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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

Mon, 12 Dec 2011 17:41:50 -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/2011/Dec/12/t1323729723nbtkanzjp8ehb0h.htm/, Retrieved Fri, 03 May 2024 04:51:06 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154264, Retrieved Fri, 03 May 2024 04:51:06 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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 P   [Recursive Partitioning (Regression Trees)] [ws 10 Recursive p...] [2011-12-11 19:54:42] [8501ca4b76170905b8a207a77f626994]
-   PD      [Recursive Partitioning (Regression Trees)] [WS10.4] [2011-12-12 22:41:50] [5ae3d23a633522d14794d358c652ae9c] [Current]
-             [Recursive Partitioning (Regression Trees)] [WS10.5] [2011-12-12 22:54:12] [9e469a83342941fcd5c6dffbf184cd3a] 
-               [Recursive Partitioning (Regression Trees)] [WS10.6] [2011-12-12 23:11:26] [9e469a83342941fcd5c6dffbf184cd3a] 
-   P             [Recursive Partitioning (Regression Trees)] [Workshop 10_Cross...] [2011-12-13 16:34:22] [74be16979710d4c4e7c6647856088456] 

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Dataseries X:

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Histogram

Boxplots

1	41	38	13	12	14
1	39	32	16	11	18
1	30	35	19	15	11
0	31	33	15	6	12
1	34	37	14	13	16
1	35	29	13	10	18
1	39	31	19	12	14
1	34	36	15	14	14
1	36	35	14	12	15
1	37	38	15	9	15
0	38	31	16	10	17
1	36	34	16	12	19
0	38	35	16	12	10
1	39	38	16	11	16
1	33	37	17	15	18
0	32	33	15	12	14
0	36	32	15	10	14
1	38	38	20	12	17
0	39	38	18	11	14
1	32	32	16	12	16
0	32	33	16	11	18
1	31	31	16	12	11
1	39	38	19	13	14
1	37	39	16	11	12
0	39	32	17	12	17
1	41	32	17	13	9
0	36	35	16	10	16
1	33	37	15	14	14
1	33	33	16	12	15
0	34	33	14	10	11
1	31	31	15	12	16
0	27	32	12	8	13
1	37	31	14	10	17
1	34	37	16	12	15
0	34	30	14	12	14
0	32	33	10	7	16
0	29	31	10	9	9
0	36	33	14	12	15
1	29	31	16	10	17
0	35	33	16	10	13
0	37	32	16	10	15
1	34	33	14	12	16
0	38	32	20	15	16
0	35	33	14	10	12
1	38	28	14	10	15
1	37	35	11	12	11
1	38	39	14	13	15
1	33	34	15	11	15
1	36	38	16	11	17
0	38	32	14	12	13
1	32	38	16	14	16
0	32	30	14	10	14
0	32	33	12	12	11
1	34	38	16	13	12
0	32	32	9	5	12
1	37	35	14	6	15
1	39	34	16	12	16
1	29	34	16	12	15
0	37	36	15	11	12
1	35	34	16	10	12
0	30	28	12	7	8
0	38	34	16	12	13
1	34	35	16	14	11
1	31	35	14	11	14
1	34	31	16	12	15
0	35	37	17	13	10
1	36	35	18	14	11
0	30	27	18	11	12
1	39	40	12	12	15
0	35	37	16	12	15
0	38	36	10	8	14
1	31	38	14	11	16
1	34	39	18	14	15
0	38	41	18	14	15
0	34	27	16	12	13
1	39	30	17	9	12
1	37	37	16	13	17
1	34	31	16	11	13
0	28	31	13	12	15
0	37	27	16	12	13
0	33	36	16	12	15
1	35	37	16	12	15
0	37	33	15	12	16
1	32	34	15	11	15
1	33	31	16	10	14
0	38	39	14	9	15
1	33	34	16	12	14
1	29	32	16	12	13
1	33	33	15	12	7
1	31	36	12	9	17
1	36	32	17	15	13
1	35	41	16	12	15
1	32	28	15	12	14
1	29	30	13	12	13
1	39	36	16	10	16
1	37	35	16	13	12
1	35	31	16	9	14
0	37	34	16	12	17
0	32	36	14	10	15
1	38	36	16	14	17
0	37	35	16	11	12
1	36	37	20	15	16
0	32	28	15	11	11
1	33	39	16	11	15
0	40	32	13	12	9
1	38	35	17	12	16
0	41	39	16	12	15
0	36	35	16	11	10
1	43	42	12	7	10
1	30	34	16	12	15
1	31	33	16	14	11
1	32	41	17	11	13
1	37	34	12	10	18
0	37	32	18	13	16
1	33	40	14	13	14
1	34	40	14	8	14
1	33	35	13	11	14
1	38	36	16	12	14
0	33	37	13	11	12
1	31	27	16	13	14
1	38	39	13	12	15
1	37	38	16	14	15
1	36	31	15	13	15
1	31	33	16	15	13
0	39	32	15	10	17
1	44	39	17	11	17
1	33	36	15	9	19
1	35	33	12	11	15
0	32	33	16	10	13
0	28	32	10	11	9
1	40	37	16	8	15
0	27	30	12	11	15
0	37	38	14	12	15
1	32	29	15	12	16
0	28	22	13	9	11
0	34	35	15	11	14
1	30	35	11	10	11
1	35	34	12	8	15
0	31	35	11	9	13
1	32	34	16	8	15
0	30	37	15	9	16
1	30	35	17	15	14
0	31	23	16	11	15
1	40	31	10	8	16
1	32	27	18	13	16
0	36	36	13	12	11
0	32	31	16	12	12
0	35	32	13	9	9
1	38	39	10	7	16
1	42	37	15	13	13
0	34	38	16	9	16
1	35	39	16	6	12
1	38	34	14	8	9
1	33	31	10	8	13
1	32	37	13	6	14
1	33	36	15	9	19
1	34	32	16	11	13
1	32	38	12	8	12
0	27	26	13	10	10
0	31	26	12	8	14
0	38	33	17	14	16
1	34	39	15	10	10
0	24	30	10	8	11
0	30	33	14	11	14
1	26	25	11	12	12
1	34	38	13	12	9
0	27	37	16	12	9
0	37	31	12	5	11
1	36	37	16	12	16
0	41	35	12	10	9
1	29	25	9	7	13
1	36	28	12	12	16
0	32	35	15	11	13
1	37	33	12	8	9
0	30	30	12	9	12
1	31	31	14	10	16
1	38	37	12	9	11
1	36	36	16	12	14
0	35	30	11	6	13
0	31	36	19	15	15
0	38	32	15	12	14
1	22	28	8	12	16
1	32	36	16	12	13
0	36	34	17	11	14
1	39	31	12	7	15
0	28	28	11	7	13
0	32	36	11	5	11
1	32	36	14	12	11
1	38	40	16	12	14
1	32	33	12	3	15
1	35	37	16	11	11
1	32	32	13	10	15
0	37	38	15	12	12
1	34	31	16	9	14
1	33	37	16	12	14
0	33	33	14	9	8
0	30	30	16	12	9
0	24	30	14	10	15
0	34	31	11	9	17
0	34	32	12	12	13
1	33	34	15	8	15
1	34	36	15	11	15
1	35	37	16	11	14
0	35	36	16	12	16
0	36	33	11	10	13
0	34	33	15	10	16
1	34	33	12	12	9
0	41	44	12	12	16
0	32	39	15	11	11
0	30	32	15	8	10
1	35	35	16	12	11
0	28	25	14	10	15
1	33	35	17	11	17
1	39	34	14	10	14
0	36	35	13	8	8
1	36	39	15	12	15
0	35	33	13	12	11
0	38	36	14	10	16
1	33	32	15	12	10
0	31	32	12	9	15
1	32	36	8	6	16
0	31	32	14	10	19
0	33	34	14	9	12
0	34	33	11	9	8
0	34	35	12	9	11
1	34	30	13	6	14
0	33	38	10	10	9
0	32	34	16	6	15
1	41	33	18	14	13
1	34	32	13	10	16
0	36	31	11	10	11
0	37	30	4	6	12
0	36	27	13	12	13
1	29	31	16	12	10
0	37	30	10	7	11
0	27	32	12	8	12
0	35	35	12	11	8
0	28	28	10	3	12
0	35	33	13	6	12
0	29	35	12	8	11
0	32	35	14	9	13
1	36	32	10	9	14
1	19	21	12	8	10
1	21	20	12	9	12
0	31	34	11	7	15
0	33	32	10	7	13
1	36	34	12	6	13
1	33	32	16	9	13
0	37	33	12	10	12
0	34	33	14	11	12
0	35	37	16	12	9
1	31	32	14	8	9
1	37	34	13	11	15
1	35	30	4	3	10
1	27	30	15	11	14
0	34	38	11	12	15
0	40	36	11	7	7
0	29	32	14	9	14
0	38	34	15	12	8
1	34	33	14	8	10
0	21	27	13	11	13
0	36	32	11	8	13
1	38	34	15	10	13
0	30	29	11	8	8
0	35	35	13	7	12
1	30	27	13	8	13
1	36	33	16	10	12
0	34	38	13	8	10
1	35	36	16	12	13
0	34	33	16	14	12
0	32	39	12	7	9
1	33	29	7	6	15
0	33	32	16	11	13
1	26	34	5	4	13
0	35	38	16	9	13
0	21	17	4	5	15
0	38	35	12	9	15
0	35	32	15	11	14
1	33	34	14	12	15
0	37	36	11	9	11
0	38	31	16	12	15
1	34	35	15	10	14
0	27	29	12	9	13
1	16	22	6	6	12
0	40	41	16	10	16
0	36	36	10	9	16
1	42	42	15	13	9
1	30	33	14	12	14

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	7 seconds
R Server	'George Udny Yule' @ yule.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 & 7 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154264&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]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154264&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154264&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	7 seconds
R Server	'George Udny Yule' @ yule.wessa.net

Goodness of Fit
Correlation	0.7091
R-squared	0.5028
RMSE	1.8449

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.7091 \tabularnewline
R-squared & 0.5028 \tabularnewline
RMSE & 1.8449 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154264&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.7091[/C][/ROW]
[ROW][C]R-squared[/C][C]0.5028[/C][/ROW]
[ROW][C]RMSE[/C][C]1.8449[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154264&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154264&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	0.7091
R-squared	0.5028
RMSE	1.8449

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	13	15.0737704918033	-2.07377049180328
2	16	15.0737704918033	0.926229508196721
3	19	18.125	0.875
4	15	11.6818181818182	3.31818181818182
5	14	16.25	-2.25
6	13	15.0737704918033	-2.07377049180328
7	19	15.0737704918033	3.92622950819672
8	15	16.25	-1.25
9	14	15.0737704918033	-1.07377049180328
10	15	12.9473684210526	2.05263157894737
11	16	15.0737704918033	0.926229508196721
12	16	15.0737704918033	0.926229508196721
13	16	13.8928571428571	2.10714285714286
14	16	15.0737704918033	0.926229508196721
15	17	18.125	-1.125
16	15	15.0737704918033	-0.0737704918032787
17	15	15.0737704918033	-0.0737704918032787
18	20	15.0737704918033	4.92622950819672
19	18	15.0737704918033	2.92622950819672
20	16	15.0737704918033	0.926229508196721
21	16	15.0737704918033	0.926229508196721
22	16	13.8928571428571	2.10714285714286
23	19	16.25	2.75
24	16	15.0737704918033	0.926229508196721
25	17	15.0737704918033	1.92622950819672
26	17	16.25	0.75
27	16	15.0737704918033	0.926229508196721
28	15	16.25	-1.25
29	16	15.0737704918033	0.926229508196721
30	14	13.8928571428571	0.107142857142858
31	15	15.0737704918033	-0.0737704918032787
32	12	12.9473684210526	-0.947368421052632
33	14	15.0737704918033	-1.07377049180328
34	16	15.0737704918033	0.926229508196721
35	14	15.0737704918033	-1.07377049180328
36	10	11.6818181818182	-1.68181818181818
37	10	12.9473684210526	-2.94736842105263
38	14	15.0737704918033	-1.07377049180328
39	16	15.0737704918033	0.926229508196721
40	16	15.0737704918033	0.926229508196721
41	16	15.0737704918033	0.926229508196721
42	14	15.0737704918033	-1.07377049180328
43	20	18.125	1.875
44	14	15.0737704918033	-1.07377049180328
45	14	15.0737704918033	-1.07377049180328
46	11	13.8928571428571	-2.89285714285714
47	14	16.25	-2.25
48	15	15.0737704918033	-0.0737704918032787
49	16	15.0737704918033	0.926229508196721
50	14	15.0737704918033	-1.07377049180328
51	16	16.25	-0.25
52	14	15.0737704918033	-1.07377049180328
53	12	13.8928571428571	-1.89285714285714
54	16	16.25	-0.25
55	9	11.6818181818182	-2.68181818181818
56	14	11.6818181818182	2.31818181818182
57	16	15.0737704918033	0.926229508196721
58	16	15.0737704918033	0.926229508196721
59	15	15.0737704918033	-0.0737704918032787
60	16	15.0737704918033	0.926229508196721
61	12	8.41666666666667	3.58333333333333
62	16	15.0737704918033	0.926229508196721
63	16	16.25	-0.25
64	14	15.0737704918033	-1.07377049180328
65	16	15.0737704918033	0.926229508196721
66	17	16.25	0.75
67	18	16.25	1.75
68	18	15.0737704918033	2.92622950819672
69	12	15.0737704918033	-3.07377049180328
70	16	15.0737704918033	0.926229508196721
71	10	12.9473684210526	-2.94736842105263
72	14	15.0737704918033	-1.07377049180328
73	18	16.25	1.75
74	18	16.25	1.75
75	16	15.0737704918033	0.926229508196721
76	17	12.9473684210526	4.05263157894737
77	16	16.25	-0.25
78	16	15.0737704918033	0.926229508196721
79	13	12.6363636363636	0.363636363636363
80	16	15.0737704918033	0.926229508196721
81	16	15.0737704918033	0.926229508196721
82	16	15.0737704918033	0.926229508196721
83	15	15.0737704918033	-0.0737704918032787
84	15	15.0737704918033	-0.0737704918032787
85	16	15.0737704918033	0.926229508196721
86	14	12.9473684210526	1.05263157894737
87	16	15.0737704918033	0.926229508196721
88	16	15.0737704918033	0.926229508196721
89	15	13.8928571428571	1.10714285714286
90	12	12.9473684210526	-0.947368421052632
91	17	18.125	-1.125
92	16	15.0737704918033	0.926229508196721
93	15	15.0737704918033	-0.0737704918032787
94	13	15.0737704918033	-2.07377049180328
95	16	15.0737704918033	0.926229508196721
96	16	16.25	-0.25
97	16	12.9473684210526	3.05263157894737
98	16	15.0737704918033	0.926229508196721
99	14	15.0737704918033	-1.07377049180328
100	16	16.25	-0.25
101	16	15.0737704918033	0.926229508196721
102	20	18.125	1.875
103	15	13.8928571428571	1.10714285714286
104	16	15.0737704918033	0.926229508196721
105	13	13.8928571428571	-0.892857142857142
106	17	15.0737704918033	1.92622950819672
107	16	15.0737704918033	0.926229508196721
108	16	13.8928571428571	2.10714285714286
109	12	11.6818181818182	0.318181818181818
110	16	15.0737704918033	0.926229508196721
111	16	16.25	-0.25
112	17	15.0737704918033	1.92622950819672
113	12	15.0737704918033	-3.07377049180328
114	18	16.25	1.75
115	14	16.25	-2.25
116	14	12.9473684210526	1.05263157894737
117	13	15.0737704918033	-2.07377049180328
118	16	15.0737704918033	0.926229508196721
119	13	15.0737704918033	-2.07377049180328
120	16	16.25	-0.25
121	13	15.0737704918033	-2.07377049180328
122	16	16.25	-0.25
123	15	16.25	-1.25
124	16	18.125	-2.125
125	15	15.0737704918033	-0.0737704918032787
126	17	15.0737704918033	1.92622950819672
127	15	12.9473684210526	2.05263157894737
128	12	15.0737704918033	-3.07377049180328
129	16	15.0737704918033	0.926229508196721
130	10	12.6363636363636	-2.63636363636364
131	16	12.9473684210526	3.05263157894737
132	12	12.6363636363636	-0.636363636363637
133	14	15.0737704918033	-1.07377049180328
134	15	15.0737704918033	-0.0737704918032787
135	13	12.9473684210526	0.0526315789473681
136	15	15.0737704918033	-0.0737704918032787
137	11	13.8928571428571	-2.89285714285714
138	12	12.9473684210526	-0.947368421052632
139	11	12.9473684210526	-1.94736842105263
140	16	12.9473684210526	3.05263157894737
141	15	12.9473684210526	2.05263157894737
142	17	18.125	-1.125
143	16	15.0737704918033	0.926229508196721
144	10	12.9473684210526	-2.94736842105263
145	18	16.25	1.75
146	13	13.8928571428571	-0.892857142857142
147	16	15.0737704918033	0.926229508196721
148	13	12.9473684210526	0.0526315789473681
149	10	11.6818181818182	-1.68181818181818
150	15	16.25	-1.25
151	16	12.9473684210526	3.05263157894737
152	16	11.6818181818182	4.31818181818182
153	14	12.9473684210526	1.05263157894737
154	10	12.9473684210526	-2.94736842105263
155	13	11.6818181818182	1.31818181818182
156	15	12.9473684210526	2.05263157894737
157	16	15.0737704918033	0.926229508196721
158	12	12.9473684210526	-0.947368421052632
159	13	12.6363636363636	0.363636363636363
160	12	12.9473684210526	-0.947368421052632
161	17	16.25	0.75
162	15	13.8928571428571	1.10714285714286
163	10	12.9473684210526	-2.94736842105263
164	14	15.0737704918033	-1.07377049180328
165	11	12.6363636363636	-1.63636363636364
166	13	13.8928571428571	-0.892857142857142
167	16	12.6363636363636	3.36363636363636
168	12	11.6818181818182	0.318181818181818
169	16	15.0737704918033	0.926229508196721
170	12	13.8928571428571	-1.89285714285714
171	9	8.41666666666667	0.583333333333334
172	12	15.0737704918033	-3.07377049180328
173	15	15.0737704918033	-0.0737704918032787
174	12	12.9473684210526	-0.947368421052632
175	12	12.9473684210526	-0.947368421052632
176	14	15.0737704918033	-1.07377049180328
177	12	12.9473684210526	-0.947368421052632
178	16	15.0737704918033	0.926229508196721
179	11	8.41666666666667	2.58333333333333
180	19	18.125	0.875
181	15	15.0737704918033	-0.0737704918032787
182	8	12.6363636363636	-4.63636363636364
183	16	15.0737704918033	0.926229508196721
184	17	15.0737704918033	1.92622950819672
185	12	11.6818181818182	0.318181818181818
186	11	8.41666666666667	2.58333333333333
187	11	11.6818181818182	-0.681818181818182
188	14	13.8928571428571	0.107142857142858
189	16	15.0737704918033	0.926229508196721
190	12	11.6818181818182	0.318181818181818
191	16	13.8928571428571	2.10714285714286
192	13	15.0737704918033	-2.07377049180328
193	15	15.0737704918033	-0.0737704918032787
194	16	12.9473684210526	3.05263157894737
195	16	15.0737704918033	0.926229508196721
196	14	12.9473684210526	1.05263157894737
197	16	13.8928571428571	2.10714285714286
198	14	12.6363636363636	1.36363636363636
199	11	12.9473684210526	-1.94736842105263
200	12	15.0737704918033	-3.07377049180328
201	15	12.9473684210526	2.05263157894737
202	15	15.0737704918033	-0.0737704918032787
203	16	15.0737704918033	0.926229508196721
204	16	15.0737704918033	0.926229508196721
205	11	15.0737704918033	-4.07377049180328
206	15	15.0737704918033	-0.0737704918032787
207	12	13.8928571428571	-1.89285714285714
208	12	15.0737704918033	-3.07377049180328
209	15	13.8928571428571	1.10714285714286
210	15	12.9473684210526	2.05263157894737
211	16	13.8928571428571	2.10714285714286
212	14	12.6363636363636	1.36363636363636
213	17	15.0737704918033	1.92622950819672
214	14	15.0737704918033	-1.07377049180328
215	13	12.9473684210526	0.0526315789473681
216	15	15.0737704918033	-0.0737704918032787
217	13	13.8928571428571	-0.892857142857142
218	14	15.0737704918033	-1.07377049180328
219	15	13.8928571428571	1.10714285714286
220	12	12.9473684210526	-0.947368421052632
221	8	11.6818181818182	-3.68181818181818
222	14	15.0737704918033	-1.07377049180328
223	14	12.9473684210526	1.05263157894737
224	11	12.9473684210526	-1.94736842105263
225	12	12.9473684210526	-0.947368421052632
226	13	8.41666666666667	4.58333333333333
227	10	13.8928571428571	-3.89285714285714
228	16	11.6818181818182	4.31818181818182
229	18	16.25	1.75
230	13	15.0737704918033	-2.07377049180328
231	11	13.8928571428571	-2.89285714285714
232	4	8.41666666666667	-4.41666666666667
233	13	15.0737704918033	-2.07377049180328
234	16	13.8928571428571	2.10714285714286
235	10	8.41666666666667	1.58333333333333
236	12	12.9473684210526	-0.947368421052632
237	12	13.8928571428571	-1.89285714285714
238	10	8.41666666666667	1.58333333333333
239	13	11.6818181818182	1.31818181818182
240	12	12.9473684210526	-0.947368421052632
241	14	12.9473684210526	1.05263157894737
242	10	12.9473684210526	-2.94736842105263
243	12	12.9473684210526	-0.947368421052632
244	12	12.9473684210526	-0.947368421052632
245	11	11.6818181818182	-0.681818181818182
246	10	11.6818181818182	-1.68181818181818
247	12	11.6818181818182	0.318181818181818
248	16	12.9473684210526	3.05263157894737
249	12	15.0737704918033	-3.07377049180328
250	14	15.0737704918033	-1.07377049180328
251	16	13.8928571428571	2.10714285714286
252	14	12.9473684210526	1.05263157894737
253	13	15.0737704918033	-2.07377049180328
254	4	8.41666666666667	-4.41666666666667
255	15	12.6363636363636	2.36363636363636
256	11	15.0737704918033	-4.07377049180328
257	11	11.6818181818182	-0.681818181818182
258	14	12.9473684210526	1.05263157894737
259	15	13.8928571428571	1.10714285714286
260	14	12.9473684210526	1.05263157894737
261	13	12.6363636363636	0.363636363636363
262	11	12.9473684210526	-1.94736842105263
263	15	15.0737704918033	-0.0737704918032787
264	11	12.9473684210526	-1.94736842105263
265	13	11.6818181818182	1.31818181818182
266	13	12.9473684210526	0.0526315789473681
267	16	15.0737704918033	0.926229508196721
268	13	12.9473684210526	0.0526315789473681
269	16	15.0737704918033	0.926229508196721
270	16	16.25	-0.25
271	12	11.6818181818182	0.318181818181818
272	7	8.41666666666667	-1.41666666666667
273	16	15.0737704918033	0.926229508196721
274	5	11.6818181818182	-6.68181818181818
275	16	12.9473684210526	3.05263157894737
276	4	8.41666666666667	-4.41666666666667
277	12	12.9473684210526	-0.947368421052632
278	15	15.0737704918033	-0.0737704918032787
279	14	15.0737704918033	-1.07377049180328
280	11	12.9473684210526	-1.94736842105263
281	16	15.0737704918033	0.926229508196721
282	15	15.0737704918033	-0.0737704918032787
283	12	12.9473684210526	-0.947368421052632
284	6	8.41666666666667	-2.41666666666667
285	16	15.0737704918033	0.926229508196721
286	10	12.9473684210526	-2.94736842105263
287	15	16.25	-1.25
288	14	15.0737704918033	-1.07377049180328

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 13 & 15.0737704918033 & -2.07377049180328 \tabularnewline
2 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
3 & 19 & 18.125 & 0.875 \tabularnewline
4 & 15 & 11.6818181818182 & 3.31818181818182 \tabularnewline
5 & 14 & 16.25 & -2.25 \tabularnewline
6 & 13 & 15.0737704918033 & -2.07377049180328 \tabularnewline
7 & 19 & 15.0737704918033 & 3.92622950819672 \tabularnewline
8 & 15 & 16.25 & -1.25 \tabularnewline
9 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
10 & 15 & 12.9473684210526 & 2.05263157894737 \tabularnewline
11 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
12 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
13 & 16 & 13.8928571428571 & 2.10714285714286 \tabularnewline
14 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
15 & 17 & 18.125 & -1.125 \tabularnewline
16 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
17 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
18 & 20 & 15.0737704918033 & 4.92622950819672 \tabularnewline
19 & 18 & 15.0737704918033 & 2.92622950819672 \tabularnewline
20 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
21 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
22 & 16 & 13.8928571428571 & 2.10714285714286 \tabularnewline
23 & 19 & 16.25 & 2.75 \tabularnewline
24 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
25 & 17 & 15.0737704918033 & 1.92622950819672 \tabularnewline
26 & 17 & 16.25 & 0.75 \tabularnewline
27 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
28 & 15 & 16.25 & -1.25 \tabularnewline
29 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
30 & 14 & 13.8928571428571 & 0.107142857142858 \tabularnewline
31 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
32 & 12 & 12.9473684210526 & -0.947368421052632 \tabularnewline
33 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
34 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
35 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
36 & 10 & 11.6818181818182 & -1.68181818181818 \tabularnewline
37 & 10 & 12.9473684210526 & -2.94736842105263 \tabularnewline
38 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
39 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
40 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
41 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
42 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
43 & 20 & 18.125 & 1.875 \tabularnewline
44 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
45 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
46 & 11 & 13.8928571428571 & -2.89285714285714 \tabularnewline
47 & 14 & 16.25 & -2.25 \tabularnewline
48 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
49 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
50 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
51 & 16 & 16.25 & -0.25 \tabularnewline
52 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
53 & 12 & 13.8928571428571 & -1.89285714285714 \tabularnewline
54 & 16 & 16.25 & -0.25 \tabularnewline
55 & 9 & 11.6818181818182 & -2.68181818181818 \tabularnewline
56 & 14 & 11.6818181818182 & 2.31818181818182 \tabularnewline
57 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
58 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
59 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
60 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
61 & 12 & 8.41666666666667 & 3.58333333333333 \tabularnewline
62 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
63 & 16 & 16.25 & -0.25 \tabularnewline
64 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
65 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
66 & 17 & 16.25 & 0.75 \tabularnewline
67 & 18 & 16.25 & 1.75 \tabularnewline
68 & 18 & 15.0737704918033 & 2.92622950819672 \tabularnewline
69 & 12 & 15.0737704918033 & -3.07377049180328 \tabularnewline
70 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
71 & 10 & 12.9473684210526 & -2.94736842105263 \tabularnewline
72 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
73 & 18 & 16.25 & 1.75 \tabularnewline
74 & 18 & 16.25 & 1.75 \tabularnewline
75 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
76 & 17 & 12.9473684210526 & 4.05263157894737 \tabularnewline
77 & 16 & 16.25 & -0.25 \tabularnewline
78 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
79 & 13 & 12.6363636363636 & 0.363636363636363 \tabularnewline
80 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
81 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
82 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
83 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
84 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
85 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
86 & 14 & 12.9473684210526 & 1.05263157894737 \tabularnewline
87 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
88 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
89 & 15 & 13.8928571428571 & 1.10714285714286 \tabularnewline
90 & 12 & 12.9473684210526 & -0.947368421052632 \tabularnewline
91 & 17 & 18.125 & -1.125 \tabularnewline
92 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
93 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
94 & 13 & 15.0737704918033 & -2.07377049180328 \tabularnewline
95 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
96 & 16 & 16.25 & -0.25 \tabularnewline
97 & 16 & 12.9473684210526 & 3.05263157894737 \tabularnewline
98 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
99 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
100 & 16 & 16.25 & -0.25 \tabularnewline
101 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
102 & 20 & 18.125 & 1.875 \tabularnewline
103 & 15 & 13.8928571428571 & 1.10714285714286 \tabularnewline
104 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
105 & 13 & 13.8928571428571 & -0.892857142857142 \tabularnewline
106 & 17 & 15.0737704918033 & 1.92622950819672 \tabularnewline
107 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
108 & 16 & 13.8928571428571 & 2.10714285714286 \tabularnewline
109 & 12 & 11.6818181818182 & 0.318181818181818 \tabularnewline
110 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
111 & 16 & 16.25 & -0.25 \tabularnewline
112 & 17 & 15.0737704918033 & 1.92622950819672 \tabularnewline
113 & 12 & 15.0737704918033 & -3.07377049180328 \tabularnewline
114 & 18 & 16.25 & 1.75 \tabularnewline
115 & 14 & 16.25 & -2.25 \tabularnewline
116 & 14 & 12.9473684210526 & 1.05263157894737 \tabularnewline
117 & 13 & 15.0737704918033 & -2.07377049180328 \tabularnewline
118 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
119 & 13 & 15.0737704918033 & -2.07377049180328 \tabularnewline
120 & 16 & 16.25 & -0.25 \tabularnewline
121 & 13 & 15.0737704918033 & -2.07377049180328 \tabularnewline
122 & 16 & 16.25 & -0.25 \tabularnewline
123 & 15 & 16.25 & -1.25 \tabularnewline
124 & 16 & 18.125 & -2.125 \tabularnewline
125 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
126 & 17 & 15.0737704918033 & 1.92622950819672 \tabularnewline
127 & 15 & 12.9473684210526 & 2.05263157894737 \tabularnewline
128 & 12 & 15.0737704918033 & -3.07377049180328 \tabularnewline
129 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
130 & 10 & 12.6363636363636 & -2.63636363636364 \tabularnewline
131 & 16 & 12.9473684210526 & 3.05263157894737 \tabularnewline
132 & 12 & 12.6363636363636 & -0.636363636363637 \tabularnewline
133 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
134 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
135 & 13 & 12.9473684210526 & 0.0526315789473681 \tabularnewline
136 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
137 & 11 & 13.8928571428571 & -2.89285714285714 \tabularnewline
138 & 12 & 12.9473684210526 & -0.947368421052632 \tabularnewline
139 & 11 & 12.9473684210526 & -1.94736842105263 \tabularnewline
140 & 16 & 12.9473684210526 & 3.05263157894737 \tabularnewline
141 & 15 & 12.9473684210526 & 2.05263157894737 \tabularnewline
142 & 17 & 18.125 & -1.125 \tabularnewline
143 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
144 & 10 & 12.9473684210526 & -2.94736842105263 \tabularnewline
145 & 18 & 16.25 & 1.75 \tabularnewline
146 & 13 & 13.8928571428571 & -0.892857142857142 \tabularnewline
147 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
148 & 13 & 12.9473684210526 & 0.0526315789473681 \tabularnewline
149 & 10 & 11.6818181818182 & -1.68181818181818 \tabularnewline
150 & 15 & 16.25 & -1.25 \tabularnewline
151 & 16 & 12.9473684210526 & 3.05263157894737 \tabularnewline
152 & 16 & 11.6818181818182 & 4.31818181818182 \tabularnewline
153 & 14 & 12.9473684210526 & 1.05263157894737 \tabularnewline
154 & 10 & 12.9473684210526 & -2.94736842105263 \tabularnewline
155 & 13 & 11.6818181818182 & 1.31818181818182 \tabularnewline
156 & 15 & 12.9473684210526 & 2.05263157894737 \tabularnewline
157 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
158 & 12 & 12.9473684210526 & -0.947368421052632 \tabularnewline
159 & 13 & 12.6363636363636 & 0.363636363636363 \tabularnewline
160 & 12 & 12.9473684210526 & -0.947368421052632 \tabularnewline
161 & 17 & 16.25 & 0.75 \tabularnewline
162 & 15 & 13.8928571428571 & 1.10714285714286 \tabularnewline
163 & 10 & 12.9473684210526 & -2.94736842105263 \tabularnewline
164 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
165 & 11 & 12.6363636363636 & -1.63636363636364 \tabularnewline
166 & 13 & 13.8928571428571 & -0.892857142857142 \tabularnewline
167 & 16 & 12.6363636363636 & 3.36363636363636 \tabularnewline
168 & 12 & 11.6818181818182 & 0.318181818181818 \tabularnewline
169 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
170 & 12 & 13.8928571428571 & -1.89285714285714 \tabularnewline
171 & 9 & 8.41666666666667 & 0.583333333333334 \tabularnewline
172 & 12 & 15.0737704918033 & -3.07377049180328 \tabularnewline
173 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
174 & 12 & 12.9473684210526 & -0.947368421052632 \tabularnewline
175 & 12 & 12.9473684210526 & -0.947368421052632 \tabularnewline
176 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
177 & 12 & 12.9473684210526 & -0.947368421052632 \tabularnewline
178 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
179 & 11 & 8.41666666666667 & 2.58333333333333 \tabularnewline
180 & 19 & 18.125 & 0.875 \tabularnewline
181 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
182 & 8 & 12.6363636363636 & -4.63636363636364 \tabularnewline
183 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
184 & 17 & 15.0737704918033 & 1.92622950819672 \tabularnewline
185 & 12 & 11.6818181818182 & 0.318181818181818 \tabularnewline
186 & 11 & 8.41666666666667 & 2.58333333333333 \tabularnewline
187 & 11 & 11.6818181818182 & -0.681818181818182 \tabularnewline
188 & 14 & 13.8928571428571 & 0.107142857142858 \tabularnewline
189 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
190 & 12 & 11.6818181818182 & 0.318181818181818 \tabularnewline
191 & 16 & 13.8928571428571 & 2.10714285714286 \tabularnewline
192 & 13 & 15.0737704918033 & -2.07377049180328 \tabularnewline
193 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
194 & 16 & 12.9473684210526 & 3.05263157894737 \tabularnewline
195 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
196 & 14 & 12.9473684210526 & 1.05263157894737 \tabularnewline
197 & 16 & 13.8928571428571 & 2.10714285714286 \tabularnewline
198 & 14 & 12.6363636363636 & 1.36363636363636 \tabularnewline
199 & 11 & 12.9473684210526 & -1.94736842105263 \tabularnewline
200 & 12 & 15.0737704918033 & -3.07377049180328 \tabularnewline
201 & 15 & 12.9473684210526 & 2.05263157894737 \tabularnewline
202 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
203 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
204 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
205 & 11 & 15.0737704918033 & -4.07377049180328 \tabularnewline
206 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
207 & 12 & 13.8928571428571 & -1.89285714285714 \tabularnewline
208 & 12 & 15.0737704918033 & -3.07377049180328 \tabularnewline
209 & 15 & 13.8928571428571 & 1.10714285714286 \tabularnewline
210 & 15 & 12.9473684210526 & 2.05263157894737 \tabularnewline
211 & 16 & 13.8928571428571 & 2.10714285714286 \tabularnewline
212 & 14 & 12.6363636363636 & 1.36363636363636 \tabularnewline
213 & 17 & 15.0737704918033 & 1.92622950819672 \tabularnewline
214 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
215 & 13 & 12.9473684210526 & 0.0526315789473681 \tabularnewline
216 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
217 & 13 & 13.8928571428571 & -0.892857142857142 \tabularnewline
218 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
219 & 15 & 13.8928571428571 & 1.10714285714286 \tabularnewline
220 & 12 & 12.9473684210526 & -0.947368421052632 \tabularnewline
221 & 8 & 11.6818181818182 & -3.68181818181818 \tabularnewline
222 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
223 & 14 & 12.9473684210526 & 1.05263157894737 \tabularnewline
224 & 11 & 12.9473684210526 & -1.94736842105263 \tabularnewline
225 & 12 & 12.9473684210526 & -0.947368421052632 \tabularnewline
226 & 13 & 8.41666666666667 & 4.58333333333333 \tabularnewline
227 & 10 & 13.8928571428571 & -3.89285714285714 \tabularnewline
228 & 16 & 11.6818181818182 & 4.31818181818182 \tabularnewline
229 & 18 & 16.25 & 1.75 \tabularnewline
230 & 13 & 15.0737704918033 & -2.07377049180328 \tabularnewline
231 & 11 & 13.8928571428571 & -2.89285714285714 \tabularnewline
232 & 4 & 8.41666666666667 & -4.41666666666667 \tabularnewline
233 & 13 & 15.0737704918033 & -2.07377049180328 \tabularnewline
234 & 16 & 13.8928571428571 & 2.10714285714286 \tabularnewline
235 & 10 & 8.41666666666667 & 1.58333333333333 \tabularnewline
236 & 12 & 12.9473684210526 & -0.947368421052632 \tabularnewline
237 & 12 & 13.8928571428571 & -1.89285714285714 \tabularnewline
238 & 10 & 8.41666666666667 & 1.58333333333333 \tabularnewline
239 & 13 & 11.6818181818182 & 1.31818181818182 \tabularnewline
240 & 12 & 12.9473684210526 & -0.947368421052632 \tabularnewline
241 & 14 & 12.9473684210526 & 1.05263157894737 \tabularnewline
242 & 10 & 12.9473684210526 & -2.94736842105263 \tabularnewline
243 & 12 & 12.9473684210526 & -0.947368421052632 \tabularnewline
244 & 12 & 12.9473684210526 & -0.947368421052632 \tabularnewline
245 & 11 & 11.6818181818182 & -0.681818181818182 \tabularnewline
246 & 10 & 11.6818181818182 & -1.68181818181818 \tabularnewline
247 & 12 & 11.6818181818182 & 0.318181818181818 \tabularnewline
248 & 16 & 12.9473684210526 & 3.05263157894737 \tabularnewline
249 & 12 & 15.0737704918033 & -3.07377049180328 \tabularnewline
250 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
251 & 16 & 13.8928571428571 & 2.10714285714286 \tabularnewline
252 & 14 & 12.9473684210526 & 1.05263157894737 \tabularnewline
253 & 13 & 15.0737704918033 & -2.07377049180328 \tabularnewline
254 & 4 & 8.41666666666667 & -4.41666666666667 \tabularnewline
255 & 15 & 12.6363636363636 & 2.36363636363636 \tabularnewline
256 & 11 & 15.0737704918033 & -4.07377049180328 \tabularnewline
257 & 11 & 11.6818181818182 & -0.681818181818182 \tabularnewline
258 & 14 & 12.9473684210526 & 1.05263157894737 \tabularnewline
259 & 15 & 13.8928571428571 & 1.10714285714286 \tabularnewline
260 & 14 & 12.9473684210526 & 1.05263157894737 \tabularnewline
261 & 13 & 12.6363636363636 & 0.363636363636363 \tabularnewline
262 & 11 & 12.9473684210526 & -1.94736842105263 \tabularnewline
263 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
264 & 11 & 12.9473684210526 & -1.94736842105263 \tabularnewline
265 & 13 & 11.6818181818182 & 1.31818181818182 \tabularnewline
266 & 13 & 12.9473684210526 & 0.0526315789473681 \tabularnewline
267 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
268 & 13 & 12.9473684210526 & 0.0526315789473681 \tabularnewline
269 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
270 & 16 & 16.25 & -0.25 \tabularnewline
271 & 12 & 11.6818181818182 & 0.318181818181818 \tabularnewline
272 & 7 & 8.41666666666667 & -1.41666666666667 \tabularnewline
273 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
274 & 5 & 11.6818181818182 & -6.68181818181818 \tabularnewline
275 & 16 & 12.9473684210526 & 3.05263157894737 \tabularnewline
276 & 4 & 8.41666666666667 & -4.41666666666667 \tabularnewline
277 & 12 & 12.9473684210526 & -0.947368421052632 \tabularnewline
278 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
279 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
280 & 11 & 12.9473684210526 & -1.94736842105263 \tabularnewline
281 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
282 & 15 & 15.0737704918033 & -0.0737704918032787 \tabularnewline
283 & 12 & 12.9473684210526 & -0.947368421052632 \tabularnewline
284 & 6 & 8.41666666666667 & -2.41666666666667 \tabularnewline
285 & 16 & 15.0737704918033 & 0.926229508196721 \tabularnewline
286 & 10 & 12.9473684210526 & -2.94736842105263 \tabularnewline
287 & 15 & 16.25 & -1.25 \tabularnewline
288 & 14 & 15.0737704918033 & -1.07377049180328 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154264&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]13[/C][C]15.0737704918033[/C][C]-2.07377049180328[/C][/ROW]
[ROW][C]2[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]3[/C][C]19[/C][C]18.125[/C][C]0.875[/C][/ROW]
[ROW][C]4[/C][C]15[/C][C]11.6818181818182[/C][C]3.31818181818182[/C][/ROW]
[ROW][C]5[/C][C]14[/C][C]16.25[/C][C]-2.25[/C][/ROW]
[ROW][C]6[/C][C]13[/C][C]15.0737704918033[/C][C]-2.07377049180328[/C][/ROW]
[ROW][C]7[/C][C]19[/C][C]15.0737704918033[/C][C]3.92622950819672[/C][/ROW]
[ROW][C]8[/C][C]15[/C][C]16.25[/C][C]-1.25[/C][/ROW]
[ROW][C]9[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]10[/C][C]15[/C][C]12.9473684210526[/C][C]2.05263157894737[/C][/ROW]
[ROW][C]11[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]12[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]13[/C][C]16[/C][C]13.8928571428571[/C][C]2.10714285714286[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]15[/C][C]17[/C][C]18.125[/C][C]-1.125[/C][/ROW]
[ROW][C]16[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]17[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]18[/C][C]20[/C][C]15.0737704918033[/C][C]4.92622950819672[/C][/ROW]
[ROW][C]19[/C][C]18[/C][C]15.0737704918033[/C][C]2.92622950819672[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]21[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]22[/C][C]16[/C][C]13.8928571428571[/C][C]2.10714285714286[/C][/ROW]
[ROW][C]23[/C][C]19[/C][C]16.25[/C][C]2.75[/C][/ROW]
[ROW][C]24[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]25[/C][C]17[/C][C]15.0737704918033[/C][C]1.92622950819672[/C][/ROW]
[ROW][C]26[/C][C]17[/C][C]16.25[/C][C]0.75[/C][/ROW]
[ROW][C]27[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]28[/C][C]15[/C][C]16.25[/C][C]-1.25[/C][/ROW]
[ROW][C]29[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]30[/C][C]14[/C][C]13.8928571428571[/C][C]0.107142857142858[/C][/ROW]
[ROW][C]31[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]32[/C][C]12[/C][C]12.9473684210526[/C][C]-0.947368421052632[/C][/ROW]
[ROW][C]33[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]34[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]35[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]36[/C][C]10[/C][C]11.6818181818182[/C][C]-1.68181818181818[/C][/ROW]
[ROW][C]37[/C][C]10[/C][C]12.9473684210526[/C][C]-2.94736842105263[/C][/ROW]
[ROW][C]38[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]39[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]40[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]41[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]42[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]43[/C][C]20[/C][C]18.125[/C][C]1.875[/C][/ROW]
[ROW][C]44[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]45[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]13.8928571428571[/C][C]-2.89285714285714[/C][/ROW]
[ROW][C]47[/C][C]14[/C][C]16.25[/C][C]-2.25[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]49[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]50[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]51[/C][C]16[/C][C]16.25[/C][C]-0.25[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]53[/C][C]12[/C][C]13.8928571428571[/C][C]-1.89285714285714[/C][/ROW]
[ROW][C]54[/C][C]16[/C][C]16.25[/C][C]-0.25[/C][/ROW]
[ROW][C]55[/C][C]9[/C][C]11.6818181818182[/C][C]-2.68181818181818[/C][/ROW]
[ROW][C]56[/C][C]14[/C][C]11.6818181818182[/C][C]2.31818181818182[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]58[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]59[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]60[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]61[/C][C]12[/C][C]8.41666666666667[/C][C]3.58333333333333[/C][/ROW]
[ROW][C]62[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]63[/C][C]16[/C][C]16.25[/C][C]-0.25[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]65[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]66[/C][C]17[/C][C]16.25[/C][C]0.75[/C][/ROW]
[ROW][C]67[/C][C]18[/C][C]16.25[/C][C]1.75[/C][/ROW]
[ROW][C]68[/C][C]18[/C][C]15.0737704918033[/C][C]2.92622950819672[/C][/ROW]
[ROW][C]69[/C][C]12[/C][C]15.0737704918033[/C][C]-3.07377049180328[/C][/ROW]
[ROW][C]70[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]71[/C][C]10[/C][C]12.9473684210526[/C][C]-2.94736842105263[/C][/ROW]
[ROW][C]72[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]73[/C][C]18[/C][C]16.25[/C][C]1.75[/C][/ROW]
[ROW][C]74[/C][C]18[/C][C]16.25[/C][C]1.75[/C][/ROW]
[ROW][C]75[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]76[/C][C]17[/C][C]12.9473684210526[/C][C]4.05263157894737[/C][/ROW]
[ROW][C]77[/C][C]16[/C][C]16.25[/C][C]-0.25[/C][/ROW]
[ROW][C]78[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]79[/C][C]13[/C][C]12.6363636363636[/C][C]0.363636363636363[/C][/ROW]
[ROW][C]80[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]81[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]82[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]83[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]84[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]85[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]86[/C][C]14[/C][C]12.9473684210526[/C][C]1.05263157894737[/C][/ROW]
[ROW][C]87[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]88[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]89[/C][C]15[/C][C]13.8928571428571[/C][C]1.10714285714286[/C][/ROW]
[ROW][C]90[/C][C]12[/C][C]12.9473684210526[/C][C]-0.947368421052632[/C][/ROW]
[ROW][C]91[/C][C]17[/C][C]18.125[/C][C]-1.125[/C][/ROW]
[ROW][C]92[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]93[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]15.0737704918033[/C][C]-2.07377049180328[/C][/ROW]
[ROW][C]95[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]96[/C][C]16[/C][C]16.25[/C][C]-0.25[/C][/ROW]
[ROW][C]97[/C][C]16[/C][C]12.9473684210526[/C][C]3.05263157894737[/C][/ROW]
[ROW][C]98[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]99[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]100[/C][C]16[/C][C]16.25[/C][C]-0.25[/C][/ROW]
[ROW][C]101[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]102[/C][C]20[/C][C]18.125[/C][C]1.875[/C][/ROW]
[ROW][C]103[/C][C]15[/C][C]13.8928571428571[/C][C]1.10714285714286[/C][/ROW]
[ROW][C]104[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]105[/C][C]13[/C][C]13.8928571428571[/C][C]-0.892857142857142[/C][/ROW]
[ROW][C]106[/C][C]17[/C][C]15.0737704918033[/C][C]1.92622950819672[/C][/ROW]
[ROW][C]107[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]108[/C][C]16[/C][C]13.8928571428571[/C][C]2.10714285714286[/C][/ROW]
[ROW][C]109[/C][C]12[/C][C]11.6818181818182[/C][C]0.318181818181818[/C][/ROW]
[ROW][C]110[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]111[/C][C]16[/C][C]16.25[/C][C]-0.25[/C][/ROW]
[ROW][C]112[/C][C]17[/C][C]15.0737704918033[/C][C]1.92622950819672[/C][/ROW]
[ROW][C]113[/C][C]12[/C][C]15.0737704918033[/C][C]-3.07377049180328[/C][/ROW]
[ROW][C]114[/C][C]18[/C][C]16.25[/C][C]1.75[/C][/ROW]
[ROW][C]115[/C][C]14[/C][C]16.25[/C][C]-2.25[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]12.9473684210526[/C][C]1.05263157894737[/C][/ROW]
[ROW][C]117[/C][C]13[/C][C]15.0737704918033[/C][C]-2.07377049180328[/C][/ROW]
[ROW][C]118[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]119[/C][C]13[/C][C]15.0737704918033[/C][C]-2.07377049180328[/C][/ROW]
[ROW][C]120[/C][C]16[/C][C]16.25[/C][C]-0.25[/C][/ROW]
[ROW][C]121[/C][C]13[/C][C]15.0737704918033[/C][C]-2.07377049180328[/C][/ROW]
[ROW][C]122[/C][C]16[/C][C]16.25[/C][C]-0.25[/C][/ROW]
[ROW][C]123[/C][C]15[/C][C]16.25[/C][C]-1.25[/C][/ROW]
[ROW][C]124[/C][C]16[/C][C]18.125[/C][C]-2.125[/C][/ROW]
[ROW][C]125[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]126[/C][C]17[/C][C]15.0737704918033[/C][C]1.92622950819672[/C][/ROW]
[ROW][C]127[/C][C]15[/C][C]12.9473684210526[/C][C]2.05263157894737[/C][/ROW]
[ROW][C]128[/C][C]12[/C][C]15.0737704918033[/C][C]-3.07377049180328[/C][/ROW]
[ROW][C]129[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]130[/C][C]10[/C][C]12.6363636363636[/C][C]-2.63636363636364[/C][/ROW]
[ROW][C]131[/C][C]16[/C][C]12.9473684210526[/C][C]3.05263157894737[/C][/ROW]
[ROW][C]132[/C][C]12[/C][C]12.6363636363636[/C][C]-0.636363636363637[/C][/ROW]
[ROW][C]133[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]134[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]135[/C][C]13[/C][C]12.9473684210526[/C][C]0.0526315789473681[/C][/ROW]
[ROW][C]136[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]137[/C][C]11[/C][C]13.8928571428571[/C][C]-2.89285714285714[/C][/ROW]
[ROW][C]138[/C][C]12[/C][C]12.9473684210526[/C][C]-0.947368421052632[/C][/ROW]
[ROW][C]139[/C][C]11[/C][C]12.9473684210526[/C][C]-1.94736842105263[/C][/ROW]
[ROW][C]140[/C][C]16[/C][C]12.9473684210526[/C][C]3.05263157894737[/C][/ROW]
[ROW][C]141[/C][C]15[/C][C]12.9473684210526[/C][C]2.05263157894737[/C][/ROW]
[ROW][C]142[/C][C]17[/C][C]18.125[/C][C]-1.125[/C][/ROW]
[ROW][C]143[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]144[/C][C]10[/C][C]12.9473684210526[/C][C]-2.94736842105263[/C][/ROW]
[ROW][C]145[/C][C]18[/C][C]16.25[/C][C]1.75[/C][/ROW]
[ROW][C]146[/C][C]13[/C][C]13.8928571428571[/C][C]-0.892857142857142[/C][/ROW]
[ROW][C]147[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]148[/C][C]13[/C][C]12.9473684210526[/C][C]0.0526315789473681[/C][/ROW]
[ROW][C]149[/C][C]10[/C][C]11.6818181818182[/C][C]-1.68181818181818[/C][/ROW]
[ROW][C]150[/C][C]15[/C][C]16.25[/C][C]-1.25[/C][/ROW]
[ROW][C]151[/C][C]16[/C][C]12.9473684210526[/C][C]3.05263157894737[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]11.6818181818182[/C][C]4.31818181818182[/C][/ROW]
[ROW][C]153[/C][C]14[/C][C]12.9473684210526[/C][C]1.05263157894737[/C][/ROW]
[ROW][C]154[/C][C]10[/C][C]12.9473684210526[/C][C]-2.94736842105263[/C][/ROW]
[ROW][C]155[/C][C]13[/C][C]11.6818181818182[/C][C]1.31818181818182[/C][/ROW]
[ROW][C]156[/C][C]15[/C][C]12.9473684210526[/C][C]2.05263157894737[/C][/ROW]
[ROW][C]157[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]158[/C][C]12[/C][C]12.9473684210526[/C][C]-0.947368421052632[/C][/ROW]
[ROW][C]159[/C][C]13[/C][C]12.6363636363636[/C][C]0.363636363636363[/C][/ROW]
[ROW][C]160[/C][C]12[/C][C]12.9473684210526[/C][C]-0.947368421052632[/C][/ROW]
[ROW][C]161[/C][C]17[/C][C]16.25[/C][C]0.75[/C][/ROW]
[ROW][C]162[/C][C]15[/C][C]13.8928571428571[/C][C]1.10714285714286[/C][/ROW]
[ROW][C]163[/C][C]10[/C][C]12.9473684210526[/C][C]-2.94736842105263[/C][/ROW]
[ROW][C]164[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]165[/C][C]11[/C][C]12.6363636363636[/C][C]-1.63636363636364[/C][/ROW]
[ROW][C]166[/C][C]13[/C][C]13.8928571428571[/C][C]-0.892857142857142[/C][/ROW]
[ROW][C]167[/C][C]16[/C][C]12.6363636363636[/C][C]3.36363636363636[/C][/ROW]
[ROW][C]168[/C][C]12[/C][C]11.6818181818182[/C][C]0.318181818181818[/C][/ROW]
[ROW][C]169[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]170[/C][C]12[/C][C]13.8928571428571[/C][C]-1.89285714285714[/C][/ROW]
[ROW][C]171[/C][C]9[/C][C]8.41666666666667[/C][C]0.583333333333334[/C][/ROW]
[ROW][C]172[/C][C]12[/C][C]15.0737704918033[/C][C]-3.07377049180328[/C][/ROW]
[ROW][C]173[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]174[/C][C]12[/C][C]12.9473684210526[/C][C]-0.947368421052632[/C][/ROW]
[ROW][C]175[/C][C]12[/C][C]12.9473684210526[/C][C]-0.947368421052632[/C][/ROW]
[ROW][C]176[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]177[/C][C]12[/C][C]12.9473684210526[/C][C]-0.947368421052632[/C][/ROW]
[ROW][C]178[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]179[/C][C]11[/C][C]8.41666666666667[/C][C]2.58333333333333[/C][/ROW]
[ROW][C]180[/C][C]19[/C][C]18.125[/C][C]0.875[/C][/ROW]
[ROW][C]181[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]182[/C][C]8[/C][C]12.6363636363636[/C][C]-4.63636363636364[/C][/ROW]
[ROW][C]183[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]184[/C][C]17[/C][C]15.0737704918033[/C][C]1.92622950819672[/C][/ROW]
[ROW][C]185[/C][C]12[/C][C]11.6818181818182[/C][C]0.318181818181818[/C][/ROW]
[ROW][C]186[/C][C]11[/C][C]8.41666666666667[/C][C]2.58333333333333[/C][/ROW]
[ROW][C]187[/C][C]11[/C][C]11.6818181818182[/C][C]-0.681818181818182[/C][/ROW]
[ROW][C]188[/C][C]14[/C][C]13.8928571428571[/C][C]0.107142857142858[/C][/ROW]
[ROW][C]189[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]190[/C][C]12[/C][C]11.6818181818182[/C][C]0.318181818181818[/C][/ROW]
[ROW][C]191[/C][C]16[/C][C]13.8928571428571[/C][C]2.10714285714286[/C][/ROW]
[ROW][C]192[/C][C]13[/C][C]15.0737704918033[/C][C]-2.07377049180328[/C][/ROW]
[ROW][C]193[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]194[/C][C]16[/C][C]12.9473684210526[/C][C]3.05263157894737[/C][/ROW]
[ROW][C]195[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]196[/C][C]14[/C][C]12.9473684210526[/C][C]1.05263157894737[/C][/ROW]
[ROW][C]197[/C][C]16[/C][C]13.8928571428571[/C][C]2.10714285714286[/C][/ROW]
[ROW][C]198[/C][C]14[/C][C]12.6363636363636[/C][C]1.36363636363636[/C][/ROW]
[ROW][C]199[/C][C]11[/C][C]12.9473684210526[/C][C]-1.94736842105263[/C][/ROW]
[ROW][C]200[/C][C]12[/C][C]15.0737704918033[/C][C]-3.07377049180328[/C][/ROW]
[ROW][C]201[/C][C]15[/C][C]12.9473684210526[/C][C]2.05263157894737[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]203[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]204[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]205[/C][C]11[/C][C]15.0737704918033[/C][C]-4.07377049180328[/C][/ROW]
[ROW][C]206[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]207[/C][C]12[/C][C]13.8928571428571[/C][C]-1.89285714285714[/C][/ROW]
[ROW][C]208[/C][C]12[/C][C]15.0737704918033[/C][C]-3.07377049180328[/C][/ROW]
[ROW][C]209[/C][C]15[/C][C]13.8928571428571[/C][C]1.10714285714286[/C][/ROW]
[ROW][C]210[/C][C]15[/C][C]12.9473684210526[/C][C]2.05263157894737[/C][/ROW]
[ROW][C]211[/C][C]16[/C][C]13.8928571428571[/C][C]2.10714285714286[/C][/ROW]
[ROW][C]212[/C][C]14[/C][C]12.6363636363636[/C][C]1.36363636363636[/C][/ROW]
[ROW][C]213[/C][C]17[/C][C]15.0737704918033[/C][C]1.92622950819672[/C][/ROW]
[ROW][C]214[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]215[/C][C]13[/C][C]12.9473684210526[/C][C]0.0526315789473681[/C][/ROW]
[ROW][C]216[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]217[/C][C]13[/C][C]13.8928571428571[/C][C]-0.892857142857142[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]219[/C][C]15[/C][C]13.8928571428571[/C][C]1.10714285714286[/C][/ROW]
[ROW][C]220[/C][C]12[/C][C]12.9473684210526[/C][C]-0.947368421052632[/C][/ROW]
[ROW][C]221[/C][C]8[/C][C]11.6818181818182[/C][C]-3.68181818181818[/C][/ROW]
[ROW][C]222[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]223[/C][C]14[/C][C]12.9473684210526[/C][C]1.05263157894737[/C][/ROW]
[ROW][C]224[/C][C]11[/C][C]12.9473684210526[/C][C]-1.94736842105263[/C][/ROW]
[ROW][C]225[/C][C]12[/C][C]12.9473684210526[/C][C]-0.947368421052632[/C][/ROW]
[ROW][C]226[/C][C]13[/C][C]8.41666666666667[/C][C]4.58333333333333[/C][/ROW]
[ROW][C]227[/C][C]10[/C][C]13.8928571428571[/C][C]-3.89285714285714[/C][/ROW]
[ROW][C]228[/C][C]16[/C][C]11.6818181818182[/C][C]4.31818181818182[/C][/ROW]
[ROW][C]229[/C][C]18[/C][C]16.25[/C][C]1.75[/C][/ROW]
[ROW][C]230[/C][C]13[/C][C]15.0737704918033[/C][C]-2.07377049180328[/C][/ROW]
[ROW][C]231[/C][C]11[/C][C]13.8928571428571[/C][C]-2.89285714285714[/C][/ROW]
[ROW][C]232[/C][C]4[/C][C]8.41666666666667[/C][C]-4.41666666666667[/C][/ROW]
[ROW][C]233[/C][C]13[/C][C]15.0737704918033[/C][C]-2.07377049180328[/C][/ROW]
[ROW][C]234[/C][C]16[/C][C]13.8928571428571[/C][C]2.10714285714286[/C][/ROW]
[ROW][C]235[/C][C]10[/C][C]8.41666666666667[/C][C]1.58333333333333[/C][/ROW]
[ROW][C]236[/C][C]12[/C][C]12.9473684210526[/C][C]-0.947368421052632[/C][/ROW]
[ROW][C]237[/C][C]12[/C][C]13.8928571428571[/C][C]-1.89285714285714[/C][/ROW]
[ROW][C]238[/C][C]10[/C][C]8.41666666666667[/C][C]1.58333333333333[/C][/ROW]
[ROW][C]239[/C][C]13[/C][C]11.6818181818182[/C][C]1.31818181818182[/C][/ROW]
[ROW][C]240[/C][C]12[/C][C]12.9473684210526[/C][C]-0.947368421052632[/C][/ROW]
[ROW][C]241[/C][C]14[/C][C]12.9473684210526[/C][C]1.05263157894737[/C][/ROW]
[ROW][C]242[/C][C]10[/C][C]12.9473684210526[/C][C]-2.94736842105263[/C][/ROW]
[ROW][C]243[/C][C]12[/C][C]12.9473684210526[/C][C]-0.947368421052632[/C][/ROW]
[ROW][C]244[/C][C]12[/C][C]12.9473684210526[/C][C]-0.947368421052632[/C][/ROW]
[ROW][C]245[/C][C]11[/C][C]11.6818181818182[/C][C]-0.681818181818182[/C][/ROW]
[ROW][C]246[/C][C]10[/C][C]11.6818181818182[/C][C]-1.68181818181818[/C][/ROW]
[ROW][C]247[/C][C]12[/C][C]11.6818181818182[/C][C]0.318181818181818[/C][/ROW]
[ROW][C]248[/C][C]16[/C][C]12.9473684210526[/C][C]3.05263157894737[/C][/ROW]
[ROW][C]249[/C][C]12[/C][C]15.0737704918033[/C][C]-3.07377049180328[/C][/ROW]
[ROW][C]250[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]251[/C][C]16[/C][C]13.8928571428571[/C][C]2.10714285714286[/C][/ROW]
[ROW][C]252[/C][C]14[/C][C]12.9473684210526[/C][C]1.05263157894737[/C][/ROW]
[ROW][C]253[/C][C]13[/C][C]15.0737704918033[/C][C]-2.07377049180328[/C][/ROW]
[ROW][C]254[/C][C]4[/C][C]8.41666666666667[/C][C]-4.41666666666667[/C][/ROW]
[ROW][C]255[/C][C]15[/C][C]12.6363636363636[/C][C]2.36363636363636[/C][/ROW]
[ROW][C]256[/C][C]11[/C][C]15.0737704918033[/C][C]-4.07377049180328[/C][/ROW]
[ROW][C]257[/C][C]11[/C][C]11.6818181818182[/C][C]-0.681818181818182[/C][/ROW]
[ROW][C]258[/C][C]14[/C][C]12.9473684210526[/C][C]1.05263157894737[/C][/ROW]
[ROW][C]259[/C][C]15[/C][C]13.8928571428571[/C][C]1.10714285714286[/C][/ROW]
[ROW][C]260[/C][C]14[/C][C]12.9473684210526[/C][C]1.05263157894737[/C][/ROW]
[ROW][C]261[/C][C]13[/C][C]12.6363636363636[/C][C]0.363636363636363[/C][/ROW]
[ROW][C]262[/C][C]11[/C][C]12.9473684210526[/C][C]-1.94736842105263[/C][/ROW]
[ROW][C]263[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]264[/C][C]11[/C][C]12.9473684210526[/C][C]-1.94736842105263[/C][/ROW]
[ROW][C]265[/C][C]13[/C][C]11.6818181818182[/C][C]1.31818181818182[/C][/ROW]
[ROW][C]266[/C][C]13[/C][C]12.9473684210526[/C][C]0.0526315789473681[/C][/ROW]
[ROW][C]267[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]268[/C][C]13[/C][C]12.9473684210526[/C][C]0.0526315789473681[/C][/ROW]
[ROW][C]269[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]270[/C][C]16[/C][C]16.25[/C][C]-0.25[/C][/ROW]
[ROW][C]271[/C][C]12[/C][C]11.6818181818182[/C][C]0.318181818181818[/C][/ROW]
[ROW][C]272[/C][C]7[/C][C]8.41666666666667[/C][C]-1.41666666666667[/C][/ROW]
[ROW][C]273[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]274[/C][C]5[/C][C]11.6818181818182[/C][C]-6.68181818181818[/C][/ROW]
[ROW][C]275[/C][C]16[/C][C]12.9473684210526[/C][C]3.05263157894737[/C][/ROW]
[ROW][C]276[/C][C]4[/C][C]8.41666666666667[/C][C]-4.41666666666667[/C][/ROW]
[ROW][C]277[/C][C]12[/C][C]12.9473684210526[/C][C]-0.947368421052632[/C][/ROW]
[ROW][C]278[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]279[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[ROW][C]280[/C][C]11[/C][C]12.9473684210526[/C][C]-1.94736842105263[/C][/ROW]
[ROW][C]281[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]282[/C][C]15[/C][C]15.0737704918033[/C][C]-0.0737704918032787[/C][/ROW]
[ROW][C]283[/C][C]12[/C][C]12.9473684210526[/C][C]-0.947368421052632[/C][/ROW]
[ROW][C]284[/C][C]6[/C][C]8.41666666666667[/C][C]-2.41666666666667[/C][/ROW]
[ROW][C]285[/C][C]16[/C][C]15.0737704918033[/C][C]0.926229508196721[/C][/ROW]
[ROW][C]286[/C][C]10[/C][C]12.9473684210526[/C][C]-2.94736842105263[/C][/ROW]
[ROW][C]287[/C][C]15[/C][C]16.25[/C][C]-1.25[/C][/ROW]
[ROW][C]288[/C][C]14[/C][C]15.0737704918033[/C][C]-1.07377049180328[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154264&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154264&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	13	15.0737704918033	-2.07377049180328
2	16	15.0737704918033	0.926229508196721
3	19	18.125	0.875
4	15	11.6818181818182	3.31818181818182
5	14	16.25	-2.25
6	13	15.0737704918033	-2.07377049180328
7	19	15.0737704918033	3.92622950819672
8	15	16.25	-1.25
9	14	15.0737704918033	-1.07377049180328
10	15	12.9473684210526	2.05263157894737
11	16	15.0737704918033	0.926229508196721
12	16	15.0737704918033	0.926229508196721
13	16	13.8928571428571	2.10714285714286
14	16	15.0737704918033	0.926229508196721
15	17	18.125	-1.125
16	15	15.0737704918033	-0.0737704918032787
17	15	15.0737704918033	-0.0737704918032787
18	20	15.0737704918033	4.92622950819672
19	18	15.0737704918033	2.92622950819672
20	16	15.0737704918033	0.926229508196721
21	16	15.0737704918033	0.926229508196721
22	16	13.8928571428571	2.10714285714286
23	19	16.25	2.75
24	16	15.0737704918033	0.926229508196721
25	17	15.0737704918033	1.92622950819672
26	17	16.25	0.75
27	16	15.0737704918033	0.926229508196721
28	15	16.25	-1.25
29	16	15.0737704918033	0.926229508196721
30	14	13.8928571428571	0.107142857142858
31	15	15.0737704918033	-0.0737704918032787
32	12	12.9473684210526	-0.947368421052632
33	14	15.0737704918033	-1.07377049180328
34	16	15.0737704918033	0.926229508196721
35	14	15.0737704918033	-1.07377049180328
36	10	11.6818181818182	-1.68181818181818
37	10	12.9473684210526	-2.94736842105263
38	14	15.0737704918033	-1.07377049180328
39	16	15.0737704918033	0.926229508196721
40	16	15.0737704918033	0.926229508196721
41	16	15.0737704918033	0.926229508196721
42	14	15.0737704918033	-1.07377049180328
43	20	18.125	1.875
44	14	15.0737704918033	-1.07377049180328
45	14	15.0737704918033	-1.07377049180328
46	11	13.8928571428571	-2.89285714285714
47	14	16.25	-2.25
48	15	15.0737704918033	-0.0737704918032787
49	16	15.0737704918033	0.926229508196721
50	14	15.0737704918033	-1.07377049180328
51	16	16.25	-0.25
52	14	15.0737704918033	-1.07377049180328
53	12	13.8928571428571	-1.89285714285714
54	16	16.25	-0.25
55	9	11.6818181818182	-2.68181818181818
56	14	11.6818181818182	2.31818181818182
57	16	15.0737704918033	0.926229508196721
58	16	15.0737704918033	0.926229508196721
59	15	15.0737704918033	-0.0737704918032787
60	16	15.0737704918033	0.926229508196721
61	12	8.41666666666667	3.58333333333333
62	16	15.0737704918033	0.926229508196721
63	16	16.25	-0.25
64	14	15.0737704918033	-1.07377049180328
65	16	15.0737704918033	0.926229508196721
66	17	16.25	0.75
67	18	16.25	1.75
68	18	15.0737704918033	2.92622950819672
69	12	15.0737704918033	-3.07377049180328
70	16	15.0737704918033	0.926229508196721
71	10	12.9473684210526	-2.94736842105263
72	14	15.0737704918033	-1.07377049180328
73	18	16.25	1.75
74	18	16.25	1.75
75	16	15.0737704918033	0.926229508196721
76	17	12.9473684210526	4.05263157894737
77	16	16.25	-0.25
78	16	15.0737704918033	0.926229508196721
79	13	12.6363636363636	0.363636363636363
80	16	15.0737704918033	0.926229508196721
81	16	15.0737704918033	0.926229508196721
82	16	15.0737704918033	0.926229508196721
83	15	15.0737704918033	-0.0737704918032787
84	15	15.0737704918033	-0.0737704918032787
85	16	15.0737704918033	0.926229508196721
86	14	12.9473684210526	1.05263157894737
87	16	15.0737704918033	0.926229508196721
88	16	15.0737704918033	0.926229508196721
89	15	13.8928571428571	1.10714285714286
90	12	12.9473684210526	-0.947368421052632
91	17	18.125	-1.125
92	16	15.0737704918033	0.926229508196721
93	15	15.0737704918033	-0.0737704918032787
94	13	15.0737704918033	-2.07377049180328
95	16	15.0737704918033	0.926229508196721
96	16	16.25	-0.25
97	16	12.9473684210526	3.05263157894737
98	16	15.0737704918033	0.926229508196721
99	14	15.0737704918033	-1.07377049180328
100	16	16.25	-0.25
101	16	15.0737704918033	0.926229508196721
102	20	18.125	1.875
103	15	13.8928571428571	1.10714285714286
104	16	15.0737704918033	0.926229508196721
105	13	13.8928571428571	-0.892857142857142
106	17	15.0737704918033	1.92622950819672
107	16	15.0737704918033	0.926229508196721
108	16	13.8928571428571	2.10714285714286
109	12	11.6818181818182	0.318181818181818
110	16	15.0737704918033	0.926229508196721
111	16	16.25	-0.25
112	17	15.0737704918033	1.92622950819672
113	12	15.0737704918033	-3.07377049180328
114	18	16.25	1.75
115	14	16.25	-2.25
116	14	12.9473684210526	1.05263157894737
117	13	15.0737704918033	-2.07377049180328
118	16	15.0737704918033	0.926229508196721
119	13	15.0737704918033	-2.07377049180328
120	16	16.25	-0.25
121	13	15.0737704918033	-2.07377049180328
122	16	16.25	-0.25
123	15	16.25	-1.25
124	16	18.125	-2.125
125	15	15.0737704918033	-0.0737704918032787
126	17	15.0737704918033	1.92622950819672
127	15	12.9473684210526	2.05263157894737
128	12	15.0737704918033	-3.07377049180328
129	16	15.0737704918033	0.926229508196721
130	10	12.6363636363636	-2.63636363636364
131	16	12.9473684210526	3.05263157894737
132	12	12.6363636363636	-0.636363636363637
133	14	15.0737704918033	-1.07377049180328
134	15	15.0737704918033	-0.0737704918032787
135	13	12.9473684210526	0.0526315789473681
136	15	15.0737704918033	-0.0737704918032787
137	11	13.8928571428571	-2.89285714285714
138	12	12.9473684210526	-0.947368421052632
139	11	12.9473684210526	-1.94736842105263
140	16	12.9473684210526	3.05263157894737
141	15	12.9473684210526	2.05263157894737
142	17	18.125	-1.125
143	16	15.0737704918033	0.926229508196721
144	10	12.9473684210526	-2.94736842105263
145	18	16.25	1.75
146	13	13.8928571428571	-0.892857142857142
147	16	15.0737704918033	0.926229508196721
148	13	12.9473684210526	0.0526315789473681
149	10	11.6818181818182	-1.68181818181818
150	15	16.25	-1.25
151	16	12.9473684210526	3.05263157894737
152	16	11.6818181818182	4.31818181818182
153	14	12.9473684210526	1.05263157894737
154	10	12.9473684210526	-2.94736842105263
155	13	11.6818181818182	1.31818181818182
156	15	12.9473684210526	2.05263157894737
157	16	15.0737704918033	0.926229508196721
158	12	12.9473684210526	-0.947368421052632
159	13	12.6363636363636	0.363636363636363
160	12	12.9473684210526	-0.947368421052632
161	17	16.25	0.75
162	15	13.8928571428571	1.10714285714286
163	10	12.9473684210526	-2.94736842105263
164	14	15.0737704918033	-1.07377049180328
165	11	12.6363636363636	-1.63636363636364
166	13	13.8928571428571	-0.892857142857142
167	16	12.6363636363636	3.36363636363636
168	12	11.6818181818182	0.318181818181818
169	16	15.0737704918033	0.926229508196721
170	12	13.8928571428571	-1.89285714285714
171	9	8.41666666666667	0.583333333333334
172	12	15.0737704918033	-3.07377049180328
173	15	15.0737704918033	-0.0737704918032787
174	12	12.9473684210526	-0.947368421052632
175	12	12.9473684210526	-0.947368421052632
176	14	15.0737704918033	-1.07377049180328
177	12	12.9473684210526	-0.947368421052632
178	16	15.0737704918033	0.926229508196721
179	11	8.41666666666667	2.58333333333333
180	19	18.125	0.875
181	15	15.0737704918033	-0.0737704918032787
182	8	12.6363636363636	-4.63636363636364
183	16	15.0737704918033	0.926229508196721
184	17	15.0737704918033	1.92622950819672
185	12	11.6818181818182	0.318181818181818
186	11	8.41666666666667	2.58333333333333
187	11	11.6818181818182	-0.681818181818182
188	14	13.8928571428571	0.107142857142858
189	16	15.0737704918033	0.926229508196721
190	12	11.6818181818182	0.318181818181818
191	16	13.8928571428571	2.10714285714286
192	13	15.0737704918033	-2.07377049180328
193	15	15.0737704918033	-0.0737704918032787
194	16	12.9473684210526	3.05263157894737
195	16	15.0737704918033	0.926229508196721
196	14	12.9473684210526	1.05263157894737
197	16	13.8928571428571	2.10714285714286
198	14	12.6363636363636	1.36363636363636
199	11	12.9473684210526	-1.94736842105263
200	12	15.0737704918033	-3.07377049180328
201	15	12.9473684210526	2.05263157894737
202	15	15.0737704918033	-0.0737704918032787
203	16	15.0737704918033	0.926229508196721
204	16	15.0737704918033	0.926229508196721
205	11	15.0737704918033	-4.07377049180328
206	15	15.0737704918033	-0.0737704918032787
207	12	13.8928571428571	-1.89285714285714
208	12	15.0737704918033	-3.07377049180328
209	15	13.8928571428571	1.10714285714286
210	15	12.9473684210526	2.05263157894737
211	16	13.8928571428571	2.10714285714286
212	14	12.6363636363636	1.36363636363636
213	17	15.0737704918033	1.92622950819672
214	14	15.0737704918033	-1.07377049180328
215	13	12.9473684210526	0.0526315789473681
216	15	15.0737704918033	-0.0737704918032787
217	13	13.8928571428571	-0.892857142857142
218	14	15.0737704918033	-1.07377049180328
219	15	13.8928571428571	1.10714285714286
220	12	12.9473684210526	-0.947368421052632
221	8	11.6818181818182	-3.68181818181818
222	14	15.0737704918033	-1.07377049180328
223	14	12.9473684210526	1.05263157894737
224	11	12.9473684210526	-1.94736842105263
225	12	12.9473684210526	-0.947368421052632
226	13	8.41666666666667	4.58333333333333
227	10	13.8928571428571	-3.89285714285714
228	16	11.6818181818182	4.31818181818182
229	18	16.25	1.75
230	13	15.0737704918033	-2.07377049180328
231	11	13.8928571428571	-2.89285714285714
232	4	8.41666666666667	-4.41666666666667
233	13	15.0737704918033	-2.07377049180328
234	16	13.8928571428571	2.10714285714286
235	10	8.41666666666667	1.58333333333333
236	12	12.9473684210526	-0.947368421052632
237	12	13.8928571428571	-1.89285714285714
238	10	8.41666666666667	1.58333333333333
239	13	11.6818181818182	1.31818181818182
240	12	12.9473684210526	-0.947368421052632
241	14	12.9473684210526	1.05263157894737
242	10	12.9473684210526	-2.94736842105263
243	12	12.9473684210526	-0.947368421052632
244	12	12.9473684210526	-0.947368421052632
245	11	11.6818181818182	-0.681818181818182
246	10	11.6818181818182	-1.68181818181818
247	12	11.6818181818182	0.318181818181818
248	16	12.9473684210526	3.05263157894737
249	12	15.0737704918033	-3.07377049180328
250	14	15.0737704918033	-1.07377049180328
251	16	13.8928571428571	2.10714285714286
252	14	12.9473684210526	1.05263157894737
253	13	15.0737704918033	-2.07377049180328
254	4	8.41666666666667	-4.41666666666667
255	15	12.6363636363636	2.36363636363636
256	11	15.0737704918033	-4.07377049180328
257	11	11.6818181818182	-0.681818181818182
258	14	12.9473684210526	1.05263157894737
259	15	13.8928571428571	1.10714285714286
260	14	12.9473684210526	1.05263157894737
261	13	12.6363636363636	0.363636363636363
262	11	12.9473684210526	-1.94736842105263
263	15	15.0737704918033	-0.0737704918032787
264	11	12.9473684210526	-1.94736842105263
265	13	11.6818181818182	1.31818181818182
266	13	12.9473684210526	0.0526315789473681
267	16	15.0737704918033	0.926229508196721
268	13	12.9473684210526	0.0526315789473681
269	16	15.0737704918033	0.926229508196721
270	16	16.25	-0.25
271	12	11.6818181818182	0.318181818181818
272	7	8.41666666666667	-1.41666666666667
273	16	15.0737704918033	0.926229508196721
274	5	11.6818181818182	-6.68181818181818
275	16	12.9473684210526	3.05263157894737
276	4	8.41666666666667	-4.41666666666667
277	12	12.9473684210526	-0.947368421052632
278	15	15.0737704918033	-0.0737704918032787
279	14	15.0737704918033	-1.07377049180328
280	11	12.9473684210526	-1.94736842105263
281	16	15.0737704918033	0.926229508196721
282	15	15.0737704918033	-0.0737704918032787
283	12	12.9473684210526	-0.947368421052632
284	6	8.41666666666667	-2.41666666666667
285	16	15.0737704918033	0.926229508196721
286	10	12.9473684210526	-2.94736842105263
287	15	16.25	-1.25
288	14	15.0737704918033	-1.07377049180328

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 = 4 ; par2 = none ; par3 = 2 ; par4 = no ;

Parameters (R input):

par1 = 4 ; par2 = none ; par3 = 3 ; par4 = no ;

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