Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_regression_trees1.wasp
Title produced by softwareRecursive Partitioning (Regression Trees)
Date of computationWed, 21 Dec 2011 05:12:51 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/21/t1324462395o3yicd6g78wjins.htm/, Retrieved Tue, 07 May 2024 20:08:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158426, Retrieved Tue, 07 May 2024 20:08:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110
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]
- RMP   [Kendall tau Correlation Matrix] [ws10.1] [2011-12-14 12:44:38] [8ae0a4da1b3ee81f40dbba5e42914d07]
-    D    [Kendall tau Correlation Matrix] [ws10.3] [2011-12-14 14:10:41] [8ae0a4da1b3ee81f40dbba5e42914d07]
- RMP       [Recursive Partitioning (Regression Trees)] [ws10.6] [2011-12-14 15:11:12] [8ae0a4da1b3ee81f40dbba5e42914d07]
-   PD          [Recursive Partitioning (Regression Trees)] [ws10.9] [2011-12-21 10:12:51] [d6b8e0ceefc1e2de0b53f6dffb5d636c] [Current]
-    D            [Recursive Partitioning (Regression Trees)] [ws10.11] [2011-12-21 10:30:44] [8ae0a4da1b3ee81f40dbba5e42914d07]
-    D            [Recursive Partitioning (Regression Trees)] [ws10.12] [2011-12-21 10:34:17] [8ae0a4da1b3ee81f40dbba5e42914d07]
-   P               [Recursive Partitioning (Regression Trees)] [ws10.16] [2011-12-21 12:49:59] [8ae0a4da1b3ee81f40dbba5e42914d07]
- R P                 [Recursive Partitioning (Regression Trees)] [ws10.17] [2011-12-21 12:50:57] [8ae0a4da1b3ee81f40dbba5e42914d07]
-   P                   [Recursive Partitioning (Regression Trees)] [ws10.18] [2011-12-21 12:51:53] [8ae0a4da1b3ee81f40dbba5e42914d07]
- RMPD            [Multiple Regression] [ws10.13] [2011-12-21 11:21:32] [8ae0a4da1b3ee81f40dbba5e42914d07]
- RMPD            [Kendall tau Correlation Matrix] [ws10.14] [2011-12-21 11:27:12] [8ae0a4da1b3ee81f40dbba5e42914d07]
- RMPD            [Kendall tau Correlation Matrix] [ws10.15] [2011-12-21 11:30:26] [8ae0a4da1b3ee81f40dbba5e42914d07]
- RMPD            [Skewness and Kurtosis Test] [Paper, Decomposit...] [2011-12-21 11:46:07] [75512e061a94450f738c2449abbaac12]
- RMPD            [Mean versus Median] [Paper, DSTSM mean...] [2011-12-21 12:15:11] [75512e061a94450f738c2449abbaac12]
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Dataseries X:
210907	79	81	94	56	3
120982	58	55	103	56	4
176508	60	50	93	54	12
179321	108	125	103	89	2
123185	49	40	51	40	1
52746	0	37	70	25	3
385534	121	63	91	92	0
33170	1	44	22	18	0
101645	20	88	38	63	0
149061	43	66	93	44	5
165446	69	57	60	33	0
237213	78	74	123	84	0
173326	86	49	148	88	7
133131	44	52	90	55	7
258873	104	88	124	60	3
180083	63	36	70	66	9
324799	158	108	168	154	0
230964	102	43	115	53	4
236785	77	75	71	119	3
135473	82	32	66	41	0
202925	115	44	134	61	7
215147	101	85	117	58	0
344297	80	86	108	75	1
153935	50	56	84	33	5
132943	83	50	156	40	7
174724	123	135	120	92	0
174415	73	63	114	100	0
225548	81	81	94	112	5
223632	105	52	120	73	0
124817	47	44	81	40	0
221698	105	113	110	45	0
210767	94	39	133	60	3
170266	44	73	122	62	4
260561	114	48	158	75	1
84853	38	33	109	31	4
294424	107	59	124	77	2
101011	30	41	39	34	0
215641	71	69	92	46	0
325107	84	64	126	99	0
7176	0	1	0	17	0
167542	59	59	70	66	2
106408	33	32	37	30	1
96560	42	129	38	76	0
265769	96	37	120	146	2
269651	106	31	93	67	10
149112	56	65	95	56	6
175824	57	107	77	107	0
152871	59	74	90	58	5
111665	39	54	80	34	4
116408	34	76	31	61	1
362301	76	715	110	119	2
78800	20	57	66	42	2
183167	91	66	138	66	0
277965	115	106	133	89	8
150629	85	54	113	44	3
168809	76	32	100	66	0
24188	8	20	7	24	0
329267	79	71	140	259	8
65029	21	21	61	17	5
101097	30	70	41	64	3
218946	76	112	96	41	1
244052	101	66	164	68	5
341570	94	190	78	168	1
103597	27	66	49	43	1
233328	92	165	102	132	5
256462	123	56	124	105	0
206161	75	61	99	71	12
311473	128	53	129	112	8
235800	105	127	62	94	8
177939	55	63	73	82	8
207176	56	38	114	70	8
196553	41	50	99	57	2
174184	72	52	70	53	0
143246	67	42	104	103	5
187559	75	76	116	121	8
187681	114	67	91	62	2
119016	118	50	74	52	5
182192	77	53	138	52	12
73566	22	39	67	32	6
194979	66	50	151	62	7
167488	69	77	72	45	2
143756	105	57	120	46	0
275541	116	73	115	63	4
243199	88	34	105	75	3
182999	73	39	104	88	6
135649	99	46	108	46	2
152299	62	63	98	53	0
120221	53	35	69	37	1
346485	118	106	111	90	0
145790	30	43	99	63	5
193339	100	47	71	78	2
80953	49	31	27	25	0
122774	24	162	69	45	0
130585	67	57	107	46	5
112611	46	36	73	41	0
286468	57	263	107	144	1
241066	75	78	93	82	0
148446	135	63	129	91	1
204713	68	54	69	71	1
182079	124	63	118	63	2
140344	33	77	73	53	6
220516	98	79	119	62	1
243060	58	110	104	63	4
162765	68	56	107	32	2
182613	81	56	99	39	3
232138	131	43	90	62	0
265318	110	111	197	117	10
85574	37	71	36	34	0
310839	130	62	85	92	9
225060	93	56	139	93	7
232317	118	74	106	54	0
144966	39	60	50	144	0
43287	13	43	64	14	4
155754	74	68	31	61	4
164709	81	53	63	109	0
201940	109	87	92	38	0
235454	151	46	106	73	0
220801	51	105	63	75	1
99466	28	32	69	50	0
92661	40	133	41	61	1
133328	56	79	56	55	0
61361	27	51	25	77	0
125930	37	207	65	75	4
100750	83	67	93	72	0
224549	54	47	114	50	4
82316	27	34	38	32	4
102010	28	66	44	53	3
101523	59	76	87	42	0
243511	133	65	110	71	0
22938	12	9	0	10	0
41566	0	42	27	35	5
152474	106	45	83	65	0
61857	23	25	30	25	4
99923	44	115	80	66	0
132487	71	97	98	41	0
317394	116	53	82	86	1
21054	4	2	0	16	0
209641	62	52	60	42	5
22648	12	44	28	19	0
31414	18	22	9	19	0
46698	14	35	33	45	0
131698	60	74	59	65	0
91735	7	103	49	35	0
244749	98	144	115	95	2
184510	64	60	140	49	7
79863	29	134	49	37	1
128423	32	89	120	64	8
97839	25	42	66	38	2
38214	16	52	21	34	0
151101	48	98	124	32	2
272458	100	99	152	65	0
172494	46	52	139	52	0
108043	45	29	38	62	1
328107	129	125	144	65	3
250579	130	106	120	83	0
351067	136	95	160	95	3
158015	59	40	114	29	0
98866	25	140	39	18	0
85439	32	43	78	33	0
229242	63	128	119	247	4
351619	95	142	141	139	4
84207	14	73	101	29	11
120445	36	72	56	118	0
324598	113	128	133	110	0
131069	47	61	83	67	4
204271	92	73	116	42	0
165543	70	148	90	65	1
141722	19	64	36	94	0
116048	50	45	50	64	0
250047	41	58	61	81	0
299775	91	97	97	95	9
195838	111	50	98	67	1
173260	41	37	78	63	3
254488	120	50	117	83	10
104389	135	105	148	45	5
136084	27	69	41	30	0
199476	87	46	105	70	2
92499	25	57	55	32	0
224330	131	52	132	83	1
135781	45	98	44	31	2
74408	29	61	21	67	4
81240	58	89	50	66	0
14688	4	0	0	10	0
181633	47	48	73	70	2
271856	109	91	86	103	1
7199	7	0	0	5	0
46660	12	7	13	20	0
17547	0	3	4	5	0
133368	37	54	57	36	1
95227	37	70	48	34	0
152601	46	36	46	48	2
98146	15	37	48	40	0
79619	42	123	32	43	3
59194	7	247	68	31	6
139942	54	46	87	42	0
118612	54	72	43	46	2
72880	14	41	67	33	0
65475	16	24	46	18	2
99643	33	45	46	55	1
71965	32	33	56	35	1
77272	21	27	48	59	2
49289	15	36	44	19	1
135131	38	87	60	66	0
108446	22	90	65	60	1
89746	28	114	55	36	3
44296	10	31	38	25	0
77648	31	45	52	47	0
181528	32	69	60	54	0
134019	32	51	54	53	0
124064	43	34	86	40	1
92630	27	60	24	40	4
121848	37	45	52	39	0
52915	20	54	49	14	0
81872	32	25	61	45	0
58981	0	38	61	36	7
53515	5	52	81	28	2
60812	26	67	43	44	0
56375	10	74	40	30	7
65490	27	38	40	22	3
80949	11	30	56	17	0
76302	29	26	68	31	0
104011	25	67	79	55	6
98104	55	132	47	54	2
67989	23	42	57	21	0
30989	5	35	41	14	0
135458	43	118	29	81	3
73504	23	68	3	35	0
63123	34	43	60	43	1
61254	36	76	30	46	1
74914	35	64	79	30	0
31774	0	48	47	23	1
81437	37	64	40	38	0
87186	28	56	48	54	0
50090	16	71	36	20	0
65745	26	75	42	53	0
56653	38	39	49	45	0
158399	23	42	57	39	0
46455	22	39	12	20	0
73624	30	93	40	24	0
38395	16	38	43	31	0
91899	18	60	33	35	0
139526	28	71	77	151	0
52164	32	52	43	52	0
51567	21	27	45	30	2
70551	23	59	47	31	0
84856	29	40	43	29	1
102538	50	79	45	57	1
86678	12	44	50	40	0
85709	21	65	35	44	0
34662	18	10	7	25	0
150580	27	124	71	77	0
99611	41	81	67	35	0
19349	13	15	0	11	0
99373	12	92	62	63	1
86230	21	42	54	44	0
30837	8	10	4	19	0
31706	26	24	25	13	0
89806	27	64	40	42	0
62088	13	45	38	38	1
40151	16	22	19	29	0
27634	2	56	17	20	0
76990	42	94	67	27	0
37460	5	19	14	20	0
54157	37	35	30	19	0
49862	17	32	54	37	0
84337	38	35	35	26	0
64175	37	48	59	42	0
59382	29	49	24	49	0
119308	32	48	58	30	0
76702	35	62	42	49	0
103425	17	96	46	67	1
70344	20	45	61	28	0
43410	7	63	3	19	0
104838	46	71	52	49	1
62215	24	26	25	27	0
69304	40	48	40	30	6
53117	3	29	32	22	3
19764	10	19	4	12	1
86680	37	45	49	31	2
84105	17	45	63	20	0
77945	28	67	67	20	0
89113	19	30	32	39	0
91005	29	36	23	29	3
40248	8	34	7	16	1
64187	10	36	54	27	0
50857	15	34	37	21	0
56613	15	37	35	19	1
62792	28	46	51	35	0
72535	17	44	39	14	0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=158426&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=158426&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158426&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Goodness of Fit
Correlation0.881
R-squared0.7762
RMSE38886.2535

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.881 \tabularnewline
R-squared & 0.7762 \tabularnewline
RMSE & 38886.2535 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158426&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.881[/C][/ROW]
[ROW][C]R-squared[/C][C]0.7762[/C][/ROW]
[ROW][C]RMSE[/C][C]38886.2535[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158426&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158426&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
Correlation0.881
R-squared0.7762
RMSE38886.2535







Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
1210907162143.42857142948763.5714285714
2120982162143.428571429-41161.4285714286
3176508162143.42857142914364.5714285714
4179321255726.843137255-76405.8431372549
512318584499.044776119438685.9552238806
65274656099.75-3353.75
7385534255726.843137255129807.156862745
83317034770.3076923077-1600.3076923077
9101645115212.68-13567.68
10149061134977.62514083.375
11165446162143.4285714293302.57142857142
12237213255726.843137255-18513.8431372549
13173326255726.843137255-82400.8431372549
14133131134977.625-1846.625
15258873209940.77777777848932.2222222222
16180083162143.42857142917939.5714285714
17324799255726.84313725569072.1568627451
18230964209940.77777777821023.2222222222
19236785255726.843137255-18941.8431372549
20135473162143.428571429-26670.4285714286
21202925209940.777777778-7015.77777777778
22215147209940.7777777785206.22222222222
23344297255726.84313725588570.1568627451
24153935134977.62518957.375
25132943162143.428571429-29200.4285714286
26174724255726.843137255-81002.8431372549
27174415255726.843137255-81311.8431372549
28225548255726.843137255-30178.8431372549
29223632255726.843137255-32094.8431372549
30124817134977.625-10160.625
31221698209940.77777777811757.2222222222
32210767209940.777777778826.222222222219
33170266134977.62535288.375
34260561255726.8431372554834.15686274509
3584853134977.625-50124.625
36294424255726.84313725538697.1568627451
3710101184499.044776119416511.9552238806
38215641162143.42857142953497.5714285714
39325107255726.84313725569380.1568627451
40717618884.7777777778-11708.7777777778
41167542162143.4285714295398.57142857142
4210640884499.044776119421908.9552238806
4396560115212.68-18652.68
44265769255726.84313725510042.1568627451
45269651209940.77777777859710.2222222222
46149112162143.428571429-13031.4285714286
47175824255726.843137255-79902.8431372549
48152871162143.428571429-9272.42857142858
49111665134977.625-23312.625
50116408115212.681195.32000000001
51362301255726.843137255106574.156862745
527880084499.0447761194-5699.04477611941
53183167209940.777777778-26773.7777777778
54277965255726.84313725522238.1568627451
55150629162143.428571429-11514.4285714286
56168809162143.4285714296665.57142857142
572418834770.3076923077-10582.3076923077
58329267255726.84313725573540.1568627451
596502984499.0447761194-19470.0447761194
60101097115212.68-14115.68
61218946162143.42857142956802.5714285714
62244052209940.77777777834111.2222222222
63341570255726.84313725585843.1568627451
6410359784499.044776119419097.9552238806
65233328255726.843137255-22398.8431372549
66256462255726.843137255735.156862745091
67206161162143.42857142944017.5714285714
68311473255726.84313725555746.1568627451
69235800255726.843137255-19926.8431372549
70177939255726.843137255-77787.8431372549
71207176162143.42857142945032.5714285714
72196553134977.62561575.375
73174184162143.42857142912040.5714285714
74143246255726.843137255-112480.843137255
75187559255726.843137255-68167.8431372549
76187681209940.777777778-22259.7777777778
77119016209940.777777778-90924.7777777778
78182192162143.42857142920048.5714285714
797356684499.0447761194-10933.0447761194
80194979162143.42857142932835.5714285714
81167488162143.4285714295344.57142857142
82143756209940.777777778-66184.7777777778
83275541209940.77777777865600.2222222222
84243199255726.843137255-12527.8431372549
85182999255726.843137255-72727.8431372549
86135649209940.777777778-74291.7777777778
87152299162143.428571429-9844.42857142858
88120221162143.428571429-41922.4285714286
89346485255726.84313725590758.1568627451
90145790134977.62510812.375
91193339255726.843137255-62387.8431372549
928095384499.0447761194-3546.04477611941
9312277484499.044776119438274.9552238806
94130585162143.428571429-31558.4285714286
95112611134977.625-22366.625
96286468255726.84313725530741.1568627451
97241066255726.843137255-14660.8431372549
98148446255726.843137255-107280.843137255
99204713162143.42857142942569.5714285714
100182079209940.777777778-27861.7777777778
101140344134977.6255366.375
102220516209940.77777777810575.2222222222
103243060162143.42857142980916.5714285714
104162765162143.428571429621.57142857142
105182613162143.42857142920469.5714285714
106232138209940.77777777822197.2222222222
107265318255726.8431372559591.15686274509
1088557484499.04477611941074.95522388059
109310839255726.84313725555112.1568627451
110225060255726.843137255-30666.8431372549
111232317209940.77777777822376.2222222222
112144966115212.6829753.32
1134328756099.75-12812.75
114155754162143.428571429-6389.42857142858
115164709255726.843137255-91017.8431372549
116201940209940.777777778-8000.77777777778
117235454255726.843137255-20272.8431372549
118220801255726.843137255-34925.8431372549
1199946684499.044776119414966.9552238806
12092661115212.68-22551.68
121133328162143.428571429-28815.4285714286
12261361115212.68-53851.68
123125930115212.6810717.32
124100750162143.428571429-61393.4285714286
125224549162143.42857142962405.5714285714
1268231684499.0447761194-2183.04477611941
127102010115212.68-13202.68
128101523162143.428571429-60620.4285714286
129243511209940.77777777833570.2222222222
1302293818884.77777777784053.22222222222
1314156634770.30769230776795.6923076923
132152474209940.777777778-57466.7777777778
1336185784499.0447761194-22642.0447761194
13499923134977.625-35054.625
135132487162143.428571429-29656.4285714286
136317394255726.84313725561667.1568627451
1372105418884.77777777782169.22222222222
138209641162143.42857142947497.5714285714
1392264834770.3076923077-12122.3076923077
1403141434770.3076923077-3356.3076923077
1414669878342.2727272727-31644.2727272727
142131698162143.428571429-30445.4285714286
1439173578342.272727272713392.7272727273
144244749255726.843137255-10977.8431372549
145184510162143.42857142922366.5714285714
1467986384499.0447761194-4636.04477611941
147128423134977.625-6554.625
1489783984499.044776119413339.9552238806
1493821434770.30769230773443.6923076923
150151101134977.62516123.375
151272458209940.77777777862517.2222222222
152172494134977.62537516.375
153108043115212.68-7169.67999999999
154328107209940.777777778118166.222222222
155250579255726.843137255-5147.84313725491
156351067255726.84313725595340.1568627451
157158015162143.428571429-4128.42857142858
1589886684499.044776119414366.9552238806
15985439134977.625-49538.625
160229242255726.843137255-26484.8431372549
161351619255726.84313725595892.1568627451
1628420756099.7528107.25
163120445115212.685232.32000000001
164324598255726.84313725568871.1568627451
165131069134977.625-3908.625
166204271209940.777777778-5669.77777777778
167165543162143.4285714293399.57142857142
168141722115212.6826509.32
169116048115212.68835.320000000007
170250047115212.68134834.32
171299775255726.84313725544048.1568627451
172195838209940.777777778-14102.7777777778
173173260134977.62538282.375
174254488255726.843137255-1238.84313725491
175104389209940.777777778-105551.777777778
17613608484499.044776119451584.9552238806
177199476209940.777777778-10464.7777777778
1789249984499.04477611947999.95522388059
179224330255726.843137255-31396.8431372549
18013578184499.044776119451281.9552238806
18174408115212.68-40804.68
18281240162143.428571429-80903.4285714286
1831468818884.7777777778-4196.77777777778
184181633134977.62546655.375
185271856255726.84313725516129.1568627451
186719918884.7777777778-11685.7777777778
1874666034770.307692307711889.6923076923
1881754718884.7777777778-1337.77777777778
18913336884499.044776119448868.9552238806
1909522784499.044776119410727.9552238806
19115260184499.044776119468101.9552238806
1929814678342.272727272719803.7272727273
1937961984499.0447761194-4880.04477611941
1945919456099.753094.25
195139942162143.428571429-22201.4285714286
196118612162143.428571429-43531.4285714286
1977288078342.2727272727-5462.27272727272
1986547556099.759375.25
19999643115212.68-15569.68
2007196584499.0447761194-12534.0447761194
20177272115212.68-37940.68
2024928956099.75-6810.75
203135131115212.6819918.32
204108446115212.68-6766.67999999999
2058974684499.04477611945246.95522388059
2064429656099.75-11803.75
2077764884499.0447761194-6851.04477611941
208181528115212.6866315.32
209134019115212.6818806.32
210124064134977.625-10913.625
2119263084499.04477611948130.95522388059
21212184884499.044776119437348.9552238806
2135291584499.0447761194-31584.0447761194
2148187284499.0447761194-2627.04477611941
2155898178342.2727272727-19361.2727272727
2165351556099.75-2584.75
2176081284499.0447761194-23687.0447761194
2185637556099.75275.25
2196549084499.0447761194-19009.0447761194
2208094956099.7524849.25
2217630284499.0447761194-8197.04477611941
222104011134977.625-30966.625
22398104162143.428571429-64039.4285714286
2246798984499.0447761194-16510.0447761194
2253098956099.75-25110.75
226135458115212.6820245.32
2277350484499.0447761194-10995.0447761194
2286312384499.0447761194-21376.0447761194
2296125484499.0447761194-23245.0447761194
23074914134977.625-60063.625
2313177456099.75-24325.75
2328143784499.0447761194-3062.04477611941
23387186115212.68-28026.68
2345009056099.75-6009.75
23565745115212.68-49467.68
2365665384499.0447761194-27846.0447761194
23715839984499.044776119473899.9552238806
2384645584499.0447761194-38044.0447761194
2397362484499.0447761194-10875.0447761194
2403839556099.75-17704.75
2419189978342.272727272713556.7272727273
242139526134977.6254548.375
2435216484499.0447761194-32335.0447761194
2445156784499.0447761194-32932.0447761194
2457055184499.0447761194-13948.0447761194
2468485684499.0447761194356.955223880592
247102538115212.68-12674.68
2488667878342.27272727278335.72727272728
2498570984499.04477611941209.95522388059
2503466234770.3076923077-108.307692307695
251150580134977.62515602.375
2529961184499.044776119415111.9552238806
2531934918884.7777777778464.222222222223
2549937378342.272727272721030.7272727273
2558623084499.04477611941730.95522388059
2563083734770.3076923077-3933.3076923077
2573170684499.0447761194-52793.0447761194
2588980684499.04477611945306.95522388059
2596208878342.2727272727-16254.2727272727
2604015134770.30769230775380.6923076923
2612763434770.3076923077-7136.3076923077
2627699084499.0447761194-7509.04477611941
2633746034770.30769230772689.6923076923
2645415784499.0447761194-30342.0447761194
2654986278342.2727272727-28480.2727272727
2668433784499.0447761194-162.044776119408
2676417584499.0447761194-20324.0447761194
2685938284499.0447761194-25117.0447761194
26911930884499.044776119434808.9552238806
2707670284499.0447761194-7797.04477611941
27110342578342.272727272725082.7272727273
2727034484499.0447761194-14155.0447761194
2734341034770.30769230778639.6923076923
27410483884499.044776119420338.9552238806
2756221584499.0447761194-22284.0447761194
2766930484499.0447761194-15195.0447761194
2775311756099.75-2982.75
2781976418884.7777777778879.222222222223
2798668084499.04477611942180.95522388059
2808410556099.7528005.25
2817794584499.0447761194-6554.04477611941
2828911384499.04477611944613.95522388059
2839100584499.04477611946505.95522388059
2844024818884.777777777821363.2222222222
2856418756099.758087.25
2865085756099.75-5242.75
2875661356099.75513.25
2886279284499.0447761194-21707.0447761194
2897253556099.7516435.25

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 210907 & 162143.428571429 & 48763.5714285714 \tabularnewline
2 & 120982 & 162143.428571429 & -41161.4285714286 \tabularnewline
3 & 176508 & 162143.428571429 & 14364.5714285714 \tabularnewline
4 & 179321 & 255726.843137255 & -76405.8431372549 \tabularnewline
5 & 123185 & 84499.0447761194 & 38685.9552238806 \tabularnewline
6 & 52746 & 56099.75 & -3353.75 \tabularnewline
7 & 385534 & 255726.843137255 & 129807.156862745 \tabularnewline
8 & 33170 & 34770.3076923077 & -1600.3076923077 \tabularnewline
9 & 101645 & 115212.68 & -13567.68 \tabularnewline
10 & 149061 & 134977.625 & 14083.375 \tabularnewline
11 & 165446 & 162143.428571429 & 3302.57142857142 \tabularnewline
12 & 237213 & 255726.843137255 & -18513.8431372549 \tabularnewline
13 & 173326 & 255726.843137255 & -82400.8431372549 \tabularnewline
14 & 133131 & 134977.625 & -1846.625 \tabularnewline
15 & 258873 & 209940.777777778 & 48932.2222222222 \tabularnewline
16 & 180083 & 162143.428571429 & 17939.5714285714 \tabularnewline
17 & 324799 & 255726.843137255 & 69072.1568627451 \tabularnewline
18 & 230964 & 209940.777777778 & 21023.2222222222 \tabularnewline
19 & 236785 & 255726.843137255 & -18941.8431372549 \tabularnewline
20 & 135473 & 162143.428571429 & -26670.4285714286 \tabularnewline
21 & 202925 & 209940.777777778 & -7015.77777777778 \tabularnewline
22 & 215147 & 209940.777777778 & 5206.22222222222 \tabularnewline
23 & 344297 & 255726.843137255 & 88570.1568627451 \tabularnewline
24 & 153935 & 134977.625 & 18957.375 \tabularnewline
25 & 132943 & 162143.428571429 & -29200.4285714286 \tabularnewline
26 & 174724 & 255726.843137255 & -81002.8431372549 \tabularnewline
27 & 174415 & 255726.843137255 & -81311.8431372549 \tabularnewline
28 & 225548 & 255726.843137255 & -30178.8431372549 \tabularnewline
29 & 223632 & 255726.843137255 & -32094.8431372549 \tabularnewline
30 & 124817 & 134977.625 & -10160.625 \tabularnewline
31 & 221698 & 209940.777777778 & 11757.2222222222 \tabularnewline
32 & 210767 & 209940.777777778 & 826.222222222219 \tabularnewline
33 & 170266 & 134977.625 & 35288.375 \tabularnewline
34 & 260561 & 255726.843137255 & 4834.15686274509 \tabularnewline
35 & 84853 & 134977.625 & -50124.625 \tabularnewline
36 & 294424 & 255726.843137255 & 38697.1568627451 \tabularnewline
37 & 101011 & 84499.0447761194 & 16511.9552238806 \tabularnewline
38 & 215641 & 162143.428571429 & 53497.5714285714 \tabularnewline
39 & 325107 & 255726.843137255 & 69380.1568627451 \tabularnewline
40 & 7176 & 18884.7777777778 & -11708.7777777778 \tabularnewline
41 & 167542 & 162143.428571429 & 5398.57142857142 \tabularnewline
42 & 106408 & 84499.0447761194 & 21908.9552238806 \tabularnewline
43 & 96560 & 115212.68 & -18652.68 \tabularnewline
44 & 265769 & 255726.843137255 & 10042.1568627451 \tabularnewline
45 & 269651 & 209940.777777778 & 59710.2222222222 \tabularnewline
46 & 149112 & 162143.428571429 & -13031.4285714286 \tabularnewline
47 & 175824 & 255726.843137255 & -79902.8431372549 \tabularnewline
48 & 152871 & 162143.428571429 & -9272.42857142858 \tabularnewline
49 & 111665 & 134977.625 & -23312.625 \tabularnewline
50 & 116408 & 115212.68 & 1195.32000000001 \tabularnewline
51 & 362301 & 255726.843137255 & 106574.156862745 \tabularnewline
52 & 78800 & 84499.0447761194 & -5699.04477611941 \tabularnewline
53 & 183167 & 209940.777777778 & -26773.7777777778 \tabularnewline
54 & 277965 & 255726.843137255 & 22238.1568627451 \tabularnewline
55 & 150629 & 162143.428571429 & -11514.4285714286 \tabularnewline
56 & 168809 & 162143.428571429 & 6665.57142857142 \tabularnewline
57 & 24188 & 34770.3076923077 & -10582.3076923077 \tabularnewline
58 & 329267 & 255726.843137255 & 73540.1568627451 \tabularnewline
59 & 65029 & 84499.0447761194 & -19470.0447761194 \tabularnewline
60 & 101097 & 115212.68 & -14115.68 \tabularnewline
61 & 218946 & 162143.428571429 & 56802.5714285714 \tabularnewline
62 & 244052 & 209940.777777778 & 34111.2222222222 \tabularnewline
63 & 341570 & 255726.843137255 & 85843.1568627451 \tabularnewline
64 & 103597 & 84499.0447761194 & 19097.9552238806 \tabularnewline
65 & 233328 & 255726.843137255 & -22398.8431372549 \tabularnewline
66 & 256462 & 255726.843137255 & 735.156862745091 \tabularnewline
67 & 206161 & 162143.428571429 & 44017.5714285714 \tabularnewline
68 & 311473 & 255726.843137255 & 55746.1568627451 \tabularnewline
69 & 235800 & 255726.843137255 & -19926.8431372549 \tabularnewline
70 & 177939 & 255726.843137255 & -77787.8431372549 \tabularnewline
71 & 207176 & 162143.428571429 & 45032.5714285714 \tabularnewline
72 & 196553 & 134977.625 & 61575.375 \tabularnewline
73 & 174184 & 162143.428571429 & 12040.5714285714 \tabularnewline
74 & 143246 & 255726.843137255 & -112480.843137255 \tabularnewline
75 & 187559 & 255726.843137255 & -68167.8431372549 \tabularnewline
76 & 187681 & 209940.777777778 & -22259.7777777778 \tabularnewline
77 & 119016 & 209940.777777778 & -90924.7777777778 \tabularnewline
78 & 182192 & 162143.428571429 & 20048.5714285714 \tabularnewline
79 & 73566 & 84499.0447761194 & -10933.0447761194 \tabularnewline
80 & 194979 & 162143.428571429 & 32835.5714285714 \tabularnewline
81 & 167488 & 162143.428571429 & 5344.57142857142 \tabularnewline
82 & 143756 & 209940.777777778 & -66184.7777777778 \tabularnewline
83 & 275541 & 209940.777777778 & 65600.2222222222 \tabularnewline
84 & 243199 & 255726.843137255 & -12527.8431372549 \tabularnewline
85 & 182999 & 255726.843137255 & -72727.8431372549 \tabularnewline
86 & 135649 & 209940.777777778 & -74291.7777777778 \tabularnewline
87 & 152299 & 162143.428571429 & -9844.42857142858 \tabularnewline
88 & 120221 & 162143.428571429 & -41922.4285714286 \tabularnewline
89 & 346485 & 255726.843137255 & 90758.1568627451 \tabularnewline
90 & 145790 & 134977.625 & 10812.375 \tabularnewline
91 & 193339 & 255726.843137255 & -62387.8431372549 \tabularnewline
92 & 80953 & 84499.0447761194 & -3546.04477611941 \tabularnewline
93 & 122774 & 84499.0447761194 & 38274.9552238806 \tabularnewline
94 & 130585 & 162143.428571429 & -31558.4285714286 \tabularnewline
95 & 112611 & 134977.625 & -22366.625 \tabularnewline
96 & 286468 & 255726.843137255 & 30741.1568627451 \tabularnewline
97 & 241066 & 255726.843137255 & -14660.8431372549 \tabularnewline
98 & 148446 & 255726.843137255 & -107280.843137255 \tabularnewline
99 & 204713 & 162143.428571429 & 42569.5714285714 \tabularnewline
100 & 182079 & 209940.777777778 & -27861.7777777778 \tabularnewline
101 & 140344 & 134977.625 & 5366.375 \tabularnewline
102 & 220516 & 209940.777777778 & 10575.2222222222 \tabularnewline
103 & 243060 & 162143.428571429 & 80916.5714285714 \tabularnewline
104 & 162765 & 162143.428571429 & 621.57142857142 \tabularnewline
105 & 182613 & 162143.428571429 & 20469.5714285714 \tabularnewline
106 & 232138 & 209940.777777778 & 22197.2222222222 \tabularnewline
107 & 265318 & 255726.843137255 & 9591.15686274509 \tabularnewline
108 & 85574 & 84499.0447761194 & 1074.95522388059 \tabularnewline
109 & 310839 & 255726.843137255 & 55112.1568627451 \tabularnewline
110 & 225060 & 255726.843137255 & -30666.8431372549 \tabularnewline
111 & 232317 & 209940.777777778 & 22376.2222222222 \tabularnewline
112 & 144966 & 115212.68 & 29753.32 \tabularnewline
113 & 43287 & 56099.75 & -12812.75 \tabularnewline
114 & 155754 & 162143.428571429 & -6389.42857142858 \tabularnewline
115 & 164709 & 255726.843137255 & -91017.8431372549 \tabularnewline
116 & 201940 & 209940.777777778 & -8000.77777777778 \tabularnewline
117 & 235454 & 255726.843137255 & -20272.8431372549 \tabularnewline
118 & 220801 & 255726.843137255 & -34925.8431372549 \tabularnewline
119 & 99466 & 84499.0447761194 & 14966.9552238806 \tabularnewline
120 & 92661 & 115212.68 & -22551.68 \tabularnewline
121 & 133328 & 162143.428571429 & -28815.4285714286 \tabularnewline
122 & 61361 & 115212.68 & -53851.68 \tabularnewline
123 & 125930 & 115212.68 & 10717.32 \tabularnewline
124 & 100750 & 162143.428571429 & -61393.4285714286 \tabularnewline
125 & 224549 & 162143.428571429 & 62405.5714285714 \tabularnewline
126 & 82316 & 84499.0447761194 & -2183.04477611941 \tabularnewline
127 & 102010 & 115212.68 & -13202.68 \tabularnewline
128 & 101523 & 162143.428571429 & -60620.4285714286 \tabularnewline
129 & 243511 & 209940.777777778 & 33570.2222222222 \tabularnewline
130 & 22938 & 18884.7777777778 & 4053.22222222222 \tabularnewline
131 & 41566 & 34770.3076923077 & 6795.6923076923 \tabularnewline
132 & 152474 & 209940.777777778 & -57466.7777777778 \tabularnewline
133 & 61857 & 84499.0447761194 & -22642.0447761194 \tabularnewline
134 & 99923 & 134977.625 & -35054.625 \tabularnewline
135 & 132487 & 162143.428571429 & -29656.4285714286 \tabularnewline
136 & 317394 & 255726.843137255 & 61667.1568627451 \tabularnewline
137 & 21054 & 18884.7777777778 & 2169.22222222222 \tabularnewline
138 & 209641 & 162143.428571429 & 47497.5714285714 \tabularnewline
139 & 22648 & 34770.3076923077 & -12122.3076923077 \tabularnewline
140 & 31414 & 34770.3076923077 & -3356.3076923077 \tabularnewline
141 & 46698 & 78342.2727272727 & -31644.2727272727 \tabularnewline
142 & 131698 & 162143.428571429 & -30445.4285714286 \tabularnewline
143 & 91735 & 78342.2727272727 & 13392.7272727273 \tabularnewline
144 & 244749 & 255726.843137255 & -10977.8431372549 \tabularnewline
145 & 184510 & 162143.428571429 & 22366.5714285714 \tabularnewline
146 & 79863 & 84499.0447761194 & -4636.04477611941 \tabularnewline
147 & 128423 & 134977.625 & -6554.625 \tabularnewline
148 & 97839 & 84499.0447761194 & 13339.9552238806 \tabularnewline
149 & 38214 & 34770.3076923077 & 3443.6923076923 \tabularnewline
150 & 151101 & 134977.625 & 16123.375 \tabularnewline
151 & 272458 & 209940.777777778 & 62517.2222222222 \tabularnewline
152 & 172494 & 134977.625 & 37516.375 \tabularnewline
153 & 108043 & 115212.68 & -7169.67999999999 \tabularnewline
154 & 328107 & 209940.777777778 & 118166.222222222 \tabularnewline
155 & 250579 & 255726.843137255 & -5147.84313725491 \tabularnewline
156 & 351067 & 255726.843137255 & 95340.1568627451 \tabularnewline
157 & 158015 & 162143.428571429 & -4128.42857142858 \tabularnewline
158 & 98866 & 84499.0447761194 & 14366.9552238806 \tabularnewline
159 & 85439 & 134977.625 & -49538.625 \tabularnewline
160 & 229242 & 255726.843137255 & -26484.8431372549 \tabularnewline
161 & 351619 & 255726.843137255 & 95892.1568627451 \tabularnewline
162 & 84207 & 56099.75 & 28107.25 \tabularnewline
163 & 120445 & 115212.68 & 5232.32000000001 \tabularnewline
164 & 324598 & 255726.843137255 & 68871.1568627451 \tabularnewline
165 & 131069 & 134977.625 & -3908.625 \tabularnewline
166 & 204271 & 209940.777777778 & -5669.77777777778 \tabularnewline
167 & 165543 & 162143.428571429 & 3399.57142857142 \tabularnewline
168 & 141722 & 115212.68 & 26509.32 \tabularnewline
169 & 116048 & 115212.68 & 835.320000000007 \tabularnewline
170 & 250047 & 115212.68 & 134834.32 \tabularnewline
171 & 299775 & 255726.843137255 & 44048.1568627451 \tabularnewline
172 & 195838 & 209940.777777778 & -14102.7777777778 \tabularnewline
173 & 173260 & 134977.625 & 38282.375 \tabularnewline
174 & 254488 & 255726.843137255 & -1238.84313725491 \tabularnewline
175 & 104389 & 209940.777777778 & -105551.777777778 \tabularnewline
176 & 136084 & 84499.0447761194 & 51584.9552238806 \tabularnewline
177 & 199476 & 209940.777777778 & -10464.7777777778 \tabularnewline
178 & 92499 & 84499.0447761194 & 7999.95522388059 \tabularnewline
179 & 224330 & 255726.843137255 & -31396.8431372549 \tabularnewline
180 & 135781 & 84499.0447761194 & 51281.9552238806 \tabularnewline
181 & 74408 & 115212.68 & -40804.68 \tabularnewline
182 & 81240 & 162143.428571429 & -80903.4285714286 \tabularnewline
183 & 14688 & 18884.7777777778 & -4196.77777777778 \tabularnewline
184 & 181633 & 134977.625 & 46655.375 \tabularnewline
185 & 271856 & 255726.843137255 & 16129.1568627451 \tabularnewline
186 & 7199 & 18884.7777777778 & -11685.7777777778 \tabularnewline
187 & 46660 & 34770.3076923077 & 11889.6923076923 \tabularnewline
188 & 17547 & 18884.7777777778 & -1337.77777777778 \tabularnewline
189 & 133368 & 84499.0447761194 & 48868.9552238806 \tabularnewline
190 & 95227 & 84499.0447761194 & 10727.9552238806 \tabularnewline
191 & 152601 & 84499.0447761194 & 68101.9552238806 \tabularnewline
192 & 98146 & 78342.2727272727 & 19803.7272727273 \tabularnewline
193 & 79619 & 84499.0447761194 & -4880.04477611941 \tabularnewline
194 & 59194 & 56099.75 & 3094.25 \tabularnewline
195 & 139942 & 162143.428571429 & -22201.4285714286 \tabularnewline
196 & 118612 & 162143.428571429 & -43531.4285714286 \tabularnewline
197 & 72880 & 78342.2727272727 & -5462.27272727272 \tabularnewline
198 & 65475 & 56099.75 & 9375.25 \tabularnewline
199 & 99643 & 115212.68 & -15569.68 \tabularnewline
200 & 71965 & 84499.0447761194 & -12534.0447761194 \tabularnewline
201 & 77272 & 115212.68 & -37940.68 \tabularnewline
202 & 49289 & 56099.75 & -6810.75 \tabularnewline
203 & 135131 & 115212.68 & 19918.32 \tabularnewline
204 & 108446 & 115212.68 & -6766.67999999999 \tabularnewline
205 & 89746 & 84499.0447761194 & 5246.95522388059 \tabularnewline
206 & 44296 & 56099.75 & -11803.75 \tabularnewline
207 & 77648 & 84499.0447761194 & -6851.04477611941 \tabularnewline
208 & 181528 & 115212.68 & 66315.32 \tabularnewline
209 & 134019 & 115212.68 & 18806.32 \tabularnewline
210 & 124064 & 134977.625 & -10913.625 \tabularnewline
211 & 92630 & 84499.0447761194 & 8130.95522388059 \tabularnewline
212 & 121848 & 84499.0447761194 & 37348.9552238806 \tabularnewline
213 & 52915 & 84499.0447761194 & -31584.0447761194 \tabularnewline
214 & 81872 & 84499.0447761194 & -2627.04477611941 \tabularnewline
215 & 58981 & 78342.2727272727 & -19361.2727272727 \tabularnewline
216 & 53515 & 56099.75 & -2584.75 \tabularnewline
217 & 60812 & 84499.0447761194 & -23687.0447761194 \tabularnewline
218 & 56375 & 56099.75 & 275.25 \tabularnewline
219 & 65490 & 84499.0447761194 & -19009.0447761194 \tabularnewline
220 & 80949 & 56099.75 & 24849.25 \tabularnewline
221 & 76302 & 84499.0447761194 & -8197.04477611941 \tabularnewline
222 & 104011 & 134977.625 & -30966.625 \tabularnewline
223 & 98104 & 162143.428571429 & -64039.4285714286 \tabularnewline
224 & 67989 & 84499.0447761194 & -16510.0447761194 \tabularnewline
225 & 30989 & 56099.75 & -25110.75 \tabularnewline
226 & 135458 & 115212.68 & 20245.32 \tabularnewline
227 & 73504 & 84499.0447761194 & -10995.0447761194 \tabularnewline
228 & 63123 & 84499.0447761194 & -21376.0447761194 \tabularnewline
229 & 61254 & 84499.0447761194 & -23245.0447761194 \tabularnewline
230 & 74914 & 134977.625 & -60063.625 \tabularnewline
231 & 31774 & 56099.75 & -24325.75 \tabularnewline
232 & 81437 & 84499.0447761194 & -3062.04477611941 \tabularnewline
233 & 87186 & 115212.68 & -28026.68 \tabularnewline
234 & 50090 & 56099.75 & -6009.75 \tabularnewline
235 & 65745 & 115212.68 & -49467.68 \tabularnewline
236 & 56653 & 84499.0447761194 & -27846.0447761194 \tabularnewline
237 & 158399 & 84499.0447761194 & 73899.9552238806 \tabularnewline
238 & 46455 & 84499.0447761194 & -38044.0447761194 \tabularnewline
239 & 73624 & 84499.0447761194 & -10875.0447761194 \tabularnewline
240 & 38395 & 56099.75 & -17704.75 \tabularnewline
241 & 91899 & 78342.2727272727 & 13556.7272727273 \tabularnewline
242 & 139526 & 134977.625 & 4548.375 \tabularnewline
243 & 52164 & 84499.0447761194 & -32335.0447761194 \tabularnewline
244 & 51567 & 84499.0447761194 & -32932.0447761194 \tabularnewline
245 & 70551 & 84499.0447761194 & -13948.0447761194 \tabularnewline
246 & 84856 & 84499.0447761194 & 356.955223880592 \tabularnewline
247 & 102538 & 115212.68 & -12674.68 \tabularnewline
248 & 86678 & 78342.2727272727 & 8335.72727272728 \tabularnewline
249 & 85709 & 84499.0447761194 & 1209.95522388059 \tabularnewline
250 & 34662 & 34770.3076923077 & -108.307692307695 \tabularnewline
251 & 150580 & 134977.625 & 15602.375 \tabularnewline
252 & 99611 & 84499.0447761194 & 15111.9552238806 \tabularnewline
253 & 19349 & 18884.7777777778 & 464.222222222223 \tabularnewline
254 & 99373 & 78342.2727272727 & 21030.7272727273 \tabularnewline
255 & 86230 & 84499.0447761194 & 1730.95522388059 \tabularnewline
256 & 30837 & 34770.3076923077 & -3933.3076923077 \tabularnewline
257 & 31706 & 84499.0447761194 & -52793.0447761194 \tabularnewline
258 & 89806 & 84499.0447761194 & 5306.95522388059 \tabularnewline
259 & 62088 & 78342.2727272727 & -16254.2727272727 \tabularnewline
260 & 40151 & 34770.3076923077 & 5380.6923076923 \tabularnewline
261 & 27634 & 34770.3076923077 & -7136.3076923077 \tabularnewline
262 & 76990 & 84499.0447761194 & -7509.04477611941 \tabularnewline
263 & 37460 & 34770.3076923077 & 2689.6923076923 \tabularnewline
264 & 54157 & 84499.0447761194 & -30342.0447761194 \tabularnewline
265 & 49862 & 78342.2727272727 & -28480.2727272727 \tabularnewline
266 & 84337 & 84499.0447761194 & -162.044776119408 \tabularnewline
267 & 64175 & 84499.0447761194 & -20324.0447761194 \tabularnewline
268 & 59382 & 84499.0447761194 & -25117.0447761194 \tabularnewline
269 & 119308 & 84499.0447761194 & 34808.9552238806 \tabularnewline
270 & 76702 & 84499.0447761194 & -7797.04477611941 \tabularnewline
271 & 103425 & 78342.2727272727 & 25082.7272727273 \tabularnewline
272 & 70344 & 84499.0447761194 & -14155.0447761194 \tabularnewline
273 & 43410 & 34770.3076923077 & 8639.6923076923 \tabularnewline
274 & 104838 & 84499.0447761194 & 20338.9552238806 \tabularnewline
275 & 62215 & 84499.0447761194 & -22284.0447761194 \tabularnewline
276 & 69304 & 84499.0447761194 & -15195.0447761194 \tabularnewline
277 & 53117 & 56099.75 & -2982.75 \tabularnewline
278 & 19764 & 18884.7777777778 & 879.222222222223 \tabularnewline
279 & 86680 & 84499.0447761194 & 2180.95522388059 \tabularnewline
280 & 84105 & 56099.75 & 28005.25 \tabularnewline
281 & 77945 & 84499.0447761194 & -6554.04477611941 \tabularnewline
282 & 89113 & 84499.0447761194 & 4613.95522388059 \tabularnewline
283 & 91005 & 84499.0447761194 & 6505.95522388059 \tabularnewline
284 & 40248 & 18884.7777777778 & 21363.2222222222 \tabularnewline
285 & 64187 & 56099.75 & 8087.25 \tabularnewline
286 & 50857 & 56099.75 & -5242.75 \tabularnewline
287 & 56613 & 56099.75 & 513.25 \tabularnewline
288 & 62792 & 84499.0447761194 & -21707.0447761194 \tabularnewline
289 & 72535 & 56099.75 & 16435.25 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158426&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]210907[/C][C]162143.428571429[/C][C]48763.5714285714[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]162143.428571429[/C][C]-41161.4285714286[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]162143.428571429[/C][C]14364.5714285714[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]255726.843137255[/C][C]-76405.8431372549[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]84499.0447761194[/C][C]38685.9552238806[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]56099.75[/C][C]-3353.75[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]255726.843137255[/C][C]129807.156862745[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]34770.3076923077[/C][C]-1600.3076923077[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]115212.68[/C][C]-13567.68[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]134977.625[/C][C]14083.375[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]162143.428571429[/C][C]3302.57142857142[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]255726.843137255[/C][C]-18513.8431372549[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]255726.843137255[/C][C]-82400.8431372549[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]134977.625[/C][C]-1846.625[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]209940.777777778[/C][C]48932.2222222222[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]162143.428571429[/C][C]17939.5714285714[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]255726.843137255[/C][C]69072.1568627451[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]209940.777777778[/C][C]21023.2222222222[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]255726.843137255[/C][C]-18941.8431372549[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]162143.428571429[/C][C]-26670.4285714286[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]209940.777777778[/C][C]-7015.77777777778[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]209940.777777778[/C][C]5206.22222222222[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]255726.843137255[/C][C]88570.1568627451[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]134977.625[/C][C]18957.375[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]162143.428571429[/C][C]-29200.4285714286[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]255726.843137255[/C][C]-81002.8431372549[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]255726.843137255[/C][C]-81311.8431372549[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]255726.843137255[/C][C]-30178.8431372549[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]255726.843137255[/C][C]-32094.8431372549[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]134977.625[/C][C]-10160.625[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]209940.777777778[/C][C]11757.2222222222[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]209940.777777778[/C][C]826.222222222219[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]134977.625[/C][C]35288.375[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]255726.843137255[/C][C]4834.15686274509[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]134977.625[/C][C]-50124.625[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]255726.843137255[/C][C]38697.1568627451[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]84499.0447761194[/C][C]16511.9552238806[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]162143.428571429[/C][C]53497.5714285714[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]255726.843137255[/C][C]69380.1568627451[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]18884.7777777778[/C][C]-11708.7777777778[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]162143.428571429[/C][C]5398.57142857142[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]84499.0447761194[/C][C]21908.9552238806[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]115212.68[/C][C]-18652.68[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]255726.843137255[/C][C]10042.1568627451[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]209940.777777778[/C][C]59710.2222222222[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]162143.428571429[/C][C]-13031.4285714286[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]255726.843137255[/C][C]-79902.8431372549[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]162143.428571429[/C][C]-9272.42857142858[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]134977.625[/C][C]-23312.625[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]115212.68[/C][C]1195.32000000001[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]255726.843137255[/C][C]106574.156862745[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]84499.0447761194[/C][C]-5699.04477611941[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]209940.777777778[/C][C]-26773.7777777778[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]255726.843137255[/C][C]22238.1568627451[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]162143.428571429[/C][C]-11514.4285714286[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]162143.428571429[/C][C]6665.57142857142[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]34770.3076923077[/C][C]-10582.3076923077[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]255726.843137255[/C][C]73540.1568627451[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]84499.0447761194[/C][C]-19470.0447761194[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]115212.68[/C][C]-14115.68[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]162143.428571429[/C][C]56802.5714285714[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]209940.777777778[/C][C]34111.2222222222[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]255726.843137255[/C][C]85843.1568627451[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]84499.0447761194[/C][C]19097.9552238806[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]255726.843137255[/C][C]-22398.8431372549[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]255726.843137255[/C][C]735.156862745091[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]162143.428571429[/C][C]44017.5714285714[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]255726.843137255[/C][C]55746.1568627451[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]255726.843137255[/C][C]-19926.8431372549[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]255726.843137255[/C][C]-77787.8431372549[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]162143.428571429[/C][C]45032.5714285714[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]134977.625[/C][C]61575.375[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]162143.428571429[/C][C]12040.5714285714[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]255726.843137255[/C][C]-112480.843137255[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]255726.843137255[/C][C]-68167.8431372549[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]209940.777777778[/C][C]-22259.7777777778[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]209940.777777778[/C][C]-90924.7777777778[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]162143.428571429[/C][C]20048.5714285714[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]84499.0447761194[/C][C]-10933.0447761194[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]162143.428571429[/C][C]32835.5714285714[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]162143.428571429[/C][C]5344.57142857142[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]209940.777777778[/C][C]-66184.7777777778[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]209940.777777778[/C][C]65600.2222222222[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]255726.843137255[/C][C]-12527.8431372549[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]255726.843137255[/C][C]-72727.8431372549[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]209940.777777778[/C][C]-74291.7777777778[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]162143.428571429[/C][C]-9844.42857142858[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]162143.428571429[/C][C]-41922.4285714286[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]255726.843137255[/C][C]90758.1568627451[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]134977.625[/C][C]10812.375[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]255726.843137255[/C][C]-62387.8431372549[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]84499.0447761194[/C][C]-3546.04477611941[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]84499.0447761194[/C][C]38274.9552238806[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]162143.428571429[/C][C]-31558.4285714286[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]134977.625[/C][C]-22366.625[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]255726.843137255[/C][C]30741.1568627451[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]255726.843137255[/C][C]-14660.8431372549[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]255726.843137255[/C][C]-107280.843137255[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]162143.428571429[/C][C]42569.5714285714[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]209940.777777778[/C][C]-27861.7777777778[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]134977.625[/C][C]5366.375[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]209940.777777778[/C][C]10575.2222222222[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]162143.428571429[/C][C]80916.5714285714[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]162143.428571429[/C][C]621.57142857142[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]162143.428571429[/C][C]20469.5714285714[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]209940.777777778[/C][C]22197.2222222222[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]255726.843137255[/C][C]9591.15686274509[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]84499.0447761194[/C][C]1074.95522388059[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]255726.843137255[/C][C]55112.1568627451[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]255726.843137255[/C][C]-30666.8431372549[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]209940.777777778[/C][C]22376.2222222222[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]115212.68[/C][C]29753.32[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]56099.75[/C][C]-12812.75[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]162143.428571429[/C][C]-6389.42857142858[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]255726.843137255[/C][C]-91017.8431372549[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]209940.777777778[/C][C]-8000.77777777778[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]255726.843137255[/C][C]-20272.8431372549[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]255726.843137255[/C][C]-34925.8431372549[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]84499.0447761194[/C][C]14966.9552238806[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]115212.68[/C][C]-22551.68[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]162143.428571429[/C][C]-28815.4285714286[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]115212.68[/C][C]-53851.68[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]115212.68[/C][C]10717.32[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]162143.428571429[/C][C]-61393.4285714286[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]162143.428571429[/C][C]62405.5714285714[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]84499.0447761194[/C][C]-2183.04477611941[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]115212.68[/C][C]-13202.68[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]162143.428571429[/C][C]-60620.4285714286[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]209940.777777778[/C][C]33570.2222222222[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]18884.7777777778[/C][C]4053.22222222222[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]34770.3076923077[/C][C]6795.6923076923[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]209940.777777778[/C][C]-57466.7777777778[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]84499.0447761194[/C][C]-22642.0447761194[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]134977.625[/C][C]-35054.625[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]162143.428571429[/C][C]-29656.4285714286[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]255726.843137255[/C][C]61667.1568627451[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]18884.7777777778[/C][C]2169.22222222222[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]162143.428571429[/C][C]47497.5714285714[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]34770.3076923077[/C][C]-12122.3076923077[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]34770.3076923077[/C][C]-3356.3076923077[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]78342.2727272727[/C][C]-31644.2727272727[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]162143.428571429[/C][C]-30445.4285714286[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]78342.2727272727[/C][C]13392.7272727273[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]255726.843137255[/C][C]-10977.8431372549[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]162143.428571429[/C][C]22366.5714285714[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]84499.0447761194[/C][C]-4636.04477611941[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]134977.625[/C][C]-6554.625[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]84499.0447761194[/C][C]13339.9552238806[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]34770.3076923077[/C][C]3443.6923076923[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]134977.625[/C][C]16123.375[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]209940.777777778[/C][C]62517.2222222222[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]134977.625[/C][C]37516.375[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]115212.68[/C][C]-7169.67999999999[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]209940.777777778[/C][C]118166.222222222[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]255726.843137255[/C][C]-5147.84313725491[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]255726.843137255[/C][C]95340.1568627451[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]162143.428571429[/C][C]-4128.42857142858[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]84499.0447761194[/C][C]14366.9552238806[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]134977.625[/C][C]-49538.625[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]255726.843137255[/C][C]-26484.8431372549[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]255726.843137255[/C][C]95892.1568627451[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]56099.75[/C][C]28107.25[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]115212.68[/C][C]5232.32000000001[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]255726.843137255[/C][C]68871.1568627451[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]134977.625[/C][C]-3908.625[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]209940.777777778[/C][C]-5669.77777777778[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]162143.428571429[/C][C]3399.57142857142[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]115212.68[/C][C]26509.32[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]115212.68[/C][C]835.320000000007[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]115212.68[/C][C]134834.32[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]255726.843137255[/C][C]44048.1568627451[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]209940.777777778[/C][C]-14102.7777777778[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]134977.625[/C][C]38282.375[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]255726.843137255[/C][C]-1238.84313725491[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]209940.777777778[/C][C]-105551.777777778[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]84499.0447761194[/C][C]51584.9552238806[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]209940.777777778[/C][C]-10464.7777777778[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]84499.0447761194[/C][C]7999.95522388059[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]255726.843137255[/C][C]-31396.8431372549[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]84499.0447761194[/C][C]51281.9552238806[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]115212.68[/C][C]-40804.68[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]162143.428571429[/C][C]-80903.4285714286[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]18884.7777777778[/C][C]-4196.77777777778[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]134977.625[/C][C]46655.375[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]255726.843137255[/C][C]16129.1568627451[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]18884.7777777778[/C][C]-11685.7777777778[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]34770.3076923077[/C][C]11889.6923076923[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]18884.7777777778[/C][C]-1337.77777777778[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]84499.0447761194[/C][C]48868.9552238806[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]84499.0447761194[/C][C]10727.9552238806[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]84499.0447761194[/C][C]68101.9552238806[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]78342.2727272727[/C][C]19803.7272727273[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]84499.0447761194[/C][C]-4880.04477611941[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]56099.75[/C][C]3094.25[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]162143.428571429[/C][C]-22201.4285714286[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]162143.428571429[/C][C]-43531.4285714286[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]78342.2727272727[/C][C]-5462.27272727272[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]56099.75[/C][C]9375.25[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]115212.68[/C][C]-15569.68[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]84499.0447761194[/C][C]-12534.0447761194[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]115212.68[/C][C]-37940.68[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]56099.75[/C][C]-6810.75[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]115212.68[/C][C]19918.32[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]115212.68[/C][C]-6766.67999999999[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]84499.0447761194[/C][C]5246.95522388059[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]56099.75[/C][C]-11803.75[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]84499.0447761194[/C][C]-6851.04477611941[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]115212.68[/C][C]66315.32[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]115212.68[/C][C]18806.32[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]134977.625[/C][C]-10913.625[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]84499.0447761194[/C][C]8130.95522388059[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]84499.0447761194[/C][C]37348.9552238806[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]84499.0447761194[/C][C]-31584.0447761194[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]84499.0447761194[/C][C]-2627.04477611941[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]78342.2727272727[/C][C]-19361.2727272727[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]56099.75[/C][C]-2584.75[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]84499.0447761194[/C][C]-23687.0447761194[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]56099.75[/C][C]275.25[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]84499.0447761194[/C][C]-19009.0447761194[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]56099.75[/C][C]24849.25[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]84499.0447761194[/C][C]-8197.04477611941[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]134977.625[/C][C]-30966.625[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]162143.428571429[/C][C]-64039.4285714286[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]84499.0447761194[/C][C]-16510.0447761194[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]56099.75[/C][C]-25110.75[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]115212.68[/C][C]20245.32[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]84499.0447761194[/C][C]-10995.0447761194[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]84499.0447761194[/C][C]-21376.0447761194[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]84499.0447761194[/C][C]-23245.0447761194[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]134977.625[/C][C]-60063.625[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]56099.75[/C][C]-24325.75[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]84499.0447761194[/C][C]-3062.04477611941[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]115212.68[/C][C]-28026.68[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]56099.75[/C][C]-6009.75[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]115212.68[/C][C]-49467.68[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]84499.0447761194[/C][C]-27846.0447761194[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]84499.0447761194[/C][C]73899.9552238806[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]84499.0447761194[/C][C]-38044.0447761194[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]84499.0447761194[/C][C]-10875.0447761194[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]56099.75[/C][C]-17704.75[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]78342.2727272727[/C][C]13556.7272727273[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]134977.625[/C][C]4548.375[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]84499.0447761194[/C][C]-32335.0447761194[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]84499.0447761194[/C][C]-32932.0447761194[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]84499.0447761194[/C][C]-13948.0447761194[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]84499.0447761194[/C][C]356.955223880592[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]115212.68[/C][C]-12674.68[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]78342.2727272727[/C][C]8335.72727272728[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]84499.0447761194[/C][C]1209.95522388059[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]34770.3076923077[/C][C]-108.307692307695[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]134977.625[/C][C]15602.375[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]84499.0447761194[/C][C]15111.9552238806[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]18884.7777777778[/C][C]464.222222222223[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]78342.2727272727[/C][C]21030.7272727273[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]84499.0447761194[/C][C]1730.95522388059[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]34770.3076923077[/C][C]-3933.3076923077[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]84499.0447761194[/C][C]-52793.0447761194[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]84499.0447761194[/C][C]5306.95522388059[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]78342.2727272727[/C][C]-16254.2727272727[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]34770.3076923077[/C][C]5380.6923076923[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]34770.3076923077[/C][C]-7136.3076923077[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]84499.0447761194[/C][C]-7509.04477611941[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]34770.3076923077[/C][C]2689.6923076923[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]84499.0447761194[/C][C]-30342.0447761194[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]78342.2727272727[/C][C]-28480.2727272727[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]84499.0447761194[/C][C]-162.044776119408[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]84499.0447761194[/C][C]-20324.0447761194[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]84499.0447761194[/C][C]-25117.0447761194[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]84499.0447761194[/C][C]34808.9552238806[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]84499.0447761194[/C][C]-7797.04477611941[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]78342.2727272727[/C][C]25082.7272727273[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]84499.0447761194[/C][C]-14155.0447761194[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]34770.3076923077[/C][C]8639.6923076923[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]84499.0447761194[/C][C]20338.9552238806[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]84499.0447761194[/C][C]-22284.0447761194[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]84499.0447761194[/C][C]-15195.0447761194[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]56099.75[/C][C]-2982.75[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]18884.7777777778[/C][C]879.222222222223[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]84499.0447761194[/C][C]2180.95522388059[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]56099.75[/C][C]28005.25[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]84499.0447761194[/C][C]-6554.04477611941[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]84499.0447761194[/C][C]4613.95522388059[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]84499.0447761194[/C][C]6505.95522388059[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]18884.7777777778[/C][C]21363.2222222222[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]56099.75[/C][C]8087.25[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]56099.75[/C][C]-5242.75[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]56099.75[/C][C]513.25[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]84499.0447761194[/C][C]-21707.0447761194[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]56099.75[/C][C]16435.25[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158426&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158426&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
#ActualsForecastsResiduals
1210907162143.42857142948763.5714285714
2120982162143.428571429-41161.4285714286
3176508162143.42857142914364.5714285714
4179321255726.843137255-76405.8431372549
512318584499.044776119438685.9552238806
65274656099.75-3353.75
7385534255726.843137255129807.156862745
83317034770.3076923077-1600.3076923077
9101645115212.68-13567.68
10149061134977.62514083.375
11165446162143.4285714293302.57142857142
12237213255726.843137255-18513.8431372549
13173326255726.843137255-82400.8431372549
14133131134977.625-1846.625
15258873209940.77777777848932.2222222222
16180083162143.42857142917939.5714285714
17324799255726.84313725569072.1568627451
18230964209940.77777777821023.2222222222
19236785255726.843137255-18941.8431372549
20135473162143.428571429-26670.4285714286
21202925209940.777777778-7015.77777777778
22215147209940.7777777785206.22222222222
23344297255726.84313725588570.1568627451
24153935134977.62518957.375
25132943162143.428571429-29200.4285714286
26174724255726.843137255-81002.8431372549
27174415255726.843137255-81311.8431372549
28225548255726.843137255-30178.8431372549
29223632255726.843137255-32094.8431372549
30124817134977.625-10160.625
31221698209940.77777777811757.2222222222
32210767209940.777777778826.222222222219
33170266134977.62535288.375
34260561255726.8431372554834.15686274509
3584853134977.625-50124.625
36294424255726.84313725538697.1568627451
3710101184499.044776119416511.9552238806
38215641162143.42857142953497.5714285714
39325107255726.84313725569380.1568627451
40717618884.7777777778-11708.7777777778
41167542162143.4285714295398.57142857142
4210640884499.044776119421908.9552238806
4396560115212.68-18652.68
44265769255726.84313725510042.1568627451
45269651209940.77777777859710.2222222222
46149112162143.428571429-13031.4285714286
47175824255726.843137255-79902.8431372549
48152871162143.428571429-9272.42857142858
49111665134977.625-23312.625
50116408115212.681195.32000000001
51362301255726.843137255106574.156862745
527880084499.0447761194-5699.04477611941
53183167209940.777777778-26773.7777777778
54277965255726.84313725522238.1568627451
55150629162143.428571429-11514.4285714286
56168809162143.4285714296665.57142857142
572418834770.3076923077-10582.3076923077
58329267255726.84313725573540.1568627451
596502984499.0447761194-19470.0447761194
60101097115212.68-14115.68
61218946162143.42857142956802.5714285714
62244052209940.77777777834111.2222222222
63341570255726.84313725585843.1568627451
6410359784499.044776119419097.9552238806
65233328255726.843137255-22398.8431372549
66256462255726.843137255735.156862745091
67206161162143.42857142944017.5714285714
68311473255726.84313725555746.1568627451
69235800255726.843137255-19926.8431372549
70177939255726.843137255-77787.8431372549
71207176162143.42857142945032.5714285714
72196553134977.62561575.375
73174184162143.42857142912040.5714285714
74143246255726.843137255-112480.843137255
75187559255726.843137255-68167.8431372549
76187681209940.777777778-22259.7777777778
77119016209940.777777778-90924.7777777778
78182192162143.42857142920048.5714285714
797356684499.0447761194-10933.0447761194
80194979162143.42857142932835.5714285714
81167488162143.4285714295344.57142857142
82143756209940.777777778-66184.7777777778
83275541209940.77777777865600.2222222222
84243199255726.843137255-12527.8431372549
85182999255726.843137255-72727.8431372549
86135649209940.777777778-74291.7777777778
87152299162143.428571429-9844.42857142858
88120221162143.428571429-41922.4285714286
89346485255726.84313725590758.1568627451
90145790134977.62510812.375
91193339255726.843137255-62387.8431372549
928095384499.0447761194-3546.04477611941
9312277484499.044776119438274.9552238806
94130585162143.428571429-31558.4285714286
95112611134977.625-22366.625
96286468255726.84313725530741.1568627451
97241066255726.843137255-14660.8431372549
98148446255726.843137255-107280.843137255
99204713162143.42857142942569.5714285714
100182079209940.777777778-27861.7777777778
101140344134977.6255366.375
102220516209940.77777777810575.2222222222
103243060162143.42857142980916.5714285714
104162765162143.428571429621.57142857142
105182613162143.42857142920469.5714285714
106232138209940.77777777822197.2222222222
107265318255726.8431372559591.15686274509
1088557484499.04477611941074.95522388059
109310839255726.84313725555112.1568627451
110225060255726.843137255-30666.8431372549
111232317209940.77777777822376.2222222222
112144966115212.6829753.32
1134328756099.75-12812.75
114155754162143.428571429-6389.42857142858
115164709255726.843137255-91017.8431372549
116201940209940.777777778-8000.77777777778
117235454255726.843137255-20272.8431372549
118220801255726.843137255-34925.8431372549
1199946684499.044776119414966.9552238806
12092661115212.68-22551.68
121133328162143.428571429-28815.4285714286
12261361115212.68-53851.68
123125930115212.6810717.32
124100750162143.428571429-61393.4285714286
125224549162143.42857142962405.5714285714
1268231684499.0447761194-2183.04477611941
127102010115212.68-13202.68
128101523162143.428571429-60620.4285714286
129243511209940.77777777833570.2222222222
1302293818884.77777777784053.22222222222
1314156634770.30769230776795.6923076923
132152474209940.777777778-57466.7777777778
1336185784499.0447761194-22642.0447761194
13499923134977.625-35054.625
135132487162143.428571429-29656.4285714286
136317394255726.84313725561667.1568627451
1372105418884.77777777782169.22222222222
138209641162143.42857142947497.5714285714
1392264834770.3076923077-12122.3076923077
1403141434770.3076923077-3356.3076923077
1414669878342.2727272727-31644.2727272727
142131698162143.428571429-30445.4285714286
1439173578342.272727272713392.7272727273
144244749255726.843137255-10977.8431372549
145184510162143.42857142922366.5714285714
1467986384499.0447761194-4636.04477611941
147128423134977.625-6554.625
1489783984499.044776119413339.9552238806
1493821434770.30769230773443.6923076923
150151101134977.62516123.375
151272458209940.77777777862517.2222222222
152172494134977.62537516.375
153108043115212.68-7169.67999999999
154328107209940.777777778118166.222222222
155250579255726.843137255-5147.84313725491
156351067255726.84313725595340.1568627451
157158015162143.428571429-4128.42857142858
1589886684499.044776119414366.9552238806
15985439134977.625-49538.625
160229242255726.843137255-26484.8431372549
161351619255726.84313725595892.1568627451
1628420756099.7528107.25
163120445115212.685232.32000000001
164324598255726.84313725568871.1568627451
165131069134977.625-3908.625
166204271209940.777777778-5669.77777777778
167165543162143.4285714293399.57142857142
168141722115212.6826509.32
169116048115212.68835.320000000007
170250047115212.68134834.32
171299775255726.84313725544048.1568627451
172195838209940.777777778-14102.7777777778
173173260134977.62538282.375
174254488255726.843137255-1238.84313725491
175104389209940.777777778-105551.777777778
17613608484499.044776119451584.9552238806
177199476209940.777777778-10464.7777777778
1789249984499.04477611947999.95522388059
179224330255726.843137255-31396.8431372549
18013578184499.044776119451281.9552238806
18174408115212.68-40804.68
18281240162143.428571429-80903.4285714286
1831468818884.7777777778-4196.77777777778
184181633134977.62546655.375
185271856255726.84313725516129.1568627451
186719918884.7777777778-11685.7777777778
1874666034770.307692307711889.6923076923
1881754718884.7777777778-1337.77777777778
18913336884499.044776119448868.9552238806
1909522784499.044776119410727.9552238806
19115260184499.044776119468101.9552238806
1929814678342.272727272719803.7272727273
1937961984499.0447761194-4880.04477611941
1945919456099.753094.25
195139942162143.428571429-22201.4285714286
196118612162143.428571429-43531.4285714286
1977288078342.2727272727-5462.27272727272
1986547556099.759375.25
19999643115212.68-15569.68
2007196584499.0447761194-12534.0447761194
20177272115212.68-37940.68
2024928956099.75-6810.75
203135131115212.6819918.32
204108446115212.68-6766.67999999999
2058974684499.04477611945246.95522388059
2064429656099.75-11803.75
2077764884499.0447761194-6851.04477611941
208181528115212.6866315.32
209134019115212.6818806.32
210124064134977.625-10913.625
2119263084499.04477611948130.95522388059
21212184884499.044776119437348.9552238806
2135291584499.0447761194-31584.0447761194
2148187284499.0447761194-2627.04477611941
2155898178342.2727272727-19361.2727272727
2165351556099.75-2584.75
2176081284499.0447761194-23687.0447761194
2185637556099.75275.25
2196549084499.0447761194-19009.0447761194
2208094956099.7524849.25
2217630284499.0447761194-8197.04477611941
222104011134977.625-30966.625
22398104162143.428571429-64039.4285714286
2246798984499.0447761194-16510.0447761194
2253098956099.75-25110.75
226135458115212.6820245.32
2277350484499.0447761194-10995.0447761194
2286312384499.0447761194-21376.0447761194
2296125484499.0447761194-23245.0447761194
23074914134977.625-60063.625
2313177456099.75-24325.75
2328143784499.0447761194-3062.04477611941
23387186115212.68-28026.68
2345009056099.75-6009.75
23565745115212.68-49467.68
2365665384499.0447761194-27846.0447761194
23715839984499.044776119473899.9552238806
2384645584499.0447761194-38044.0447761194
2397362484499.0447761194-10875.0447761194
2403839556099.75-17704.75
2419189978342.272727272713556.7272727273
242139526134977.6254548.375
2435216484499.0447761194-32335.0447761194
2445156784499.0447761194-32932.0447761194
2457055184499.0447761194-13948.0447761194
2468485684499.0447761194356.955223880592
247102538115212.68-12674.68
2488667878342.27272727278335.72727272728
2498570984499.04477611941209.95522388059
2503466234770.3076923077-108.307692307695
251150580134977.62515602.375
2529961184499.044776119415111.9552238806
2531934918884.7777777778464.222222222223
2549937378342.272727272721030.7272727273
2558623084499.04477611941730.95522388059
2563083734770.3076923077-3933.3076923077
2573170684499.0447761194-52793.0447761194
2588980684499.04477611945306.95522388059
2596208878342.2727272727-16254.2727272727
2604015134770.30769230775380.6923076923
2612763434770.3076923077-7136.3076923077
2627699084499.0447761194-7509.04477611941
2633746034770.30769230772689.6923076923
2645415784499.0447761194-30342.0447761194
2654986278342.2727272727-28480.2727272727
2668433784499.0447761194-162.044776119408
2676417584499.0447761194-20324.0447761194
2685938284499.0447761194-25117.0447761194
26911930884499.044776119434808.9552238806
2707670284499.0447761194-7797.04477611941
27110342578342.272727272725082.7272727273
2727034484499.0447761194-14155.0447761194
2734341034770.30769230778639.6923076923
27410483884499.044776119420338.9552238806
2756221584499.0447761194-22284.0447761194
2766930484499.0447761194-15195.0447761194
2775311756099.75-2982.75
2781976418884.7777777778879.222222222223
2798668084499.04477611942180.95522388059
2808410556099.7528005.25
2817794584499.0447761194-6554.04477611941
2828911384499.04477611944613.95522388059
2839100584499.04477611946505.95522388059
2844024818884.777777777821363.2222222222
2856418756099.758087.25
2865085756099.75-5242.75
2875661356099.75513.25
2886279284499.0447761194-21707.0447761194
2897253556099.7516435.25



Parameters (Session):
par1 = 1 ; par2 = none ; par3 = 3 ; par4 = no ;
Parameters (R input):
par1 = 1 ; 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')
}