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 computationTue, 13 Dec 2011 12:44:25 -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/13/t132379836148c419423be8y8m.htm/, Retrieved Thu, 02 May 2024 22:04:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154576, Retrieved Thu, 02 May 2024 22:04:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact152
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)] [Recursive Partiti...] [2011-12-13 17:44:25] [8e74b77f6c0ad21b554439c4ef29c61b] [Current]
-    D      [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2011-12-20 08:46:25] [74be16979710d4c4e7c6647856088456]
- R  D      [Recursive Partitioning (Regression Trees)] [] [2011-12-23 13:30:13] [80bca13c5f9401fbb753952fd2952f4a]
- R           [Recursive Partitioning (Regression Trees)] [] [2011-12-23 17:24:19] [19d77e37efa419fdc040c74a96874aff]
- R  D      [Recursive Partitioning (Regression Trees)] [] [2011-12-23 18:39:13] [80bca13c5f9401fbb753952fd2952f4a]
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Dataseries X:
210907	56	3	79	94
120982	56	4	58	103
176508	54	12	60	93
179321	89	2	108	103
123185	40	1	49	51
52746	25	3	0	70
385534	92	0	121	91
33170	18	0	1	22
101645	63	0	20	38
149061	44	5	43	93
165446	33	0	69	60
237213	84	0	78	123
173326	88	7	86	148
133131	55	7	44	90
258873	60	3	104	124
180083	66	9	63	70
324799	154	0	158	168
230964	53	4	102	115
236785	119	3	77	71
135473	41	0	82	66
202925	61	7	115	134
215147	58	0	101	117
344297	75	1	80	108
153935	33	5	50	84
132943	40	7	83	156
174724	92	0	123	120
174415	100	0	73	114
225548	112	5	81	94
223632	73	0	105	120
124817	40	0	47	81
221698	45	0	105	110
210767	60	3	94	133
170266	62	4	44	122
260561	75	1	114	158
84853	31	4	38	109
294424	77	2	107	124
101011	34	0	30	39
215641	46	0	71	92
325107	99	0	84	126
7176	17	0	0	0
167542	66	2	59	70
106408	30	1	33	37
96560	76	0	42	38
265769	146	2	96	120
269651	67	10	106	93
149112	56	6	56	95
175824	107	0	57	77
152871	58	5	59	90
111665	34	4	39	80
116408	61	1	34	31
362301	119	2	76	110
78800	42	2	20	66
183167	66	0	91	138
277965	89	8	115	133
150629	44	3	85	113
168809	66	0	76	100
24188	24	0	8	7
329267	259	8	79	140
65029	17	5	21	61
101097	64	3	30	41
218946	41	1	76	96
244052	68	5	101	164
341570	168	1	94	78
103597	43	1	27	49
233328	132	5	92	102
256462	105	0	123	124
206161	71	12	75	99
311473	112	8	128	129
235800	94	8	105	62
177939	82	8	55	73
207176	70	8	56	114
196553	57	2	41	99
174184	53	0	72	70
143246	103	5	67	104
187559	121	8	75	116
187681	62	2	114	91
119016	52	5	118	74
182192	52	12	77	138
73566	32	6	22	67
194979	62	7	66	151
167488	45	2	69	72
143756	46	0	105	120
275541	63	4	116	115
243199	75	3	88	105
182999	88	6	73	104
135649	46	2	99	108
152299	53	0	62	98
120221	37	1	53	69
346485	90	0	118	111
145790	63	5	30	99
193339	78	2	100	71
80953	25	0	49	27
122774	45	0	24	69
130585	46	5	67	107
112611	41	0	46	73
286468	144	1	57	107
241066	82	0	75	93
148446	91	1	135	129
204713	71	1	68	69
182079	63	2	124	118
140344	53	6	33	73
220516	62	1	98	119
243060	63	4	58	104
162765	32	2	68	107
182613	39	3	81	99
232138	62	0	131	90
265318	117	10	110	197
85574	34	0	37	36
310839	92	9	130	85
225060	93	7	93	139
232317	54	0	118	106
144966	144	0	39	50
43287	14	4	13	64
155754	61	4	74	31
164709	109	0	81	63
201940	38	0	109	92
235454	73	0	151	106
220801	75	1	51	63
99466	50	0	28	69
92661	61	1	40	41
133328	55	0	56	56
61361	77	0	27	25
125930	75	4	37	65
100750	72	0	83	93
224549	50	4	54	114
82316	32	4	27	38
102010	53	3	28	44
101523	42	0	59	87
243511	71	0	133	110
22938	10	0	12	0
41566	35	5	0	27
152474	65	0	106	83
61857	25	4	23	30
99923	66	0	44	80
132487	41	0	71	98
317394	86	1	116	82
21054	16	0	4	0
209641	42	5	62	60
22648	19	0	12	28
31414	19	0	18	9
46698	45	0	14	33
131698	65	0	60	59
91735	35	0	7	49
244749	95	2	98	115
184510	49	7	64	140
79863	37	1	29	49
128423	64	8	32	120
97839	38	2	25	66
38214	34	0	16	21
151101	32	2	48	124
272458	65	0	100	152
172494	52	0	46	139
108043	62	1	45	38
328107	65	3	129	144
250579	83	0	130	120
351067	95	3	136	160
158015	29	0	59	114
98866	18	0	25	39
85439	33	0	32	78
229242	247	4	63	119
351619	139	4	95	141
84207	29	11	14	101
120445	118	0	36	56
324598	110	0	113	133
131069	67	4	47	83
204271	42	0	92	116
165543	65	1	70	90
141722	94	0	19	36
116048	64	0	50	50
250047	81	0	41	61
299775	95	9	91	97
195838	67	1	111	98
173260	63	3	41	78
254488	83	10	120	117
104389	45	5	135	148
136084	30	0	27	41
199476	70	2	87	105
92499	32	0	25	55
224330	83	1	131	132
135781	31	2	45	44
74408	67	4	29	21
81240	66	0	58	50
14688	10	0	4	0
181633	70	2	47	73
271856	103	1	109	86
7199	5	0	7	0
46660	20	0	12	13
17547	5	0	0	4
133368	36	1	37	57
95227	34	0	37	48
152601	48	2	46	46
98146	40	0	15	48
79619	43	3	42	32
59194	31	6	7	68
139942	42	0	54	87
118612	46	2	54	43
72880	33	0	14	67
65475	18	2	16	46
99643	55	1	33	46
71965	35	1	32	56
77272	59	2	21	48
49289	19	1	15	44
135131	66	0	38	60
108446	60	1	22	65
89746	36	3	28	55
44296	25	0	10	38
77648	47	0	31	52
181528	54	0	32	60
134019	53	0	32	54
124064	40	1	43	86
92630	40	4	27	24
121848	39	0	37	52
52915	14	0	20	49
81872	45	0	32	61
58981	36	7	0	61
53515	28	2	5	81
60812	44	0	26	43
56375	30	7	10	40
65490	22	3	27	40
80949	17	0	11	56
76302	31	0	29	68
104011	55	6	25	79
98104	54	2	55	47
67989	21	0	23	57
30989	14	0	5	41
135458	81	3	43	29
73504	35	0	23	3
63123	43	1	34	60
61254	46	1	36	30
74914	30	0	35	79
31774	23	1	0	47
81437	38	0	37	40
87186	54	0	28	48
50090	20	0	16	36
65745	53	0	26	42
56653	45	0	38	49
158399	39	0	23	57
46455	20	0	22	12
73624	24	0	30	40
38395	31	0	16	43
91899	35	0	18	33
139526	151	0	28	77
52164	52	0	32	43
51567	30	2	21	45
70551	31	0	23	47
84856	29	1	29	43
102538	57	1	50	45
86678	40	0	12	50
85709	44	0	21	35
34662	25	0	18	7
150580	77	0	27	71
99611	35	0	41	67
19349	11	0	13	0
99373	63	1	12	62
86230	44	0	21	54
30837	19	0	8	4
31706	13	0	26	25
89806	42	0	27	40
62088	38	1	13	38
40151	29	0	16	19
27634	20	0	2	17
76990	27	0	42	67
37460	20	0	5	14
54157	19	0	37	30
49862	37	0	17	54
84337	26	0	38	35
64175	42	0	37	59
59382	49	0	29	24
119308	30	0	32	58
76702	49	0	35	42
103425	67	1	17	46
70344	28	0	20	61
43410	19	0	7	3
104838	49	1	46	52
62215	27	0	24	25
69304	30	6	40	40
53117	22	3	3	32
19764	12	1	10	4
86680	31	2	37	49
84105	20	0	17	63
77945	20	0	28	67
89113	39	0	19	32
91005	29	3	29	23
40248	16	1	8	7
64187	27	0	10	54
50857	21	0	15	37
56613	19	1	15	35
62792	35	0	28	51
72535	14	0	17	39




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'AstonUniversity' @ aston.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 & 5 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154576&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154576&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154576&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 time5 seconds
R Server'AstonUniversity' @ aston.wessa.net







Goodness of Fit
Correlation0.885
R-squared0.7831
RMSE38277.4411

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.885 \tabularnewline
R-squared & 0.7831 \tabularnewline
RMSE & 38277.4411 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154576&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.885[/C][/ROW]
[ROW][C]R-squared[/C][C]0.7831[/C][/ROW]
[ROW][C]RMSE[/C][C]38277.4411[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154576&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154576&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
Correlation0.885
R-squared0.7831
RMSE38277.4411







Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
1210907162143.42857142948763.5714285714
2120982162143.428571429-41161.4285714286
3176508162143.42857142914364.5714285714
4179321255726.843137255-76405.843137255
512318584499.044776119438685.9552238806
65274656099.75-3353.75
7385534255726.843137255129807.156862745
83317034770.3076923077-1600.3076923077
910164597734.81253910.1875
10149061134977.62514083.375
11165446162143.4285714293302.57142857142
12237213255726.843137255-18513.8431372549
13173326255726.843137255-82400.843137255
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
23344297255726.84313725588570.156862745
24153935134977.62518957.375
25132943162143.428571429-29200.4285714286
26174724255726.843137255-81002.8431372549
27174415255726.843137255-81311.843137255
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
439656097734.8125-1174.8125
44265769255726.84313725510042.1568627451
45269651209940.77777777859710.2222222222
46149112162143.428571429-13031.4285714286
47175824255726.843137255-79902.8431372549
48152871162143.428571429-9272.42857142858
49111665134977.625-23312.625
5011640897734.812518673.1875
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
58329267255726.84313725573540.156862745
596502984499.0447761194-19470.0447761194
6010109797734.81253362.1875
61218946162143.42857142956802.5714285714
62244052209940.77777777834111.2222222222
63341570255726.84313725585843.156862745
6410359784499.044776119419097.9552238806
65233328255726.843137255-22398.8431372549
66256462255726.843137255735.15686274509
67206161162143.42857142944017.5714285714
68311473255726.84313725555746.1568627451
69235800255726.843137255-19926.8431372549
70177939255726.843137255-77787.843137255
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
85182999255726.843137255-72727.843137255
86135649209940.777777778-74291.7777777778
87152299162143.428571429-9844.42857142858
88120221162143.428571429-41922.4285714286
89346485255726.84313725590758.156862745
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
107265318255726.8431372559591.1568627451
1088557484499.04477611941074.95522388059
109310839255726.84313725555112.1568627451
110225060255726.843137255-30666.8431372549
111232317209940.77777777822376.2222222222
112144966146284.444444444-1318.44444444444
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
1209266197734.8125-5073.8125
121133328162143.428571429-28815.4285714286
1226136197734.8125-36373.8125
123125930146284.444444444-20354.4444444444
124100750162143.428571429-61393.4285714286
125224549162143.42857142962405.5714285714
1268231684499.0447761194-2183.04477611941
12710201097734.81254275.1875
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
15310804397734.812510308.1875
154328107209940.777777778118166.222222222
155250579255726.843137255-5147.84313725491
156351067255726.84313725595340.156862745
157158015162143.428571429-4128.42857142858
1589886684499.044776119414366.9552238806
15985439134977.625-49538.625
160229242255726.843137255-26484.8431372549
161351619255726.84313725595892.156862745
1628420756099.7528107.25
163120445146284.444444444-25839.4444444444
164324598255726.84313725568871.1568627451
165131069134977.625-3908.625
166204271209940.777777778-5669.77777777778
167165543162143.4285714293399.57142857142
16814172297734.812543987.1875
169116048146284.444444444-30236.4444444444
170250047146284.444444444103762.555555556
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
1817440897734.8125-23326.8125
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
1999964397734.81251908.1875
2007196584499.0447761194-12534.0447761194
2017727297734.8125-20462.8125
2024928956099.75-6810.75
203135131146284.444444444-11153.4444444444
204108446146284.444444444-37838.4444444444
2058974684499.04477611945246.95522388059
2064429656099.75-11803.75
2077764884499.0447761194-6851.04477611941
208181528146284.44444444435243.5555555556
209134019146284.444444444-12265.4444444444
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
22613545897734.812537723.1875
2277350484499.0447761194-10995.0447761194
2286312384499.0447761194-21376.0447761194
2296125484499.0447761194-23245.0447761194
23074914134977.625-60063.625
2313177456099.75-24325.75
2328143784499.0447761194-3062.04477611941
2338718697734.8125-10548.8125
2345009056099.75-6009.75
2356574597734.8125-31989.8125
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
24710253897734.81254803.1875
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 & -76405.843137255 \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 & 97734.8125 & 3910.1875 \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 & -82400.843137255 \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 & 88570.156862745 \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 & -81311.843137255 \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 & 97734.8125 & -1174.8125 \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 & 97734.8125 & 18673.1875 \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 & 73540.156862745 \tabularnewline
59 & 65029 & 84499.0447761194 & -19470.0447761194 \tabularnewline
60 & 101097 & 97734.8125 & 3362.1875 \tabularnewline
61 & 218946 & 162143.428571429 & 56802.5714285714 \tabularnewline
62 & 244052 & 209940.777777778 & 34111.2222222222 \tabularnewline
63 & 341570 & 255726.843137255 & 85843.156862745 \tabularnewline
64 & 103597 & 84499.0447761194 & 19097.9552238806 \tabularnewline
65 & 233328 & 255726.843137255 & -22398.8431372549 \tabularnewline
66 & 256462 & 255726.843137255 & 735.15686274509 \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 & -77787.843137255 \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 & -72727.843137255 \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 & 90758.156862745 \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 & 9591.1568627451 \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 & 146284.444444444 & -1318.44444444444 \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 & 97734.8125 & -5073.8125 \tabularnewline
121 & 133328 & 162143.428571429 & -28815.4285714286 \tabularnewline
122 & 61361 & 97734.8125 & -36373.8125 \tabularnewline
123 & 125930 & 146284.444444444 & -20354.4444444444 \tabularnewline
124 & 100750 & 162143.428571429 & -61393.4285714286 \tabularnewline
125 & 224549 & 162143.428571429 & 62405.5714285714 \tabularnewline
126 & 82316 & 84499.0447761194 & -2183.04477611941 \tabularnewline
127 & 102010 & 97734.8125 & 4275.1875 \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 & 97734.8125 & 10308.1875 \tabularnewline
154 & 328107 & 209940.777777778 & 118166.222222222 \tabularnewline
155 & 250579 & 255726.843137255 & -5147.84313725491 \tabularnewline
156 & 351067 & 255726.843137255 & 95340.156862745 \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 & 95892.156862745 \tabularnewline
162 & 84207 & 56099.75 & 28107.25 \tabularnewline
163 & 120445 & 146284.444444444 & -25839.4444444444 \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 & 97734.8125 & 43987.1875 \tabularnewline
169 & 116048 & 146284.444444444 & -30236.4444444444 \tabularnewline
170 & 250047 & 146284.444444444 & 103762.555555556 \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 & 97734.8125 & -23326.8125 \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 & 97734.8125 & 1908.1875 \tabularnewline
200 & 71965 & 84499.0447761194 & -12534.0447761194 \tabularnewline
201 & 77272 & 97734.8125 & -20462.8125 \tabularnewline
202 & 49289 & 56099.75 & -6810.75 \tabularnewline
203 & 135131 & 146284.444444444 & -11153.4444444444 \tabularnewline
204 & 108446 & 146284.444444444 & -37838.4444444444 \tabularnewline
205 & 89746 & 84499.0447761194 & 5246.95522388059 \tabularnewline
206 & 44296 & 56099.75 & -11803.75 \tabularnewline
207 & 77648 & 84499.0447761194 & -6851.04477611941 \tabularnewline
208 & 181528 & 146284.444444444 & 35243.5555555556 \tabularnewline
209 & 134019 & 146284.444444444 & -12265.4444444444 \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 & 97734.8125 & 37723.1875 \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 & 97734.8125 & -10548.8125 \tabularnewline
234 & 50090 & 56099.75 & -6009.75 \tabularnewline
235 & 65745 & 97734.8125 & -31989.8125 \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 & 97734.8125 & 4803.1875 \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=154576&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]-76405.843137255[/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]97734.8125[/C][C]3910.1875[/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]-82400.843137255[/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]88570.156862745[/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]-81311.843137255[/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]97734.8125[/C][C]-1174.8125[/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]97734.8125[/C][C]18673.1875[/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]73540.156862745[/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]97734.8125[/C][C]3362.1875[/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]85843.156862745[/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]735.15686274509[/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]-77787.843137255[/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]-72727.843137255[/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]90758.156862745[/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]9591.1568627451[/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]146284.444444444[/C][C]-1318.44444444444[/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]97734.8125[/C][C]-5073.8125[/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]97734.8125[/C][C]-36373.8125[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]146284.444444444[/C][C]-20354.4444444444[/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]97734.8125[/C][C]4275.1875[/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]97734.8125[/C][C]10308.1875[/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]95340.156862745[/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]95892.156862745[/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]146284.444444444[/C][C]-25839.4444444444[/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]97734.8125[/C][C]43987.1875[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]146284.444444444[/C][C]-30236.4444444444[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]146284.444444444[/C][C]103762.555555556[/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]97734.8125[/C][C]-23326.8125[/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]97734.8125[/C][C]1908.1875[/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]97734.8125[/C][C]-20462.8125[/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]146284.444444444[/C][C]-11153.4444444444[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]146284.444444444[/C][C]-37838.4444444444[/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]146284.444444444[/C][C]35243.5555555556[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]146284.444444444[/C][C]-12265.4444444444[/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]97734.8125[/C][C]37723.1875[/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]97734.8125[/C][C]-10548.8125[/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]97734.8125[/C][C]-31989.8125[/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]97734.8125[/C][C]4803.1875[/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=154576&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154576&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
4179321255726.843137255-76405.843137255
512318584499.044776119438685.9552238806
65274656099.75-3353.75
7385534255726.843137255129807.156862745
83317034770.3076923077-1600.3076923077
910164597734.81253910.1875
10149061134977.62514083.375
11165446162143.4285714293302.57142857142
12237213255726.843137255-18513.8431372549
13173326255726.843137255-82400.843137255
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
23344297255726.84313725588570.156862745
24153935134977.62518957.375
25132943162143.428571429-29200.4285714286
26174724255726.843137255-81002.8431372549
27174415255726.843137255-81311.843137255
28225548255726.843137255-30178.8431372549
29223632255726.843137255-32094.8431372549
30124817134977.625-10160.625
31221698209940.77777777811757.2222222222
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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')
}