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Author

*The author of this computation has been verified*

R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Wed, 10 Dec 2014 13:51:55 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/10/t1418220270j56remr5r84ksg0.htm/, Retrieved Wed, 29 May 2024 00:10:50 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265218, Retrieved Wed, 29 May 2024 00:10:50 +0000

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Estimated Impact

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

-       [Multiple Regression] [] [2014-12-10 13:51:55] [bfb0b3163eb17a9053d1f02c7e530193] [Current]

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Dataseries X:

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11 8 7 18 12 20 1.00 0.50 0.67 0.67 0.00 0.50 12.9 4
19 18 20 23 20 19 0.89 0.50 0.83 0.33 0.50 1.00 12.2 4
16 12 9 22 14 18 0.89 0.40 1.00 0.67 0.00 1.00 12.8 5
24 24 19 22 25 24 0.89 0.50 0.83 0.00 0.00 0.00 7.4 4
15 16 12 19 15 20 0.89 0.70 0.67 0.00 1.00 1.00 6.7 4
17 19 16 25 20 20 0.78 0.30 0.00 0.00 0.50 0.50 12.6 9
19 16 17 28 21 24 0.89 0.40 0.83 0.67 0.50 0.00 14.8 8
19 15 9 16 15 21 1.00 0.40 0.50 0.67 1.00 1.00 13.3 11
28 28 28 28 28 28 0.89 0.70 0.83 0.00 0.50 0.00 11.1 4
26 21 20 21 11 10 0.78 0.60 0.33 0.67 0.50 0.50 8.2 4
15 18 16 22 22 22 1.00 0.60 0.50 1.00 0.00 0.50 11.4 6
26 22 22 24 22 19 0.78 0.20 0.67 0.00 0.50 0.50 6.4 4
16 19 17 24 27 27 0.89 0.40 1.00 0.00 0.50 0.50 10.6 8
24 22 12 26 24 23 0.89 0.40 0.50 0.67 0.00 1.00 12.0 4
25 25 18 28 23 24 0.89 0.50 0.67 0.33 0.00 0.00 6.3 4
22 20 20 24 24 24 0.89 0.30 0.17 0.67 0.00 0.50 11.3 11
15 16 12 20 21 25 0.89 0.40 0.83 0.33 0.50 0.50 11.9 4
21 19 16 26 20 24 0.67 0.70 0.67 0.33 0.50 1.00 9.3 4
22 18 16 21 19 21 1.00 0.50 0.67 0.33 0.00 1.00 9.6 6
27 26 21 28 25 28 0.78 0.20 0.67 0.00 0.00 1.00 10.0 6
26 24 15 27 16 28 0.78 0.30 0.50 0.67 0.00 0.50 6.4 4
26 20 17 23 24 22 0.89 0.60 1.00 0.33 0.00 1.00 13.8 8
22 19 17 24 21 26 0.78 0.60 0.83 0.33 0.00 1.00 10.8 5
21 19 17 24 22 26 0.89 0.20 0.83 0.33 0.00 1.00 13.8 4
22 23 18 22 25 21 0.89 0.70 1.00 0.67 1.00 0.00 11.7 9
20 18 15 21 23 26 0.33 0.20 0.67 0.00 0.00 0.00 10.9 4
21 16 20 25 20 23 1.00 1.00 1.00 0.33 1.00 1.00 16.1 7
20 18 13 20 21 20 0.89 0.40 0.83 0.67 0.00 0.50 13.4 10
22 21 21 21 22 24 0.89 0.40 1.00 1.00 0.00 1.00 9.9 4
21 20 12 26 25 25 0.67 0.20 0.83 0.67 0.00 0.50 11.5 4
8 15 6 23 23 24 0.56 0.40 0.67 0.33 0.00 1.00 8.3 7
22 19 13 21 19 20 0.89 0.40 0.67 0.00 0.50 1.00 11.7 12
20 19 19 27 21 24 0.89 0.70 1.00 0.67 0.50 0.50 9.0 7
24 7 12 25 19 25 1.00 0.20 0.67 0.67 0.00 0.50 9.7 5
17 20 14 23 25 23 0.78 0.60 1.00 1.00 0.00 0.50 10.8 8
20 20 13 25 16 21 0.78 0.30 1.00 1.00 0.50 0.50 10.3 5
23 19 12 23 24 23 0.33 0.30 0.50 0.33 0.00 0.00 10.4 4
20 19 17 19 24 21 0.78 0.20 0.67 0.00 0.50 0.00 12.7 9
22 20 19 22 18 18 0.89 0.50 0.83 0.67 0.50 0.50 9.3 7
19 18 10 24 28 24 0.89 0.70 1.00 0.67 0.50 1.00 11.8 4
15 14 10 19 15 18 0.78 0.60 1.00 0.67 0.50 0.50 5.9 4
20 17 11 21 17 21 0.89 0.40 1.00 0.67 0.50 1.00 11.4 4
22 17 11 27 18 23 0.89 0.60 1.00 0.33 0.50 1.00 13.0 4
17 8 10 25 26 25 1.00 0.40 1.00 1.00 0.00 1.00 10.8 4
14 9 7 25 18 22 0.67 0.30 0.83 0.67 0.00 1.00 12.3 7
24 22 22 23 22 22 1.00 0.50 0.83 0.67 0.50 0.50 11.3 4
17 20 12 17 19 23 0.89 0.20 0.50 0.00 0.00 1.00 11.8 7
23 20 18 28 17 24 0.89 0.30 0.83 0.00 0.50 1.00 7.9 4
25 22 20 25 26 25 0.89 0.50 0.17 0.00 0.00 1.00 12.7 4
16 22 9 20 21 22 0.78 0.70 0.83 1.00 0.50 1.00 12.3 4
18 22 16 25 26 24 0.89 0.40 1.00 0.67 1.00 0.50 11.6 4
20 16 14 21 21 21 0.78 0.30 1.00 0.00 0.00 0.50 6.7 8
18 14 11 24 12 24 0.78 0.20 0.67 0.67 1.00 1.00 10.9 4
23 24 20 28 20 25 1.00 0.50 1.00 0.00 0.00 0.50 12.1 4
24 21 17 20 20 23 0.78 0.40 1.00 0.00 0.50 0.00 13.3 4
23 20 14 19 24 27 1.00 0.60 1.00 0.67 1.00 1.00 10.1 4
13 20 8 24 24 27 0.78 0.40 0.83 1.00 0.00 1.00 5.7 7
20 18 16 21 22 23 0.67 0.40 0.33 0.00 0.00 0.50 14.3 12
20 14 11 24 21 18 0.33 0.20 0.33 0.33 0.00 0.00 8.0 4
19 19 10 23 20 20 1.00 0.90 1.00 0.67 0.50 1.00 13.3 4
22 24 15 18 23 23 1.00 0.80 1.00 0.67 1.00 0.50 9.3 4
22 19 15 27 19 24 0.78 0.80 0.83 0.00 0.50 1.00 12.5 5
15 16 10 25 24 26 0.67 0.30 1.00 1.00 0.50 1.00 7.6 15
17 16 10 20 21 20 1.00 0.20 0.83 0.67 0.00 0.50 15.9 5
19 16 18 21 16 23 0.89 0.40 0.67 0.00 0.50 1.00 9.2 10
20 14 10 23 17 22 0.89 0.20 0.83 1.00 0.00 1.00 9.1 9
22 22 22 27 23 23 0.78 0.20 0.67 0.67 0.50 1.00 11.1 8
21 21 16 24 20 17 1.00 0.10 0.83 0.67 0.00 1.00 13.0 4
21 15 10 27 19 20 0.56 0.40 0.67 1.00 0.50 0.00 14.5 5
16 14 7 24 18 22 0.67 0.50 1.00 0.00 0.50 0.50 12.2 4
20 15 16 23 18 18 0.89 0.80 0.83 0.33 0.50 1.00 12.3 9
21 14 16 24 21 19 0.89 0.40 0.67 0.67 0.00 0.50 11.4 4
20 20 16 21 20 19 0.89 0.60 0.83 0.33 0.50 0.50 8.8 10
23 21 22 23 17 16 0.89 0.50 0.83 0.67 0.50 1.00 14.6 4
18 14 5 27 25 26 0.78 0.30 0.67 0.00 0.00 0.00 12.6 4
22 19 18 24 15 14 0.89 0.80 1.00 1.00 0.50 1.00 NA 6
16 16 10 25 17 25 1.00 0.40 0.33 0.00 0.50 0.00 13.0 7
17 13 8 19 17 23 1.00 0.60 0.83 0.67 0.50 0.50 12.6 5
24 26 16 24 24 18 0.89 0.40 1.00 0.33 0.00 0.50 13.2 4
13 13 8 25 21 22 0.44 0.30 0.83 0.00 0.00 0.00 9.9 4
19 18 16 23 22 26 0.78 0.80 0.83 0.00 1.00 1.00 7.7 4
20 15 14 23 18 25 0.89 0.60 0.50 0.33 1.00 1.00 10.5 4
22 18 15 25 22 26 0.67 0.30 0.50 0.00 0.00 0.00 13.4 4
19 21 9 26 20 26 0.78 0.50 0.83 0.67 0.50 1.00 10.9 4
21 17 21 26 21 24 0.78 0.40 1.00 0.33 0.00 1.00 4.3 6
15 18 7 16 21 22 0.33 0.30 0.33 0.67 0.00 0.00 10.3 10
21 20 17 23 20 21 0.89 0.70 1.00 0.33 0.00 0.50 11.8 7
24 18 18 26 18 22 0.89 0.20 0.67 0.33 0.50 0.50 11.2 4
22 25 16 25 25 28 0.89 0.40 0.83 1.00 0.00 1.00 11.4 4
20 20 16 23 23 22 0.89 0.60 1.00 0.67 0.50 0.50 8.6 7
21 19 14 26 21 26 0.56 0.60 0.83 0.00 0.00 1.00 13.2 4
19 18 15 22 20 20 0.67 0.60 0.83 0.67 0.50 0.50 12.6 8
14 12 8 20 21 24 0.67 0.40 1.00 0.33 0.50 1.00 5.6 11
25 22 22 27 20 21 0.78 0.60 0.83 0.00 0.00 1.00 9.9 6
11 16 5 20 22 23 0.78 0.50 1.00 0.33 0.50 1.00 8.8 14
17 18 13 22 15 23 0.78 0.50 0.83 0.00 0.00 1.00 7.7 5
22 23 22 24 24 23 0.89 0.60 0.67 0.00 0.00 1.00 9.0 4
20 20 18 21 22 22 1.00 0.80 0.83 0.33 0.50 1.00 7.3 8
22 20 15 24 21 23 0.89 0.50 0.83 0.67 1.00 0.50 11.4 9
15 16 11 26 17 21 0.89 0.60 0.83 0.67 0.50 1.00 13.6 4
23 22 19 24 23 27 0.78 0.40 0.83 0.67 0.50 1.00 7.9 4
20 19 19 24 22 23 1.00 0.30 0.67 0.67 0.50 1.00 10.7 5
22 23 21 27 23 26 0.78 0.30 0.83 1.00 0.00 0.50 10.3 4
16 6 4 25 16 27 0.67 0.20 0.00 0.00 0.00 0.00 8.3 5
25 19 17 27 18 27 0.78 0.40 0.83 0.00 0.00 0.50 9.6 4
18 24 10 19 25 23 0.89 0.50 1.00 0.00 0.00 0.50 14.2 4
19 19 13 22 18 23 0.67 0.30 0.17 0.00 0.50 0.00 8.5 7
25 15 15 22 14 23 0.22 0.40 0.17 0.00 0.50 0.00 13.5 10
21 18 11 25 20 28 0.44 0.50 0.50 1.00 0.00 0.00 4.9 4
22 18 20 23 19 24 0.89 0.30 0.50 0.67 0.00 1.00 6.4 5
21 22 13 24 18 20 0.67 0.50 1.00 0.00 0.00 0.50 9.6 4
22 23 18 24 22 23 0.89 0.40 0.67 0.67 0.00 0.50 11.6 4
23 18 20 23 21 22 0.67 0.40 0.83 0.67 0.00 1.00 11.1 4
20 17 15 22 14 15 0.78 0.60 1.00 0.00 1.00 1.00 4.35 6
6 6 4 24 5 27 0.78 0.30 1.00 0.67 1.00 1.00 12.7 4
15 22 9 19 25 23 0.78 0.40 1.00 0.33 1.00 0.50 18.1 8
18 20 18 25 21 23 1.00 0.30 1.00 1.00 1.00 1.00 17.85 5
24 16 12 26 11 20 0.78 1.00 1.00 1.00 1.00 1.00 16.6 4
22 16 17 18 20 18 0.67 0.40 1.00 0.00 0.00 0.50 12.6 17
21 17 12 24 9 22 0.89 0.80 0.83 1.00 0.50 1.00 17.1 4
23 20 16 28 15 20 0.89 0.30 1.00 0.67 1.00 1.00 19.1 4
20 23 17 23 23 21 1.00 0.50 0.83 0.67 0.00 1.00 16.1 8
20 18 14 19 21 25 0.78 0.40 1.00 0.00 0.00 0.50 13.35 4
18 13 13 19 9 19 0.67 0.30 0.83 0.67 0.00 1.00 18.4 7
25 22 20 27 24 25 0.89 0.50 0.83 1.00 0.00 1.00 14.7 4
16 20 16 24 16 24 0.67 0.30 1.00 0.67 0.00 1.00 10.6 4
20 20 15 26 20 22 0.67 0.30 0.67 0.00 0.00 1.00 12.6 5
14 13 10 21 15 28 1.00 0.40 0.83 0.00 0.00 1.00 16.2 7
22 16 16 25 18 22 0.67 0.30 1.00 0.00 0.00 0.50 13.6 4
26 25 21 28 22 21 1.00 0.60 1.00 0.33 0.50 0.50 18.9 4
20 16 15 19 21 23 0.89 0.60 0.83 0.67 1.00 1.00 14.1 7
17 15 16 20 21 19 0.89 0.40 1.00 1.00 1.00 1.00 14.5 11
22 19 19 26 21 21 1.00 0.40 1.00 0.00 0.00 0.00 16.15 7
22 19 9 27 20 25 0.67 0.40 1.00 0.67 0.00 0.50 14.75 4
20 24 19 23 24 23 0.44 0.30 0.67 0.67 0.50 1.00 14.8 4
17 9 7 18 15 28 0.89 0.20 1.00 0.33 1.00 0.00 12.45 4
22 22 23 23 24 14 0.56 0.50 0.83 0.67 0.00 1.00 12.65 4
17 15 14 21 18 23 0.78 0.40 1.00 0.67 1.00 1.00 17.35 4
22 22 10 23 24 24 1.00 0.40 1.00 0.67 0.00 0.00 8.6 4
21 22 16 22 24 25 1.00 0.40 0.83 0.67 0.00 1.00 18.4 6
25 24 12 21 15 15 0.89 0.30 0.67 0.67 0.50 0.50 16.1 8
11 12 10 14 19 23 0.67 0.40 0.83 0.67 1.00 0.50 11.6 23
19 21 7 24 20 26 0.89 0.20 1.00 0.33 0.50 1.00 17.75 4
24 25 20 26 26 21 0.33 0.00 0.00 0.00 0.00 0.00 15.25 8
17 26 9 24 26 26 0.89 0.40 1.00 0.67 0.50 1.00 17.65 6
22 21 12 22 23 23 0.78 0.60 1.00 0.00 1.00 1.00 16.35 4
17 14 10 20 13 15 1.00 0.40 0.67 0.67 0.00 0.50 17.65 7
26 28 19 20 16 16 0.44 0.40 1.00 0.00 0.00 0.50 13.6 4
20 21 11 18 22 20 0.67 0.40 0.83 0.00 0.50 0.00 14.35 4
19 16 15 18 21 20 0.33 0.20 0.17 0.00 0.50 0.00 14.75 4
21 16 14 25 11 21 0.89 0.40 0.83 1.00 1.00 1.00 18.25 10
24 25 11 28 23 28 0.89 0.30 0.83 0.00 0.00 0.50 9.9 6
21 21 14 23 18 19 1.00 0.60 0.83 0.67 1.00 0.00 16 5
19 22 15 20 19 21 0.89 0.60 0.83 1.00 0.00 1.00 18.25 5
13 9 7 22 15 22 0.89 0.40 0.83 0.00 0.00 1.00 16.85 4
24 20 22 27 8 27 1.00 0.50 1.00 0.67 1.00 0.50 14.6 4
28 19 19 24 15 20 0.89 0.40 0.83 0.00 0.50 1.00 13.85 5
27 24 22 23 21 17 1.00 0.60 1.00 1.00 1.00 1.00 18.95 5
22 22 11 20 25 26 0.78 0.60 0.83 0.67 0.50 1.00 15.6 5
23 22 19 22 14 21 0.78 0.90 1.00 0.67 0.50 1.00 14.85 5
19 12 9 21 21 24 0.67 0.40 0.83 0.67 0.50 0.00 11.75 4
18 17 11 24 18 21 0.89 0.80 1.00 1.00 0.50 1.00 18.45 6
23 18 17 26 18 25 0.67 0.50 0.83 1.00 0.00 1.00 15.9 4
21 10 12 24 12 22 0.78 0.40 0.83 1.00 0.00 0.00 17.1 4
22 22 17 18 24 17 0.89 0.40 1.00 0.67 1.00 0.50 16.1 4
17 24 10 17 17 14 0.89 0.70 1.00 1.00 1.00 0.50 19.9 9
15 18 17 23 20 23 0.78 0.40 1.00 0.33 1.00 1.00 10.95 18
21 18 13 21 24 28 1.00 0.80 1.00 0.67 0.50 1.00 18.45 6
20 23 11 21 22 24 1.00 0.40 1.00 1.00 1.00 0.50 15.1 5
26 21 19 24 15 22 1.00 0.30 1.00 0.67 0.00 0.50 15 4
19 21 21 22 22 24 0.67 0.50 1.00 0.67 0.50 1.00 11.35 11
28 28 24 24 26 25 0.89 0.80 1.00 0.67 1.00 1.00 15.95 4
21 17 13 24 17 21 1.00 0.40 0.83 0.33 0.00 0.50 18.1 10
19 21 16 24 23 22 1.00 1.00 1.00 1.00 0.50 0.00 14.6 6
22 21 13 23 19 16 0.89 0.50 1.00 0.67 1.00 1.00 15.4 8
21 20 15 21 21 18 0.89 0.50 1.00 0.67 1.00 1.00 15.4 8
20 18 15 24 23 27 0.89 0.30 1.00 0.33 0.00 1.00 17.6 6
19 17 11 19 19 17 0.89 0.30 0.83 0.33 0.50 1.00 13.35 8
11 7 7 19 18 25 0.89 0.30 0.50 0.00 0.00 1.00 19.1 4
17 17 13 23 16 24 1.00 0.40 0.67 0.33 0.50 0.50 15.35 4
19 14 13 25 23 21 0.67 0.50 1.00 0.33 0.00 1.00 7.6 9
20 18 12 24 13 21 1.00 0.50 0.67 0.67 0.50 1.00 13.4 9
17 14 8 21 18 19 0.89 0.40 1.00 0.00 0.00 0.00 13.9 5
21 23 7 18 23 27 0.89 0.70 1.00 1.00 0.50 0.00 19.1 4
21 20 17 23 21 28 0.89 0.50 0.50 0.33 0.00 0.50 15.25 4
12 14 9 20 23 19 0.89 0.40 0.67 0.33 1.00 0.00 12.9 15
23 17 18 23 16 23 1.00 0.70 0.67 1.00 0.00 1.00 16.1 10
22 21 17 23 17 25 1.00 0.70 0.67 1.00 0.00 1.00 17.35 9
22 23 17 23 20 26 1.00 0.70 0.67 1.00 0.00 1.00 13.15 7
21 24 18 23 18 25 0.89 0.70 0.67 1.00 0.00 1.00 12.15 9
20 21 12 27 20 25 0.89 0.70 0.67 0.00 0.00 0.00 12.6 6
18 14 14 19 19 24 0.89 0.70 1.00 0.67 0.50 1.00 10.35 4
21 24 22 25 26 24 0.33 0.10 0.67 0.33 0.50 0.00 15.4 7
24 16 19 25 9 24 0.67 0.20 0.67 0.67 0.50 1.00 9.6 4
22 21 21 21 23 22 0.56 0.30 0.33 0.33 0.00 1.00 18.2 7
20 8 10 25 9 21 0.44 0.60 0.83 0.33 0.00 0.50 13.6 4
17 17 16 17 13 17 1.00 0.80 1.00 1.00 1.00 1.00 14.85 15
19 18 11 22 27 23 0.89 0.80 1.00 0.33 0.50 0.50 14.75 4
16 17 15 23 22 17 0.33 0.00 0.17 0.00 0.00 0.00 14.1 9
19 16 12 27 12 25 0.67 0.30 0.67 0.33 0.00 1.00 14.9 4
23 22 21 27 18 19 0.67 0.60 0.83 0.33 0.50 1.00 16.25 4
8 17 22 5 6 8 1.00 0.50 0.83 0.67 0.00 1.00 19.25 28
22 21 20 19 17 14 0.78 0.70 1.00 0.33 0.00 0.50 13.6 4
23 20 15 24 22 22 0.67 0.30 0.83 0.00 0.50 1.00 13.6 4
15 20 9 23 22 25 1.00 0.30 1.00 0.67 0.00 0.00 15.65 4
17 19 15 28 23 28 0.78 0.40 1.00 0.67 0.00 0.50 12.75 5
21 8 14 25 19 25 0.89 0.40 0.83 1.00 0.00 1.00 14.6 4
25 19 11 27 20 24 0.89 0.10 0.83 0.00 0.00 1.00 9.85 4
18 11 9 16 17 15 0.89 0.50 1.00 0.67 0.00 1.00 12.65 12
20 13 12 25 24 24 0.00 0.00 0.00 0.00 0.00 0.00 19.2 4
21 18 11 26 20 28 0.67 0.40 1.00 0.33 0.50 0.00 16.6 6
21 19 14 24 18 24 1.00 0.60 0.83 0.67 1.00 0.50 11.2 6
24 23 10 23 23 25 1.00 0.40 1.00 0.33 0.50 1.00 15.25 5
22 20 18 24 27 23 0.67 0.10 0.33 0.00 0.50 1.00 11.9 4
22 22 11 27 25 26 0.89 0.30 0.83 0.00 0.00 1.00 13.2 4
23 19 14 25 24 26 0.89 0.70 0.83 0.67 0.00 1.00 16.35 4
17 16 16 19 12 22 0.56 0.30 0.17 0.00 0.00 1.00 12.4 10
15 11 11 19 16 25 0.67 0.50 0.83 0.33 0.50 0.00 15.85 7
22 21 16 24 24 22 1.00 0.30 0.83 0.67 1.00 1.00 18.15 4
19 14 13 20 23 26 1.00 0.60 0.67 0.67 0.50 1.00 11.15 7
18 21 12 21 24 20 1.00 0.90 1.00 1.00 0.00 1.00 15.65 4
21 20 17 28 24 26 0.67 0.40 0.83 0.00 0.50 1.00 17.75 4
20 21 23 26 26 26 0.44 0.30 1.00 0.00 0.50 0.50 7.65 12
19 20 14 19 19 21 0.89 0.90 1.00 0.67 1.00 1.00 12.35 5
19 19 10 23 28 21 0.44 0.50 1.00 0.00 0.50 0.00 15.6 8
16 19 16 23 23 24 0.56 0.30 1.00 1.00 0.50 0.50 19.3 6
18 18 11 21 21 21 0.89 0.60 0.83 0.67 0.00 0.50 15.2 17
23 20 16 26 19 18 0.67 0.20 1.00 0.33 0.00 0.50 17.1 4
22 21 19 25 23 23 0.89 0.40 0.83 1.00 0.50 1.00 15.6 5
23 22 17 25 23 26 1.00 0.50 0.83 0.67 0.50 0.50 18.4 4
20 19 12 24 20 23 0.78 0.40 0.83 0.67 0.00 0.50 19.05 5
24 23 17 23 18 25 0.44 0.00 0.00 0.00 0.00 0.00 18.55 5
25 16 11 22 20 20 0.89 0.20 1.00 0.33 0.50 1.00 19.1 6
25 23 19 27 28 25 0.89 0.50 1.00 0.67 0.50 1.00 13.1 4
20 18 12 26 21 26 0.89 0.30 1.00 0.67 0.00 0.50 12.85 4
23 23 8 23 25 19 0.44 0.00 0.00 0.00 0.00 0.00 9.5 4
21 20 17 22 18 21 1.00 0.50 0.83 1.00 0.00 1.00 4.5 6
23 20 13 26 24 23 0.89 0.60 0.83 0.33 0.00 1.00 11.85 8
23 23 17 22 28 24 0.67 0.30 0.83 0.00 0.50 0.50 13.6 10
11 13 7 17 9 6 0.33 0.00 0.00 0.00 0.00 0.00 11.7 4
21 21 23 25 22 22 0.78 0.30 0.67 0.00 0.50 0.00 12.4 5
27 26 18 22 26 21 0.89 0.50 1.00 0.67 0.50 1.00 13.35 4
19 18 13 28 28 28 0.78 0.40 0.67 0.00 0.00 1.00 11.4 4
21 19 17 22 18 24 0.78 0.50 0.83 0.67 0.00 0.50 14.9 4
16 18 13 21 23 14 0.89 0.70 1.00 1.00 1.00 0.50 19.9 16
21 18 8 24 15 20 0.78 0.80 1.00 0.67 0.50 1.00 11.2 7
22 19 16 26 24 28 0.78 0.60 1.00 0.33 0.50 1.00 14.6 4
16 13 14 26 12 19 0.67 0.40 0.83 0.33 0.00 0.50 17.6 4
18 10 13 24 12 24 0.89 0.50 0.83 0.33 0.50 0.00 14.05 14
23 21 19 27 20 21 0.89 0.50 1.00 0.00 0.50 1.00 16.1 5
24 24 15 22 25 21 0.78 0.30 1.00 0.33 0.00 1.00 13.35 5
20 21 15 23 24 26 1.00 0.60 1.00 0.00 0.50 1.00 11.85 5
20 23 8 22 23 24 1.00 0.30 0.67 0.67 0.00 0.50 11.95 5
18 18 14 23 18 26 0.78 0.60 0.83 1.00 0.50 0.50 14.75 7
4 11 7 15 20 25 0.78 0.30 0.33 0.33 0.00 1.00 15.15 19
14 16 11 20 22 23 0.89 0.70 1.00 0.67 1.00 1.00 13.2 16
22 20 17 22 20 24 0.89 0.70 1.00 1.00 0.00 1.00 16.85 4
17 20 19 25 25 24 0.67 0.60 0.67 1.00 0.50 1.00 7.85 4
23 26 17 27 28 26 1.00 0.50 1.00 0.33 0.50 0.00 7.7 7
20 21 12 24 25 23 0.67 0.50 0.83 0.33 0.00 0.50 12.6 9
18 12 12 21 14 20 0.56 0.40 0.67 0.00 0.00 1.00 7.85 5
19 15 18 17 16 16 0.78 0.40 1.00 0.33 1.00 1.00 10.95 14
20 18 16 26 24 24 1.00 0.70 1.00 1.00 0.00 1.00 12.35 4
15 14 15 20 13 20 0.67 0.20 0.17 0.00 0.50 0.00 9.95 16
24 18 20 22 19 23 0.78 0.50 0.83 0.67 0.00 0.50 14.9 10
21 16 16 24 18 23 0.56 0.40 0.83 0.67 0.50 0.00 16.65 5
19 19 12 23 16 18 1.00 0.20 1.00 0.67 1.00 1.00 13.4 6
19 7 10 22 8 21 0.89 0.50 0.67 0.67 0.00 0.00 13.95 4
27 21 28 28 27 25 0.44 0.40 0.50 0.00 0.00 1.00 15.7 4
23 24 19 21 23 23 1.00 0.70 0.67 1.00 1.00 1.00 16.85 4
23 21 18 24 20 26 0.89 0.60 0.83 0.67 1.00 0.00 10.95 5
20 20 19 28 20 26 0.78 0.40 0.83 0.00 0.00 0.00 15.35 4
17 22 8 25 26 24 0.89 0.50 1.00 0.67 1.00 1.00 12.2 4
21 17 17 24 23 23 0.11 0.00 0.17 0.00 0.00 0.00 15.1 5
23 19 16 24 24 21 0.89 0.70 1.00 0.67 0.50 1.00 17.75 4
22 20 18 21 21 23 0.89 0.40 0.67 0.67 0.00 1.00 15.2 4
16 16 12 20 15 20 1.00 0.50 0.67 1.00 0.00 1.00 14.6 5
20 20 17 26 22 23 0.89 0.60 0.83 0.67 0.00 0.50 16.65 8

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	20 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\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 & 20 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
R Framework error message & Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265218&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]20 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265218&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265218&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	20 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

Multiple Linear Regression - Estimated Regression Equation
Estimation[t] = + 0.1123 -0.0105476AMS.I1[t] -0.00247866AMS.I2[t] + 0.0160939AMS.I3[t] + 0.000781738AMS.E1[t] -0.00476756AMS.E2[t] + 0.00194992AMS.E3[t] + 0.465729Calculation[t] + 0.138215Algebraic_Reasoning[t] + 0.229122Graphical_Interpretation[t] + 0.113385Proportionality_and_Ratio[t] -0.0174674Probability_and_Sampling[t] -0.00333331TOT[t] -0.00214074AMS.A[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Estimation[t] =  +  0.1123 -0.0105476AMS.I1[t] -0.00247866AMS.I2[t] +  0.0160939AMS.I3[t] +  0.000781738AMS.E1[t] -0.00476756AMS.E2[t] +  0.00194992AMS.E3[t] +  0.465729Calculation[t] +  0.138215Algebraic_Reasoning[t] +  0.229122Graphical_Interpretation[t] +  0.113385Proportionality_and_Ratio[t] -0.0174674Probability_and_Sampling[t] -0.00333331TOT[t] -0.00214074AMS.A[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265218&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Estimation[t] =  +  0.1123 -0.0105476AMS.I1[t] -0.00247866AMS.I2[t] +  0.0160939AMS.I3[t] +  0.000781738AMS.E1[t] -0.00476756AMS.E2[t] +  0.00194992AMS.E3[t] +  0.465729Calculation[t] +  0.138215Algebraic_Reasoning[t] +  0.229122Graphical_Interpretation[t] +  0.113385Proportionality_and_Ratio[t] -0.0174674Probability_and_Sampling[t] -0.00333331TOT[t] -0.00214074AMS.A[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265218&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265218&T=1

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Estimated Regression Equation
Estimation[t] = + 0.1123 -0.0105476AMS.I1[t] -0.00247866AMS.I2[t] + 0.0160939AMS.I3[t] + 0.000781738AMS.E1[t] -0.00476756AMS.E2[t] + 0.00194992AMS.E3[t] + 0.465729Calculation[t] + 0.138215Algebraic_Reasoning[t] + 0.229122Graphical_Interpretation[t] + 0.113385Proportionality_and_Ratio[t] -0.0174674Probability_and_Sampling[t] -0.00333331TOT[t] -0.00214074AMS.A[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	0.1123	0.28482	0.3943	0.69369	0.346845
AMS.I1	-0.0105476	0.00905993	-1.164	0.245397	0.122698
AMS.I2	-0.00247866	0.00787193	-0.3149	0.753107	0.376554
AMS.I3	0.0160939	0.00672673	2.393	0.0174347	0.00871736
AMS.E1	0.000781738	0.00942865	0.08291	0.933985	0.466993
AMS.E2	-0.00476756	0.00644915	-0.7393	0.460412	0.230206
AMS.E3	0.00194992	0.00772723	0.2523	0.800972	0.400486
Calculation	0.465729	0.146746	3.174	0.00168393	0.000841967
Algebraic_Reasoning	0.138215	0.136909	1.01	0.313645	0.156823
Graphical_Interpretation	0.229122	0.110884	2.066	0.0397767	0.0198883
Proportionality_and_Ratio	0.113385	0.0692764	1.637	0.102889	0.0514447
Probability_and_Sampling	-0.0174674	0.0638364	-0.2736	0.784585	0.392293
TOT	-0.00333331	0.00663675	-0.5023	0.615912	0.307956
AMS.A	-0.00214074	0.00766999	-0.2791	0.780383	0.390191

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 0.1123 & 0.28482 & 0.3943 & 0.69369 & 0.346845 \tabularnewline
AMS.I1 & -0.0105476 & 0.00905993 & -1.164 & 0.245397 & 0.122698 \tabularnewline
AMS.I2 & -0.00247866 & 0.00787193 & -0.3149 & 0.753107 & 0.376554 \tabularnewline
AMS.I3 & 0.0160939 & 0.00672673 & 2.393 & 0.0174347 & 0.00871736 \tabularnewline
AMS.E1 & 0.000781738 & 0.00942865 & 0.08291 & 0.933985 & 0.466993 \tabularnewline
AMS.E2 & -0.00476756 & 0.00644915 & -0.7393 & 0.460412 & 0.230206 \tabularnewline
AMS.E3 & 0.00194992 & 0.00772723 & 0.2523 & 0.800972 & 0.400486 \tabularnewline
Calculation & 0.465729 & 0.146746 & 3.174 & 0.00168393 & 0.000841967 \tabularnewline
Algebraic_Reasoning & 0.138215 & 0.136909 & 1.01 & 0.313645 & 0.156823 \tabularnewline
Graphical_Interpretation & 0.229122 & 0.110884 & 2.066 & 0.0397767 & 0.0198883 \tabularnewline
Proportionality_and_Ratio & 0.113385 & 0.0692764 & 1.637 & 0.102889 & 0.0514447 \tabularnewline
Probability_and_Sampling & -0.0174674 & 0.0638364 & -0.2736 & 0.784585 & 0.392293 \tabularnewline
TOT & -0.00333331 & 0.00663675 & -0.5023 & 0.615912 & 0.307956 \tabularnewline
AMS.A & -0.00214074 & 0.00766999 & -0.2791 & 0.780383 & 0.390191 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265218&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]0.1123[/C][C]0.28482[/C][C]0.3943[/C][C]0.69369[/C][C]0.346845[/C][/ROW]
[ROW][C]AMS.I1[/C][C]-0.0105476[/C][C]0.00905993[/C][C]-1.164[/C][C]0.245397[/C][C]0.122698[/C][/ROW]
[ROW][C]AMS.I2[/C][C]-0.00247866[/C][C]0.00787193[/C][C]-0.3149[/C][C]0.753107[/C][C]0.376554[/C][/ROW]
[ROW][C]AMS.I3[/C][C]0.0160939[/C][C]0.00672673[/C][C]2.393[/C][C]0.0174347[/C][C]0.00871736[/C][/ROW]
[ROW][C]AMS.E1[/C][C]0.000781738[/C][C]0.00942865[/C][C]0.08291[/C][C]0.933985[/C][C]0.466993[/C][/ROW]
[ROW][C]AMS.E2[/C][C]-0.00476756[/C][C]0.00644915[/C][C]-0.7393[/C][C]0.460412[/C][C]0.230206[/C][/ROW]
[ROW][C]AMS.E3[/C][C]0.00194992[/C][C]0.00772723[/C][C]0.2523[/C][C]0.800972[/C][C]0.400486[/C][/ROW]
[ROW][C]Calculation[/C][C]0.465729[/C][C]0.146746[/C][C]3.174[/C][C]0.00168393[/C][C]0.000841967[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]0.138215[/C][C]0.136909[/C][C]1.01[/C][C]0.313645[/C][C]0.156823[/C][/ROW]
[ROW][C]Graphical_Interpretation[/C][C]0.229122[/C][C]0.110884[/C][C]2.066[/C][C]0.0397767[/C][C]0.0198883[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[/C][C]0.113385[/C][C]0.0692764[/C][C]1.637[/C][C]0.102889[/C][C]0.0514447[/C][/ROW]
[ROW][C]Probability_and_Sampling[/C][C]-0.0174674[/C][C]0.0638364[/C][C]-0.2736[/C][C]0.784585[/C][C]0.392293[/C][/ROW]
[ROW][C]TOT[/C][C]-0.00333331[/C][C]0.00663675[/C][C]-0.5023[/C][C]0.615912[/C][C]0.307956[/C][/ROW]
[ROW][C]AMS.A[/C][C]-0.00214074[/C][C]0.00766999[/C][C]-0.2791[/C][C]0.780383[/C][C]0.390191[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265218&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265218&T=2

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	0.1123	0.28482	0.3943	0.69369	0.346845
AMS.I1	-0.0105476	0.00905993	-1.164	0.245397	0.122698
AMS.I2	-0.00247866	0.00787193	-0.3149	0.753107	0.376554
AMS.I3	0.0160939	0.00672673	2.393	0.0174347	0.00871736
AMS.E1	0.000781738	0.00942865	0.08291	0.933985	0.466993
AMS.E2	-0.00476756	0.00644915	-0.7393	0.460412	0.230206
AMS.E3	0.00194992	0.00772723	0.2523	0.800972	0.400486
Calculation	0.465729	0.146746	3.174	0.00168393	0.000841967
Algebraic_Reasoning	0.138215	0.136909	1.01	0.313645	0.156823
Graphical_Interpretation	0.229122	0.110884	2.066	0.0397767	0.0198883
Proportionality_and_Ratio	0.113385	0.0692764	1.637	0.102889	0.0514447
Probability_and_Sampling	-0.0174674	0.0638364	-0.2736	0.784585	0.392293
TOT	-0.00333331	0.00663675	-0.5023	0.615912	0.307956
AMS.A	-0.00214074	0.00766999	-0.2791	0.780383	0.390191

Multiple Linear Regression - Regression Statistics
Multiple R	0.414883
R-squared	0.172128
Adjusted R-squared	0.131206
F-TEST (value)	4.20629
F-TEST (DF numerator)	13
F-TEST (DF denominator)	263
p-value	2.26239e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.363002
Sum Squared Residuals	34.6556

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.414883 \tabularnewline
R-squared & 0.172128 \tabularnewline
Adjusted R-squared & 0.131206 \tabularnewline
F-TEST (value) & 4.20629 \tabularnewline
F-TEST (DF numerator) & 13 \tabularnewline
F-TEST (DF denominator) & 263 \tabularnewline
p-value & 2.26239e-06 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.363002 \tabularnewline
Sum Squared Residuals & 34.6556 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265218&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.414883[/C][/ROW]
[ROW][C]R-squared[/C][C]0.172128[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.131206[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]4.20629[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]13[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]263[/C][/ROW]
[ROW][C]p-value[/C][C]2.26239e-06[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.363002[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]34.6556[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265218&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265218&T=3

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Regression Statistics
Multiple R	0.414883
R-squared	0.172128
Adjusted R-squared	0.131206
F-TEST (value)	4.20629
F-TEST (DF numerator)	13
F-TEST (DF denominator)	263
p-value	2.26239e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.363002
Sum Squared Residuals	34.6556

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	0.5	0.797717	-0.297717
2	1	0.802067	0.197933
3	1	0.765695	0.234305
4	0	0.69081	-0.69081
5	1	0.70629	0.29371
6	0.5	0.441323	0.0586772
7	0	0.775133	-0.775133
8	1	0.627699	0.372301
9	0	0.788313	-0.788313
10	0.5	0.644507	-0.144507
11	0.5	0.847942	-0.347942
12	0.5	0.594316	-0.0943157
13	0.5	0.75044	-0.25044
14	1	0.560257	0.439743
15	0	0.680339	-0.680339
16	0.5	0.613364	-0.113364
17	0.5	0.712229	-0.212229
18	1	0.624402	0.375598
19	1	0.740842	0.259158
20	1	0.556585	0.443415
21	0.5	0.584773	-0.084773
22	1	0.709384	0.290616
23	1	0.703178	0.296822
24	1	0.697043	0.302957
25	0	0.792497	-0.792497
26	0	0.345551	-0.345551
27	1	0.926425	0.0735755
28	0.5	0.690318	-0.190318
29	1	0.89523	0.10477
30	0.5	0.543163	-0.0431631
31	1	0.506798	0.493202
32	1	0.557085	0.442915
33	0.5	0.890445	-0.390445
34	0.5	0.692457	-0.192457
35	0.5	0.78795	-0.28795
36	0.5	0.738676	-0.238676
37	0	0.268048	-0.268048
38	0	0.54332	-0.54332
39	0.5	0.797971	-0.297971
40	1	0.719996	0.280004
41	0.5	0.773086	-0.273086
42	1	0.732138	0.267862
43	1	0.698625	0.301375
44	1	0.837395	0.162605
45	1	0.595266	0.404734
46	0.5	0.860698	-0.360698
47	1	0.546483	0.453517
48	1	0.699966	0.300034
49	1	0.531954	0.468046
50	1	0.697546	0.302454
51	0.5	0.777978	-0.277978
52	0.5	0.638647	-0.138647
53	1	0.631152	0.368848
54	0.5	0.822444	-0.322444
55	0	0.631881	-0.631881
56	1	0.792577	0.207423
57	1	0.699473	0.300527
58	0.5	0.440193	0.0598072
59	0	0.256553	-0.256553
60	1	0.82095	0.17905
61	0.5	0.8358	-0.3358
62	1	0.654797	0.345203
63	1	0.661018	0.338982
64	0.5	0.704594	-0.204594
65	1	0.7094	0.2906
66	1	0.703514	0.296486
67	1	0.693622	0.306378
68	1	0.746604	0.253396
69	0	0.499302	-0.499302
70	0.5	0.549644	-0.0496435
71	1	0.772592	0.227408
72	0.5	0.721995	-0.221995
73	0.5	0.732933	-0.232933
74	1	0.823632	0.176368
75	0	0.42851	-0.42851
76	1	1.58164	-0.581635
77	0	0.261532	-0.261532
78	0.5	0.675415	-0.175415
79	0.5	0.929027	-0.429027
80	0	-0.299111	0.299111
81	1	0.658771	0.341229
82	1	1.45724	-0.457236
83	0	-0.374754	0.374754
84	1	0.811556	0.188444
85	1	1.26841	-0.268408
86	0	0.301871	-0.301871
87	0.5	0.660081	-0.160081
88	0.5	0.257519	0.242481
89	1	1.31063	-0.310634
90	0.5	0.0212711	0.478729
91	1	1.16278	-0.162781
92	0.5	0.10887	0.39113
93	1	0.705374	0.294626
94	1	0.623562	0.376438
95	1	0.674306	0.325694
96	1	0.738875	0.261125
97	1	0.84959	0.15041
98	1	1.21059	-0.210591
99	0.5	0.272623	0.227377
100	1	0.723779	0.276221
101	1	0.800331	0.199669
102	1	1.28876	-0.28876
103	0.5	0.790264	-0.290264
104	0	0.131214	-0.131214
105	0.5	0.621239	-0.121239
106	0.5	0.890654	-0.390654
107	0	0.169696	-0.169696
108	0	0.479086	-0.479086
109	0	-0.253835	0.253835
110	1	1.08714	-0.0871402
111	0.5	0.723693	-0.223693
112	0.5	0.195628	0.304372
113	1	0.710829	0.289171
114	1	0.787549	0.212451
115	1	1.07508	-0.0750804
116	0.5	0.388863	0.111137
117	1	0.782133	0.217867
118	1	1.08606	-0.0860638
119	0.5	0.314873	0.185127
120	1	0.738365	0.261635
121	1	0.797393	0.202607
122	1	1.14014	-0.140143
123	0.5	0.151759	0.348241
124	1	0.800991	0.199009
125	1	0.755444	0.244556
126	1	0.515367	0.484633
127	1	0.735053	0.264947
128	1	1.10345	-0.103452
129	0.5	0.80692	-0.30692
130	0.5	0.246795	0.253205
131	1	0.828821	0.171179
132	1	1.78142	-0.781416
133	0	0.0671924	-0.0671924
134	0.5	0.00528669	0.494713
135	1	1.66165	-0.661647
136	0	-0.327935	0.327935
137	1	0.736356	0.263644
138	1	1.72589	-0.725894
139	0	-0.241726	0.241726
140	1	1.06232	-0.062318
141	0.5	0.620773	-0.120773
142	0.5	0.0788276	0.421172
143	1	1.14212	-0.142119
144	0	-0.346642	0.346642
145	1	0.56851	0.43149
146	1	1.21881	-0.21881
147	0.5	0.48043	0.0195701
148	0.5	0.966879	-0.466879
149	0	0.220418	-0.220418
150	0	-0.241862	0.241862
151	1	1.04135	-0.0413473
152	0.5	1.26657	-0.766569
153	0	-0.20578	0.20578
154	1	0.649341	0.350659
155	1	1.46449	-0.464494
156	0.5	0.156256	0.343744
157	1	0.87293	0.12707
158	1	0.590799	0.409201
159	1	0.836175	0.163825
160	1	1.56709	-0.567093
161	0	-0.184267	0.184267
162	1	0.705082	0.294918
163	1	1.72014	-0.720138
164	0	0.227295	-0.227295
165	0.5	0.744671	-0.244671
166	0.5	0.243137	0.256863
167	1	0.810311	0.189689
168	1	1.26472	-0.264718
169	0.5	0.835662	-0.335662
170	0.5	0.273047	0.226953
171	1	0.828336	0.171664
172	1	1.20341	-0.203409
173	0.5	1.44556	-0.945559
174	0	-0.301213	0.301213
175	1	0.736802	0.263198
176	1	0.710888	0.289112
177	1	0.617402	0.382598
178	1	0.567663	0.432337
179	1	1.23205	-0.232052
180	0.5	0.140338	0.359662
181	1	0.73924	0.26076
182	1	1.63656	-0.63656
183	0	0.676307	-0.676307
184	0	0.163471	-0.163471
185	0.5	1.10704	-0.607038
186	0	-0.141892	0.141892
187	1	0.839753	0.160247
188	1	0.840725	0.159275
189	1	0.820294	0.179706
190	1	1.62684	-0.626844
191	0	-0.151333	0.151333
192	1	1.41115	-0.411153
193	0	-0.331418	0.331418
194	1	0.455483	0.544517
195	1	1.02158	-0.0215838
196	0.5	0.452546	0.0474544
197	1	1.20278	-0.202782
198	0.5	0.715428	-0.215428
199	0	-0.435789	0.435789
200	1	0.676579	0.323421
201	1	1.00762	-0.00761926
202	1	1.28384	-0.283845
203	0.5	-0.000640849	0.500641
204	1	1.76275	-0.762754
205	0	0.264579	-0.264579
206	0.5	0.290105	0.209895
207	1	0.528198	0.471802
208	1	0.721572	0.278428
209	1	0.941611	0.0583894
210	0	0.559742	-0.559742
211	0	0.295916	-0.295916
212	0.5	0.137445	0.362555
213	1	0.399763	0.600237
214	1	0.548943	0.451057
215	1	0.718071	0.281929
216	1	0.429859	0.570141
217	1	1.62336	-0.623356
218	0	-0.280255	0.280255
219	1	0.760346	0.239654
220	1	0.876412	0.123588
221	1	0.554022	0.445978
222	1	1.08211	-0.082108
223	0.5	0.327499	0.172501
224	1	1.37647	-0.376468
225	0	0.167939	-0.167939
226	0.5	0.688614	-0.188614
227	0.5	0.583133	-0.0831329
228	0.5	0.290627	0.209373
229	1	1.2717	-0.271705
230	0.5	0.62613	-0.12613
231	0.5	0.689041	-0.189041
232	0	-0.429733	0.429733
233	1	0.761482	0.238518
234	1	1.23042	-0.230421
235	0.5	0.541979	-0.0419786
236	0	-0.102298	0.102298
237	1	0.648495	0.351505
238	1	0.984998	0.0150024
239	0.5	0.664921	-0.164921
240	0	0.663939	-0.663939
241	0	-0.28615	0.28615
242	1	0.544999	0.455001
243	1	1.23577	-0.235769
244	0.5	0.777909	-0.277909
245	0.5	0.179061	0.320939
246	1	0.697936	0.302064
247	1	1.16448	-0.164477
248	0.5	1.24088	-0.740884
249	0	-0.270233	0.270233
250	1	0.596105	0.403895
251	1	0.763804	0.236196
252	1	1.11357	-0.113569
253	0.5	0.762872	-0.262872
254	0.5	0.0472114	0.452789
255	1	0.778225	0.221775
256	1	0.861948	0.138052
257	1	0.754755	0.245245
258	1	1.76916	-0.76916
259	0	0.034312	-0.034312
260	0.5	0.00723138	0.492769
261	1	0.73377	0.26623
262	1	0.922193	0.0778065
263	1	1.45593	-0.455929
264	0	0.235324	-0.235324
265	0.5	1.09373	-0.593735
266	0	-0.241791	0.241791
267	1	1.73351	-0.733513
268	0	-0.518123	0.518123
269	1	0.814792	0.185208
270	1	1.78035	-0.780348
271	0	0.683791	-0.683791
272	0	-0.328404	0.328404
273	1	1.10536	-0.105361
274	0	-0.234722	0.234722
275	1	0.721551	0.278449
276	1	0.82249	0.17751
277	1	1.2766	-0.2766
278	0.5	NA	NA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 0.5 & 0.797717 & -0.297717 \tabularnewline
2 & 1 & 0.802067 & 0.197933 \tabularnewline
3 & 1 & 0.765695 & 0.234305 \tabularnewline
4 & 0 & 0.69081 & -0.69081 \tabularnewline
5 & 1 & 0.70629 & 0.29371 \tabularnewline
6 & 0.5 & 0.441323 & 0.0586772 \tabularnewline
7 & 0 & 0.775133 & -0.775133 \tabularnewline
8 & 1 & 0.627699 & 0.372301 \tabularnewline
9 & 0 & 0.788313 & -0.788313 \tabularnewline
10 & 0.5 & 0.644507 & -0.144507 \tabularnewline
11 & 0.5 & 0.847942 & -0.347942 \tabularnewline
12 & 0.5 & 0.594316 & -0.0943157 \tabularnewline
13 & 0.5 & 0.75044 & -0.25044 \tabularnewline
14 & 1 & 0.560257 & 0.439743 \tabularnewline
15 & 0 & 0.680339 & -0.680339 \tabularnewline
16 & 0.5 & 0.613364 & -0.113364 \tabularnewline
17 & 0.5 & 0.712229 & -0.212229 \tabularnewline
18 & 1 & 0.624402 & 0.375598 \tabularnewline
19 & 1 & 0.740842 & 0.259158 \tabularnewline
20 & 1 & 0.556585 & 0.443415 \tabularnewline
21 & 0.5 & 0.584773 & -0.084773 \tabularnewline
22 & 1 & 0.709384 & 0.290616 \tabularnewline
23 & 1 & 0.703178 & 0.296822 \tabularnewline
24 & 1 & 0.697043 & 0.302957 \tabularnewline
25 & 0 & 0.792497 & -0.792497 \tabularnewline
26 & 0 & 0.345551 & -0.345551 \tabularnewline
27 & 1 & 0.926425 & 0.0735755 \tabularnewline
28 & 0.5 & 0.690318 & -0.190318 \tabularnewline
29 & 1 & 0.89523 & 0.10477 \tabularnewline
30 & 0.5 & 0.543163 & -0.0431631 \tabularnewline
31 & 1 & 0.506798 & 0.493202 \tabularnewline
32 & 1 & 0.557085 & 0.442915 \tabularnewline
33 & 0.5 & 0.890445 & -0.390445 \tabularnewline
34 & 0.5 & 0.692457 & -0.192457 \tabularnewline
35 & 0.5 & 0.78795 & -0.28795 \tabularnewline
36 & 0.5 & 0.738676 & -0.238676 \tabularnewline
37 & 0 & 0.268048 & -0.268048 \tabularnewline
38 & 0 & 0.54332 & -0.54332 \tabularnewline
39 & 0.5 & 0.797971 & -0.297971 \tabularnewline
40 & 1 & 0.719996 & 0.280004 \tabularnewline
41 & 0.5 & 0.773086 & -0.273086 \tabularnewline
42 & 1 & 0.732138 & 0.267862 \tabularnewline
43 & 1 & 0.698625 & 0.301375 \tabularnewline
44 & 1 & 0.837395 & 0.162605 \tabularnewline
45 & 1 & 0.595266 & 0.404734 \tabularnewline
46 & 0.5 & 0.860698 & -0.360698 \tabularnewline
47 & 1 & 0.546483 & 0.453517 \tabularnewline
48 & 1 & 0.699966 & 0.300034 \tabularnewline
49 & 1 & 0.531954 & 0.468046 \tabularnewline
50 & 1 & 0.697546 & 0.302454 \tabularnewline
51 & 0.5 & 0.777978 & -0.277978 \tabularnewline
52 & 0.5 & 0.638647 & -0.138647 \tabularnewline
53 & 1 & 0.631152 & 0.368848 \tabularnewline
54 & 0.5 & 0.822444 & -0.322444 \tabularnewline
55 & 0 & 0.631881 & -0.631881 \tabularnewline
56 & 1 & 0.792577 & 0.207423 \tabularnewline
57 & 1 & 0.699473 & 0.300527 \tabularnewline
58 & 0.5 & 0.440193 & 0.0598072 \tabularnewline
59 & 0 & 0.256553 & -0.256553 \tabularnewline
60 & 1 & 0.82095 & 0.17905 \tabularnewline
61 & 0.5 & 0.8358 & -0.3358 \tabularnewline
62 & 1 & 0.654797 & 0.345203 \tabularnewline
63 & 1 & 0.661018 & 0.338982 \tabularnewline
64 & 0.5 & 0.704594 & -0.204594 \tabularnewline
65 & 1 & 0.7094 & 0.2906 \tabularnewline
66 & 1 & 0.703514 & 0.296486 \tabularnewline
67 & 1 & 0.693622 & 0.306378 \tabularnewline
68 & 1 & 0.746604 & 0.253396 \tabularnewline
69 & 0 & 0.499302 & -0.499302 \tabularnewline
70 & 0.5 & 0.549644 & -0.0496435 \tabularnewline
71 & 1 & 0.772592 & 0.227408 \tabularnewline
72 & 0.5 & 0.721995 & -0.221995 \tabularnewline
73 & 0.5 & 0.732933 & -0.232933 \tabularnewline
74 & 1 & 0.823632 & 0.176368 \tabularnewline
75 & 0 & 0.42851 & -0.42851 \tabularnewline
76 & 1 & 1.58164 & -0.581635 \tabularnewline
77 & 0 & 0.261532 & -0.261532 \tabularnewline
78 & 0.5 & 0.675415 & -0.175415 \tabularnewline
79 & 0.5 & 0.929027 & -0.429027 \tabularnewline
80 & 0 & -0.299111 & 0.299111 \tabularnewline
81 & 1 & 0.658771 & 0.341229 \tabularnewline
82 & 1 & 1.45724 & -0.457236 \tabularnewline
83 & 0 & -0.374754 & 0.374754 \tabularnewline
84 & 1 & 0.811556 & 0.188444 \tabularnewline
85 & 1 & 1.26841 & -0.268408 \tabularnewline
86 & 0 & 0.301871 & -0.301871 \tabularnewline
87 & 0.5 & 0.660081 & -0.160081 \tabularnewline
88 & 0.5 & 0.257519 & 0.242481 \tabularnewline
89 & 1 & 1.31063 & -0.310634 \tabularnewline
90 & 0.5 & 0.0212711 & 0.478729 \tabularnewline
91 & 1 & 1.16278 & -0.162781 \tabularnewline
92 & 0.5 & 0.10887 & 0.39113 \tabularnewline
93 & 1 & 0.705374 & 0.294626 \tabularnewline
94 & 1 & 0.623562 & 0.376438 \tabularnewline
95 & 1 & 0.674306 & 0.325694 \tabularnewline
96 & 1 & 0.738875 & 0.261125 \tabularnewline
97 & 1 & 0.84959 & 0.15041 \tabularnewline
98 & 1 & 1.21059 & -0.210591 \tabularnewline
99 & 0.5 & 0.272623 & 0.227377 \tabularnewline
100 & 1 & 0.723779 & 0.276221 \tabularnewline
101 & 1 & 0.800331 & 0.199669 \tabularnewline
102 & 1 & 1.28876 & -0.28876 \tabularnewline
103 & 0.5 & 0.790264 & -0.290264 \tabularnewline
104 & 0 & 0.131214 & -0.131214 \tabularnewline
105 & 0.5 & 0.621239 & -0.121239 \tabularnewline
106 & 0.5 & 0.890654 & -0.390654 \tabularnewline
107 & 0 & 0.169696 & -0.169696 \tabularnewline
108 & 0 & 0.479086 & -0.479086 \tabularnewline
109 & 0 & -0.253835 & 0.253835 \tabularnewline
110 & 1 & 1.08714 & -0.0871402 \tabularnewline
111 & 0.5 & 0.723693 & -0.223693 \tabularnewline
112 & 0.5 & 0.195628 & 0.304372 \tabularnewline
113 & 1 & 0.710829 & 0.289171 \tabularnewline
114 & 1 & 0.787549 & 0.212451 \tabularnewline
115 & 1 & 1.07508 & -0.0750804 \tabularnewline
116 & 0.5 & 0.388863 & 0.111137 \tabularnewline
117 & 1 & 0.782133 & 0.217867 \tabularnewline
118 & 1 & 1.08606 & -0.0860638 \tabularnewline
119 & 0.5 & 0.314873 & 0.185127 \tabularnewline
120 & 1 & 0.738365 & 0.261635 \tabularnewline
121 & 1 & 0.797393 & 0.202607 \tabularnewline
122 & 1 & 1.14014 & -0.140143 \tabularnewline
123 & 0.5 & 0.151759 & 0.348241 \tabularnewline
124 & 1 & 0.800991 & 0.199009 \tabularnewline
125 & 1 & 0.755444 & 0.244556 \tabularnewline
126 & 1 & 0.515367 & 0.484633 \tabularnewline
127 & 1 & 0.735053 & 0.264947 \tabularnewline
128 & 1 & 1.10345 & -0.103452 \tabularnewline
129 & 0.5 & 0.80692 & -0.30692 \tabularnewline
130 & 0.5 & 0.246795 & 0.253205 \tabularnewline
131 & 1 & 0.828821 & 0.171179 \tabularnewline
132 & 1 & 1.78142 & -0.781416 \tabularnewline
133 & 0 & 0.0671924 & -0.0671924 \tabularnewline
134 & 0.5 & 0.00528669 & 0.494713 \tabularnewline
135 & 1 & 1.66165 & -0.661647 \tabularnewline
136 & 0 & -0.327935 & 0.327935 \tabularnewline
137 & 1 & 0.736356 & 0.263644 \tabularnewline
138 & 1 & 1.72589 & -0.725894 \tabularnewline
139 & 0 & -0.241726 & 0.241726 \tabularnewline
140 & 1 & 1.06232 & -0.062318 \tabularnewline
141 & 0.5 & 0.620773 & -0.120773 \tabularnewline
142 & 0.5 & 0.0788276 & 0.421172 \tabularnewline
143 & 1 & 1.14212 & -0.142119 \tabularnewline
144 & 0 & -0.346642 & 0.346642 \tabularnewline
145 & 1 & 0.56851 & 0.43149 \tabularnewline
146 & 1 & 1.21881 & -0.21881 \tabularnewline
147 & 0.5 & 0.48043 & 0.0195701 \tabularnewline
148 & 0.5 & 0.966879 & -0.466879 \tabularnewline
149 & 0 & 0.220418 & -0.220418 \tabularnewline
150 & 0 & -0.241862 & 0.241862 \tabularnewline
151 & 1 & 1.04135 & -0.0413473 \tabularnewline
152 & 0.5 & 1.26657 & -0.766569 \tabularnewline
153 & 0 & -0.20578 & 0.20578 \tabularnewline
154 & 1 & 0.649341 & 0.350659 \tabularnewline
155 & 1 & 1.46449 & -0.464494 \tabularnewline
156 & 0.5 & 0.156256 & 0.343744 \tabularnewline
157 & 1 & 0.87293 & 0.12707 \tabularnewline
158 & 1 & 0.590799 & 0.409201 \tabularnewline
159 & 1 & 0.836175 & 0.163825 \tabularnewline
160 & 1 & 1.56709 & -0.567093 \tabularnewline
161 & 0 & -0.184267 & 0.184267 \tabularnewline
162 & 1 & 0.705082 & 0.294918 \tabularnewline
163 & 1 & 1.72014 & -0.720138 \tabularnewline
164 & 0 & 0.227295 & -0.227295 \tabularnewline
165 & 0.5 & 0.744671 & -0.244671 \tabularnewline
166 & 0.5 & 0.243137 & 0.256863 \tabularnewline
167 & 1 & 0.810311 & 0.189689 \tabularnewline
168 & 1 & 1.26472 & -0.264718 \tabularnewline
169 & 0.5 & 0.835662 & -0.335662 \tabularnewline
170 & 0.5 & 0.273047 & 0.226953 \tabularnewline
171 & 1 & 0.828336 & 0.171664 \tabularnewline
172 & 1 & 1.20341 & -0.203409 \tabularnewline
173 & 0.5 & 1.44556 & -0.945559 \tabularnewline
174 & 0 & -0.301213 & 0.301213 \tabularnewline
175 & 1 & 0.736802 & 0.263198 \tabularnewline
176 & 1 & 0.710888 & 0.289112 \tabularnewline
177 & 1 & 0.617402 & 0.382598 \tabularnewline
178 & 1 & 0.567663 & 0.432337 \tabularnewline
179 & 1 & 1.23205 & -0.232052 \tabularnewline
180 & 0.5 & 0.140338 & 0.359662 \tabularnewline
181 & 1 & 0.73924 & 0.26076 \tabularnewline
182 & 1 & 1.63656 & -0.63656 \tabularnewline
183 & 0 & 0.676307 & -0.676307 \tabularnewline
184 & 0 & 0.163471 & -0.163471 \tabularnewline
185 & 0.5 & 1.10704 & -0.607038 \tabularnewline
186 & 0 & -0.141892 & 0.141892 \tabularnewline
187 & 1 & 0.839753 & 0.160247 \tabularnewline
188 & 1 & 0.840725 & 0.159275 \tabularnewline
189 & 1 & 0.820294 & 0.179706 \tabularnewline
190 & 1 & 1.62684 & -0.626844 \tabularnewline
191 & 0 & -0.151333 & 0.151333 \tabularnewline
192 & 1 & 1.41115 & -0.411153 \tabularnewline
193 & 0 & -0.331418 & 0.331418 \tabularnewline
194 & 1 & 0.455483 & 0.544517 \tabularnewline
195 & 1 & 1.02158 & -0.0215838 \tabularnewline
196 & 0.5 & 0.452546 & 0.0474544 \tabularnewline
197 & 1 & 1.20278 & -0.202782 \tabularnewline
198 & 0.5 & 0.715428 & -0.215428 \tabularnewline
199 & 0 & -0.435789 & 0.435789 \tabularnewline
200 & 1 & 0.676579 & 0.323421 \tabularnewline
201 & 1 & 1.00762 & -0.00761926 \tabularnewline
202 & 1 & 1.28384 & -0.283845 \tabularnewline
203 & 0.5 & -0.000640849 & 0.500641 \tabularnewline
204 & 1 & 1.76275 & -0.762754 \tabularnewline
205 & 0 & 0.264579 & -0.264579 \tabularnewline
206 & 0.5 & 0.290105 & 0.209895 \tabularnewline
207 & 1 & 0.528198 & 0.471802 \tabularnewline
208 & 1 & 0.721572 & 0.278428 \tabularnewline
209 & 1 & 0.941611 & 0.0583894 \tabularnewline
210 & 0 & 0.559742 & -0.559742 \tabularnewline
211 & 0 & 0.295916 & -0.295916 \tabularnewline
212 & 0.5 & 0.137445 & 0.362555 \tabularnewline
213 & 1 & 0.399763 & 0.600237 \tabularnewline
214 & 1 & 0.548943 & 0.451057 \tabularnewline
215 & 1 & 0.718071 & 0.281929 \tabularnewline
216 & 1 & 0.429859 & 0.570141 \tabularnewline
217 & 1 & 1.62336 & -0.623356 \tabularnewline
218 & 0 & -0.280255 & 0.280255 \tabularnewline
219 & 1 & 0.760346 & 0.239654 \tabularnewline
220 & 1 & 0.876412 & 0.123588 \tabularnewline
221 & 1 & 0.554022 & 0.445978 \tabularnewline
222 & 1 & 1.08211 & -0.082108 \tabularnewline
223 & 0.5 & 0.327499 & 0.172501 \tabularnewline
224 & 1 & 1.37647 & -0.376468 \tabularnewline
225 & 0 & 0.167939 & -0.167939 \tabularnewline
226 & 0.5 & 0.688614 & -0.188614 \tabularnewline
227 & 0.5 & 0.583133 & -0.0831329 \tabularnewline
228 & 0.5 & 0.290627 & 0.209373 \tabularnewline
229 & 1 & 1.2717 & -0.271705 \tabularnewline
230 & 0.5 & 0.62613 & -0.12613 \tabularnewline
231 & 0.5 & 0.689041 & -0.189041 \tabularnewline
232 & 0 & -0.429733 & 0.429733 \tabularnewline
233 & 1 & 0.761482 & 0.238518 \tabularnewline
234 & 1 & 1.23042 & -0.230421 \tabularnewline
235 & 0.5 & 0.541979 & -0.0419786 \tabularnewline
236 & 0 & -0.102298 & 0.102298 \tabularnewline
237 & 1 & 0.648495 & 0.351505 \tabularnewline
238 & 1 & 0.984998 & 0.0150024 \tabularnewline
239 & 0.5 & 0.664921 & -0.164921 \tabularnewline
240 & 0 & 0.663939 & -0.663939 \tabularnewline
241 & 0 & -0.28615 & 0.28615 \tabularnewline
242 & 1 & 0.544999 & 0.455001 \tabularnewline
243 & 1 & 1.23577 & -0.235769 \tabularnewline
244 & 0.5 & 0.777909 & -0.277909 \tabularnewline
245 & 0.5 & 0.179061 & 0.320939 \tabularnewline
246 & 1 & 0.697936 & 0.302064 \tabularnewline
247 & 1 & 1.16448 & -0.164477 \tabularnewline
248 & 0.5 & 1.24088 & -0.740884 \tabularnewline
249 & 0 & -0.270233 & 0.270233 \tabularnewline
250 & 1 & 0.596105 & 0.403895 \tabularnewline
251 & 1 & 0.763804 & 0.236196 \tabularnewline
252 & 1 & 1.11357 & -0.113569 \tabularnewline
253 & 0.5 & 0.762872 & -0.262872 \tabularnewline
254 & 0.5 & 0.0472114 & 0.452789 \tabularnewline
255 & 1 & 0.778225 & 0.221775 \tabularnewline
256 & 1 & 0.861948 & 0.138052 \tabularnewline
257 & 1 & 0.754755 & 0.245245 \tabularnewline
258 & 1 & 1.76916 & -0.76916 \tabularnewline
259 & 0 & 0.034312 & -0.034312 \tabularnewline
260 & 0.5 & 0.00723138 & 0.492769 \tabularnewline
261 & 1 & 0.73377 & 0.26623 \tabularnewline
262 & 1 & 0.922193 & 0.0778065 \tabularnewline
263 & 1 & 1.45593 & -0.455929 \tabularnewline
264 & 0 & 0.235324 & -0.235324 \tabularnewline
265 & 0.5 & 1.09373 & -0.593735 \tabularnewline
266 & 0 & -0.241791 & 0.241791 \tabularnewline
267 & 1 & 1.73351 & -0.733513 \tabularnewline
268 & 0 & -0.518123 & 0.518123 \tabularnewline
269 & 1 & 0.814792 & 0.185208 \tabularnewline
270 & 1 & 1.78035 & -0.780348 \tabularnewline
271 & 0 & 0.683791 & -0.683791 \tabularnewline
272 & 0 & -0.328404 & 0.328404 \tabularnewline
273 & 1 & 1.10536 & -0.105361 \tabularnewline
274 & 0 & -0.234722 & 0.234722 \tabularnewline
275 & 1 & 0.721551 & 0.278449 \tabularnewline
276 & 1 & 0.82249 & 0.17751 \tabularnewline
277 & 1 & 1.2766 & -0.2766 \tabularnewline
278 & 0.5 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265218&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]0.5[/C][C]0.797717[/C][C]-0.297717[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]0.802067[/C][C]0.197933[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]0.765695[/C][C]0.234305[/C][/ROW]
[ROW][C]4[/C][C]0[/C][C]0.69081[/C][C]-0.69081[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]0.70629[/C][C]0.29371[/C][/ROW]
[ROW][C]6[/C][C]0.5[/C][C]0.441323[/C][C]0.0586772[/C][/ROW]
[ROW][C]7[/C][C]0[/C][C]0.775133[/C][C]-0.775133[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]0.627699[/C][C]0.372301[/C][/ROW]
[ROW][C]9[/C][C]0[/C][C]0.788313[/C][C]-0.788313[/C][/ROW]
[ROW][C]10[/C][C]0.5[/C][C]0.644507[/C][C]-0.144507[/C][/ROW]
[ROW][C]11[/C][C]0.5[/C][C]0.847942[/C][C]-0.347942[/C][/ROW]
[ROW][C]12[/C][C]0.5[/C][C]0.594316[/C][C]-0.0943157[/C][/ROW]
[ROW][C]13[/C][C]0.5[/C][C]0.75044[/C][C]-0.25044[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]0.560257[/C][C]0.439743[/C][/ROW]
[ROW][C]15[/C][C]0[/C][C]0.680339[/C][C]-0.680339[/C][/ROW]
[ROW][C]16[/C][C]0.5[/C][C]0.613364[/C][C]-0.113364[/C][/ROW]
[ROW][C]17[/C][C]0.5[/C][C]0.712229[/C][C]-0.212229[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]0.624402[/C][C]0.375598[/C][/ROW]
[ROW][C]19[/C][C]1[/C][C]0.740842[/C][C]0.259158[/C][/ROW]
[ROW][C]20[/C][C]1[/C][C]0.556585[/C][C]0.443415[/C][/ROW]
[ROW][C]21[/C][C]0.5[/C][C]0.584773[/C][C]-0.084773[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]0.709384[/C][C]0.290616[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]0.703178[/C][C]0.296822[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]0.697043[/C][C]0.302957[/C][/ROW]
[ROW][C]25[/C][C]0[/C][C]0.792497[/C][C]-0.792497[/C][/ROW]
[ROW][C]26[/C][C]0[/C][C]0.345551[/C][C]-0.345551[/C][/ROW]
[ROW][C]27[/C][C]1[/C][C]0.926425[/C][C]0.0735755[/C][/ROW]
[ROW][C]28[/C][C]0.5[/C][C]0.690318[/C][C]-0.190318[/C][/ROW]
[ROW][C]29[/C][C]1[/C][C]0.89523[/C][C]0.10477[/C][/ROW]
[ROW][C]30[/C][C]0.5[/C][C]0.543163[/C][C]-0.0431631[/C][/ROW]
[ROW][C]31[/C][C]1[/C][C]0.506798[/C][C]0.493202[/C][/ROW]
[ROW][C]32[/C][C]1[/C][C]0.557085[/C][C]0.442915[/C][/ROW]
[ROW][C]33[/C][C]0.5[/C][C]0.890445[/C][C]-0.390445[/C][/ROW]
[ROW][C]34[/C][C]0.5[/C][C]0.692457[/C][C]-0.192457[/C][/ROW]
[ROW][C]35[/C][C]0.5[/C][C]0.78795[/C][C]-0.28795[/C][/ROW]
[ROW][C]36[/C][C]0.5[/C][C]0.738676[/C][C]-0.238676[/C][/ROW]
[ROW][C]37[/C][C]0[/C][C]0.268048[/C][C]-0.268048[/C][/ROW]
[ROW][C]38[/C][C]0[/C][C]0.54332[/C][C]-0.54332[/C][/ROW]
[ROW][C]39[/C][C]0.5[/C][C]0.797971[/C][C]-0.297971[/C][/ROW]
[ROW][C]40[/C][C]1[/C][C]0.719996[/C][C]0.280004[/C][/ROW]
[ROW][C]41[/C][C]0.5[/C][C]0.773086[/C][C]-0.273086[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.732138[/C][C]0.267862[/C][/ROW]
[ROW][C]43[/C][C]1[/C][C]0.698625[/C][C]0.301375[/C][/ROW]
[ROW][C]44[/C][C]1[/C][C]0.837395[/C][C]0.162605[/C][/ROW]
[ROW][C]45[/C][C]1[/C][C]0.595266[/C][C]0.404734[/C][/ROW]
[ROW][C]46[/C][C]0.5[/C][C]0.860698[/C][C]-0.360698[/C][/ROW]
[ROW][C]47[/C][C]1[/C][C]0.546483[/C][C]0.453517[/C][/ROW]
[ROW][C]48[/C][C]1[/C][C]0.699966[/C][C]0.300034[/C][/ROW]
[ROW][C]49[/C][C]1[/C][C]0.531954[/C][C]0.468046[/C][/ROW]
[ROW][C]50[/C][C]1[/C][C]0.697546[/C][C]0.302454[/C][/ROW]
[ROW][C]51[/C][C]0.5[/C][C]0.777978[/C][C]-0.277978[/C][/ROW]
[ROW][C]52[/C][C]0.5[/C][C]0.638647[/C][C]-0.138647[/C][/ROW]
[ROW][C]53[/C][C]1[/C][C]0.631152[/C][C]0.368848[/C][/ROW]
[ROW][C]54[/C][C]0.5[/C][C]0.822444[/C][C]-0.322444[/C][/ROW]
[ROW][C]55[/C][C]0[/C][C]0.631881[/C][C]-0.631881[/C][/ROW]
[ROW][C]56[/C][C]1[/C][C]0.792577[/C][C]0.207423[/C][/ROW]
[ROW][C]57[/C][C]1[/C][C]0.699473[/C][C]0.300527[/C][/ROW]
[ROW][C]58[/C][C]0.5[/C][C]0.440193[/C][C]0.0598072[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]0.256553[/C][C]-0.256553[/C][/ROW]
[ROW][C]60[/C][C]1[/C][C]0.82095[/C][C]0.17905[/C][/ROW]
[ROW][C]61[/C][C]0.5[/C][C]0.8358[/C][C]-0.3358[/C][/ROW]
[ROW][C]62[/C][C]1[/C][C]0.654797[/C][C]0.345203[/C][/ROW]
[ROW][C]63[/C][C]1[/C][C]0.661018[/C][C]0.338982[/C][/ROW]
[ROW][C]64[/C][C]0.5[/C][C]0.704594[/C][C]-0.204594[/C][/ROW]
[ROW][C]65[/C][C]1[/C][C]0.7094[/C][C]0.2906[/C][/ROW]
[ROW][C]66[/C][C]1[/C][C]0.703514[/C][C]0.296486[/C][/ROW]
[ROW][C]67[/C][C]1[/C][C]0.693622[/C][C]0.306378[/C][/ROW]
[ROW][C]68[/C][C]1[/C][C]0.746604[/C][C]0.253396[/C][/ROW]
[ROW][C]69[/C][C]0[/C][C]0.499302[/C][C]-0.499302[/C][/ROW]
[ROW][C]70[/C][C]0.5[/C][C]0.549644[/C][C]-0.0496435[/C][/ROW]
[ROW][C]71[/C][C]1[/C][C]0.772592[/C][C]0.227408[/C][/ROW]
[ROW][C]72[/C][C]0.5[/C][C]0.721995[/C][C]-0.221995[/C][/ROW]
[ROW][C]73[/C][C]0.5[/C][C]0.732933[/C][C]-0.232933[/C][/ROW]
[ROW][C]74[/C][C]1[/C][C]0.823632[/C][C]0.176368[/C][/ROW]
[ROW][C]75[/C][C]0[/C][C]0.42851[/C][C]-0.42851[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]1.58164[/C][C]-0.581635[/C][/ROW]
[ROW][C]77[/C][C]0[/C][C]0.261532[/C][C]-0.261532[/C][/ROW]
[ROW][C]78[/C][C]0.5[/C][C]0.675415[/C][C]-0.175415[/C][/ROW]
[ROW][C]79[/C][C]0.5[/C][C]0.929027[/C][C]-0.429027[/C][/ROW]
[ROW][C]80[/C][C]0[/C][C]-0.299111[/C][C]0.299111[/C][/ROW]
[ROW][C]81[/C][C]1[/C][C]0.658771[/C][C]0.341229[/C][/ROW]
[ROW][C]82[/C][C]1[/C][C]1.45724[/C][C]-0.457236[/C][/ROW]
[ROW][C]83[/C][C]0[/C][C]-0.374754[/C][C]0.374754[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]0.811556[/C][C]0.188444[/C][/ROW]
[ROW][C]85[/C][C]1[/C][C]1.26841[/C][C]-0.268408[/C][/ROW]
[ROW][C]86[/C][C]0[/C][C]0.301871[/C][C]-0.301871[/C][/ROW]
[ROW][C]87[/C][C]0.5[/C][C]0.660081[/C][C]-0.160081[/C][/ROW]
[ROW][C]88[/C][C]0.5[/C][C]0.257519[/C][C]0.242481[/C][/ROW]
[ROW][C]89[/C][C]1[/C][C]1.31063[/C][C]-0.310634[/C][/ROW]
[ROW][C]90[/C][C]0.5[/C][C]0.0212711[/C][C]0.478729[/C][/ROW]
[ROW][C]91[/C][C]1[/C][C]1.16278[/C][C]-0.162781[/C][/ROW]
[ROW][C]92[/C][C]0.5[/C][C]0.10887[/C][C]0.39113[/C][/ROW]
[ROW][C]93[/C][C]1[/C][C]0.705374[/C][C]0.294626[/C][/ROW]
[ROW][C]94[/C][C]1[/C][C]0.623562[/C][C]0.376438[/C][/ROW]
[ROW][C]95[/C][C]1[/C][C]0.674306[/C][C]0.325694[/C][/ROW]
[ROW][C]96[/C][C]1[/C][C]0.738875[/C][C]0.261125[/C][/ROW]
[ROW][C]97[/C][C]1[/C][C]0.84959[/C][C]0.15041[/C][/ROW]
[ROW][C]98[/C][C]1[/C][C]1.21059[/C][C]-0.210591[/C][/ROW]
[ROW][C]99[/C][C]0.5[/C][C]0.272623[/C][C]0.227377[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]0.723779[/C][C]0.276221[/C][/ROW]
[ROW][C]101[/C][C]1[/C][C]0.800331[/C][C]0.199669[/C][/ROW]
[ROW][C]102[/C][C]1[/C][C]1.28876[/C][C]-0.28876[/C][/ROW]
[ROW][C]103[/C][C]0.5[/C][C]0.790264[/C][C]-0.290264[/C][/ROW]
[ROW][C]104[/C][C]0[/C][C]0.131214[/C][C]-0.131214[/C][/ROW]
[ROW][C]105[/C][C]0.5[/C][C]0.621239[/C][C]-0.121239[/C][/ROW]
[ROW][C]106[/C][C]0.5[/C][C]0.890654[/C][C]-0.390654[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]0.169696[/C][C]-0.169696[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]0.479086[/C][C]-0.479086[/C][/ROW]
[ROW][C]109[/C][C]0[/C][C]-0.253835[/C][C]0.253835[/C][/ROW]
[ROW][C]110[/C][C]1[/C][C]1.08714[/C][C]-0.0871402[/C][/ROW]
[ROW][C]111[/C][C]0.5[/C][C]0.723693[/C][C]-0.223693[/C][/ROW]
[ROW][C]112[/C][C]0.5[/C][C]0.195628[/C][C]0.304372[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]0.710829[/C][C]0.289171[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]0.787549[/C][C]0.212451[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]1.07508[/C][C]-0.0750804[/C][/ROW]
[ROW][C]116[/C][C]0.5[/C][C]0.388863[/C][C]0.111137[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]0.782133[/C][C]0.217867[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]1.08606[/C][C]-0.0860638[/C][/ROW]
[ROW][C]119[/C][C]0.5[/C][C]0.314873[/C][C]0.185127[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0.738365[/C][C]0.261635[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0.797393[/C][C]0.202607[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]1.14014[/C][C]-0.140143[/C][/ROW]
[ROW][C]123[/C][C]0.5[/C][C]0.151759[/C][C]0.348241[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]0.800991[/C][C]0.199009[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]0.755444[/C][C]0.244556[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0.515367[/C][C]0.484633[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0.735053[/C][C]0.264947[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]1.10345[/C][C]-0.103452[/C][/ROW]
[ROW][C]129[/C][C]0.5[/C][C]0.80692[/C][C]-0.30692[/C][/ROW]
[ROW][C]130[/C][C]0.5[/C][C]0.246795[/C][C]0.253205[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0.828821[/C][C]0.171179[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]1.78142[/C][C]-0.781416[/C][/ROW]
[ROW][C]133[/C][C]0[/C][C]0.0671924[/C][C]-0.0671924[/C][/ROW]
[ROW][C]134[/C][C]0.5[/C][C]0.00528669[/C][C]0.494713[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]1.66165[/C][C]-0.661647[/C][/ROW]
[ROW][C]136[/C][C]0[/C][C]-0.327935[/C][C]0.327935[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]0.736356[/C][C]0.263644[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]1.72589[/C][C]-0.725894[/C][/ROW]
[ROW][C]139[/C][C]0[/C][C]-0.241726[/C][C]0.241726[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]1.06232[/C][C]-0.062318[/C][/ROW]
[ROW][C]141[/C][C]0.5[/C][C]0.620773[/C][C]-0.120773[/C][/ROW]
[ROW][C]142[/C][C]0.5[/C][C]0.0788276[/C][C]0.421172[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]1.14212[/C][C]-0.142119[/C][/ROW]
[ROW][C]144[/C][C]0[/C][C]-0.346642[/C][C]0.346642[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]0.56851[/C][C]0.43149[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]1.21881[/C][C]-0.21881[/C][/ROW]
[ROW][C]147[/C][C]0.5[/C][C]0.48043[/C][C]0.0195701[/C][/ROW]
[ROW][C]148[/C][C]0.5[/C][C]0.966879[/C][C]-0.466879[/C][/ROW]
[ROW][C]149[/C][C]0[/C][C]0.220418[/C][C]-0.220418[/C][/ROW]
[ROW][C]150[/C][C]0[/C][C]-0.241862[/C][C]0.241862[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]1.04135[/C][C]-0.0413473[/C][/ROW]
[ROW][C]152[/C][C]0.5[/C][C]1.26657[/C][C]-0.766569[/C][/ROW]
[ROW][C]153[/C][C]0[/C][C]-0.20578[/C][C]0.20578[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0.649341[/C][C]0.350659[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]1.46449[/C][C]-0.464494[/C][/ROW]
[ROW][C]156[/C][C]0.5[/C][C]0.156256[/C][C]0.343744[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0.87293[/C][C]0.12707[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]0.590799[/C][C]0.409201[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]0.836175[/C][C]0.163825[/C][/ROW]
[ROW][C]160[/C][C]1[/C][C]1.56709[/C][C]-0.567093[/C][/ROW]
[ROW][C]161[/C][C]0[/C][C]-0.184267[/C][C]0.184267[/C][/ROW]
[ROW][C]162[/C][C]1[/C][C]0.705082[/C][C]0.294918[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]1.72014[/C][C]-0.720138[/C][/ROW]
[ROW][C]164[/C][C]0[/C][C]0.227295[/C][C]-0.227295[/C][/ROW]
[ROW][C]165[/C][C]0.5[/C][C]0.744671[/C][C]-0.244671[/C][/ROW]
[ROW][C]166[/C][C]0.5[/C][C]0.243137[/C][C]0.256863[/C][/ROW]
[ROW][C]167[/C][C]1[/C][C]0.810311[/C][C]0.189689[/C][/ROW]
[ROW][C]168[/C][C]1[/C][C]1.26472[/C][C]-0.264718[/C][/ROW]
[ROW][C]169[/C][C]0.5[/C][C]0.835662[/C][C]-0.335662[/C][/ROW]
[ROW][C]170[/C][C]0.5[/C][C]0.273047[/C][C]0.226953[/C][/ROW]
[ROW][C]171[/C][C]1[/C][C]0.828336[/C][C]0.171664[/C][/ROW]
[ROW][C]172[/C][C]1[/C][C]1.20341[/C][C]-0.203409[/C][/ROW]
[ROW][C]173[/C][C]0.5[/C][C]1.44556[/C][C]-0.945559[/C][/ROW]
[ROW][C]174[/C][C]0[/C][C]-0.301213[/C][C]0.301213[/C][/ROW]
[ROW][C]175[/C][C]1[/C][C]0.736802[/C][C]0.263198[/C][/ROW]
[ROW][C]176[/C][C]1[/C][C]0.710888[/C][C]0.289112[/C][/ROW]
[ROW][C]177[/C][C]1[/C][C]0.617402[/C][C]0.382598[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]0.567663[/C][C]0.432337[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]1.23205[/C][C]-0.232052[/C][/ROW]
[ROW][C]180[/C][C]0.5[/C][C]0.140338[/C][C]0.359662[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]0.73924[/C][C]0.26076[/C][/ROW]
[ROW][C]182[/C][C]1[/C][C]1.63656[/C][C]-0.63656[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]0.676307[/C][C]-0.676307[/C][/ROW]
[ROW][C]184[/C][C]0[/C][C]0.163471[/C][C]-0.163471[/C][/ROW]
[ROW][C]185[/C][C]0.5[/C][C]1.10704[/C][C]-0.607038[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]-0.141892[/C][C]0.141892[/C][/ROW]
[ROW][C]187[/C][C]1[/C][C]0.839753[/C][C]0.160247[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]0.840725[/C][C]0.159275[/C][/ROW]
[ROW][C]189[/C][C]1[/C][C]0.820294[/C][C]0.179706[/C][/ROW]
[ROW][C]190[/C][C]1[/C][C]1.62684[/C][C]-0.626844[/C][/ROW]
[ROW][C]191[/C][C]0[/C][C]-0.151333[/C][C]0.151333[/C][/ROW]
[ROW][C]192[/C][C]1[/C][C]1.41115[/C][C]-0.411153[/C][/ROW]
[ROW][C]193[/C][C]0[/C][C]-0.331418[/C][C]0.331418[/C][/ROW]
[ROW][C]194[/C][C]1[/C][C]0.455483[/C][C]0.544517[/C][/ROW]
[ROW][C]195[/C][C]1[/C][C]1.02158[/C][C]-0.0215838[/C][/ROW]
[ROW][C]196[/C][C]0.5[/C][C]0.452546[/C][C]0.0474544[/C][/ROW]
[ROW][C]197[/C][C]1[/C][C]1.20278[/C][C]-0.202782[/C][/ROW]
[ROW][C]198[/C][C]0.5[/C][C]0.715428[/C][C]-0.215428[/C][/ROW]
[ROW][C]199[/C][C]0[/C][C]-0.435789[/C][C]0.435789[/C][/ROW]
[ROW][C]200[/C][C]1[/C][C]0.676579[/C][C]0.323421[/C][/ROW]
[ROW][C]201[/C][C]1[/C][C]1.00762[/C][C]-0.00761926[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]1.28384[/C][C]-0.283845[/C][/ROW]
[ROW][C]203[/C][C]0.5[/C][C]-0.000640849[/C][C]0.500641[/C][/ROW]
[ROW][C]204[/C][C]1[/C][C]1.76275[/C][C]-0.762754[/C][/ROW]
[ROW][C]205[/C][C]0[/C][C]0.264579[/C][C]-0.264579[/C][/ROW]
[ROW][C]206[/C][C]0.5[/C][C]0.290105[/C][C]0.209895[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]0.528198[/C][C]0.471802[/C][/ROW]
[ROW][C]208[/C][C]1[/C][C]0.721572[/C][C]0.278428[/C][/ROW]
[ROW][C]209[/C][C]1[/C][C]0.941611[/C][C]0.0583894[/C][/ROW]
[ROW][C]210[/C][C]0[/C][C]0.559742[/C][C]-0.559742[/C][/ROW]
[ROW][C]211[/C][C]0[/C][C]0.295916[/C][C]-0.295916[/C][/ROW]
[ROW][C]212[/C][C]0.5[/C][C]0.137445[/C][C]0.362555[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]0.399763[/C][C]0.600237[/C][/ROW]
[ROW][C]214[/C][C]1[/C][C]0.548943[/C][C]0.451057[/C][/ROW]
[ROW][C]215[/C][C]1[/C][C]0.718071[/C][C]0.281929[/C][/ROW]
[ROW][C]216[/C][C]1[/C][C]0.429859[/C][C]0.570141[/C][/ROW]
[ROW][C]217[/C][C]1[/C][C]1.62336[/C][C]-0.623356[/C][/ROW]
[ROW][C]218[/C][C]0[/C][C]-0.280255[/C][C]0.280255[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]0.760346[/C][C]0.239654[/C][/ROW]
[ROW][C]220[/C][C]1[/C][C]0.876412[/C][C]0.123588[/C][/ROW]
[ROW][C]221[/C][C]1[/C][C]0.554022[/C][C]0.445978[/C][/ROW]
[ROW][C]222[/C][C]1[/C][C]1.08211[/C][C]-0.082108[/C][/ROW]
[ROW][C]223[/C][C]0.5[/C][C]0.327499[/C][C]0.172501[/C][/ROW]
[ROW][C]224[/C][C]1[/C][C]1.37647[/C][C]-0.376468[/C][/ROW]
[ROW][C]225[/C][C]0[/C][C]0.167939[/C][C]-0.167939[/C][/ROW]
[ROW][C]226[/C][C]0.5[/C][C]0.688614[/C][C]-0.188614[/C][/ROW]
[ROW][C]227[/C][C]0.5[/C][C]0.583133[/C][C]-0.0831329[/C][/ROW]
[ROW][C]228[/C][C]0.5[/C][C]0.290627[/C][C]0.209373[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]1.2717[/C][C]-0.271705[/C][/ROW]
[ROW][C]230[/C][C]0.5[/C][C]0.62613[/C][C]-0.12613[/C][/ROW]
[ROW][C]231[/C][C]0.5[/C][C]0.689041[/C][C]-0.189041[/C][/ROW]
[ROW][C]232[/C][C]0[/C][C]-0.429733[/C][C]0.429733[/C][/ROW]
[ROW][C]233[/C][C]1[/C][C]0.761482[/C][C]0.238518[/C][/ROW]
[ROW][C]234[/C][C]1[/C][C]1.23042[/C][C]-0.230421[/C][/ROW]
[ROW][C]235[/C][C]0.5[/C][C]0.541979[/C][C]-0.0419786[/C][/ROW]
[ROW][C]236[/C][C]0[/C][C]-0.102298[/C][C]0.102298[/C][/ROW]
[ROW][C]237[/C][C]1[/C][C]0.648495[/C][C]0.351505[/C][/ROW]
[ROW][C]238[/C][C]1[/C][C]0.984998[/C][C]0.0150024[/C][/ROW]
[ROW][C]239[/C][C]0.5[/C][C]0.664921[/C][C]-0.164921[/C][/ROW]
[ROW][C]240[/C][C]0[/C][C]0.663939[/C][C]-0.663939[/C][/ROW]
[ROW][C]241[/C][C]0[/C][C]-0.28615[/C][C]0.28615[/C][/ROW]
[ROW][C]242[/C][C]1[/C][C]0.544999[/C][C]0.455001[/C][/ROW]
[ROW][C]243[/C][C]1[/C][C]1.23577[/C][C]-0.235769[/C][/ROW]
[ROW][C]244[/C][C]0.5[/C][C]0.777909[/C][C]-0.277909[/C][/ROW]
[ROW][C]245[/C][C]0.5[/C][C]0.179061[/C][C]0.320939[/C][/ROW]
[ROW][C]246[/C][C]1[/C][C]0.697936[/C][C]0.302064[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]1.16448[/C][C]-0.164477[/C][/ROW]
[ROW][C]248[/C][C]0.5[/C][C]1.24088[/C][C]-0.740884[/C][/ROW]
[ROW][C]249[/C][C]0[/C][C]-0.270233[/C][C]0.270233[/C][/ROW]
[ROW][C]250[/C][C]1[/C][C]0.596105[/C][C]0.403895[/C][/ROW]
[ROW][C]251[/C][C]1[/C][C]0.763804[/C][C]0.236196[/C][/ROW]
[ROW][C]252[/C][C]1[/C][C]1.11357[/C][C]-0.113569[/C][/ROW]
[ROW][C]253[/C][C]0.5[/C][C]0.762872[/C][C]-0.262872[/C][/ROW]
[ROW][C]254[/C][C]0.5[/C][C]0.0472114[/C][C]0.452789[/C][/ROW]
[ROW][C]255[/C][C]1[/C][C]0.778225[/C][C]0.221775[/C][/ROW]
[ROW][C]256[/C][C]1[/C][C]0.861948[/C][C]0.138052[/C][/ROW]
[ROW][C]257[/C][C]1[/C][C]0.754755[/C][C]0.245245[/C][/ROW]
[ROW][C]258[/C][C]1[/C][C]1.76916[/C][C]-0.76916[/C][/ROW]
[ROW][C]259[/C][C]0[/C][C]0.034312[/C][C]-0.034312[/C][/ROW]
[ROW][C]260[/C][C]0.5[/C][C]0.00723138[/C][C]0.492769[/C][/ROW]
[ROW][C]261[/C][C]1[/C][C]0.73377[/C][C]0.26623[/C][/ROW]
[ROW][C]262[/C][C]1[/C][C]0.922193[/C][C]0.0778065[/C][/ROW]
[ROW][C]263[/C][C]1[/C][C]1.45593[/C][C]-0.455929[/C][/ROW]
[ROW][C]264[/C][C]0[/C][C]0.235324[/C][C]-0.235324[/C][/ROW]
[ROW][C]265[/C][C]0.5[/C][C]1.09373[/C][C]-0.593735[/C][/ROW]
[ROW][C]266[/C][C]0[/C][C]-0.241791[/C][C]0.241791[/C][/ROW]
[ROW][C]267[/C][C]1[/C][C]1.73351[/C][C]-0.733513[/C][/ROW]
[ROW][C]268[/C][C]0[/C][C]-0.518123[/C][C]0.518123[/C][/ROW]
[ROW][C]269[/C][C]1[/C][C]0.814792[/C][C]0.185208[/C][/ROW]
[ROW][C]270[/C][C]1[/C][C]1.78035[/C][C]-0.780348[/C][/ROW]
[ROW][C]271[/C][C]0[/C][C]0.683791[/C][C]-0.683791[/C][/ROW]
[ROW][C]272[/C][C]0[/C][C]-0.328404[/C][C]0.328404[/C][/ROW]
[ROW][C]273[/C][C]1[/C][C]1.10536[/C][C]-0.105361[/C][/ROW]
[ROW][C]274[/C][C]0[/C][C]-0.234722[/C][C]0.234722[/C][/ROW]
[ROW][C]275[/C][C]1[/C][C]0.721551[/C][C]0.278449[/C][/ROW]
[ROW][C]276[/C][C]1[/C][C]0.82249[/C][C]0.17751[/C][/ROW]
[ROW][C]277[/C][C]1[/C][C]1.2766[/C][C]-0.2766[/C][/ROW]
[ROW][C]278[/C][C]0.5[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265218&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265218&T=4

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	0.5	0.797717	-0.297717
2	1	0.802067	0.197933
3	1	0.765695	0.234305
4	0	0.69081	-0.69081
5	1	0.70629	0.29371
6	0.5	0.441323	0.0586772
7	0	0.775133	-0.775133
8	1	0.627699	0.372301
9	0	0.788313	-0.788313
10	0.5	0.644507	-0.144507
11	0.5	0.847942	-0.347942
12	0.5	0.594316	-0.0943157
13	0.5	0.75044	-0.25044
14	1	0.560257	0.439743
15	0	0.680339	-0.680339
16	0.5	0.613364	-0.113364
17	0.5	0.712229	-0.212229
18	1	0.624402	0.375598
19	1	0.740842	0.259158
20	1	0.556585	0.443415
21	0.5	0.584773	-0.084773
22	1	0.709384	0.290616
23	1	0.703178	0.296822
24	1	0.697043	0.302957
25	0	0.792497	-0.792497
26	0	0.345551	-0.345551
27	1	0.926425	0.0735755
28	0.5	0.690318	-0.190318
29	1	0.89523	0.10477
30	0.5	0.543163	-0.0431631
31	1	0.506798	0.493202
32	1	0.557085	0.442915
33	0.5	0.890445	-0.390445
34	0.5	0.692457	-0.192457
35	0.5	0.78795	-0.28795
36	0.5	0.738676	-0.238676
37	0	0.268048	-0.268048
38	0	0.54332	-0.54332
39	0.5	0.797971	-0.297971
40	1	0.719996	0.280004
41	0.5	0.773086	-0.273086
42	1	0.732138	0.267862
43	1	0.698625	0.301375
44	1	0.837395	0.162605
45	1	0.595266	0.404734
46	0.5	0.860698	-0.360698
47	1	0.546483	0.453517
48	1	0.699966	0.300034
49	1	0.531954	0.468046
50	1	0.697546	0.302454
51	0.5	0.777978	-0.277978
52	0.5	0.638647	-0.138647
53	1	0.631152	0.368848
54	0.5	0.822444	-0.322444
55	0	0.631881	-0.631881
56	1	0.792577	0.207423
57	1	0.699473	0.300527
58	0.5	0.440193	0.0598072
59	0	0.256553	-0.256553
60	1	0.82095	0.17905
61	0.5	0.8358	-0.3358
62	1	0.654797	0.345203
63	1	0.661018	0.338982
64	0.5	0.704594	-0.204594
65	1	0.7094	0.2906
66	1	0.703514	0.296486
67	1	0.693622	0.306378
68	1	0.746604	0.253396
69	0	0.499302	-0.499302
70	0.5	0.549644	-0.0496435
71	1	0.772592	0.227408
72	0.5	0.721995	-0.221995
73	0.5	0.732933	-0.232933
74	1	0.823632	0.176368
75	0	0.42851	-0.42851
76	1	1.58164	-0.581635
77	0	0.261532	-0.261532
78	0.5	0.675415	-0.175415
79	0.5	0.929027	-0.429027
80	0	-0.299111	0.299111
81	1	0.658771	0.341229
82	1	1.45724	-0.457236
83	0	-0.374754	0.374754
84	1	0.811556	0.188444
85	1	1.26841	-0.268408
86	0	0.301871	-0.301871
87	0.5	0.660081	-0.160081
88	0.5	0.257519	0.242481
89	1	1.31063	-0.310634
90	0.5	0.0212711	0.478729
91	1	1.16278	-0.162781
92	0.5	0.10887	0.39113
93	1	0.705374	0.294626
94	1	0.623562	0.376438
95	1	0.674306	0.325694
96	1	0.738875	0.261125
97	1	0.84959	0.15041
98	1	1.21059	-0.210591
99	0.5	0.272623	0.227377
100	1	0.723779	0.276221
101	1	0.800331	0.199669
102	1	1.28876	-0.28876
103	0.5	0.790264	-0.290264
104	0	0.131214	-0.131214
105	0.5	0.621239	-0.121239
106	0.5	0.890654	-0.390654
107	0	0.169696	-0.169696
108	0	0.479086	-0.479086
109	0	-0.253835	0.253835
110	1	1.08714	-0.0871402
111	0.5	0.723693	-0.223693
112	0.5	0.195628	0.304372
113	1	0.710829	0.289171
114	1	0.787549	0.212451
115	1	1.07508	-0.0750804
116	0.5	0.388863	0.111137
117	1	0.782133	0.217867
118	1	1.08606	-0.0860638
119	0.5	0.314873	0.185127
120	1	0.738365	0.261635
121	1	0.797393	0.202607
122	1	1.14014	-0.140143
123	0.5	0.151759	0.348241
124	1	0.800991	0.199009
125	1	0.755444	0.244556
126	1	0.515367	0.484633
127	1	0.735053	0.264947
128	1	1.10345	-0.103452
129	0.5	0.80692	-0.30692
130	0.5	0.246795	0.253205
131	1	0.828821	0.171179
132	1	1.78142	-0.781416
133	0	0.0671924	-0.0671924
134	0.5	0.00528669	0.494713
135	1	1.66165	-0.661647
136	0	-0.327935	0.327935
137	1	0.736356	0.263644
138	1	1.72589	-0.725894
139	0	-0.241726	0.241726
140	1	1.06232	-0.062318
141	0.5	0.620773	-0.120773
142	0.5	0.0788276	0.421172
143	1	1.14212	-0.142119
144	0	-0.346642	0.346642
145	1	0.56851	0.43149
146	1	1.21881	-0.21881
147	0.5	0.48043	0.0195701
148	0.5	0.966879	-0.466879
149	0	0.220418	-0.220418
150	0	-0.241862	0.241862
151	1	1.04135	-0.0413473
152	0.5	1.26657	-0.766569
153	0	-0.20578	0.20578
154	1	0.649341	0.350659
155	1	1.46449	-0.464494
156	0.5	0.156256	0.343744
157	1	0.87293	0.12707
158	1	0.590799	0.409201
159	1	0.836175	0.163825
160	1	1.56709	-0.567093
161	0	-0.184267	0.184267
162	1	0.705082	0.294918
163	1	1.72014	-0.720138
164	0	0.227295	-0.227295
165	0.5	0.744671	-0.244671
166	0.5	0.243137	0.256863
167	1	0.810311	0.189689
168	1	1.26472	-0.264718
169	0.5	0.835662	-0.335662
170	0.5	0.273047	0.226953
171	1	0.828336	0.171664
172	1	1.20341	-0.203409
173	0.5	1.44556	-0.945559
174	0	-0.301213	0.301213
175	1	0.736802	0.263198
176	1	0.710888	0.289112
177	1	0.617402	0.382598
178	1	0.567663	0.432337
179	1	1.23205	-0.232052
180	0.5	0.140338	0.359662
181	1	0.73924	0.26076
182	1	1.63656	-0.63656
183	0	0.676307	-0.676307
184	0	0.163471	-0.163471
185	0.5	1.10704	-0.607038
186	0	-0.141892	0.141892
187	1	0.839753	0.160247
188	1	0.840725	0.159275
189	1	0.820294	0.179706
190	1	1.62684	-0.626844
191	0	-0.151333	0.151333
192	1	1.41115	-0.411153
193	0	-0.331418	0.331418
194	1	0.455483	0.544517
195	1	1.02158	-0.0215838
196	0.5	0.452546	0.0474544
197	1	1.20278	-0.202782
198	0.5	0.715428	-0.215428
199	0	-0.435789	0.435789
200	1	0.676579	0.323421
201	1	1.00762	-0.00761926
202	1	1.28384	-0.283845
203	0.5	-0.000640849	0.500641
204	1	1.76275	-0.762754
205	0	0.264579	-0.264579
206	0.5	0.290105	0.209895
207	1	0.528198	0.471802
208	1	0.721572	0.278428
209	1	0.941611	0.0583894
210	0	0.559742	-0.559742
211	0	0.295916	-0.295916
212	0.5	0.137445	0.362555
213	1	0.399763	0.600237
214	1	0.548943	0.451057
215	1	0.718071	0.281929
216	1	0.429859	0.570141
217	1	1.62336	-0.623356
218	0	-0.280255	0.280255
219	1	0.760346	0.239654
220	1	0.876412	0.123588
221	1	0.554022	0.445978
222	1	1.08211	-0.082108
223	0.5	0.327499	0.172501
224	1	1.37647	-0.376468
225	0	0.167939	-0.167939
226	0.5	0.688614	-0.188614
227	0.5	0.583133	-0.0831329
228	0.5	0.290627	0.209373
229	1	1.2717	-0.271705
230	0.5	0.62613	-0.12613
231	0.5	0.689041	-0.189041
232	0	-0.429733	0.429733
233	1	0.761482	0.238518
234	1	1.23042	-0.230421
235	0.5	0.541979	-0.0419786
236	0	-0.102298	0.102298
237	1	0.648495	0.351505
238	1	0.984998	0.0150024
239	0.5	0.664921	-0.164921
240	0	0.663939	-0.663939
241	0	-0.28615	0.28615
242	1	0.544999	0.455001
243	1	1.23577	-0.235769
244	0.5	0.777909	-0.277909
245	0.5	0.179061	0.320939
246	1	0.697936	0.302064
247	1	1.16448	-0.164477
248	0.5	1.24088	-0.740884
249	0	-0.270233	0.270233
250	1	0.596105	0.403895
251	1	0.763804	0.236196
252	1	1.11357	-0.113569
253	0.5	0.762872	-0.262872
254	0.5	0.0472114	0.452789
255	1	0.778225	0.221775
256	1	0.861948	0.138052
257	1	0.754755	0.245245
258	1	1.76916	-0.76916
259	0	0.034312	-0.034312
260	0.5	0.00723138	0.492769
261	1	0.73377	0.26623
262	1	0.922193	0.0778065
263	1	1.45593	-0.455929
264	0	0.235324	-0.235324
265	0.5	1.09373	-0.593735
266	0	-0.241791	0.241791
267	1	1.73351	-0.733513
268	0	-0.518123	0.518123
269	1	0.814792	0.185208
270	1	1.78035	-0.780348
271	0	0.683791	-0.683791
272	0	-0.328404	0.328404
273	1	1.10536	-0.105361
274	0	-0.234722	0.234722
275	1	0.721551	0.278449
276	1	0.82249	0.17751
277	1	1.2766	-0.2766
278	0.5	NA	NA

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
17	0.82692	0.346161	0.17308
18	0.742436	0.515128	0.257564
19	0.697573	0.604855	0.302427
20	0.971162	0.0576757	0.0288379
21	0.94968	0.10064	0.05032
22	0.919669	0.160661	0.0803307
23	0.885431	0.229138	0.114569
24	0.86142	0.277161	0.13858
25	0.859897	0.280206	0.140103
26	0.945644	0.108711	0.0543557
27	0.920808	0.158385	0.0791924
28	0.89031	0.21938	0.10969
29	0.936293	0.127414	0.0637069
30	0.911807	0.176387	0.0881934
31	0.951627	0.0967465	0.0483732
32	0.939161	0.121679	0.0608394
33	0.92087	0.158261	0.0791303
34	0.903356	0.193287	0.0966437
35	0.876201	0.247599	0.123799
36	0.846336	0.307328	0.153664
37	0.835861	0.328278	0.164139
38	0.855551	0.288898	0.144449
39	0.823796	0.352408	0.176204
40	0.825155	0.34969	0.174845
41	0.794842	0.410315	0.205158
42	0.766081	0.467838	0.233919
43	0.726283	0.547434	0.273717
44	0.711986	0.576029	0.288014
45	0.688025	0.62395	0.311975
46	0.649297	0.701406	0.350703
47	0.6239	0.7522	0.3761
48	0.599514	0.800971	0.400486
49	0.597048	0.805905	0.402952
50	0.570577	0.858847	0.429423
51	0.527173	0.945654	0.472827
52	0.478963	0.957926	0.521037
53	0.459297	0.918595	0.540703
54	0.475728	0.951455	0.524272
55	0.576125	0.84775	0.423875
56	0.552205	0.89559	0.447795
57	0.530401	0.939197	0.469599
58	0.483312	0.966623	0.516688
59	0.458326	0.916653	0.541674
60	0.417006	0.834012	0.582994
61	0.399701	0.799401	0.600299
62	0.369732	0.739464	0.630268
63	0.380444	0.760887	0.619556
64	0.359104	0.718208	0.640896
65	0.341453	0.682907	0.658547
66	0.313467	0.626935	0.686533
67	0.379743	0.759485	0.620257
68	0.382724	0.765447	0.617276
69	0.434558	0.869117	0.565442
70	0.408857	0.817714	0.591143
71	0.388231	0.776463	0.611769
72	0.353049	0.706098	0.646951
73	0.328697	0.657394	0.671303
74	0.353237	0.706474	0.646763
75	0.437219	0.874438	0.562781
76	0.605573	0.788855	0.394427
77	0.601916	0.796168	0.398084
78	0.566078	0.867843	0.433922
79	0.569535	0.86093	0.430465
80	0.571653	0.856694	0.428347
81	0.55786	0.884279	0.44214
82	0.571503	0.856994	0.428497
83	0.560617	0.878765	0.439383
84	0.539867	0.920265	0.460133
85	0.520617	0.958766	0.479383
86	0.504676	0.990647	0.495324
87	0.472063	0.944125	0.527937
88	0.452633	0.905267	0.547367
89	0.437717	0.875433	0.562283
90	0.471015	0.94203	0.528985
91	0.436631	0.873262	0.563369
92	0.430511	0.861022	0.569489
93	0.42265	0.845299	0.57735
94	0.409667	0.819334	0.590333
95	0.387871	0.775742	0.612129
96	0.382191	0.764381	0.617809
97	0.349838	0.699676	0.650162
98	0.326371	0.652742	0.673629
99	0.303357	0.606713	0.696643
100	0.294864	0.589728	0.705136
101	0.278848	0.557696	0.721152
102	0.263102	0.526204	0.736898
103	0.280313	0.560626	0.719687
104	0.258747	0.517493	0.741253
105	0.231136	0.462273	0.768864
106	0.238275	0.476551	0.761725
107	0.213602	0.427203	0.786398
108	0.236046	0.472091	0.763954
109	0.220742	0.441484	0.779258
110	0.196003	0.392006	0.803997
111	0.179265	0.358531	0.820735
112	0.183557	0.367115	0.816443
113	0.171711	0.343422	0.828289
114	0.162073	0.324147	0.837927
115	0.140648	0.281297	0.859352
116	0.125367	0.250733	0.874633
117	0.11307	0.22614	0.88693
118	0.0985546	0.197109	0.901445
119	0.0873058	0.174612	0.912694
120	0.0821794	0.164359	0.917821
121	0.0725036	0.145007	0.927496
122	0.0624567	0.124913	0.937543
123	0.0597846	0.119569	0.940215
124	0.0533381	0.106676	0.946662
125	0.0481218	0.0962437	0.951878
126	0.0573622	0.114724	0.942638
127	0.0519729	0.103946	0.948027
128	0.0436029	0.0872058	0.956397
129	0.0413185	0.0826369	0.958682
130	0.0382516	0.0765031	0.961748
131	0.0327821	0.0655642	0.967218
132	0.0712518	0.142504	0.928748
133	0.0601092	0.120218	0.939891
134	0.0795531	0.159106	0.920447
135	0.112912	0.225824	0.887088
136	0.112625	0.22525	0.887375
137	0.10722	0.21444	0.89278
138	0.16088	0.32176	0.83912
139	0.147354	0.294709	0.852646
140	0.128475	0.256951	0.871525
141	0.117328	0.234656	0.882672
142	0.130555	0.26111	0.869445
143	0.117524	0.235049	0.882476
144	0.123421	0.246843	0.876579
145	0.137891	0.275782	0.862109
146	0.129012	0.258025	0.870988
147	0.111193	0.222387	0.888807
148	0.118946	0.237891	0.881054
149	0.109498	0.218996	0.890502
150	0.107014	0.214027	0.892986
151	0.0915353	0.183071	0.908465
152	0.151318	0.302637	0.848682
153	0.137406	0.274812	0.862594
154	0.140933	0.281866	0.859067
155	0.157641	0.315282	0.842359
156	0.152794	0.305588	0.847206
157	0.134887	0.269774	0.865113
158	0.140148	0.280297	0.859852
159	0.126139	0.252278	0.873861
160	0.153599	0.307199	0.846401
161	0.146898	0.293796	0.853102
162	0.142559	0.285118	0.857441
163	0.208762	0.417523	0.791238
164	0.202082	0.404164	0.797918
165	0.188352	0.376704	0.811648
166	0.183998	0.367996	0.816002
167	0.165773	0.331546	0.834227
168	0.151497	0.302995	0.848503
169	0.156645	0.31329	0.843355
170	0.144665	0.289329	0.855335
171	0.127881	0.255761	0.872119
172	0.117192	0.234385	0.882808
173	0.248082	0.496163	0.751918
174	0.240437	0.480874	0.759563
175	0.225667	0.451335	0.774333
176	0.215661	0.431321	0.784339
177	0.211825	0.423651	0.788175
178	0.229667	0.459333	0.770333
179	0.209644	0.419288	0.790356
180	0.202157	0.404313	0.797843
181	0.192341	0.384682	0.807659
182	0.248558	0.497116	0.751442
183	0.317627	0.635253	0.682373
184	0.297416	0.594831	0.702584
185	0.349712	0.699425	0.650288
186	0.316435	0.632871	0.683565
187	0.289732	0.579464	0.710268
188	0.261919	0.523837	0.738081
189	0.24705	0.494101	0.75295
190	0.299513	0.599026	0.700487
191	0.268578	0.537157	0.731422
192	0.266043	0.532086	0.733957
193	0.283489	0.566977	0.716511
194	0.302296	0.604592	0.697704
195	0.274899	0.549797	0.725101
196	0.249798	0.499596	0.750202
197	0.259807	0.519615	0.740193
198	0.24472	0.48944	0.75528
199	0.354071	0.708141	0.645929
200	0.382505	0.765009	0.617495
201	0.367417	0.734835	0.632583
202	0.38633	0.772659	0.61367
203	0.401397	0.802794	0.598603
204	0.551615	0.89677	0.448385
205	0.518349	0.963301	0.481651
206	0.483526	0.967052	0.516474
207	0.512175	0.975649	0.487825
208	0.477037	0.954073	0.522963
209	0.435496	0.870991	0.564504
210	0.436252	0.872503	0.563748
211	0.404193	0.808386	0.595807
212	0.389841	0.779682	0.610159
213	0.399166	0.798331	0.600834
214	0.407122	0.814244	0.592878
215	0.379083	0.758165	0.620917
216	0.539545	0.920909	0.460455
217	0.645865	0.70827	0.354135
218	0.615634	0.768733	0.384366
219	0.578849	0.842302	0.421151
220	0.556041	0.887918	0.443959
221	0.620922	0.758157	0.379078
222	0.582393	0.835215	0.417607
223	0.537171	0.925658	0.462829
224	0.715762	0.568476	0.284238
225	0.683088	0.633824	0.316912
226	0.641913	0.716173	0.358087
227	0.593545	0.81291	0.406455
228	0.603794	0.792412	0.396206
229	0.562622	0.874757	0.437378
230	0.512655	0.97469	0.487345
231	0.538074	0.923851	0.461926
232	0.524113	0.951774	0.475887
233	0.487947	0.975894	0.512053
234	0.436139	0.872279	0.563861
235	0.382321	0.764641	0.617679
236	0.351185	0.702369	0.648815
237	0.34727	0.69454	0.65273
238	0.317328	0.634656	0.682672
239	0.403872	0.807745	0.596128
240	0.563748	0.872505	0.436252
241	0.505354	0.989292	0.494646
242	0.503038	0.993924	0.496962
243	0.477655	0.95531	0.522345
244	0.678743	0.642514	0.321257
245	0.764081	0.471837	0.235919
246	0.821161	0.357679	0.178839
247	0.785125	0.42975	0.214875
248	0.807649	0.384701	0.192351
249	0.797433	0.405134	0.202567
250	0.737251	0.525498	0.262749
251	0.669624	0.660752	0.330376
252	0.590115	0.81977	0.409885
253	0.589677	0.820645	0.410323
254	0.499504	0.999008	0.500496
255	0.552676	0.894648	0.447324
256	0.490868	0.981737	0.509132
257	0.39653	0.79306	0.60347
258	0.729685	0.54063	0.270315
259	0.660359	0.679282	0.339641
260	0.54793	0.904141	0.45207
261	0.355838	0.711677	0.644162

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
17 & 0.82692 & 0.346161 & 0.17308 \tabularnewline
18 & 0.742436 & 0.515128 & 0.257564 \tabularnewline
19 & 0.697573 & 0.604855 & 0.302427 \tabularnewline
20 & 0.971162 & 0.0576757 & 0.0288379 \tabularnewline
21 & 0.94968 & 0.10064 & 0.05032 \tabularnewline
22 & 0.919669 & 0.160661 & 0.0803307 \tabularnewline
23 & 0.885431 & 0.229138 & 0.114569 \tabularnewline
24 & 0.86142 & 0.277161 & 0.13858 \tabularnewline
25 & 0.859897 & 0.280206 & 0.140103 \tabularnewline
26 & 0.945644 & 0.108711 & 0.0543557 \tabularnewline
27 & 0.920808 & 0.158385 & 0.0791924 \tabularnewline
28 & 0.89031 & 0.21938 & 0.10969 \tabularnewline
29 & 0.936293 & 0.127414 & 0.0637069 \tabularnewline
30 & 0.911807 & 0.176387 & 0.0881934 \tabularnewline
31 & 0.951627 & 0.0967465 & 0.0483732 \tabularnewline
32 & 0.939161 & 0.121679 & 0.0608394 \tabularnewline
33 & 0.92087 & 0.158261 & 0.0791303 \tabularnewline
34 & 0.903356 & 0.193287 & 0.0966437 \tabularnewline
35 & 0.876201 & 0.247599 & 0.123799 \tabularnewline
36 & 0.846336 & 0.307328 & 0.153664 \tabularnewline
37 & 0.835861 & 0.328278 & 0.164139 \tabularnewline
38 & 0.855551 & 0.288898 & 0.144449 \tabularnewline
39 & 0.823796 & 0.352408 & 0.176204 \tabularnewline
40 & 0.825155 & 0.34969 & 0.174845 \tabularnewline
41 & 0.794842 & 0.410315 & 0.205158 \tabularnewline
42 & 0.766081 & 0.467838 & 0.233919 \tabularnewline
43 & 0.726283 & 0.547434 & 0.273717 \tabularnewline
44 & 0.711986 & 0.576029 & 0.288014 \tabularnewline
45 & 0.688025 & 0.62395 & 0.311975 \tabularnewline
46 & 0.649297 & 0.701406 & 0.350703 \tabularnewline
47 & 0.6239 & 0.7522 & 0.3761 \tabularnewline
48 & 0.599514 & 0.800971 & 0.400486 \tabularnewline
49 & 0.597048 & 0.805905 & 0.402952 \tabularnewline
50 & 0.570577 & 0.858847 & 0.429423 \tabularnewline
51 & 0.527173 & 0.945654 & 0.472827 \tabularnewline
52 & 0.478963 & 0.957926 & 0.521037 \tabularnewline
53 & 0.459297 & 0.918595 & 0.540703 \tabularnewline
54 & 0.475728 & 0.951455 & 0.524272 \tabularnewline
55 & 0.576125 & 0.84775 & 0.423875 \tabularnewline
56 & 0.552205 & 0.89559 & 0.447795 \tabularnewline
57 & 0.530401 & 0.939197 & 0.469599 \tabularnewline
58 & 0.483312 & 0.966623 & 0.516688 \tabularnewline
59 & 0.458326 & 0.916653 & 0.541674 \tabularnewline
60 & 0.417006 & 0.834012 & 0.582994 \tabularnewline
61 & 0.399701 & 0.799401 & 0.600299 \tabularnewline
62 & 0.369732 & 0.739464 & 0.630268 \tabularnewline
63 & 0.380444 & 0.760887 & 0.619556 \tabularnewline
64 & 0.359104 & 0.718208 & 0.640896 \tabularnewline
65 & 0.341453 & 0.682907 & 0.658547 \tabularnewline
66 & 0.313467 & 0.626935 & 0.686533 \tabularnewline
67 & 0.379743 & 0.759485 & 0.620257 \tabularnewline
68 & 0.382724 & 0.765447 & 0.617276 \tabularnewline
69 & 0.434558 & 0.869117 & 0.565442 \tabularnewline
70 & 0.408857 & 0.817714 & 0.591143 \tabularnewline
71 & 0.388231 & 0.776463 & 0.611769 \tabularnewline
72 & 0.353049 & 0.706098 & 0.646951 \tabularnewline
73 & 0.328697 & 0.657394 & 0.671303 \tabularnewline
74 & 0.353237 & 0.706474 & 0.646763 \tabularnewline
75 & 0.437219 & 0.874438 & 0.562781 \tabularnewline
76 & 0.605573 & 0.788855 & 0.394427 \tabularnewline
77 & 0.601916 & 0.796168 & 0.398084 \tabularnewline
78 & 0.566078 & 0.867843 & 0.433922 \tabularnewline
79 & 0.569535 & 0.86093 & 0.430465 \tabularnewline
80 & 0.571653 & 0.856694 & 0.428347 \tabularnewline
81 & 0.55786 & 0.884279 & 0.44214 \tabularnewline
82 & 0.571503 & 0.856994 & 0.428497 \tabularnewline
83 & 0.560617 & 0.878765 & 0.439383 \tabularnewline
84 & 0.539867 & 0.920265 & 0.460133 \tabularnewline
85 & 0.520617 & 0.958766 & 0.479383 \tabularnewline
86 & 0.504676 & 0.990647 & 0.495324 \tabularnewline
87 & 0.472063 & 0.944125 & 0.527937 \tabularnewline
88 & 0.452633 & 0.905267 & 0.547367 \tabularnewline
89 & 0.437717 & 0.875433 & 0.562283 \tabularnewline
90 & 0.471015 & 0.94203 & 0.528985 \tabularnewline
91 & 0.436631 & 0.873262 & 0.563369 \tabularnewline
92 & 0.430511 & 0.861022 & 0.569489 \tabularnewline
93 & 0.42265 & 0.845299 & 0.57735 \tabularnewline
94 & 0.409667 & 0.819334 & 0.590333 \tabularnewline
95 & 0.387871 & 0.775742 & 0.612129 \tabularnewline
96 & 0.382191 & 0.764381 & 0.617809 \tabularnewline
97 & 0.349838 & 0.699676 & 0.650162 \tabularnewline
98 & 0.326371 & 0.652742 & 0.673629 \tabularnewline
99 & 0.303357 & 0.606713 & 0.696643 \tabularnewline
100 & 0.294864 & 0.589728 & 0.705136 \tabularnewline
101 & 0.278848 & 0.557696 & 0.721152 \tabularnewline
102 & 0.263102 & 0.526204 & 0.736898 \tabularnewline
103 & 0.280313 & 0.560626 & 0.719687 \tabularnewline
104 & 0.258747 & 0.517493 & 0.741253 \tabularnewline
105 & 0.231136 & 0.462273 & 0.768864 \tabularnewline
106 & 0.238275 & 0.476551 & 0.761725 \tabularnewline
107 & 0.213602 & 0.427203 & 0.786398 \tabularnewline
108 & 0.236046 & 0.472091 & 0.763954 \tabularnewline
109 & 0.220742 & 0.441484 & 0.779258 \tabularnewline
110 & 0.196003 & 0.392006 & 0.803997 \tabularnewline
111 & 0.179265 & 0.358531 & 0.820735 \tabularnewline
112 & 0.183557 & 0.367115 & 0.816443 \tabularnewline
113 & 0.171711 & 0.343422 & 0.828289 \tabularnewline
114 & 0.162073 & 0.324147 & 0.837927 \tabularnewline
115 & 0.140648 & 0.281297 & 0.859352 \tabularnewline
116 & 0.125367 & 0.250733 & 0.874633 \tabularnewline
117 & 0.11307 & 0.22614 & 0.88693 \tabularnewline
118 & 0.0985546 & 0.197109 & 0.901445 \tabularnewline
119 & 0.0873058 & 0.174612 & 0.912694 \tabularnewline
120 & 0.0821794 & 0.164359 & 0.917821 \tabularnewline
121 & 0.0725036 & 0.145007 & 0.927496 \tabularnewline
122 & 0.0624567 & 0.124913 & 0.937543 \tabularnewline
123 & 0.0597846 & 0.119569 & 0.940215 \tabularnewline
124 & 0.0533381 & 0.106676 & 0.946662 \tabularnewline
125 & 0.0481218 & 0.0962437 & 0.951878 \tabularnewline
126 & 0.0573622 & 0.114724 & 0.942638 \tabularnewline
127 & 0.0519729 & 0.103946 & 0.948027 \tabularnewline
128 & 0.0436029 & 0.0872058 & 0.956397 \tabularnewline
129 & 0.0413185 & 0.0826369 & 0.958682 \tabularnewline
130 & 0.0382516 & 0.0765031 & 0.961748 \tabularnewline
131 & 0.0327821 & 0.0655642 & 0.967218 \tabularnewline
132 & 0.0712518 & 0.142504 & 0.928748 \tabularnewline
133 & 0.0601092 & 0.120218 & 0.939891 \tabularnewline
134 & 0.0795531 & 0.159106 & 0.920447 \tabularnewline
135 & 0.112912 & 0.225824 & 0.887088 \tabularnewline
136 & 0.112625 & 0.22525 & 0.887375 \tabularnewline
137 & 0.10722 & 0.21444 & 0.89278 \tabularnewline
138 & 0.16088 & 0.32176 & 0.83912 \tabularnewline
139 & 0.147354 & 0.294709 & 0.852646 \tabularnewline
140 & 0.128475 & 0.256951 & 0.871525 \tabularnewline
141 & 0.117328 & 0.234656 & 0.882672 \tabularnewline
142 & 0.130555 & 0.26111 & 0.869445 \tabularnewline
143 & 0.117524 & 0.235049 & 0.882476 \tabularnewline
144 & 0.123421 & 0.246843 & 0.876579 \tabularnewline
145 & 0.137891 & 0.275782 & 0.862109 \tabularnewline
146 & 0.129012 & 0.258025 & 0.870988 \tabularnewline
147 & 0.111193 & 0.222387 & 0.888807 \tabularnewline
148 & 0.118946 & 0.237891 & 0.881054 \tabularnewline
149 & 0.109498 & 0.218996 & 0.890502 \tabularnewline
150 & 0.107014 & 0.214027 & 0.892986 \tabularnewline
151 & 0.0915353 & 0.183071 & 0.908465 \tabularnewline
152 & 0.151318 & 0.302637 & 0.848682 \tabularnewline
153 & 0.137406 & 0.274812 & 0.862594 \tabularnewline
154 & 0.140933 & 0.281866 & 0.859067 \tabularnewline
155 & 0.157641 & 0.315282 & 0.842359 \tabularnewline
156 & 0.152794 & 0.305588 & 0.847206 \tabularnewline
157 & 0.134887 & 0.269774 & 0.865113 \tabularnewline
158 & 0.140148 & 0.280297 & 0.859852 \tabularnewline
159 & 0.126139 & 0.252278 & 0.873861 \tabularnewline
160 & 0.153599 & 0.307199 & 0.846401 \tabularnewline
161 & 0.146898 & 0.293796 & 0.853102 \tabularnewline
162 & 0.142559 & 0.285118 & 0.857441 \tabularnewline
163 & 0.208762 & 0.417523 & 0.791238 \tabularnewline
164 & 0.202082 & 0.404164 & 0.797918 \tabularnewline
165 & 0.188352 & 0.376704 & 0.811648 \tabularnewline
166 & 0.183998 & 0.367996 & 0.816002 \tabularnewline
167 & 0.165773 & 0.331546 & 0.834227 \tabularnewline
168 & 0.151497 & 0.302995 & 0.848503 \tabularnewline
169 & 0.156645 & 0.31329 & 0.843355 \tabularnewline
170 & 0.144665 & 0.289329 & 0.855335 \tabularnewline
171 & 0.127881 & 0.255761 & 0.872119 \tabularnewline
172 & 0.117192 & 0.234385 & 0.882808 \tabularnewline
173 & 0.248082 & 0.496163 & 0.751918 \tabularnewline
174 & 0.240437 & 0.480874 & 0.759563 \tabularnewline
175 & 0.225667 & 0.451335 & 0.774333 \tabularnewline
176 & 0.215661 & 0.431321 & 0.784339 \tabularnewline
177 & 0.211825 & 0.423651 & 0.788175 \tabularnewline
178 & 0.229667 & 0.459333 & 0.770333 \tabularnewline
179 & 0.209644 & 0.419288 & 0.790356 \tabularnewline
180 & 0.202157 & 0.404313 & 0.797843 \tabularnewline
181 & 0.192341 & 0.384682 & 0.807659 \tabularnewline
182 & 0.248558 & 0.497116 & 0.751442 \tabularnewline
183 & 0.317627 & 0.635253 & 0.682373 \tabularnewline
184 & 0.297416 & 0.594831 & 0.702584 \tabularnewline
185 & 0.349712 & 0.699425 & 0.650288 \tabularnewline
186 & 0.316435 & 0.632871 & 0.683565 \tabularnewline
187 & 0.289732 & 0.579464 & 0.710268 \tabularnewline
188 & 0.261919 & 0.523837 & 0.738081 \tabularnewline
189 & 0.24705 & 0.494101 & 0.75295 \tabularnewline
190 & 0.299513 & 0.599026 & 0.700487 \tabularnewline
191 & 0.268578 & 0.537157 & 0.731422 \tabularnewline
192 & 0.266043 & 0.532086 & 0.733957 \tabularnewline
193 & 0.283489 & 0.566977 & 0.716511 \tabularnewline
194 & 0.302296 & 0.604592 & 0.697704 \tabularnewline
195 & 0.274899 & 0.549797 & 0.725101 \tabularnewline
196 & 0.249798 & 0.499596 & 0.750202 \tabularnewline
197 & 0.259807 & 0.519615 & 0.740193 \tabularnewline
198 & 0.24472 & 0.48944 & 0.75528 \tabularnewline
199 & 0.354071 & 0.708141 & 0.645929 \tabularnewline
200 & 0.382505 & 0.765009 & 0.617495 \tabularnewline
201 & 0.367417 & 0.734835 & 0.632583 \tabularnewline
202 & 0.38633 & 0.772659 & 0.61367 \tabularnewline
203 & 0.401397 & 0.802794 & 0.598603 \tabularnewline
204 & 0.551615 & 0.89677 & 0.448385 \tabularnewline
205 & 0.518349 & 0.963301 & 0.481651 \tabularnewline
206 & 0.483526 & 0.967052 & 0.516474 \tabularnewline
207 & 0.512175 & 0.975649 & 0.487825 \tabularnewline
208 & 0.477037 & 0.954073 & 0.522963 \tabularnewline
209 & 0.435496 & 0.870991 & 0.564504 \tabularnewline
210 & 0.436252 & 0.872503 & 0.563748 \tabularnewline
211 & 0.404193 & 0.808386 & 0.595807 \tabularnewline
212 & 0.389841 & 0.779682 & 0.610159 \tabularnewline
213 & 0.399166 & 0.798331 & 0.600834 \tabularnewline
214 & 0.407122 & 0.814244 & 0.592878 \tabularnewline
215 & 0.379083 & 0.758165 & 0.620917 \tabularnewline
216 & 0.539545 & 0.920909 & 0.460455 \tabularnewline
217 & 0.645865 & 0.70827 & 0.354135 \tabularnewline
218 & 0.615634 & 0.768733 & 0.384366 \tabularnewline
219 & 0.578849 & 0.842302 & 0.421151 \tabularnewline
220 & 0.556041 & 0.887918 & 0.443959 \tabularnewline
221 & 0.620922 & 0.758157 & 0.379078 \tabularnewline
222 & 0.582393 & 0.835215 & 0.417607 \tabularnewline
223 & 0.537171 & 0.925658 & 0.462829 \tabularnewline
224 & 0.715762 & 0.568476 & 0.284238 \tabularnewline
225 & 0.683088 & 0.633824 & 0.316912 \tabularnewline
226 & 0.641913 & 0.716173 & 0.358087 \tabularnewline
227 & 0.593545 & 0.81291 & 0.406455 \tabularnewline
228 & 0.603794 & 0.792412 & 0.396206 \tabularnewline
229 & 0.562622 & 0.874757 & 0.437378 \tabularnewline
230 & 0.512655 & 0.97469 & 0.487345 \tabularnewline
231 & 0.538074 & 0.923851 & 0.461926 \tabularnewline
232 & 0.524113 & 0.951774 & 0.475887 \tabularnewline
233 & 0.487947 & 0.975894 & 0.512053 \tabularnewline
234 & 0.436139 & 0.872279 & 0.563861 \tabularnewline
235 & 0.382321 & 0.764641 & 0.617679 \tabularnewline
236 & 0.351185 & 0.702369 & 0.648815 \tabularnewline
237 & 0.34727 & 0.69454 & 0.65273 \tabularnewline
238 & 0.317328 & 0.634656 & 0.682672 \tabularnewline
239 & 0.403872 & 0.807745 & 0.596128 \tabularnewline
240 & 0.563748 & 0.872505 & 0.436252 \tabularnewline
241 & 0.505354 & 0.989292 & 0.494646 \tabularnewline
242 & 0.503038 & 0.993924 & 0.496962 \tabularnewline
243 & 0.477655 & 0.95531 & 0.522345 \tabularnewline
244 & 0.678743 & 0.642514 & 0.321257 \tabularnewline
245 & 0.764081 & 0.471837 & 0.235919 \tabularnewline
246 & 0.821161 & 0.357679 & 0.178839 \tabularnewline
247 & 0.785125 & 0.42975 & 0.214875 \tabularnewline
248 & 0.807649 & 0.384701 & 0.192351 \tabularnewline
249 & 0.797433 & 0.405134 & 0.202567 \tabularnewline
250 & 0.737251 & 0.525498 & 0.262749 \tabularnewline
251 & 0.669624 & 0.660752 & 0.330376 \tabularnewline
252 & 0.590115 & 0.81977 & 0.409885 \tabularnewline
253 & 0.589677 & 0.820645 & 0.410323 \tabularnewline
254 & 0.499504 & 0.999008 & 0.500496 \tabularnewline
255 & 0.552676 & 0.894648 & 0.447324 \tabularnewline
256 & 0.490868 & 0.981737 & 0.509132 \tabularnewline
257 & 0.39653 & 0.79306 & 0.60347 \tabularnewline
258 & 0.729685 & 0.54063 & 0.270315 \tabularnewline
259 & 0.660359 & 0.679282 & 0.339641 \tabularnewline
260 & 0.54793 & 0.904141 & 0.45207 \tabularnewline
261 & 0.355838 & 0.711677 & 0.644162 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265218&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]17[/C][C]0.82692[/C][C]0.346161[/C][C]0.17308[/C][/ROW]
[ROW][C]18[/C][C]0.742436[/C][C]0.515128[/C][C]0.257564[/C][/ROW]
[ROW][C]19[/C][C]0.697573[/C][C]0.604855[/C][C]0.302427[/C][/ROW]
[ROW][C]20[/C][C]0.971162[/C][C]0.0576757[/C][C]0.0288379[/C][/ROW]
[ROW][C]21[/C][C]0.94968[/C][C]0.10064[/C][C]0.05032[/C][/ROW]
[ROW][C]22[/C][C]0.919669[/C][C]0.160661[/C][C]0.0803307[/C][/ROW]
[ROW][C]23[/C][C]0.885431[/C][C]0.229138[/C][C]0.114569[/C][/ROW]
[ROW][C]24[/C][C]0.86142[/C][C]0.277161[/C][C]0.13858[/C][/ROW]
[ROW][C]25[/C][C]0.859897[/C][C]0.280206[/C][C]0.140103[/C][/ROW]
[ROW][C]26[/C][C]0.945644[/C][C]0.108711[/C][C]0.0543557[/C][/ROW]
[ROW][C]27[/C][C]0.920808[/C][C]0.158385[/C][C]0.0791924[/C][/ROW]
[ROW][C]28[/C][C]0.89031[/C][C]0.21938[/C][C]0.10969[/C][/ROW]
[ROW][C]29[/C][C]0.936293[/C][C]0.127414[/C][C]0.0637069[/C][/ROW]
[ROW][C]30[/C][C]0.911807[/C][C]0.176387[/C][C]0.0881934[/C][/ROW]
[ROW][C]31[/C][C]0.951627[/C][C]0.0967465[/C][C]0.0483732[/C][/ROW]
[ROW][C]32[/C][C]0.939161[/C][C]0.121679[/C][C]0.0608394[/C][/ROW]
[ROW][C]33[/C][C]0.92087[/C][C]0.158261[/C][C]0.0791303[/C][/ROW]
[ROW][C]34[/C][C]0.903356[/C][C]0.193287[/C][C]0.0966437[/C][/ROW]
[ROW][C]35[/C][C]0.876201[/C][C]0.247599[/C][C]0.123799[/C][/ROW]
[ROW][C]36[/C][C]0.846336[/C][C]0.307328[/C][C]0.153664[/C][/ROW]
[ROW][C]37[/C][C]0.835861[/C][C]0.328278[/C][C]0.164139[/C][/ROW]
[ROW][C]38[/C][C]0.855551[/C][C]0.288898[/C][C]0.144449[/C][/ROW]
[ROW][C]39[/C][C]0.823796[/C][C]0.352408[/C][C]0.176204[/C][/ROW]
[ROW][C]40[/C][C]0.825155[/C][C]0.34969[/C][C]0.174845[/C][/ROW]
[ROW][C]41[/C][C]0.794842[/C][C]0.410315[/C][C]0.205158[/C][/ROW]
[ROW][C]42[/C][C]0.766081[/C][C]0.467838[/C][C]0.233919[/C][/ROW]
[ROW][C]43[/C][C]0.726283[/C][C]0.547434[/C][C]0.273717[/C][/ROW]
[ROW][C]44[/C][C]0.711986[/C][C]0.576029[/C][C]0.288014[/C][/ROW]
[ROW][C]45[/C][C]0.688025[/C][C]0.62395[/C][C]0.311975[/C][/ROW]
[ROW][C]46[/C][C]0.649297[/C][C]0.701406[/C][C]0.350703[/C][/ROW]
[ROW][C]47[/C][C]0.6239[/C][C]0.7522[/C][C]0.3761[/C][/ROW]
[ROW][C]48[/C][C]0.599514[/C][C]0.800971[/C][C]0.400486[/C][/ROW]
[ROW][C]49[/C][C]0.597048[/C][C]0.805905[/C][C]0.402952[/C][/ROW]
[ROW][C]50[/C][C]0.570577[/C][C]0.858847[/C][C]0.429423[/C][/ROW]
[ROW][C]51[/C][C]0.527173[/C][C]0.945654[/C][C]0.472827[/C][/ROW]
[ROW][C]52[/C][C]0.478963[/C][C]0.957926[/C][C]0.521037[/C][/ROW]
[ROW][C]53[/C][C]0.459297[/C][C]0.918595[/C][C]0.540703[/C][/ROW]
[ROW][C]54[/C][C]0.475728[/C][C]0.951455[/C][C]0.524272[/C][/ROW]
[ROW][C]55[/C][C]0.576125[/C][C]0.84775[/C][C]0.423875[/C][/ROW]
[ROW][C]56[/C][C]0.552205[/C][C]0.89559[/C][C]0.447795[/C][/ROW]
[ROW][C]57[/C][C]0.530401[/C][C]0.939197[/C][C]0.469599[/C][/ROW]
[ROW][C]58[/C][C]0.483312[/C][C]0.966623[/C][C]0.516688[/C][/ROW]
[ROW][C]59[/C][C]0.458326[/C][C]0.916653[/C][C]0.541674[/C][/ROW]
[ROW][C]60[/C][C]0.417006[/C][C]0.834012[/C][C]0.582994[/C][/ROW]
[ROW][C]61[/C][C]0.399701[/C][C]0.799401[/C][C]0.600299[/C][/ROW]
[ROW][C]62[/C][C]0.369732[/C][C]0.739464[/C][C]0.630268[/C][/ROW]
[ROW][C]63[/C][C]0.380444[/C][C]0.760887[/C][C]0.619556[/C][/ROW]
[ROW][C]64[/C][C]0.359104[/C][C]0.718208[/C][C]0.640896[/C][/ROW]
[ROW][C]65[/C][C]0.341453[/C][C]0.682907[/C][C]0.658547[/C][/ROW]
[ROW][C]66[/C][C]0.313467[/C][C]0.626935[/C][C]0.686533[/C][/ROW]
[ROW][C]67[/C][C]0.379743[/C][C]0.759485[/C][C]0.620257[/C][/ROW]
[ROW][C]68[/C][C]0.382724[/C][C]0.765447[/C][C]0.617276[/C][/ROW]
[ROW][C]69[/C][C]0.434558[/C][C]0.869117[/C][C]0.565442[/C][/ROW]
[ROW][C]70[/C][C]0.408857[/C][C]0.817714[/C][C]0.591143[/C][/ROW]
[ROW][C]71[/C][C]0.388231[/C][C]0.776463[/C][C]0.611769[/C][/ROW]
[ROW][C]72[/C][C]0.353049[/C][C]0.706098[/C][C]0.646951[/C][/ROW]
[ROW][C]73[/C][C]0.328697[/C][C]0.657394[/C][C]0.671303[/C][/ROW]
[ROW][C]74[/C][C]0.353237[/C][C]0.706474[/C][C]0.646763[/C][/ROW]
[ROW][C]75[/C][C]0.437219[/C][C]0.874438[/C][C]0.562781[/C][/ROW]
[ROW][C]76[/C][C]0.605573[/C][C]0.788855[/C][C]0.394427[/C][/ROW]
[ROW][C]77[/C][C]0.601916[/C][C]0.796168[/C][C]0.398084[/C][/ROW]
[ROW][C]78[/C][C]0.566078[/C][C]0.867843[/C][C]0.433922[/C][/ROW]
[ROW][C]79[/C][C]0.569535[/C][C]0.86093[/C][C]0.430465[/C][/ROW]
[ROW][C]80[/C][C]0.571653[/C][C]0.856694[/C][C]0.428347[/C][/ROW]
[ROW][C]81[/C][C]0.55786[/C][C]0.884279[/C][C]0.44214[/C][/ROW]
[ROW][C]82[/C][C]0.571503[/C][C]0.856994[/C][C]0.428497[/C][/ROW]
[ROW][C]83[/C][C]0.560617[/C][C]0.878765[/C][C]0.439383[/C][/ROW]
[ROW][C]84[/C][C]0.539867[/C][C]0.920265[/C][C]0.460133[/C][/ROW]
[ROW][C]85[/C][C]0.520617[/C][C]0.958766[/C][C]0.479383[/C][/ROW]
[ROW][C]86[/C][C]0.504676[/C][C]0.990647[/C][C]0.495324[/C][/ROW]
[ROW][C]87[/C][C]0.472063[/C][C]0.944125[/C][C]0.527937[/C][/ROW]
[ROW][C]88[/C][C]0.452633[/C][C]0.905267[/C][C]0.547367[/C][/ROW]
[ROW][C]89[/C][C]0.437717[/C][C]0.875433[/C][C]0.562283[/C][/ROW]
[ROW][C]90[/C][C]0.471015[/C][C]0.94203[/C][C]0.528985[/C][/ROW]
[ROW][C]91[/C][C]0.436631[/C][C]0.873262[/C][C]0.563369[/C][/ROW]
[ROW][C]92[/C][C]0.430511[/C][C]0.861022[/C][C]0.569489[/C][/ROW]
[ROW][C]93[/C][C]0.42265[/C][C]0.845299[/C][C]0.57735[/C][/ROW]
[ROW][C]94[/C][C]0.409667[/C][C]0.819334[/C][C]0.590333[/C][/ROW]
[ROW][C]95[/C][C]0.387871[/C][C]0.775742[/C][C]0.612129[/C][/ROW]
[ROW][C]96[/C][C]0.382191[/C][C]0.764381[/C][C]0.617809[/C][/ROW]
[ROW][C]97[/C][C]0.349838[/C][C]0.699676[/C][C]0.650162[/C][/ROW]
[ROW][C]98[/C][C]0.326371[/C][C]0.652742[/C][C]0.673629[/C][/ROW]
[ROW][C]99[/C][C]0.303357[/C][C]0.606713[/C][C]0.696643[/C][/ROW]
[ROW][C]100[/C][C]0.294864[/C][C]0.589728[/C][C]0.705136[/C][/ROW]
[ROW][C]101[/C][C]0.278848[/C][C]0.557696[/C][C]0.721152[/C][/ROW]
[ROW][C]102[/C][C]0.263102[/C][C]0.526204[/C][C]0.736898[/C][/ROW]
[ROW][C]103[/C][C]0.280313[/C][C]0.560626[/C][C]0.719687[/C][/ROW]
[ROW][C]104[/C][C]0.258747[/C][C]0.517493[/C][C]0.741253[/C][/ROW]
[ROW][C]105[/C][C]0.231136[/C][C]0.462273[/C][C]0.768864[/C][/ROW]
[ROW][C]106[/C][C]0.238275[/C][C]0.476551[/C][C]0.761725[/C][/ROW]
[ROW][C]107[/C][C]0.213602[/C][C]0.427203[/C][C]0.786398[/C][/ROW]
[ROW][C]108[/C][C]0.236046[/C][C]0.472091[/C][C]0.763954[/C][/ROW]
[ROW][C]109[/C][C]0.220742[/C][C]0.441484[/C][C]0.779258[/C][/ROW]
[ROW][C]110[/C][C]0.196003[/C][C]0.392006[/C][C]0.803997[/C][/ROW]
[ROW][C]111[/C][C]0.179265[/C][C]0.358531[/C][C]0.820735[/C][/ROW]
[ROW][C]112[/C][C]0.183557[/C][C]0.367115[/C][C]0.816443[/C][/ROW]
[ROW][C]113[/C][C]0.171711[/C][C]0.343422[/C][C]0.828289[/C][/ROW]
[ROW][C]114[/C][C]0.162073[/C][C]0.324147[/C][C]0.837927[/C][/ROW]
[ROW][C]115[/C][C]0.140648[/C][C]0.281297[/C][C]0.859352[/C][/ROW]
[ROW][C]116[/C][C]0.125367[/C][C]0.250733[/C][C]0.874633[/C][/ROW]
[ROW][C]117[/C][C]0.11307[/C][C]0.22614[/C][C]0.88693[/C][/ROW]
[ROW][C]118[/C][C]0.0985546[/C][C]0.197109[/C][C]0.901445[/C][/ROW]
[ROW][C]119[/C][C]0.0873058[/C][C]0.174612[/C][C]0.912694[/C][/ROW]
[ROW][C]120[/C][C]0.0821794[/C][C]0.164359[/C][C]0.917821[/C][/ROW]
[ROW][C]121[/C][C]0.0725036[/C][C]0.145007[/C][C]0.927496[/C][/ROW]
[ROW][C]122[/C][C]0.0624567[/C][C]0.124913[/C][C]0.937543[/C][/ROW]
[ROW][C]123[/C][C]0.0597846[/C][C]0.119569[/C][C]0.940215[/C][/ROW]
[ROW][C]124[/C][C]0.0533381[/C][C]0.106676[/C][C]0.946662[/C][/ROW]
[ROW][C]125[/C][C]0.0481218[/C][C]0.0962437[/C][C]0.951878[/C][/ROW]
[ROW][C]126[/C][C]0.0573622[/C][C]0.114724[/C][C]0.942638[/C][/ROW]
[ROW][C]127[/C][C]0.0519729[/C][C]0.103946[/C][C]0.948027[/C][/ROW]
[ROW][C]128[/C][C]0.0436029[/C][C]0.0872058[/C][C]0.956397[/C][/ROW]
[ROW][C]129[/C][C]0.0413185[/C][C]0.0826369[/C][C]0.958682[/C][/ROW]
[ROW][C]130[/C][C]0.0382516[/C][C]0.0765031[/C][C]0.961748[/C][/ROW]
[ROW][C]131[/C][C]0.0327821[/C][C]0.0655642[/C][C]0.967218[/C][/ROW]
[ROW][C]132[/C][C]0.0712518[/C][C]0.142504[/C][C]0.928748[/C][/ROW]
[ROW][C]133[/C][C]0.0601092[/C][C]0.120218[/C][C]0.939891[/C][/ROW]
[ROW][C]134[/C][C]0.0795531[/C][C]0.159106[/C][C]0.920447[/C][/ROW]
[ROW][C]135[/C][C]0.112912[/C][C]0.225824[/C][C]0.887088[/C][/ROW]
[ROW][C]136[/C][C]0.112625[/C][C]0.22525[/C][C]0.887375[/C][/ROW]
[ROW][C]137[/C][C]0.10722[/C][C]0.21444[/C][C]0.89278[/C][/ROW]
[ROW][C]138[/C][C]0.16088[/C][C]0.32176[/C][C]0.83912[/C][/ROW]
[ROW][C]139[/C][C]0.147354[/C][C]0.294709[/C][C]0.852646[/C][/ROW]
[ROW][C]140[/C][C]0.128475[/C][C]0.256951[/C][C]0.871525[/C][/ROW]
[ROW][C]141[/C][C]0.117328[/C][C]0.234656[/C][C]0.882672[/C][/ROW]
[ROW][C]142[/C][C]0.130555[/C][C]0.26111[/C][C]0.869445[/C][/ROW]
[ROW][C]143[/C][C]0.117524[/C][C]0.235049[/C][C]0.882476[/C][/ROW]
[ROW][C]144[/C][C]0.123421[/C][C]0.246843[/C][C]0.876579[/C][/ROW]
[ROW][C]145[/C][C]0.137891[/C][C]0.275782[/C][C]0.862109[/C][/ROW]
[ROW][C]146[/C][C]0.129012[/C][C]0.258025[/C][C]0.870988[/C][/ROW]
[ROW][C]147[/C][C]0.111193[/C][C]0.222387[/C][C]0.888807[/C][/ROW]
[ROW][C]148[/C][C]0.118946[/C][C]0.237891[/C][C]0.881054[/C][/ROW]
[ROW][C]149[/C][C]0.109498[/C][C]0.218996[/C][C]0.890502[/C][/ROW]
[ROW][C]150[/C][C]0.107014[/C][C]0.214027[/C][C]0.892986[/C][/ROW]
[ROW][C]151[/C][C]0.0915353[/C][C]0.183071[/C][C]0.908465[/C][/ROW]
[ROW][C]152[/C][C]0.151318[/C][C]0.302637[/C][C]0.848682[/C][/ROW]
[ROW][C]153[/C][C]0.137406[/C][C]0.274812[/C][C]0.862594[/C][/ROW]
[ROW][C]154[/C][C]0.140933[/C][C]0.281866[/C][C]0.859067[/C][/ROW]
[ROW][C]155[/C][C]0.157641[/C][C]0.315282[/C][C]0.842359[/C][/ROW]
[ROW][C]156[/C][C]0.152794[/C][C]0.305588[/C][C]0.847206[/C][/ROW]
[ROW][C]157[/C][C]0.134887[/C][C]0.269774[/C][C]0.865113[/C][/ROW]
[ROW][C]158[/C][C]0.140148[/C][C]0.280297[/C][C]0.859852[/C][/ROW]
[ROW][C]159[/C][C]0.126139[/C][C]0.252278[/C][C]0.873861[/C][/ROW]
[ROW][C]160[/C][C]0.153599[/C][C]0.307199[/C][C]0.846401[/C][/ROW]
[ROW][C]161[/C][C]0.146898[/C][C]0.293796[/C][C]0.853102[/C][/ROW]
[ROW][C]162[/C][C]0.142559[/C][C]0.285118[/C][C]0.857441[/C][/ROW]
[ROW][C]163[/C][C]0.208762[/C][C]0.417523[/C][C]0.791238[/C][/ROW]
[ROW][C]164[/C][C]0.202082[/C][C]0.404164[/C][C]0.797918[/C][/ROW]
[ROW][C]165[/C][C]0.188352[/C][C]0.376704[/C][C]0.811648[/C][/ROW]
[ROW][C]166[/C][C]0.183998[/C][C]0.367996[/C][C]0.816002[/C][/ROW]
[ROW][C]167[/C][C]0.165773[/C][C]0.331546[/C][C]0.834227[/C][/ROW]
[ROW][C]168[/C][C]0.151497[/C][C]0.302995[/C][C]0.848503[/C][/ROW]
[ROW][C]169[/C][C]0.156645[/C][C]0.31329[/C][C]0.843355[/C][/ROW]
[ROW][C]170[/C][C]0.144665[/C][C]0.289329[/C][C]0.855335[/C][/ROW]
[ROW][C]171[/C][C]0.127881[/C][C]0.255761[/C][C]0.872119[/C][/ROW]
[ROW][C]172[/C][C]0.117192[/C][C]0.234385[/C][C]0.882808[/C][/ROW]
[ROW][C]173[/C][C]0.248082[/C][C]0.496163[/C][C]0.751918[/C][/ROW]
[ROW][C]174[/C][C]0.240437[/C][C]0.480874[/C][C]0.759563[/C][/ROW]
[ROW][C]175[/C][C]0.225667[/C][C]0.451335[/C][C]0.774333[/C][/ROW]
[ROW][C]176[/C][C]0.215661[/C][C]0.431321[/C][C]0.784339[/C][/ROW]
[ROW][C]177[/C][C]0.211825[/C][C]0.423651[/C][C]0.788175[/C][/ROW]
[ROW][C]178[/C][C]0.229667[/C][C]0.459333[/C][C]0.770333[/C][/ROW]
[ROW][C]179[/C][C]0.209644[/C][C]0.419288[/C][C]0.790356[/C][/ROW]
[ROW][C]180[/C][C]0.202157[/C][C]0.404313[/C][C]0.797843[/C][/ROW]
[ROW][C]181[/C][C]0.192341[/C][C]0.384682[/C][C]0.807659[/C][/ROW]
[ROW][C]182[/C][C]0.248558[/C][C]0.497116[/C][C]0.751442[/C][/ROW]
[ROW][C]183[/C][C]0.317627[/C][C]0.635253[/C][C]0.682373[/C][/ROW]
[ROW][C]184[/C][C]0.297416[/C][C]0.594831[/C][C]0.702584[/C][/ROW]
[ROW][C]185[/C][C]0.349712[/C][C]0.699425[/C][C]0.650288[/C][/ROW]
[ROW][C]186[/C][C]0.316435[/C][C]0.632871[/C][C]0.683565[/C][/ROW]
[ROW][C]187[/C][C]0.289732[/C][C]0.579464[/C][C]0.710268[/C][/ROW]
[ROW][C]188[/C][C]0.261919[/C][C]0.523837[/C][C]0.738081[/C][/ROW]
[ROW][C]189[/C][C]0.24705[/C][C]0.494101[/C][C]0.75295[/C][/ROW]
[ROW][C]190[/C][C]0.299513[/C][C]0.599026[/C][C]0.700487[/C][/ROW]
[ROW][C]191[/C][C]0.268578[/C][C]0.537157[/C][C]0.731422[/C][/ROW]
[ROW][C]192[/C][C]0.266043[/C][C]0.532086[/C][C]0.733957[/C][/ROW]
[ROW][C]193[/C][C]0.283489[/C][C]0.566977[/C][C]0.716511[/C][/ROW]
[ROW][C]194[/C][C]0.302296[/C][C]0.604592[/C][C]0.697704[/C][/ROW]
[ROW][C]195[/C][C]0.274899[/C][C]0.549797[/C][C]0.725101[/C][/ROW]
[ROW][C]196[/C][C]0.249798[/C][C]0.499596[/C][C]0.750202[/C][/ROW]
[ROW][C]197[/C][C]0.259807[/C][C]0.519615[/C][C]0.740193[/C][/ROW]
[ROW][C]198[/C][C]0.24472[/C][C]0.48944[/C][C]0.75528[/C][/ROW]
[ROW][C]199[/C][C]0.354071[/C][C]0.708141[/C][C]0.645929[/C][/ROW]
[ROW][C]200[/C][C]0.382505[/C][C]0.765009[/C][C]0.617495[/C][/ROW]
[ROW][C]201[/C][C]0.367417[/C][C]0.734835[/C][C]0.632583[/C][/ROW]
[ROW][C]202[/C][C]0.38633[/C][C]0.772659[/C][C]0.61367[/C][/ROW]
[ROW][C]203[/C][C]0.401397[/C][C]0.802794[/C][C]0.598603[/C][/ROW]
[ROW][C]204[/C][C]0.551615[/C][C]0.89677[/C][C]0.448385[/C][/ROW]
[ROW][C]205[/C][C]0.518349[/C][C]0.963301[/C][C]0.481651[/C][/ROW]
[ROW][C]206[/C][C]0.483526[/C][C]0.967052[/C][C]0.516474[/C][/ROW]
[ROW][C]207[/C][C]0.512175[/C][C]0.975649[/C][C]0.487825[/C][/ROW]
[ROW][C]208[/C][C]0.477037[/C][C]0.954073[/C][C]0.522963[/C][/ROW]
[ROW][C]209[/C][C]0.435496[/C][C]0.870991[/C][C]0.564504[/C][/ROW]
[ROW][C]210[/C][C]0.436252[/C][C]0.872503[/C][C]0.563748[/C][/ROW]
[ROW][C]211[/C][C]0.404193[/C][C]0.808386[/C][C]0.595807[/C][/ROW]
[ROW][C]212[/C][C]0.389841[/C][C]0.779682[/C][C]0.610159[/C][/ROW]
[ROW][C]213[/C][C]0.399166[/C][C]0.798331[/C][C]0.600834[/C][/ROW]
[ROW][C]214[/C][C]0.407122[/C][C]0.814244[/C][C]0.592878[/C][/ROW]
[ROW][C]215[/C][C]0.379083[/C][C]0.758165[/C][C]0.620917[/C][/ROW]
[ROW][C]216[/C][C]0.539545[/C][C]0.920909[/C][C]0.460455[/C][/ROW]
[ROW][C]217[/C][C]0.645865[/C][C]0.70827[/C][C]0.354135[/C][/ROW]
[ROW][C]218[/C][C]0.615634[/C][C]0.768733[/C][C]0.384366[/C][/ROW]
[ROW][C]219[/C][C]0.578849[/C][C]0.842302[/C][C]0.421151[/C][/ROW]
[ROW][C]220[/C][C]0.556041[/C][C]0.887918[/C][C]0.443959[/C][/ROW]
[ROW][C]221[/C][C]0.620922[/C][C]0.758157[/C][C]0.379078[/C][/ROW]
[ROW][C]222[/C][C]0.582393[/C][C]0.835215[/C][C]0.417607[/C][/ROW]
[ROW][C]223[/C][C]0.537171[/C][C]0.925658[/C][C]0.462829[/C][/ROW]
[ROW][C]224[/C][C]0.715762[/C][C]0.568476[/C][C]0.284238[/C][/ROW]
[ROW][C]225[/C][C]0.683088[/C][C]0.633824[/C][C]0.316912[/C][/ROW]
[ROW][C]226[/C][C]0.641913[/C][C]0.716173[/C][C]0.358087[/C][/ROW]
[ROW][C]227[/C][C]0.593545[/C][C]0.81291[/C][C]0.406455[/C][/ROW]
[ROW][C]228[/C][C]0.603794[/C][C]0.792412[/C][C]0.396206[/C][/ROW]
[ROW][C]229[/C][C]0.562622[/C][C]0.874757[/C][C]0.437378[/C][/ROW]
[ROW][C]230[/C][C]0.512655[/C][C]0.97469[/C][C]0.487345[/C][/ROW]
[ROW][C]231[/C][C]0.538074[/C][C]0.923851[/C][C]0.461926[/C][/ROW]
[ROW][C]232[/C][C]0.524113[/C][C]0.951774[/C][C]0.475887[/C][/ROW]
[ROW][C]233[/C][C]0.487947[/C][C]0.975894[/C][C]0.512053[/C][/ROW]
[ROW][C]234[/C][C]0.436139[/C][C]0.872279[/C][C]0.563861[/C][/ROW]
[ROW][C]235[/C][C]0.382321[/C][C]0.764641[/C][C]0.617679[/C][/ROW]
[ROW][C]236[/C][C]0.351185[/C][C]0.702369[/C][C]0.648815[/C][/ROW]
[ROW][C]237[/C][C]0.34727[/C][C]0.69454[/C][C]0.65273[/C][/ROW]
[ROW][C]238[/C][C]0.317328[/C][C]0.634656[/C][C]0.682672[/C][/ROW]
[ROW][C]239[/C][C]0.403872[/C][C]0.807745[/C][C]0.596128[/C][/ROW]
[ROW][C]240[/C][C]0.563748[/C][C]0.872505[/C][C]0.436252[/C][/ROW]
[ROW][C]241[/C][C]0.505354[/C][C]0.989292[/C][C]0.494646[/C][/ROW]
[ROW][C]242[/C][C]0.503038[/C][C]0.993924[/C][C]0.496962[/C][/ROW]
[ROW][C]243[/C][C]0.477655[/C][C]0.95531[/C][C]0.522345[/C][/ROW]
[ROW][C]244[/C][C]0.678743[/C][C]0.642514[/C][C]0.321257[/C][/ROW]
[ROW][C]245[/C][C]0.764081[/C][C]0.471837[/C][C]0.235919[/C][/ROW]
[ROW][C]246[/C][C]0.821161[/C][C]0.357679[/C][C]0.178839[/C][/ROW]
[ROW][C]247[/C][C]0.785125[/C][C]0.42975[/C][C]0.214875[/C][/ROW]
[ROW][C]248[/C][C]0.807649[/C][C]0.384701[/C][C]0.192351[/C][/ROW]
[ROW][C]249[/C][C]0.797433[/C][C]0.405134[/C][C]0.202567[/C][/ROW]
[ROW][C]250[/C][C]0.737251[/C][C]0.525498[/C][C]0.262749[/C][/ROW]
[ROW][C]251[/C][C]0.669624[/C][C]0.660752[/C][C]0.330376[/C][/ROW]
[ROW][C]252[/C][C]0.590115[/C][C]0.81977[/C][C]0.409885[/C][/ROW]
[ROW][C]253[/C][C]0.589677[/C][C]0.820645[/C][C]0.410323[/C][/ROW]
[ROW][C]254[/C][C]0.499504[/C][C]0.999008[/C][C]0.500496[/C][/ROW]
[ROW][C]255[/C][C]0.552676[/C][C]0.894648[/C][C]0.447324[/C][/ROW]
[ROW][C]256[/C][C]0.490868[/C][C]0.981737[/C][C]0.509132[/C][/ROW]
[ROW][C]257[/C][C]0.39653[/C][C]0.79306[/C][C]0.60347[/C][/ROW]
[ROW][C]258[/C][C]0.729685[/C][C]0.54063[/C][C]0.270315[/C][/ROW]
[ROW][C]259[/C][C]0.660359[/C][C]0.679282[/C][C]0.339641[/C][/ROW]
[ROW][C]260[/C][C]0.54793[/C][C]0.904141[/C][C]0.45207[/C][/ROW]
[ROW][C]261[/C][C]0.355838[/C][C]0.711677[/C][C]0.644162[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265218&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265218&T=5

As an alternative you can also use a QR Code:

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

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
17	0.82692	0.346161	0.17308
18	0.742436	0.515128	0.257564
19	0.697573	0.604855	0.302427
20	0.971162	0.0576757	0.0288379
21	0.94968	0.10064	0.05032
22	0.919669	0.160661	0.0803307
23	0.885431	0.229138	0.114569
24	0.86142	0.277161	0.13858
25	0.859897	0.280206	0.140103
26	0.945644	0.108711	0.0543557
27	0.920808	0.158385	0.0791924
28	0.89031	0.21938	0.10969
29	0.936293	0.127414	0.0637069
30	0.911807	0.176387	0.0881934
31	0.951627	0.0967465	0.0483732
32	0.939161	0.121679	0.0608394
33	0.92087	0.158261	0.0791303
34	0.903356	0.193287	0.0966437
35	0.876201	0.247599	0.123799
36	0.846336	0.307328	0.153664
37	0.835861	0.328278	0.164139
38	0.855551	0.288898	0.144449
39	0.823796	0.352408	0.176204
40	0.825155	0.34969	0.174845
41	0.794842	0.410315	0.205158
42	0.766081	0.467838	0.233919
43	0.726283	0.547434	0.273717
44	0.711986	0.576029	0.288014
45	0.688025	0.62395	0.311975
46	0.649297	0.701406	0.350703
47	0.6239	0.7522	0.3761
48	0.599514	0.800971	0.400486
49	0.597048	0.805905	0.402952
50	0.570577	0.858847	0.429423
51	0.527173	0.945654	0.472827
52	0.478963	0.957926	0.521037
53	0.459297	0.918595	0.540703
54	0.475728	0.951455	0.524272
55	0.576125	0.84775	0.423875
56	0.552205	0.89559	0.447795
57	0.530401	0.939197	0.469599
58	0.483312	0.966623	0.516688
59	0.458326	0.916653	0.541674
60	0.417006	0.834012	0.582994
61	0.399701	0.799401	0.600299
62	0.369732	0.739464	0.630268
63	0.380444	0.760887	0.619556
64	0.359104	0.718208	0.640896
65	0.341453	0.682907	0.658547
66	0.313467	0.626935	0.686533
67	0.379743	0.759485	0.620257
68	0.382724	0.765447	0.617276
69	0.434558	0.869117	0.565442
70	0.408857	0.817714	0.591143
71	0.388231	0.776463	0.611769
72	0.353049	0.706098	0.646951
73	0.328697	0.657394	0.671303
74	0.353237	0.706474	0.646763
75	0.437219	0.874438	0.562781
76	0.605573	0.788855	0.394427
77	0.601916	0.796168	0.398084
78	0.566078	0.867843	0.433922
79	0.569535	0.86093	0.430465
80	0.571653	0.856694	0.428347
81	0.55786	0.884279	0.44214
82	0.571503	0.856994	0.428497
83	0.560617	0.878765	0.439383
84	0.539867	0.920265	0.460133
85	0.520617	0.958766	0.479383
86	0.504676	0.990647	0.495324
87	0.472063	0.944125	0.527937
88	0.452633	0.905267	0.547367
89	0.437717	0.875433	0.562283
90	0.471015	0.94203	0.528985
91	0.436631	0.873262	0.563369
92	0.430511	0.861022	0.569489
93	0.42265	0.845299	0.57735
94	0.409667	0.819334	0.590333
95	0.387871	0.775742	0.612129
96	0.382191	0.764381	0.617809
97	0.349838	0.699676	0.650162
98	0.326371	0.652742	0.673629
99	0.303357	0.606713	0.696643
100	0.294864	0.589728	0.705136
101	0.278848	0.557696	0.721152
102	0.263102	0.526204	0.736898
103	0.280313	0.560626	0.719687
104	0.258747	0.517493	0.741253
105	0.231136	0.462273	0.768864
106	0.238275	0.476551	0.761725
107	0.213602	0.427203	0.786398
108	0.236046	0.472091	0.763954
109	0.220742	0.441484	0.779258
110	0.196003	0.392006	0.803997
111	0.179265	0.358531	0.820735
112	0.183557	0.367115	0.816443
113	0.171711	0.343422	0.828289
114	0.162073	0.324147	0.837927
115	0.140648	0.281297	0.859352
116	0.125367	0.250733	0.874633
117	0.11307	0.22614	0.88693
118	0.0985546	0.197109	0.901445
119	0.0873058	0.174612	0.912694
120	0.0821794	0.164359	0.917821
121	0.0725036	0.145007	0.927496
122	0.0624567	0.124913	0.937543
123	0.0597846	0.119569	0.940215
124	0.0533381	0.106676	0.946662
125	0.0481218	0.0962437	0.951878
126	0.0573622	0.114724	0.942638
127	0.0519729	0.103946	0.948027
128	0.0436029	0.0872058	0.956397
129	0.0413185	0.0826369	0.958682
130	0.0382516	0.0765031	0.961748
131	0.0327821	0.0655642	0.967218
132	0.0712518	0.142504	0.928748
133	0.0601092	0.120218	0.939891
134	0.0795531	0.159106	0.920447
135	0.112912	0.225824	0.887088
136	0.112625	0.22525	0.887375
137	0.10722	0.21444	0.89278
138	0.16088	0.32176	0.83912
139	0.147354	0.294709	0.852646
140	0.128475	0.256951	0.871525
141	0.117328	0.234656	0.882672
142	0.130555	0.26111	0.869445
143	0.117524	0.235049	0.882476
144	0.123421	0.246843	0.876579
145	0.137891	0.275782	0.862109
146	0.129012	0.258025	0.870988
147	0.111193	0.222387	0.888807
148	0.118946	0.237891	0.881054
149	0.109498	0.218996	0.890502
150	0.107014	0.214027	0.892986
151	0.0915353	0.183071	0.908465
152	0.151318	0.302637	0.848682
153	0.137406	0.274812	0.862594
154	0.140933	0.281866	0.859067
155	0.157641	0.315282	0.842359
156	0.152794	0.305588	0.847206
157	0.134887	0.269774	0.865113
158	0.140148	0.280297	0.859852
159	0.126139	0.252278	0.873861
160	0.153599	0.307199	0.846401
161	0.146898	0.293796	0.853102
162	0.142559	0.285118	0.857441
163	0.208762	0.417523	0.791238
164	0.202082	0.404164	0.797918
165	0.188352	0.376704	0.811648
166	0.183998	0.367996	0.816002
167	0.165773	0.331546	0.834227
168	0.151497	0.302995	0.848503
169	0.156645	0.31329	0.843355
170	0.144665	0.289329	0.855335
171	0.127881	0.255761	0.872119
172	0.117192	0.234385	0.882808
173	0.248082	0.496163	0.751918
174	0.240437	0.480874	0.759563
175	0.225667	0.451335	0.774333
176	0.215661	0.431321	0.784339
177	0.211825	0.423651	0.788175
178	0.229667	0.459333	0.770333
179	0.209644	0.419288	0.790356
180	0.202157	0.404313	0.797843
181	0.192341	0.384682	0.807659
182	0.248558	0.497116	0.751442
183	0.317627	0.635253	0.682373
184	0.297416	0.594831	0.702584
185	0.349712	0.699425	0.650288
186	0.316435	0.632871	0.683565
187	0.289732	0.579464	0.710268
188	0.261919	0.523837	0.738081
189	0.24705	0.494101	0.75295
190	0.299513	0.599026	0.700487
191	0.268578	0.537157	0.731422
192	0.266043	0.532086	0.733957
193	0.283489	0.566977	0.716511
194	0.302296	0.604592	0.697704
195	0.274899	0.549797	0.725101
196	0.249798	0.499596	0.750202
197	0.259807	0.519615	0.740193
198	0.24472	0.48944	0.75528
199	0.354071	0.708141	0.645929
200	0.382505	0.765009	0.617495
201	0.367417	0.734835	0.632583
202	0.38633	0.772659	0.61367
203	0.401397	0.802794	0.598603
204	0.551615	0.89677	0.448385
205	0.518349	0.963301	0.481651
206	0.483526	0.967052	0.516474
207	0.512175	0.975649	0.487825
208	0.477037	0.954073	0.522963
209	0.435496	0.870991	0.564504
210	0.436252	0.872503	0.563748
211	0.404193	0.808386	0.595807
212	0.389841	0.779682	0.610159
213	0.399166	0.798331	0.600834
214	0.407122	0.814244	0.592878
215	0.379083	0.758165	0.620917
216	0.539545	0.920909	0.460455
217	0.645865	0.70827	0.354135
218	0.615634	0.768733	0.384366
219	0.578849	0.842302	0.421151
220	0.556041	0.887918	0.443959
221	0.620922	0.758157	0.379078
222	0.582393	0.835215	0.417607
223	0.537171	0.925658	0.462829
224	0.715762	0.568476	0.284238
225	0.683088	0.633824	0.316912
226	0.641913	0.716173	0.358087
227	0.593545	0.81291	0.406455
228	0.603794	0.792412	0.396206
229	0.562622	0.874757	0.437378
230	0.512655	0.97469	0.487345
231	0.538074	0.923851	0.461926
232	0.524113	0.951774	0.475887
233	0.487947	0.975894	0.512053
234	0.436139	0.872279	0.563861
235	0.382321	0.764641	0.617679
236	0.351185	0.702369	0.648815
237	0.34727	0.69454	0.65273
238	0.317328	0.634656	0.682672
239	0.403872	0.807745	0.596128
240	0.563748	0.872505	0.436252
241	0.505354	0.989292	0.494646
242	0.503038	0.993924	0.496962
243	0.477655	0.95531	0.522345
244	0.678743	0.642514	0.321257
245	0.764081	0.471837	0.235919
246	0.821161	0.357679	0.178839
247	0.785125	0.42975	0.214875
248	0.807649	0.384701	0.192351
249	0.797433	0.405134	0.202567
250	0.737251	0.525498	0.262749
251	0.669624	0.660752	0.330376
252	0.590115	0.81977	0.409885
253	0.589677	0.820645	0.410323
254	0.499504	0.999008	0.500496
255	0.552676	0.894648	0.447324
256	0.490868	0.981737	0.509132
257	0.39653	0.79306	0.60347
258	0.729685	0.54063	0.270315
259	0.660359	0.679282	0.339641
260	0.54793	0.904141	0.45207
261	0.355838	0.711677	0.644162

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	0	0	OK
10% type I error level	7	0.0285714	OK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 0 & 0 & OK \tabularnewline
10% type I error level & 7 & 0.0285714 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265218&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]7[/C][C]0.0285714[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265218&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265218&T=6

As an alternative you can also use a QR Code:

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	0	0	OK
10% type I error level	7	0.0285714	OK

Figure 1

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Figure 6

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Figure 7

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Figure 8

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Figure 9

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Figure 10

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Parameters (Session):

par1 = 12 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

Parameters (R input):

par1 = 12 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

R code (references can be found in the software module):

library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code