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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

Fri, 07 Dec 2012 09:29:32 -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/2012/Dec/07/t13548906038co09foq9xpnbod.htm/, Retrieved Thu, 25 Apr 2024 01:40:08 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197392, Retrieved Thu, 25 Apr 2024 01:40:08 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

124

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

-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 18:59:57] [b98453cac15ba1066b407e146608df68]
- R PD    [Recursive Partitioning (Regression Trees)] [Recusive Partitio...] [2012-12-07 14:29:32] [e3d79eec5d0d9e3c05706137ffeca8bc] [Current]
-   P       [Recursive Partitioning (Regression Trees)] [Recusive Partitio...] [2012-12-07 14:31:47] [2bd452e91ac81344e4a11ef6d5439293] 
-             [Recursive Partitioning (Regression Trees)] [Recusive Partitio...] [2012-12-07 14:33:23] [2bd452e91ac81344e4a11ef6d5439293] 
-   P       [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2012-12-07 14:34:10] [2bd452e91ac81344e4a11ef6d5439293] 
-   P       [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2012-12-07 14:34:10] [2bd452e91ac81344e4a11ef6d5439293] 
-   P       [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2012-12-07 14:34:10] [2bd452e91ac81344e4a11ef6d5439293] 
-   P       [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2012-12-07 14:41:38] [2bd452e91ac81344e4a11ef6d5439293] 
-   P       [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2012-12-07 14:42:39] [2bd452e91ac81344e4a11ef6d5439293] 
-   P       [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2012-12-07 14:43:51] [2bd452e91ac81344e4a11ef6d5439293] 
-   P       [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2012-12-07 14:44:54] [2bd452e91ac81344e4a11ef6d5439293] 

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Dataseries X:

Download CSV

Histogram

Boxplots

210907	1	1	24188	145
120982	1	1	18273	101
176508	1	1	14130	98
179321	1	0	32287	132
123185	1	1	8654	60
52746	1	1	9245	38
385534	1	1	33251	144
33170	1	1	1271	5
101645	1	1	5279	28
149061	1	1	27101	84
165446	1	0	16373	79
237213	1	1	19716	127
173326	1	0	17753	78
133131	1	1	9028	60
258873	1	1	18653	131
180083	1	0	8828	84
324799	1	0	29498	133
230964	1	1	27563	150
236785	1	0	18293	91
135473	1	1	22530	132
202925	1	0	15977	136
215147	1	1	35082	124
344297	1	1	16116	118
153935	1	1	15849	70
132943	1	0	16026	107
174724	1	1	26569	119
174415	1	0	24785	89
225548	1	1	17569	112
223632	1	1	23825	108
124817	1	0	7869	52
221698	1	1	14975	112
210767	1	0	37791	116
170266	1	1	9605	123
260561	1	1	27295	125
84853	1	0	2746	27
294424	1	0	34461	162
101011	1	0	8098	32
215641	1	0	4787	64
325107	1	1	24919	92
7176	1	0	603	0
167542	1	0	16329	83
106408	1	1	12558	41
96560	1	0	7784	47
265769	1	0	28522	120
269651	1	1	22265	105
149112	1	1	14459	79
175824	1	1	14526	65
152871	1	1	22240	70
111665	1	1	11802	55
116408	1	0	7623	39
362301	1	1	11912	67
78800	1	0	7935	21
183167	1	0	18220	127
277965	1	1	19199	152
150629	1	0	19918	113
168809	1	1	21884	99
24188	1	1	2694	7
329267	1	1	15808	141
65029	1	0	3597	21
101097	1	1	5296	35
218946	1	0	25239	109
244052	1	0	29801	133
341570	1	1	18450	123
103597	1	1	7132	26
233328	1	1	34861	230
256462	1	0	35940	166
206161	1	1	16688	68
311473	1	0	24683	147
235800	1	1	46230	179
177939	1	0	10387	61
207176	1	0	21436	101
196553	1	1	30546	108
174184	1	1	19746	90
143246	1	0	15977	114
187559	1	0	22583	103
187681	1	1	17274	142
119016	1	1	16469	79
182192	1	1	14251	88
73566	1	0	3007	25
194979	1	0	16851	83
167488	1	0	21113	113
143756	1	1	17401	118
275541	1	0	23958	110
243199	1	1	23567	129
182999	1	1	13065	51
135649	1	0	15358	93
152299	1	1	14587	76
120221	1	1	12770	49
346485	1	1	24021	118
145790	1	1	9648	38
193339	1	1	20537	141
80953	1	1	7905	58
122774	1	1	4527	27
130585	1	1	30495	91
112611	1	1	7117	48
286468	1	1	17719	63
241066	1	1	27056	56
148446	1	0	33473	144
204713	1	0	9758	73
182079	1	1	21115	168
140344	1	0	7236	64
220516	1	1	13790	97
243060	1	0	32902	117
162765	1	1	25131	100
182613	1	0	30910	149
232138	1	1	35947	187
265318	1	0	29848	127
85574	1	0	6943	37
310839	1	1	42705	245
225060	1	1	31808	87
232317	1	1	26675	177
144966	1	1	8435	49
43287	1	1	7409	49
155754	1	0	14993	73
164709	1	1	36867	177
201940	1	1	33835	94
235454	1	1	24164	117
220801	1	1	12607	60
99466	1	0	22609	55
92661	1	1	5892	39
133328	1	1	17014	64
61361	1	1	5394	26
125930	1	1	9178	64
100750	1	1	6440	58
224549	1	0	21916	95
82316	1	1	4011	25
102010	1	1	5818	26
101523	1	1	18647	76
243511	1	0	20556	129
22938	1	0	238	11
41566	1	1	70	2
152474	1	0	22392	101
61857	1	0	3913	28
99923	1	1	12237	36
132487	1	0	8388	89
317394	1	0	22120	193
21054	1	1	338	4
209641	1	1	11727	84
22648	1	0	3704	23
31414	1	1	3988	39
46698	1	0	3030	14
131698	1	1	13520	78
91735	1	0	1421	14
244749	1	1	20923	101
184510	1	1	20237	82
79863	1	0	3219	24
128423	1	0	3769	36
97839	1	0	12252	75
38214	1	1	1888	16
151101	1	1	14497	55
272458	1	0	28864	131
172494	1	1	21721	131
108043	1	1	4821	39
328107	1	1	33644	144
250579	1	1	15923	139
351067	1	1	42935	211
158015	1	1	18864	78
98866	1	1	4977	50
85439	0	0	7785	39
229242	0	0	17939	90
351619	0	0	23436	166
84207	0	1	325	12
120445	0	0	13539	57
324598	0	0	34538	133
131069	0	1	12198	69
204271	0	1	26924	119
165543	0	0	12716	119
141722	0	0	8172	65
116048	0	1	10855	61
250047	0	0	11932	49
299775	0	1	14300	101
195838	0	1	25515	196
173260	0	0	2805	15
254488	0	1	29402	136
104389	0	0	16440	89
136084	0	1	11221	40
199476	0	1	28732	123
92499	0	1	5250	21
224330	0	0	28608	163
135781	0	0	8092	29
74408	0	0	4473	35
81240	0	1	1572	13
14688	0	1	2065	5
181633	0	0	14817	96
271856	0	1	16714	151
7199	0	0	556	6
46660	0	0	2089	13
17547	0	1	2658	3
133368	0	1	10695	56
95227	0	1	1669	23
152601	0	1	16267	57
98146	0	1	7768	14
79619	0	0	7252	43
59194	0	1	6387	20
139942	0	1	18715	72
118612	0	0	7936	87
72880	0	0	8643	21
65475	0	0	7294	56
99643	0	0	4570	59
71965	0	0	7185	82
77272	0	1	10058	43
49289	0	1	2342	25
135131	0	1	8509	38
108446	0	0	13275	25
89746	0	0	6816	38
44296	0	0	1930	12
77648	0	1	8086	29
181528	0	0	10737	47
134019	0	0	8033	45
124064	0	0	7058	40
92630	0	1	6782	30
121848	0	0	5401	41
52915	0	1	6521	25
81872	0	1	10856	23
58981	0	0	2154	14
53515	0	1	6117	16
60812	0	0	5238	26
56375	0	0	4820	21
65490	0	1	5615	27
80949	0	0	4272	9
76302	0	1	8702	33
104011	0	0	15340	42
98104	0	0	8030	68
67989	0	0	9526	32
30989	0	0	1278	6
135458	0	1	4236	67
73504	0	0	3023	33
63123	0	0	7196	77
61254	0	1	3394	46
74914	0	1	6371	30
31774	0	0	1574	0
81437	0	0	9620	36
87186	0	0	6978	46
50090	0	1	4911	18
65745	0	0	8645	48
56653	0	0	8987	29
158399	0	0	5544	28
46455	0	0	3083	34
73624	0	0	6909	33
38395	0	0	3189	34
91899	0	0	6745	33
139526	0	1	16724	80
52164	0	1	4850	32
51567	0	1	7025	30
70551	0	0	6047	41
84856	0	0	7377	41
102538	0	1	9078	51
86678	0	1	4605	18
85709	0	0	3238	34
34662	0	0	8100	31
150580	0	0	9653	39
99611	0	1	8914	54
19349	0	1	786	14
99373	0	1	6700	24
86230	0	1	5788	24
30837	0	0	593	8
31706	0	0	4506	26
89806	0	0	6382	19
62088	0	0	5621	11
40151	0	1	3997	14
27634	0	0	520	1
76990	0	0	8891	39
37460	0	1	999	5
54157	0	0	7067	37
49862	0	0	4639	32
84337	0	1	5654	38
64175	0	1	6928	47
59382	0	0	1514	47
119308	0	1	9238	37
76702	0	0	8204	51
103425	0	0	5926	45
70344	0	1	5785	21
43410	0	0	4	1
104838	0	1	5930	42
62215	0	0	3710	26
69304	0	0	705	21
53117	0	0	443	4
19764	0	0	2416	10
86680	0	1	7747	43
84105	0	0	5432	34
77945	0	0	4913	31
89113	0	1	2650	19
91005	0	0	2370	34
40248	0	1	775	6
64187	0	0	5576	11
50857	0	0	1352	24
56613	0	1	3080	16
62792	0	1	10205	72

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	8 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 & 8 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197392&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]8 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=197392&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197392&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	8 seconds
R Server	'George Udny Yule' @ yule.wessa.net

Goodness of Fit
Correlation	0.8473
R-squared	0.7178
RMSE	43689.5286

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.8473 \tabularnewline
R-squared & 0.7178 \tabularnewline
RMSE & 43689.5286 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197392&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.8473[/C][/ROW]
[ROW][C]R-squared[/C][C]0.7178[/C][/ROW]
[ROW][C]RMSE[/C][C]43689.5286[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197392&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197392&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	0.8473
R-squared	0.7178
RMSE	43689.5286

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	210907	244808.947368421	-33901.947368421
2	120982	185081.75	-64099.75
3	176508	185081.75	-8573.75
4	179321	244808.947368421	-65487.947368421
5	123185	131839.823529412	-8654.82352941178
6	52746	86734.3896103896	-33988.3896103896
7	385534	244808.947368421	140725.052631579
8	33170	33903.9523809524	-733.952380952382
9	101645	86734.3896103896	14910.6103896104
10	149061	185081.75	-36020.75
11	165446	185081.75	-19635.75
12	237213	244808.947368421	-7595.94736842104
13	173326	185081.75	-11755.75
14	133131	131839.823529412	1291.17647058822
15	258873	244808.947368421	14064.052631579
16	180083	131839.823529412	48243.1764705882
17	324799	244808.947368421	79990.052631579
18	230964	244808.947368421	-13844.947368421
19	236785	185081.75	51703.25
20	135473	244808.947368421	-109335.947368421
21	202925	244808.947368421	-41883.947368421
22	215147	244808.947368421	-29661.947368421
23	344297	244808.947368421	99488.052631579
24	153935	185081.75	-31146.75
25	132943	185081.75	-52138.75
26	174724	244808.947368421	-70084.947368421
27	174415	185081.75	-10666.75
28	225548	185081.75	40466.25
29	223632	185081.75	38550.25
30	124817	86734.3896103896	38082.6103896104
31	221698	185081.75	36616.25
32	210767	244808.947368421	-34041.947368421
33	170266	244808.947368421	-74542.947368421
34	260561	244808.947368421	15752.052631579
35	84853	66366.5555555556	18486.4444444444
36	294424	244808.947368421	49615.052631579
37	101011	86734.3896103896	14276.6103896104
38	215641	131839.823529412	83801.1764705882
39	325107	185081.75	140025.25
40	7176	33903.9523809524	-26727.9523809524
41	167542	185081.75	-17539.75
42	106408	137744.65	-31336.65
43	96560	86734.3896103896	9825.61038961039
44	265769	244808.947368421	20960.052631579
45	269651	185081.75	84569.25
46	149112	185081.75	-35969.75
47	175824	185081.75	-9257.75
48	152871	185081.75	-32210.75
49	111665	137744.65	-26079.65
50	116408	86734.3896103896	29673.6103896104
51	362301	185081.75	177219.25
52	78800	86734.3896103896	-7934.38961038961
53	183167	244808.947368421	-61641.947368421
54	277965	244808.947368421	33156.052631579
55	150629	185081.75	-34452.75
56	168809	185081.75	-16272.75
57	24188	33903.9523809524	-9715.95238095238
58	329267	244808.947368421	84458.052631579
59	65029	66366.5555555556	-1337.55555555556
60	101097	86734.3896103896	14362.6103896104
61	218946	185081.75	33864.25
62	244052	244808.947368421	-756.947368421039
63	341570	244808.947368421	96761.052631579
64	103597	86734.3896103896	16862.6103896104
65	233328	244808.947368421	-11480.947368421
66	256462	244808.947368421	11653.052631579
67	206161	185081.75	21079.25
68	311473	244808.947368421	66664.052631579
69	235800	244808.947368421	-9008.94736842104
70	177939	131839.823529412	46099.1764705882
71	207176	185081.75	22094.25
72	196553	185081.75	11471.25
73	174184	185081.75	-10897.75
74	143246	185081.75	-41835.75
75	187559	185081.75	2477.25
76	187681	244808.947368421	-57127.947368421
77	119016	185081.75	-66065.75
78	182192	185081.75	-2889.75
79	73566	66366.5555555556	7199.44444444444
80	194979	185081.75	9897.25
81	167488	185081.75	-17593.75
82	143756	244808.947368421	-101052.947368421
83	275541	185081.75	90459.25
84	243199	244808.947368421	-1609.94736842104
85	182999	137744.65	45254.35
86	135649	185081.75	-49432.75
87	152299	185081.75	-32782.75
88	120221	137744.65	-17523.65
89	346485	244808.947368421	101676.052631579
90	145790	137744.65	8045.35000000001
91	193339	244808.947368421	-51469.947368421
92	80953	86734.3896103896	-5781.38961038961
93	122774	86734.3896103896	36039.6103896104
94	130585	185081.75	-54496.75
95	112611	86734.3896103896	25876.6103896104
96	286468	185081.75	101386.25
97	241066	137744.65	103321.35
98	148446	244808.947368421	-96362.947368421
99	204713	131839.823529412	72873.1764705882
100	182079	244808.947368421	-62729.947368421
101	140344	131839.823529412	8504.17647058822
102	220516	185081.75	35434.25
103	243060	244808.947368421	-1748.94736842104
104	162765	185081.75	-22316.75
105	182613	244808.947368421	-62195.947368421
106	232138	244808.947368421	-12670.947368421
107	265318	244808.947368421	20509.052631579
108	85574	86734.3896103896	-1160.38961038961
109	310839	244808.947368421	66030.052631579
110	225060	185081.75	39978.25
111	232317	244808.947368421	-12491.947368421
112	144966	86734.3896103896	58231.6103896104
113	43287	86734.3896103896	-43447.3896103896
114	155754	185081.75	-29327.75
115	164709	244808.947368421	-80099.947368421
116	201940	185081.75	16858.25
117	235454	244808.947368421	-9354.94736842104
118	220801	185081.75	35719.25
119	99466	137744.65	-38278.65
120	92661	86734.3896103896	5926.61038961039
121	133328	185081.75	-51753.75
122	61361	86734.3896103896	-25373.3896103896
123	125930	131839.823529412	-5909.82352941178
124	100750	86734.3896103896	14015.6103896104
125	224549	185081.75	39467.25
126	82316	66366.5555555556	15949.4444444444
127	102010	86734.3896103896	15275.6103896104
128	101523	185081.75	-83558.75
129	243511	244808.947368421	-1297.94736842104
130	22938	33903.9523809524	-10965.9523809524
131	41566	33903.9523809524	7662.04761904762
132	152474	185081.75	-32607.75
133	61857	66366.5555555556	-4509.55555555556
134	99923	137744.65	-37821.65
135	132487	131839.823529412	647.176470588223
136	317394	244808.947368421	72585.052631579
137	21054	33903.9523809524	-12849.9523809524
138	209641	185081.75	24559.25
139	22648	66366.5555555556	-43718.5555555556
140	31414	66366.5555555556	-34952.5555555556
141	46698	66366.5555555556	-19668.5555555556
142	131698	185081.75	-53383.75
143	91735	66366.5555555556	25368.4444444444
144	244749	185081.75	59667.25
145	184510	185081.75	-571.75
146	79863	66366.5555555556	13496.4444444444
147	128423	66366.5555555556	62056.4444444444
148	97839	185081.75	-87242.75
149	38214	66366.5555555556	-28152.5555555556
150	151101	137744.65	13356.35
151	272458	244808.947368421	27649.052631579
152	172494	244808.947368421	-72314.947368421
153	108043	86734.3896103896	21308.6103896104
154	328107	244808.947368421	83298.052631579
155	250579	244808.947368421	5770.05263157896
156	351067	244808.947368421	106258.052631579
157	158015	185081.75	-27066.75
158	98866	86734.3896103896	12131.6103896104
159	85439	86734.3896103896	-1295.38961038961
160	229242	185081.75	44160.25
161	351619	244808.947368421	106810.052631579
162	84207	66366.5555555556	17840.4444444444
163	120445	137744.65	-17299.65
164	324598	244808.947368421	79789.052631579
165	131069	185081.75	-54012.75
166	204271	244808.947368421	-40537.947368421
167	165543	244808.947368421	-79265.947368421
168	141722	131839.823529412	9882.17647058822
169	116048	131839.823529412	-15791.8235294118
170	250047	137744.65	112302.35
171	299775	185081.75	114693.25
172	195838	244808.947368421	-48970.947368421
173	173260	66366.5555555556	106893.444444444
174	254488	244808.947368421	9679.05263157896
175	104389	185081.75	-80692.75
176	136084	137744.65	-1660.64999999999
177	199476	244808.947368421	-45332.947368421
178	92499	86734.3896103896	5764.61038961039
179	224330	244808.947368421	-20478.947368421
180	135781	86734.3896103896	49046.6103896104
181	74408	66366.5555555556	8041.44444444444
182	81240	66366.5555555556	14873.4444444444
183	14688	33903.9523809524	-19215.9523809524
184	181633	185081.75	-3448.75
185	271856	244808.947368421	27047.052631579
186	7199	33903.9523809524	-26704.9523809524
187	46660	66366.5555555556	-19706.5555555556
188	17547	33903.9523809524	-16356.9523809524
189	133368	137744.65	-4376.64999999999
190	95227	66366.5555555556	28860.4444444444
191	152601	137744.65	14856.35
192	98146	86734.3896103896	11411.6103896104
193	79619	86734.3896103896	-7115.38961038961
194	59194	86734.3896103896	-27540.3896103896
195	139942	185081.75	-45139.75
196	118612	131839.823529412	-13227.8235294118
197	72880	86734.3896103896	-13854.3896103896
198	65475	86734.3896103896	-21259.3896103896
199	99643	86734.3896103896	12908.6103896104
200	71965	131839.823529412	-59874.8235294118
201	77272	137744.65	-60472.65
202	49289	66366.5555555556	-17077.5555555556
203	135131	86734.3896103896	48396.6103896104
204	108446	137744.65	-29298.65
205	89746	86734.3896103896	3011.61038961039
206	44296	66366.5555555556	-22070.5555555556
207	77648	86734.3896103896	-9086.38961038961
208	181528	137744.65	43783.35
209	134019	86734.3896103896	47284.6103896104
210	124064	86734.3896103896	37329.6103896104
211	92630	86734.3896103896	5895.61038961039
212	121848	86734.3896103896	35113.6103896104
213	52915	86734.3896103896	-33819.3896103896
214	81872	137744.65	-55872.65
215	58981	66366.5555555556	-7385.55555555556
216	53515	86734.3896103896	-33219.3896103896
217	60812	86734.3896103896	-25922.3896103896
218	56375	86734.3896103896	-30359.3896103896
219	65490	86734.3896103896	-21244.3896103896
220	80949	33903.9523809524	47045.0476190476
221	76302	86734.3896103896	-10432.3896103896
222	104011	137744.65	-33733.65
223	98104	131839.823529412	-33735.8235294118
224	67989	86734.3896103896	-18745.3896103896
225	30989	33903.9523809524	-2914.95238095238
226	135458	131839.823529412	3618.17647058822
227	73504	66366.5555555556	7137.44444444444
228	63123	131839.823529412	-68716.8235294118
229	61254	66366.5555555556	-5112.55555555556
230	74914	86734.3896103896	-11820.3896103896
231	31774	33903.9523809524	-2129.95238095238
232	81437	86734.3896103896	-5297.38961038961
233	87186	86734.3896103896	451.610389610389
234	50090	86734.3896103896	-36644.3896103896
235	65745	86734.3896103896	-20989.3896103896
236	56653	86734.3896103896	-30081.3896103896
237	158399	86734.3896103896	71664.6103896104
238	46455	66366.5555555556	-19911.5555555556
239	73624	86734.3896103896	-13110.3896103896
240	38395	66366.5555555556	-27971.5555555556
241	91899	86734.3896103896	5164.61038961039
242	139526	185081.75	-45555.75
243	52164	86734.3896103896	-34570.3896103896
244	51567	86734.3896103896	-35167.3896103896
245	70551	86734.3896103896	-16183.3896103896
246	84856	86734.3896103896	-1878.38961038961
247	102538	86734.3896103896	15803.6103896104
248	86678	86734.3896103896	-56.3896103896113
249	85709	66366.5555555556	19342.4444444444
250	34662	86734.3896103896	-52072.3896103896
251	150580	137744.65	12835.35
252	99611	86734.3896103896	12876.6103896104
253	19349	66366.5555555556	-47017.5555555556
254	99373	86734.3896103896	12638.6103896104
255	86230	86734.3896103896	-504.389610389611
256	30837	33903.9523809524	-3066.95238095238
257	31706	66366.5555555556	-34660.5555555556
258	89806	86734.3896103896	3071.61038961039
259	62088	33903.9523809524	28184.0476190476
260	40151	66366.5555555556	-26215.5555555556
261	27634	33903.9523809524	-6269.95238095238
262	76990	86734.3896103896	-9744.38961038961
263	37460	33903.9523809524	3556.04761904762
264	54157	86734.3896103896	-32577.3896103896
265	49862	86734.3896103896	-36872.3896103896
266	84337	86734.3896103896	-2397.38961038961
267	64175	86734.3896103896	-22559.3896103896
268	59382	66366.5555555556	-6984.55555555556
269	119308	86734.3896103896	32573.6103896104
270	76702	86734.3896103896	-10032.3896103896
271	103425	86734.3896103896	16690.6103896104
272	70344	86734.3896103896	-16390.3896103896
273	43410	33903.9523809524	9506.04761904762
274	104838	86734.3896103896	18103.6103896104
275	62215	66366.5555555556	-4151.55555555556
276	69304	66366.5555555556	2937.44444444444
277	53117	33903.9523809524	19213.0476190476
278	19764	33903.9523809524	-14139.9523809524
279	86680	86734.3896103896	-54.3896103896113
280	84105	86734.3896103896	-2629.38961038961
281	77945	86734.3896103896	-8789.38961038961
282	89113	66366.5555555556	22746.4444444444
283	91005	66366.5555555556	24638.4444444444
284	40248	33903.9523809524	6344.04761904762
285	64187	33903.9523809524	30283.0476190476
286	50857	66366.5555555556	-15509.5555555556
287	56613	66366.5555555556	-9753.55555555556
288	62792	131839.823529412	-69047.8235294118

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 210907 & 244808.947368421 & -33901.947368421 \tabularnewline
2 & 120982 & 185081.75 & -64099.75 \tabularnewline
3 & 176508 & 185081.75 & -8573.75 \tabularnewline
4 & 179321 & 244808.947368421 & -65487.947368421 \tabularnewline
5 & 123185 & 131839.823529412 & -8654.82352941178 \tabularnewline
6 & 52746 & 86734.3896103896 & -33988.3896103896 \tabularnewline
7 & 385534 & 244808.947368421 & 140725.052631579 \tabularnewline
8 & 33170 & 33903.9523809524 & -733.952380952382 \tabularnewline
9 & 101645 & 86734.3896103896 & 14910.6103896104 \tabularnewline
10 & 149061 & 185081.75 & -36020.75 \tabularnewline
11 & 165446 & 185081.75 & -19635.75 \tabularnewline
12 & 237213 & 244808.947368421 & -7595.94736842104 \tabularnewline
13 & 173326 & 185081.75 & -11755.75 \tabularnewline
14 & 133131 & 131839.823529412 & 1291.17647058822 \tabularnewline
15 & 258873 & 244808.947368421 & 14064.052631579 \tabularnewline
16 & 180083 & 131839.823529412 & 48243.1764705882 \tabularnewline
17 & 324799 & 244808.947368421 & 79990.052631579 \tabularnewline
18 & 230964 & 244808.947368421 & -13844.947368421 \tabularnewline
19 & 236785 & 185081.75 & 51703.25 \tabularnewline
20 & 135473 & 244808.947368421 & -109335.947368421 \tabularnewline
21 & 202925 & 244808.947368421 & -41883.947368421 \tabularnewline
22 & 215147 & 244808.947368421 & -29661.947368421 \tabularnewline
23 & 344297 & 244808.947368421 & 99488.052631579 \tabularnewline
24 & 153935 & 185081.75 & -31146.75 \tabularnewline
25 & 132943 & 185081.75 & -52138.75 \tabularnewline
26 & 174724 & 244808.947368421 & -70084.947368421 \tabularnewline
27 & 174415 & 185081.75 & -10666.75 \tabularnewline
28 & 225548 & 185081.75 & 40466.25 \tabularnewline
29 & 223632 & 185081.75 & 38550.25 \tabularnewline
30 & 124817 & 86734.3896103896 & 38082.6103896104 \tabularnewline
31 & 221698 & 185081.75 & 36616.25 \tabularnewline
32 & 210767 & 244808.947368421 & -34041.947368421 \tabularnewline
33 & 170266 & 244808.947368421 & -74542.947368421 \tabularnewline
34 & 260561 & 244808.947368421 & 15752.052631579 \tabularnewline
35 & 84853 & 66366.5555555556 & 18486.4444444444 \tabularnewline
36 & 294424 & 244808.947368421 & 49615.052631579 \tabularnewline
37 & 101011 & 86734.3896103896 & 14276.6103896104 \tabularnewline
38 & 215641 & 131839.823529412 & 83801.1764705882 \tabularnewline
39 & 325107 & 185081.75 & 140025.25 \tabularnewline
40 & 7176 & 33903.9523809524 & -26727.9523809524 \tabularnewline
41 & 167542 & 185081.75 & -17539.75 \tabularnewline
42 & 106408 & 137744.65 & -31336.65 \tabularnewline
43 & 96560 & 86734.3896103896 & 9825.61038961039 \tabularnewline
44 & 265769 & 244808.947368421 & 20960.052631579 \tabularnewline
45 & 269651 & 185081.75 & 84569.25 \tabularnewline
46 & 149112 & 185081.75 & -35969.75 \tabularnewline
47 & 175824 & 185081.75 & -9257.75 \tabularnewline
48 & 152871 & 185081.75 & -32210.75 \tabularnewline
49 & 111665 & 137744.65 & -26079.65 \tabularnewline
50 & 116408 & 86734.3896103896 & 29673.6103896104 \tabularnewline
51 & 362301 & 185081.75 & 177219.25 \tabularnewline
52 & 78800 & 86734.3896103896 & -7934.38961038961 \tabularnewline
53 & 183167 & 244808.947368421 & -61641.947368421 \tabularnewline
54 & 277965 & 244808.947368421 & 33156.052631579 \tabularnewline
55 & 150629 & 185081.75 & -34452.75 \tabularnewline
56 & 168809 & 185081.75 & -16272.75 \tabularnewline
57 & 24188 & 33903.9523809524 & -9715.95238095238 \tabularnewline
58 & 329267 & 244808.947368421 & 84458.052631579 \tabularnewline
59 & 65029 & 66366.5555555556 & -1337.55555555556 \tabularnewline
60 & 101097 & 86734.3896103896 & 14362.6103896104 \tabularnewline
61 & 218946 & 185081.75 & 33864.25 \tabularnewline
62 & 244052 & 244808.947368421 & -756.947368421039 \tabularnewline
63 & 341570 & 244808.947368421 & 96761.052631579 \tabularnewline
64 & 103597 & 86734.3896103896 & 16862.6103896104 \tabularnewline
65 & 233328 & 244808.947368421 & -11480.947368421 \tabularnewline
66 & 256462 & 244808.947368421 & 11653.052631579 \tabularnewline
67 & 206161 & 185081.75 & 21079.25 \tabularnewline
68 & 311473 & 244808.947368421 & 66664.052631579 \tabularnewline
69 & 235800 & 244808.947368421 & -9008.94736842104 \tabularnewline
70 & 177939 & 131839.823529412 & 46099.1764705882 \tabularnewline
71 & 207176 & 185081.75 & 22094.25 \tabularnewline
72 & 196553 & 185081.75 & 11471.25 \tabularnewline
73 & 174184 & 185081.75 & -10897.75 \tabularnewline
74 & 143246 & 185081.75 & -41835.75 \tabularnewline
75 & 187559 & 185081.75 & 2477.25 \tabularnewline
76 & 187681 & 244808.947368421 & -57127.947368421 \tabularnewline
77 & 119016 & 185081.75 & -66065.75 \tabularnewline
78 & 182192 & 185081.75 & -2889.75 \tabularnewline
79 & 73566 & 66366.5555555556 & 7199.44444444444 \tabularnewline
80 & 194979 & 185081.75 & 9897.25 \tabularnewline
81 & 167488 & 185081.75 & -17593.75 \tabularnewline
82 & 143756 & 244808.947368421 & -101052.947368421 \tabularnewline
83 & 275541 & 185081.75 & 90459.25 \tabularnewline
84 & 243199 & 244808.947368421 & -1609.94736842104 \tabularnewline
85 & 182999 & 137744.65 & 45254.35 \tabularnewline
86 & 135649 & 185081.75 & -49432.75 \tabularnewline
87 & 152299 & 185081.75 & -32782.75 \tabularnewline
88 & 120221 & 137744.65 & -17523.65 \tabularnewline
89 & 346485 & 244808.947368421 & 101676.052631579 \tabularnewline
90 & 145790 & 137744.65 & 8045.35000000001 \tabularnewline
91 & 193339 & 244808.947368421 & -51469.947368421 \tabularnewline
92 & 80953 & 86734.3896103896 & -5781.38961038961 \tabularnewline
93 & 122774 & 86734.3896103896 & 36039.6103896104 \tabularnewline
94 & 130585 & 185081.75 & -54496.75 \tabularnewline
95 & 112611 & 86734.3896103896 & 25876.6103896104 \tabularnewline
96 & 286468 & 185081.75 & 101386.25 \tabularnewline
97 & 241066 & 137744.65 & 103321.35 \tabularnewline
98 & 148446 & 244808.947368421 & -96362.947368421 \tabularnewline
99 & 204713 & 131839.823529412 & 72873.1764705882 \tabularnewline
100 & 182079 & 244808.947368421 & -62729.947368421 \tabularnewline
101 & 140344 & 131839.823529412 & 8504.17647058822 \tabularnewline
102 & 220516 & 185081.75 & 35434.25 \tabularnewline
103 & 243060 & 244808.947368421 & -1748.94736842104 \tabularnewline
104 & 162765 & 185081.75 & -22316.75 \tabularnewline
105 & 182613 & 244808.947368421 & -62195.947368421 \tabularnewline
106 & 232138 & 244808.947368421 & -12670.947368421 \tabularnewline
107 & 265318 & 244808.947368421 & 20509.052631579 \tabularnewline
108 & 85574 & 86734.3896103896 & -1160.38961038961 \tabularnewline
109 & 310839 & 244808.947368421 & 66030.052631579 \tabularnewline
110 & 225060 & 185081.75 & 39978.25 \tabularnewline
111 & 232317 & 244808.947368421 & -12491.947368421 \tabularnewline
112 & 144966 & 86734.3896103896 & 58231.6103896104 \tabularnewline
113 & 43287 & 86734.3896103896 & -43447.3896103896 \tabularnewline
114 & 155754 & 185081.75 & -29327.75 \tabularnewline
115 & 164709 & 244808.947368421 & -80099.947368421 \tabularnewline
116 & 201940 & 185081.75 & 16858.25 \tabularnewline
117 & 235454 & 244808.947368421 & -9354.94736842104 \tabularnewline
118 & 220801 & 185081.75 & 35719.25 \tabularnewline
119 & 99466 & 137744.65 & -38278.65 \tabularnewline
120 & 92661 & 86734.3896103896 & 5926.61038961039 \tabularnewline
121 & 133328 & 185081.75 & -51753.75 \tabularnewline
122 & 61361 & 86734.3896103896 & -25373.3896103896 \tabularnewline
123 & 125930 & 131839.823529412 & -5909.82352941178 \tabularnewline
124 & 100750 & 86734.3896103896 & 14015.6103896104 \tabularnewline
125 & 224549 & 185081.75 & 39467.25 \tabularnewline
126 & 82316 & 66366.5555555556 & 15949.4444444444 \tabularnewline
127 & 102010 & 86734.3896103896 & 15275.6103896104 \tabularnewline
128 & 101523 & 185081.75 & -83558.75 \tabularnewline
129 & 243511 & 244808.947368421 & -1297.94736842104 \tabularnewline
130 & 22938 & 33903.9523809524 & -10965.9523809524 \tabularnewline
131 & 41566 & 33903.9523809524 & 7662.04761904762 \tabularnewline
132 & 152474 & 185081.75 & -32607.75 \tabularnewline
133 & 61857 & 66366.5555555556 & -4509.55555555556 \tabularnewline
134 & 99923 & 137744.65 & -37821.65 \tabularnewline
135 & 132487 & 131839.823529412 & 647.176470588223 \tabularnewline
136 & 317394 & 244808.947368421 & 72585.052631579 \tabularnewline
137 & 21054 & 33903.9523809524 & -12849.9523809524 \tabularnewline
138 & 209641 & 185081.75 & 24559.25 \tabularnewline
139 & 22648 & 66366.5555555556 & -43718.5555555556 \tabularnewline
140 & 31414 & 66366.5555555556 & -34952.5555555556 \tabularnewline
141 & 46698 & 66366.5555555556 & -19668.5555555556 \tabularnewline
142 & 131698 & 185081.75 & -53383.75 \tabularnewline
143 & 91735 & 66366.5555555556 & 25368.4444444444 \tabularnewline
144 & 244749 & 185081.75 & 59667.25 \tabularnewline
145 & 184510 & 185081.75 & -571.75 \tabularnewline
146 & 79863 & 66366.5555555556 & 13496.4444444444 \tabularnewline
147 & 128423 & 66366.5555555556 & 62056.4444444444 \tabularnewline
148 & 97839 & 185081.75 & -87242.75 \tabularnewline
149 & 38214 & 66366.5555555556 & -28152.5555555556 \tabularnewline
150 & 151101 & 137744.65 & 13356.35 \tabularnewline
151 & 272458 & 244808.947368421 & 27649.052631579 \tabularnewline
152 & 172494 & 244808.947368421 & -72314.947368421 \tabularnewline
153 & 108043 & 86734.3896103896 & 21308.6103896104 \tabularnewline
154 & 328107 & 244808.947368421 & 83298.052631579 \tabularnewline
155 & 250579 & 244808.947368421 & 5770.05263157896 \tabularnewline
156 & 351067 & 244808.947368421 & 106258.052631579 \tabularnewline
157 & 158015 & 185081.75 & -27066.75 \tabularnewline
158 & 98866 & 86734.3896103896 & 12131.6103896104 \tabularnewline
159 & 85439 & 86734.3896103896 & -1295.38961038961 \tabularnewline
160 & 229242 & 185081.75 & 44160.25 \tabularnewline
161 & 351619 & 244808.947368421 & 106810.052631579 \tabularnewline
162 & 84207 & 66366.5555555556 & 17840.4444444444 \tabularnewline
163 & 120445 & 137744.65 & -17299.65 \tabularnewline
164 & 324598 & 244808.947368421 & 79789.052631579 \tabularnewline
165 & 131069 & 185081.75 & -54012.75 \tabularnewline
166 & 204271 & 244808.947368421 & -40537.947368421 \tabularnewline
167 & 165543 & 244808.947368421 & -79265.947368421 \tabularnewline
168 & 141722 & 131839.823529412 & 9882.17647058822 \tabularnewline
169 & 116048 & 131839.823529412 & -15791.8235294118 \tabularnewline
170 & 250047 & 137744.65 & 112302.35 \tabularnewline
171 & 299775 & 185081.75 & 114693.25 \tabularnewline
172 & 195838 & 244808.947368421 & -48970.947368421 \tabularnewline
173 & 173260 & 66366.5555555556 & 106893.444444444 \tabularnewline
174 & 254488 & 244808.947368421 & 9679.05263157896 \tabularnewline
175 & 104389 & 185081.75 & -80692.75 \tabularnewline
176 & 136084 & 137744.65 & -1660.64999999999 \tabularnewline
177 & 199476 & 244808.947368421 & -45332.947368421 \tabularnewline
178 & 92499 & 86734.3896103896 & 5764.61038961039 \tabularnewline
179 & 224330 & 244808.947368421 & -20478.947368421 \tabularnewline
180 & 135781 & 86734.3896103896 & 49046.6103896104 \tabularnewline
181 & 74408 & 66366.5555555556 & 8041.44444444444 \tabularnewline
182 & 81240 & 66366.5555555556 & 14873.4444444444 \tabularnewline
183 & 14688 & 33903.9523809524 & -19215.9523809524 \tabularnewline
184 & 181633 & 185081.75 & -3448.75 \tabularnewline
185 & 271856 & 244808.947368421 & 27047.052631579 \tabularnewline
186 & 7199 & 33903.9523809524 & -26704.9523809524 \tabularnewline
187 & 46660 & 66366.5555555556 & -19706.5555555556 \tabularnewline
188 & 17547 & 33903.9523809524 & -16356.9523809524 \tabularnewline
189 & 133368 & 137744.65 & -4376.64999999999 \tabularnewline
190 & 95227 & 66366.5555555556 & 28860.4444444444 \tabularnewline
191 & 152601 & 137744.65 & 14856.35 \tabularnewline
192 & 98146 & 86734.3896103896 & 11411.6103896104 \tabularnewline
193 & 79619 & 86734.3896103896 & -7115.38961038961 \tabularnewline
194 & 59194 & 86734.3896103896 & -27540.3896103896 \tabularnewline
195 & 139942 & 185081.75 & -45139.75 \tabularnewline
196 & 118612 & 131839.823529412 & -13227.8235294118 \tabularnewline
197 & 72880 & 86734.3896103896 & -13854.3896103896 \tabularnewline
198 & 65475 & 86734.3896103896 & -21259.3896103896 \tabularnewline
199 & 99643 & 86734.3896103896 & 12908.6103896104 \tabularnewline
200 & 71965 & 131839.823529412 & -59874.8235294118 \tabularnewline
201 & 77272 & 137744.65 & -60472.65 \tabularnewline
202 & 49289 & 66366.5555555556 & -17077.5555555556 \tabularnewline
203 & 135131 & 86734.3896103896 & 48396.6103896104 \tabularnewline
204 & 108446 & 137744.65 & -29298.65 \tabularnewline
205 & 89746 & 86734.3896103896 & 3011.61038961039 \tabularnewline
206 & 44296 & 66366.5555555556 & -22070.5555555556 \tabularnewline
207 & 77648 & 86734.3896103896 & -9086.38961038961 \tabularnewline
208 & 181528 & 137744.65 & 43783.35 \tabularnewline
209 & 134019 & 86734.3896103896 & 47284.6103896104 \tabularnewline
210 & 124064 & 86734.3896103896 & 37329.6103896104 \tabularnewline
211 & 92630 & 86734.3896103896 & 5895.61038961039 \tabularnewline
212 & 121848 & 86734.3896103896 & 35113.6103896104 \tabularnewline
213 & 52915 & 86734.3896103896 & -33819.3896103896 \tabularnewline
214 & 81872 & 137744.65 & -55872.65 \tabularnewline
215 & 58981 & 66366.5555555556 & -7385.55555555556 \tabularnewline
216 & 53515 & 86734.3896103896 & -33219.3896103896 \tabularnewline
217 & 60812 & 86734.3896103896 & -25922.3896103896 \tabularnewline
218 & 56375 & 86734.3896103896 & -30359.3896103896 \tabularnewline
219 & 65490 & 86734.3896103896 & -21244.3896103896 \tabularnewline
220 & 80949 & 33903.9523809524 & 47045.0476190476 \tabularnewline
221 & 76302 & 86734.3896103896 & -10432.3896103896 \tabularnewline
222 & 104011 & 137744.65 & -33733.65 \tabularnewline
223 & 98104 & 131839.823529412 & -33735.8235294118 \tabularnewline
224 & 67989 & 86734.3896103896 & -18745.3896103896 \tabularnewline
225 & 30989 & 33903.9523809524 & -2914.95238095238 \tabularnewline
226 & 135458 & 131839.823529412 & 3618.17647058822 \tabularnewline
227 & 73504 & 66366.5555555556 & 7137.44444444444 \tabularnewline
228 & 63123 & 131839.823529412 & -68716.8235294118 \tabularnewline
229 & 61254 & 66366.5555555556 & -5112.55555555556 \tabularnewline
230 & 74914 & 86734.3896103896 & -11820.3896103896 \tabularnewline
231 & 31774 & 33903.9523809524 & -2129.95238095238 \tabularnewline
232 & 81437 & 86734.3896103896 & -5297.38961038961 \tabularnewline
233 & 87186 & 86734.3896103896 & 451.610389610389 \tabularnewline
234 & 50090 & 86734.3896103896 & -36644.3896103896 \tabularnewline
235 & 65745 & 86734.3896103896 & -20989.3896103896 \tabularnewline
236 & 56653 & 86734.3896103896 & -30081.3896103896 \tabularnewline
237 & 158399 & 86734.3896103896 & 71664.6103896104 \tabularnewline
238 & 46455 & 66366.5555555556 & -19911.5555555556 \tabularnewline
239 & 73624 & 86734.3896103896 & -13110.3896103896 \tabularnewline
240 & 38395 & 66366.5555555556 & -27971.5555555556 \tabularnewline
241 & 91899 & 86734.3896103896 & 5164.61038961039 \tabularnewline
242 & 139526 & 185081.75 & -45555.75 \tabularnewline
243 & 52164 & 86734.3896103896 & -34570.3896103896 \tabularnewline
244 & 51567 & 86734.3896103896 & -35167.3896103896 \tabularnewline
245 & 70551 & 86734.3896103896 & -16183.3896103896 \tabularnewline
246 & 84856 & 86734.3896103896 & -1878.38961038961 \tabularnewline
247 & 102538 & 86734.3896103896 & 15803.6103896104 \tabularnewline
248 & 86678 & 86734.3896103896 & -56.3896103896113 \tabularnewline
249 & 85709 & 66366.5555555556 & 19342.4444444444 \tabularnewline
250 & 34662 & 86734.3896103896 & -52072.3896103896 \tabularnewline
251 & 150580 & 137744.65 & 12835.35 \tabularnewline
252 & 99611 & 86734.3896103896 & 12876.6103896104 \tabularnewline
253 & 19349 & 66366.5555555556 & -47017.5555555556 \tabularnewline
254 & 99373 & 86734.3896103896 & 12638.6103896104 \tabularnewline
255 & 86230 & 86734.3896103896 & -504.389610389611 \tabularnewline
256 & 30837 & 33903.9523809524 & -3066.95238095238 \tabularnewline
257 & 31706 & 66366.5555555556 & -34660.5555555556 \tabularnewline
258 & 89806 & 86734.3896103896 & 3071.61038961039 \tabularnewline
259 & 62088 & 33903.9523809524 & 28184.0476190476 \tabularnewline
260 & 40151 & 66366.5555555556 & -26215.5555555556 \tabularnewline
261 & 27634 & 33903.9523809524 & -6269.95238095238 \tabularnewline
262 & 76990 & 86734.3896103896 & -9744.38961038961 \tabularnewline
263 & 37460 & 33903.9523809524 & 3556.04761904762 \tabularnewline
264 & 54157 & 86734.3896103896 & -32577.3896103896 \tabularnewline
265 & 49862 & 86734.3896103896 & -36872.3896103896 \tabularnewline
266 & 84337 & 86734.3896103896 & -2397.38961038961 \tabularnewline
267 & 64175 & 86734.3896103896 & -22559.3896103896 \tabularnewline
268 & 59382 & 66366.5555555556 & -6984.55555555556 \tabularnewline
269 & 119308 & 86734.3896103896 & 32573.6103896104 \tabularnewline
270 & 76702 & 86734.3896103896 & -10032.3896103896 \tabularnewline
271 & 103425 & 86734.3896103896 & 16690.6103896104 \tabularnewline
272 & 70344 & 86734.3896103896 & -16390.3896103896 \tabularnewline
273 & 43410 & 33903.9523809524 & 9506.04761904762 \tabularnewline
274 & 104838 & 86734.3896103896 & 18103.6103896104 \tabularnewline
275 & 62215 & 66366.5555555556 & -4151.55555555556 \tabularnewline
276 & 69304 & 66366.5555555556 & 2937.44444444444 \tabularnewline
277 & 53117 & 33903.9523809524 & 19213.0476190476 \tabularnewline
278 & 19764 & 33903.9523809524 & -14139.9523809524 \tabularnewline
279 & 86680 & 86734.3896103896 & -54.3896103896113 \tabularnewline
280 & 84105 & 86734.3896103896 & -2629.38961038961 \tabularnewline
281 & 77945 & 86734.3896103896 & -8789.38961038961 \tabularnewline
282 & 89113 & 66366.5555555556 & 22746.4444444444 \tabularnewline
283 & 91005 & 66366.5555555556 & 24638.4444444444 \tabularnewline
284 & 40248 & 33903.9523809524 & 6344.04761904762 \tabularnewline
285 & 64187 & 33903.9523809524 & 30283.0476190476 \tabularnewline
286 & 50857 & 66366.5555555556 & -15509.5555555556 \tabularnewline
287 & 56613 & 66366.5555555556 & -9753.55555555556 \tabularnewline
288 & 62792 & 131839.823529412 & -69047.8235294118 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197392&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]244808.947368421[/C][C]-33901.947368421[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]185081.75[/C][C]-64099.75[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]185081.75[/C][C]-8573.75[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]244808.947368421[/C][C]-65487.947368421[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]131839.823529412[/C][C]-8654.82352941178[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]86734.3896103896[/C][C]-33988.3896103896[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]244808.947368421[/C][C]140725.052631579[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]33903.9523809524[/C][C]-733.952380952382[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]86734.3896103896[/C][C]14910.6103896104[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]185081.75[/C][C]-36020.75[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]185081.75[/C][C]-19635.75[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]244808.947368421[/C][C]-7595.94736842104[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]185081.75[/C][C]-11755.75[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]131839.823529412[/C][C]1291.17647058822[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]244808.947368421[/C][C]14064.052631579[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]131839.823529412[/C][C]48243.1764705882[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]244808.947368421[/C][C]79990.052631579[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]244808.947368421[/C][C]-13844.947368421[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]185081.75[/C][C]51703.25[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]244808.947368421[/C][C]-109335.947368421[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]244808.947368421[/C][C]-41883.947368421[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]244808.947368421[/C][C]-29661.947368421[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]244808.947368421[/C][C]99488.052631579[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]185081.75[/C][C]-31146.75[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]185081.75[/C][C]-52138.75[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]244808.947368421[/C][C]-70084.947368421[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]185081.75[/C][C]-10666.75[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]185081.75[/C][C]40466.25[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]185081.75[/C][C]38550.25[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]86734.3896103896[/C][C]38082.6103896104[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]185081.75[/C][C]36616.25[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]244808.947368421[/C][C]-34041.947368421[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]244808.947368421[/C][C]-74542.947368421[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]244808.947368421[/C][C]15752.052631579[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]66366.5555555556[/C][C]18486.4444444444[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]244808.947368421[/C][C]49615.052631579[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]86734.3896103896[/C][C]14276.6103896104[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]131839.823529412[/C][C]83801.1764705882[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]185081.75[/C][C]140025.25[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]33903.9523809524[/C][C]-26727.9523809524[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]185081.75[/C][C]-17539.75[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]137744.65[/C][C]-31336.65[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]86734.3896103896[/C][C]9825.61038961039[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]244808.947368421[/C][C]20960.052631579[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]185081.75[/C][C]84569.25[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]185081.75[/C][C]-35969.75[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]185081.75[/C][C]-9257.75[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]185081.75[/C][C]-32210.75[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]137744.65[/C][C]-26079.65[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]86734.3896103896[/C][C]29673.6103896104[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]185081.75[/C][C]177219.25[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]86734.3896103896[/C][C]-7934.38961038961[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]244808.947368421[/C][C]-61641.947368421[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]244808.947368421[/C][C]33156.052631579[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]185081.75[/C][C]-34452.75[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]185081.75[/C][C]-16272.75[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]33903.9523809524[/C][C]-9715.95238095238[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]244808.947368421[/C][C]84458.052631579[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]66366.5555555556[/C][C]-1337.55555555556[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]86734.3896103896[/C][C]14362.6103896104[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]185081.75[/C][C]33864.25[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]244808.947368421[/C][C]-756.947368421039[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]244808.947368421[/C][C]96761.052631579[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]86734.3896103896[/C][C]16862.6103896104[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]244808.947368421[/C][C]-11480.947368421[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]244808.947368421[/C][C]11653.052631579[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]185081.75[/C][C]21079.25[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]244808.947368421[/C][C]66664.052631579[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]244808.947368421[/C][C]-9008.94736842104[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]131839.823529412[/C][C]46099.1764705882[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]185081.75[/C][C]22094.25[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]185081.75[/C][C]11471.25[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]185081.75[/C][C]-10897.75[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]185081.75[/C][C]-41835.75[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]185081.75[/C][C]2477.25[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]244808.947368421[/C][C]-57127.947368421[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]185081.75[/C][C]-66065.75[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]185081.75[/C][C]-2889.75[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]66366.5555555556[/C][C]7199.44444444444[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]185081.75[/C][C]9897.25[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]185081.75[/C][C]-17593.75[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]244808.947368421[/C][C]-101052.947368421[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]185081.75[/C][C]90459.25[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]244808.947368421[/C][C]-1609.94736842104[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]137744.65[/C][C]45254.35[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]185081.75[/C][C]-49432.75[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]185081.75[/C][C]-32782.75[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]137744.65[/C][C]-17523.65[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]244808.947368421[/C][C]101676.052631579[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]137744.65[/C][C]8045.35000000001[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]244808.947368421[/C][C]-51469.947368421[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]86734.3896103896[/C][C]-5781.38961038961[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]86734.3896103896[/C][C]36039.6103896104[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]185081.75[/C][C]-54496.75[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]86734.3896103896[/C][C]25876.6103896104[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]185081.75[/C][C]101386.25[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]137744.65[/C][C]103321.35[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]244808.947368421[/C][C]-96362.947368421[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]131839.823529412[/C][C]72873.1764705882[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]244808.947368421[/C][C]-62729.947368421[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]131839.823529412[/C][C]8504.17647058822[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]185081.75[/C][C]35434.25[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]244808.947368421[/C][C]-1748.94736842104[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]185081.75[/C][C]-22316.75[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]244808.947368421[/C][C]-62195.947368421[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]244808.947368421[/C][C]-12670.947368421[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]244808.947368421[/C][C]20509.052631579[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]86734.3896103896[/C][C]-1160.38961038961[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]244808.947368421[/C][C]66030.052631579[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]185081.75[/C][C]39978.25[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]244808.947368421[/C][C]-12491.947368421[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]86734.3896103896[/C][C]58231.6103896104[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]86734.3896103896[/C][C]-43447.3896103896[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]185081.75[/C][C]-29327.75[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]244808.947368421[/C][C]-80099.947368421[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]185081.75[/C][C]16858.25[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]244808.947368421[/C][C]-9354.94736842104[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]185081.75[/C][C]35719.25[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]137744.65[/C][C]-38278.65[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]86734.3896103896[/C][C]5926.61038961039[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]185081.75[/C][C]-51753.75[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]86734.3896103896[/C][C]-25373.3896103896[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]131839.823529412[/C][C]-5909.82352941178[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]86734.3896103896[/C][C]14015.6103896104[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]185081.75[/C][C]39467.25[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]66366.5555555556[/C][C]15949.4444444444[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]86734.3896103896[/C][C]15275.6103896104[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]185081.75[/C][C]-83558.75[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]244808.947368421[/C][C]-1297.94736842104[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]33903.9523809524[/C][C]-10965.9523809524[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]33903.9523809524[/C][C]7662.04761904762[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]185081.75[/C][C]-32607.75[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]66366.5555555556[/C][C]-4509.55555555556[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]137744.65[/C][C]-37821.65[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]131839.823529412[/C][C]647.176470588223[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]244808.947368421[/C][C]72585.052631579[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]33903.9523809524[/C][C]-12849.9523809524[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]185081.75[/C][C]24559.25[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]66366.5555555556[/C][C]-43718.5555555556[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]66366.5555555556[/C][C]-34952.5555555556[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]66366.5555555556[/C][C]-19668.5555555556[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]185081.75[/C][C]-53383.75[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]66366.5555555556[/C][C]25368.4444444444[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]185081.75[/C][C]59667.25[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]185081.75[/C][C]-571.75[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]66366.5555555556[/C][C]13496.4444444444[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]66366.5555555556[/C][C]62056.4444444444[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]185081.75[/C][C]-87242.75[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]66366.5555555556[/C][C]-28152.5555555556[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]137744.65[/C][C]13356.35[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]244808.947368421[/C][C]27649.052631579[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]244808.947368421[/C][C]-72314.947368421[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]86734.3896103896[/C][C]21308.6103896104[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]244808.947368421[/C][C]83298.052631579[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]244808.947368421[/C][C]5770.05263157896[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]244808.947368421[/C][C]106258.052631579[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]185081.75[/C][C]-27066.75[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]86734.3896103896[/C][C]12131.6103896104[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]86734.3896103896[/C][C]-1295.38961038961[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]185081.75[/C][C]44160.25[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]244808.947368421[/C][C]106810.052631579[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]66366.5555555556[/C][C]17840.4444444444[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]137744.65[/C][C]-17299.65[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]244808.947368421[/C][C]79789.052631579[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]185081.75[/C][C]-54012.75[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]244808.947368421[/C][C]-40537.947368421[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]244808.947368421[/C][C]-79265.947368421[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]131839.823529412[/C][C]9882.17647058822[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]131839.823529412[/C][C]-15791.8235294118[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]137744.65[/C][C]112302.35[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]185081.75[/C][C]114693.25[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]244808.947368421[/C][C]-48970.947368421[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]66366.5555555556[/C][C]106893.444444444[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]244808.947368421[/C][C]9679.05263157896[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]185081.75[/C][C]-80692.75[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]137744.65[/C][C]-1660.64999999999[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]244808.947368421[/C][C]-45332.947368421[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]86734.3896103896[/C][C]5764.61038961039[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]244808.947368421[/C][C]-20478.947368421[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]86734.3896103896[/C][C]49046.6103896104[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]66366.5555555556[/C][C]8041.44444444444[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]66366.5555555556[/C][C]14873.4444444444[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]33903.9523809524[/C][C]-19215.9523809524[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]185081.75[/C][C]-3448.75[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]244808.947368421[/C][C]27047.052631579[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]33903.9523809524[/C][C]-26704.9523809524[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]66366.5555555556[/C][C]-19706.5555555556[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]33903.9523809524[/C][C]-16356.9523809524[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]137744.65[/C][C]-4376.64999999999[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]66366.5555555556[/C][C]28860.4444444444[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]137744.65[/C][C]14856.35[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]86734.3896103896[/C][C]11411.6103896104[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]86734.3896103896[/C][C]-7115.38961038961[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]86734.3896103896[/C][C]-27540.3896103896[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]185081.75[/C][C]-45139.75[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]131839.823529412[/C][C]-13227.8235294118[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]86734.3896103896[/C][C]-13854.3896103896[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]86734.3896103896[/C][C]-21259.3896103896[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]86734.3896103896[/C][C]12908.6103896104[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]131839.823529412[/C][C]-59874.8235294118[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]137744.65[/C][C]-60472.65[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]66366.5555555556[/C][C]-17077.5555555556[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]86734.3896103896[/C][C]48396.6103896104[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]137744.65[/C][C]-29298.65[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]86734.3896103896[/C][C]3011.61038961039[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]66366.5555555556[/C][C]-22070.5555555556[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]86734.3896103896[/C][C]-9086.38961038961[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]137744.65[/C][C]43783.35[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]86734.3896103896[/C][C]47284.6103896104[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]86734.3896103896[/C][C]37329.6103896104[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]86734.3896103896[/C][C]5895.61038961039[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]86734.3896103896[/C][C]35113.6103896104[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]86734.3896103896[/C][C]-33819.3896103896[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]137744.65[/C][C]-55872.65[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]66366.5555555556[/C][C]-7385.55555555556[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]86734.3896103896[/C][C]-33219.3896103896[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]86734.3896103896[/C][C]-25922.3896103896[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]86734.3896103896[/C][C]-30359.3896103896[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]86734.3896103896[/C][C]-21244.3896103896[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]33903.9523809524[/C][C]47045.0476190476[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]86734.3896103896[/C][C]-10432.3896103896[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]137744.65[/C][C]-33733.65[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]131839.823529412[/C][C]-33735.8235294118[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]86734.3896103896[/C][C]-18745.3896103896[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]33903.9523809524[/C][C]-2914.95238095238[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]131839.823529412[/C][C]3618.17647058822[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]66366.5555555556[/C][C]7137.44444444444[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]131839.823529412[/C][C]-68716.8235294118[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]66366.5555555556[/C][C]-5112.55555555556[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]86734.3896103896[/C][C]-11820.3896103896[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]33903.9523809524[/C][C]-2129.95238095238[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]86734.3896103896[/C][C]-5297.38961038961[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]86734.3896103896[/C][C]451.610389610389[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]86734.3896103896[/C][C]-36644.3896103896[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]86734.3896103896[/C][C]-20989.3896103896[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]86734.3896103896[/C][C]-30081.3896103896[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]86734.3896103896[/C][C]71664.6103896104[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]66366.5555555556[/C][C]-19911.5555555556[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]86734.3896103896[/C][C]-13110.3896103896[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]66366.5555555556[/C][C]-27971.5555555556[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]86734.3896103896[/C][C]5164.61038961039[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]185081.75[/C][C]-45555.75[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]86734.3896103896[/C][C]-34570.3896103896[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]86734.3896103896[/C][C]-35167.3896103896[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]86734.3896103896[/C][C]-16183.3896103896[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]86734.3896103896[/C][C]-1878.38961038961[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]86734.3896103896[/C][C]15803.6103896104[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]86734.3896103896[/C][C]-56.3896103896113[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]66366.5555555556[/C][C]19342.4444444444[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]86734.3896103896[/C][C]-52072.3896103896[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]137744.65[/C][C]12835.35[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]86734.3896103896[/C][C]12876.6103896104[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]66366.5555555556[/C][C]-47017.5555555556[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]86734.3896103896[/C][C]12638.6103896104[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]86734.3896103896[/C][C]-504.389610389611[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]33903.9523809524[/C][C]-3066.95238095238[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]66366.5555555556[/C][C]-34660.5555555556[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]86734.3896103896[/C][C]3071.61038961039[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]33903.9523809524[/C][C]28184.0476190476[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]66366.5555555556[/C][C]-26215.5555555556[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]33903.9523809524[/C][C]-6269.95238095238[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]86734.3896103896[/C][C]-9744.38961038961[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]33903.9523809524[/C][C]3556.04761904762[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]86734.3896103896[/C][C]-32577.3896103896[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]86734.3896103896[/C][C]-36872.3896103896[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]86734.3896103896[/C][C]-2397.38961038961[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]86734.3896103896[/C][C]-22559.3896103896[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]66366.5555555556[/C][C]-6984.55555555556[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]86734.3896103896[/C][C]32573.6103896104[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]86734.3896103896[/C][C]-10032.3896103896[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]86734.3896103896[/C][C]16690.6103896104[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]86734.3896103896[/C][C]-16390.3896103896[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]33903.9523809524[/C][C]9506.04761904762[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]86734.3896103896[/C][C]18103.6103896104[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]66366.5555555556[/C][C]-4151.55555555556[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]66366.5555555556[/C][C]2937.44444444444[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]33903.9523809524[/C][C]19213.0476190476[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]33903.9523809524[/C][C]-14139.9523809524[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]86734.3896103896[/C][C]-54.3896103896113[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]86734.3896103896[/C][C]-2629.38961038961[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]86734.3896103896[/C][C]-8789.38961038961[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]66366.5555555556[/C][C]22746.4444444444[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]66366.5555555556[/C][C]24638.4444444444[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]33903.9523809524[/C][C]6344.04761904762[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]33903.9523809524[/C][C]30283.0476190476[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]66366.5555555556[/C][C]-15509.5555555556[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]66366.5555555556[/C][C]-9753.55555555556[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]131839.823529412[/C][C]-69047.8235294118[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197392&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197392&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	210907	244808.947368421	-33901.947368421
2	120982	185081.75	-64099.75
3	176508	185081.75	-8573.75
4	179321	244808.947368421	-65487.947368421
5	123185	131839.823529412	-8654.82352941178
6	52746	86734.3896103896	-33988.3896103896
7	385534	244808.947368421	140725.052631579
8	33170	33903.9523809524	-733.952380952382
9	101645	86734.3896103896	14910.6103896104
10	149061	185081.75	-36020.75
11	165446	185081.75	-19635.75
12	237213	244808.947368421	-7595.94736842104
13	173326	185081.75	-11755.75
14	133131	131839.823529412	1291.17647058822
15	258873	244808.947368421	14064.052631579
16	180083	131839.823529412	48243.1764705882
17	324799	244808.947368421	79990.052631579
18	230964	244808.947368421	-13844.947368421
19	236785	185081.75	51703.25
20	135473	244808.947368421	-109335.947368421
21	202925	244808.947368421	-41883.947368421
22	215147	244808.947368421	-29661.947368421
23	344297	244808.947368421	99488.052631579
24	153935	185081.75	-31146.75
25	132943	185081.75	-52138.75
26	174724	244808.947368421	-70084.947368421
27	174415	185081.75	-10666.75
28	225548	185081.75	40466.25
29	223632	185081.75	38550.25
30	124817	86734.3896103896	38082.6103896104
31	221698	185081.75	36616.25
32	210767	244808.947368421	-34041.947368421
33	170266	244808.947368421	-74542.947368421
34	260561	244808.947368421	15752.052631579
35	84853	66366.5555555556	18486.4444444444
36	294424	244808.947368421	49615.052631579
37	101011	86734.3896103896	14276.6103896104
38	215641	131839.823529412	83801.1764705882
39	325107	185081.75	140025.25
40	7176	33903.9523809524	-26727.9523809524
41	167542	185081.75	-17539.75
42	106408	137744.65	-31336.65
43	96560	86734.3896103896	9825.61038961039
44	265769	244808.947368421	20960.052631579
45	269651	185081.75	84569.25
46	149112	185081.75	-35969.75
47	175824	185081.75	-9257.75
48	152871	185081.75	-32210.75
49	111665	137744.65	-26079.65
50	116408	86734.3896103896	29673.6103896104
51	362301	185081.75	177219.25
52	78800	86734.3896103896	-7934.38961038961
53	183167	244808.947368421	-61641.947368421
54	277965	244808.947368421	33156.052631579
55	150629	185081.75	-34452.75
56	168809	185081.75	-16272.75
57	24188	33903.9523809524	-9715.95238095238
58	329267	244808.947368421	84458.052631579
59	65029	66366.5555555556	-1337.55555555556
60	101097	86734.3896103896	14362.6103896104
61	218946	185081.75	33864.25
62	244052	244808.947368421	-756.947368421039
63	341570	244808.947368421	96761.052631579
64	103597	86734.3896103896	16862.6103896104
65	233328	244808.947368421	-11480.947368421
66	256462	244808.947368421	11653.052631579
67	206161	185081.75	21079.25
68	311473	244808.947368421	66664.052631579
69	235800	244808.947368421	-9008.94736842104
70	177939	131839.823529412	46099.1764705882
71	207176	185081.75	22094.25
72	196553	185081.75	11471.25
73	174184	185081.75	-10897.75
74	143246	185081.75	-41835.75
75	187559	185081.75	2477.25
76	187681	244808.947368421	-57127.947368421
77	119016	185081.75	-66065.75
78	182192	185081.75	-2889.75
79	73566	66366.5555555556	7199.44444444444
80	194979	185081.75	9897.25
81	167488	185081.75	-17593.75
82	143756	244808.947368421	-101052.947368421
83	275541	185081.75	90459.25
84	243199	244808.947368421	-1609.94736842104
85	182999	137744.65	45254.35
86	135649	185081.75	-49432.75
87	152299	185081.75	-32782.75
88	120221	137744.65	-17523.65
89	346485	244808.947368421	101676.052631579
90	145790	137744.65	8045.35000000001
91	193339	244808.947368421	-51469.947368421
92	80953	86734.3896103896	-5781.38961038961
93	122774	86734.3896103896	36039.6103896104
94	130585	185081.75	-54496.75
95	112611	86734.3896103896	25876.6103896104
96	286468	185081.75	101386.25
97	241066	137744.65	103321.35
98	148446	244808.947368421	-96362.947368421
99	204713	131839.823529412	72873.1764705882
100	182079	244808.947368421	-62729.947368421
101	140344	131839.823529412	8504.17647058822
102	220516	185081.75	35434.25
103	243060	244808.947368421	-1748.94736842104
104	162765	185081.75	-22316.75
105	182613	244808.947368421	-62195.947368421
106	232138	244808.947368421	-12670.947368421
107	265318	244808.947368421	20509.052631579
108	85574	86734.3896103896	-1160.38961038961
109	310839	244808.947368421	66030.052631579
110	225060	185081.75	39978.25
111	232317	244808.947368421	-12491.947368421
112	144966	86734.3896103896	58231.6103896104
113	43287	86734.3896103896	-43447.3896103896
114	155754	185081.75	-29327.75
115	164709	244808.947368421	-80099.947368421
116	201940	185081.75	16858.25
117	235454	244808.947368421	-9354.94736842104
118	220801	185081.75	35719.25
119	99466	137744.65	-38278.65
120	92661	86734.3896103896	5926.61038961039
121	133328	185081.75	-51753.75
122	61361	86734.3896103896	-25373.3896103896
123	125930	131839.823529412	-5909.82352941178
124	100750	86734.3896103896	14015.6103896104
125	224549	185081.75	39467.25
126	82316	66366.5555555556	15949.4444444444
127	102010	86734.3896103896	15275.6103896104
128	101523	185081.75	-83558.75
129	243511	244808.947368421	-1297.94736842104
130	22938	33903.9523809524	-10965.9523809524
131	41566	33903.9523809524	7662.04761904762
132	152474	185081.75	-32607.75
133	61857	66366.5555555556	-4509.55555555556
134	99923	137744.65	-37821.65
135	132487	131839.823529412	647.176470588223
136	317394	244808.947368421	72585.052631579
137	21054	33903.9523809524	-12849.9523809524
138	209641	185081.75	24559.25
139	22648	66366.5555555556	-43718.5555555556
140	31414	66366.5555555556	-34952.5555555556
141	46698	66366.5555555556	-19668.5555555556
142	131698	185081.75	-53383.75
143	91735	66366.5555555556	25368.4444444444
144	244749	185081.75	59667.25
145	184510	185081.75	-571.75
146	79863	66366.5555555556	13496.4444444444
147	128423	66366.5555555556	62056.4444444444
148	97839	185081.75	-87242.75
149	38214	66366.5555555556	-28152.5555555556
150	151101	137744.65	13356.35
151	272458	244808.947368421	27649.052631579
152	172494	244808.947368421	-72314.947368421
153	108043	86734.3896103896	21308.6103896104
154	328107	244808.947368421	83298.052631579
155	250579	244808.947368421	5770.05263157896
156	351067	244808.947368421	106258.052631579
157	158015	185081.75	-27066.75
158	98866	86734.3896103896	12131.6103896104
159	85439	86734.3896103896	-1295.38961038961
160	229242	185081.75	44160.25
161	351619	244808.947368421	106810.052631579
162	84207	66366.5555555556	17840.4444444444
163	120445	137744.65	-17299.65
164	324598	244808.947368421	79789.052631579
165	131069	185081.75	-54012.75
166	204271	244808.947368421	-40537.947368421
167	165543	244808.947368421	-79265.947368421
168	141722	131839.823529412	9882.17647058822
169	116048	131839.823529412	-15791.8235294118
170	250047	137744.65	112302.35
171	299775	185081.75	114693.25
172	195838	244808.947368421	-48970.947368421
173	173260	66366.5555555556	106893.444444444
174	254488	244808.947368421	9679.05263157896
175	104389	185081.75	-80692.75
176	136084	137744.65	-1660.64999999999
177	199476	244808.947368421	-45332.947368421
178	92499	86734.3896103896	5764.61038961039
179	224330	244808.947368421	-20478.947368421
180	135781	86734.3896103896	49046.6103896104
181	74408	66366.5555555556	8041.44444444444
182	81240	66366.5555555556	14873.4444444444
183	14688	33903.9523809524	-19215.9523809524
184	181633	185081.75	-3448.75
185	271856	244808.947368421	27047.052631579
186	7199	33903.9523809524	-26704.9523809524
187	46660	66366.5555555556	-19706.5555555556
188	17547	33903.9523809524	-16356.9523809524
189	133368	137744.65	-4376.64999999999
190	95227	66366.5555555556	28860.4444444444
191	152601	137744.65	14856.35
192	98146	86734.3896103896	11411.6103896104
193	79619	86734.3896103896	-7115.38961038961
194	59194	86734.3896103896	-27540.3896103896
195	139942	185081.75	-45139.75
196	118612	131839.823529412	-13227.8235294118
197	72880	86734.3896103896	-13854.3896103896
198	65475	86734.3896103896	-21259.3896103896
199	99643	86734.3896103896	12908.6103896104
200	71965	131839.823529412	-59874.8235294118
201	77272	137744.65	-60472.65
202	49289	66366.5555555556	-17077.5555555556
203	135131	86734.3896103896	48396.6103896104
204	108446	137744.65	-29298.65
205	89746	86734.3896103896	3011.61038961039
206	44296	66366.5555555556	-22070.5555555556
207	77648	86734.3896103896	-9086.38961038961
208	181528	137744.65	43783.35
209	134019	86734.3896103896	47284.6103896104
210	124064	86734.3896103896	37329.6103896104
211	92630	86734.3896103896	5895.61038961039
212	121848	86734.3896103896	35113.6103896104
213	52915	86734.3896103896	-33819.3896103896
214	81872	137744.65	-55872.65
215	58981	66366.5555555556	-7385.55555555556
216	53515	86734.3896103896	-33219.3896103896
217	60812	86734.3896103896	-25922.3896103896
218	56375	86734.3896103896	-30359.3896103896
219	65490	86734.3896103896	-21244.3896103896
220	80949	33903.9523809524	47045.0476190476
221	76302	86734.3896103896	-10432.3896103896
222	104011	137744.65	-33733.65
223	98104	131839.823529412	-33735.8235294118
224	67989	86734.3896103896	-18745.3896103896
225	30989	33903.9523809524	-2914.95238095238
226	135458	131839.823529412	3618.17647058822
227	73504	66366.5555555556	7137.44444444444
228	63123	131839.823529412	-68716.8235294118
229	61254	66366.5555555556	-5112.55555555556
230	74914	86734.3896103896	-11820.3896103896
231	31774	33903.9523809524	-2129.95238095238
232	81437	86734.3896103896	-5297.38961038961
233	87186	86734.3896103896	451.610389610389
234	50090	86734.3896103896	-36644.3896103896
235	65745	86734.3896103896	-20989.3896103896
236	56653	86734.3896103896	-30081.3896103896
237	158399	86734.3896103896	71664.6103896104
238	46455	66366.5555555556	-19911.5555555556
239	73624	86734.3896103896	-13110.3896103896
240	38395	66366.5555555556	-27971.5555555556
241	91899	86734.3896103896	5164.61038961039
242	139526	185081.75	-45555.75
243	52164	86734.3896103896	-34570.3896103896
244	51567	86734.3896103896	-35167.3896103896
245	70551	86734.3896103896	-16183.3896103896
246	84856	86734.3896103896	-1878.38961038961
247	102538	86734.3896103896	15803.6103896104
248	86678	86734.3896103896	-56.3896103896113
249	85709	66366.5555555556	19342.4444444444
250	34662	86734.3896103896	-52072.3896103896
251	150580	137744.65	12835.35
252	99611	86734.3896103896	12876.6103896104
253	19349	66366.5555555556	-47017.5555555556
254	99373	86734.3896103896	12638.6103896104
255	86230	86734.3896103896	-504.389610389611
256	30837	33903.9523809524	-3066.95238095238
257	31706	66366.5555555556	-34660.5555555556
258	89806	86734.3896103896	3071.61038961039
259	62088	33903.9523809524	28184.0476190476
260	40151	66366.5555555556	-26215.5555555556
261	27634	33903.9523809524	-6269.95238095238
262	76990	86734.3896103896	-9744.38961038961
263	37460	33903.9523809524	3556.04761904762
264	54157	86734.3896103896	-32577.3896103896
265	49862	86734.3896103896	-36872.3896103896
266	84337	86734.3896103896	-2397.38961038961
267	64175	86734.3896103896	-22559.3896103896
268	59382	66366.5555555556	-6984.55555555556
269	119308	86734.3896103896	32573.6103896104
270	76702	86734.3896103896	-10032.3896103896
271	103425	86734.3896103896	16690.6103896104
272	70344	86734.3896103896	-16390.3896103896
273	43410	33903.9523809524	9506.04761904762
274	104838	86734.3896103896	18103.6103896104
275	62215	66366.5555555556	-4151.55555555556
276	69304	66366.5555555556	2937.44444444444
277	53117	33903.9523809524	19213.0476190476
278	19764	33903.9523809524	-14139.9523809524
279	86680	86734.3896103896	-54.3896103896113
280	84105	86734.3896103896	-2629.38961038961
281	77945	86734.3896103896	-8789.38961038961
282	89113	66366.5555555556	22746.4444444444
283	91005	66366.5555555556	24638.4444444444
284	40248	33903.9523809524	6344.04761904762
285	64187	33903.9523809524	30283.0476190476
286	50857	66366.5555555556	-15509.5555555556
287	56613	66366.5555555556	-9753.55555555556
288	62792	131839.823529412	-69047.8235294118

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 = 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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code