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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 computationThu, 11 Dec 2014 18:35:50 +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/11/t1418322964pinavs5ko19wbtp.htm/, Retrieved Thu, 16 May 2024 13:18:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266259, Retrieved Thu, 16 May 2024 13:18:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact67

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-12-11 18:35:50] [6398a3f6f1f2f5e55f0ec79c736f94f8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12.9 0.50 0.00 0.67 0.67 0.50 1.00
12.2 1.00 0.50 0.33 0.83 0.50 0.89
12.8 1.00 0.00 0.67 1.00 0.40 0.89
7.4 0.00 0.00 0.00 0.83 0.50 0.89
6.7 1.00 1.00 0.00 0.67 0.70 0.89
12.6 0.50 0.50 0.00 0.00 0.30 0.78
14.8 0.00 0.50 0.67 0.83 0.40 0.89
13.3 1.00 1.00 0.67 0.50 0.40 1.00
11.1 0.00 0.50 0.00 0.83 0.70 0.89
8.2 0.50 0.50 0.67 0.33 0.60 0.78
11.4 0.50 0.00 1.00 0.50 0.60 1.00
6.4 0.50 0.50 0.00 0.67 0.20 0.78
10.6 0.50 0.50 0.00 1.00 0.40 0.89
12.0 1.00 0.00 0.67 0.50 0.40 0.89
6.3 0.00 0.00 0.33 0.67 0.50 0.89
11.3 0.50 0.00 0.67 0.17 0.30 0.89
11.9 0.50 0.50 0.33 0.83 0.40 0.89
9.3 1.00 0.50 0.33 0.67 0.70 0.67
9.6 1.00 0.00 0.33 0.67 0.50 1.00
10.0 1.00 0.00 0.00 0.67 0.20 0.78
6.4 0.50 0.00 0.67 0.50 0.30 0.78
13.8 1.00 0.00 0.33 1.00 0.60 0.89
10.8 1.00 0.00 0.33 0.83 0.60 0.78
13.8 1.00 0.00 0.33 0.83 0.20 0.89
11.7 0.00 1.00 0.67 1.00 0.70 0.89
10.9 0.00 0.00 0.00 0.67 0.20 0.33
16.1 1.00 1.00 0.33 1.00 1.00 1.00
13.4 0.50 0.00 0.67 0.83 0.40 0.89
9.9 1.00 0.00 1.00 1.00 0.40 0.89
11.5 0.50 0.00 0.67 0.83 0.20 0.67
8.3 1.00 0.00 0.33 0.67 0.40 0.56
11.7 1.00 0.50 0.00 0.67 0.40 0.89
9.0 0.50 0.50 0.67 1.00 0.70 0.89
9.7 0.50 0.00 0.67 0.67 0.20 1.00
10.8 0.50 0.00 1.00 1.00 0.60 0.78
10.3 0.50 0.50 1.00 1.00 0.30 0.78
10.4 0.00 0.00 0.33 0.50 0.30 0.33
12.7 0.00 0.50 0.00 0.67 0.20 0.78
9.3 0.50 0.50 0.67 0.83 0.50 0.89
11.8 1.00 0.50 0.67 1.00 0.70 0.89
5.9 0.50 0.50 0.67 1.00 0.60 0.78
11.4 1.00 0.50 0.67 1.00 0.40 0.89
13.0 1.00 0.50 0.33 1.00 0.60 0.89
10.8 1.00 0.00 1.00 1.00 0.40 1.00
12.3 1.00 0.00 0.67 0.83 0.30 0.67
11.3 0.50 0.50 0.67 0.83 0.50 1.00
11.8 1.00 0.00 0.00 0.50 0.20 0.89
7.9 1.00 0.50 0.00 0.83 0.30 0.89
12.7 1.00 0.00 0.00 0.17 0.50 0.89
12.3 1.00 0.50 1.00 0.83 0.70 0.78
11.6 0.50 1.00 0.67 1.00 0.40 0.89
6.7 0.50 0.00 0.00 1.00 0.30 0.78
10.9 1.00 1.00 0.67 0.67 0.20 0.78
12.1 0.50 0.00 0.00 1.00 0.50 1.00
13.3 0.00 0.50 0.00 1.00 0.40 0.78
10.1 1.00 1.00 0.67 1.00 0.60 1.00
5.7 1.00 0.00 1.00 0.83 0.40 0.78
14.3 0.50 0.00 0.00 0.33 0.40 0.67
8.0 0.00 0.00 0.33 0.33 0.20 0.33
13.3 1.00 0.50 0.67 1.00 0.90 1.00
9.3 0.50 1.00 0.67 1.00 0.80 1.00
12.5 1.00 0.50 0.00 0.83 0.80 0.78
7.6 1.00 0.50 1.00 1.00 0.30 0.67
15.9 0.50 0.00 0.67 0.83 0.20 1.00
9.2 1.00 0.50 0.00 0.67 0.40 0.89
9.1 1.00 0.00 1.00 0.83 0.20 0.89
11.1 1.00 0.50 0.67 0.67 0.20 0.78
13.0 1.00 0.00 0.67 0.83 0.10 1.00
14.5 0.00 0.50 1.00 0.67 0.40 0.56
12.2 0.50 0.50 0.00 1.00 0.50 0.67
12.3 1.00 0.50 0.33 0.83 0.80 0.89
11.4 0.50 0.00 0.67 0.67 0.40 0.89
8.8 0.50 0.50 0.33 0.83 0.60 0.89
14.6 1.00 0.50 0.67 0.83 0.50 0.89
12.6 0.00 0.00 0.00 0.67 0.30 0.78
13.0 0.00 0.50 0.00 0.33 0.40 1.00
12.6 0.50 0.50 0.67 0.83 0.60 1.00
13.2 0.50 0.00 0.33 1.00 0.40 0.89
9.9 0.00 0.00 0.00 0.83 0.30 0.44
7.7 1.00 1.00 0.00 0.83 0.80 0.78
10.5 1.00 1.00 0.33 0.50 0.60 0.89
13.4 0.00 0.00 0.00 0.50 0.30 0.67
10.9 1.00 0.50 0.67 0.83 0.50 0.78
4.3 1.00 0.00 0.33 1.00 0.40 0.78
10.3 0.00 0.00 0.67 0.33 0.30 0.33
11.8 0.50 0.00 0.33 1.00 0.70 0.89
11.2 0.50 0.50 0.33 0.67 0.20 0.89
11.4 1.00 0.00 1.00 0.83 0.40 0.89
8.6 0.50 0.50 0.67 1.00 0.60 0.89
13.2 1.00 0.00 0.00 0.83 0.60 0.56
12.6 0.50 0.50 0.67 0.83 0.60 0.67
5.6 1.00 0.50 0.33 1.00 0.40 0.67
9.9 1.00 0.00 0.00 0.83 0.60 0.78
8.8 1.00 0.50 0.33 1.00 0.50 0.78
7.7 1.00 0.00 0.00 0.83 0.50 0.78
9.0 1.00 0.00 0.00 0.67 0.60 0.89
7.3 1.00 0.50 0.33 0.83 0.80 1.00
11.4 0.50 1.00 0.67 0.83 0.50 0.89
13.6 1.00 0.50 0.67 0.83 0.60 0.89
7.9 1.00 0.50 0.67 0.83 0.40 0.78
10.7 1.00 0.50 0.67 0.67 0.30 1.00
10.3 0.50 0.00 1.00 0.83 0.30 0.78
8.3 0.00 0.00 0.00 0.00 0.20 0.67
9.6 0.50 0.00 0.00 0.83 0.40 0.78
14.2 0.50 0.00 0.00 1.00 0.50 0.89
8.5 0.00 0.50 0.00 0.17 0.30 0.67
13.5 0.00 0.50 0.00 0.17 0.40 0.22
4.9 0.00 0.00 1.00 0.50 0.50 0.44
6.4 1.00 0.00 0.67 0.50 0.30 0.89
9.6 0.50 0.00 0.00 1.00 0.50 0.67
11.6 0.50 0.00 0.67 0.67 0.40 0.89
11.1 1.00 0.00 0.67 0.83 0.40 0.67
4.35 1.00 1.00 0.00 1.00 0.60 0.78
12.7 1.00 1.00 0.67 1.00 0.30 0.78
18.1 0.50 1.00 0.33 1.00 0.40 0.78
17.85 1.00 1.00 1.00 1.00 0.30 1.00
16.6 1.00 1.00 1.00 1.00 1.00 0.78
12.6 0.50 0.00 0.00 1.00 0.40 0.67
17.1 1.00 0.50 1.00 0.83 0.80 0.89
19.1 1.00 1.00 0.67 1.00 0.30 0.89
16.1 1.00 0.00 0.67 0.83 0.50 1.00
13.35 0.50 0.00 0.00 1.00 0.40 0.78
18.4 1.00 0.00 0.67 0.83 0.30 0.67
14.7 1.00 0.00 1.00 0.83 0.50 0.89
10.6 1.00 0.00 0.67 1.00 0.30 0.67
12.6 1.00 0.00 0.00 0.67 0.30 0.67
16.2 1.00 0.00 0.00 0.83 0.40 1.00
13.6 0.50 0.00 0.00 1.00 0.30 0.67
18.9 0.50 0.50 0.33 1.00 0.60 1.00
14.1 1.00 1.00 0.67 0.83 0.60 0.89
14.5 1.00 1.00 1.00 1.00 0.40 0.89
16.15 0.00 0.00 0.00 1.00 0.40 1.00
14.75 0.50 0.00 0.67 1.00 0.40 0.67
14.8 1.00 0.50 0.67 0.67 0.30 0.44
12.45 0.00 1.00 0.33 1.00 0.20 0.89
12.65 1.00 0.00 0.67 0.83 0.50 0.56
17.35 1.00 1.00 0.67 1.00 0.40 0.78
8.6 0.00 0.00 0.67 1.00 0.40 1.00
18.4 1.00 0.00 0.67 0.83 0.40 1.00
16.1 0.50 0.50 0.67 0.67 0.30 0.89
11.6 0.50 1.00 0.67 0.83 0.40 0.67
17.75 1.00 0.50 0.33 1.00 0.20 0.89
15.25 0.00 0.00 0.00 0.00 0.00 0.33
17.65 1.00 0.50 0.67 1.00 0.40 0.89
16.35 1.00 1.00 0.00 1.00 0.60 0.78
17.65 0.50 0.00 0.67 0.67 0.40 1.00
13.6 0.50 0.00 0.00 1.00 0.40 0.44
14.35 0.00 0.50 0.00 0.83 0.40 0.67
14.75 0.00 0.50 0.00 0.17 0.20 0.33
18.25 1.00 1.00 1.00 0.83 0.40 0.89
9.9 0.50 0.00 0.00 0.83 0.30 0.89
16 0.00 1.00 0.67 0.83 0.60 1.00
18.25 1.00 0.00 1.00 0.83 0.60 0.89
16.85 1.00 0.00 0.00 0.83 0.40 0.89
14.6 0.50 1.00 0.67 1.00 0.50 1.00
13.85 1.00 0.50 0.00 0.83 0.40 0.89
18.95 1.00 1.00 1.00 1.00 0.60 1.00
15.6 1.00 0.50 0.67 0.83 0.60 0.78
14.85 1.00 0.50 0.67 1.00 0.90 0.78
11.75 0.00 0.50 0.67 0.83 0.40 0.67
18.45 1.00 0.50 1.00 1.00 0.80 0.89
15.9 1.00 0.00 1.00 0.83 0.50 0.67
17.1 0.00 0.00 1.00 0.83 0.40 0.78
16.1 0.50 1.00 0.67 1.00 0.40 0.89
19.9 0.50 1.00 1.00 1.00 0.70 0.89
10.95 1.00 1.00 0.33 1.00 0.40 0.78
18.45 1.00 0.50 0.67 1.00 0.80 1.00
15.1 0.50 1.00 1.00 1.00 0.40 1.00
15 0.50 0.00 0.67 1.00 0.30 1.00
11.35 1.00 0.50 0.67 1.00 0.50 0.67
15.95 1.00 1.00 0.67 1.00 0.80 0.89
18.1 0.50 0.00 0.33 0.83 0.40 1.00
14.6 0.00 0.50 1.00 1.00 1.00 1.00
15.4 1.00 1.00 0.67 1.00 0.50 0.89
15.4 1.00 1.00 0.67 1.00 0.50 0.89
17.6 1.00 0.00 0.33 1.00 0.30 0.89
13.35 1.00 0.50 0.33 0.83 0.30 0.89
19.1 1.00 0.00 0.00 0.50 0.30 0.89
15.35 0.50 0.50 0.33 0.67 0.40 1.00
7.6 1.00 0.00 0.33 1.00 0.50 0.67
13.4 1.00 0.50 0.67 0.67 0.50 1.00
13.9 0.00 0.00 0.00 1.00 0.40 0.89
19.1 0.00 0.50 1.00 1.00 0.70 0.89
15.25 0.50 0.00 0.33 0.50 0.50 0.89
12.9 0.00 1.00 0.33 0.67 0.40 0.89
16.1 1.00 0.00 1.00 0.67 0.70 1.00
17.35 1.00 0.00 1.00 0.67 0.70 1.00
13.15 1.00 0.00 1.00 0.67 0.70 1.00
12.15 1.00 0.00 1.00 0.67 0.70 0.89
12.6 0.00 0.00 0.00 0.67 0.70 0.89
10.35 1.00 0.50 0.67 1.00 0.70 0.89
15.4 0.00 0.50 0.33 0.67 0.10 0.33
9.6 1.00 0.50 0.67 0.67 0.20 0.67
18.2 1.00 0.00 0.33 0.33 0.30 0.56
13.6 0.50 0.00 0.33 0.83 0.60 0.44
14.85 1.00 1.00 1.00 1.00 0.80 1.00
14.75 0.50 0.50 0.33 1.00 0.80 0.89
14.1 0.00 0.00 0.00 0.17 0.00 0.33
14.9 1.00 0.00 0.33 0.67 0.30 0.67
16.25 1.00 0.50 0.33 0.83 0.60 0.67
19.25 1.00 0.00 0.67 0.83 0.50 1.00
13.6 0.50 0.00 0.33 1.00 0.70 0.78
13.6 1.00 0.50 0.00 0.83 0.30 0.67
15.65 0.00 0.00 0.67 1.00 0.30 1.00
12.75 0.50 0.00 0.67 1.00 0.40 0.78
14.6 1.00 0.00 1.00 0.83 0.40 0.89
9.85 1.00 0.00 0.00 0.83 0.10 0.89
12.65 1.00 0.00 0.67 1.00 0.50 0.89
19.2 0.00 0.00 0.00 0.00 0.00 0.00
16.6 0.00 0.50 0.33 1.00 0.40 0.67
11.2 0.50 1.00 0.67 0.83 0.60 1.00
15.25 1.00 0.50 0.33 1.00 0.40 1.00
11.9 1.00 0.50 0.00 0.33 0.10 0.67
13.2 1.00 0.00 0.00 0.83 0.30 0.89
16.35 1.00 0.00 0.67 0.83 0.70 0.89
12.4 1.00 0.00 0.00 0.17 0.30 0.56
15.85 0.00 0.50 0.33 0.83 0.50 0.67
18.15 1.00 1.00 0.67 0.83 0.30 1.00
11.15 1.00 0.50 0.67 0.67 0.60 1.00
15.65 1.00 0.00 1.00 1.00 0.90 1.00
17.75 1.00 0.50 0.00 0.83 0.40 0.67
7.65 0.50 0.50 0.00 1.00 0.30 0.44
12.35 1.00 1.00 0.67 1.00 0.90 0.89
15.6 0.00 0.50 0.00 1.00 0.50 0.44
19.3 0.50 0.50 1.00 1.00 0.30 0.56
15.2 0.50 0.00 0.67 0.83 0.60 0.89
17.1 0.50 0.00 0.33 1.00 0.20 0.67
15.6 1.00 0.50 1.00 0.83 0.40 0.89
18.4 0.50 0.50 0.67 0.83 0.50 1.00
19.05 0.50 0.00 0.67 0.83 0.40 0.78
18.55 0.00 0.00 0.00 0.00 0.00 0.44
19.1 1.00 0.50 0.33 1.00 0.20 0.89
13.1 1.00 0.50 0.67 1.00 0.50 0.89
12.85 0.50 0.00 0.67 1.00 0.30 0.89
9.5 0.00 0.00 0.00 0.00 0.00 0.44
4.5 1.00 0.00 1.00 0.83 0.50 1.00
11.85 1.00 0.00 0.33 0.83 0.60 0.89
13.6 0.50 0.50 0.00 0.83 0.30 0.67
11.7 0.00 0.00 0.00 0.00 0.00 0.33
12.4 0.00 0.50 0.00 0.67 0.30 0.78
13.35 1.00 0.50 0.67 1.00 0.50 0.89
11.4 1.00 0.00 0.00 0.67 0.40 0.78
14.9 0.50 0.00 0.67 0.83 0.50 0.78
19.9 0.50 1.00 1.00 1.00 0.70 0.89
11.2 1.00 0.50 0.67 1.00 0.80 0.78
14.6 1.00 0.50 0.33 1.00 0.60 0.78
17.6 0.50 0.00 0.33 0.83 0.40 0.67
14.05 0.00 0.50 0.33 0.83 0.50 0.89
16.1 1.00 0.50 0.00 1.00 0.50 0.89
13.35 1.00 0.00 0.33 1.00 0.30 0.78
11.85 1.00 0.50 0.00 1.00 0.60 1.00
11.95 0.50 0.00 0.67 0.67 0.30 1.00
14.75 0.50 0.50 1.00 0.83 0.60 0.78
15.15 1.00 0.00 0.33 0.33 0.30 0.78
13.2 1.00 1.00 0.67 1.00 0.70 0.89
16.85 1.00 0.00 1.00 1.00 0.70 0.89
7.85 1.00 0.50 1.00 0.67 0.60 0.67
7.7 0.00 0.50 0.33 1.00 0.50 1.00
12.6 0.50 0.00 0.33 0.83 0.50 0.67
7.85 1.00 0.00 0.00 0.67 0.40 0.56
10.95 1.00 1.00 0.33 1.00 0.40 0.78
12.35 1.00 0.00 1.00 1.00 0.70 1.00
9.95 0.00 0.50 0.00 0.17 0.20 0.67
14.9 0.50 0.00 0.67 0.83 0.50 0.78
16.65 0.00 0.50 0.67 0.83 0.40 0.56
13.4 1.00 1.00 0.67 1.00 0.20 1.00
13.95 0.00 0.00 0.67 0.67 0.50 0.89
15.7 1.00 0.00 0.00 0.50 0.40 0.44
16.85 1.00 1.00 1.00 0.67 0.70 1.00
10.95 0.00 1.00 0.67 0.83 0.60 0.89
15.35 0.00 0.00 0.00 0.83 0.40 0.78
12.2 1.00 1.00 0.67 1.00 0.50 0.89
15.1 0.00 0.00 0.00 0.17 0.00 0.11
17.75 1.00 0.50 0.67 1.00 0.70 0.89
15.2 1.00 0.00 0.67 0.67 0.40 0.89
14.6 1.00 0.00 1.00 0.67 0.50 1.00
16.65 0.50 0.00 0.67 0.83 0.60 0.89
8.1 0.50 0.50 0.67 0.50 0.80 1.00

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266259&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266259&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266259&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'Sir Maurice George Kendall' @ kendall.wessa.net






Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 11.699 -0.298747Estimation[t] + 0.52691Probability_and_Sampling[t] + 1.54376Proportionality_and_Ratio[t] + 1.00336Graphical_Interpretation[t] -0.972496Algebraic_Reasoning[t] + 0.260175Calculation[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  +  11.699 -0.298747Estimation[t] +  0.52691Probability_and_Sampling[t] +  1.54376Proportionality_and_Ratio[t] +  1.00336Graphical_Interpretation[t] -0.972496Algebraic_Reasoning[t] +  0.260175Calculation[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266259&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  +  11.699 -0.298747Estimation[t] +  0.52691Probability_and_Sampling[t] +  1.54376Proportionality_and_Ratio[t] +  1.00336Graphical_Interpretation[t] -0.972496Algebraic_Reasoning[t] +  0.260175Calculation[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266259&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266259&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
TOT[t] = + 11.699 -0.298747Estimation[t] + 0.52691Probability_and_Sampling[t] + 1.54376Proportionality_and_Ratio[t] + 1.00336Graphical_Interpretation[t] -0.972496Algebraic_Reasoning[t] + 0.260175Calculation[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)11.6990.98250611.911.4163e-267.0815e-27
Estimation-0.2987470.563643-0.530.5965260.298263
Probability_and_Sampling0.526910.5804850.90770.364840.18242
Proportionality_and_Ratio1.543760.6340122.4350.01554090.00777045
Graphical_Interpretation1.003361.002711.0010.317890.158945
Algebraic_Reasoning-0.9724961.24926-0.77850.4369790.21849
Calculation0.2601751.362950.19090.8487540.424377

\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) & 11.699 & 0.982506 & 11.91 & 1.4163e-26 & 7.0815e-27 \tabularnewline
Estimation & -0.298747 & 0.563643 & -0.53 & 0.596526 & 0.298263 \tabularnewline
Probability_and_Sampling & 0.52691 & 0.580485 & 0.9077 & 0.36484 & 0.18242 \tabularnewline
Proportionality_and_Ratio & 1.54376 & 0.634012 & 2.435 & 0.0155409 & 0.00777045 \tabularnewline
Graphical_Interpretation & 1.00336 & 1.00271 & 1.001 & 0.31789 & 0.158945 \tabularnewline
Algebraic_Reasoning & -0.972496 & 1.24926 & -0.7785 & 0.436979 & 0.21849 \tabularnewline
Calculation & 0.260175 & 1.36295 & 0.1909 & 0.848754 & 0.424377 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266259&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]11.699[/C][C]0.982506[/C][C]11.91[/C][C]1.4163e-26[/C][C]7.0815e-27[/C][/ROW]
[ROW][C]Estimation[/C][C]-0.298747[/C][C]0.563643[/C][C]-0.53[/C][C]0.596526[/C][C]0.298263[/C][/ROW]
[ROW][C]Probability_and_Sampling[/C][C]0.52691[/C][C]0.580485[/C][C]0.9077[/C][C]0.36484[/C][C]0.18242[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[/C][C]1.54376[/C][C]0.634012[/C][C]2.435[/C][C]0.0155409[/C][C]0.00777045[/C][/ROW]
[ROW][C]Graphical_Interpretation[/C][C]1.00336[/C][C]1.00271[/C][C]1.001[/C][C]0.31789[/C][C]0.158945[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]-0.972496[/C][C]1.24926[/C][C]-0.7785[/C][C]0.436979[/C][C]0.21849[/C][/ROW]
[ROW][C]Calculation[/C][C]0.260175[/C][C]1.36295[/C][C]0.1909[/C][C]0.848754[/C][C]0.424377[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266259&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266259&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)11.6990.98250611.911.4163e-267.0815e-27
Estimation-0.2987470.563643-0.530.5965260.298263
Probability_and_Sampling0.526910.5804850.90770.364840.18242
Proportionality_and_Ratio1.543760.6340122.4350.01554090.00777045
Graphical_Interpretation1.003361.002711.0010.317890.158945
Algebraic_Reasoning-0.9724961.24926-0.77850.4369790.21849
Calculation0.2601751.362950.19090.8487540.424377






Multiple Linear Regression - Regression Statistics
Multiple R0.195352
R-squared0.0381624
Adjusted R-squared0.0168671
F-TEST (value)1.79206
F-TEST (DF numerator)6
F-TEST (DF denominator)271
p-value0.100789
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.36561
Sum Squared Residuals3069.71

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.195352 \tabularnewline
R-squared & 0.0381624 \tabularnewline
Adjusted R-squared & 0.0168671 \tabularnewline
F-TEST (value) & 1.79206 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 271 \tabularnewline
p-value & 0.100789 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.36561 \tabularnewline
Sum Squared Residuals & 3069.71 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266259&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.195352[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0381624[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0168671[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]1.79206[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]271[/C][/ROW]
[ROW][C]p-value[/C][C]0.100789[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.36561[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]3069.71[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266259&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266259&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 R0.195352
R-squared0.0381624
Adjusted R-squared0.0168671
F-TEST (value)1.79206
F-TEST (DF numerator)6
F-TEST (DF denominator)271
p-value0.100789
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.36561
Sum Squared Residuals3069.71






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.913.0301-0.130078
212.212.7512-0.551198
312.813.2804-0.480443
47.412.277-4.87705
56.712.1502-5.45017
612.611.72420.875778
714.813.67211.12793
813.313.3343-0.0342937
911.112.346-1.246
108.212.7979-4.5979
1111.413.2717-1.8717
126.412.4937-6.09372
1310.612.6589-2.05895
141212.7788-0.778764
156.312.626-6.32595
1611.312.6943-1.39428
1711.912.9978-1.09782
189.312.3389-3.03892
199.612.3558-2.75582
201012.0809-2.08089
216.412.9968-6.59677
2213.812.56111.23894
2310.812.3619-1.56187
2413.812.77951.02051
2511.713.8144-2.11435
2610.912.2626-1.36256
2716.112.72763.3724
2813.413.25920.140754
299.913.7899-3.88989
3011.513.3965-1.89651
318.312.3386-4.0386
3211.712.1785-0.478468
33913.4015-4.40152
349.713.3218-3.62183
3510.813.7161-2.91614
3610.314.2713-3.97134
3710.412.5042-2.10418
3812.712.64310.0569048
399.313.4255-4.12545
4011.813.2521-1.45215
415.913.4702-7.57015
4211.413.5439-2.1439
431312.82450.175481
4410.813.8185-3.0185
4512.313.1499-0.849883
4611.313.4541-2.15407
4711.811.9389-0.138941
487.912.4363-4.53625
4912.711.31611.38392
5012.313.5624-1.2624
5111.613.9567-2.35673
526.712.4641-5.76412
5310.913.6421-2.74213
5412.112.3269-0.226864
5513.312.77970.520296
5610.113.6415-3.54147
575.713.5907-7.8907
5814.311.6662.63399
59812.4309-4.43086
6013.313.08630.21373
619.313.5963-4.29635
6212.511.92140.578612
637.614.0934-6.49335
6415.913.48242.41764
659.212.1785-2.97847
669.113.8138-4.71381
6711.113.3787-2.27867
681313.4302-0.43024
6914.513.93510.564878
7012.212.5045-0.304462
7112.312.4594-0.159449
7211.413.0987-1.69871
738.812.8033-4.00332
7414.613.27611.32392
7512.612.28240.317609
761312.16470.835307
7712.613.3568-0.756821
7813.212.90490.295063
799.912.3545-2.45447
807.712.1848-4.48484
8110.512.5863-2.0863
8213.412.08321.3168
8310.913.2475-2.34746
844.312.7269-8.42694
8510.312.8585-2.55849
8611.812.6132-0.813188
8711.213.0318-1.83178
8811.413.6193-2.21931
898.613.4988-4.89877
9013.211.79521.40481
9112.613.271-0.670963
925.612.9618-7.36178
939.911.8524-1.95243
948.812.8931-4.09315
957.711.9497-4.24968
96911.7205-2.72051
977.312.4881-5.18807
9811.413.6889-2.28891
9913.613.17880.421172
1007.913.3447-5.44471
10110.713.3387-2.63866
10210.313.8373-3.53732
1038.311.6788-3.37877
1049.612.1963-2.5963
10514.212.29821.90176
1068.512.0155-3.51555
10713.511.80121.69878
1084.913.3726-8.47263
1096.412.876-6.47601
1109.612.241-2.64101
11111.613.0987-1.49871
11211.113.0526-1.95263
1134.3512.5499-8.19991
11412.713.876-1.17598
11518.113.40324.69677
11617.8514.44273.40734
11716.613.70472.89532
11812.612.33830.261744
11917.113.49383.60623
12019.113.90465.1954
12116.113.04123.05876
12213.3512.36690.983125
12318.413.14995.25012
12414.713.52211.17794
12510.613.3205-2.72045
12612.611.9550.644976
12716.212.10424.09583
12813.612.43551.16449
12918.913.00255.89749
13014.113.44230.657717
13114.514.31680.183204
13216.1512.57353.57651
13314.7513.37261.37742
13414.813.1931.60704
13512.4513.7757-1.32572
13612.6512.9268-0.276765
13717.3513.77873.57127
1388.613.6078-5.00781
13918.413.13855.26151
14016.113.45942.64059
14111.613.7289-2.12892
14217.7513.21354.53648
14315.2511.78483.46519
14417.6513.54394.1061
14516.3512.54993.80009
14617.6513.12734.52267
14713.612.27841.32158
14814.3512.58051.76949
14914.7512.02432.72566
15018.2514.14624.10378
1519.912.3222-2.42217
1521613.76962.23035
15318.2513.42484.82518
15416.8512.07564.77445
15514.613.88810.711903
15613.8512.3391.51099
15718.9514.15094.79908
15815.613.15022.44979
15914.8513.0291.82097
16011.7513.6148-1.86484
16118.4513.66434.78566
16215.913.46482.43517
16317.113.88943.21056
16416.113.95672.14327
16519.914.17445.72558
16610.9513.2539-2.30385
16718.4513.18355.26648
16815.114.49480.605212
1691513.55571.44431
17011.3513.3894-2.03941
17115.9513.41842.53165
17218.112.7635.33701
17314.613.79720.80279
17415.413.71011.6899
17515.413.71011.6899
17617.612.85284.74719
17713.3512.94570.404303
17819.111.84177.25831
17915.3512.86592.4841
1807.612.6011-5.00108
18113.413.14420.25584
18213.912.54491.35513
18319.114.06035.03966
18415.2512.3062.94399
18512.913.2501-0.350113
18616.113.19562.90435
18717.3513.19564.15435
18813.1513.1956-0.0456479
18912.1513.167-1.01703
19012.611.9220.677988
19110.3513.2521-2.90215
19215.413.13272.26729
1939.613.3501-3.75005
19418.212.09476.10529
19513.612.42281.17721
19614.8513.95640.893584
19714.7512.77941.97061
19814.111.95542.14462
19914.912.46452.43553
20016.2512.59673.65329
20119.2513.04126.20876
20213.612.58461.01543
20313.612.3791.22098
20415.6513.70511.94494
20512.7513.4012-0.651197
20614.613.61930.980685
2079.8512.3673-2.5173
20812.6513.1832-0.533193
20919.211.6997.50105
21016.613.26053.33947
21111.213.6203-2.42028
21215.2513.04762.20236
21311.912.0718-0.171837
21413.212.17281.0272
21516.3512.81813.53188
21612.411.42470.975274
21715.8512.99272.85729
21818.1513.76274.38735
21911.1513.0469-1.89691
22015.6513.33232.31774
22117.7512.28185.46823
2227.6512.6391-4.98912
22312.3513.3211-0.971105
22415.612.5943.006
22519.314.21415.08589
22615.213.06472.13525
22717.113.04224.0578
22815.613.88281.71723
22918.413.45414.94593
23019.0513.23065.81937
23118.5511.81346.73657
23219.113.21355.88648
23313.113.4466-0.346649
23412.8513.5271-0.677066
2359.511.8134-2.31343
2364.513.5507-9.05068
23711.8512.3905-0.540493
23813.612.52841.07161
23911.711.7848-0.0848111
24012.412.5458-0.145846
24113.3513.4466-0.0966486
24211.411.8864-0.486394
24314.913.13341.76662
24419.914.17445.72558
24511.213.1263-1.92628
24614.612.79591.8041
24717.612.67714.92287
24814.0513.04991.00005
24916.112.41233.68767
25013.3512.82420.525807
25111.8512.3437-0.493696
25211.9513.2246-1.27458
25314.7513.8090.940975
25415.1512.15192.99806
25513.213.5156-0.315605
25616.8513.49813.35186
2577.8513.4705-5.62049
2587.713.2491-5.54914
25912.612.57990.020122
2607.8511.8292-3.97916
26110.9513.2539-2.30385
26212.3513.5268-1.17676
2639.9512.1128-2.1628
26414.913.13341.76662
26516.6513.58623.06378
26613.414.0305-0.630472
26713.9513.15080.799167
26815.711.62744.07264
26916.8513.72263.12744
27010.9513.741-2.79103
27115.3512.34573.00432
27212.213.7101-1.5101
27315.111.89813.20186
27417.7513.25214.49785
27515.212.94932.25066
27614.613.39011.20985
27716.6513.06473.58525
2788.112.8312-4.73121

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 13.0301 & -0.130078 \tabularnewline
2 & 12.2 & 12.7512 & -0.551198 \tabularnewline
3 & 12.8 & 13.2804 & -0.480443 \tabularnewline
4 & 7.4 & 12.277 & -4.87705 \tabularnewline
5 & 6.7 & 12.1502 & -5.45017 \tabularnewline
6 & 12.6 & 11.7242 & 0.875778 \tabularnewline
7 & 14.8 & 13.6721 & 1.12793 \tabularnewline
8 & 13.3 & 13.3343 & -0.0342937 \tabularnewline
9 & 11.1 & 12.346 & -1.246 \tabularnewline
10 & 8.2 & 12.7979 & -4.5979 \tabularnewline
11 & 11.4 & 13.2717 & -1.8717 \tabularnewline
12 & 6.4 & 12.4937 & -6.09372 \tabularnewline
13 & 10.6 & 12.6589 & -2.05895 \tabularnewline
14 & 12 & 12.7788 & -0.778764 \tabularnewline
15 & 6.3 & 12.626 & -6.32595 \tabularnewline
16 & 11.3 & 12.6943 & -1.39428 \tabularnewline
17 & 11.9 & 12.9978 & -1.09782 \tabularnewline
18 & 9.3 & 12.3389 & -3.03892 \tabularnewline
19 & 9.6 & 12.3558 & -2.75582 \tabularnewline
20 & 10 & 12.0809 & -2.08089 \tabularnewline
21 & 6.4 & 12.9968 & -6.59677 \tabularnewline
22 & 13.8 & 12.5611 & 1.23894 \tabularnewline
23 & 10.8 & 12.3619 & -1.56187 \tabularnewline
24 & 13.8 & 12.7795 & 1.02051 \tabularnewline
25 & 11.7 & 13.8144 & -2.11435 \tabularnewline
26 & 10.9 & 12.2626 & -1.36256 \tabularnewline
27 & 16.1 & 12.7276 & 3.3724 \tabularnewline
28 & 13.4 & 13.2592 & 0.140754 \tabularnewline
29 & 9.9 & 13.7899 & -3.88989 \tabularnewline
30 & 11.5 & 13.3965 & -1.89651 \tabularnewline
31 & 8.3 & 12.3386 & -4.0386 \tabularnewline
32 & 11.7 & 12.1785 & -0.478468 \tabularnewline
33 & 9 & 13.4015 & -4.40152 \tabularnewline
34 & 9.7 & 13.3218 & -3.62183 \tabularnewline
35 & 10.8 & 13.7161 & -2.91614 \tabularnewline
36 & 10.3 & 14.2713 & -3.97134 \tabularnewline
37 & 10.4 & 12.5042 & -2.10418 \tabularnewline
38 & 12.7 & 12.6431 & 0.0569048 \tabularnewline
39 & 9.3 & 13.4255 & -4.12545 \tabularnewline
40 & 11.8 & 13.2521 & -1.45215 \tabularnewline
41 & 5.9 & 13.4702 & -7.57015 \tabularnewline
42 & 11.4 & 13.5439 & -2.1439 \tabularnewline
43 & 13 & 12.8245 & 0.175481 \tabularnewline
44 & 10.8 & 13.8185 & -3.0185 \tabularnewline
45 & 12.3 & 13.1499 & -0.849883 \tabularnewline
46 & 11.3 & 13.4541 & -2.15407 \tabularnewline
47 & 11.8 & 11.9389 & -0.138941 \tabularnewline
48 & 7.9 & 12.4363 & -4.53625 \tabularnewline
49 & 12.7 & 11.3161 & 1.38392 \tabularnewline
50 & 12.3 & 13.5624 & -1.2624 \tabularnewline
51 & 11.6 & 13.9567 & -2.35673 \tabularnewline
52 & 6.7 & 12.4641 & -5.76412 \tabularnewline
53 & 10.9 & 13.6421 & -2.74213 \tabularnewline
54 & 12.1 & 12.3269 & -0.226864 \tabularnewline
55 & 13.3 & 12.7797 & 0.520296 \tabularnewline
56 & 10.1 & 13.6415 & -3.54147 \tabularnewline
57 & 5.7 & 13.5907 & -7.8907 \tabularnewline
58 & 14.3 & 11.666 & 2.63399 \tabularnewline
59 & 8 & 12.4309 & -4.43086 \tabularnewline
60 & 13.3 & 13.0863 & 0.21373 \tabularnewline
61 & 9.3 & 13.5963 & -4.29635 \tabularnewline
62 & 12.5 & 11.9214 & 0.578612 \tabularnewline
63 & 7.6 & 14.0934 & -6.49335 \tabularnewline
64 & 15.9 & 13.4824 & 2.41764 \tabularnewline
65 & 9.2 & 12.1785 & -2.97847 \tabularnewline
66 & 9.1 & 13.8138 & -4.71381 \tabularnewline
67 & 11.1 & 13.3787 & -2.27867 \tabularnewline
68 & 13 & 13.4302 & -0.43024 \tabularnewline
69 & 14.5 & 13.9351 & 0.564878 \tabularnewline
70 & 12.2 & 12.5045 & -0.304462 \tabularnewline
71 & 12.3 & 12.4594 & -0.159449 \tabularnewline
72 & 11.4 & 13.0987 & -1.69871 \tabularnewline
73 & 8.8 & 12.8033 & -4.00332 \tabularnewline
74 & 14.6 & 13.2761 & 1.32392 \tabularnewline
75 & 12.6 & 12.2824 & 0.317609 \tabularnewline
76 & 13 & 12.1647 & 0.835307 \tabularnewline
77 & 12.6 & 13.3568 & -0.756821 \tabularnewline
78 & 13.2 & 12.9049 & 0.295063 \tabularnewline
79 & 9.9 & 12.3545 & -2.45447 \tabularnewline
80 & 7.7 & 12.1848 & -4.48484 \tabularnewline
81 & 10.5 & 12.5863 & -2.0863 \tabularnewline
82 & 13.4 & 12.0832 & 1.3168 \tabularnewline
83 & 10.9 & 13.2475 & -2.34746 \tabularnewline
84 & 4.3 & 12.7269 & -8.42694 \tabularnewline
85 & 10.3 & 12.8585 & -2.55849 \tabularnewline
86 & 11.8 & 12.6132 & -0.813188 \tabularnewline
87 & 11.2 & 13.0318 & -1.83178 \tabularnewline
88 & 11.4 & 13.6193 & -2.21931 \tabularnewline
89 & 8.6 & 13.4988 & -4.89877 \tabularnewline
90 & 13.2 & 11.7952 & 1.40481 \tabularnewline
91 & 12.6 & 13.271 & -0.670963 \tabularnewline
92 & 5.6 & 12.9618 & -7.36178 \tabularnewline
93 & 9.9 & 11.8524 & -1.95243 \tabularnewline
94 & 8.8 & 12.8931 & -4.09315 \tabularnewline
95 & 7.7 & 11.9497 & -4.24968 \tabularnewline
96 & 9 & 11.7205 & -2.72051 \tabularnewline
97 & 7.3 & 12.4881 & -5.18807 \tabularnewline
98 & 11.4 & 13.6889 & -2.28891 \tabularnewline
99 & 13.6 & 13.1788 & 0.421172 \tabularnewline
100 & 7.9 & 13.3447 & -5.44471 \tabularnewline
101 & 10.7 & 13.3387 & -2.63866 \tabularnewline
102 & 10.3 & 13.8373 & -3.53732 \tabularnewline
103 & 8.3 & 11.6788 & -3.37877 \tabularnewline
104 & 9.6 & 12.1963 & -2.5963 \tabularnewline
105 & 14.2 & 12.2982 & 1.90176 \tabularnewline
106 & 8.5 & 12.0155 & -3.51555 \tabularnewline
107 & 13.5 & 11.8012 & 1.69878 \tabularnewline
108 & 4.9 & 13.3726 & -8.47263 \tabularnewline
109 & 6.4 & 12.876 & -6.47601 \tabularnewline
110 & 9.6 & 12.241 & -2.64101 \tabularnewline
111 & 11.6 & 13.0987 & -1.49871 \tabularnewline
112 & 11.1 & 13.0526 & -1.95263 \tabularnewline
113 & 4.35 & 12.5499 & -8.19991 \tabularnewline
114 & 12.7 & 13.876 & -1.17598 \tabularnewline
115 & 18.1 & 13.4032 & 4.69677 \tabularnewline
116 & 17.85 & 14.4427 & 3.40734 \tabularnewline
117 & 16.6 & 13.7047 & 2.89532 \tabularnewline
118 & 12.6 & 12.3383 & 0.261744 \tabularnewline
119 & 17.1 & 13.4938 & 3.60623 \tabularnewline
120 & 19.1 & 13.9046 & 5.1954 \tabularnewline
121 & 16.1 & 13.0412 & 3.05876 \tabularnewline
122 & 13.35 & 12.3669 & 0.983125 \tabularnewline
123 & 18.4 & 13.1499 & 5.25012 \tabularnewline
124 & 14.7 & 13.5221 & 1.17794 \tabularnewline
125 & 10.6 & 13.3205 & -2.72045 \tabularnewline
126 & 12.6 & 11.955 & 0.644976 \tabularnewline
127 & 16.2 & 12.1042 & 4.09583 \tabularnewline
128 & 13.6 & 12.4355 & 1.16449 \tabularnewline
129 & 18.9 & 13.0025 & 5.89749 \tabularnewline
130 & 14.1 & 13.4423 & 0.657717 \tabularnewline
131 & 14.5 & 14.3168 & 0.183204 \tabularnewline
132 & 16.15 & 12.5735 & 3.57651 \tabularnewline
133 & 14.75 & 13.3726 & 1.37742 \tabularnewline
134 & 14.8 & 13.193 & 1.60704 \tabularnewline
135 & 12.45 & 13.7757 & -1.32572 \tabularnewline
136 & 12.65 & 12.9268 & -0.276765 \tabularnewline
137 & 17.35 & 13.7787 & 3.57127 \tabularnewline
138 & 8.6 & 13.6078 & -5.00781 \tabularnewline
139 & 18.4 & 13.1385 & 5.26151 \tabularnewline
140 & 16.1 & 13.4594 & 2.64059 \tabularnewline
141 & 11.6 & 13.7289 & -2.12892 \tabularnewline
142 & 17.75 & 13.2135 & 4.53648 \tabularnewline
143 & 15.25 & 11.7848 & 3.46519 \tabularnewline
144 & 17.65 & 13.5439 & 4.1061 \tabularnewline
145 & 16.35 & 12.5499 & 3.80009 \tabularnewline
146 & 17.65 & 13.1273 & 4.52267 \tabularnewline
147 & 13.6 & 12.2784 & 1.32158 \tabularnewline
148 & 14.35 & 12.5805 & 1.76949 \tabularnewline
149 & 14.75 & 12.0243 & 2.72566 \tabularnewline
150 & 18.25 & 14.1462 & 4.10378 \tabularnewline
151 & 9.9 & 12.3222 & -2.42217 \tabularnewline
152 & 16 & 13.7696 & 2.23035 \tabularnewline
153 & 18.25 & 13.4248 & 4.82518 \tabularnewline
154 & 16.85 & 12.0756 & 4.77445 \tabularnewline
155 & 14.6 & 13.8881 & 0.711903 \tabularnewline
156 & 13.85 & 12.339 & 1.51099 \tabularnewline
157 & 18.95 & 14.1509 & 4.79908 \tabularnewline
158 & 15.6 & 13.1502 & 2.44979 \tabularnewline
159 & 14.85 & 13.029 & 1.82097 \tabularnewline
160 & 11.75 & 13.6148 & -1.86484 \tabularnewline
161 & 18.45 & 13.6643 & 4.78566 \tabularnewline
162 & 15.9 & 13.4648 & 2.43517 \tabularnewline
163 & 17.1 & 13.8894 & 3.21056 \tabularnewline
164 & 16.1 & 13.9567 & 2.14327 \tabularnewline
165 & 19.9 & 14.1744 & 5.72558 \tabularnewline
166 & 10.95 & 13.2539 & -2.30385 \tabularnewline
167 & 18.45 & 13.1835 & 5.26648 \tabularnewline
168 & 15.1 & 14.4948 & 0.605212 \tabularnewline
169 & 15 & 13.5557 & 1.44431 \tabularnewline
170 & 11.35 & 13.3894 & -2.03941 \tabularnewline
171 & 15.95 & 13.4184 & 2.53165 \tabularnewline
172 & 18.1 & 12.763 & 5.33701 \tabularnewline
173 & 14.6 & 13.7972 & 0.80279 \tabularnewline
174 & 15.4 & 13.7101 & 1.6899 \tabularnewline
175 & 15.4 & 13.7101 & 1.6899 \tabularnewline
176 & 17.6 & 12.8528 & 4.74719 \tabularnewline
177 & 13.35 & 12.9457 & 0.404303 \tabularnewline
178 & 19.1 & 11.8417 & 7.25831 \tabularnewline
179 & 15.35 & 12.8659 & 2.4841 \tabularnewline
180 & 7.6 & 12.6011 & -5.00108 \tabularnewline
181 & 13.4 & 13.1442 & 0.25584 \tabularnewline
182 & 13.9 & 12.5449 & 1.35513 \tabularnewline
183 & 19.1 & 14.0603 & 5.03966 \tabularnewline
184 & 15.25 & 12.306 & 2.94399 \tabularnewline
185 & 12.9 & 13.2501 & -0.350113 \tabularnewline
186 & 16.1 & 13.1956 & 2.90435 \tabularnewline
187 & 17.35 & 13.1956 & 4.15435 \tabularnewline
188 & 13.15 & 13.1956 & -0.0456479 \tabularnewline
189 & 12.15 & 13.167 & -1.01703 \tabularnewline
190 & 12.6 & 11.922 & 0.677988 \tabularnewline
191 & 10.35 & 13.2521 & -2.90215 \tabularnewline
192 & 15.4 & 13.1327 & 2.26729 \tabularnewline
193 & 9.6 & 13.3501 & -3.75005 \tabularnewline
194 & 18.2 & 12.0947 & 6.10529 \tabularnewline
195 & 13.6 & 12.4228 & 1.17721 \tabularnewline
196 & 14.85 & 13.9564 & 0.893584 \tabularnewline
197 & 14.75 & 12.7794 & 1.97061 \tabularnewline
198 & 14.1 & 11.9554 & 2.14462 \tabularnewline
199 & 14.9 & 12.4645 & 2.43553 \tabularnewline
200 & 16.25 & 12.5967 & 3.65329 \tabularnewline
201 & 19.25 & 13.0412 & 6.20876 \tabularnewline
202 & 13.6 & 12.5846 & 1.01543 \tabularnewline
203 & 13.6 & 12.379 & 1.22098 \tabularnewline
204 & 15.65 & 13.7051 & 1.94494 \tabularnewline
205 & 12.75 & 13.4012 & -0.651197 \tabularnewline
206 & 14.6 & 13.6193 & 0.980685 \tabularnewline
207 & 9.85 & 12.3673 & -2.5173 \tabularnewline
208 & 12.65 & 13.1832 & -0.533193 \tabularnewline
209 & 19.2 & 11.699 & 7.50105 \tabularnewline
210 & 16.6 & 13.2605 & 3.33947 \tabularnewline
211 & 11.2 & 13.6203 & -2.42028 \tabularnewline
212 & 15.25 & 13.0476 & 2.20236 \tabularnewline
213 & 11.9 & 12.0718 & -0.171837 \tabularnewline
214 & 13.2 & 12.1728 & 1.0272 \tabularnewline
215 & 16.35 & 12.8181 & 3.53188 \tabularnewline
216 & 12.4 & 11.4247 & 0.975274 \tabularnewline
217 & 15.85 & 12.9927 & 2.85729 \tabularnewline
218 & 18.15 & 13.7627 & 4.38735 \tabularnewline
219 & 11.15 & 13.0469 & -1.89691 \tabularnewline
220 & 15.65 & 13.3323 & 2.31774 \tabularnewline
221 & 17.75 & 12.2818 & 5.46823 \tabularnewline
222 & 7.65 & 12.6391 & -4.98912 \tabularnewline
223 & 12.35 & 13.3211 & -0.971105 \tabularnewline
224 & 15.6 & 12.594 & 3.006 \tabularnewline
225 & 19.3 & 14.2141 & 5.08589 \tabularnewline
226 & 15.2 & 13.0647 & 2.13525 \tabularnewline
227 & 17.1 & 13.0422 & 4.0578 \tabularnewline
228 & 15.6 & 13.8828 & 1.71723 \tabularnewline
229 & 18.4 & 13.4541 & 4.94593 \tabularnewline
230 & 19.05 & 13.2306 & 5.81937 \tabularnewline
231 & 18.55 & 11.8134 & 6.73657 \tabularnewline
232 & 19.1 & 13.2135 & 5.88648 \tabularnewline
233 & 13.1 & 13.4466 & -0.346649 \tabularnewline
234 & 12.85 & 13.5271 & -0.677066 \tabularnewline
235 & 9.5 & 11.8134 & -2.31343 \tabularnewline
236 & 4.5 & 13.5507 & -9.05068 \tabularnewline
237 & 11.85 & 12.3905 & -0.540493 \tabularnewline
238 & 13.6 & 12.5284 & 1.07161 \tabularnewline
239 & 11.7 & 11.7848 & -0.0848111 \tabularnewline
240 & 12.4 & 12.5458 & -0.145846 \tabularnewline
241 & 13.35 & 13.4466 & -0.0966486 \tabularnewline
242 & 11.4 & 11.8864 & -0.486394 \tabularnewline
243 & 14.9 & 13.1334 & 1.76662 \tabularnewline
244 & 19.9 & 14.1744 & 5.72558 \tabularnewline
245 & 11.2 & 13.1263 & -1.92628 \tabularnewline
246 & 14.6 & 12.7959 & 1.8041 \tabularnewline
247 & 17.6 & 12.6771 & 4.92287 \tabularnewline
248 & 14.05 & 13.0499 & 1.00005 \tabularnewline
249 & 16.1 & 12.4123 & 3.68767 \tabularnewline
250 & 13.35 & 12.8242 & 0.525807 \tabularnewline
251 & 11.85 & 12.3437 & -0.493696 \tabularnewline
252 & 11.95 & 13.2246 & -1.27458 \tabularnewline
253 & 14.75 & 13.809 & 0.940975 \tabularnewline
254 & 15.15 & 12.1519 & 2.99806 \tabularnewline
255 & 13.2 & 13.5156 & -0.315605 \tabularnewline
256 & 16.85 & 13.4981 & 3.35186 \tabularnewline
257 & 7.85 & 13.4705 & -5.62049 \tabularnewline
258 & 7.7 & 13.2491 & -5.54914 \tabularnewline
259 & 12.6 & 12.5799 & 0.020122 \tabularnewline
260 & 7.85 & 11.8292 & -3.97916 \tabularnewline
261 & 10.95 & 13.2539 & -2.30385 \tabularnewline
262 & 12.35 & 13.5268 & -1.17676 \tabularnewline
263 & 9.95 & 12.1128 & -2.1628 \tabularnewline
264 & 14.9 & 13.1334 & 1.76662 \tabularnewline
265 & 16.65 & 13.5862 & 3.06378 \tabularnewline
266 & 13.4 & 14.0305 & -0.630472 \tabularnewline
267 & 13.95 & 13.1508 & 0.799167 \tabularnewline
268 & 15.7 & 11.6274 & 4.07264 \tabularnewline
269 & 16.85 & 13.7226 & 3.12744 \tabularnewline
270 & 10.95 & 13.741 & -2.79103 \tabularnewline
271 & 15.35 & 12.3457 & 3.00432 \tabularnewline
272 & 12.2 & 13.7101 & -1.5101 \tabularnewline
273 & 15.1 & 11.8981 & 3.20186 \tabularnewline
274 & 17.75 & 13.2521 & 4.49785 \tabularnewline
275 & 15.2 & 12.9493 & 2.25066 \tabularnewline
276 & 14.6 & 13.3901 & 1.20985 \tabularnewline
277 & 16.65 & 13.0647 & 3.58525 \tabularnewline
278 & 8.1 & 12.8312 & -4.73121 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266259&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]12.9[/C][C]13.0301[/C][C]-0.130078[/C][/ROW]
[ROW][C]2[/C][C]12.2[/C][C]12.7512[/C][C]-0.551198[/C][/ROW]
[ROW][C]3[/C][C]12.8[/C][C]13.2804[/C][C]-0.480443[/C][/ROW]
[ROW][C]4[/C][C]7.4[/C][C]12.277[/C][C]-4.87705[/C][/ROW]
[ROW][C]5[/C][C]6.7[/C][C]12.1502[/C][C]-5.45017[/C][/ROW]
[ROW][C]6[/C][C]12.6[/C][C]11.7242[/C][C]0.875778[/C][/ROW]
[ROW][C]7[/C][C]14.8[/C][C]13.6721[/C][C]1.12793[/C][/ROW]
[ROW][C]8[/C][C]13.3[/C][C]13.3343[/C][C]-0.0342937[/C][/ROW]
[ROW][C]9[/C][C]11.1[/C][C]12.346[/C][C]-1.246[/C][/ROW]
[ROW][C]10[/C][C]8.2[/C][C]12.7979[/C][C]-4.5979[/C][/ROW]
[ROW][C]11[/C][C]11.4[/C][C]13.2717[/C][C]-1.8717[/C][/ROW]
[ROW][C]12[/C][C]6.4[/C][C]12.4937[/C][C]-6.09372[/C][/ROW]
[ROW][C]13[/C][C]10.6[/C][C]12.6589[/C][C]-2.05895[/C][/ROW]
[ROW][C]14[/C][C]12[/C][C]12.7788[/C][C]-0.778764[/C][/ROW]
[ROW][C]15[/C][C]6.3[/C][C]12.626[/C][C]-6.32595[/C][/ROW]
[ROW][C]16[/C][C]11.3[/C][C]12.6943[/C][C]-1.39428[/C][/ROW]
[ROW][C]17[/C][C]11.9[/C][C]12.9978[/C][C]-1.09782[/C][/ROW]
[ROW][C]18[/C][C]9.3[/C][C]12.3389[/C][C]-3.03892[/C][/ROW]
[ROW][C]19[/C][C]9.6[/C][C]12.3558[/C][C]-2.75582[/C][/ROW]
[ROW][C]20[/C][C]10[/C][C]12.0809[/C][C]-2.08089[/C][/ROW]
[ROW][C]21[/C][C]6.4[/C][C]12.9968[/C][C]-6.59677[/C][/ROW]
[ROW][C]22[/C][C]13.8[/C][C]12.5611[/C][C]1.23894[/C][/ROW]
[ROW][C]23[/C][C]10.8[/C][C]12.3619[/C][C]-1.56187[/C][/ROW]
[ROW][C]24[/C][C]13.8[/C][C]12.7795[/C][C]1.02051[/C][/ROW]
[ROW][C]25[/C][C]11.7[/C][C]13.8144[/C][C]-2.11435[/C][/ROW]
[ROW][C]26[/C][C]10.9[/C][C]12.2626[/C][C]-1.36256[/C][/ROW]
[ROW][C]27[/C][C]16.1[/C][C]12.7276[/C][C]3.3724[/C][/ROW]
[ROW][C]28[/C][C]13.4[/C][C]13.2592[/C][C]0.140754[/C][/ROW]
[ROW][C]29[/C][C]9.9[/C][C]13.7899[/C][C]-3.88989[/C][/ROW]
[ROW][C]30[/C][C]11.5[/C][C]13.3965[/C][C]-1.89651[/C][/ROW]
[ROW][C]31[/C][C]8.3[/C][C]12.3386[/C][C]-4.0386[/C][/ROW]
[ROW][C]32[/C][C]11.7[/C][C]12.1785[/C][C]-0.478468[/C][/ROW]
[ROW][C]33[/C][C]9[/C][C]13.4015[/C][C]-4.40152[/C][/ROW]
[ROW][C]34[/C][C]9.7[/C][C]13.3218[/C][C]-3.62183[/C][/ROW]
[ROW][C]35[/C][C]10.8[/C][C]13.7161[/C][C]-2.91614[/C][/ROW]
[ROW][C]36[/C][C]10.3[/C][C]14.2713[/C][C]-3.97134[/C][/ROW]
[ROW][C]37[/C][C]10.4[/C][C]12.5042[/C][C]-2.10418[/C][/ROW]
[ROW][C]38[/C][C]12.7[/C][C]12.6431[/C][C]0.0569048[/C][/ROW]
[ROW][C]39[/C][C]9.3[/C][C]13.4255[/C][C]-4.12545[/C][/ROW]
[ROW][C]40[/C][C]11.8[/C][C]13.2521[/C][C]-1.45215[/C][/ROW]
[ROW][C]41[/C][C]5.9[/C][C]13.4702[/C][C]-7.57015[/C][/ROW]
[ROW][C]42[/C][C]11.4[/C][C]13.5439[/C][C]-2.1439[/C][/ROW]
[ROW][C]43[/C][C]13[/C][C]12.8245[/C][C]0.175481[/C][/ROW]
[ROW][C]44[/C][C]10.8[/C][C]13.8185[/C][C]-3.0185[/C][/ROW]
[ROW][C]45[/C][C]12.3[/C][C]13.1499[/C][C]-0.849883[/C][/ROW]
[ROW][C]46[/C][C]11.3[/C][C]13.4541[/C][C]-2.15407[/C][/ROW]
[ROW][C]47[/C][C]11.8[/C][C]11.9389[/C][C]-0.138941[/C][/ROW]
[ROW][C]48[/C][C]7.9[/C][C]12.4363[/C][C]-4.53625[/C][/ROW]
[ROW][C]49[/C][C]12.7[/C][C]11.3161[/C][C]1.38392[/C][/ROW]
[ROW][C]50[/C][C]12.3[/C][C]13.5624[/C][C]-1.2624[/C][/ROW]
[ROW][C]51[/C][C]11.6[/C][C]13.9567[/C][C]-2.35673[/C][/ROW]
[ROW][C]52[/C][C]6.7[/C][C]12.4641[/C][C]-5.76412[/C][/ROW]
[ROW][C]53[/C][C]10.9[/C][C]13.6421[/C][C]-2.74213[/C][/ROW]
[ROW][C]54[/C][C]12.1[/C][C]12.3269[/C][C]-0.226864[/C][/ROW]
[ROW][C]55[/C][C]13.3[/C][C]12.7797[/C][C]0.520296[/C][/ROW]
[ROW][C]56[/C][C]10.1[/C][C]13.6415[/C][C]-3.54147[/C][/ROW]
[ROW][C]57[/C][C]5.7[/C][C]13.5907[/C][C]-7.8907[/C][/ROW]
[ROW][C]58[/C][C]14.3[/C][C]11.666[/C][C]2.63399[/C][/ROW]
[ROW][C]59[/C][C]8[/C][C]12.4309[/C][C]-4.43086[/C][/ROW]
[ROW][C]60[/C][C]13.3[/C][C]13.0863[/C][C]0.21373[/C][/ROW]
[ROW][C]61[/C][C]9.3[/C][C]13.5963[/C][C]-4.29635[/C][/ROW]
[ROW][C]62[/C][C]12.5[/C][C]11.9214[/C][C]0.578612[/C][/ROW]
[ROW][C]63[/C][C]7.6[/C][C]14.0934[/C][C]-6.49335[/C][/ROW]
[ROW][C]64[/C][C]15.9[/C][C]13.4824[/C][C]2.41764[/C][/ROW]
[ROW][C]65[/C][C]9.2[/C][C]12.1785[/C][C]-2.97847[/C][/ROW]
[ROW][C]66[/C][C]9.1[/C][C]13.8138[/C][C]-4.71381[/C][/ROW]
[ROW][C]67[/C][C]11.1[/C][C]13.3787[/C][C]-2.27867[/C][/ROW]
[ROW][C]68[/C][C]13[/C][C]13.4302[/C][C]-0.43024[/C][/ROW]
[ROW][C]69[/C][C]14.5[/C][C]13.9351[/C][C]0.564878[/C][/ROW]
[ROW][C]70[/C][C]12.2[/C][C]12.5045[/C][C]-0.304462[/C][/ROW]
[ROW][C]71[/C][C]12.3[/C][C]12.4594[/C][C]-0.159449[/C][/ROW]
[ROW][C]72[/C][C]11.4[/C][C]13.0987[/C][C]-1.69871[/C][/ROW]
[ROW][C]73[/C][C]8.8[/C][C]12.8033[/C][C]-4.00332[/C][/ROW]
[ROW][C]74[/C][C]14.6[/C][C]13.2761[/C][C]1.32392[/C][/ROW]
[ROW][C]75[/C][C]12.6[/C][C]12.2824[/C][C]0.317609[/C][/ROW]
[ROW][C]76[/C][C]13[/C][C]12.1647[/C][C]0.835307[/C][/ROW]
[ROW][C]77[/C][C]12.6[/C][C]13.3568[/C][C]-0.756821[/C][/ROW]
[ROW][C]78[/C][C]13.2[/C][C]12.9049[/C][C]0.295063[/C][/ROW]
[ROW][C]79[/C][C]9.9[/C][C]12.3545[/C][C]-2.45447[/C][/ROW]
[ROW][C]80[/C][C]7.7[/C][C]12.1848[/C][C]-4.48484[/C][/ROW]
[ROW][C]81[/C][C]10.5[/C][C]12.5863[/C][C]-2.0863[/C][/ROW]
[ROW][C]82[/C][C]13.4[/C][C]12.0832[/C][C]1.3168[/C][/ROW]
[ROW][C]83[/C][C]10.9[/C][C]13.2475[/C][C]-2.34746[/C][/ROW]
[ROW][C]84[/C][C]4.3[/C][C]12.7269[/C][C]-8.42694[/C][/ROW]
[ROW][C]85[/C][C]10.3[/C][C]12.8585[/C][C]-2.55849[/C][/ROW]
[ROW][C]86[/C][C]11.8[/C][C]12.6132[/C][C]-0.813188[/C][/ROW]
[ROW][C]87[/C][C]11.2[/C][C]13.0318[/C][C]-1.83178[/C][/ROW]
[ROW][C]88[/C][C]11.4[/C][C]13.6193[/C][C]-2.21931[/C][/ROW]
[ROW][C]89[/C][C]8.6[/C][C]13.4988[/C][C]-4.89877[/C][/ROW]
[ROW][C]90[/C][C]13.2[/C][C]11.7952[/C][C]1.40481[/C][/ROW]
[ROW][C]91[/C][C]12.6[/C][C]13.271[/C][C]-0.670963[/C][/ROW]
[ROW][C]92[/C][C]5.6[/C][C]12.9618[/C][C]-7.36178[/C][/ROW]
[ROW][C]93[/C][C]9.9[/C][C]11.8524[/C][C]-1.95243[/C][/ROW]
[ROW][C]94[/C][C]8.8[/C][C]12.8931[/C][C]-4.09315[/C][/ROW]
[ROW][C]95[/C][C]7.7[/C][C]11.9497[/C][C]-4.24968[/C][/ROW]
[ROW][C]96[/C][C]9[/C][C]11.7205[/C][C]-2.72051[/C][/ROW]
[ROW][C]97[/C][C]7.3[/C][C]12.4881[/C][C]-5.18807[/C][/ROW]
[ROW][C]98[/C][C]11.4[/C][C]13.6889[/C][C]-2.28891[/C][/ROW]
[ROW][C]99[/C][C]13.6[/C][C]13.1788[/C][C]0.421172[/C][/ROW]
[ROW][C]100[/C][C]7.9[/C][C]13.3447[/C][C]-5.44471[/C][/ROW]
[ROW][C]101[/C][C]10.7[/C][C]13.3387[/C][C]-2.63866[/C][/ROW]
[ROW][C]102[/C][C]10.3[/C][C]13.8373[/C][C]-3.53732[/C][/ROW]
[ROW][C]103[/C][C]8.3[/C][C]11.6788[/C][C]-3.37877[/C][/ROW]
[ROW][C]104[/C][C]9.6[/C][C]12.1963[/C][C]-2.5963[/C][/ROW]
[ROW][C]105[/C][C]14.2[/C][C]12.2982[/C][C]1.90176[/C][/ROW]
[ROW][C]106[/C][C]8.5[/C][C]12.0155[/C][C]-3.51555[/C][/ROW]
[ROW][C]107[/C][C]13.5[/C][C]11.8012[/C][C]1.69878[/C][/ROW]
[ROW][C]108[/C][C]4.9[/C][C]13.3726[/C][C]-8.47263[/C][/ROW]
[ROW][C]109[/C][C]6.4[/C][C]12.876[/C][C]-6.47601[/C][/ROW]
[ROW][C]110[/C][C]9.6[/C][C]12.241[/C][C]-2.64101[/C][/ROW]
[ROW][C]111[/C][C]11.6[/C][C]13.0987[/C][C]-1.49871[/C][/ROW]
[ROW][C]112[/C][C]11.1[/C][C]13.0526[/C][C]-1.95263[/C][/ROW]
[ROW][C]113[/C][C]4.35[/C][C]12.5499[/C][C]-8.19991[/C][/ROW]
[ROW][C]114[/C][C]12.7[/C][C]13.876[/C][C]-1.17598[/C][/ROW]
[ROW][C]115[/C][C]18.1[/C][C]13.4032[/C][C]4.69677[/C][/ROW]
[ROW][C]116[/C][C]17.85[/C][C]14.4427[/C][C]3.40734[/C][/ROW]
[ROW][C]117[/C][C]16.6[/C][C]13.7047[/C][C]2.89532[/C][/ROW]
[ROW][C]118[/C][C]12.6[/C][C]12.3383[/C][C]0.261744[/C][/ROW]
[ROW][C]119[/C][C]17.1[/C][C]13.4938[/C][C]3.60623[/C][/ROW]
[ROW][C]120[/C][C]19.1[/C][C]13.9046[/C][C]5.1954[/C][/ROW]
[ROW][C]121[/C][C]16.1[/C][C]13.0412[/C][C]3.05876[/C][/ROW]
[ROW][C]122[/C][C]13.35[/C][C]12.3669[/C][C]0.983125[/C][/ROW]
[ROW][C]123[/C][C]18.4[/C][C]13.1499[/C][C]5.25012[/C][/ROW]
[ROW][C]124[/C][C]14.7[/C][C]13.5221[/C][C]1.17794[/C][/ROW]
[ROW][C]125[/C][C]10.6[/C][C]13.3205[/C][C]-2.72045[/C][/ROW]
[ROW][C]126[/C][C]12.6[/C][C]11.955[/C][C]0.644976[/C][/ROW]
[ROW][C]127[/C][C]16.2[/C][C]12.1042[/C][C]4.09583[/C][/ROW]
[ROW][C]128[/C][C]13.6[/C][C]12.4355[/C][C]1.16449[/C][/ROW]
[ROW][C]129[/C][C]18.9[/C][C]13.0025[/C][C]5.89749[/C][/ROW]
[ROW][C]130[/C][C]14.1[/C][C]13.4423[/C][C]0.657717[/C][/ROW]
[ROW][C]131[/C][C]14.5[/C][C]14.3168[/C][C]0.183204[/C][/ROW]
[ROW][C]132[/C][C]16.15[/C][C]12.5735[/C][C]3.57651[/C][/ROW]
[ROW][C]133[/C][C]14.75[/C][C]13.3726[/C][C]1.37742[/C][/ROW]
[ROW][C]134[/C][C]14.8[/C][C]13.193[/C][C]1.60704[/C][/ROW]
[ROW][C]135[/C][C]12.45[/C][C]13.7757[/C][C]-1.32572[/C][/ROW]
[ROW][C]136[/C][C]12.65[/C][C]12.9268[/C][C]-0.276765[/C][/ROW]
[ROW][C]137[/C][C]17.35[/C][C]13.7787[/C][C]3.57127[/C][/ROW]
[ROW][C]138[/C][C]8.6[/C][C]13.6078[/C][C]-5.00781[/C][/ROW]
[ROW][C]139[/C][C]18.4[/C][C]13.1385[/C][C]5.26151[/C][/ROW]
[ROW][C]140[/C][C]16.1[/C][C]13.4594[/C][C]2.64059[/C][/ROW]
[ROW][C]141[/C][C]11.6[/C][C]13.7289[/C][C]-2.12892[/C][/ROW]
[ROW][C]142[/C][C]17.75[/C][C]13.2135[/C][C]4.53648[/C][/ROW]
[ROW][C]143[/C][C]15.25[/C][C]11.7848[/C][C]3.46519[/C][/ROW]
[ROW][C]144[/C][C]17.65[/C][C]13.5439[/C][C]4.1061[/C][/ROW]
[ROW][C]145[/C][C]16.35[/C][C]12.5499[/C][C]3.80009[/C][/ROW]
[ROW][C]146[/C][C]17.65[/C][C]13.1273[/C][C]4.52267[/C][/ROW]
[ROW][C]147[/C][C]13.6[/C][C]12.2784[/C][C]1.32158[/C][/ROW]
[ROW][C]148[/C][C]14.35[/C][C]12.5805[/C][C]1.76949[/C][/ROW]
[ROW][C]149[/C][C]14.75[/C][C]12.0243[/C][C]2.72566[/C][/ROW]
[ROW][C]150[/C][C]18.25[/C][C]14.1462[/C][C]4.10378[/C][/ROW]
[ROW][C]151[/C][C]9.9[/C][C]12.3222[/C][C]-2.42217[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]13.7696[/C][C]2.23035[/C][/ROW]
[ROW][C]153[/C][C]18.25[/C][C]13.4248[/C][C]4.82518[/C][/ROW]
[ROW][C]154[/C][C]16.85[/C][C]12.0756[/C][C]4.77445[/C][/ROW]
[ROW][C]155[/C][C]14.6[/C][C]13.8881[/C][C]0.711903[/C][/ROW]
[ROW][C]156[/C][C]13.85[/C][C]12.339[/C][C]1.51099[/C][/ROW]
[ROW][C]157[/C][C]18.95[/C][C]14.1509[/C][C]4.79908[/C][/ROW]
[ROW][C]158[/C][C]15.6[/C][C]13.1502[/C][C]2.44979[/C][/ROW]
[ROW][C]159[/C][C]14.85[/C][C]13.029[/C][C]1.82097[/C][/ROW]
[ROW][C]160[/C][C]11.75[/C][C]13.6148[/C][C]-1.86484[/C][/ROW]
[ROW][C]161[/C][C]18.45[/C][C]13.6643[/C][C]4.78566[/C][/ROW]
[ROW][C]162[/C][C]15.9[/C][C]13.4648[/C][C]2.43517[/C][/ROW]
[ROW][C]163[/C][C]17.1[/C][C]13.8894[/C][C]3.21056[/C][/ROW]
[ROW][C]164[/C][C]16.1[/C][C]13.9567[/C][C]2.14327[/C][/ROW]
[ROW][C]165[/C][C]19.9[/C][C]14.1744[/C][C]5.72558[/C][/ROW]
[ROW][C]166[/C][C]10.95[/C][C]13.2539[/C][C]-2.30385[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]13.1835[/C][C]5.26648[/C][/ROW]
[ROW][C]168[/C][C]15.1[/C][C]14.4948[/C][C]0.605212[/C][/ROW]
[ROW][C]169[/C][C]15[/C][C]13.5557[/C][C]1.44431[/C][/ROW]
[ROW][C]170[/C][C]11.35[/C][C]13.3894[/C][C]-2.03941[/C][/ROW]
[ROW][C]171[/C][C]15.95[/C][C]13.4184[/C][C]2.53165[/C][/ROW]
[ROW][C]172[/C][C]18.1[/C][C]12.763[/C][C]5.33701[/C][/ROW]
[ROW][C]173[/C][C]14.6[/C][C]13.7972[/C][C]0.80279[/C][/ROW]
[ROW][C]174[/C][C]15.4[/C][C]13.7101[/C][C]1.6899[/C][/ROW]
[ROW][C]175[/C][C]15.4[/C][C]13.7101[/C][C]1.6899[/C][/ROW]
[ROW][C]176[/C][C]17.6[/C][C]12.8528[/C][C]4.74719[/C][/ROW]
[ROW][C]177[/C][C]13.35[/C][C]12.9457[/C][C]0.404303[/C][/ROW]
[ROW][C]178[/C][C]19.1[/C][C]11.8417[/C][C]7.25831[/C][/ROW]
[ROW][C]179[/C][C]15.35[/C][C]12.8659[/C][C]2.4841[/C][/ROW]
[ROW][C]180[/C][C]7.6[/C][C]12.6011[/C][C]-5.00108[/C][/ROW]
[ROW][C]181[/C][C]13.4[/C][C]13.1442[/C][C]0.25584[/C][/ROW]
[ROW][C]182[/C][C]13.9[/C][C]12.5449[/C][C]1.35513[/C][/ROW]
[ROW][C]183[/C][C]19.1[/C][C]14.0603[/C][C]5.03966[/C][/ROW]
[ROW][C]184[/C][C]15.25[/C][C]12.306[/C][C]2.94399[/C][/ROW]
[ROW][C]185[/C][C]12.9[/C][C]13.2501[/C][C]-0.350113[/C][/ROW]
[ROW][C]186[/C][C]16.1[/C][C]13.1956[/C][C]2.90435[/C][/ROW]
[ROW][C]187[/C][C]17.35[/C][C]13.1956[/C][C]4.15435[/C][/ROW]
[ROW][C]188[/C][C]13.15[/C][C]13.1956[/C][C]-0.0456479[/C][/ROW]
[ROW][C]189[/C][C]12.15[/C][C]13.167[/C][C]-1.01703[/C][/ROW]
[ROW][C]190[/C][C]12.6[/C][C]11.922[/C][C]0.677988[/C][/ROW]
[ROW][C]191[/C][C]10.35[/C][C]13.2521[/C][C]-2.90215[/C][/ROW]
[ROW][C]192[/C][C]15.4[/C][C]13.1327[/C][C]2.26729[/C][/ROW]
[ROW][C]193[/C][C]9.6[/C][C]13.3501[/C][C]-3.75005[/C][/ROW]
[ROW][C]194[/C][C]18.2[/C][C]12.0947[/C][C]6.10529[/C][/ROW]
[ROW][C]195[/C][C]13.6[/C][C]12.4228[/C][C]1.17721[/C][/ROW]
[ROW][C]196[/C][C]14.85[/C][C]13.9564[/C][C]0.893584[/C][/ROW]
[ROW][C]197[/C][C]14.75[/C][C]12.7794[/C][C]1.97061[/C][/ROW]
[ROW][C]198[/C][C]14.1[/C][C]11.9554[/C][C]2.14462[/C][/ROW]
[ROW][C]199[/C][C]14.9[/C][C]12.4645[/C][C]2.43553[/C][/ROW]
[ROW][C]200[/C][C]16.25[/C][C]12.5967[/C][C]3.65329[/C][/ROW]
[ROW][C]201[/C][C]19.25[/C][C]13.0412[/C][C]6.20876[/C][/ROW]
[ROW][C]202[/C][C]13.6[/C][C]12.5846[/C][C]1.01543[/C][/ROW]
[ROW][C]203[/C][C]13.6[/C][C]12.379[/C][C]1.22098[/C][/ROW]
[ROW][C]204[/C][C]15.65[/C][C]13.7051[/C][C]1.94494[/C][/ROW]
[ROW][C]205[/C][C]12.75[/C][C]13.4012[/C][C]-0.651197[/C][/ROW]
[ROW][C]206[/C][C]14.6[/C][C]13.6193[/C][C]0.980685[/C][/ROW]
[ROW][C]207[/C][C]9.85[/C][C]12.3673[/C][C]-2.5173[/C][/ROW]
[ROW][C]208[/C][C]12.65[/C][C]13.1832[/C][C]-0.533193[/C][/ROW]
[ROW][C]209[/C][C]19.2[/C][C]11.699[/C][C]7.50105[/C][/ROW]
[ROW][C]210[/C][C]16.6[/C][C]13.2605[/C][C]3.33947[/C][/ROW]
[ROW][C]211[/C][C]11.2[/C][C]13.6203[/C][C]-2.42028[/C][/ROW]
[ROW][C]212[/C][C]15.25[/C][C]13.0476[/C][C]2.20236[/C][/ROW]
[ROW][C]213[/C][C]11.9[/C][C]12.0718[/C][C]-0.171837[/C][/ROW]
[ROW][C]214[/C][C]13.2[/C][C]12.1728[/C][C]1.0272[/C][/ROW]
[ROW][C]215[/C][C]16.35[/C][C]12.8181[/C][C]3.53188[/C][/ROW]
[ROW][C]216[/C][C]12.4[/C][C]11.4247[/C][C]0.975274[/C][/ROW]
[ROW][C]217[/C][C]15.85[/C][C]12.9927[/C][C]2.85729[/C][/ROW]
[ROW][C]218[/C][C]18.15[/C][C]13.7627[/C][C]4.38735[/C][/ROW]
[ROW][C]219[/C][C]11.15[/C][C]13.0469[/C][C]-1.89691[/C][/ROW]
[ROW][C]220[/C][C]15.65[/C][C]13.3323[/C][C]2.31774[/C][/ROW]
[ROW][C]221[/C][C]17.75[/C][C]12.2818[/C][C]5.46823[/C][/ROW]
[ROW][C]222[/C][C]7.65[/C][C]12.6391[/C][C]-4.98912[/C][/ROW]
[ROW][C]223[/C][C]12.35[/C][C]13.3211[/C][C]-0.971105[/C][/ROW]
[ROW][C]224[/C][C]15.6[/C][C]12.594[/C][C]3.006[/C][/ROW]
[ROW][C]225[/C][C]19.3[/C][C]14.2141[/C][C]5.08589[/C][/ROW]
[ROW][C]226[/C][C]15.2[/C][C]13.0647[/C][C]2.13525[/C][/ROW]
[ROW][C]227[/C][C]17.1[/C][C]13.0422[/C][C]4.0578[/C][/ROW]
[ROW][C]228[/C][C]15.6[/C][C]13.8828[/C][C]1.71723[/C][/ROW]
[ROW][C]229[/C][C]18.4[/C][C]13.4541[/C][C]4.94593[/C][/ROW]
[ROW][C]230[/C][C]19.05[/C][C]13.2306[/C][C]5.81937[/C][/ROW]
[ROW][C]231[/C][C]18.55[/C][C]11.8134[/C][C]6.73657[/C][/ROW]
[ROW][C]232[/C][C]19.1[/C][C]13.2135[/C][C]5.88648[/C][/ROW]
[ROW][C]233[/C][C]13.1[/C][C]13.4466[/C][C]-0.346649[/C][/ROW]
[ROW][C]234[/C][C]12.85[/C][C]13.5271[/C][C]-0.677066[/C][/ROW]
[ROW][C]235[/C][C]9.5[/C][C]11.8134[/C][C]-2.31343[/C][/ROW]
[ROW][C]236[/C][C]4.5[/C][C]13.5507[/C][C]-9.05068[/C][/ROW]
[ROW][C]237[/C][C]11.85[/C][C]12.3905[/C][C]-0.540493[/C][/ROW]
[ROW][C]238[/C][C]13.6[/C][C]12.5284[/C][C]1.07161[/C][/ROW]
[ROW][C]239[/C][C]11.7[/C][C]11.7848[/C][C]-0.0848111[/C][/ROW]
[ROW][C]240[/C][C]12.4[/C][C]12.5458[/C][C]-0.145846[/C][/ROW]
[ROW][C]241[/C][C]13.35[/C][C]13.4466[/C][C]-0.0966486[/C][/ROW]
[ROW][C]242[/C][C]11.4[/C][C]11.8864[/C][C]-0.486394[/C][/ROW]
[ROW][C]243[/C][C]14.9[/C][C]13.1334[/C][C]1.76662[/C][/ROW]
[ROW][C]244[/C][C]19.9[/C][C]14.1744[/C][C]5.72558[/C][/ROW]
[ROW][C]245[/C][C]11.2[/C][C]13.1263[/C][C]-1.92628[/C][/ROW]
[ROW][C]246[/C][C]14.6[/C][C]12.7959[/C][C]1.8041[/C][/ROW]
[ROW][C]247[/C][C]17.6[/C][C]12.6771[/C][C]4.92287[/C][/ROW]
[ROW][C]248[/C][C]14.05[/C][C]13.0499[/C][C]1.00005[/C][/ROW]
[ROW][C]249[/C][C]16.1[/C][C]12.4123[/C][C]3.68767[/C][/ROW]
[ROW][C]250[/C][C]13.35[/C][C]12.8242[/C][C]0.525807[/C][/ROW]
[ROW][C]251[/C][C]11.85[/C][C]12.3437[/C][C]-0.493696[/C][/ROW]
[ROW][C]252[/C][C]11.95[/C][C]13.2246[/C][C]-1.27458[/C][/ROW]
[ROW][C]253[/C][C]14.75[/C][C]13.809[/C][C]0.940975[/C][/ROW]
[ROW][C]254[/C][C]15.15[/C][C]12.1519[/C][C]2.99806[/C][/ROW]
[ROW][C]255[/C][C]13.2[/C][C]13.5156[/C][C]-0.315605[/C][/ROW]
[ROW][C]256[/C][C]16.85[/C][C]13.4981[/C][C]3.35186[/C][/ROW]
[ROW][C]257[/C][C]7.85[/C][C]13.4705[/C][C]-5.62049[/C][/ROW]
[ROW][C]258[/C][C]7.7[/C][C]13.2491[/C][C]-5.54914[/C][/ROW]
[ROW][C]259[/C][C]12.6[/C][C]12.5799[/C][C]0.020122[/C][/ROW]
[ROW][C]260[/C][C]7.85[/C][C]11.8292[/C][C]-3.97916[/C][/ROW]
[ROW][C]261[/C][C]10.95[/C][C]13.2539[/C][C]-2.30385[/C][/ROW]
[ROW][C]262[/C][C]12.35[/C][C]13.5268[/C][C]-1.17676[/C][/ROW]
[ROW][C]263[/C][C]9.95[/C][C]12.1128[/C][C]-2.1628[/C][/ROW]
[ROW][C]264[/C][C]14.9[/C][C]13.1334[/C][C]1.76662[/C][/ROW]
[ROW][C]265[/C][C]16.65[/C][C]13.5862[/C][C]3.06378[/C][/ROW]
[ROW][C]266[/C][C]13.4[/C][C]14.0305[/C][C]-0.630472[/C][/ROW]
[ROW][C]267[/C][C]13.95[/C][C]13.1508[/C][C]0.799167[/C][/ROW]
[ROW][C]268[/C][C]15.7[/C][C]11.6274[/C][C]4.07264[/C][/ROW]
[ROW][C]269[/C][C]16.85[/C][C]13.7226[/C][C]3.12744[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]13.741[/C][C]-2.79103[/C][/ROW]
[ROW][C]271[/C][C]15.35[/C][C]12.3457[/C][C]3.00432[/C][/ROW]
[ROW][C]272[/C][C]12.2[/C][C]13.7101[/C][C]-1.5101[/C][/ROW]
[ROW][C]273[/C][C]15.1[/C][C]11.8981[/C][C]3.20186[/C][/ROW]
[ROW][C]274[/C][C]17.75[/C][C]13.2521[/C][C]4.49785[/C][/ROW]
[ROW][C]275[/C][C]15.2[/C][C]12.9493[/C][C]2.25066[/C][/ROW]
[ROW][C]276[/C][C]14.6[/C][C]13.3901[/C][C]1.20985[/C][/ROW]
[ROW][C]277[/C][C]16.65[/C][C]13.0647[/C][C]3.58525[/C][/ROW]
[ROW][C]278[/C][C]8.1[/C][C]12.8312[/C][C]-4.73121[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266259&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266259&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
112.913.0301-0.130078
212.212.7512-0.551198
312.813.2804-0.480443
47.412.277-4.87705
56.712.1502-5.45017
612.611.72420.875778
714.813.67211.12793
813.313.3343-0.0342937
911.112.346-1.246
108.212.7979-4.5979
1111.413.2717-1.8717
126.412.4937-6.09372
1310.612.6589-2.05895
141212.7788-0.778764
156.312.626-6.32595
1611.312.6943-1.39428
1711.912.9978-1.09782
189.312.3389-3.03892
199.612.3558-2.75582
201012.0809-2.08089
216.412.9968-6.59677
2213.812.56111.23894
2310.812.3619-1.56187
2413.812.77951.02051
2511.713.8144-2.11435
2610.912.2626-1.36256
2716.112.72763.3724
2813.413.25920.140754
299.913.7899-3.88989
3011.513.3965-1.89651
318.312.3386-4.0386
3211.712.1785-0.478468
33913.4015-4.40152
349.713.3218-3.62183
3510.813.7161-2.91614
3610.314.2713-3.97134
3710.412.5042-2.10418
3812.712.64310.0569048
399.313.4255-4.12545
4011.813.2521-1.45215
415.913.4702-7.57015
4211.413.5439-2.1439
431312.82450.175481
4410.813.8185-3.0185
4512.313.1499-0.849883
4611.313.4541-2.15407
4711.811.9389-0.138941
487.912.4363-4.53625
4912.711.31611.38392
5012.313.5624-1.2624
5111.613.9567-2.35673
526.712.4641-5.76412
5310.913.6421-2.74213
5412.112.3269-0.226864
5513.312.77970.520296
5610.113.6415-3.54147
575.713.5907-7.8907
5814.311.6662.63399
59812.4309-4.43086
6013.313.08630.21373
619.313.5963-4.29635
6212.511.92140.578612
637.614.0934-6.49335
6415.913.48242.41764
659.212.1785-2.97847
669.113.8138-4.71381
6711.113.3787-2.27867
681313.4302-0.43024
6914.513.93510.564878
7012.212.5045-0.304462
7112.312.4594-0.159449
7211.413.0987-1.69871
738.812.8033-4.00332
7414.613.27611.32392
7512.612.28240.317609
761312.16470.835307
7712.613.3568-0.756821
7813.212.90490.295063
799.912.3545-2.45447
807.712.1848-4.48484
8110.512.5863-2.0863
8213.412.08321.3168
8310.913.2475-2.34746
844.312.7269-8.42694
8510.312.8585-2.55849
8611.812.6132-0.813188
8711.213.0318-1.83178
8811.413.6193-2.21931
898.613.4988-4.89877
9013.211.79521.40481
9112.613.271-0.670963
925.612.9618-7.36178
939.911.8524-1.95243
948.812.8931-4.09315
957.711.9497-4.24968
96911.7205-2.72051
977.312.4881-5.18807
9811.413.6889-2.28891
9913.613.17880.421172
1007.913.3447-5.44471
10110.713.3387-2.63866
10210.313.8373-3.53732
1038.311.6788-3.37877
1049.612.1963-2.5963
10514.212.29821.90176
1068.512.0155-3.51555
10713.511.80121.69878
1084.913.3726-8.47263
1096.412.876-6.47601
1109.612.241-2.64101
11111.613.0987-1.49871
11211.113.0526-1.95263
1134.3512.5499-8.19991
11412.713.876-1.17598
11518.113.40324.69677
11617.8514.44273.40734
11716.613.70472.89532
11812.612.33830.261744
11917.113.49383.60623
12019.113.90465.1954
12116.113.04123.05876
12213.3512.36690.983125
12318.413.14995.25012
12414.713.52211.17794
12510.613.3205-2.72045
12612.611.9550.644976
12716.212.10424.09583
12813.612.43551.16449
12918.913.00255.89749
13014.113.44230.657717
13114.514.31680.183204
13216.1512.57353.57651
13314.7513.37261.37742
13414.813.1931.60704
13512.4513.7757-1.32572
13612.6512.9268-0.276765
13717.3513.77873.57127
1388.613.6078-5.00781
13918.413.13855.26151
14016.113.45942.64059
14111.613.7289-2.12892
14217.7513.21354.53648
14315.2511.78483.46519
14417.6513.54394.1061
14516.3512.54993.80009
14617.6513.12734.52267
14713.612.27841.32158
14814.3512.58051.76949
14914.7512.02432.72566
15018.2514.14624.10378
1519.912.3222-2.42217
1521613.76962.23035
15318.2513.42484.82518
15416.8512.07564.77445
15514.613.88810.711903
15613.8512.3391.51099
15718.9514.15094.79908
15815.613.15022.44979
15914.8513.0291.82097
16011.7513.6148-1.86484
16118.4513.66434.78566
16215.913.46482.43517
16317.113.88943.21056
16416.113.95672.14327
16519.914.17445.72558
16610.9513.2539-2.30385
16718.4513.18355.26648
16815.114.49480.605212
1691513.55571.44431
17011.3513.3894-2.03941
17115.9513.41842.53165
17218.112.7635.33701
17314.613.79720.80279
17415.413.71011.6899
17515.413.71011.6899
17617.612.85284.74719
17713.3512.94570.404303
17819.111.84177.25831
17915.3512.86592.4841
1807.612.6011-5.00108
18113.413.14420.25584
18213.912.54491.35513
18319.114.06035.03966
18415.2512.3062.94399
18512.913.2501-0.350113
18616.113.19562.90435
18717.3513.19564.15435
18813.1513.1956-0.0456479
18912.1513.167-1.01703
19012.611.9220.677988
19110.3513.2521-2.90215
19215.413.13272.26729
1939.613.3501-3.75005
19418.212.09476.10529
19513.612.42281.17721
19614.8513.95640.893584
19714.7512.77941.97061
19814.111.95542.14462
19914.912.46452.43553
20016.2512.59673.65329
20119.2513.04126.20876
20213.612.58461.01543
20313.612.3791.22098
20415.6513.70511.94494
20512.7513.4012-0.651197
20614.613.61930.980685
2079.8512.3673-2.5173
20812.6513.1832-0.533193
20919.211.6997.50105
21016.613.26053.33947
21111.213.6203-2.42028
21215.2513.04762.20236
21311.912.0718-0.171837
21413.212.17281.0272
21516.3512.81813.53188
21612.411.42470.975274
21715.8512.99272.85729
21818.1513.76274.38735
21911.1513.0469-1.89691
22015.6513.33232.31774
22117.7512.28185.46823
2227.6512.6391-4.98912
22312.3513.3211-0.971105
22415.612.5943.006
22519.314.21415.08589
22615.213.06472.13525
22717.113.04224.0578
22815.613.88281.71723
22918.413.45414.94593
23019.0513.23065.81937
23118.5511.81346.73657
23219.113.21355.88648
23313.113.4466-0.346649
23412.8513.5271-0.677066
2359.511.8134-2.31343
2364.513.5507-9.05068
23711.8512.3905-0.540493
23813.612.52841.07161
23911.711.7848-0.0848111
24012.412.5458-0.145846
24113.3513.4466-0.0966486
24211.411.8864-0.486394
24314.913.13341.76662
24419.914.17445.72558
24511.213.1263-1.92628
24614.612.79591.8041
24717.612.67714.92287
24814.0513.04991.00005
24916.112.41233.68767
25013.3512.82420.525807
25111.8512.3437-0.493696
25211.9513.2246-1.27458
25314.7513.8090.940975
25415.1512.15192.99806
25513.213.5156-0.315605
25616.8513.49813.35186
2577.8513.4705-5.62049
2587.713.2491-5.54914
25912.612.57990.020122
2607.8511.8292-3.97916
26110.9513.2539-2.30385
26212.3513.5268-1.17676
2639.9512.1128-2.1628
26414.913.13341.76662
26516.6513.58623.06378
26613.414.0305-0.630472
26713.9513.15080.799167
26815.711.62744.07264
26916.8513.72263.12744
27010.9513.741-2.79103
27115.3512.34573.00432
27212.213.7101-1.5101
27315.111.89813.20186
27417.7513.25214.49785
27515.212.94932.25066
27614.613.39011.20985
27716.6513.06473.58525
2788.112.8312-4.73121






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.4428410.8856820.557159
110.2786360.5572730.721364
120.5197620.9604770.480238
130.3918270.7836540.608173
140.2836310.5672620.716369
150.3454470.6908950.654553
160.2564160.5128320.743584
170.1840410.3680810.815959
180.1437850.2875690.856215
190.09923340.1984670.900767
200.06648090.1329620.933519
210.1170460.2340910.882954
220.1379550.2759110.862045
230.1044440.2088880.895556
240.0844950.168990.915505
250.05915990.118320.94084
260.06395510.127910.936045
270.1011970.2023950.898803
280.0792990.1585980.920701
290.09231950.1846390.907681
300.06806070.1361210.931939
310.05539450.1107890.944606
320.04056320.08112640.959437
330.04098360.08196710.959016
340.03492390.06984770.965076
350.02535940.05071890.974641
360.02099630.04199260.979004
370.01794630.03589260.982054
380.0158010.03160210.984199
390.01400380.02800750.985996
400.009669610.01933920.99033
410.02308040.04616070.97692
420.01678120.03356250.983219
430.01319240.02638480.986808
440.009992560.01998510.990007
450.007692170.01538430.992308
460.005419080.01083820.994581
470.003757990.007515980.996242
480.004869780.009739560.99513
490.004049020.008098040.995951
500.002923860.005847720.997076
510.002037920.004075840.997962
520.002732680.005465360.997267
530.001976190.003952370.998024
540.001495430.002990860.998505
550.001642180.003284360.998358
560.001369570.002739150.99863
570.003924470.007848930.996076
580.005271770.01054350.994728
590.004455350.008910690.995545
600.003505450.007010910.996495
610.003337550.00667510.996662
620.002503910.005007810.997496
630.00289150.0057830.997108
640.0048930.0097860.995107
650.004336930.008673850.995663
660.004144820.008289650.995855
670.003225690.006451380.996774
680.002599430.005198860.997401
690.004176420.008352830.995824
700.003418380.006836750.996582
710.002560630.005121260.997439
720.001918090.003836170.998082
730.001893980.003787960.998106
740.00208510.004170190.997915
750.001678530.003357070.998321
760.001249160.002498330.998751
770.0009252330.001850470.999075
780.0007622040.001524410.999238
790.0005706760.001141350.999429
800.0006429330.001285870.999357
810.0004741310.0009482620.999526
820.0004260320.0008520640.999574
830.0003187330.0006374670.999681
840.001664630.003329260.998335
850.001338070.002676150.998662
860.0009904040.001980810.99901
870.0007512670.001502530.999249
880.0005923090.001184620.999408
890.000695240.001390480.999305
900.0007501120.001500220.99925
910.0006346810.001269360.999365
920.001482250.00296450.998518
930.00115760.002315210.998842
940.001112970.002225940.998887
950.001288520.002577040.998711
960.001184010.002368020.998816
970.00191080.00382160.998089
980.001546920.003093850.998453
990.001453180.002906360.998547
1000.001930630.003861260.998069
1010.001666610.003333220.998333
1020.001576630.003153260.998423
1030.001841390.003682770.998159
1040.001614980.003229970.998385
1050.001654250.00330850.998346
1060.001791930.003583870.998208
1070.002142180.004284360.997858
1080.009110960.01822190.990889
1090.02011830.04023660.979882
1100.01836740.03673470.981633
1110.0163660.03273190.983634
1120.0153910.03078210.984609
1130.04835280.09670560.951647
1140.04787440.09574880.952126
1150.09791970.1958390.90208
1160.1375020.2750040.862498
1170.1741530.3483050.825847
1180.164040.328080.83596
1190.2058160.4116320.794184
1200.3087550.6175090.691245
1210.3348110.6696220.665189
1220.3214950.642990.678505
1230.4502840.9005670.549716
1240.4401710.8803420.559829
1250.4387090.8774170.561291
1260.4212210.8424430.578779
1270.4547650.909530.545235
1280.4393760.8787510.560624
1290.5480220.9039560.451978
1300.5238040.9523910.476196
1310.4994420.9988840.500558
1320.5106980.9786040.489302
1330.5018490.9963020.498151
1340.5087410.9825170.491259
1350.4826040.9652090.517396
1360.466550.93310.53345
1370.4917380.9834750.508262
1380.5621110.8757790.437889
1390.6303030.7393940.369697
1400.6285910.7428180.371409
1410.618550.76290.38145
1420.6526370.6947260.347363
1430.674450.6510990.32555
1440.6986840.6026320.301316
1450.7147820.5704350.285218
1460.7469440.5061120.253056
1470.7306420.5387160.269358
1480.7128210.5743570.287179
1490.7088640.5822710.291136
1500.7293260.5413480.270674
1510.7276270.5447450.272373
1520.7142910.5714190.285709
1530.7570870.4858270.242913
1540.7839290.4321410.216071
1550.7590520.4818970.240948
1560.7354550.529090.264545
1570.7703090.4593820.229691
1580.7600470.4799060.239953
1590.7440180.5119640.255982
1600.7378980.5242030.262102
1610.7712350.4575290.228765
1620.7609920.4780170.239008
1630.7595830.4808340.240417
1640.7413350.517330.258665
1650.7953950.409210.204605
1660.7854810.4290380.214519
1670.8227930.3544130.177207
1680.7988250.4023510.201175
1690.7769870.4460260.223013
1700.7687720.4624560.231228
1710.7580960.4838080.241904
1720.7922550.4154910.207745
1730.7660910.4678180.233909
1740.7439090.5121830.256091
1750.7209110.5581780.279089
1760.7425760.5148480.257424
1770.7128070.5743870.287193
1780.8176360.3647290.182364
1790.806190.3876210.19381
1800.8630850.2738290.136915
1810.8417420.3165160.158258
1820.8209070.3581860.179093
1830.8421530.3156940.157847
1840.8353920.3292150.164608
1850.8111310.3777390.188869
1860.801150.39770.19885
1870.8122690.3754620.187731
1880.7859320.4281370.214068
1890.7648280.4703430.235172
1900.7354350.5291310.264565
1910.7385970.5228070.261403
1920.7235580.5528840.276442
1930.7640960.4718080.235904
1940.8142740.3714520.185726
1950.796520.4069610.20348
1960.7696070.4607860.230393
1970.7490050.501990.250995
1980.7289750.542050.271025
1990.7054670.5890670.294533
2000.7019420.5961160.298058
2010.7760970.4478050.223903
2020.7465280.5069440.253472
2030.7158840.5682330.284116
2040.6864570.6270860.313543
2050.6683950.663210.331605
2060.6327210.7345580.367279
2070.6333030.7333930.366697
2080.6057880.7884240.394212
2090.6870670.6258660.312933
2100.6679090.6641820.332091
2110.6449180.7101630.355082
2120.6158870.7682260.384113
2130.5761850.8476310.423815
2140.5355770.9288450.464423
2150.5311190.9377610.468881
2160.490940.9818790.50906
2170.46680.93360.5332
2180.4924550.984910.507545
2190.4572950.914590.542705
2200.4293550.8587110.570645
2210.4836780.9673550.516322
2220.6410480.7179040.358952
2230.5987310.8025380.401269
2240.5637220.8725550.436278
2250.550350.89930.44965
2260.515570.9688590.48443
2270.4878590.9757180.512141
2280.4474340.8948690.552566
2290.5116390.9767220.488361
2300.5637610.8724790.436239
2310.6922820.6154350.307718
2320.772050.45590.22795
2330.7330270.5339460.266973
2340.6954350.6091290.304565
2350.6685920.6628150.331408
2360.9210410.1579190.0789594
2370.902030.1959390.0979697
2380.8771020.2457960.122898
2390.8485240.3029530.151476
2400.8134040.3731930.186596
2410.7759020.4481960.224098
2420.7353050.529390.264695
2430.6875770.6248460.312423
2440.8146720.3706570.185328
2450.7988830.4022340.201117
2460.7582120.4835760.241788
2470.7624990.4750020.237501
2480.7270220.5459570.272978
2490.7563920.4872160.243608
2500.7085780.5828440.291422
2510.6539950.692010.346005
2520.6176480.7647030.382352
2530.5501180.8997640.449882
2540.5136410.9727180.486359
2550.451410.9028210.54859
2560.397380.794760.60262
2570.7132760.5734470.286724
2580.7239810.5520380.276019
2590.6654560.6690880.334544
2600.8440110.3119790.155989
2610.8507280.2985440.149272
2620.9121780.1756450.0878223
2630.8694560.2610890.130544
2640.8358890.3282230.164111
2650.7487610.5024790.251239
2660.629930.740140.37007
2670.4835730.9671450.516427
2680.3357230.6714460.664277

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.442841 & 0.885682 & 0.557159 \tabularnewline
11 & 0.278636 & 0.557273 & 0.721364 \tabularnewline
12 & 0.519762 & 0.960477 & 0.480238 \tabularnewline
13 & 0.391827 & 0.783654 & 0.608173 \tabularnewline
14 & 0.283631 & 0.567262 & 0.716369 \tabularnewline
15 & 0.345447 & 0.690895 & 0.654553 \tabularnewline
16 & 0.256416 & 0.512832 & 0.743584 \tabularnewline
17 & 0.184041 & 0.368081 & 0.815959 \tabularnewline
18 & 0.143785 & 0.287569 & 0.856215 \tabularnewline
19 & 0.0992334 & 0.198467 & 0.900767 \tabularnewline
20 & 0.0664809 & 0.132962 & 0.933519 \tabularnewline
21 & 0.117046 & 0.234091 & 0.882954 \tabularnewline
22 & 0.137955 & 0.275911 & 0.862045 \tabularnewline
23 & 0.104444 & 0.208888 & 0.895556 \tabularnewline
24 & 0.084495 & 0.16899 & 0.915505 \tabularnewline
25 & 0.0591599 & 0.11832 & 0.94084 \tabularnewline
26 & 0.0639551 & 0.12791 & 0.936045 \tabularnewline
27 & 0.101197 & 0.202395 & 0.898803 \tabularnewline
28 & 0.079299 & 0.158598 & 0.920701 \tabularnewline
29 & 0.0923195 & 0.184639 & 0.907681 \tabularnewline
30 & 0.0680607 & 0.136121 & 0.931939 \tabularnewline
31 & 0.0553945 & 0.110789 & 0.944606 \tabularnewline
32 & 0.0405632 & 0.0811264 & 0.959437 \tabularnewline
33 & 0.0409836 & 0.0819671 & 0.959016 \tabularnewline
34 & 0.0349239 & 0.0698477 & 0.965076 \tabularnewline
35 & 0.0253594 & 0.0507189 & 0.974641 \tabularnewline
36 & 0.0209963 & 0.0419926 & 0.979004 \tabularnewline
37 & 0.0179463 & 0.0358926 & 0.982054 \tabularnewline
38 & 0.015801 & 0.0316021 & 0.984199 \tabularnewline
39 & 0.0140038 & 0.0280075 & 0.985996 \tabularnewline
40 & 0.00966961 & 0.0193392 & 0.99033 \tabularnewline
41 & 0.0230804 & 0.0461607 & 0.97692 \tabularnewline
42 & 0.0167812 & 0.0335625 & 0.983219 \tabularnewline
43 & 0.0131924 & 0.0263848 & 0.986808 \tabularnewline
44 & 0.00999256 & 0.0199851 & 0.990007 \tabularnewline
45 & 0.00769217 & 0.0153843 & 0.992308 \tabularnewline
46 & 0.00541908 & 0.0108382 & 0.994581 \tabularnewline
47 & 0.00375799 & 0.00751598 & 0.996242 \tabularnewline
48 & 0.00486978 & 0.00973956 & 0.99513 \tabularnewline
49 & 0.00404902 & 0.00809804 & 0.995951 \tabularnewline
50 & 0.00292386 & 0.00584772 & 0.997076 \tabularnewline
51 & 0.00203792 & 0.00407584 & 0.997962 \tabularnewline
52 & 0.00273268 & 0.00546536 & 0.997267 \tabularnewline
53 & 0.00197619 & 0.00395237 & 0.998024 \tabularnewline
54 & 0.00149543 & 0.00299086 & 0.998505 \tabularnewline
55 & 0.00164218 & 0.00328436 & 0.998358 \tabularnewline
56 & 0.00136957 & 0.00273915 & 0.99863 \tabularnewline
57 & 0.00392447 & 0.00784893 & 0.996076 \tabularnewline
58 & 0.00527177 & 0.0105435 & 0.994728 \tabularnewline
59 & 0.00445535 & 0.00891069 & 0.995545 \tabularnewline
60 & 0.00350545 & 0.00701091 & 0.996495 \tabularnewline
61 & 0.00333755 & 0.0066751 & 0.996662 \tabularnewline
62 & 0.00250391 & 0.00500781 & 0.997496 \tabularnewline
63 & 0.0028915 & 0.005783 & 0.997108 \tabularnewline
64 & 0.004893 & 0.009786 & 0.995107 \tabularnewline
65 & 0.00433693 & 0.00867385 & 0.995663 \tabularnewline
66 & 0.00414482 & 0.00828965 & 0.995855 \tabularnewline
67 & 0.00322569 & 0.00645138 & 0.996774 \tabularnewline
68 & 0.00259943 & 0.00519886 & 0.997401 \tabularnewline
69 & 0.00417642 & 0.00835283 & 0.995824 \tabularnewline
70 & 0.00341838 & 0.00683675 & 0.996582 \tabularnewline
71 & 0.00256063 & 0.00512126 & 0.997439 \tabularnewline
72 & 0.00191809 & 0.00383617 & 0.998082 \tabularnewline
73 & 0.00189398 & 0.00378796 & 0.998106 \tabularnewline
74 & 0.0020851 & 0.00417019 & 0.997915 \tabularnewline
75 & 0.00167853 & 0.00335707 & 0.998321 \tabularnewline
76 & 0.00124916 & 0.00249833 & 0.998751 \tabularnewline
77 & 0.000925233 & 0.00185047 & 0.999075 \tabularnewline
78 & 0.000762204 & 0.00152441 & 0.999238 \tabularnewline
79 & 0.000570676 & 0.00114135 & 0.999429 \tabularnewline
80 & 0.000642933 & 0.00128587 & 0.999357 \tabularnewline
81 & 0.000474131 & 0.000948262 & 0.999526 \tabularnewline
82 & 0.000426032 & 0.000852064 & 0.999574 \tabularnewline
83 & 0.000318733 & 0.000637467 & 0.999681 \tabularnewline
84 & 0.00166463 & 0.00332926 & 0.998335 \tabularnewline
85 & 0.00133807 & 0.00267615 & 0.998662 \tabularnewline
86 & 0.000990404 & 0.00198081 & 0.99901 \tabularnewline
87 & 0.000751267 & 0.00150253 & 0.999249 \tabularnewline
88 & 0.000592309 & 0.00118462 & 0.999408 \tabularnewline
89 & 0.00069524 & 0.00139048 & 0.999305 \tabularnewline
90 & 0.000750112 & 0.00150022 & 0.99925 \tabularnewline
91 & 0.000634681 & 0.00126936 & 0.999365 \tabularnewline
92 & 0.00148225 & 0.0029645 & 0.998518 \tabularnewline
93 & 0.0011576 & 0.00231521 & 0.998842 \tabularnewline
94 & 0.00111297 & 0.00222594 & 0.998887 \tabularnewline
95 & 0.00128852 & 0.00257704 & 0.998711 \tabularnewline
96 & 0.00118401 & 0.00236802 & 0.998816 \tabularnewline
97 & 0.0019108 & 0.0038216 & 0.998089 \tabularnewline
98 & 0.00154692 & 0.00309385 & 0.998453 \tabularnewline
99 & 0.00145318 & 0.00290636 & 0.998547 \tabularnewline
100 & 0.00193063 & 0.00386126 & 0.998069 \tabularnewline
101 & 0.00166661 & 0.00333322 & 0.998333 \tabularnewline
102 & 0.00157663 & 0.00315326 & 0.998423 \tabularnewline
103 & 0.00184139 & 0.00368277 & 0.998159 \tabularnewline
104 & 0.00161498 & 0.00322997 & 0.998385 \tabularnewline
105 & 0.00165425 & 0.0033085 & 0.998346 \tabularnewline
106 & 0.00179193 & 0.00358387 & 0.998208 \tabularnewline
107 & 0.00214218 & 0.00428436 & 0.997858 \tabularnewline
108 & 0.00911096 & 0.0182219 & 0.990889 \tabularnewline
109 & 0.0201183 & 0.0402366 & 0.979882 \tabularnewline
110 & 0.0183674 & 0.0367347 & 0.981633 \tabularnewline
111 & 0.016366 & 0.0327319 & 0.983634 \tabularnewline
112 & 0.015391 & 0.0307821 & 0.984609 \tabularnewline
113 & 0.0483528 & 0.0967056 & 0.951647 \tabularnewline
114 & 0.0478744 & 0.0957488 & 0.952126 \tabularnewline
115 & 0.0979197 & 0.195839 & 0.90208 \tabularnewline
116 & 0.137502 & 0.275004 & 0.862498 \tabularnewline
117 & 0.174153 & 0.348305 & 0.825847 \tabularnewline
118 & 0.16404 & 0.32808 & 0.83596 \tabularnewline
119 & 0.205816 & 0.411632 & 0.794184 \tabularnewline
120 & 0.308755 & 0.617509 & 0.691245 \tabularnewline
121 & 0.334811 & 0.669622 & 0.665189 \tabularnewline
122 & 0.321495 & 0.64299 & 0.678505 \tabularnewline
123 & 0.450284 & 0.900567 & 0.549716 \tabularnewline
124 & 0.440171 & 0.880342 & 0.559829 \tabularnewline
125 & 0.438709 & 0.877417 & 0.561291 \tabularnewline
126 & 0.421221 & 0.842443 & 0.578779 \tabularnewline
127 & 0.454765 & 0.90953 & 0.545235 \tabularnewline
128 & 0.439376 & 0.878751 & 0.560624 \tabularnewline
129 & 0.548022 & 0.903956 & 0.451978 \tabularnewline
130 & 0.523804 & 0.952391 & 0.476196 \tabularnewline
131 & 0.499442 & 0.998884 & 0.500558 \tabularnewline
132 & 0.510698 & 0.978604 & 0.489302 \tabularnewline
133 & 0.501849 & 0.996302 & 0.498151 \tabularnewline
134 & 0.508741 & 0.982517 & 0.491259 \tabularnewline
135 & 0.482604 & 0.965209 & 0.517396 \tabularnewline
136 & 0.46655 & 0.9331 & 0.53345 \tabularnewline
137 & 0.491738 & 0.983475 & 0.508262 \tabularnewline
138 & 0.562111 & 0.875779 & 0.437889 \tabularnewline
139 & 0.630303 & 0.739394 & 0.369697 \tabularnewline
140 & 0.628591 & 0.742818 & 0.371409 \tabularnewline
141 & 0.61855 & 0.7629 & 0.38145 \tabularnewline
142 & 0.652637 & 0.694726 & 0.347363 \tabularnewline
143 & 0.67445 & 0.651099 & 0.32555 \tabularnewline
144 & 0.698684 & 0.602632 & 0.301316 \tabularnewline
145 & 0.714782 & 0.570435 & 0.285218 \tabularnewline
146 & 0.746944 & 0.506112 & 0.253056 \tabularnewline
147 & 0.730642 & 0.538716 & 0.269358 \tabularnewline
148 & 0.712821 & 0.574357 & 0.287179 \tabularnewline
149 & 0.708864 & 0.582271 & 0.291136 \tabularnewline
150 & 0.729326 & 0.541348 & 0.270674 \tabularnewline
151 & 0.727627 & 0.544745 & 0.272373 \tabularnewline
152 & 0.714291 & 0.571419 & 0.285709 \tabularnewline
153 & 0.757087 & 0.485827 & 0.242913 \tabularnewline
154 & 0.783929 & 0.432141 & 0.216071 \tabularnewline
155 & 0.759052 & 0.481897 & 0.240948 \tabularnewline
156 & 0.735455 & 0.52909 & 0.264545 \tabularnewline
157 & 0.770309 & 0.459382 & 0.229691 \tabularnewline
158 & 0.760047 & 0.479906 & 0.239953 \tabularnewline
159 & 0.744018 & 0.511964 & 0.255982 \tabularnewline
160 & 0.737898 & 0.524203 & 0.262102 \tabularnewline
161 & 0.771235 & 0.457529 & 0.228765 \tabularnewline
162 & 0.760992 & 0.478017 & 0.239008 \tabularnewline
163 & 0.759583 & 0.480834 & 0.240417 \tabularnewline
164 & 0.741335 & 0.51733 & 0.258665 \tabularnewline
165 & 0.795395 & 0.40921 & 0.204605 \tabularnewline
166 & 0.785481 & 0.429038 & 0.214519 \tabularnewline
167 & 0.822793 & 0.354413 & 0.177207 \tabularnewline
168 & 0.798825 & 0.402351 & 0.201175 \tabularnewline
169 & 0.776987 & 0.446026 & 0.223013 \tabularnewline
170 & 0.768772 & 0.462456 & 0.231228 \tabularnewline
171 & 0.758096 & 0.483808 & 0.241904 \tabularnewline
172 & 0.792255 & 0.415491 & 0.207745 \tabularnewline
173 & 0.766091 & 0.467818 & 0.233909 \tabularnewline
174 & 0.743909 & 0.512183 & 0.256091 \tabularnewline
175 & 0.720911 & 0.558178 & 0.279089 \tabularnewline
176 & 0.742576 & 0.514848 & 0.257424 \tabularnewline
177 & 0.712807 & 0.574387 & 0.287193 \tabularnewline
178 & 0.817636 & 0.364729 & 0.182364 \tabularnewline
179 & 0.80619 & 0.387621 & 0.19381 \tabularnewline
180 & 0.863085 & 0.273829 & 0.136915 \tabularnewline
181 & 0.841742 & 0.316516 & 0.158258 \tabularnewline
182 & 0.820907 & 0.358186 & 0.179093 \tabularnewline
183 & 0.842153 & 0.315694 & 0.157847 \tabularnewline
184 & 0.835392 & 0.329215 & 0.164608 \tabularnewline
185 & 0.811131 & 0.377739 & 0.188869 \tabularnewline
186 & 0.80115 & 0.3977 & 0.19885 \tabularnewline
187 & 0.812269 & 0.375462 & 0.187731 \tabularnewline
188 & 0.785932 & 0.428137 & 0.214068 \tabularnewline
189 & 0.764828 & 0.470343 & 0.235172 \tabularnewline
190 & 0.735435 & 0.529131 & 0.264565 \tabularnewline
191 & 0.738597 & 0.522807 & 0.261403 \tabularnewline
192 & 0.723558 & 0.552884 & 0.276442 \tabularnewline
193 & 0.764096 & 0.471808 & 0.235904 \tabularnewline
194 & 0.814274 & 0.371452 & 0.185726 \tabularnewline
195 & 0.79652 & 0.406961 & 0.20348 \tabularnewline
196 & 0.769607 & 0.460786 & 0.230393 \tabularnewline
197 & 0.749005 & 0.50199 & 0.250995 \tabularnewline
198 & 0.728975 & 0.54205 & 0.271025 \tabularnewline
199 & 0.705467 & 0.589067 & 0.294533 \tabularnewline
200 & 0.701942 & 0.596116 & 0.298058 \tabularnewline
201 & 0.776097 & 0.447805 & 0.223903 \tabularnewline
202 & 0.746528 & 0.506944 & 0.253472 \tabularnewline
203 & 0.715884 & 0.568233 & 0.284116 \tabularnewline
204 & 0.686457 & 0.627086 & 0.313543 \tabularnewline
205 & 0.668395 & 0.66321 & 0.331605 \tabularnewline
206 & 0.632721 & 0.734558 & 0.367279 \tabularnewline
207 & 0.633303 & 0.733393 & 0.366697 \tabularnewline
208 & 0.605788 & 0.788424 & 0.394212 \tabularnewline
209 & 0.687067 & 0.625866 & 0.312933 \tabularnewline
210 & 0.667909 & 0.664182 & 0.332091 \tabularnewline
211 & 0.644918 & 0.710163 & 0.355082 \tabularnewline
212 & 0.615887 & 0.768226 & 0.384113 \tabularnewline
213 & 0.576185 & 0.847631 & 0.423815 \tabularnewline
214 & 0.535577 & 0.928845 & 0.464423 \tabularnewline
215 & 0.531119 & 0.937761 & 0.468881 \tabularnewline
216 & 0.49094 & 0.981879 & 0.50906 \tabularnewline
217 & 0.4668 & 0.9336 & 0.5332 \tabularnewline
218 & 0.492455 & 0.98491 & 0.507545 \tabularnewline
219 & 0.457295 & 0.91459 & 0.542705 \tabularnewline
220 & 0.429355 & 0.858711 & 0.570645 \tabularnewline
221 & 0.483678 & 0.967355 & 0.516322 \tabularnewline
222 & 0.641048 & 0.717904 & 0.358952 \tabularnewline
223 & 0.598731 & 0.802538 & 0.401269 \tabularnewline
224 & 0.563722 & 0.872555 & 0.436278 \tabularnewline
225 & 0.55035 & 0.8993 & 0.44965 \tabularnewline
226 & 0.51557 & 0.968859 & 0.48443 \tabularnewline
227 & 0.487859 & 0.975718 & 0.512141 \tabularnewline
228 & 0.447434 & 0.894869 & 0.552566 \tabularnewline
229 & 0.511639 & 0.976722 & 0.488361 \tabularnewline
230 & 0.563761 & 0.872479 & 0.436239 \tabularnewline
231 & 0.692282 & 0.615435 & 0.307718 \tabularnewline
232 & 0.77205 & 0.4559 & 0.22795 \tabularnewline
233 & 0.733027 & 0.533946 & 0.266973 \tabularnewline
234 & 0.695435 & 0.609129 & 0.304565 \tabularnewline
235 & 0.668592 & 0.662815 & 0.331408 \tabularnewline
236 & 0.921041 & 0.157919 & 0.0789594 \tabularnewline
237 & 0.90203 & 0.195939 & 0.0979697 \tabularnewline
238 & 0.877102 & 0.245796 & 0.122898 \tabularnewline
239 & 0.848524 & 0.302953 & 0.151476 \tabularnewline
240 & 0.813404 & 0.373193 & 0.186596 \tabularnewline
241 & 0.775902 & 0.448196 & 0.224098 \tabularnewline
242 & 0.735305 & 0.52939 & 0.264695 \tabularnewline
243 & 0.687577 & 0.624846 & 0.312423 \tabularnewline
244 & 0.814672 & 0.370657 & 0.185328 \tabularnewline
245 & 0.798883 & 0.402234 & 0.201117 \tabularnewline
246 & 0.758212 & 0.483576 & 0.241788 \tabularnewline
247 & 0.762499 & 0.475002 & 0.237501 \tabularnewline
248 & 0.727022 & 0.545957 & 0.272978 \tabularnewline
249 & 0.756392 & 0.487216 & 0.243608 \tabularnewline
250 & 0.708578 & 0.582844 & 0.291422 \tabularnewline
251 & 0.653995 & 0.69201 & 0.346005 \tabularnewline
252 & 0.617648 & 0.764703 & 0.382352 \tabularnewline
253 & 0.550118 & 0.899764 & 0.449882 \tabularnewline
254 & 0.513641 & 0.972718 & 0.486359 \tabularnewline
255 & 0.45141 & 0.902821 & 0.54859 \tabularnewline
256 & 0.39738 & 0.79476 & 0.60262 \tabularnewline
257 & 0.713276 & 0.573447 & 0.286724 \tabularnewline
258 & 0.723981 & 0.552038 & 0.276019 \tabularnewline
259 & 0.665456 & 0.669088 & 0.334544 \tabularnewline
260 & 0.844011 & 0.311979 & 0.155989 \tabularnewline
261 & 0.850728 & 0.298544 & 0.149272 \tabularnewline
262 & 0.912178 & 0.175645 & 0.0878223 \tabularnewline
263 & 0.869456 & 0.261089 & 0.130544 \tabularnewline
264 & 0.835889 & 0.328223 & 0.164111 \tabularnewline
265 & 0.748761 & 0.502479 & 0.251239 \tabularnewline
266 & 0.62993 & 0.74014 & 0.37007 \tabularnewline
267 & 0.483573 & 0.967145 & 0.516427 \tabularnewline
268 & 0.335723 & 0.671446 & 0.664277 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266259&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]0.442841[/C][C]0.885682[/C][C]0.557159[/C][/ROW]
[ROW][C]11[/C][C]0.278636[/C][C]0.557273[/C][C]0.721364[/C][/ROW]
[ROW][C]12[/C][C]0.519762[/C][C]0.960477[/C][C]0.480238[/C][/ROW]
[ROW][C]13[/C][C]0.391827[/C][C]0.783654[/C][C]0.608173[/C][/ROW]
[ROW][C]14[/C][C]0.283631[/C][C]0.567262[/C][C]0.716369[/C][/ROW]
[ROW][C]15[/C][C]0.345447[/C][C]0.690895[/C][C]0.654553[/C][/ROW]
[ROW][C]16[/C][C]0.256416[/C][C]0.512832[/C][C]0.743584[/C][/ROW]
[ROW][C]17[/C][C]0.184041[/C][C]0.368081[/C][C]0.815959[/C][/ROW]
[ROW][C]18[/C][C]0.143785[/C][C]0.287569[/C][C]0.856215[/C][/ROW]
[ROW][C]19[/C][C]0.0992334[/C][C]0.198467[/C][C]0.900767[/C][/ROW]
[ROW][C]20[/C][C]0.0664809[/C][C]0.132962[/C][C]0.933519[/C][/ROW]
[ROW][C]21[/C][C]0.117046[/C][C]0.234091[/C][C]0.882954[/C][/ROW]
[ROW][C]22[/C][C]0.137955[/C][C]0.275911[/C][C]0.862045[/C][/ROW]
[ROW][C]23[/C][C]0.104444[/C][C]0.208888[/C][C]0.895556[/C][/ROW]
[ROW][C]24[/C][C]0.084495[/C][C]0.16899[/C][C]0.915505[/C][/ROW]
[ROW][C]25[/C][C]0.0591599[/C][C]0.11832[/C][C]0.94084[/C][/ROW]
[ROW][C]26[/C][C]0.0639551[/C][C]0.12791[/C][C]0.936045[/C][/ROW]
[ROW][C]27[/C][C]0.101197[/C][C]0.202395[/C][C]0.898803[/C][/ROW]
[ROW][C]28[/C][C]0.079299[/C][C]0.158598[/C][C]0.920701[/C][/ROW]
[ROW][C]29[/C][C]0.0923195[/C][C]0.184639[/C][C]0.907681[/C][/ROW]
[ROW][C]30[/C][C]0.0680607[/C][C]0.136121[/C][C]0.931939[/C][/ROW]
[ROW][C]31[/C][C]0.0553945[/C][C]0.110789[/C][C]0.944606[/C][/ROW]
[ROW][C]32[/C][C]0.0405632[/C][C]0.0811264[/C][C]0.959437[/C][/ROW]
[ROW][C]33[/C][C]0.0409836[/C][C]0.0819671[/C][C]0.959016[/C][/ROW]
[ROW][C]34[/C][C]0.0349239[/C][C]0.0698477[/C][C]0.965076[/C][/ROW]
[ROW][C]35[/C][C]0.0253594[/C][C]0.0507189[/C][C]0.974641[/C][/ROW]
[ROW][C]36[/C][C]0.0209963[/C][C]0.0419926[/C][C]0.979004[/C][/ROW]
[ROW][C]37[/C][C]0.0179463[/C][C]0.0358926[/C][C]0.982054[/C][/ROW]
[ROW][C]38[/C][C]0.015801[/C][C]0.0316021[/C][C]0.984199[/C][/ROW]
[ROW][C]39[/C][C]0.0140038[/C][C]0.0280075[/C][C]0.985996[/C][/ROW]
[ROW][C]40[/C][C]0.00966961[/C][C]0.0193392[/C][C]0.99033[/C][/ROW]
[ROW][C]41[/C][C]0.0230804[/C][C]0.0461607[/C][C]0.97692[/C][/ROW]
[ROW][C]42[/C][C]0.0167812[/C][C]0.0335625[/C][C]0.983219[/C][/ROW]
[ROW][C]43[/C][C]0.0131924[/C][C]0.0263848[/C][C]0.986808[/C][/ROW]
[ROW][C]44[/C][C]0.00999256[/C][C]0.0199851[/C][C]0.990007[/C][/ROW]
[ROW][C]45[/C][C]0.00769217[/C][C]0.0153843[/C][C]0.992308[/C][/ROW]
[ROW][C]46[/C][C]0.00541908[/C][C]0.0108382[/C][C]0.994581[/C][/ROW]
[ROW][C]47[/C][C]0.00375799[/C][C]0.00751598[/C][C]0.996242[/C][/ROW]
[ROW][C]48[/C][C]0.00486978[/C][C]0.00973956[/C][C]0.99513[/C][/ROW]
[ROW][C]49[/C][C]0.00404902[/C][C]0.00809804[/C][C]0.995951[/C][/ROW]
[ROW][C]50[/C][C]0.00292386[/C][C]0.00584772[/C][C]0.997076[/C][/ROW]
[ROW][C]51[/C][C]0.00203792[/C][C]0.00407584[/C][C]0.997962[/C][/ROW]
[ROW][C]52[/C][C]0.00273268[/C][C]0.00546536[/C][C]0.997267[/C][/ROW]
[ROW][C]53[/C][C]0.00197619[/C][C]0.00395237[/C][C]0.998024[/C][/ROW]
[ROW][C]54[/C][C]0.00149543[/C][C]0.00299086[/C][C]0.998505[/C][/ROW]
[ROW][C]55[/C][C]0.00164218[/C][C]0.00328436[/C][C]0.998358[/C][/ROW]
[ROW][C]56[/C][C]0.00136957[/C][C]0.00273915[/C][C]0.99863[/C][/ROW]
[ROW][C]57[/C][C]0.00392447[/C][C]0.00784893[/C][C]0.996076[/C][/ROW]
[ROW][C]58[/C][C]0.00527177[/C][C]0.0105435[/C][C]0.994728[/C][/ROW]
[ROW][C]59[/C][C]0.00445535[/C][C]0.00891069[/C][C]0.995545[/C][/ROW]
[ROW][C]60[/C][C]0.00350545[/C][C]0.00701091[/C][C]0.996495[/C][/ROW]
[ROW][C]61[/C][C]0.00333755[/C][C]0.0066751[/C][C]0.996662[/C][/ROW]
[ROW][C]62[/C][C]0.00250391[/C][C]0.00500781[/C][C]0.997496[/C][/ROW]
[ROW][C]63[/C][C]0.0028915[/C][C]0.005783[/C][C]0.997108[/C][/ROW]
[ROW][C]64[/C][C]0.004893[/C][C]0.009786[/C][C]0.995107[/C][/ROW]
[ROW][C]65[/C][C]0.00433693[/C][C]0.00867385[/C][C]0.995663[/C][/ROW]
[ROW][C]66[/C][C]0.00414482[/C][C]0.00828965[/C][C]0.995855[/C][/ROW]
[ROW][C]67[/C][C]0.00322569[/C][C]0.00645138[/C][C]0.996774[/C][/ROW]
[ROW][C]68[/C][C]0.00259943[/C][C]0.00519886[/C][C]0.997401[/C][/ROW]
[ROW][C]69[/C][C]0.00417642[/C][C]0.00835283[/C][C]0.995824[/C][/ROW]
[ROW][C]70[/C][C]0.00341838[/C][C]0.00683675[/C][C]0.996582[/C][/ROW]
[ROW][C]71[/C][C]0.00256063[/C][C]0.00512126[/C][C]0.997439[/C][/ROW]
[ROW][C]72[/C][C]0.00191809[/C][C]0.00383617[/C][C]0.998082[/C][/ROW]
[ROW][C]73[/C][C]0.00189398[/C][C]0.00378796[/C][C]0.998106[/C][/ROW]
[ROW][C]74[/C][C]0.0020851[/C][C]0.00417019[/C][C]0.997915[/C][/ROW]
[ROW][C]75[/C][C]0.00167853[/C][C]0.00335707[/C][C]0.998321[/C][/ROW]
[ROW][C]76[/C][C]0.00124916[/C][C]0.00249833[/C][C]0.998751[/C][/ROW]
[ROW][C]77[/C][C]0.000925233[/C][C]0.00185047[/C][C]0.999075[/C][/ROW]
[ROW][C]78[/C][C]0.000762204[/C][C]0.00152441[/C][C]0.999238[/C][/ROW]
[ROW][C]79[/C][C]0.000570676[/C][C]0.00114135[/C][C]0.999429[/C][/ROW]
[ROW][C]80[/C][C]0.000642933[/C][C]0.00128587[/C][C]0.999357[/C][/ROW]
[ROW][C]81[/C][C]0.000474131[/C][C]0.000948262[/C][C]0.999526[/C][/ROW]
[ROW][C]82[/C][C]0.000426032[/C][C]0.000852064[/C][C]0.999574[/C][/ROW]
[ROW][C]83[/C][C]0.000318733[/C][C]0.000637467[/C][C]0.999681[/C][/ROW]
[ROW][C]84[/C][C]0.00166463[/C][C]0.00332926[/C][C]0.998335[/C][/ROW]
[ROW][C]85[/C][C]0.00133807[/C][C]0.00267615[/C][C]0.998662[/C][/ROW]
[ROW][C]86[/C][C]0.000990404[/C][C]0.00198081[/C][C]0.99901[/C][/ROW]
[ROW][C]87[/C][C]0.000751267[/C][C]0.00150253[/C][C]0.999249[/C][/ROW]
[ROW][C]88[/C][C]0.000592309[/C][C]0.00118462[/C][C]0.999408[/C][/ROW]
[ROW][C]89[/C][C]0.00069524[/C][C]0.00139048[/C][C]0.999305[/C][/ROW]
[ROW][C]90[/C][C]0.000750112[/C][C]0.00150022[/C][C]0.99925[/C][/ROW]
[ROW][C]91[/C][C]0.000634681[/C][C]0.00126936[/C][C]0.999365[/C][/ROW]
[ROW][C]92[/C][C]0.00148225[/C][C]0.0029645[/C][C]0.998518[/C][/ROW]
[ROW][C]93[/C][C]0.0011576[/C][C]0.00231521[/C][C]0.998842[/C][/ROW]
[ROW][C]94[/C][C]0.00111297[/C][C]0.00222594[/C][C]0.998887[/C][/ROW]
[ROW][C]95[/C][C]0.00128852[/C][C]0.00257704[/C][C]0.998711[/C][/ROW]
[ROW][C]96[/C][C]0.00118401[/C][C]0.00236802[/C][C]0.998816[/C][/ROW]
[ROW][C]97[/C][C]0.0019108[/C][C]0.0038216[/C][C]0.998089[/C][/ROW]
[ROW][C]98[/C][C]0.00154692[/C][C]0.00309385[/C][C]0.998453[/C][/ROW]
[ROW][C]99[/C][C]0.00145318[/C][C]0.00290636[/C][C]0.998547[/C][/ROW]
[ROW][C]100[/C][C]0.00193063[/C][C]0.00386126[/C][C]0.998069[/C][/ROW]
[ROW][C]101[/C][C]0.00166661[/C][C]0.00333322[/C][C]0.998333[/C][/ROW]
[ROW][C]102[/C][C]0.00157663[/C][C]0.00315326[/C][C]0.998423[/C][/ROW]
[ROW][C]103[/C][C]0.00184139[/C][C]0.00368277[/C][C]0.998159[/C][/ROW]
[ROW][C]104[/C][C]0.00161498[/C][C]0.00322997[/C][C]0.998385[/C][/ROW]
[ROW][C]105[/C][C]0.00165425[/C][C]0.0033085[/C][C]0.998346[/C][/ROW]
[ROW][C]106[/C][C]0.00179193[/C][C]0.00358387[/C][C]0.998208[/C][/ROW]
[ROW][C]107[/C][C]0.00214218[/C][C]0.00428436[/C][C]0.997858[/C][/ROW]
[ROW][C]108[/C][C]0.00911096[/C][C]0.0182219[/C][C]0.990889[/C][/ROW]
[ROW][C]109[/C][C]0.0201183[/C][C]0.0402366[/C][C]0.979882[/C][/ROW]
[ROW][C]110[/C][C]0.0183674[/C][C]0.0367347[/C][C]0.981633[/C][/ROW]
[ROW][C]111[/C][C]0.016366[/C][C]0.0327319[/C][C]0.983634[/C][/ROW]
[ROW][C]112[/C][C]0.015391[/C][C]0.0307821[/C][C]0.984609[/C][/ROW]
[ROW][C]113[/C][C]0.0483528[/C][C]0.0967056[/C][C]0.951647[/C][/ROW]
[ROW][C]114[/C][C]0.0478744[/C][C]0.0957488[/C][C]0.952126[/C][/ROW]
[ROW][C]115[/C][C]0.0979197[/C][C]0.195839[/C][C]0.90208[/C][/ROW]
[ROW][C]116[/C][C]0.137502[/C][C]0.275004[/C][C]0.862498[/C][/ROW]
[ROW][C]117[/C][C]0.174153[/C][C]0.348305[/C][C]0.825847[/C][/ROW]
[ROW][C]118[/C][C]0.16404[/C][C]0.32808[/C][C]0.83596[/C][/ROW]
[ROW][C]119[/C][C]0.205816[/C][C]0.411632[/C][C]0.794184[/C][/ROW]
[ROW][C]120[/C][C]0.308755[/C][C]0.617509[/C][C]0.691245[/C][/ROW]
[ROW][C]121[/C][C]0.334811[/C][C]0.669622[/C][C]0.665189[/C][/ROW]
[ROW][C]122[/C][C]0.321495[/C][C]0.64299[/C][C]0.678505[/C][/ROW]
[ROW][C]123[/C][C]0.450284[/C][C]0.900567[/C][C]0.549716[/C][/ROW]
[ROW][C]124[/C][C]0.440171[/C][C]0.880342[/C][C]0.559829[/C][/ROW]
[ROW][C]125[/C][C]0.438709[/C][C]0.877417[/C][C]0.561291[/C][/ROW]
[ROW][C]126[/C][C]0.421221[/C][C]0.842443[/C][C]0.578779[/C][/ROW]
[ROW][C]127[/C][C]0.454765[/C][C]0.90953[/C][C]0.545235[/C][/ROW]
[ROW][C]128[/C][C]0.439376[/C][C]0.878751[/C][C]0.560624[/C][/ROW]
[ROW][C]129[/C][C]0.548022[/C][C]0.903956[/C][C]0.451978[/C][/ROW]
[ROW][C]130[/C][C]0.523804[/C][C]0.952391[/C][C]0.476196[/C][/ROW]
[ROW][C]131[/C][C]0.499442[/C][C]0.998884[/C][C]0.500558[/C][/ROW]
[ROW][C]132[/C][C]0.510698[/C][C]0.978604[/C][C]0.489302[/C][/ROW]
[ROW][C]133[/C][C]0.501849[/C][C]0.996302[/C][C]0.498151[/C][/ROW]
[ROW][C]134[/C][C]0.508741[/C][C]0.982517[/C][C]0.491259[/C][/ROW]
[ROW][C]135[/C][C]0.482604[/C][C]0.965209[/C][C]0.517396[/C][/ROW]
[ROW][C]136[/C][C]0.46655[/C][C]0.9331[/C][C]0.53345[/C][/ROW]
[ROW][C]137[/C][C]0.491738[/C][C]0.983475[/C][C]0.508262[/C][/ROW]
[ROW][C]138[/C][C]0.562111[/C][C]0.875779[/C][C]0.437889[/C][/ROW]
[ROW][C]139[/C][C]0.630303[/C][C]0.739394[/C][C]0.369697[/C][/ROW]
[ROW][C]140[/C][C]0.628591[/C][C]0.742818[/C][C]0.371409[/C][/ROW]
[ROW][C]141[/C][C]0.61855[/C][C]0.7629[/C][C]0.38145[/C][/ROW]
[ROW][C]142[/C][C]0.652637[/C][C]0.694726[/C][C]0.347363[/C][/ROW]
[ROW][C]143[/C][C]0.67445[/C][C]0.651099[/C][C]0.32555[/C][/ROW]
[ROW][C]144[/C][C]0.698684[/C][C]0.602632[/C][C]0.301316[/C][/ROW]
[ROW][C]145[/C][C]0.714782[/C][C]0.570435[/C][C]0.285218[/C][/ROW]
[ROW][C]146[/C][C]0.746944[/C][C]0.506112[/C][C]0.253056[/C][/ROW]
[ROW][C]147[/C][C]0.730642[/C][C]0.538716[/C][C]0.269358[/C][/ROW]
[ROW][C]148[/C][C]0.712821[/C][C]0.574357[/C][C]0.287179[/C][/ROW]
[ROW][C]149[/C][C]0.708864[/C][C]0.582271[/C][C]0.291136[/C][/ROW]
[ROW][C]150[/C][C]0.729326[/C][C]0.541348[/C][C]0.270674[/C][/ROW]
[ROW][C]151[/C][C]0.727627[/C][C]0.544745[/C][C]0.272373[/C][/ROW]
[ROW][C]152[/C][C]0.714291[/C][C]0.571419[/C][C]0.285709[/C][/ROW]
[ROW][C]153[/C][C]0.757087[/C][C]0.485827[/C][C]0.242913[/C][/ROW]
[ROW][C]154[/C][C]0.783929[/C][C]0.432141[/C][C]0.216071[/C][/ROW]
[ROW][C]155[/C][C]0.759052[/C][C]0.481897[/C][C]0.240948[/C][/ROW]
[ROW][C]156[/C][C]0.735455[/C][C]0.52909[/C][C]0.264545[/C][/ROW]
[ROW][C]157[/C][C]0.770309[/C][C]0.459382[/C][C]0.229691[/C][/ROW]
[ROW][C]158[/C][C]0.760047[/C][C]0.479906[/C][C]0.239953[/C][/ROW]
[ROW][C]159[/C][C]0.744018[/C][C]0.511964[/C][C]0.255982[/C][/ROW]
[ROW][C]160[/C][C]0.737898[/C][C]0.524203[/C][C]0.262102[/C][/ROW]
[ROW][C]161[/C][C]0.771235[/C][C]0.457529[/C][C]0.228765[/C][/ROW]
[ROW][C]162[/C][C]0.760992[/C][C]0.478017[/C][C]0.239008[/C][/ROW]
[ROW][C]163[/C][C]0.759583[/C][C]0.480834[/C][C]0.240417[/C][/ROW]
[ROW][C]164[/C][C]0.741335[/C][C]0.51733[/C][C]0.258665[/C][/ROW]
[ROW][C]165[/C][C]0.795395[/C][C]0.40921[/C][C]0.204605[/C][/ROW]
[ROW][C]166[/C][C]0.785481[/C][C]0.429038[/C][C]0.214519[/C][/ROW]
[ROW][C]167[/C][C]0.822793[/C][C]0.354413[/C][C]0.177207[/C][/ROW]
[ROW][C]168[/C][C]0.798825[/C][C]0.402351[/C][C]0.201175[/C][/ROW]
[ROW][C]169[/C][C]0.776987[/C][C]0.446026[/C][C]0.223013[/C][/ROW]
[ROW][C]170[/C][C]0.768772[/C][C]0.462456[/C][C]0.231228[/C][/ROW]
[ROW][C]171[/C][C]0.758096[/C][C]0.483808[/C][C]0.241904[/C][/ROW]
[ROW][C]172[/C][C]0.792255[/C][C]0.415491[/C][C]0.207745[/C][/ROW]
[ROW][C]173[/C][C]0.766091[/C][C]0.467818[/C][C]0.233909[/C][/ROW]
[ROW][C]174[/C][C]0.743909[/C][C]0.512183[/C][C]0.256091[/C][/ROW]
[ROW][C]175[/C][C]0.720911[/C][C]0.558178[/C][C]0.279089[/C][/ROW]
[ROW][C]176[/C][C]0.742576[/C][C]0.514848[/C][C]0.257424[/C][/ROW]
[ROW][C]177[/C][C]0.712807[/C][C]0.574387[/C][C]0.287193[/C][/ROW]
[ROW][C]178[/C][C]0.817636[/C][C]0.364729[/C][C]0.182364[/C][/ROW]
[ROW][C]179[/C][C]0.80619[/C][C]0.387621[/C][C]0.19381[/C][/ROW]
[ROW][C]180[/C][C]0.863085[/C][C]0.273829[/C][C]0.136915[/C][/ROW]
[ROW][C]181[/C][C]0.841742[/C][C]0.316516[/C][C]0.158258[/C][/ROW]
[ROW][C]182[/C][C]0.820907[/C][C]0.358186[/C][C]0.179093[/C][/ROW]
[ROW][C]183[/C][C]0.842153[/C][C]0.315694[/C][C]0.157847[/C][/ROW]
[ROW][C]184[/C][C]0.835392[/C][C]0.329215[/C][C]0.164608[/C][/ROW]
[ROW][C]185[/C][C]0.811131[/C][C]0.377739[/C][C]0.188869[/C][/ROW]
[ROW][C]186[/C][C]0.80115[/C][C]0.3977[/C][C]0.19885[/C][/ROW]
[ROW][C]187[/C][C]0.812269[/C][C]0.375462[/C][C]0.187731[/C][/ROW]
[ROW][C]188[/C][C]0.785932[/C][C]0.428137[/C][C]0.214068[/C][/ROW]
[ROW][C]189[/C][C]0.764828[/C][C]0.470343[/C][C]0.235172[/C][/ROW]
[ROW][C]190[/C][C]0.735435[/C][C]0.529131[/C][C]0.264565[/C][/ROW]
[ROW][C]191[/C][C]0.738597[/C][C]0.522807[/C][C]0.261403[/C][/ROW]
[ROW][C]192[/C][C]0.723558[/C][C]0.552884[/C][C]0.276442[/C][/ROW]
[ROW][C]193[/C][C]0.764096[/C][C]0.471808[/C][C]0.235904[/C][/ROW]
[ROW][C]194[/C][C]0.814274[/C][C]0.371452[/C][C]0.185726[/C][/ROW]
[ROW][C]195[/C][C]0.79652[/C][C]0.406961[/C][C]0.20348[/C][/ROW]
[ROW][C]196[/C][C]0.769607[/C][C]0.460786[/C][C]0.230393[/C][/ROW]
[ROW][C]197[/C][C]0.749005[/C][C]0.50199[/C][C]0.250995[/C][/ROW]
[ROW][C]198[/C][C]0.728975[/C][C]0.54205[/C][C]0.271025[/C][/ROW]
[ROW][C]199[/C][C]0.705467[/C][C]0.589067[/C][C]0.294533[/C][/ROW]
[ROW][C]200[/C][C]0.701942[/C][C]0.596116[/C][C]0.298058[/C][/ROW]
[ROW][C]201[/C][C]0.776097[/C][C]0.447805[/C][C]0.223903[/C][/ROW]
[ROW][C]202[/C][C]0.746528[/C][C]0.506944[/C][C]0.253472[/C][/ROW]
[ROW][C]203[/C][C]0.715884[/C][C]0.568233[/C][C]0.284116[/C][/ROW]
[ROW][C]204[/C][C]0.686457[/C][C]0.627086[/C][C]0.313543[/C][/ROW]
[ROW][C]205[/C][C]0.668395[/C][C]0.66321[/C][C]0.331605[/C][/ROW]
[ROW][C]206[/C][C]0.632721[/C][C]0.734558[/C][C]0.367279[/C][/ROW]
[ROW][C]207[/C][C]0.633303[/C][C]0.733393[/C][C]0.366697[/C][/ROW]
[ROW][C]208[/C][C]0.605788[/C][C]0.788424[/C][C]0.394212[/C][/ROW]
[ROW][C]209[/C][C]0.687067[/C][C]0.625866[/C][C]0.312933[/C][/ROW]
[ROW][C]210[/C][C]0.667909[/C][C]0.664182[/C][C]0.332091[/C][/ROW]
[ROW][C]211[/C][C]0.644918[/C][C]0.710163[/C][C]0.355082[/C][/ROW]
[ROW][C]212[/C][C]0.615887[/C][C]0.768226[/C][C]0.384113[/C][/ROW]
[ROW][C]213[/C][C]0.576185[/C][C]0.847631[/C][C]0.423815[/C][/ROW]
[ROW][C]214[/C][C]0.535577[/C][C]0.928845[/C][C]0.464423[/C][/ROW]
[ROW][C]215[/C][C]0.531119[/C][C]0.937761[/C][C]0.468881[/C][/ROW]
[ROW][C]216[/C][C]0.49094[/C][C]0.981879[/C][C]0.50906[/C][/ROW]
[ROW][C]217[/C][C]0.4668[/C][C]0.9336[/C][C]0.5332[/C][/ROW]
[ROW][C]218[/C][C]0.492455[/C][C]0.98491[/C][C]0.507545[/C][/ROW]
[ROW][C]219[/C][C]0.457295[/C][C]0.91459[/C][C]0.542705[/C][/ROW]
[ROW][C]220[/C][C]0.429355[/C][C]0.858711[/C][C]0.570645[/C][/ROW]
[ROW][C]221[/C][C]0.483678[/C][C]0.967355[/C][C]0.516322[/C][/ROW]
[ROW][C]222[/C][C]0.641048[/C][C]0.717904[/C][C]0.358952[/C][/ROW]
[ROW][C]223[/C][C]0.598731[/C][C]0.802538[/C][C]0.401269[/C][/ROW]
[ROW][C]224[/C][C]0.563722[/C][C]0.872555[/C][C]0.436278[/C][/ROW]
[ROW][C]225[/C][C]0.55035[/C][C]0.8993[/C][C]0.44965[/C][/ROW]
[ROW][C]226[/C][C]0.51557[/C][C]0.968859[/C][C]0.48443[/C][/ROW]
[ROW][C]227[/C][C]0.487859[/C][C]0.975718[/C][C]0.512141[/C][/ROW]
[ROW][C]228[/C][C]0.447434[/C][C]0.894869[/C][C]0.552566[/C][/ROW]
[ROW][C]229[/C][C]0.511639[/C][C]0.976722[/C][C]0.488361[/C][/ROW]
[ROW][C]230[/C][C]0.563761[/C][C]0.872479[/C][C]0.436239[/C][/ROW]
[ROW][C]231[/C][C]0.692282[/C][C]0.615435[/C][C]0.307718[/C][/ROW]
[ROW][C]232[/C][C]0.77205[/C][C]0.4559[/C][C]0.22795[/C][/ROW]
[ROW][C]233[/C][C]0.733027[/C][C]0.533946[/C][C]0.266973[/C][/ROW]
[ROW][C]234[/C][C]0.695435[/C][C]0.609129[/C][C]0.304565[/C][/ROW]
[ROW][C]235[/C][C]0.668592[/C][C]0.662815[/C][C]0.331408[/C][/ROW]
[ROW][C]236[/C][C]0.921041[/C][C]0.157919[/C][C]0.0789594[/C][/ROW]
[ROW][C]237[/C][C]0.90203[/C][C]0.195939[/C][C]0.0979697[/C][/ROW]
[ROW][C]238[/C][C]0.877102[/C][C]0.245796[/C][C]0.122898[/C][/ROW]
[ROW][C]239[/C][C]0.848524[/C][C]0.302953[/C][C]0.151476[/C][/ROW]
[ROW][C]240[/C][C]0.813404[/C][C]0.373193[/C][C]0.186596[/C][/ROW]
[ROW][C]241[/C][C]0.775902[/C][C]0.448196[/C][C]0.224098[/C][/ROW]
[ROW][C]242[/C][C]0.735305[/C][C]0.52939[/C][C]0.264695[/C][/ROW]
[ROW][C]243[/C][C]0.687577[/C][C]0.624846[/C][C]0.312423[/C][/ROW]
[ROW][C]244[/C][C]0.814672[/C][C]0.370657[/C][C]0.185328[/C][/ROW]
[ROW][C]245[/C][C]0.798883[/C][C]0.402234[/C][C]0.201117[/C][/ROW]
[ROW][C]246[/C][C]0.758212[/C][C]0.483576[/C][C]0.241788[/C][/ROW]
[ROW][C]247[/C][C]0.762499[/C][C]0.475002[/C][C]0.237501[/C][/ROW]
[ROW][C]248[/C][C]0.727022[/C][C]0.545957[/C][C]0.272978[/C][/ROW]
[ROW][C]249[/C][C]0.756392[/C][C]0.487216[/C][C]0.243608[/C][/ROW]
[ROW][C]250[/C][C]0.708578[/C][C]0.582844[/C][C]0.291422[/C][/ROW]
[ROW][C]251[/C][C]0.653995[/C][C]0.69201[/C][C]0.346005[/C][/ROW]
[ROW][C]252[/C][C]0.617648[/C][C]0.764703[/C][C]0.382352[/C][/ROW]
[ROW][C]253[/C][C]0.550118[/C][C]0.899764[/C][C]0.449882[/C][/ROW]
[ROW][C]254[/C][C]0.513641[/C][C]0.972718[/C][C]0.486359[/C][/ROW]
[ROW][C]255[/C][C]0.45141[/C][C]0.902821[/C][C]0.54859[/C][/ROW]
[ROW][C]256[/C][C]0.39738[/C][C]0.79476[/C][C]0.60262[/C][/ROW]
[ROW][C]257[/C][C]0.713276[/C][C]0.573447[/C][C]0.286724[/C][/ROW]
[ROW][C]258[/C][C]0.723981[/C][C]0.552038[/C][C]0.276019[/C][/ROW]
[ROW][C]259[/C][C]0.665456[/C][C]0.669088[/C][C]0.334544[/C][/ROW]
[ROW][C]260[/C][C]0.844011[/C][C]0.311979[/C][C]0.155989[/C][/ROW]
[ROW][C]261[/C][C]0.850728[/C][C]0.298544[/C][C]0.149272[/C][/ROW]
[ROW][C]262[/C][C]0.912178[/C][C]0.175645[/C][C]0.0878223[/C][/ROW]
[ROW][C]263[/C][C]0.869456[/C][C]0.261089[/C][C]0.130544[/C][/ROW]
[ROW][C]264[/C][C]0.835889[/C][C]0.328223[/C][C]0.164111[/C][/ROW]
[ROW][C]265[/C][C]0.748761[/C][C]0.502479[/C][C]0.251239[/C][/ROW]
[ROW][C]266[/C][C]0.62993[/C][C]0.74014[/C][C]0.37007[/C][/ROW]
[ROW][C]267[/C][C]0.483573[/C][C]0.967145[/C][C]0.516427[/C][/ROW]
[ROW][C]268[/C][C]0.335723[/C][C]0.671446[/C][C]0.664277[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266259&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266259&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
100.4428410.8856820.557159
110.2786360.5572730.721364
120.5197620.9604770.480238
130.3918270.7836540.608173
140.2836310.5672620.716369
150.3454470.6908950.654553
160.2564160.5128320.743584
170.1840410.3680810.815959
180.1437850.2875690.856215
190.09923340.1984670.900767
200.06648090.1329620.933519
210.1170460.2340910.882954
220.1379550.2759110.862045
230.1044440.2088880.895556
240.0844950.168990.915505
250.05915990.118320.94084
260.06395510.127910.936045
270.1011970.2023950.898803
280.0792990.1585980.920701
290.09231950.1846390.907681
300.06806070.1361210.931939
310.05539450.1107890.944606
320.04056320.08112640.959437
330.04098360.08196710.959016
340.03492390.06984770.965076
350.02535940.05071890.974641
360.02099630.04199260.979004
370.01794630.03589260.982054
380.0158010.03160210.984199
390.01400380.02800750.985996
400.009669610.01933920.99033
410.02308040.04616070.97692
420.01678120.03356250.983219
430.01319240.02638480.986808
440.009992560.01998510.990007
450.007692170.01538430.992308
460.005419080.01083820.994581
470.003757990.007515980.996242
480.004869780.009739560.99513
490.004049020.008098040.995951
500.002923860.005847720.997076
510.002037920.004075840.997962
520.002732680.005465360.997267
530.001976190.003952370.998024
540.001495430.002990860.998505
550.001642180.003284360.998358
560.001369570.002739150.99863
570.003924470.007848930.996076
580.005271770.01054350.994728
590.004455350.008910690.995545
600.003505450.007010910.996495
610.003337550.00667510.996662
620.002503910.005007810.997496
630.00289150.0057830.997108
640.0048930.0097860.995107
650.004336930.008673850.995663
660.004144820.008289650.995855
670.003225690.006451380.996774
680.002599430.005198860.997401
690.004176420.008352830.995824
700.003418380.006836750.996582
710.002560630.005121260.997439
720.001918090.003836170.998082
730.001893980.003787960.998106
740.00208510.004170190.997915
750.001678530.003357070.998321
760.001249160.002498330.998751
770.0009252330.001850470.999075
780.0007622040.001524410.999238
790.0005706760.001141350.999429
800.0006429330.001285870.999357
810.0004741310.0009482620.999526
820.0004260320.0008520640.999574
830.0003187330.0006374670.999681
840.001664630.003329260.998335
850.001338070.002676150.998662
860.0009904040.001980810.99901
870.0007512670.001502530.999249
880.0005923090.001184620.999408
890.000695240.001390480.999305
900.0007501120.001500220.99925
910.0006346810.001269360.999365
920.001482250.00296450.998518
930.00115760.002315210.998842
940.001112970.002225940.998887
950.001288520.002577040.998711
960.001184010.002368020.998816
970.00191080.00382160.998089
980.001546920.003093850.998453
990.001453180.002906360.998547
1000.001930630.003861260.998069
1010.001666610.003333220.998333
1020.001576630.003153260.998423
1030.001841390.003682770.998159
1040.001614980.003229970.998385
1050.001654250.00330850.998346
1060.001791930.003583870.998208
1070.002142180.004284360.997858
1080.009110960.01822190.990889
1090.02011830.04023660.979882
1100.01836740.03673470.981633
1110.0163660.03273190.983634
1120.0153910.03078210.984609
1130.04835280.09670560.951647
1140.04787440.09574880.952126
1150.09791970.1958390.90208
1160.1375020.2750040.862498
1170.1741530.3483050.825847
1180.164040.328080.83596
1190.2058160.4116320.794184
1200.3087550.6175090.691245
1210.3348110.6696220.665189
1220.3214950.642990.678505
1230.4502840.9005670.549716
1240.4401710.8803420.559829
1250.4387090.8774170.561291
1260.4212210.8424430.578779
1270.4547650.909530.545235
1280.4393760.8787510.560624
1290.5480220.9039560.451978
1300.5238040.9523910.476196
1310.4994420.9988840.500558
1320.5106980.9786040.489302
1330.5018490.9963020.498151
1340.5087410.9825170.491259
1350.4826040.9652090.517396
1360.466550.93310.53345
1370.4917380.9834750.508262
1380.5621110.8757790.437889
1390.6303030.7393940.369697
1400.6285910.7428180.371409
1410.618550.76290.38145
1420.6526370.6947260.347363
1430.674450.6510990.32555
1440.6986840.6026320.301316
1450.7147820.5704350.285218
1460.7469440.5061120.253056
1470.7306420.5387160.269358
1480.7128210.5743570.287179
1490.7088640.5822710.291136
1500.7293260.5413480.270674
1510.7276270.5447450.272373
1520.7142910.5714190.285709
1530.7570870.4858270.242913
1540.7839290.4321410.216071
1550.7590520.4818970.240948
1560.7354550.529090.264545
1570.7703090.4593820.229691
1580.7600470.4799060.239953
1590.7440180.5119640.255982
1600.7378980.5242030.262102
1610.7712350.4575290.228765
1620.7609920.4780170.239008
1630.7595830.4808340.240417
1640.7413350.517330.258665
1650.7953950.409210.204605
1660.7854810.4290380.214519
1670.8227930.3544130.177207
1680.7988250.4023510.201175
1690.7769870.4460260.223013
1700.7687720.4624560.231228
1710.7580960.4838080.241904
1720.7922550.4154910.207745
1730.7660910.4678180.233909
1740.7439090.5121830.256091
1750.7209110.5581780.279089
1760.7425760.5148480.257424
1770.7128070.5743870.287193
1780.8176360.3647290.182364
1790.806190.3876210.19381
1800.8630850.2738290.136915
1810.8417420.3165160.158258
1820.8209070.3581860.179093
1830.8421530.3156940.157847
1840.8353920.3292150.164608
1850.8111310.3777390.188869
1860.801150.39770.19885
1870.8122690.3754620.187731
1880.7859320.4281370.214068
1890.7648280.4703430.235172
1900.7354350.5291310.264565
1910.7385970.5228070.261403
1920.7235580.5528840.276442
1930.7640960.4718080.235904
1940.8142740.3714520.185726
1950.796520.4069610.20348
1960.7696070.4607860.230393
1970.7490050.501990.250995
1980.7289750.542050.271025
1990.7054670.5890670.294533
2000.7019420.5961160.298058
2010.7760970.4478050.223903
2020.7465280.5069440.253472
2030.7158840.5682330.284116
2040.6864570.6270860.313543
2050.6683950.663210.331605
2060.6327210.7345580.367279
2070.6333030.7333930.366697
2080.6057880.7884240.394212
2090.6870670.6258660.312933
2100.6679090.6641820.332091
2110.6449180.7101630.355082
2120.6158870.7682260.384113
2130.5761850.8476310.423815
2140.5355770.9288450.464423
2150.5311190.9377610.468881
2160.490940.9818790.50906
2170.46680.93360.5332
2180.4924550.984910.507545
2190.4572950.914590.542705
2200.4293550.8587110.570645
2210.4836780.9673550.516322
2220.6410480.7179040.358952
2230.5987310.8025380.401269
2240.5637220.8725550.436278
2250.550350.89930.44965
2260.515570.9688590.48443
2270.4878590.9757180.512141
2280.4474340.8948690.552566
2290.5116390.9767220.488361
2300.5637610.8724790.436239
2310.6922820.6154350.307718
2320.772050.45590.22795
2330.7330270.5339460.266973
2340.6954350.6091290.304565
2350.6685920.6628150.331408
2360.9210410.1579190.0789594
2370.902030.1959390.0979697
2380.8771020.2457960.122898
2390.8485240.3029530.151476
2400.8134040.3731930.186596
2410.7759020.4481960.224098
2420.7353050.529390.264695
2430.6875770.6248460.312423
2440.8146720.3706570.185328
2450.7988830.4022340.201117
2460.7582120.4835760.241788
2470.7624990.4750020.237501
2480.7270220.5459570.272978
2490.7563920.4872160.243608
2500.7085780.5828440.291422
2510.6539950.692010.346005
2520.6176480.7647030.382352
2530.5501180.8997640.449882
2540.5136410.9727180.486359
2550.451410.9028210.54859
2560.397380.794760.60262
2570.7132760.5734470.286724
2580.7239810.5520380.276019
2590.6654560.6690880.334544
2600.8440110.3119790.155989
2610.8507280.2985440.149272
2620.9121780.1756450.0878223
2630.8694560.2610890.130544
2640.8358890.3282230.164111
2650.7487610.5024790.251239
2660.629930.740140.37007
2670.4835730.9671450.516427
2680.3357230.6714460.664277






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level600.23166NOK
5% type I error level770.297297NOK
10% type I error level830.320463NOK

\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 & 60 & 0.23166 & NOK \tabularnewline
5% type I error level & 77 & 0.297297 & NOK \tabularnewline
10% type I error level & 83 & 0.320463 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266259&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]60[/C][C]0.23166[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]77[/C][C]0.297297[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]83[/C][C]0.320463[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266259&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266259&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level600.23166NOK
5% type I error level770.297297NOK
10% type I error level830.320463NOK


Figures (Output of Computation)

Figure 1
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Figure 2
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Figure 5
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
par3 <- 'No Linear Trend'
par2 <- 'Do not include Seasonal Dummies'
par1 <- '1'
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')
}