980.517351
2700.5387890.9224220.461211
2710.5338610.9322780.466139
2720.5329060.9341870.467094
2730.4279490.8558990.572051
2740.3427170.6854330.657283
2750.2436580.4873160.756342
2760.1523190.3046380.847681
2770.1711120.3422250.828888

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.0124697 & 0.0249393 & 0.98753 \tabularnewline
11 & 0.104187 & 0.208374 & 0.895813 \tabularnewline
12 & 0.461417 & 0.922834 & 0.538583 \tabularnewline
13 & 0.627718 & 0.744565 & 0.372282 \tabularnewline
14 & 0.570015 & 0.85997 & 0.429985 \tabularnewline
15 & 0.496409 & 0.992818 & 0.503591 \tabularnewline
16 & 0.999992 & 1.52973e-05 & 7.64863e-06 \tabularnewline
17 & 0.999987 & 2.5116e-05 & 1.2558e-05 \tabularnewline
18 & 0.999975 & 5.09556e-05 & 2.54778e-05 \tabularnewline
19 & 0.999963 & 7.3193e-05 & 3.65965e-05 \tabularnewline
20 & 0.999964 & 7.10466e-05 & 3.55233e-05 \tabularnewline
21 & 0.999939 & 0.000122654 & 6.13271e-05 \tabularnewline
22 & 0.999889 & 0.000221672 & 0.000110836 \tabularnewline
23 & 0.999842 & 0.000316005 & 0.000158002 \tabularnewline
24 & 0.999777 & 0.000446974 & 0.000223487 \tabularnewline
25 & 0.999627 & 0.000745743 & 0.000372871 \tabularnewline
26 & 0.999582 & 0.000835998 & 0.000417999 \tabularnewline
27 & 0.99981 & 0.000379583 & 0.000189791 \tabularnewline
28 & 0.99998 & 4.0796e-05 & 2.0398e-05 \tabularnewline
29 & 0.999994 & 1.24296e-05 & 6.21481e-06 \tabularnewline
30 & 0.999993 & 1.30554e-05 & 6.5277e-06 \tabularnewline
31 & 0.999988 & 2.32667e-05 & 1.16334e-05 \tabularnewline
32 & 0.999985 & 2.94681e-05 & 1.47341e-05 \tabularnewline
33 & 0.999977 & 4.59189e-05 & 2.29594e-05 \tabularnewline
34 & 0.999966 & 6.87915e-05 & 3.43958e-05 \tabularnewline
35 & 0.999973 & 5.36757e-05 & 2.68378e-05 \tabularnewline
36 & 0.999958 & 8.44698e-05 & 4.22349e-05 \tabularnewline
37 & 0.999941 & 0.000118053 & 5.90264e-05 \tabularnewline
38 & 0.999987 & 2.5048e-05 & 1.2524e-05 \tabularnewline
39 & 0.999981 & 3.85028e-05 & 1.92514e-05 \tabularnewline
40 & 0.999979 & 4.2359e-05 & 2.11795e-05 \tabularnewline
41 & 0.99997 & 5.93011e-05 & 2.96506e-05 \tabularnewline
42 & 0.999981 & 3.72484e-05 & 1.86242e-05 \tabularnewline
43 & 0.999974 & 5.15763e-05 & 2.57882e-05 \tabularnewline
44 & 0.999966 & 6.88234e-05 & 3.44117e-05 \tabularnewline
45 & 0.999951 & 9.82529e-05 & 4.91264e-05 \tabularnewline
46 & 0.999933 & 0.000134937 & 6.74683e-05 \tabularnewline
47 & 0.999915 & 0.000170524 & 8.52621e-05 \tabularnewline
48 & 0.999897 & 0.000206411 & 0.000103205 \tabularnewline
49 & 0.999861 & 0.000277572 & 0.000138786 \tabularnewline
50 & 0.999812 & 0.000376911 & 0.000188456 \tabularnewline
51 & 0.999758 & 0.000484603 & 0.000242302 \tabularnewline
52 & 0.999642 & 0.000715554 & 0.000357777 \tabularnewline
53 & 0.999669 & 0.000662461 & 0.00033123 \tabularnewline
54 & 0.999672 & 0.000656729 & 0.000328364 \tabularnewline
55 & 0.99962 & 0.000760886 & 0.000380443 \tabularnewline
56 & 0.999663 & 0.000674327 & 0.000337164 \tabularnewline
57 & 0.999559 & 0.000882978 & 0.000441489 \tabularnewline
58 & 0.99952 & 0.000959207 & 0.000479604 \tabularnewline
59 & 0.999596 & 0.000807582 & 0.000403791 \tabularnewline
60 & 0.99969 & 0.00061908 & 0.00030954 \tabularnewline
61 & 0.999986 & 2.7235e-05 & 1.36175e-05 \tabularnewline
62 & 0.999982 & 3.53835e-05 & 1.76918e-05 \tabularnewline
63 & 0.99999 & 2.05402e-05 & 1.02701e-05 \tabularnewline
64 & 0.999987 & 2.60539e-05 & 1.3027e-05 \tabularnewline
65 & 0.999982 & 3.53629e-05 & 1.76814e-05 \tabularnewline
66 & 0.999988 & 2.46004e-05 & 1.23002e-05 \tabularnewline
67 & 0.999996 & 7.26128e-06 & 3.63064e-06 \tabularnewline
68 & 0.999998 & 4.82419e-06 & 2.41209e-06 \tabularnewline
69 & 0.999996 & 7.21172e-06 & 3.60586e-06 \tabularnewline
70 & 0.999994 & 1.1105e-05 & 5.55249e-06 \tabularnewline
71 & 0.999993 & 1.46697e-05 & 7.33487e-06 \tabularnewline
72 & 0.99999 & 2.00832e-05 & 1.00416e-05 \tabularnewline
73 & 0.999987 & 2.52949e-05 & 1.26475e-05 \tabularnewline
74 & 0.999984 & 3.2415e-05 & 1.62075e-05 \tabularnewline
75 & 0.999988 & 2.33754e-05 & 1.16877e-05 \tabularnewline
76 & 0.999989 & 2.11396e-05 & 1.05698e-05 \tabularnewline
77 & 0.999986 & 2.73891e-05 & 1.36945e-05 \tabularnewline
78 & 0.999984 & 3.2444e-05 & 1.6222e-05 \tabularnewline
79 & 0.99998 & 4.02026e-05 & 2.01013e-05 \tabularnewline
80 & 0.999982 & 3.60206e-05 & 1.80103e-05 \tabularnewline
81 & 0.99998 & 4.08259e-05 & 2.0413e-05 \tabularnewline
82 & 0.999974 & 5.11499e-05 & 2.55749e-05 \tabularnewline
83 & 0.999985 & 2.96821e-05 & 1.48411e-05 \tabularnewline
84 & 0.99998 & 4.05508e-05 & 2.02754e-05 \tabularnewline
85 & 0.999973 & 5.33196e-05 & 2.66598e-05 \tabularnewline
86 & 0.999969 & 6.19711e-05 & 3.09856e-05 \tabularnewline
87 & 0.999957 & 8.66014e-05 & 4.33007e-05 \tabularnewline
88 & 0.999982 & 3.54687e-05 & 1.77344e-05 \tabularnewline
89 & 0.999984 & 3.29217e-05 & 1.64608e-05 \tabularnewline
90 & 0.999983 & 3.41949e-05 & 1.70974e-05 \tabularnewline
91 & 0.999979 & 4.1832e-05 & 2.0916e-05 \tabularnewline
92 & 0.99998 & 4.09556e-05 & 2.04778e-05 \tabularnewline
93 & 0.999973 & 5.37343e-05 & 2.68671e-05 \tabularnewline
94 & 0.999975 & 4.93274e-05 & 2.46637e-05 \tabularnewline
95 & 0.999966 & 6.78682e-05 & 3.39341e-05 \tabularnewline
96 & 0.999974 & 5.26099e-05 & 2.6305e-05 \tabularnewline
97 & 0.999969 & 6.28203e-05 & 3.14101e-05 \tabularnewline
98 & 0.999964 & 7.14665e-05 & 3.57333e-05 \tabularnewline
99 & 0.999974 & 5.29758e-05 & 2.64879e-05 \tabularnewline
100 & 0.999973 & 5.31479e-05 & 2.6574e-05 \tabularnewline
101 & 0.999973 & 5.4083e-05 & 2.70415e-05 \tabularnewline
102 & 0.999962 & 7.55878e-05 & 3.77939e-05 \tabularnewline
103 & 0.999948 & 0.000103944 & 5.1972e-05 \tabularnewline
104 & 0.999945 & 0.000110403 & 5.52017e-05 \tabularnewline
105 & 0.999939 & 0.00012165 & 6.08252e-05 \tabularnewline
106 & 0.999951 & 9.83907e-05 & 4.91953e-05 \tabularnewline
107 & 0.999955 & 9.06219e-05 & 4.5311e-05 \tabularnewline
108 & 0.999949 & 0.000101851 & 5.09255e-05 \tabularnewline
109 & 0.999971 & 5.80105e-05 & 2.90052e-05 \tabularnewline
110 & 0.999974 & 5.21124e-05 & 2.60562e-05 \tabularnewline
111 & 0.999974 & 5.12315e-05 & 2.56157e-05 \tabularnewline
112 & 0.999982 & 3.5045e-05 & 1.75225e-05 \tabularnewline
113 & 0.999983 & 3.40975e-05 & 1.70487e-05 \tabularnewline
114 & 0.999987 & 2.55355e-05 & 1.27677e-05 \tabularnewline
115 & 0.999984 & 3.27858e-05 & 1.63929e-05 \tabularnewline
116 & 0.999985 & 2.96508e-05 & 1.48254e-05 \tabularnewline
117 & 0.999978 & 4.30003e-05 & 2.15002e-05 \tabularnewline
118 & 0.999993 & 1.43071e-05 & 7.15353e-06 \tabularnewline
119 & 0.999989 & 2.10966e-05 & 1.05483e-05 \tabularnewline
120 & 0.999985 & 3.03069e-05 & 1.51535e-05 \tabularnewline
121 & 0.999979 & 4.16195e-05 & 2.08097e-05 \tabularnewline
122 & 0.999971 & 5.81445e-05 & 2.90723e-05 \tabularnewline
123 & 0.999962 & 7.51193e-05 & 3.75596e-05 \tabularnewline
124 & 0.999948 & 0.000104974 & 5.24868e-05 \tabularnewline
125 & 0.999932 & 0.000135659 & 6.78295e-05 \tabularnewline
126 & 0.999909 & 0.00018214 & 9.10702e-05 \tabularnewline
127 & 0.999895 & 0.000210905 & 0.000105453 \tabularnewline
128 & 0.999889 & 0.00022252 & 0.00011126 \tabularnewline
129 & 0.999854 & 0.000292358 & 0.000146179 \tabularnewline
130 & 0.999805 & 0.000390189 & 0.000195095 \tabularnewline
131 & 0.999765 & 0.000469902 & 0.000234951 \tabularnewline
132 & 0.999683 & 0.000634971 & 0.000317486 \tabularnewline
133 & 0.999793 & 0.000414907 & 0.000207453 \tabularnewline
134 & 0.999719 & 0.000561873 & 0.000280936 \tabularnewline
135 & 0.999625 & 0.000750034 & 0.000375017 \tabularnewline
136 & 0.999791 & 0.000418516 & 0.000209258 \tabularnewline
137 & 0.99973 & 0.000539283 & 0.000269641 \tabularnewline
138 & 0.999743 & 0.000513142 & 0.000256571 \tabularnewline
139 & 0.999667 & 0.000665422 & 0.000332711 \tabularnewline
140 & 0.999617 & 0.000766682 & 0.000383341 \tabularnewline
141 & 0.999492 & 0.0010161 & 0.00050805 \tabularnewline
142 & 0.99938 & 0.00124019 & 0.000620095 \tabularnewline
143 & 0.999412 & 0.00117555 & 0.000587776 \tabularnewline
144 & 0.999238 & 0.00152496 & 0.000762479 \tabularnewline
145 & 0.998995 & 0.00200995 & 0.00100498 \tabularnewline
146 & 0.998714 & 0.00257297 & 0.00128648 \tabularnewline
147 & 0.998385 & 0.00323019 & 0.00161509 \tabularnewline
148 & 0.998347 & 0.00330583 & 0.00165291 \tabularnewline
149 & 0.997958 & 0.00408342 & 0.00204171 \tabularnewline
150 & 0.997325 & 0.00535042 & 0.00267521 \tabularnewline
151 & 0.997706 & 0.00458799 & 0.00229399 \tabularnewline
152 & 0.997052 & 0.00589692 & 0.00294846 \tabularnewline
153 & 0.996583 & 0.00683346 & 0.00341673 \tabularnewline
154 & 0.995681 & 0.00863707 & 0.00431853 \tabularnewline
155 & 0.994652 & 0.0106954 & 0.00534769 \tabularnewline
156 & 0.993308 & 0.0133849 & 0.00669247 \tabularnewline
157 & 0.993986 & 0.0120273 & 0.00601366 \tabularnewline
158 & 0.993721 & 0.0125584 & 0.00627921 \tabularnewline
159 & 0.992561 & 0.014879 & 0.00743948 \tabularnewline
160 & 0.990714 & 0.0185729 & 0.00928645 \tabularnewline
161 & 0.988367 & 0.0232659 & 0.011633 \tabularnewline
162 & 0.985503 & 0.0289939 & 0.0144969 \tabularnewline
163 & 0.994071 & 0.011857 & 0.0059285 \tabularnewline
164 & 0.992621 & 0.0147575 & 0.00737875 \tabularnewline
165 & 0.991005 & 0.0179901 & 0.00899505 \tabularnewline
166 & 0.98924 & 0.0215206 & 0.0107603 \tabularnewline
167 & 0.995567 & 0.00886644 & 0.00443322 \tabularnewline
168 & 0.994972 & 0.0100557 & 0.00502783 \tabularnewline
169 & 0.99374 & 0.0125191 & 0.00625955 \tabularnewline
170 & 0.991987 & 0.0160258 & 0.00801289 \tabularnewline
171 & 0.992544 & 0.014911 & 0.00745551 \tabularnewline
172 & 0.991577 & 0.0168464 & 0.00842322 \tabularnewline
173 & 0.997229 & 0.00554201 & 0.00277101 \tabularnewline
174 & 0.996363 & 0.00727412 & 0.00363706 \tabularnewline
175 & 0.995581 & 0.00883781 & 0.00441891 \tabularnewline
176 & 0.994387 & 0.0112251 & 0.00561256 \tabularnewline
177 & 0.998353 & 0.00329474 & 0.00164737 \tabularnewline
178 & 0.997893 & 0.00421327 & 0.00210663 \tabularnewline
179 & 0.997318 & 0.0053648 & 0.0026824 \tabularnewline
180 & 0.998547 & 0.00290633 & 0.00145317 \tabularnewline
181 & 0.999296 & 0.00140834 & 0.000704171 \tabularnewline
182 & 0.999061 & 0.00187878 & 0.000939391 \tabularnewline
183 & 0.99875 & 0.00250084 & 0.00125042 \tabularnewline
184 & 0.998443 & 0.00311377 & 0.00155688 \tabularnewline
185 & 0.997978 & 0.00404311 & 0.00202155 \tabularnewline
186 & 0.997384 & 0.00523275 & 0.00261638 \tabularnewline
187 & 0.997354 & 0.00529231 & 0.00264615 \tabularnewline
188 & 0.997738 & 0.0045241 & 0.00226205 \tabularnewline
189 & 0.996994 & 0.00601203 & 0.00300602 \tabularnewline
190 & 0.996375 & 0.00725063 & 0.00362532 \tabularnewline
191 & 0.996931 & 0.00613876 & 0.00306938 \tabularnewline
192 & 0.996125 & 0.00774908 & 0.00387454 \tabularnewline
193 & 0.995162 & 0.00967515 & 0.00483757 \tabularnewline
194 & 0.994856 & 0.0102878 & 0.00514389 \tabularnewline
195 & 0.994362 & 0.0112755 & 0.00563773 \tabularnewline
196 & 0.992925 & 0.0141504 & 0.00707518 \tabularnewline
197 & 0.990839 & 0.0183211 & 0.00916055 \tabularnewline
198 & 0.989658 & 0.0206839 & 0.0103419 \tabularnewline
199 & 0.987547 & 0.0249055 & 0.0124527 \tabularnewline
200 & 0.992247 & 0.0155059 & 0.00775295 \tabularnewline
201 & 0.990311 & 0.0193777 & 0.00968884 \tabularnewline
202 & 0.987451 & 0.025098 & 0.012549 \tabularnewline
203 & 0.985699 & 0.0286024 & 0.0143012 \tabularnewline
204 & 0.983708 & 0.0325835 & 0.0162917 \tabularnewline
205 & 0.981326 & 0.0373478 & 0.0186739 \tabularnewline
206 & 0.976943 & 0.0461149 & 0.0230574 \tabularnewline
207 & 0.971825 & 0.0563499 & 0.028175 \tabularnewline
208 & 0.964951 & 0.0700974 & 0.0350487 \tabularnewline
209 & 0.957266 & 0.0854687 & 0.0427343 \tabularnewline
210 & 0.959177 & 0.0816458 & 0.0408229 \tabularnewline
211 & 0.950594 & 0.0988114 & 0.0494057 \tabularnewline
212 & 0.941324 & 0.117353 & 0.0586765 \tabularnewline
213 & 0.930261 & 0.139477 & 0.0697385 \tabularnewline
214 & 0.963491 & 0.0730173 & 0.0365087 \tabularnewline
215 & 0.984273 & 0.0314537 & 0.0157268 \tabularnewline
216 & 0.988896 & 0.0222075 & 0.0111037 \tabularnewline
217 & 0.985405 & 0.02919 & 0.014595 \tabularnewline
218 & 0.981963 & 0.0360748 & 0.0180374 \tabularnewline
219 & 0.977382 & 0.0452352 & 0.0226176 \tabularnewline
220 & 0.974083 & 0.051834 & 0.025917 \tabularnewline
221 & 0.975755 & 0.0484902 & 0.0242451 \tabularnewline
222 & 0.970364 & 0.0592714 & 0.0296357 \tabularnewline
223 & 0.965276 & 0.0694477 & 0.0347239 \tabularnewline
224 & 0.955985 & 0.088029 & 0.0440145 \tabularnewline
225 & 0.946728 & 0.106543 & 0.0532717 \tabularnewline
226 & 0.947238 & 0.105524 & 0.052762 \tabularnewline
227 & 0.947618 & 0.104764 & 0.052382 \tabularnewline
228 & 0.944482 & 0.111037 & 0.0555184 \tabularnewline
229 & 0.931872 & 0.136256 & 0.0681279 \tabularnewline
230 & 0.927175 & 0.14565 & 0.0728251 \tabularnewline
231 & 0.911675 & 0.176651 & 0.0883254 \tabularnewline
232 & 0.891523 & 0.216955 & 0.108477 \tabularnewline
233 & 0.92446 & 0.15108 & 0.0755402 \tabularnewline
234 & 0.964387 & 0.0712264 & 0.0356132 \tabularnewline
235 & 0.96213 & 0.0757397 & 0.0378699 \tabularnewline
236 & 0.953853 & 0.0922945 & 0.0461472 \tabularnewline
237 & 0.956987 & 0.0860266 & 0.0430133 \tabularnewline
238 & 0.961449 & 0.0771019 & 0.0385509 \tabularnewline
239 & 0.96887 & 0.0622599 & 0.0311299 \tabularnewline
240 & 0.963086 & 0.0738281 & 0.0369141 \tabularnewline
241 & 0.953265 & 0.0934704 & 0.0467352 \tabularnewline
242 & 0.949718 & 0.100563 & 0.0502817 \tabularnewline
243 & 0.936173 & 0.127655 & 0.0638275 \tabularnewline
244 & 0.918264 & 0.163471 & 0.0817356 \tabularnewline
245 & 0.896929 & 0.206143 & 0.103071 \tabularnewline
246 & 0.874704 & 0.250593 & 0.125296 \tabularnewline
247 & 0.876932 & 0.246135 & 0.123068 \tabularnewline
248 & 0.885532 & 0.228936 & 0.114468 \tabularnewline
249 & 0.862028 & 0.275943 & 0.137972 \tabularnewline
250 & 0.854977 & 0.290046 & 0.145023 \tabularnewline
251 & 0.836936 & 0.326128 & 0.163064 \tabularnewline
252 & 0.863979 & 0.272042 & 0.136021 \tabularnewline
253 & 0.828798 & 0.342404 & 0.171202 \tabularnewline
254 & 0.797316 & 0.405368 & 0.202684 \tabularnewline
255 & 0.752627 & 0.494747 & 0.247373 \tabularnewline
256 & 0.719523 & 0.560954 & 0.280477 \tabularnewline
257 & 0.878053 & 0.243894 & 0.121947 \tabularnewline
258 & 0.841226 & 0.317547 & 0.158774 \tabularnewline
259 & 0.866937 & 0.266126 & 0.133063 \tabularnewline
260 & 0.829638 & 0.340723 & 0.170362 \tabularnewline
261 & 0.84877 & 0.30246 & 0.15123 \tabularnewline
262 & 0.815973 & 0.368053 & 0.184027 \tabularnewline
263 & 0.778543 & 0.442914 & 0.221457 \tabularnewline
264 & 0.719275 & 0.56145 & 0.280725 \tabularnewline
265 & 0.690541 & 0.618918 & 0.309459 \tabularnewline
266 & 0.632086 & 0.735827 & 0.367914 \tabularnewline
267 & 0.552476 & 0.895048 & 0.447524 \tabularnewline
268 & 0.491889 & 0.983779 & 0.508111 \tabularnewline
269 & 0.482649 & 0.965298 & 0.517351 \tabularnewline
270 & 0.538789 & 0.922422 & 0.461211 \tabularnewline
271 & 0.533861 & 0.932278 & 0.466139 \tabularnewline
272 & 0.532906 & 0.934187 & 0.467094 \tabularnewline
273 & 0.427949 & 0.855899 & 0.572051 \tabularnewline
274 & 0.342717 & 0.685433 & 0.657283 \tabularnewline
275 & 0.243658 & 0.487316 & 0.756342 \tabularnewline
276 & 0.152319 & 0.304638 & 0.847681 \tabularnewline
277 & 0.171112 & 0.342225 & 0.828888 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266679&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]10[/C][C]0.0124697[/C][C]0.0249393[/C][C]0.98753[/C][/ROW]
[ROW][C]11[/C][C]0.104187[/C][C]0.208374[/C][C]0.895813[/C][/ROW]
[ROW][C]12[/C][C]0.461417[/C][C]0.922834[/C][C]0.538583[/C][/ROW]
[ROW][C]13[/C][C]0.627718[/C][C]0.744565[/C][C]0.372282[/C][/ROW]
[ROW][C]14[/C][C]0.570015[/C][C]0.85997[/C][C]0.429985[/C][/ROW]
[ROW][C]15[/C][C]0.496409[/C][C]0.992818[/C][C]0.503591[/C][/ROW]
[ROW][C]16[/C][C]0.999992[/C][C]1.52973e-05[/C][C]7.64863e-06[/C][/ROW]
[ROW][C]17[/C][C]0.999987[/C][C]2.5116e-05[/C][C]1.2558e-05[/C][/ROW]
[ROW][C]18[/C][C]0.999975[/C][C]5.09556e-05[/C][C]2.54778e-05[/C][/ROW]
[ROW][C]19[/C][C]0.999963[/C][C]7.3193e-05[/C][C]3.65965e-05[/C][/ROW]
[ROW][C]20[/C][C]0.999964[/C][C]7.10466e-05[/C][C]3.55233e-05[/C][/ROW]
[ROW][C]21[/C][C]0.999939[/C][C]0.000122654[/C][C]6.13271e-05[/C][/ROW]
[ROW][C]22[/C][C]0.999889[/C][C]0.000221672[/C][C]0.000110836[/C][/ROW]
[ROW][C]23[/C][C]0.999842[/C][C]0.000316005[/C][C]0.000158002[/C][/ROW]
[ROW][C]24[/C][C]0.999777[/C][C]0.000446974[/C][C]0.000223487[/C][/ROW]
[ROW][C]25[/C][C]0.999627[/C][C]0.000745743[/C][C]0.000372871[/C][/ROW]
[ROW][C]26[/C][C]0.999582[/C][C]0.000835998[/C][C]0.000417999[/C][/ROW]
[ROW][C]27[/C][C]0.99981[/C][C]0.000379583[/C][C]0.000189791[/C][/ROW]
[ROW][C]28[/C][C]0.99998[/C][C]4.0796e-05[/C][C]2.0398e-05[/C][/ROW]
[ROW][C]29[/C][C]0.999994[/C][C]1.24296e-05[/C][C]6.21481e-06[/C][/ROW]
[ROW][C]30[/C][C]0.999993[/C][C]1.30554e-05[/C][C]6.5277e-06[/C][/ROW]
[ROW][C]31[/C][C]0.999988[/C][C]2.32667e-05[/C][C]1.16334e-05[/C][/ROW]
[ROW][C]32[/C][C]0.999985[/C][C]2.94681e-05[/C][C]1.47341e-05[/C][/ROW]
[ROW][C]33[/C][C]0.999977[/C][C]4.59189e-05[/C][C]2.29594e-05[/C][/ROW]
[ROW][C]34[/C][C]0.999966[/C][C]6.87915e-05[/C][C]3.43958e-05[/C][/ROW]
[ROW][C]35[/C][C]0.999973[/C][C]5.36757e-05[/C][C]2.68378e-05[/C][/ROW]
[ROW][C]36[/C][C]0.999958[/C][C]8.44698e-05[/C][C]4.22349e-05[/C][/ROW]
[ROW][C]37[/C][C]0.999941[/C][C]0.000118053[/C][C]5.90264e-05[/C][/ROW]
[ROW][C]38[/C][C]0.999987[/C][C]2.5048e-05[/C][C]1.2524e-05[/C][/ROW]
[ROW][C]39[/C][C]0.999981[/C][C]3.85028e-05[/C][C]1.92514e-05[/C][/ROW]
[ROW][C]40[/C][C]0.999979[/C][C]4.2359e-05[/C][C]2.11795e-05[/C][/ROW]
[ROW][C]41[/C][C]0.99997[/C][C]5.93011e-05[/C][C]2.96506e-05[/C][/ROW]
[ROW][C]42[/C][C]0.999981[/C][C]3.72484e-05[/C][C]1.86242e-05[/C][/ROW]
[ROW][C]43[/C][C]0.999974[/C][C]5.15763e-05[/C][C]2.57882e-05[/C][/ROW]
[ROW][C]44[/C][C]0.999966[/C][C]6.88234e-05[/C][C]3.44117e-05[/C][/ROW]
[ROW][C]45[/C][C]0.999951[/C][C]9.82529e-05[/C][C]4.91264e-05[/C][/ROW]
[ROW][C]46[/C][C]0.999933[/C][C]0.000134937[/C][C]6.74683e-05[/C][/ROW]
[ROW][C]47[/C][C]0.999915[/C][C]0.000170524[/C][C]8.52621e-05[/C][/ROW]
[ROW][C]48[/C][C]0.999897[/C][C]0.000206411[/C][C]0.000103205[/C][/ROW]
[ROW][C]49[/C][C]0.999861[/C][C]0.000277572[/C][C]0.000138786[/C][/ROW]
[ROW][C]50[/C][C]0.999812[/C][C]0.000376911[/C][C]0.000188456[/C][/ROW]
[ROW][C]51[/C][C]0.999758[/C][C]0.000484603[/C][C]0.000242302[/C][/ROW]
[ROW][C]52[/C][C]0.999642[/C][C]0.000715554[/C][C]0.000357777[/C][/ROW]
[ROW][C]53[/C][C]0.999669[/C][C]0.000662461[/C][C]0.00033123[/C][/ROW]
[ROW][C]54[/C][C]0.999672[/C][C]0.000656729[/C][C]0.000328364[/C][/ROW]
[ROW][C]55[/C][C]0.99962[/C][C]0.000760886[/C][C]0.000380443[/C][/ROW]
[ROW][C]56[/C][C]0.999663[/C][C]0.000674327[/C][C]0.000337164[/C][/ROW]
[ROW][C]57[/C][C]0.999559[/C][C]0.000882978[/C][C]0.000441489[/C][/ROW]
[ROW][C]58[/C][C]0.99952[/C][C]0.000959207[/C][C]0.000479604[/C][/ROW]
[ROW][C]59[/C][C]0.999596[/C][C]0.000807582[/C][C]0.000403791[/C][/ROW]
[ROW][C]60[/C][C]0.99969[/C][C]0.00061908[/C][C]0.00030954[/C][/ROW]
[ROW][C]61[/C][C]0.999986[/C][C]2.7235e-05[/C][C]1.36175e-05[/C][/ROW]
[ROW][C]62[/C][C]0.999982[/C][C]3.53835e-05[/C][C]1.76918e-05[/C][/ROW]
[ROW][C]63[/C][C]0.99999[/C][C]2.05402e-05[/C][C]1.02701e-05[/C][/ROW]
[ROW][C]64[/C][C]0.999987[/C][C]2.60539e-05[/C][C]1.3027e-05[/C][/ROW]
[ROW][C]65[/C][C]0.999982[/C][C]3.53629e-05[/C][C]1.76814e-05[/C][/ROW]
[ROW][C]66[/C][C]0.999988[/C][C]2.46004e-05[/C][C]1.23002e-05[/C][/ROW]
[ROW][C]67[/C][C]0.999996[/C][C]7.26128e-06[/C][C]3.63064e-06[/C][/ROW]
[ROW][C]68[/C][C]0.999998[/C][C]4.82419e-06[/C][C]2.41209e-06[/C][/ROW]
[ROW][C]69[/C][C]0.999996[/C][C]7.21172e-06[/C][C]3.60586e-06[/C][/ROW]
[ROW][C]70[/C][C]0.999994[/C][C]1.1105e-05[/C][C]5.55249e-06[/C][/ROW]
[ROW][C]71[/C][C]0.999993[/C][C]1.46697e-05[/C][C]7.33487e-06[/C][/ROW]
[ROW][C]72[/C][C]0.99999[/C][C]2.00832e-05[/C][C]1.00416e-05[/C][/ROW]
[ROW][C]73[/C][C]0.999987[/C][C]2.52949e-05[/C][C]1.26475e-05[/C][/ROW]
[ROW][C]74[/C][C]0.999984[/C][C]3.2415e-05[/C][C]1.62075e-05[/C][/ROW]
[ROW][C]75[/C][C]0.999988[/C][C]2.33754e-05[/C][C]1.16877e-05[/C][/ROW]
[ROW][C]76[/C][C]0.999989[/C][C]2.11396e-05[/C][C]1.05698e-05[/C][/ROW]
[ROW][C]77[/C][C]0.999986[/C][C]2.73891e-05[/C][C]1.36945e-05[/C][/ROW]
[ROW][C]78[/C][C]0.999984[/C][C]3.2444e-05[/C][C]1.6222e-05[/C][/ROW]
[ROW][C]79[/C][C]0.99998[/C][C]4.02026e-05[/C][C]2.01013e-05[/C][/ROW]
[ROW][C]80[/C][C]0.999982[/C][C]3.60206e-05[/C][C]1.80103e-05[/C][/ROW]
[ROW][C]81[/C][C]0.99998[/C][C]4.08259e-05[/C][C]2.0413e-05[/C][/ROW]
[ROW][C]82[/C][C]0.999974[/C][C]5.11499e-05[/C][C]2.55749e-05[/C][/ROW]
[ROW][C]83[/C][C]0.999985[/C][C]2.96821e-05[/C][C]1.48411e-05[/C][/ROW]
[ROW][C]84[/C][C]0.99998[/C][C]4.05508e-05[/C][C]2.02754e-05[/C][/ROW]
[ROW][C]85[/C][C]0.999973[/C][C]5.33196e-05[/C][C]2.66598e-05[/C][/ROW]
[ROW][C]86[/C][C]0.999969[/C][C]6.19711e-05[/C][C]3.09856e-05[/C][/ROW]
[ROW][C]87[/C][C]0.999957[/C][C]8.66014e-05[/C][C]4.33007e-05[/C][/ROW]
[ROW][C]88[/C][C]0.999982[/C][C]3.54687e-05[/C][C]1.77344e-05[/C][/ROW]
[ROW][C]89[/C][C]0.999984[/C][C]3.29217e-05[/C][C]1.64608e-05[/C][/ROW]
[ROW][C]90[/C][C]0.999983[/C][C]3.41949e-05[/C][C]1.70974e-05[/C][/ROW]
[ROW][C]91[/C][C]0.999979[/C][C]4.1832e-05[/C][C]2.0916e-05[/C][/ROW]
[ROW][C]92[/C][C]0.99998[/C][C]4.09556e-05[/C][C]2.04778e-05[/C][/ROW]
[ROW][C]93[/C][C]0.999973[/C][C]5.37343e-05[/C][C]2.68671e-05[/C][/ROW]
[ROW][C]94[/C][C]0.999975[/C][C]4.93274e-05[/C][C]2.46637e-05[/C][/ROW]
[ROW][C]95[/C][C]0.999966[/C][C]6.78682e-05[/C][C]3.39341e-05[/C][/ROW]
[ROW][C]96[/C][C]0.999974[/C][C]5.26099e-05[/C][C]2.6305e-05[/C][/ROW]
[ROW][C]97[/C][C]0.999969[/C][C]6.28203e-05[/C][C]3.14101e-05[/C][/ROW]
[ROW][C]98[/C][C]0.999964[/C][C]7.14665e-05[/C][C]3.57333e-05[/C][/ROW]
[ROW][C]99[/C][C]0.999974[/C][C]5.29758e-05[/C][C]2.64879e-05[/C][/ROW]
[ROW][C]100[/C][C]0.999973[/C][C]5.31479e-05[/C][C]2.6574e-05[/C][/ROW]
[ROW][C]101[/C][C]0.999973[/C][C]5.4083e-05[/C][C]2.70415e-05[/C][/ROW]
[ROW][C]102[/C][C]0.999962[/C][C]7.55878e-05[/C][C]3.77939e-05[/C][/ROW]
[ROW][C]103[/C][C]0.999948[/C][C]0.000103944[/C][C]5.1972e-05[/C][/ROW]
[ROW][C]104[/C][C]0.999945[/C][C]0.000110403[/C][C]5.52017e-05[/C][/ROW]
[ROW][C]105[/C][C]0.999939[/C][C]0.00012165[/C][C]6.08252e-05[/C][/ROW]
[ROW][C]106[/C][C]0.999951[/C][C]9.83907e-05[/C][C]4.91953e-05[/C][/ROW]
[ROW][C]107[/C][C]0.999955[/C][C]9.06219e-05[/C][C]4.5311e-05[/C][/ROW]
[ROW][C]108[/C][C]0.999949[/C][C]0.000101851[/C][C]5.09255e-05[/C][/ROW]
[ROW][C]109[/C][C]0.999971[/C][C]5.80105e-05[/C][C]2.90052e-05[/C][/ROW]
[ROW][C]110[/C][C]0.999974[/C][C]5.21124e-05[/C][C]2.60562e-05[/C][/ROW]
[ROW][C]111[/C][C]0.999974[/C][C]5.12315e-05[/C][C]2.56157e-05[/C][/ROW]
[ROW][C]112[/C][C]0.999982[/C][C]3.5045e-05[/C][C]1.75225e-05[/C][/ROW]
[ROW][C]113[/C][C]0.999983[/C][C]3.40975e-05[/C][C]1.70487e-05[/C][/ROW]
[ROW][C]114[/C][C]0.999987[/C][C]2.55355e-05[/C][C]1.27677e-05[/C][/ROW]
[ROW][C]115[/C][C]0.999984[/C][C]3.27858e-05[/C][C]1.63929e-05[/C][/ROW]
[ROW][C]116[/C][C]0.999985[/C][C]2.96508e-05[/C][C]1.48254e-05[/C][/ROW]
[ROW][C]117[/C][C]0.999978[/C][C]4.30003e-05[/C][C]2.15002e-05[/C][/ROW]
[ROW][C]118[/C][C]0.999993[/C][C]1.43071e-05[/C][C]7.15353e-06[/C][/ROW]
[ROW][C]119[/C][C]0.999989[/C][C]2.10966e-05[/C][C]1.05483e-05[/C][/ROW]
[ROW][C]120[/C][C]0.999985[/C][C]3.03069e-05[/C][C]1.51535e-05[/C][/ROW]
[ROW][C]121[/C][C]0.999979[/C][C]4.16195e-05[/C][C]2.08097e-05[/C][/ROW]
[ROW][C]122[/C][C]0.999971[/C][C]5.81445e-05[/C][C]2.90723e-05[/C][/ROW]
[ROW][C]123[/C][C]0.999962[/C][C]7.51193e-05[/C][C]3.75596e-05[/C][/ROW]
[ROW][C]124[/C][C]0.999948[/C][C]0.000104974[/C][C]5.24868e-05[/C][/ROW]
[ROW][C]125[/C][C]0.999932[/C][C]0.000135659[/C][C]6.78295e-05[/C][/ROW]
[ROW][C]126[/C][C]0.999909[/C][C]0.00018214[/C][C]9.10702e-05[/C][/ROW]
[ROW][C]127[/C][C]0.999895[/C][C]0.000210905[/C][C]0.000105453[/C][/ROW]
[ROW][C]128[/C][C]0.999889[/C][C]0.00022252[/C][C]0.00011126[/C][/ROW]
[ROW][C]129[/C][C]0.999854[/C][C]0.000292358[/C][C]0.000146179[/C][/ROW]
[ROW][C]130[/C][C]0.999805[/C][C]0.000390189[/C][C]0.000195095[/C][/ROW]
[ROW][C]131[/C][C]0.999765[/C][C]0.000469902[/C][C]0.000234951[/C][/ROW]
[ROW][C]132[/C][C]0.999683[/C][C]0.000634971[/C][C]0.000317486[/C][/ROW]
[ROW][C]133[/C][C]0.999793[/C][C]0.000414907[/C][C]0.000207453[/C][/ROW]
[ROW][C]134[/C][C]0.999719[/C][C]0.000561873[/C][C]0.000280936[/C][/ROW]
[ROW][C]135[/C][C]0.999625[/C][C]0.000750034[/C][C]0.000375017[/C][/ROW]
[ROW][C]136[/C][C]0.999791[/C][C]0.000418516[/C][C]0.000209258[/C][/ROW]
[ROW][C]137[/C][C]0.99973[/C][C]0.000539283[/C][C]0.000269641[/C][/ROW]
[ROW][C]138[/C][C]0.999743[/C][C]0.000513142[/C][C]0.000256571[/C][/ROW]
[ROW][C]139[/C][C]0.999667[/C][C]0.000665422[/C][C]0.000332711[/C][/ROW]
[ROW][C]140[/C][C]0.999617[/C][C]0.000766682[/C][C]0.000383341[/C][/ROW]
[ROW][C]141[/C][C]0.999492[/C][C]0.0010161[/C][C]0.00050805[/C][/ROW]
[ROW][C]142[/C][C]0.99938[/C][C]0.00124019[/C][C]0.000620095[/C][/ROW]
[ROW][C]143[/C][C]0.999412[/C][C]0.00117555[/C][C]0.000587776[/C][/ROW]
[ROW][C]144[/C][C]0.999238[/C][C]0.00152496[/C][C]0.000762479[/C][/ROW]
[ROW][C]145[/C][C]0.998995[/C][C]0.00200995[/C][C]0.00100498[/C][/ROW]
[ROW][C]146[/C][C]0.998714[/C][C]0.00257297[/C][C]0.00128648[/C][/ROW]
[ROW][C]147[/C][C]0.998385[/C][C]0.00323019[/C][C]0.00161509[/C][/ROW]
[ROW][C]148[/C][C]0.998347[/C][C]0.00330583[/C][C]0.00165291[/C][/ROW]
[ROW][C]149[/C][C]0.997958[/C][C]0.00408342[/C][C]0.00204171[/C][/ROW]
[ROW][C]150[/C][C]0.997325[/C][C]0.00535042[/C][C]0.00267521[/C][/ROW]
[ROW][C]151[/C][C]0.997706[/C][C]0.00458799[/C][C]0.00229399[/C][/ROW]
[ROW][C]152[/C][C]0.997052[/C][C]0.00589692[/C][C]0.00294846[/C][/ROW]
[ROW][C]153[/C][C]0.996583[/C][C]0.00683346[/C][C]0.00341673[/C][/ROW]
[ROW][C]154[/C][C]0.995681[/C][C]0.00863707[/C][C]0.00431853[/C][/ROW]
[ROW][C]155[/C][C]0.994652[/C][C]0.0106954[/C][C]0.00534769[/C][/ROW]
[ROW][C]156[/C][C]0.993308[/C][C]0.0133849[/C][C]0.00669247[/C][/ROW]
[ROW][C]157[/C][C]0.993986[/C][C]0.0120273[/C][C]0.00601366[/C][/ROW]
[ROW][C]158[/C][C]0.993721[/C][C]0.0125584[/C][C]0.00627921[/C][/ROW]
[ROW][C]159[/C][C]0.992561[/C][C]0.014879[/C][C]0.00743948[/C][/ROW]
[ROW][C]160[/C][C]0.990714[/C][C]0.0185729[/C][C]0.00928645[/C][/ROW]
[ROW][C]161[/C][C]0.988367[/C][C]0.0232659[/C][C]0.011633[/C][/ROW]
[ROW][C]162[/C][C]0.985503[/C][C]0.0289939[/C][C]0.0144969[/C][/ROW]
[ROW][C]163[/C][C]0.994071[/C][C]0.011857[/C][C]0.0059285[/C][/ROW]
[ROW][C]164[/C][C]0.992621[/C][C]0.0147575[/C][C]0.00737875[/C][/ROW]
[ROW][C]165[/C][C]0.991005[/C][C]0.0179901[/C][C]0.00899505[/C][/ROW]
[ROW][C]166[/C][C]0.98924[/C][C]0.0215206[/C][C]0.0107603[/C][/ROW]
[ROW][C]167[/C][C]0.995567[/C][C]0.00886644[/C][C]0.00443322[/C][/ROW]
[ROW][C]168[/C][C]0.994972[/C][C]0.0100557[/C][C]0.00502783[/C][/ROW]
[ROW][C]169[/C][C]0.99374[/C][C]0.0125191[/C][C]0.00625955[/C][/ROW]
[ROW][C]170[/C][C]0.991987[/C][C]0.0160258[/C][C]0.00801289[/C][/ROW]
[ROW][C]171[/C][C]0.992544[/C][C]0.014911[/C][C]0.00745551[/C][/ROW]
[ROW][C]172[/C][C]0.991577[/C][C]0.0168464[/C][C]0.00842322[/C][/ROW]
[ROW][C]173[/C][C]0.997229[/C][C]0.00554201[/C][C]0.00277101[/C][/ROW]
[ROW][C]174[/C][C]0.996363[/C][C]0.00727412[/C][C]0.00363706[/C][/ROW]
[ROW][C]175[/C][C]0.995581[/C][C]0.00883781[/C][C]0.00441891[/C][/ROW]
[ROW][C]176[/C][C]0.994387[/C][C]0.0112251[/C][C]0.00561256[/C][/ROW]
[ROW][C]177[/C][C]0.998353[/C][C]0.00329474[/C][C]0.00164737[/C][/ROW]
[ROW][C]178[/C][C]0.997893[/C][C]0.00421327[/C][C]0.00210663[/C][/ROW]
[ROW][C]179[/C][C]0.997318[/C][C]0.0053648[/C][C]0.0026824[/C][/ROW]
[ROW][C]180[/C][C]0.998547[/C][C]0.00290633[/C][C]0.00145317[/C][/ROW]
[ROW][C]181[/C][C]0.999296[/C][C]0.00140834[/C][C]0.000704171[/C][/ROW]
[ROW][C]182[/C][C]0.999061[/C][C]0.00187878[/C][C]0.000939391[/C][/ROW]
[ROW][C]183[/C][C]0.99875[/C][C]0.00250084[/C][C]0.00125042[/C][/ROW]
[ROW][C]184[/C][C]0.998443[/C][C]0.00311377[/C][C]0.00155688[/C][/ROW]
[ROW][C]185[/C][C]0.997978[/C][C]0.00404311[/C][C]0.00202155[/C][/ROW]
[ROW][C]186[/C][C]0.997384[/C][C]0.00523275[/C][C]0.00261638[/C][/ROW]
[ROW][C]187[/C][C]0.997354[/C][C]0.00529231[/C][C]0.00264615[/C][/ROW]
[ROW][C]188[/C][C]0.997738[/C][C]0.0045241[/C][C]0.00226205[/C][/ROW]
[ROW][C]189[/C][C]0.996994[/C][C]0.00601203[/C][C]0.00300602[/C][/ROW]
[ROW][C]190[/C][C]0.996375[/C][C]0.00725063[/C][C]0.00362532[/C][/ROW]
[ROW][C]191[/C][C]0.996931[/C][C]0.00613876[/C][C]0.00306938[/C][/ROW]
[ROW][C]192[/C][C]0.996125[/C][C]0.00774908[/C][C]0.00387454[/C][/ROW]
[ROW][C]193[/C][C]0.995162[/C][C]0.00967515[/C][C]0.00483757[/C][/ROW]
[ROW][C]194[/C][C]0.994856[/C][C]0.0102878[/C][C]0.00514389[/C][/ROW]
[ROW][C]195[/C][C]0.994362[/C][C]0.0112755[/C][C]0.00563773[/C][/ROW]
[ROW][C]196[/C][C]0.992925[/C][C]0.0141504[/C][C]0.00707518[/C][/ROW]
[ROW][C]197[/C][C]0.990839[/C][C]0.0183211[/C][C]0.00916055[/C][/ROW]
[ROW][C]198[/C][C]0.989658[/C][C]0.0206839[/C][C]0.0103419[/C][/ROW]
[ROW][C]199[/C][C]0.987547[/C][C]0.0249055[/C][C]0.0124527[/C][/ROW]
[ROW][C]200[/C][C]0.992247[/C][C]0.0155059[/C][C]0.00775295[/C][/ROW]
[ROW][C]201[/C][C]0.990311[/C][C]0.0193777[/C][C]0.00968884[/C][/ROW]
[ROW][C]202[/C][C]0.987451[/C][C]0.025098[/C][C]0.012549[/C][/ROW]
[ROW][C]203[/C][C]0.985699[/C][C]0.0286024[/C][C]0.0143012[/C][/ROW]
[ROW][C]204[/C][C]0.983708[/C][C]0.0325835[/C][C]0.0162917[/C][/ROW]
[ROW][C]205[/C][C]0.981326[/C][C]0.0373478[/C][C]0.0186739[/C][/ROW]
[ROW][C]206[/C][C]0.976943[/C][C]0.0461149[/C][C]0.0230574[/C][/ROW]
[ROW][C]207[/C][C]0.971825[/C][C]0.0563499[/C][C]0.028175[/C][/ROW]
[ROW][C]208[/C][C]0.964951[/C][C]0.0700974[/C][C]0.0350487[/C][/ROW]
[ROW][C]209[/C][C]0.957266[/C][C]0.0854687[/C][C]0.0427343[/C][/ROW]
[ROW][C]210[/C][C]0.959177[/C][C]0.0816458[/C][C]0.0408229[/C][/ROW]
[ROW][C]211[/C][C]0.950594[/C][C]0.0988114[/C][C]0.0494057[/C][/ROW]
[ROW][C]212[/C][C]0.941324[/C][C]0.117353[/C][C]0.0586765[/C][/ROW]
[ROW][C]213[/C][C]0.930261[/C][C]0.139477[/C][C]0.0697385[/C][/ROW]
[ROW][C]214[/C][C]0.963491[/C][C]0.0730173[/C][C]0.0365087[/C][/ROW]
[ROW][C]215[/C][C]0.984273[/C][C]0.0314537[/C][C]0.0157268[/C][/ROW]
[ROW][C]216[/C][C]0.988896[/C][C]0.0222075[/C][C]0.0111037[/C][/ROW]
[ROW][C]217[/C][C]0.985405[/C][C]0.02919[/C][C]0.014595[/C][/ROW]
[ROW][C]218[/C][C]0.981963[/C][C]0.0360748[/C][C]0.0180374[/C][/ROW]
[ROW][C]219[/C][C]0.977382[/C][C]0.0452352[/C][C]0.0226176[/C][/ROW]
[ROW][C]220[/C][C]0.974083[/C][C]0.051834[/C][C]0.025917[/C][/ROW]
[ROW][C]221[/C][C]0.975755[/C][C]0.0484902[/C][C]0.0242451[/C][/ROW]
[ROW][C]222[/C][C]0.970364[/C][C]0.0592714[/C][C]0.0296357[/C][/ROW]
[ROW][C]223[/C][C]0.965276[/C][C]0.0694477[/C][C]0.0347239[/C][/ROW]
[ROW][C]224[/C][C]0.955985[/C][C]0.088029[/C][C]0.0440145[/C][/ROW]
[ROW][C]225[/C][C]0.946728[/C][C]0.106543[/C][C]0.0532717[/C][/ROW]
[ROW][C]226[/C][C]0.947238[/C][C]0.105524[/C][C]0.052762[/C][/ROW]
[ROW][C]227[/C][C]0.947618[/C][C]0.104764[/C][C]0.052382[/C][/ROW]
[ROW][C]228[/C][C]0.944482[/C][C]0.111037[/C][C]0.0555184[/C][/ROW]
[ROW][C]229[/C][C]0.931872[/C][C]0.136256[/C][C]0.0681279[/C][/ROW]
[ROW][C]230[/C][C]0.927175[/C][C]0.14565[/C][C]0.0728251[/C][/ROW]
[ROW][C]231[/C][C]0.911675[/C][C]0.176651[/C][C]0.0883254[/C][/ROW]
[ROW][C]232[/C][C]0.891523[/C][C]0.216955[/C][C]0.108477[/C][/ROW]
[ROW][C]233[/C][C]0.92446[/C][C]0.15108[/C][C]0.0755402[/C][/ROW]
[ROW][C]234[/C][C]0.964387[/C][C]0.0712264[/C][C]0.0356132[/C][/ROW]
[ROW][C]235[/C][C]0.96213[/C][C]0.0757397[/C][C]0.0378699[/C][/ROW]
[ROW][C]236[/C][C]0.953853[/C][C]0.0922945[/C][C]0.0461472[/C][/ROW]
[ROW][C]237[/C][C]0.956987[/C][C]0.0860266[/C][C]0.0430133[/C][/ROW]
[ROW][C]238[/C][C]0.961449[/C][C]0.0771019[/C][C]0.0385509[/C][/ROW]
[ROW][C]239[/C][C]0.96887[/C][C]0.0622599[/C][C]0.0311299[/C][/ROW]
[ROW][C]240[/C][C]0.963086[/C][C]0.0738281[/C][C]0.0369141[/C][/ROW]
[ROW][C]241[/C][C]0.953265[/C][C]0.0934704[/C][C]0.0467352[/C][/ROW]
[ROW][C]242[/C][C]0.949718[/C][C]0.100563[/C][C]0.0502817[/C][/ROW]
[ROW][C]243[/C][C]0.936173[/C][C]0.127655[/C][C]0.0638275[/C][/ROW]
[ROW][C]244[/C][C]0.918264[/C][C]0.163471[/C][C]0.0817356[/C][/ROW]
[ROW][C]245[/C][C]0.896929[/C][C]0.206143[/C][C]0.103071[/C][/ROW]
[ROW][C]246[/C][C]0.874704[/C][C]0.250593[/C][C]0.125296[/C][/ROW]
[ROW][C]247[/C][C]0.876932[/C][C]0.246135[/C][C]0.123068[/C][/ROW]
[ROW][C]248[/C][C]0.885532[/C][C]0.228936[/C][C]0.114468[/C][/ROW]
[ROW][C]249[/C][C]0.862028[/C][C]0.275943[/C][C]0.137972[/C][/ROW]
[ROW][C]250[/C][C]0.854977[/C][C]0.290046[/C][C]0.145023[/C][/ROW]
[ROW][C]251[/C][C]0.836936[/C][C]0.326128[/C][C]0.163064[/C][/ROW]
[ROW][C]252[/C][C]0.863979[/C][C]0.272042[/C][C]0.136021[/C][/ROW]
[ROW][C]253[/C][C]0.828798[/C][C]0.342404[/C][C]0.171202[/C][/ROW]
[ROW][C]254[/C][C]0.797316[/C][C]0.405368[/C][C]0.202684[/C][/ROW]
[ROW][C]255[/C][C]0.752627[/C][C]0.494747[/C][C]0.247373[/C][/ROW]
[ROW][C]256[/C][C]0.719523[/C][C]0.560954[/C][C]0.280477[/C][/ROW]
[ROW][C]257[/C][C]0.878053[/C][C]0.243894[/C][C]0.121947[/C][/ROW]
[ROW][C]258[/C][C]0.841226[/C][C]0.317547[/C][C]0.158774[/C][/ROW]
[ROW][C]259[/C][C]0.866937[/C][C]0.266126[/C][C]0.133063[/C][/ROW]
[ROW][C]260[/C][C]0.829638[/C][C]0.340723[/C][C]0.170362[/C][/ROW]
[ROW][C]261[/C][C]0.84877[/C][C]0.30246[/C][C]0.15123[/C][/ROW]
[ROW][C]262[/C][C]0.815973[/C][C]0.368053[/C][C]0.184027[/C][/ROW]
[ROW][C]263[/C][C]0.778543[/C][C]0.442914[/C][C]0.221457[/C][/ROW]
[ROW][C]264[/C][C]0.719275[/C][C]0.56145[/C][C]0.280725[/C][/ROW]
[ROW][C]265[/C][C]0.690541[/C][C]0.618918[/C][C]0.309459[/C][/ROW]
[ROW][C]266[/C][C]0.632086[/C][C]0.735827[/C][C]0.367914[/C][/ROW]
[ROW][C]267[/C][C]0.552476[/C][C]0.895048[/C][C]0.447524[/C][/ROW]
[ROW][C]268[/C][C]0.491889[/C][C]0.983779[/C][C]0.508111[/C][/ROW]
[ROW][C]269[/C][C]0.482649[/C][C]0.965298[/C][C]0.517351[/C][/ROW]
[ROW][C]270[/C][C]0.538789[/C][C]0.922422[/C][C]0.461211[/C][/ROW]
[ROW][C]271[/C][C]0.533861[/C][C]0.932278[/C][C]0.466139[/C][/ROW]
[ROW][C]272[/C][C]0.532906[/C][C]0.934187[/C][C]0.467094[/C][/ROW]
[ROW][C]273[/C][C]0.427949[/C][C]0.855899[/C][C]0.572051[/C][/ROW]
[ROW][C]274[/C][C]0.342717[/C][C]0.685433[/C][C]0.657283[/C][/ROW]
[ROW][C]275[/C][C]0.243658[/C][C]0.487316[/C][C]0.756342[/C][/ROW]
[ROW][C]276[/C][C]0.152319[/C][C]0.304638[/C][C]0.847681[/C][/ROW]
[ROW][C]277[/C][C]0.171112[/C][C]0.342225[/C][C]0.828888[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266679&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266679&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.01246970.02493930.98753
110.1041870.2083740.895813
120.4614170.9228340.538583
130.6277180.7445650.372282
140.5700150.859970.429985
150.4964090.9928180.503591
160.9999921.52973e-057.64863e-06
170.9999872.5116e-051.2558e-05
180.9999755.09556e-052.54778e-05
190.9999637.3193e-053.65965e-05
200.9999647.10466e-053.55233e-05
210.9999390.0001226546.13271e-05
220.9998890.0002216720.000110836
230.9998420.0003160050.000158002
240.9997770.0004469740.000223487
250.9996270.0007457430.000372871
260.9995820.0008359980.000417999
270.999810.0003795830.000189791
280.999984.0796e-052.0398e-05
290.9999941.24296e-056.21481e-06
300.9999931.30554e-056.5277e-06
310.9999882.32667e-051.16334e-05
320.9999852.94681e-051.47341e-05
330.9999774.59189e-052.29594e-05
340.9999666.87915e-053.43958e-05
350.9999735.36757e-052.68378e-05
360.9999588.44698e-054.22349e-05
370.9999410.0001180535.90264e-05
380.9999872.5048e-051.2524e-05
390.9999813.85028e-051.92514e-05
400.9999794.2359e-052.11795e-05
410.999975.93011e-052.96506e-05
420.9999813.72484e-051.86242e-05
430.9999745.15763e-052.57882e-05
440.9999666.88234e-053.44117e-05
450.9999519.82529e-054.91264e-05
460.9999330.0001349376.74683e-05
470.9999150.0001705248.52621e-05
480.9998970.0002064110.000103205
490.9998610.0002775720.000138786
500.9998120.0003769110.000188456
510.9997580.0004846030.000242302
520.9996420.0007155540.000357777
530.9996690.0006624610.00033123
540.9996720.0006567290.000328364
550.999620.0007608860.000380443
560.9996630.0006743270.000337164
570.9995590.0008829780.000441489
580.999520.0009592070.000479604
590.9995960.0008075820.000403791
600.999690.000619080.00030954
610.9999862.7235e-051.36175e-05
620.9999823.53835e-051.76918e-05
630.999992.05402e-051.02701e-05
640.9999872.60539e-051.3027e-05
650.9999823.53629e-051.76814e-05
660.9999882.46004e-051.23002e-05
670.9999967.26128e-063.63064e-06
680.9999984.82419e-062.41209e-06
690.9999967.21172e-063.60586e-06
700.9999941.1105e-055.55249e-06
710.9999931.46697e-057.33487e-06
720.999992.00832e-051.00416e-05
730.9999872.52949e-051.26475e-05
740.9999843.2415e-051.62075e-05
750.9999882.33754e-051.16877e-05
760.9999892.11396e-051.05698e-05
770.9999862.73891e-051.36945e-05
780.9999843.2444e-051.6222e-05
790.999984.02026e-052.01013e-05
800.9999823.60206e-051.80103e-05
810.999984.08259e-052.0413e-05
820.9999745.11499e-052.55749e-05
830.9999852.96821e-051.48411e-05
840.999984.05508e-052.02754e-05
850.9999735.33196e-052.66598e-05
860.9999696.19711e-053.09856e-05
870.9999578.66014e-054.33007e-05
880.9999823.54687e-051.77344e-05
890.9999843.29217e-051.64608e-05
900.9999833.41949e-051.70974e-05
910.9999794.1832e-052.0916e-05
920.999984.09556e-052.04778e-05
930.9999735.37343e-052.68671e-05
940.9999754.93274e-052.46637e-05
950.9999666.78682e-053.39341e-05
960.9999745.26099e-052.6305e-05
970.9999696.28203e-053.14101e-05
980.9999647.14665e-053.57333e-05
990.9999745.29758e-052.64879e-05
1000.9999735.31479e-052.6574e-05
1010.9999735.4083e-052.70415e-05
1020.9999627.55878e-053.77939e-05
1030.9999480.0001039445.1972e-05
1040.9999450.0001104035.52017e-05
1050.9999390.000121656.08252e-05
1060.9999519.83907e-054.91953e-05
1070.9999559.06219e-054.5311e-05
1080.9999490.0001018515.09255e-05
1090.9999715.80105e-052.90052e-05
1100.9999745.21124e-052.60562e-05
1110.9999745.12315e-052.56157e-05
1120.9999823.5045e-051.75225e-05
1130.9999833.40975e-051.70487e-05
1140.9999872.55355e-051.27677e-05
1150.9999843.27858e-051.63929e-05
1160.9999852.96508e-051.48254e-05
1170.9999784.30003e-052.15002e-05
1180.9999931.43071e-057.15353e-06
1190.9999892.10966e-051.05483e-05
1200.9999853.03069e-051.51535e-05
1210.9999794.16195e-052.08097e-05
1220.9999715.81445e-052.90723e-05
1230.9999627.51193e-053.75596e-05
1240.9999480.0001049745.24868e-05
1250.9999320.0001356596.78295e-05
1260.9999090.000182149.10702e-05
1270.9998950.0002109050.000105453
1280.9998890.000222520.00011126
1290.9998540.0002923580.000146179
1300.9998050.0003901890.000195095
1310.9997650.0004699020.000234951
1320.9996830.0006349710.000317486
1330.9997930.0004149070.000207453
1340.9997190.0005618730.000280936
1350.9996250.0007500340.000375017
1360.9997910.0004185160.000209258
1370.999730.0005392830.000269641
1380.9997430.0005131420.000256571
1390.9996670.0006654220.000332711
1400.9996170.0007666820.000383341
1410.9994920.00101610.00050805
1420.999380.001240190.000620095
1430.9994120.001175550.000587776
1440.9992380.001524960.000762479
1450.9989950.002009950.00100498
1460.9987140.002572970.00128648
1470.9983850.003230190.00161509
1480.9983470.003305830.00165291
1490.9979580.004083420.00204171
1500.9973250.005350420.00267521
1510.9977060.004587990.00229399
1520.9970520.005896920.00294846
1530.9965830.006833460.00341673
1540.9956810.008637070.00431853
1550.9946520.01069540.00534769
1560.9933080.01338490.00669247
1570.9939860.01202730.00601366
1580.9937210.01255840.00627921
1590.9925610.0148790.00743948
1600.9907140.01857290.00928645
1610.9883670.02326590.011633
1620.9855030.02899390.0144969
1630.9940710.0118570.0059285
1640.9926210.01475750.00737875
1650.9910050.01799010.00899505
1660.989240.02152060.0107603
1670.9955670.008866440.00443322
1680.9949720.01005570.00502783
1690.993740.01251910.00625955
1700.9919870.01602580.00801289
1710.9925440.0149110.00745551
1720.9915770.01684640.00842322
1730.9972290.005542010.00277101
1740.9963630.007274120.00363706
1750.9955810.008837810.00441891
1760.9943870.01122510.00561256
1770.9983530.003294740.00164737
1780.9978930.004213270.00210663
1790.9973180.00536480.0026824
1800.9985470.002906330.00145317
1810.9992960.001408340.000704171
1820.9990610.001878780.000939391
1830.998750.002500840.00125042
1840.9984430.003113770.00155688
1850.9979780.004043110.00202155
1860.9973840.005232750.00261638
1870.9973540.005292310.00264615
1880.9977380.00452410.00226205
1890.9969940.006012030.00300602
1900.9963750.007250630.00362532
1910.9969310.006138760.00306938
1920.9961250.007749080.00387454
1930.9951620.009675150.00483757
1940.9948560.01028780.00514389
1950.9943620.01127550.00563773
1960.9929250.01415040.00707518
1970.9908390.01832110.00916055
1980.9896580.02068390.0103419
1990.9875470.02490550.0124527
2000.9922470.01550590.00775295
2010.9903110.01937770.00968884
2020.9874510.0250980.012549
2030.9856990.02860240.0143012
2040.9837080.03258350.0162917
2050.9813260.03734780.0186739
2060.9769430.04611490.0230574
2070.9718250.05634990.028175
2080.9649510.07009740.0350487
2090.9572660.08546870.0427343
2100.9591770.08164580.0408229
2110.9505940.09881140.0494057
2120.9413240.1173530.0586765
2130.9302610.1394770.0697385
2140.9634910.07301730.0365087
2150.9842730.03145370.0157268
2160.9888960.02220750.0111037
2170.9854050.029190.014595
2180.9819630.03607480.0180374
2190.9773820.04523520.0226176
2200.9740830.0518340.025917
2210.9757550.04849020.0242451
2220.9703640.05927140.0296357
2230.9652760.06944770.0347239
2240.9559850.0880290.0440145
2250.9467280.1065430.0532717
2260.9472380.1055240.052762
2270.9476180.1047640.052382
2280.9444820.1110370.0555184
2290.9318720.1362560.0681279
2300.9271750.145650.0728251
2310.9116750.1766510.0883254
2320.8915230.2169550.108477
2330.924460.151080.0755402
2340.9643870.07122640.0356132
2350.962130.07573970.0378699
2360.9538530.09229450.0461472
2370.9569870.08602660.0430133
2380.9614490.07710190.0385509
2390.968870.06225990.0311299
2400.9630860.07382810.0369141
2410.9532650.09347040.0467352
2420.9497180.1005630.0502817
2430.9361730.1276550.0638275
2440.9182640.1634710.0817356
2450.8969290.2061430.103071
2460.8747040.2505930.125296
2470.8769320.2461350.123068
2480.8855320.2289360.114468
2490.8620280.2759430.137972
2500.8549770.2900460.145023
2510.8369360.3261280.163064
2520.8639790.2720420.136021
2530.8287980.3424040.171202
2540.7973160.4053680.202684
2550.7526270.4947470.247373
2560.7195230.5609540.280477
2570.8780530.2438940.121947
2580.8412260.3175470.158774
2590.8669370.2661260.133063
2600.8296380.3407230.170362
2610.848770.302460.15123
2620.8159730.3680530.184027
2630.7785430.4429140.221457
2640.7192750.561450.280725
2650.6905410.6189180.309459
2660.6320860.7358270.367914
2670.5524760.8950480.447524
2680.4918890.9837790.508111
2690.4826490.9652980.517351
2700.5387890.9224220.461211
2710.5338610.9322780.466139
2720.5329060.9341870.467094
2730.4279490.8558990.572051
2740.3427170.6854330.657283
2750.2436580.4873160.756342
2760.1523190.3046380.847681
2770.1711120.3422250.828888






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1600.597015NOK
5% type I error level1980.738806NOK
10% type I error level2160.80597NOK

\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 & 160 & 0.597015 & NOK \tabularnewline
5% type I error level & 198 & 0.738806 & NOK \tabularnewline
10% type I error level & 216 & 0.80597 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266679&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]160[/C][C]0.597015[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]198[/C][C]0.738806[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]216[/C][C]0.80597[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266679&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266679&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1600.597015NOK
5% type I error level1980.738806NOK
10% type I error level2160.80597NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 7 ; 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')
}