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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_regression_trees1.wasp

Title produced by software

Recursive Partitioning (Regression Trees)

Date of computation

Wed, 27 Nov 2013 07:00:26 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Nov/27/t1385553645cp554uaityi1rma.htm/, Retrieved Mon, 29 Apr 2024 08:46:50 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=228969, Retrieved Mon, 29 Apr 2024 08:46:50 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

112

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

-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 18:59:57] [b98453cac15ba1066b407e146608df68]
- R PD    [Recursive Partitioning (Regression Trees)] [dsqsq] [2013-11-27 12:00:26] [e931f330ae8eb739e69629b6955c783c] [Current]

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Dataseries X:

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Histogram

Boxplots

41 38 13 12 14 12 53 32
39 32 16 11 18 11 83 51
30 35 19 15 11 14 66 42
31 33 15 6 12 12 67 41
34 37 14 13 16 21 76 46
35 29 13 10 18 12 78 47
39 31 19 12 14 22 53 37
34 36 15 14 14 11 80 49
36 35 14 12 15 10 74 45
37 38 15 9 15 13 76 47
38 31 16 10 17 10 79 49
36 34 16 12 19 8 54 33
38 35 16 12 10 15 67 42
39 38 16 11 16 14 54 33
33 37 17 15 18 10 87 53
32 33 15 12 14 14 58 36
36 32 15 10 14 14 75 45
38 38 20 12 17 11 88 54
39 38 18 11 14 10 64 41
32 32 16 12 16 13 57 36
32 33 16 11 18 9.5 66 41
31 31 16 12 11 14 68 44
39 38 19 13 14 12 54 33
37 39 16 11 12 14 56 37
39 32 17 12 17 11 86 52
41 32 17 13 9 9 80 47
36 35 16 10 16 11 76 43
33 37 15 14 14 15 69 44
33 33 16 12 15 14 78 45
34 33 14 10 11 13 67 44
31 31 15 12 16 9 80 49
27 32 12 8 13 15 54 33
37 31 14 10 17 10 71 43
34 37 16 12 15 11 84 54
34 30 14 12 14 13 74 42
32 33 10 7 16 8 71 44
29 31 10 9 9 20 63 37
36 33 14 12 15 12 71 43
29 31 16 10 17 10 76 46
35 33 16 10 13 10 69 42
37 32 16 10 15 9 74 45
34 33 14 12 16 14 75 44
38 32 20 15 16 8 54 33
35 33 14 10 12 14 52 31
38 28 14 10 15 11 69 42
37 35 11 12 11 13 68 40
38 39 14 13 15 9 65 43
33 34 15 11 15 11 75 46
36 38 16 11 17 15 74 42
38 32 14 12 13 11 75 45
32 38 16 14 16 10 72 44
32 30 14 10 14 14 67 40
32 33 12 12 11 18 63 37
34 38 16 13 12 14 62 46
32 32 9 5 12 11 63 36
37 35 14 6 15 14.5 76 47
39 34 16 12 16 13 74 45
29 34 16 12 15 9 67 42
37 36 15 11 12 10 73 43
35 34 16 10 12 15 70 43
30 28 12 7 8 20 53 32
38 34 16 12 13 12 77 45
34 35 16 14 11 12 80 48
31 35 14 11 14 14 52 31
34 31 16 12 15 13 54 33
35 37 17 13 10 11 80 49
36 35 18 14 11 17 66 42
30 27 18 11 12 12 73 41
39 40 12 12 15 13 63 38
35 37 16 12 15 14 69 42
38 36 10 8 14 13 67 44
31 38 14 11 16 15 54 33
34 39 18 14 15 13 81 48
38 41 18 14 15 10 69 40
34 27 16 12 13 11 84 50
39 30 17 9 12 19 80 49
37 37 16 13 17 13 70 43
34 31 16 11 13 17 69 44
28 31 13 12 15 13 77 47
37 27 16 12 13 9 54 33
33 36 16 12 15 11 79 46
35 37 16 12 15 9 71 45
37 33 15 12 16 12 73 43
32 34 15 11 15 12 72 44
33 31 16 10 14 13 77 47
38 39 14 9 15 13 75 45
33 34 16 12 14 12 69 42
29 32 16 12 13 15 54 33
33 33 15 12 7 22 70 43
31 36 12 9 17 13 73 46
36 32 17 15 13 15 54 33
35 41 16 12 15 13 77 46
32 28 15 12 14 15 82 48
29 30 13 12 13 12.5 80 47
39 36 16 10 16 11 80 47
37 35 16 13 12 16 69 43
35 31 16 9 14 11 78 46
37 34 16 12 17 11 81 48
32 36 14 10 15 10 76 46
38 36 16 14 17 10 76 45
37 35 16 11 12 16 73 45
36 37 20 15 16 12 85 52
32 28 15 11 11 11 66 42
33 39 16 11 15 16 79 47
40 32 13 12 9 19 68 41
38 35 17 12 16 11 76 47
41 39 16 12 15 16 71 43
36 35 16 11 10 15 54 33
43 42 12 7 10 24 46 30
30 34 16 12 15 14 85 52
31 33 16 14 11 15 74 44
32 41 17 11 13 11 88 55
32 33 13 11 14 15 38 11
37 34 12 10 18 12 76 47
37 32 18 13 16 10 86 53
33 40 14 13 14 14 54 33
34 40 14 8 14 13 67 44
33 35 13 11 14 9 69 42
38 36 16 12 14 15 90 55
33 37 13 11 12 15 54 33
31 27 16 13 14 14 76 46
38 39 13 12 15 11 89 54
37 38 16 14 15 8 76 47
36 31 15 13 15 11 73 45
31 33 16 15 13 11 79 47
39 32 15 10 17 8 90 55
44 39 17 11 17 10 74 44
33 36 15 9 19 11 81 53
35 33 12 11 15 13 72 44
32 33 16 10 13 11 71 42
28 32 10 11 9 20 66 40
40 37 16 8 15 10 77 46
27 30 12 11 15 15 65 40
37 38 14 12 15 12 74 46
32 29 15 12 16 14 85 53
28 22 13 9 11 23 54 33
34 35 15 11 14 14 63 42
30 35 11 10 11 16 54 35
35 34 12 8 15 11 64 40
31 35 11 9 13 12 69 41
32 34 16 8 15 10 54 33
30 37 15 9 16 14 84 51
30 35 17 15 14 12 86 53
31 23 16 11 15 12 77 46
40 31 10 8 16 11 89 55
32 27 18 13 16 12 76 47
36 36 13 12 11 13 60 38
32 31 16 12 12 11 75 46
35 32 13 9 9 19 73 46
38 39 10 7 16 12 85 53
42 37 15 13 13 17 79 47
34 38 16 9 16 9 71 41
35 39 16 6 12 12 72 44
38 34 14 8 9 19 69 43
33 31 10 8 13 18 78 51
36 32 17 15 13 15 54 33
32 37 13 6 14 14 69 43
33 36 15 9 19 11 81 53
34 32 16 11 13 9 84 51
32 38 12 8 12 18 84 50
34 36 13 8 13 16 69 46
27 26 13 10 10 24 66 43
31 26 12 8 14 14 81 47
38 33 17 14 16 20 82 50
34 39 15 10 10 18 72 43
24 30 10 8 11 23 54 33
30 33 14 11 14 12 78 48
26 25 11 12 12 14 74 44
34 38 13 12 9 16 82 50
27 37 16 12 9 18 73 41
37 31 12 5 11 20 55 34
36 37 16 12 16 12 72 44
41 35 12 10 9 12 78 47
29 25 9 7 13 17 59 35
36 28 12 12 16 13 72 44
32 35 15 11 13 9 78 44
37 33 12 8 9 16 68 43
30 30 12 9 12 18 69 41
31 31 14 10 16 10 67 41
38 37 12 9 11 14 74 42
36 36 16 12 14 11 54 33
35 30 11 6 13 9 67 41
31 36 19 15 15 11 70 44
38 32 15 12 14 10 80 48
22 28 8 12 16 11 89 55
32 36 16 12 13 19 76 44
36 34 17 11 14 14 74 43
39 31 12 7 15 12 87 52
28 28 11 7 13 14 54 30
32 36 11 5 11 21 61 39
32 36 14 12 11 13 38 11
38 40 16 12 14 10 75 44
32 33 12 3 15 15 69 42
35 37 16 11 11 16 62 41
32 32 13 10 15 14 72 44
37 38 15 12 12 12 70 44
34 31 16 9 14 19 79 48
33 37 16 12 14 15 87 53
33 33 14 9 8 19 62 37
26 32 16 12 13 13 77 44
30 30 16 12 9 17 69 44
24 30 14 10 15 12 69 40
34 31 11 9 17 11 75 42
34 32 12 12 13 14 54 35
33 34 15 8 15 11 72 43
34 36 15 11 15 13 74 45
35 37 16 11 14 12 85 55
35 36 16 12 16 15 52 31
36 33 11 10 13 14 70 44
34 33 15 10 16 12 84 50
34 33 12 12 9 17 64 40
41 44 12 12 16 11 84 53
32 39 15 11 11 18 87 54
30 32 15 8 10 13 79 49
35 35 16 12 11 17 67 40
28 25 14 10 15 13 65 41
33 35 17 11 17 11 85 52
39 34 14 10 14 12 83 52
36 35 13 8 8 22 61 36
36 39 15 12 15 14 82 52
35 33 13 12 11 12 76 46
38 36 14 10 16 12 58 31
33 32 15 12 10 17 72 44
31 32 12 9 15 9 72 44
34 36 13 9 9 21 38 11
32 36 8 6 16 10 78 46
31 32 14 10 19 11 54 33
33 34 14 9 12 12 63 34
34 33 11 9 8 23 66 42
34 35 12 9 11 13 70 43
34 30 13 6 14 12 71 43
33 38 10 10 9 16 67 44
32 34 16 6 15 9 58 36
41 33 18 14 13 17 72 46
34 32 13 10 16 9 72 44
36 31 11 10 11 14 70 43
37 30 4 6 12 17 76 50
36 27 13 12 13 13 50 33
29 31 16 12 10 11 72 43
37 30 10 7 11 12 72 44
27 32 12 8 12 10 88 53
35 35 12 11 8 19 53 34
28 28 10 3 12 16 58 35
35 33 13 6 12 16 66 40
37 31 15 10 15 14 82 53
29 35 12 8 11 20 69 42
32 35 14 9 13 15 68 43
36 32 10 9 14 23 44 29
19 21 12 8 10 20 56 36
21 20 12 9 12 16 53 30
31 34 11 7 15 14 70 42
33 32 10 7 13 17 78 47
36 34 12 6 13 11 71 44
33 32 16 9 13 13 72 45
37 33 12 10 12 17 68 44
34 33 14 11 12 15 67 43
35 37 16 12 9 21 75 43
31 32 14 8 9 18 62 40
37 34 13 11 15 15 67 41
35 30 4 3 10 8 83 52
27 30 15 11 14 12 64 38
34 38 11 12 15 12 68 41
40 36 11 7 7 22 62 39
29 32 14 9 14 12 72 43

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	15 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 15 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=228969&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]15 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=228969&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=228969&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	15 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Goodness of Fit
Correlation	0.5988
R-squared	0.3585
RMSE	1.9974

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.5988 \tabularnewline
R-squared & 0.3585 \tabularnewline
RMSE & 1.9974 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=228969&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.5988[/C][/ROW]
[ROW][C]R-squared[/C][C]0.3585[/C][/ROW]
[ROW][C]RMSE[/C][C]1.9974[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=228969&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=228969&T=1

As an alternative you can also use a QR Code:

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

Goodness of Fit
Correlation	0.5988
R-squared	0.3585
RMSE	1.9974

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	14	13.8595041322314	0.140495867768594
2	18	14.9506172839506	3.04938271604938
3	11	13.8595041322314	-2.85950413223141
4	12	13.8595041322314	-1.85950413223141
5	16	10.9516129032258	5.04838709677419
6	18	13.8595041322314	4.14049586776859
7	14	10.9516129032258	3.04838709677419
8	14	14.9506172839506	-0.950617283950617
9	15	14.9506172839506	0.0493827160493829
10	15	13.8595041322314	1.14049586776859
11	17	14.9506172839506	2.04938271604938
12	19	14.9506172839506	4.04938271604938
13	10	13.8595041322314	-3.85950413223141
14	16	13.8595041322314	2.14049586776859
15	18	14.9506172839506	3.04938271604938
16	14	13.8595041322314	0.140495867768594
17	14	13.8595041322314	0.140495867768594
18	17	14.9506172839506	2.04938271604938
19	14	14.9506172839506	-0.950617283950617
20	16	13.8595041322314	2.14049586776859
21	18	14.9506172839506	3.04938271604938
22	11	13.8595041322314	-2.85950413223141
23	14	13.8595041322314	0.140495867768594
24	12	13.8595041322314	-1.85950413223141
25	17	14.9506172839506	2.04938271604938
26	9	14.9506172839506	-5.95061728395062
27	16	14.9506172839506	1.04938271604938
28	14	13.8595041322314	0.140495867768594
29	15	13.8595041322314	1.14049586776859
30	11	13.8595041322314	-2.85950413223141
31	16	14.9506172839506	1.04938271604938
32	13	13.8595041322314	-0.859504132231406
33	17	14.9506172839506	2.04938271604938
34	15	14.9506172839506	0.0493827160493829
35	14	13.8595041322314	0.140495867768594
36	16	14.9506172839506	1.04938271604938
37	9	10.9516129032258	-1.95161290322581
38	15	13.8595041322314	1.14049586776859
39	17	14.9506172839506	2.04938271604938
40	13	14.9506172839506	-1.95061728395062
41	15	14.9506172839506	0.0493827160493829
42	16	13.8595041322314	2.14049586776859
43	16	14.9506172839506	1.04938271604938
44	12	13.8595041322314	-1.85950413223141
45	15	14.9506172839506	0.0493827160493829
46	11	13.8595041322314	-2.85950413223141
47	15	14.9506172839506	0.0493827160493829
48	15	14.9506172839506	0.0493827160493829
49	17	13.8595041322314	3.14049586776859
50	13	14.9506172839506	-1.95061728395062
51	16	14.9506172839506	1.04938271604938
52	14	13.8595041322314	0.140495867768594
53	11	10.9516129032258	0.0483870967741939
54	12	13.8595041322314	-1.85950413223141
55	12	14.9506172839506	-2.95061728395062
56	15	13.8595041322314	1.14049586776859
57	16	13.8595041322314	2.14049586776859
58	15	14.9506172839506	0.0493827160493829
59	12	14.9506172839506	-2.95061728395062
60	12	13.8595041322314	-1.85950413223141
61	8	10.9516129032258	-2.95161290322581
62	13	13.8595041322314	-0.859504132231406
63	11	13.8595041322314	-2.85950413223141
64	14	13.8595041322314	0.140495867768594
65	15	13.8595041322314	1.14049586776859
66	10	14.9506172839506	-4.95061728395062
67	11	10.9516129032258	0.0483870967741939
68	12	13.8595041322314	-1.85950413223141
69	15	13.8595041322314	1.14049586776859
70	15	13.8595041322314	1.14049586776859
71	14	13.8595041322314	0.140495867768594
72	16	13.8595041322314	2.14049586776859
73	15	13.8595041322314	1.14049586776859
74	15	14.9506172839506	0.0493827160493829
75	13	14.9506172839506	-1.95061728395062
76	12	10.9516129032258	1.04838709677419
77	17	13.8595041322314	3.14049586776859
78	13	10.9516129032258	2.04838709677419
79	15	13.8595041322314	1.14049586776859
80	13	14.9506172839506	-1.95061728395062
81	15	14.9506172839506	0.0493827160493829
82	15	14.9506172839506	0.0493827160493829
83	16	13.8595041322314	2.14049586776859
84	15	13.8595041322314	1.14049586776859
85	14	13.8595041322314	0.140495867768594
86	15	13.8595041322314	1.14049586776859
87	14	13.8595041322314	0.140495867768594
88	13	13.8595041322314	-0.859504132231406
89	7	10.9516129032258	-3.95161290322581
90	17	13.8595041322314	3.14049586776859
91	13	13.8595041322314	-0.859504132231406
92	15	13.8595041322314	1.14049586776859
93	14	13.8595041322314	0.140495867768594
94	13	13.8595041322314	-0.859504132231406
95	16	14.9506172839506	1.04938271604938
96	12	10.9516129032258	1.04838709677419
97	14	14.9506172839506	-0.950617283950617
98	17	14.9506172839506	2.04938271604938
99	15	14.9506172839506	0.0493827160493829
100	17	14.9506172839506	2.04938271604938
101	12	10.9516129032258	1.04838709677419
102	16	13.8595041322314	2.14049586776859
103	11	14.9506172839506	-3.95061728395062
104	15	10.9516129032258	4.04838709677419
105	9	10.9516129032258	-1.95161290322581
106	16	14.9506172839506	1.04938271604938
107	15	10.9516129032258	4.04838709677419
108	10	13.8595041322314	-3.85950413223141
109	10	10.9516129032258	-0.951612903225806
110	15	13.8595041322314	1.14049586776859
111	11	13.8595041322314	-2.85950413223141
112	13	14.9506172839506	-1.95061728395062
113	14	13.8595041322314	0.140495867768594
114	18	13.8595041322314	4.14049586776859
115	16	14.9506172839506	1.04938271604938
116	14	13.8595041322314	0.140495867768594
117	14	13.8595041322314	0.140495867768594
118	14	14.9506172839506	-0.950617283950617
119	14	13.8595041322314	0.140495867768594
120	12	13.8595041322314	-1.85950413223141
121	14	13.8595041322314	0.140495867768594
122	15	14.9506172839506	0.0493827160493829
123	15	14.9506172839506	0.0493827160493829
124	15	14.9506172839506	0.0493827160493829
125	13	14.9506172839506	-1.95061728395062
126	17	14.9506172839506	2.04938271604938
127	17	14.9506172839506	2.04938271604938
128	19	14.9506172839506	4.04938271604938
129	15	13.8595041322314	1.14049586776859
130	13	14.9506172839506	-1.95061728395062
131	9	10.9516129032258	-1.95161290322581
132	15	14.9506172839506	0.0493827160493829
133	15	13.8595041322314	1.14049586776859
134	15	13.8595041322314	1.14049586776859
135	16	13.8595041322314	2.14049586776859
136	11	10.9516129032258	0.0483870967741939
137	14	13.8595041322314	0.140495867768594
138	11	10.9516129032258	0.0483870967741939
139	15	14.9506172839506	0.0493827160493829
140	13	13.8595041322314	-0.859504132231406
141	15	14.9506172839506	0.0493827160493829
142	16	13.8595041322314	2.14049586776859
143	14	13.8595041322314	0.140495867768594
144	15	13.8595041322314	1.14049586776859
145	16	14.9506172839506	1.04938271604938
146	16	13.8595041322314	2.14049586776859
147	11	13.8595041322314	-2.85950413223141
148	12	14.9506172839506	-2.95061728395062
149	9	10.9516129032258	-1.95161290322581
150	16	13.8595041322314	2.14049586776859
151	13	10.9516129032258	2.04838709677419
152	16	14.9506172839506	1.04938271604938
153	12	13.8595041322314	-1.85950413223141
154	9	10.9516129032258	-1.95161290322581
155	13	10.9516129032258	2.04838709677419
156	13	13.8595041322314	-0.859504132231406
157	14	13.8595041322314	0.140495867768594
158	19	14.9506172839506	4.04938271604938
159	13	14.9506172839506	-1.95061728395062
160	12	10.9516129032258	1.04838709677419
161	13	10.9516129032258	2.04838709677419
162	10	10.9516129032258	-0.951612903225806
163	14	13.8595041322314	0.140495867768594
164	16	10.9516129032258	5.04838709677419
165	10	10.9516129032258	-0.951612903225806
166	11	10.9516129032258	0.0483870967741939
167	14	13.8595041322314	0.140495867768594
168	12	13.8595041322314	-1.85950413223141
169	9	10.9516129032258	-1.95161290322581
170	9	10.9516129032258	-1.95161290322581
171	11	10.9516129032258	0.0483870967741939
172	16	13.8595041322314	2.14049586776859
173	9	13.8595041322314	-4.85950413223141
174	13	10.9516129032258	2.04838709677419
175	16	13.8595041322314	2.14049586776859
176	13	14.9506172839506	-1.95061728395062
177	9	10.9516129032258	-1.95161290322581
178	12	10.9516129032258	1.04838709677419
179	16	14.9506172839506	1.04938271604938
180	11	13.8595041322314	-2.85950413223141
181	14	14.9506172839506	-0.950617283950617
182	13	14.9506172839506	-1.95061728395062
183	15	14.9506172839506	0.0493827160493829
184	14	14.9506172839506	-0.950617283950617
185	16	14.9506172839506	1.04938271604938
186	13	10.9516129032258	2.04838709677419
187	14	13.8595041322314	0.140495867768594
188	15	13.8595041322314	1.14049586776859
189	13	13.8595041322314	-0.859504132231406
190	11	10.9516129032258	0.0483870967741939
191	11	13.8595041322314	-2.85950413223141
192	14	14.9506172839506	-0.950617283950617
193	15	13.8595041322314	1.14049586776859
194	11	10.9516129032258	0.0483870967741939
195	15	13.8595041322314	1.14049586776859
196	12	13.8595041322314	-1.85950413223141
197	14	10.9516129032258	3.04838709677419
198	14	13.8595041322314	0.140495867768594
199	8	10.9516129032258	-2.95161290322581
200	13	13.8595041322314	-0.859504132231406
201	9	10.9516129032258	-1.95161290322581
202	15	13.8595041322314	1.14049586776859
203	17	14.9506172839506	2.04938271604938
204	13	13.8595041322314	-0.859504132231406
205	15	14.9506172839506	0.0493827160493829
206	15	13.8595041322314	1.14049586776859
207	14	13.8595041322314	0.140495867768594
208	16	13.8595041322314	2.14049586776859
209	13	13.8595041322314	-0.859504132231406
210	16	13.8595041322314	2.14049586776859
211	9	10.9516129032258	-1.95161290322581
212	16	14.9506172839506	1.04938271604938
213	11	10.9516129032258	0.0483870967741939
214	10	13.8595041322314	-3.85950413223141
215	11	10.9516129032258	0.0483870967741939
216	15	13.8595041322314	1.14049586776859
217	17	14.9506172839506	2.04938271604938
218	14	13.8595041322314	0.140495867768594
219	8	10.9516129032258	-2.95161290322581
220	15	13.8595041322314	1.14049586776859
221	11	13.8595041322314	-2.85950413223141
222	16	13.8595041322314	2.14049586776859
223	10	10.9516129032258	-0.951612903225806
224	15	14.9506172839506	0.0493827160493829
225	9	10.9516129032258	-1.95161290322581
226	16	14.9506172839506	1.04938271604938
227	19	14.9506172839506	4.04938271604938
228	12	13.8595041322314	-1.85950413223141
229	8	10.9516129032258	-2.95161290322581
230	11	13.8595041322314	-2.85950413223141
231	14	13.8595041322314	0.140495867768594
232	9	10.9516129032258	-1.95161290322581
233	15	14.9506172839506	0.0493827160493829
234	13	10.9516129032258	2.04838709677419
235	16	14.9506172839506	1.04938271604938
236	11	13.8595041322314	-2.85950413223141
237	12	10.9516129032258	1.04838709677419
238	13	13.8595041322314	-0.859504132231406
239	10	14.9506172839506	-4.95061728395062
240	11	13.8595041322314	-2.85950413223141
241	12	14.9506172839506	-2.95061728395062
242	8	10.9516129032258	-2.95161290322581
243	12	10.9516129032258	1.04838709677419
244	12	10.9516129032258	1.04838709677419
245	15	13.8595041322314	1.14049586776859
246	11	10.9516129032258	0.0483870967741939
247	13	13.8595041322314	-0.859504132231406
248	14	10.9516129032258	3.04838709677419
249	10	10.9516129032258	-0.951612903225806
250	12	10.9516129032258	1.04838709677419
251	15	13.8595041322314	1.14049586776859
252	13	10.9516129032258	2.04838709677419
253	13	14.9506172839506	-1.95061728395062
254	13	13.8595041322314	-0.859504132231406
255	12	10.9516129032258	1.04838709677419
256	12	13.8595041322314	-1.85950413223141
257	9	10.9516129032258	-1.95161290322581
258	9	10.9516129032258	-1.95161290322581
259	15	13.8595041322314	1.14049586776859
260	10	14.9506172839506	-4.95061728395062
261	14	13.8595041322314	0.140495867768594
262	15	13.8595041322314	1.14049586776859
263	7	10.9516129032258	-3.95161290322581
264	14	13.8595041322314	0.140495867768594

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
2 & 18 & 14.9506172839506 & 3.04938271604938 \tabularnewline
3 & 11 & 13.8595041322314 & -2.85950413223141 \tabularnewline
4 & 12 & 13.8595041322314 & -1.85950413223141 \tabularnewline
5 & 16 & 10.9516129032258 & 5.04838709677419 \tabularnewline
6 & 18 & 13.8595041322314 & 4.14049586776859 \tabularnewline
7 & 14 & 10.9516129032258 & 3.04838709677419 \tabularnewline
8 & 14 & 14.9506172839506 & -0.950617283950617 \tabularnewline
9 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
10 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
11 & 17 & 14.9506172839506 & 2.04938271604938 \tabularnewline
12 & 19 & 14.9506172839506 & 4.04938271604938 \tabularnewline
13 & 10 & 13.8595041322314 & -3.85950413223141 \tabularnewline
14 & 16 & 13.8595041322314 & 2.14049586776859 \tabularnewline
15 & 18 & 14.9506172839506 & 3.04938271604938 \tabularnewline
16 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
17 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
18 & 17 & 14.9506172839506 & 2.04938271604938 \tabularnewline
19 & 14 & 14.9506172839506 & -0.950617283950617 \tabularnewline
20 & 16 & 13.8595041322314 & 2.14049586776859 \tabularnewline
21 & 18 & 14.9506172839506 & 3.04938271604938 \tabularnewline
22 & 11 & 13.8595041322314 & -2.85950413223141 \tabularnewline
23 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
24 & 12 & 13.8595041322314 & -1.85950413223141 \tabularnewline
25 & 17 & 14.9506172839506 & 2.04938271604938 \tabularnewline
26 & 9 & 14.9506172839506 & -5.95061728395062 \tabularnewline
27 & 16 & 14.9506172839506 & 1.04938271604938 \tabularnewline
28 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
29 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
30 & 11 & 13.8595041322314 & -2.85950413223141 \tabularnewline
31 & 16 & 14.9506172839506 & 1.04938271604938 \tabularnewline
32 & 13 & 13.8595041322314 & -0.859504132231406 \tabularnewline
33 & 17 & 14.9506172839506 & 2.04938271604938 \tabularnewline
34 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
35 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
36 & 16 & 14.9506172839506 & 1.04938271604938 \tabularnewline
37 & 9 & 10.9516129032258 & -1.95161290322581 \tabularnewline
38 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
39 & 17 & 14.9506172839506 & 2.04938271604938 \tabularnewline
40 & 13 & 14.9506172839506 & -1.95061728395062 \tabularnewline
41 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
42 & 16 & 13.8595041322314 & 2.14049586776859 \tabularnewline
43 & 16 & 14.9506172839506 & 1.04938271604938 \tabularnewline
44 & 12 & 13.8595041322314 & -1.85950413223141 \tabularnewline
45 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
46 & 11 & 13.8595041322314 & -2.85950413223141 \tabularnewline
47 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
48 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
49 & 17 & 13.8595041322314 & 3.14049586776859 \tabularnewline
50 & 13 & 14.9506172839506 & -1.95061728395062 \tabularnewline
51 & 16 & 14.9506172839506 & 1.04938271604938 \tabularnewline
52 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
53 & 11 & 10.9516129032258 & 0.0483870967741939 \tabularnewline
54 & 12 & 13.8595041322314 & -1.85950413223141 \tabularnewline
55 & 12 & 14.9506172839506 & -2.95061728395062 \tabularnewline
56 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
57 & 16 & 13.8595041322314 & 2.14049586776859 \tabularnewline
58 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
59 & 12 & 14.9506172839506 & -2.95061728395062 \tabularnewline
60 & 12 & 13.8595041322314 & -1.85950413223141 \tabularnewline
61 & 8 & 10.9516129032258 & -2.95161290322581 \tabularnewline
62 & 13 & 13.8595041322314 & -0.859504132231406 \tabularnewline
63 & 11 & 13.8595041322314 & -2.85950413223141 \tabularnewline
64 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
65 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
66 & 10 & 14.9506172839506 & -4.95061728395062 \tabularnewline
67 & 11 & 10.9516129032258 & 0.0483870967741939 \tabularnewline
68 & 12 & 13.8595041322314 & -1.85950413223141 \tabularnewline
69 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
70 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
71 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
72 & 16 & 13.8595041322314 & 2.14049586776859 \tabularnewline
73 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
74 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
75 & 13 & 14.9506172839506 & -1.95061728395062 \tabularnewline
76 & 12 & 10.9516129032258 & 1.04838709677419 \tabularnewline
77 & 17 & 13.8595041322314 & 3.14049586776859 \tabularnewline
78 & 13 & 10.9516129032258 & 2.04838709677419 \tabularnewline
79 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
80 & 13 & 14.9506172839506 & -1.95061728395062 \tabularnewline
81 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
82 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
83 & 16 & 13.8595041322314 & 2.14049586776859 \tabularnewline
84 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
85 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
86 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
87 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
88 & 13 & 13.8595041322314 & -0.859504132231406 \tabularnewline
89 & 7 & 10.9516129032258 & -3.95161290322581 \tabularnewline
90 & 17 & 13.8595041322314 & 3.14049586776859 \tabularnewline
91 & 13 & 13.8595041322314 & -0.859504132231406 \tabularnewline
92 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
93 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
94 & 13 & 13.8595041322314 & -0.859504132231406 \tabularnewline
95 & 16 & 14.9506172839506 & 1.04938271604938 \tabularnewline
96 & 12 & 10.9516129032258 & 1.04838709677419 \tabularnewline
97 & 14 & 14.9506172839506 & -0.950617283950617 \tabularnewline
98 & 17 & 14.9506172839506 & 2.04938271604938 \tabularnewline
99 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
100 & 17 & 14.9506172839506 & 2.04938271604938 \tabularnewline
101 & 12 & 10.9516129032258 & 1.04838709677419 \tabularnewline
102 & 16 & 13.8595041322314 & 2.14049586776859 \tabularnewline
103 & 11 & 14.9506172839506 & -3.95061728395062 \tabularnewline
104 & 15 & 10.9516129032258 & 4.04838709677419 \tabularnewline
105 & 9 & 10.9516129032258 & -1.95161290322581 \tabularnewline
106 & 16 & 14.9506172839506 & 1.04938271604938 \tabularnewline
107 & 15 & 10.9516129032258 & 4.04838709677419 \tabularnewline
108 & 10 & 13.8595041322314 & -3.85950413223141 \tabularnewline
109 & 10 & 10.9516129032258 & -0.951612903225806 \tabularnewline
110 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
111 & 11 & 13.8595041322314 & -2.85950413223141 \tabularnewline
112 & 13 & 14.9506172839506 & -1.95061728395062 \tabularnewline
113 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
114 & 18 & 13.8595041322314 & 4.14049586776859 \tabularnewline
115 & 16 & 14.9506172839506 & 1.04938271604938 \tabularnewline
116 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
117 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
118 & 14 & 14.9506172839506 & -0.950617283950617 \tabularnewline
119 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
120 & 12 & 13.8595041322314 & -1.85950413223141 \tabularnewline
121 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
122 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
123 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
124 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
125 & 13 & 14.9506172839506 & -1.95061728395062 \tabularnewline
126 & 17 & 14.9506172839506 & 2.04938271604938 \tabularnewline
127 & 17 & 14.9506172839506 & 2.04938271604938 \tabularnewline
128 & 19 & 14.9506172839506 & 4.04938271604938 \tabularnewline
129 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
130 & 13 & 14.9506172839506 & -1.95061728395062 \tabularnewline
131 & 9 & 10.9516129032258 & -1.95161290322581 \tabularnewline
132 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
133 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
134 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
135 & 16 & 13.8595041322314 & 2.14049586776859 \tabularnewline
136 & 11 & 10.9516129032258 & 0.0483870967741939 \tabularnewline
137 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
138 & 11 & 10.9516129032258 & 0.0483870967741939 \tabularnewline
139 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
140 & 13 & 13.8595041322314 & -0.859504132231406 \tabularnewline
141 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
142 & 16 & 13.8595041322314 & 2.14049586776859 \tabularnewline
143 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
144 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
145 & 16 & 14.9506172839506 & 1.04938271604938 \tabularnewline
146 & 16 & 13.8595041322314 & 2.14049586776859 \tabularnewline
147 & 11 & 13.8595041322314 & -2.85950413223141 \tabularnewline
148 & 12 & 14.9506172839506 & -2.95061728395062 \tabularnewline
149 & 9 & 10.9516129032258 & -1.95161290322581 \tabularnewline
150 & 16 & 13.8595041322314 & 2.14049586776859 \tabularnewline
151 & 13 & 10.9516129032258 & 2.04838709677419 \tabularnewline
152 & 16 & 14.9506172839506 & 1.04938271604938 \tabularnewline
153 & 12 & 13.8595041322314 & -1.85950413223141 \tabularnewline
154 & 9 & 10.9516129032258 & -1.95161290322581 \tabularnewline
155 & 13 & 10.9516129032258 & 2.04838709677419 \tabularnewline
156 & 13 & 13.8595041322314 & -0.859504132231406 \tabularnewline
157 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
158 & 19 & 14.9506172839506 & 4.04938271604938 \tabularnewline
159 & 13 & 14.9506172839506 & -1.95061728395062 \tabularnewline
160 & 12 & 10.9516129032258 & 1.04838709677419 \tabularnewline
161 & 13 & 10.9516129032258 & 2.04838709677419 \tabularnewline
162 & 10 & 10.9516129032258 & -0.951612903225806 \tabularnewline
163 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
164 & 16 & 10.9516129032258 & 5.04838709677419 \tabularnewline
165 & 10 & 10.9516129032258 & -0.951612903225806 \tabularnewline
166 & 11 & 10.9516129032258 & 0.0483870967741939 \tabularnewline
167 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
168 & 12 & 13.8595041322314 & -1.85950413223141 \tabularnewline
169 & 9 & 10.9516129032258 & -1.95161290322581 \tabularnewline
170 & 9 & 10.9516129032258 & -1.95161290322581 \tabularnewline
171 & 11 & 10.9516129032258 & 0.0483870967741939 \tabularnewline
172 & 16 & 13.8595041322314 & 2.14049586776859 \tabularnewline
173 & 9 & 13.8595041322314 & -4.85950413223141 \tabularnewline
174 & 13 & 10.9516129032258 & 2.04838709677419 \tabularnewline
175 & 16 & 13.8595041322314 & 2.14049586776859 \tabularnewline
176 & 13 & 14.9506172839506 & -1.95061728395062 \tabularnewline
177 & 9 & 10.9516129032258 & -1.95161290322581 \tabularnewline
178 & 12 & 10.9516129032258 & 1.04838709677419 \tabularnewline
179 & 16 & 14.9506172839506 & 1.04938271604938 \tabularnewline
180 & 11 & 13.8595041322314 & -2.85950413223141 \tabularnewline
181 & 14 & 14.9506172839506 & -0.950617283950617 \tabularnewline
182 & 13 & 14.9506172839506 & -1.95061728395062 \tabularnewline
183 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
184 & 14 & 14.9506172839506 & -0.950617283950617 \tabularnewline
185 & 16 & 14.9506172839506 & 1.04938271604938 \tabularnewline
186 & 13 & 10.9516129032258 & 2.04838709677419 \tabularnewline
187 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
188 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
189 & 13 & 13.8595041322314 & -0.859504132231406 \tabularnewline
190 & 11 & 10.9516129032258 & 0.0483870967741939 \tabularnewline
191 & 11 & 13.8595041322314 & -2.85950413223141 \tabularnewline
192 & 14 & 14.9506172839506 & -0.950617283950617 \tabularnewline
193 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
194 & 11 & 10.9516129032258 & 0.0483870967741939 \tabularnewline
195 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
196 & 12 & 13.8595041322314 & -1.85950413223141 \tabularnewline
197 & 14 & 10.9516129032258 & 3.04838709677419 \tabularnewline
198 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
199 & 8 & 10.9516129032258 & -2.95161290322581 \tabularnewline
200 & 13 & 13.8595041322314 & -0.859504132231406 \tabularnewline
201 & 9 & 10.9516129032258 & -1.95161290322581 \tabularnewline
202 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
203 & 17 & 14.9506172839506 & 2.04938271604938 \tabularnewline
204 & 13 & 13.8595041322314 & -0.859504132231406 \tabularnewline
205 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
206 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
207 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
208 & 16 & 13.8595041322314 & 2.14049586776859 \tabularnewline
209 & 13 & 13.8595041322314 & -0.859504132231406 \tabularnewline
210 & 16 & 13.8595041322314 & 2.14049586776859 \tabularnewline
211 & 9 & 10.9516129032258 & -1.95161290322581 \tabularnewline
212 & 16 & 14.9506172839506 & 1.04938271604938 \tabularnewline
213 & 11 & 10.9516129032258 & 0.0483870967741939 \tabularnewline
214 & 10 & 13.8595041322314 & -3.85950413223141 \tabularnewline
215 & 11 & 10.9516129032258 & 0.0483870967741939 \tabularnewline
216 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
217 & 17 & 14.9506172839506 & 2.04938271604938 \tabularnewline
218 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
219 & 8 & 10.9516129032258 & -2.95161290322581 \tabularnewline
220 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
221 & 11 & 13.8595041322314 & -2.85950413223141 \tabularnewline
222 & 16 & 13.8595041322314 & 2.14049586776859 \tabularnewline
223 & 10 & 10.9516129032258 & -0.951612903225806 \tabularnewline
224 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
225 & 9 & 10.9516129032258 & -1.95161290322581 \tabularnewline
226 & 16 & 14.9506172839506 & 1.04938271604938 \tabularnewline
227 & 19 & 14.9506172839506 & 4.04938271604938 \tabularnewline
228 & 12 & 13.8595041322314 & -1.85950413223141 \tabularnewline
229 & 8 & 10.9516129032258 & -2.95161290322581 \tabularnewline
230 & 11 & 13.8595041322314 & -2.85950413223141 \tabularnewline
231 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
232 & 9 & 10.9516129032258 & -1.95161290322581 \tabularnewline
233 & 15 & 14.9506172839506 & 0.0493827160493829 \tabularnewline
234 & 13 & 10.9516129032258 & 2.04838709677419 \tabularnewline
235 & 16 & 14.9506172839506 & 1.04938271604938 \tabularnewline
236 & 11 & 13.8595041322314 & -2.85950413223141 \tabularnewline
237 & 12 & 10.9516129032258 & 1.04838709677419 \tabularnewline
238 & 13 & 13.8595041322314 & -0.859504132231406 \tabularnewline
239 & 10 & 14.9506172839506 & -4.95061728395062 \tabularnewline
240 & 11 & 13.8595041322314 & -2.85950413223141 \tabularnewline
241 & 12 & 14.9506172839506 & -2.95061728395062 \tabularnewline
242 & 8 & 10.9516129032258 & -2.95161290322581 \tabularnewline
243 & 12 & 10.9516129032258 & 1.04838709677419 \tabularnewline
244 & 12 & 10.9516129032258 & 1.04838709677419 \tabularnewline
245 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
246 & 11 & 10.9516129032258 & 0.0483870967741939 \tabularnewline
247 & 13 & 13.8595041322314 & -0.859504132231406 \tabularnewline
248 & 14 & 10.9516129032258 & 3.04838709677419 \tabularnewline
249 & 10 & 10.9516129032258 & -0.951612903225806 \tabularnewline
250 & 12 & 10.9516129032258 & 1.04838709677419 \tabularnewline
251 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
252 & 13 & 10.9516129032258 & 2.04838709677419 \tabularnewline
253 & 13 & 14.9506172839506 & -1.95061728395062 \tabularnewline
254 & 13 & 13.8595041322314 & -0.859504132231406 \tabularnewline
255 & 12 & 10.9516129032258 & 1.04838709677419 \tabularnewline
256 & 12 & 13.8595041322314 & -1.85950413223141 \tabularnewline
257 & 9 & 10.9516129032258 & -1.95161290322581 \tabularnewline
258 & 9 & 10.9516129032258 & -1.95161290322581 \tabularnewline
259 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
260 & 10 & 14.9506172839506 & -4.95061728395062 \tabularnewline
261 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
262 & 15 & 13.8595041322314 & 1.14049586776859 \tabularnewline
263 & 7 & 10.9516129032258 & -3.95161290322581 \tabularnewline
264 & 14 & 13.8595041322314 & 0.140495867768594 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=228969&T=2

[TABLE]
[ROW][C]Actuals, Predictions, and Residuals[/C][/ROW]
[ROW][C]#[/C][C]Actuals[/C][C]Forecasts[/C][C]Residuals[/C][/ROW]
[ROW][C]1[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]2[/C][C]18[/C][C]14.9506172839506[/C][C]3.04938271604938[/C][/ROW]
[ROW][C]3[/C][C]11[/C][C]13.8595041322314[/C][C]-2.85950413223141[/C][/ROW]
[ROW][C]4[/C][C]12[/C][C]13.8595041322314[/C][C]-1.85950413223141[/C][/ROW]
[ROW][C]5[/C][C]16[/C][C]10.9516129032258[/C][C]5.04838709677419[/C][/ROW]
[ROW][C]6[/C][C]18[/C][C]13.8595041322314[/C][C]4.14049586776859[/C][/ROW]
[ROW][C]7[/C][C]14[/C][C]10.9516129032258[/C][C]3.04838709677419[/C][/ROW]
[ROW][C]8[/C][C]14[/C][C]14.9506172839506[/C][C]-0.950617283950617[/C][/ROW]
[ROW][C]9[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]10[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]11[/C][C]17[/C][C]14.9506172839506[/C][C]2.04938271604938[/C][/ROW]
[ROW][C]12[/C][C]19[/C][C]14.9506172839506[/C][C]4.04938271604938[/C][/ROW]
[ROW][C]13[/C][C]10[/C][C]13.8595041322314[/C][C]-3.85950413223141[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]13.8595041322314[/C][C]2.14049586776859[/C][/ROW]
[ROW][C]15[/C][C]18[/C][C]14.9506172839506[/C][C]3.04938271604938[/C][/ROW]
[ROW][C]16[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]17[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]18[/C][C]17[/C][C]14.9506172839506[/C][C]2.04938271604938[/C][/ROW]
[ROW][C]19[/C][C]14[/C][C]14.9506172839506[/C][C]-0.950617283950617[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]13.8595041322314[/C][C]2.14049586776859[/C][/ROW]
[ROW][C]21[/C][C]18[/C][C]14.9506172839506[/C][C]3.04938271604938[/C][/ROW]
[ROW][C]22[/C][C]11[/C][C]13.8595041322314[/C][C]-2.85950413223141[/C][/ROW]
[ROW][C]23[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]24[/C][C]12[/C][C]13.8595041322314[/C][C]-1.85950413223141[/C][/ROW]
[ROW][C]25[/C][C]17[/C][C]14.9506172839506[/C][C]2.04938271604938[/C][/ROW]
[ROW][C]26[/C][C]9[/C][C]14.9506172839506[/C][C]-5.95061728395062[/C][/ROW]
[ROW][C]27[/C][C]16[/C][C]14.9506172839506[/C][C]1.04938271604938[/C][/ROW]
[ROW][C]28[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]29[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]30[/C][C]11[/C][C]13.8595041322314[/C][C]-2.85950413223141[/C][/ROW]
[ROW][C]31[/C][C]16[/C][C]14.9506172839506[/C][C]1.04938271604938[/C][/ROW]
[ROW][C]32[/C][C]13[/C][C]13.8595041322314[/C][C]-0.859504132231406[/C][/ROW]
[ROW][C]33[/C][C]17[/C][C]14.9506172839506[/C][C]2.04938271604938[/C][/ROW]
[ROW][C]34[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]35[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]36[/C][C]16[/C][C]14.9506172839506[/C][C]1.04938271604938[/C][/ROW]
[ROW][C]37[/C][C]9[/C][C]10.9516129032258[/C][C]-1.95161290322581[/C][/ROW]
[ROW][C]38[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]39[/C][C]17[/C][C]14.9506172839506[/C][C]2.04938271604938[/C][/ROW]
[ROW][C]40[/C][C]13[/C][C]14.9506172839506[/C][C]-1.95061728395062[/C][/ROW]
[ROW][C]41[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]42[/C][C]16[/C][C]13.8595041322314[/C][C]2.14049586776859[/C][/ROW]
[ROW][C]43[/C][C]16[/C][C]14.9506172839506[/C][C]1.04938271604938[/C][/ROW]
[ROW][C]44[/C][C]12[/C][C]13.8595041322314[/C][C]-1.85950413223141[/C][/ROW]
[ROW][C]45[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]13.8595041322314[/C][C]-2.85950413223141[/C][/ROW]
[ROW][C]47[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]49[/C][C]17[/C][C]13.8595041322314[/C][C]3.14049586776859[/C][/ROW]
[ROW][C]50[/C][C]13[/C][C]14.9506172839506[/C][C]-1.95061728395062[/C][/ROW]
[ROW][C]51[/C][C]16[/C][C]14.9506172839506[/C][C]1.04938271604938[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]53[/C][C]11[/C][C]10.9516129032258[/C][C]0.0483870967741939[/C][/ROW]
[ROW][C]54[/C][C]12[/C][C]13.8595041322314[/C][C]-1.85950413223141[/C][/ROW]
[ROW][C]55[/C][C]12[/C][C]14.9506172839506[/C][C]-2.95061728395062[/C][/ROW]
[ROW][C]56[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]13.8595041322314[/C][C]2.14049586776859[/C][/ROW]
[ROW][C]58[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]59[/C][C]12[/C][C]14.9506172839506[/C][C]-2.95061728395062[/C][/ROW]
[ROW][C]60[/C][C]12[/C][C]13.8595041322314[/C][C]-1.85950413223141[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]10.9516129032258[/C][C]-2.95161290322581[/C][/ROW]
[ROW][C]62[/C][C]13[/C][C]13.8595041322314[/C][C]-0.859504132231406[/C][/ROW]
[ROW][C]63[/C][C]11[/C][C]13.8595041322314[/C][C]-2.85950413223141[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]65[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]66[/C][C]10[/C][C]14.9506172839506[/C][C]-4.95061728395062[/C][/ROW]
[ROW][C]67[/C][C]11[/C][C]10.9516129032258[/C][C]0.0483870967741939[/C][/ROW]
[ROW][C]68[/C][C]12[/C][C]13.8595041322314[/C][C]-1.85950413223141[/C][/ROW]
[ROW][C]69[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]70[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]71[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]72[/C][C]16[/C][C]13.8595041322314[/C][C]2.14049586776859[/C][/ROW]
[ROW][C]73[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]74[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]75[/C][C]13[/C][C]14.9506172839506[/C][C]-1.95061728395062[/C][/ROW]
[ROW][C]76[/C][C]12[/C][C]10.9516129032258[/C][C]1.04838709677419[/C][/ROW]
[ROW][C]77[/C][C]17[/C][C]13.8595041322314[/C][C]3.14049586776859[/C][/ROW]
[ROW][C]78[/C][C]13[/C][C]10.9516129032258[/C][C]2.04838709677419[/C][/ROW]
[ROW][C]79[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]14.9506172839506[/C][C]-1.95061728395062[/C][/ROW]
[ROW][C]81[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]82[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]83[/C][C]16[/C][C]13.8595041322314[/C][C]2.14049586776859[/C][/ROW]
[ROW][C]84[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]85[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]86[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]87[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]88[/C][C]13[/C][C]13.8595041322314[/C][C]-0.859504132231406[/C][/ROW]
[ROW][C]89[/C][C]7[/C][C]10.9516129032258[/C][C]-3.95161290322581[/C][/ROW]
[ROW][C]90[/C][C]17[/C][C]13.8595041322314[/C][C]3.14049586776859[/C][/ROW]
[ROW][C]91[/C][C]13[/C][C]13.8595041322314[/C][C]-0.859504132231406[/C][/ROW]
[ROW][C]92[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]93[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]13.8595041322314[/C][C]-0.859504132231406[/C][/ROW]
[ROW][C]95[/C][C]16[/C][C]14.9506172839506[/C][C]1.04938271604938[/C][/ROW]
[ROW][C]96[/C][C]12[/C][C]10.9516129032258[/C][C]1.04838709677419[/C][/ROW]
[ROW][C]97[/C][C]14[/C][C]14.9506172839506[/C][C]-0.950617283950617[/C][/ROW]
[ROW][C]98[/C][C]17[/C][C]14.9506172839506[/C][C]2.04938271604938[/C][/ROW]
[ROW][C]99[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]100[/C][C]17[/C][C]14.9506172839506[/C][C]2.04938271604938[/C][/ROW]
[ROW][C]101[/C][C]12[/C][C]10.9516129032258[/C][C]1.04838709677419[/C][/ROW]
[ROW][C]102[/C][C]16[/C][C]13.8595041322314[/C][C]2.14049586776859[/C][/ROW]
[ROW][C]103[/C][C]11[/C][C]14.9506172839506[/C][C]-3.95061728395062[/C][/ROW]
[ROW][C]104[/C][C]15[/C][C]10.9516129032258[/C][C]4.04838709677419[/C][/ROW]
[ROW][C]105[/C][C]9[/C][C]10.9516129032258[/C][C]-1.95161290322581[/C][/ROW]
[ROW][C]106[/C][C]16[/C][C]14.9506172839506[/C][C]1.04938271604938[/C][/ROW]
[ROW][C]107[/C][C]15[/C][C]10.9516129032258[/C][C]4.04838709677419[/C][/ROW]
[ROW][C]108[/C][C]10[/C][C]13.8595041322314[/C][C]-3.85950413223141[/C][/ROW]
[ROW][C]109[/C][C]10[/C][C]10.9516129032258[/C][C]-0.951612903225806[/C][/ROW]
[ROW][C]110[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]111[/C][C]11[/C][C]13.8595041322314[/C][C]-2.85950413223141[/C][/ROW]
[ROW][C]112[/C][C]13[/C][C]14.9506172839506[/C][C]-1.95061728395062[/C][/ROW]
[ROW][C]113[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]114[/C][C]18[/C][C]13.8595041322314[/C][C]4.14049586776859[/C][/ROW]
[ROW][C]115[/C][C]16[/C][C]14.9506172839506[/C][C]1.04938271604938[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]117[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]118[/C][C]14[/C][C]14.9506172839506[/C][C]-0.950617283950617[/C][/ROW]
[ROW][C]119[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]120[/C][C]12[/C][C]13.8595041322314[/C][C]-1.85950413223141[/C][/ROW]
[ROW][C]121[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]122[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]123[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]124[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]125[/C][C]13[/C][C]14.9506172839506[/C][C]-1.95061728395062[/C][/ROW]
[ROW][C]126[/C][C]17[/C][C]14.9506172839506[/C][C]2.04938271604938[/C][/ROW]
[ROW][C]127[/C][C]17[/C][C]14.9506172839506[/C][C]2.04938271604938[/C][/ROW]
[ROW][C]128[/C][C]19[/C][C]14.9506172839506[/C][C]4.04938271604938[/C][/ROW]
[ROW][C]129[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]130[/C][C]13[/C][C]14.9506172839506[/C][C]-1.95061728395062[/C][/ROW]
[ROW][C]131[/C][C]9[/C][C]10.9516129032258[/C][C]-1.95161290322581[/C][/ROW]
[ROW][C]132[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]133[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]134[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]135[/C][C]16[/C][C]13.8595041322314[/C][C]2.14049586776859[/C][/ROW]
[ROW][C]136[/C][C]11[/C][C]10.9516129032258[/C][C]0.0483870967741939[/C][/ROW]
[ROW][C]137[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]138[/C][C]11[/C][C]10.9516129032258[/C][C]0.0483870967741939[/C][/ROW]
[ROW][C]139[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]140[/C][C]13[/C][C]13.8595041322314[/C][C]-0.859504132231406[/C][/ROW]
[ROW][C]141[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]142[/C][C]16[/C][C]13.8595041322314[/C][C]2.14049586776859[/C][/ROW]
[ROW][C]143[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]144[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]145[/C][C]16[/C][C]14.9506172839506[/C][C]1.04938271604938[/C][/ROW]
[ROW][C]146[/C][C]16[/C][C]13.8595041322314[/C][C]2.14049586776859[/C][/ROW]
[ROW][C]147[/C][C]11[/C][C]13.8595041322314[/C][C]-2.85950413223141[/C][/ROW]
[ROW][C]148[/C][C]12[/C][C]14.9506172839506[/C][C]-2.95061728395062[/C][/ROW]
[ROW][C]149[/C][C]9[/C][C]10.9516129032258[/C][C]-1.95161290322581[/C][/ROW]
[ROW][C]150[/C][C]16[/C][C]13.8595041322314[/C][C]2.14049586776859[/C][/ROW]
[ROW][C]151[/C][C]13[/C][C]10.9516129032258[/C][C]2.04838709677419[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]14.9506172839506[/C][C]1.04938271604938[/C][/ROW]
[ROW][C]153[/C][C]12[/C][C]13.8595041322314[/C][C]-1.85950413223141[/C][/ROW]
[ROW][C]154[/C][C]9[/C][C]10.9516129032258[/C][C]-1.95161290322581[/C][/ROW]
[ROW][C]155[/C][C]13[/C][C]10.9516129032258[/C][C]2.04838709677419[/C][/ROW]
[ROW][C]156[/C][C]13[/C][C]13.8595041322314[/C][C]-0.859504132231406[/C][/ROW]
[ROW][C]157[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]158[/C][C]19[/C][C]14.9506172839506[/C][C]4.04938271604938[/C][/ROW]
[ROW][C]159[/C][C]13[/C][C]14.9506172839506[/C][C]-1.95061728395062[/C][/ROW]
[ROW][C]160[/C][C]12[/C][C]10.9516129032258[/C][C]1.04838709677419[/C][/ROW]
[ROW][C]161[/C][C]13[/C][C]10.9516129032258[/C][C]2.04838709677419[/C][/ROW]
[ROW][C]162[/C][C]10[/C][C]10.9516129032258[/C][C]-0.951612903225806[/C][/ROW]
[ROW][C]163[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]164[/C][C]16[/C][C]10.9516129032258[/C][C]5.04838709677419[/C][/ROW]
[ROW][C]165[/C][C]10[/C][C]10.9516129032258[/C][C]-0.951612903225806[/C][/ROW]
[ROW][C]166[/C][C]11[/C][C]10.9516129032258[/C][C]0.0483870967741939[/C][/ROW]
[ROW][C]167[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]168[/C][C]12[/C][C]13.8595041322314[/C][C]-1.85950413223141[/C][/ROW]
[ROW][C]169[/C][C]9[/C][C]10.9516129032258[/C][C]-1.95161290322581[/C][/ROW]
[ROW][C]170[/C][C]9[/C][C]10.9516129032258[/C][C]-1.95161290322581[/C][/ROW]
[ROW][C]171[/C][C]11[/C][C]10.9516129032258[/C][C]0.0483870967741939[/C][/ROW]
[ROW][C]172[/C][C]16[/C][C]13.8595041322314[/C][C]2.14049586776859[/C][/ROW]
[ROW][C]173[/C][C]9[/C][C]13.8595041322314[/C][C]-4.85950413223141[/C][/ROW]
[ROW][C]174[/C][C]13[/C][C]10.9516129032258[/C][C]2.04838709677419[/C][/ROW]
[ROW][C]175[/C][C]16[/C][C]13.8595041322314[/C][C]2.14049586776859[/C][/ROW]
[ROW][C]176[/C][C]13[/C][C]14.9506172839506[/C][C]-1.95061728395062[/C][/ROW]
[ROW][C]177[/C][C]9[/C][C]10.9516129032258[/C][C]-1.95161290322581[/C][/ROW]
[ROW][C]178[/C][C]12[/C][C]10.9516129032258[/C][C]1.04838709677419[/C][/ROW]
[ROW][C]179[/C][C]16[/C][C]14.9506172839506[/C][C]1.04938271604938[/C][/ROW]
[ROW][C]180[/C][C]11[/C][C]13.8595041322314[/C][C]-2.85950413223141[/C][/ROW]
[ROW][C]181[/C][C]14[/C][C]14.9506172839506[/C][C]-0.950617283950617[/C][/ROW]
[ROW][C]182[/C][C]13[/C][C]14.9506172839506[/C][C]-1.95061728395062[/C][/ROW]
[ROW][C]183[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]184[/C][C]14[/C][C]14.9506172839506[/C][C]-0.950617283950617[/C][/ROW]
[ROW][C]185[/C][C]16[/C][C]14.9506172839506[/C][C]1.04938271604938[/C][/ROW]
[ROW][C]186[/C][C]13[/C][C]10.9516129032258[/C][C]2.04838709677419[/C][/ROW]
[ROW][C]187[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]188[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]189[/C][C]13[/C][C]13.8595041322314[/C][C]-0.859504132231406[/C][/ROW]
[ROW][C]190[/C][C]11[/C][C]10.9516129032258[/C][C]0.0483870967741939[/C][/ROW]
[ROW][C]191[/C][C]11[/C][C]13.8595041322314[/C][C]-2.85950413223141[/C][/ROW]
[ROW][C]192[/C][C]14[/C][C]14.9506172839506[/C][C]-0.950617283950617[/C][/ROW]
[ROW][C]193[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]194[/C][C]11[/C][C]10.9516129032258[/C][C]0.0483870967741939[/C][/ROW]
[ROW][C]195[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]13.8595041322314[/C][C]-1.85950413223141[/C][/ROW]
[ROW][C]197[/C][C]14[/C][C]10.9516129032258[/C][C]3.04838709677419[/C][/ROW]
[ROW][C]198[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]199[/C][C]8[/C][C]10.9516129032258[/C][C]-2.95161290322581[/C][/ROW]
[ROW][C]200[/C][C]13[/C][C]13.8595041322314[/C][C]-0.859504132231406[/C][/ROW]
[ROW][C]201[/C][C]9[/C][C]10.9516129032258[/C][C]-1.95161290322581[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]203[/C][C]17[/C][C]14.9506172839506[/C][C]2.04938271604938[/C][/ROW]
[ROW][C]204[/C][C]13[/C][C]13.8595041322314[/C][C]-0.859504132231406[/C][/ROW]
[ROW][C]205[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]206[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]207[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]13.8595041322314[/C][C]2.14049586776859[/C][/ROW]
[ROW][C]209[/C][C]13[/C][C]13.8595041322314[/C][C]-0.859504132231406[/C][/ROW]
[ROW][C]210[/C][C]16[/C][C]13.8595041322314[/C][C]2.14049586776859[/C][/ROW]
[ROW][C]211[/C][C]9[/C][C]10.9516129032258[/C][C]-1.95161290322581[/C][/ROW]
[ROW][C]212[/C][C]16[/C][C]14.9506172839506[/C][C]1.04938271604938[/C][/ROW]
[ROW][C]213[/C][C]11[/C][C]10.9516129032258[/C][C]0.0483870967741939[/C][/ROW]
[ROW][C]214[/C][C]10[/C][C]13.8595041322314[/C][C]-3.85950413223141[/C][/ROW]
[ROW][C]215[/C][C]11[/C][C]10.9516129032258[/C][C]0.0483870967741939[/C][/ROW]
[ROW][C]216[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]217[/C][C]17[/C][C]14.9506172839506[/C][C]2.04938271604938[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]219[/C][C]8[/C][C]10.9516129032258[/C][C]-2.95161290322581[/C][/ROW]
[ROW][C]220[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]221[/C][C]11[/C][C]13.8595041322314[/C][C]-2.85950413223141[/C][/ROW]
[ROW][C]222[/C][C]16[/C][C]13.8595041322314[/C][C]2.14049586776859[/C][/ROW]
[ROW][C]223[/C][C]10[/C][C]10.9516129032258[/C][C]-0.951612903225806[/C][/ROW]
[ROW][C]224[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]225[/C][C]9[/C][C]10.9516129032258[/C][C]-1.95161290322581[/C][/ROW]
[ROW][C]226[/C][C]16[/C][C]14.9506172839506[/C][C]1.04938271604938[/C][/ROW]
[ROW][C]227[/C][C]19[/C][C]14.9506172839506[/C][C]4.04938271604938[/C][/ROW]
[ROW][C]228[/C][C]12[/C][C]13.8595041322314[/C][C]-1.85950413223141[/C][/ROW]
[ROW][C]229[/C][C]8[/C][C]10.9516129032258[/C][C]-2.95161290322581[/C][/ROW]
[ROW][C]230[/C][C]11[/C][C]13.8595041322314[/C][C]-2.85950413223141[/C][/ROW]
[ROW][C]231[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]232[/C][C]9[/C][C]10.9516129032258[/C][C]-1.95161290322581[/C][/ROW]
[ROW][C]233[/C][C]15[/C][C]14.9506172839506[/C][C]0.0493827160493829[/C][/ROW]
[ROW][C]234[/C][C]13[/C][C]10.9516129032258[/C][C]2.04838709677419[/C][/ROW]
[ROW][C]235[/C][C]16[/C][C]14.9506172839506[/C][C]1.04938271604938[/C][/ROW]
[ROW][C]236[/C][C]11[/C][C]13.8595041322314[/C][C]-2.85950413223141[/C][/ROW]
[ROW][C]237[/C][C]12[/C][C]10.9516129032258[/C][C]1.04838709677419[/C][/ROW]
[ROW][C]238[/C][C]13[/C][C]13.8595041322314[/C][C]-0.859504132231406[/C][/ROW]
[ROW][C]239[/C][C]10[/C][C]14.9506172839506[/C][C]-4.95061728395062[/C][/ROW]
[ROW][C]240[/C][C]11[/C][C]13.8595041322314[/C][C]-2.85950413223141[/C][/ROW]
[ROW][C]241[/C][C]12[/C][C]14.9506172839506[/C][C]-2.95061728395062[/C][/ROW]
[ROW][C]242[/C][C]8[/C][C]10.9516129032258[/C][C]-2.95161290322581[/C][/ROW]
[ROW][C]243[/C][C]12[/C][C]10.9516129032258[/C][C]1.04838709677419[/C][/ROW]
[ROW][C]244[/C][C]12[/C][C]10.9516129032258[/C][C]1.04838709677419[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]246[/C][C]11[/C][C]10.9516129032258[/C][C]0.0483870967741939[/C][/ROW]
[ROW][C]247[/C][C]13[/C][C]13.8595041322314[/C][C]-0.859504132231406[/C][/ROW]
[ROW][C]248[/C][C]14[/C][C]10.9516129032258[/C][C]3.04838709677419[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]10.9516129032258[/C][C]-0.951612903225806[/C][/ROW]
[ROW][C]250[/C][C]12[/C][C]10.9516129032258[/C][C]1.04838709677419[/C][/ROW]
[ROW][C]251[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]252[/C][C]13[/C][C]10.9516129032258[/C][C]2.04838709677419[/C][/ROW]
[ROW][C]253[/C][C]13[/C][C]14.9506172839506[/C][C]-1.95061728395062[/C][/ROW]
[ROW][C]254[/C][C]13[/C][C]13.8595041322314[/C][C]-0.859504132231406[/C][/ROW]
[ROW][C]255[/C][C]12[/C][C]10.9516129032258[/C][C]1.04838709677419[/C][/ROW]
[ROW][C]256[/C][C]12[/C][C]13.8595041322314[/C][C]-1.85950413223141[/C][/ROW]
[ROW][C]257[/C][C]9[/C][C]10.9516129032258[/C][C]-1.95161290322581[/C][/ROW]
[ROW][C]258[/C][C]9[/C][C]10.9516129032258[/C][C]-1.95161290322581[/C][/ROW]
[ROW][C]259[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]260[/C][C]10[/C][C]14.9506172839506[/C][C]-4.95061728395062[/C][/ROW]
[ROW][C]261[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[ROW][C]262[/C][C]15[/C][C]13.8595041322314[/C][C]1.14049586776859[/C][/ROW]
[ROW][C]263[/C][C]7[/C][C]10.9516129032258[/C][C]-3.95161290322581[/C][/ROW]
[ROW][C]264[/C][C]14[/C][C]13.8595041322314[/C][C]0.140495867768594[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=228969&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=228969&T=2

As an alternative you can also use a QR Code:

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

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	14	13.8595041322314	0.140495867768594
2	18	14.9506172839506	3.04938271604938
3	11	13.8595041322314	-2.85950413223141
4	12	13.8595041322314	-1.85950413223141
5	16	10.9516129032258	5.04838709677419
6	18	13.8595041322314	4.14049586776859
7	14	10.9516129032258	3.04838709677419
8	14	14.9506172839506	-0.950617283950617
9	15	14.9506172839506	0.0493827160493829
10	15	13.8595041322314	1.14049586776859
11	17	14.9506172839506	2.04938271604938
12	19	14.9506172839506	4.04938271604938
13	10	13.8595041322314	-3.85950413223141
14	16	13.8595041322314	2.14049586776859
15	18	14.9506172839506	3.04938271604938
16	14	13.8595041322314	0.140495867768594
17	14	13.8595041322314	0.140495867768594
18	17	14.9506172839506	2.04938271604938
19	14	14.9506172839506	-0.950617283950617
20	16	13.8595041322314	2.14049586776859
21	18	14.9506172839506	3.04938271604938
22	11	13.8595041322314	-2.85950413223141
23	14	13.8595041322314	0.140495867768594
24	12	13.8595041322314	-1.85950413223141
25	17	14.9506172839506	2.04938271604938
26	9	14.9506172839506	-5.95061728395062
27	16	14.9506172839506	1.04938271604938
28	14	13.8595041322314	0.140495867768594
29	15	13.8595041322314	1.14049586776859
30	11	13.8595041322314	-2.85950413223141
31	16	14.9506172839506	1.04938271604938
32	13	13.8595041322314	-0.859504132231406
33	17	14.9506172839506	2.04938271604938
34	15	14.9506172839506	0.0493827160493829
35	14	13.8595041322314	0.140495867768594
36	16	14.9506172839506	1.04938271604938
37	9	10.9516129032258	-1.95161290322581
38	15	13.8595041322314	1.14049586776859
39	17	14.9506172839506	2.04938271604938
40	13	14.9506172839506	-1.95061728395062
41	15	14.9506172839506	0.0493827160493829
42	16	13.8595041322314	2.14049586776859
43	16	14.9506172839506	1.04938271604938
44	12	13.8595041322314	-1.85950413223141
45	15	14.9506172839506	0.0493827160493829
46	11	13.8595041322314	-2.85950413223141
47	15	14.9506172839506	0.0493827160493829
48	15	14.9506172839506	0.0493827160493829
49	17	13.8595041322314	3.14049586776859
50	13	14.9506172839506	-1.95061728395062
51	16	14.9506172839506	1.04938271604938
52	14	13.8595041322314	0.140495867768594
53	11	10.9516129032258	0.0483870967741939
54	12	13.8595041322314	-1.85950413223141
55	12	14.9506172839506	-2.95061728395062
56	15	13.8595041322314	1.14049586776859
57	16	13.8595041322314	2.14049586776859
58	15	14.9506172839506	0.0493827160493829
59	12	14.9506172839506	-2.95061728395062
60	12	13.8595041322314	-1.85950413223141
61	8	10.9516129032258	-2.95161290322581
62	13	13.8595041322314	-0.859504132231406
63	11	13.8595041322314	-2.85950413223141
64	14	13.8595041322314	0.140495867768594
65	15	13.8595041322314	1.14049586776859
66	10	14.9506172839506	-4.95061728395062
67	11	10.9516129032258	0.0483870967741939
68	12	13.8595041322314	-1.85950413223141
69	15	13.8595041322314	1.14049586776859
70	15	13.8595041322314	1.14049586776859
71	14	13.8595041322314	0.140495867768594
72	16	13.8595041322314	2.14049586776859
73	15	13.8595041322314	1.14049586776859
74	15	14.9506172839506	0.0493827160493829
75	13	14.9506172839506	-1.95061728395062
76	12	10.9516129032258	1.04838709677419
77	17	13.8595041322314	3.14049586776859
78	13	10.9516129032258	2.04838709677419
79	15	13.8595041322314	1.14049586776859
80	13	14.9506172839506	-1.95061728395062
81	15	14.9506172839506	0.0493827160493829
82	15	14.9506172839506	0.0493827160493829
83	16	13.8595041322314	2.14049586776859
84	15	13.8595041322314	1.14049586776859
85	14	13.8595041322314	0.140495867768594
86	15	13.8595041322314	1.14049586776859
87	14	13.8595041322314	0.140495867768594
88	13	13.8595041322314	-0.859504132231406
89	7	10.9516129032258	-3.95161290322581
90	17	13.8595041322314	3.14049586776859
91	13	13.8595041322314	-0.859504132231406
92	15	13.8595041322314	1.14049586776859
93	14	13.8595041322314	0.140495867768594
94	13	13.8595041322314	-0.859504132231406
95	16	14.9506172839506	1.04938271604938
96	12	10.9516129032258	1.04838709677419
97	14	14.9506172839506	-0.950617283950617
98	17	14.9506172839506	2.04938271604938
99	15	14.9506172839506	0.0493827160493829
100	17	14.9506172839506	2.04938271604938
101	12	10.9516129032258	1.04838709677419
102	16	13.8595041322314	2.14049586776859
103	11	14.9506172839506	-3.95061728395062
104	15	10.9516129032258	4.04838709677419
105	9	10.9516129032258	-1.95161290322581
106	16	14.9506172839506	1.04938271604938
107	15	10.9516129032258	4.04838709677419
108	10	13.8595041322314	-3.85950413223141
109	10	10.9516129032258	-0.951612903225806
110	15	13.8595041322314	1.14049586776859
111	11	13.8595041322314	-2.85950413223141
112	13	14.9506172839506	-1.95061728395062
113	14	13.8595041322314	0.140495867768594
114	18	13.8595041322314	4.14049586776859
115	16	14.9506172839506	1.04938271604938
116	14	13.8595041322314	0.140495867768594
117	14	13.8595041322314	0.140495867768594
118	14	14.9506172839506	-0.950617283950617
119	14	13.8595041322314	0.140495867768594
120	12	13.8595041322314	-1.85950413223141
121	14	13.8595041322314	0.140495867768594
122	15	14.9506172839506	0.0493827160493829
123	15	14.9506172839506	0.0493827160493829
124	15	14.9506172839506	0.0493827160493829
125	13	14.9506172839506	-1.95061728395062
126	17	14.9506172839506	2.04938271604938
127	17	14.9506172839506	2.04938271604938
128	19	14.9506172839506	4.04938271604938
129	15	13.8595041322314	1.14049586776859
130	13	14.9506172839506	-1.95061728395062
131	9	10.9516129032258	-1.95161290322581
132	15	14.9506172839506	0.0493827160493829
133	15	13.8595041322314	1.14049586776859
134	15	13.8595041322314	1.14049586776859
135	16	13.8595041322314	2.14049586776859
136	11	10.9516129032258	0.0483870967741939
137	14	13.8595041322314	0.140495867768594
138	11	10.9516129032258	0.0483870967741939
139	15	14.9506172839506	0.0493827160493829
140	13	13.8595041322314	-0.859504132231406
141	15	14.9506172839506	0.0493827160493829
142	16	13.8595041322314	2.14049586776859
143	14	13.8595041322314	0.140495867768594
144	15	13.8595041322314	1.14049586776859
145	16	14.9506172839506	1.04938271604938
146	16	13.8595041322314	2.14049586776859
147	11	13.8595041322314	-2.85950413223141
148	12	14.9506172839506	-2.95061728395062
149	9	10.9516129032258	-1.95161290322581
150	16	13.8595041322314	2.14049586776859
151	13	10.9516129032258	2.04838709677419
152	16	14.9506172839506	1.04938271604938
153	12	13.8595041322314	-1.85950413223141
154	9	10.9516129032258	-1.95161290322581
155	13	10.9516129032258	2.04838709677419
156	13	13.8595041322314	-0.859504132231406
157	14	13.8595041322314	0.140495867768594
158	19	14.9506172839506	4.04938271604938
159	13	14.9506172839506	-1.95061728395062
160	12	10.9516129032258	1.04838709677419
161	13	10.9516129032258	2.04838709677419
162	10	10.9516129032258	-0.951612903225806
163	14	13.8595041322314	0.140495867768594
164	16	10.9516129032258	5.04838709677419
165	10	10.9516129032258	-0.951612903225806
166	11	10.9516129032258	0.0483870967741939
167	14	13.8595041322314	0.140495867768594
168	12	13.8595041322314	-1.85950413223141
169	9	10.9516129032258	-1.95161290322581
170	9	10.9516129032258	-1.95161290322581
171	11	10.9516129032258	0.0483870967741939
172	16	13.8595041322314	2.14049586776859
173	9	13.8595041322314	-4.85950413223141
174	13	10.9516129032258	2.04838709677419
175	16	13.8595041322314	2.14049586776859
176	13	14.9506172839506	-1.95061728395062
177	9	10.9516129032258	-1.95161290322581
178	12	10.9516129032258	1.04838709677419
179	16	14.9506172839506	1.04938271604938
180	11	13.8595041322314	-2.85950413223141
181	14	14.9506172839506	-0.950617283950617
182	13	14.9506172839506	-1.95061728395062
183	15	14.9506172839506	0.0493827160493829
184	14	14.9506172839506	-0.950617283950617
185	16	14.9506172839506	1.04938271604938
186	13	10.9516129032258	2.04838709677419
187	14	13.8595041322314	0.140495867768594
188	15	13.8595041322314	1.14049586776859
189	13	13.8595041322314	-0.859504132231406
190	11	10.9516129032258	0.0483870967741939
191	11	13.8595041322314	-2.85950413223141
192	14	14.9506172839506	-0.950617283950617
193	15	13.8595041322314	1.14049586776859
194	11	10.9516129032258	0.0483870967741939
195	15	13.8595041322314	1.14049586776859
196	12	13.8595041322314	-1.85950413223141
197	14	10.9516129032258	3.04838709677419
198	14	13.8595041322314	0.140495867768594
199	8	10.9516129032258	-2.95161290322581
200	13	13.8595041322314	-0.859504132231406
201	9	10.9516129032258	-1.95161290322581
202	15	13.8595041322314	1.14049586776859
203	17	14.9506172839506	2.04938271604938
204	13	13.8595041322314	-0.859504132231406
205	15	14.9506172839506	0.0493827160493829
206	15	13.8595041322314	1.14049586776859
207	14	13.8595041322314	0.140495867768594
208	16	13.8595041322314	2.14049586776859
209	13	13.8595041322314	-0.859504132231406
210	16	13.8595041322314	2.14049586776859
211	9	10.9516129032258	-1.95161290322581
212	16	14.9506172839506	1.04938271604938
213	11	10.9516129032258	0.0483870967741939
214	10	13.8595041322314	-3.85950413223141
215	11	10.9516129032258	0.0483870967741939
216	15	13.8595041322314	1.14049586776859
217	17	14.9506172839506	2.04938271604938
218	14	13.8595041322314	0.140495867768594
219	8	10.9516129032258	-2.95161290322581
220	15	13.8595041322314	1.14049586776859
221	11	13.8595041322314	-2.85950413223141
222	16	13.8595041322314	2.14049586776859
223	10	10.9516129032258	-0.951612903225806
224	15	14.9506172839506	0.0493827160493829
225	9	10.9516129032258	-1.95161290322581
226	16	14.9506172839506	1.04938271604938
227	19	14.9506172839506	4.04938271604938
228	12	13.8595041322314	-1.85950413223141
229	8	10.9516129032258	-2.95161290322581
230	11	13.8595041322314	-2.85950413223141
231	14	13.8595041322314	0.140495867768594
232	9	10.9516129032258	-1.95161290322581
233	15	14.9506172839506	0.0493827160493829
234	13	10.9516129032258	2.04838709677419
235	16	14.9506172839506	1.04938271604938
236	11	13.8595041322314	-2.85950413223141
237	12	10.9516129032258	1.04838709677419
238	13	13.8595041322314	-0.859504132231406
239	10	14.9506172839506	-4.95061728395062
240	11	13.8595041322314	-2.85950413223141
241	12	14.9506172839506	-2.95061728395062
242	8	10.9516129032258	-2.95161290322581
243	12	10.9516129032258	1.04838709677419
244	12	10.9516129032258	1.04838709677419
245	15	13.8595041322314	1.14049586776859
246	11	10.9516129032258	0.0483870967741939
247	13	13.8595041322314	-0.859504132231406
248	14	10.9516129032258	3.04838709677419
249	10	10.9516129032258	-0.951612903225806
250	12	10.9516129032258	1.04838709677419
251	15	13.8595041322314	1.14049586776859
252	13	10.9516129032258	2.04838709677419
253	13	14.9506172839506	-1.95061728395062
254	13	13.8595041322314	-0.859504132231406
255	12	10.9516129032258	1.04838709677419
256	12	13.8595041322314	-1.85950413223141
257	9	10.9516129032258	-1.95161290322581
258	9	10.9516129032258	-1.95161290322581
259	15	13.8595041322314	1.14049586776859
260	10	14.9506172839506	-4.95061728395062
261	14	13.8595041322314	0.140495867768594
262	15	13.8595041322314	1.14049586776859
263	7	10.9516129032258	-3.95161290322581
264	14	13.8595041322314	0.140495867768594

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 5 ; par2 = none ; par4 = yes ;

Parameters (R input):

par1 = 5 ; par2 = none ; par3 = ; par4 = yes ;

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

library(party)
library(Hmisc)
par1 <- as.numeric(par1)
par3 <- as.numeric(par3)
x <- data.frame(t(y))
is.data.frame(x)
x <- x[!is.na(x[,par1]),]
k <- length(x[1,])
n <- length(x[,1])
colnames(x)[par1]
x[,par1]
if (par2 == 'kmeans') {
cl <- kmeans(x[,par1], par3)
print(cl)
clm <- matrix(cbind(cl$centers,1:par3),ncol=2)
clm <- clm[sort.list(clm[,1]),]
for (i in 1:par3) {
cl$cluster[cl$cluster==clm[i,2]] <- paste('C',i,sep='')
}
cl$cluster <- as.factor(cl$cluster)
print(cl$cluster)
x[,par1] <- cl$cluster
}
if (par2 == 'quantiles') {
x[,par1] <- cut2(x[,par1],g=par3)
}
if (par2 == 'hclust') {
hc <- hclust(dist(x[,par1])^2, 'cen')
print(hc)
memb <- cutree(hc, k = par3)
dum <- c(mean(x[memb==1,par1]))
for (i in 2:par3) {
dum <- c(dum, mean(x[memb==i,par1]))
}
hcm <- matrix(cbind(dum,1:par3),ncol=2)
hcm <- hcm[sort.list(hcm[,1]),]
for (i in 1:par3) {
memb[memb==hcm[i,2]] <- paste('C',i,sep='')
}
memb <- as.factor(memb)
print(memb)
x[,par1] <- memb
}
if (par2=='equal') {
ed <- cut(as.numeric(x[,par1]),par3,labels=paste('C',1:par3,sep=''))
x[,par1] <- as.factor(ed)
}
table(x[,par1])
colnames(x)
colnames(x)[par1]
x[,par1]
if (par2 == 'none') {
m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x)
}
load(file='createtable')
if (par2 != 'none') {
m <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data = x)
if (par4=='yes') {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'10-Fold Cross Validation',3+2*par3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',1,TRUE)
a<-table.element(a,'Prediction (training)',par3+1,TRUE)
a<-table.element(a,'Prediction (testing)',par3+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Actual',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE)
a<-table.element(a,'CV',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE)
a<-table.element(a,'CV',1,TRUE)
a<-table.row.end(a)
for (i in 1:10) {
ind <- sample(2, nrow(x), replace=T, prob=c(0.9,0.1))
m.ct <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data =x[ind==1,])
if (i==1) {
m.ct.i.pred <- predict(m.ct, newdata=x[ind==1,])
m.ct.i.actu <- x[ind==1,par1]
m.ct.x.pred <- predict(m.ct, newdata=x[ind==2,])
m.ct.x.actu <- x[ind==2,par1]
} else {
m.ct.i.pred <- c(m.ct.i.pred,predict(m.ct, newdata=x[ind==1,]))
m.ct.i.actu <- c(m.ct.i.actu,x[ind==1,par1])
m.ct.x.pred <- c(m.ct.x.pred,predict(m.ct, newdata=x[ind==2,]))
m.ct.x.actu <- c(m.ct.x.actu,x[ind==2,par1])
}
}
print(m.ct.i.tab <- table(m.ct.i.actu,m.ct.i.pred))
numer <- 0
for (i in 1:par3) {
print(m.ct.i.tab[i,i] / sum(m.ct.i.tab[i,]))
numer <- numer + m.ct.i.tab[i,i]
}
print(m.ct.i.cp <- numer / sum(m.ct.i.tab))
print(m.ct.x.tab <- table(m.ct.x.actu,m.ct.x.pred))
numer <- 0
for (i in 1:par3) {
print(m.ct.x.tab[i,i] / sum(m.ct.x.tab[i,]))
numer <- numer + m.ct.x.tab[i,i]
}
print(m.ct.x.cp <- numer / sum(m.ct.x.tab))
for (i in 1:par3) {
a<-table.row.start(a)
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
for (jjj in 1:par3) a<-table.element(a,m.ct.i.tab[i,jjj])
a<-table.element(a,round(m.ct.i.tab[i,i]/sum(m.ct.i.tab[i,]),4))
for (jjj in 1:par3) a<-table.element(a,m.ct.x.tab[i,jjj])
a<-table.element(a,round(m.ct.x.tab[i,i]/sum(m.ct.x.tab[i,]),4))
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,'Overall',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,'-')
a<-table.element(a,round(m.ct.i.cp,4))
for (jjj in 1:par3) a<-table.element(a,'-')
a<-table.element(a,round(m.ct.x.cp,4))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
}
}
m
bitmap(file='test1.png')
plot(m)
dev.off()
bitmap(file='test1a.png')
plot(x[,par1] ~ as.factor(where(m)),main='Response by Terminal Node',xlab='Terminal Node',ylab='Response')
dev.off()
if (par2 == 'none') {
forec <- predict(m)
result <- as.data.frame(cbind(x[,par1],forec,x[,par1]-forec))
colnames(result) <- c('Actuals','Forecasts','Residuals')
print(result)
}
if (par2 != 'none') {
print(cbind(as.factor(x[,par1]),predict(m)))
myt <- table(as.factor(x[,par1]),predict(m))
print(myt)
}
bitmap(file='test2.png')
if(par2=='none') {
op <- par(mfrow=c(2,2))
plot(density(result$Actuals),main='Kernel Density Plot of Actuals')
plot(density(result$Residuals),main='Kernel Density Plot of Residuals')
plot(result$Forecasts,result$Actuals,main='Actuals versus Predictions',xlab='Predictions',ylab='Actuals')
plot(density(result$Forecasts),main='Kernel Density Plot of Predictions')
par(op)
}
if(par2!='none') {
plot(myt,main='Confusion Matrix',xlab='Actual',ylab='Predicted')
}
dev.off()
if (par2 == 'none') {
detcoef <- cor(result$Forecasts,result$Actuals)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goodness of Fit',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Correlation',1,TRUE)
a<-table.element(a,round(detcoef,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'R-squared',1,TRUE)
a<-table.element(a,round(detcoef*detcoef,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'RMSE',1,TRUE)
a<-table.element(a,round(sqrt(mean((result$Residuals)^2)),4))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Actuals, Predictions, and Residuals',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'#',header=TRUE)
a<-table.element(a,'Actuals',header=TRUE)
a<-table.element(a,'Forecasts',header=TRUE)
a<-table.element(a,'Residuals',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(result$Actuals)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,result$Actuals[i])
a<-table.element(a,result$Forecasts[i])
a<-table.element(a,result$Residuals[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
}
if (par2 != 'none') {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Confusion Matrix (predicted in columns / actuals in rows)',par3+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',1,TRUE)
for (i in 1:par3) {
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
}
a<-table.row.end(a)
for (i in 1:par3) {
a<-table.row.start(a)
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
for (j in 1:par3) {
a<-table.element(a,myt[i,j])
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code