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 computationMon, 12 Dec 2011 13:38:05 -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/12/t1323715136lvsxkh4mzsluagn.htm/, Retrieved Fri, 03 May 2024 12:44:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154142, Retrieved Fri, 03 May 2024 12:44:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact102
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)] [WS10 PLC no categ...] [2011-12-11 15:02:15] [9d4f280afcb4ecc352d7c6f913a0a151]
-   PD    [Recursive Partitioning (Regression Trees)] [WS10 PLC no categ...] [2011-12-12 18:04:39] [9d4f280afcb4ecc352d7c6f913a0a151]
-   PD        [Recursive Partitioning (Regression Trees)] [WS10 PLC no categ...] [2011-12-12 18:38:05] [2a6d487209befbc7c5ce02a41ecac161] [Current]
-   PD          [Recursive Partitioning (Regression Trees)] [Paper Regression ...] [2011-12-18 18:12:02] [9d4f280afcb4ecc352d7c6f913a0a151]
-   P             [Recursive Partitioning (Regression Trees)] [Paper Recursive P...] [2011-12-22 17:01:50] [9d4f280afcb4ecc352d7c6f913a0a151]
-   P               [Recursive Partitioning (Regression Trees)] [Paper Recursive P...] [2011-12-22 17:38:42] [9d4f280afcb4ecc352d7c6f913a0a151]
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Dataseries X:
210907	1418	56	3	79
120982	869	56	4	58
176508	1530	54	12	60
179321	2172	89	2	108
123185	901	40	1	49
52746	463	25	3	0
385534	3201	92	0	121
33170	371	18	0	1
101645	1192	63	0	20
149061	1583	44	5	43
165446	1439	33	0	69
237213	1764	84	0	78
173326	1495	88	7	86
133131	1373	55	7	44
258873	2187	60	3	104
180083	1491	66	9	63
324799	4041	154	0	158
230964	1706	53	4	102
236785	2152	119	3	77
135473	1036	41	0	82
202925	1882	61	7	115
215147	1929	58	0	101
344297	2242	75	1	80
153935	1220	33	5	50
132943	1289	40	7	83
174724	2515	92	0	123
174415	2147	100	0	73
225548	2352	112	5	81
223632	1638	73	0	105
124817	1222	40	0	47
221698	1812	45	0	105
210767	1677	60	3	94
170266	1579	62	4	44
260561	1731	75	1	114
84853	807	31	4	38
294424	2452	77	2	107
101011	829	34	0	30
215641	1940	46	0	71
325107	2662	99	0	84
7176	186	17	0	0
167542	1499	66	2	59
106408	865	30	1	33
96560	1793	76	0	42
265769	2527	146	2	96
269651	2747	67	10	106
149112	1324	56	6	56
175824	2702	107	0	57
152871	1383	58	5	59
111665	1179	34	4	39
116408	2099	61	1	34
362301	4308	119	2	76
78800	918	42	2	20
183167	1831	66	0	91
277965	3373	89	8	115
150629	1713	44	3	85
168809	1438	66	0	76
24188	496	24	0	8
329267	2253	259	8	79
65029	744	17	5	21
101097	1161	64	3	30
218946	2352	41	1	76
244052	2144	68	5	101
341570	4691	168	1	94
103597	1112	43	1	27
233328	2694	132	5	92
256462	1973	105	0	123
206161	1769	71	12	75
311473	3148	112	8	128
235800	2474	94	8	105
177939	2084	82	8	55
207176	1954	70	8	56
196553	1226	57	2	41
174184	1389	53	0	72
143246	1496	103	5	67
187559	2269	121	8	75
187681	1833	62	2	114
119016	1268	52	5	118
182192	1943	52	12	77
73566	893	32	6	22
194979	1762	62	7	66
167488	1403	45	2	69
143756	1425	46	0	105
275541	1857	63	4	116
243199	1840	75	3	88
182999	1502	88	6	73
135649	1441	46	2	99
152299	1420	53	0	62
120221	1416	37	1	53
346485	2970	90	0	118
145790	1317	63	5	30
193339	1644	78	2	100
80953	870	25	0	49
122774	1654	45	0	24
130585	1054	46	5	67
112611	937	41	0	46
286468	3004	144	1	57
241066	2008	82	0	75
148446	2547	91	1	135
204713	1885	71	1	68
182079	1626	63	2	124
140344	1468	53	6	33
220516	2445	62	1	98
243060	1964	63	4	58
162765	1381	32	2	68
182613	1369	39	3	81
232138	1659	62	0	131
265318	2888	117	10	110
85574	1290	34	0	37
310839	2845	92	9	130
225060	1982	93	7	93
232317	1904	54	0	118
144966	1391	144	0	39
43287	602	14	4	13
155754	1743	61	4	74
164709	1559	109	0	81
201940	2014	38	0	109
235454	2143	73	0	151
220801	2146	75	1	51
99466	874	50	0	28
92661	1590	61	1	40
133328	1590	55	0	56
61361	1210	77	0	27
125930	2072	75	4	37
100750	1281	72	0	83
224549	1401	50	4	54
82316	834	32	4	27
102010	1105	53	3	28
101523	1272	42	0	59
243511	1944	71	0	133
22938	391	10	0	12
41566	761	35	5	0
152474	1605	65	0	106
61857	530	25	4	23
99923	1988	66	0	44
132487	1386	41	0	71
317394	2395	86	1	116
21054	387	16	0	4
209641	1742	42	5	62
22648	620	19	0	12
31414	449	19	0	18
46698	800	45	0	14
131698	1684	65	0	60
91735	1050	35	0	7
244749	2699	95	2	98
184510	1606	49	7	64
79863	1502	37	1	29
128423	1204	64	8	32
97839	1138	38	2	25
38214	568	34	0	16
151101	1459	32	2	48
272458	2158	65	0	100
172494	1111	52	0	46
108043	1421	62	1	45
328107	2833	65	3	129
250579	1955	83	0	130
351067	2922	95	3	136
158015	1002	29	0	59
98866	1060	18	0	25
85439	956	33	0	32
229242	2186	247	4	63
351619	3604	139	4	95
84207	1035	29	11	14
120445	1417	118	0	36
324598	3261	110	0	113
131069	1587	67	4	47
204271	1424	42	0	92
165543	1701	65	1	70
141722	1249	94	0	19
116048	946	64	0	50
250047	1926	81	0	41
299775	3352	95	9	91
195838	1641	67	1	111
173260	2035	63	3	41
254488	2312	83	10	120
104389	1369	45	5	135
136084	1577	30	0	27
199476	2201	70	2	87
92499	961	32	0	25
224330	1900	83	1	131
135781	1254	31	2	45
74408	1335	67	4	29
81240	1597	66	0	58
14688	207	10	0	4
181633	1645	70	2	47
271856	2429	103	1	109
7199	151	5	0	7
46660	474	20	0	12
17547	141	5	0	0
133368	1639	36	1	37
95227	872	34	0	37
152601	1318	48	2	46
98146	1018	40	0	15
79619	1383	43	3	42
59194	1314	31	6	7
139942	1335	42	0	54
118612	1403	46	2	54
72880	910	33	0	14
65475	616	18	2	16
99643	1407	55	1	33
71965	771	35	1	32
77272	766	59	2	21
49289	473	19	1	15
135131	1376	66	0	38
108446	1232	60	1	22
89746	1521	36	3	28
44296	572	25	0	10
77648	1059	47	0	31
181528	1544	54	0	32
134019	1230	53	0	32
124064	1206	40	1	43
92630	1205	40	4	27
121848	1255	39	0	37
52915	613	14	0	20
81872	721	45	0	32
58981	1109	36	7	0
53515	740	28	2	5
60812	1126	44	0	26
56375	728	30	7	10
65490	689	22	3	27
80949	592	17	0	11
76302	995	31	0	29
104011	1613	55	6	25
98104	2048	54	2	55
67989	705	21	0	23
30989	301	14	0	5
135458	1803	81	3	43
73504	799	35	0	23
63123	861	43	1	34
61254	1186	46	1	36
74914	1451	30	0	35
31774	628	23	1	0
81437	1161	38	0	37
87186	1463	54	0	28
50090	742	20	0	16
65745	979	53	0	26
56653	675	45	0	38
158399	1241	39	0	23
46455	676	20	0	22
73624	1049	24	0	30
38395	620	31	0	16
91899	1081	35	0	18
139526	1688	151	0	28
52164	736	52	0	32
51567	617	30	2	21
70551	812	31	0	23
84856	1051	29	1	29
102538	1656	57	1	50
86678	705	40	0	12
85709	945	44	0	21
34662	554	25	0	18
150580	1597	77	0	27
99611	982	35	0	41
19349	222	11	0	13
99373	1212	63	1	12
86230	1143	44	0	21
30837	435	19	0	8
31706	532	13	0	26
89806	882	42	0	27
62088	608	38	1	13
40151	459	29	0	16
27634	578	20	0	2
76990	826	27	0	42
37460	509	20	0	5
54157	717	19	0	37
49862	637	37	0	17
84337	857	26	0	38
64175	830	42	0	37
59382	652	49	0	29
119308	707	30	0	32
76702	954	49	0	35
103425	1461	67	1	17
70344	672	28	0	20
43410	778	19	0	7
104838	1141	49	1	46
62215	680	27	0	24
69304	1090	30	6	40
53117	616	22	3	3
19764	285	12	1	10
86680	1145	31	2	37
84105	733	20	0	17
77945	888	20	0	28
89113	849	39	0	19
91005	1182	29	3	29
40248	528	16	1	8
64187	642	27	0	10
50857	947	21	0	15
56613	819	19	1	15
62792	757	35	0	28
72535	894	14	0	17




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 6 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154142&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154142&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154142&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 time6 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Goodness of Fit
Correlation0.932
R-squared0.8687
RMSE29789.2135

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.932 \tabularnewline
R-squared & 0.8687 \tabularnewline
RMSE & 29789.2135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154142&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.932[/C][/ROW]
[ROW][C]R-squared[/C][C]0.8687[/C][/ROW]
[ROW][C]RMSE[/C][C]29789.2135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154142&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154142&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
Correlation0.932
R-squared0.8687
RMSE29789.2135







Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
1210907149794.43478260961112.5652173913
2120982125386.181818182-4404.18181818182
3176508149794.43478260926713.5652173913
4179321246179.653846154-66858.6538461538
5123185125386.181818182-2201.18181818182
65274639424.133333333313321.8666666667
7385534321098.062564435.9375
83317019387.413782.6
910164584318.924528301917326.0754716981
10149061149794.434782609-733.434782608703
11165446149794.43478260915651.5652173913
12237213246179.653846154-8966.65384615384
13173326149794.43478260923531.5652173913
14133131149794.434782609-16663.4347826087
15258873217124.0841748.92
16180083149794.43478260930288.5652173913
17324799321098.06253700.9375
18230964217124.0813839.92
19236785246179.653846154-9394.65384615384
20135473125386.18181818210086.8181818182
21202925217124.08-14199.08
22215147217124.08-1977.07999999999
23344297246179.65384615498117.3461538462
24153935149794.4347826094140.5652173913
25132943149794.434782609-16851.4347826087
26174724246179.653846154-71455.6538461538
27174415165998.3333333338416.66666666666
28225548246179.653846154-20631.6538461538
29223632217124.086507.92000000001
30124817149794.434782609-24977.4347826087
31221698217124.084573.92000000001
32210767217124.08-6357.07999999999
33170266149794.43478260920471.5652173913
34260561246179.65384615414381.3461538462
358485384318.9245283019534.075471698117
36294424246179.65384615448244.3461538462
3710101184318.924528301916692.0754716981
38215641165998.33333333349642.6666666667
39325107246179.65384615478927.3461538462
40717619387.4-12211.4
41167542149794.43478260917747.5652173913
4210640884318.924528301922089.0754716981
4396560165998.333333333-69438.3333333333
44265769246179.65384615419589.3461538462
45269651321098.0625-51447.0625
46149112149794.434782609-682.434782608703
47175824165998.3333333339825.66666666666
48152871149794.4347826093076.5652173913
4911166584318.924528301927346.0754716981
50116408165998.333333333-49590.3333333333
51362301321098.062541202.9375
527880084318.9245283019-5518.92452830188
53183167217124.08-33957.08
54277965321098.0625-43133.0625
55150629217124.08-66495.08
56168809149794.43478260919014.5652173913
572418839424.1333333333-15236.1333333333
58329267246179.65384615483087.3461538462
5965029601474882
6010109784318.924528301916778.0754716981
61218946217124.081821.92000000001
62244052217124.0826927.92
63341570321098.062520471.9375
6410359784318.924528301919278.0754716981
65233328246179.653846154-12851.6538461538
66256462246179.65384615410282.3461538462
67206161217124.08-10963.08
68311473321098.0625-9625.0625
69235800246179.653846154-10379.6538461538
70177939165998.33333333311940.6666666667
71207176165998.33333333341177.6666666667
72196553149794.43478260946758.5652173913
73174184149794.43478260924389.5652173913
74143246149794.434782609-6548.4347826087
75187559246179.653846154-58620.6538461538
76187681217124.08-29443.08
77119016149794.434782609-30778.4347826087
78182192217124.08-34932.08
797356684318.9245283019-10752.9245283019
80194979165998.33333333328980.6666666667
81167488149794.43478260917693.5652173913
82143756149794.434782609-6038.4347826087
83275541217124.0858416.92
84243199246179.653846154-2980.65384615384
85182999149794.43478260933204.5652173913
86135649149794.434782609-14145.4347826087
87152299149794.4347826092504.5652173913
88120221149794.434782609-29573.4347826087
89346485321098.062525386.9375
90145790115413.62530376.375
91193339246179.653846154-52840.6538461538
9280953125386.181818182-44433.1818181818
93122774165998.333333333-43224.3333333333
94130585125386.1818181825198.81818181818
95112611125386.181818182-12775.1818181818
96286468321098.0625-34630.0625
97241066246179.653846154-5113.65384615384
98148446246179.653846154-97733.6538461538
99204713165998.33333333338714.6666666667
100182079217124.08-35045.08
101140344115413.62524930.375
102220516217124.083391.92000000001
103243060165998.33333333377061.6666666667
104162765149794.43478260912970.5652173913
105182613149794.43478260932818.5652173913
106232138217124.0815013.92
107265318321098.0625-55780.0625
10885574115413.625-29839.625
109310839321098.0625-10259.0625
110225060246179.653846154-21119.6538461538
111232317217124.0815192.92
112144966115413.62529552.375
1134328760147-16860
114155754165998.333333333-10244.3333333333
115164709149794.43478260914914.5652173913
116201940217124.08-15184.08
117235454217124.0818329.92
118220801165998.33333333354802.6666666667
1199946684318.924528301915147.0754716981
12092661115413.625-22752.625
121133328149794.434782609-16466.4347826087
1226136184318.9245283019-22957.9245283019
123125930165998.333333333-40068.3333333333
124100750149794.434782609-49044.4347826087
125224549149794.43478260974754.5652173913
1268231684318.9245283019-2002.92452830188
12710201084318.924528301917691.0754716981
128101523149794.434782609-48271.4347826087
129243511217124.0826386.92
1302293819387.43550.6
1314156660147-18581
132152474149794.4347826092679.5652173913
1336185739424.133333333322432.8666666667
13499923165998.333333333-66075.3333333333
135132487149794.434782609-17307.4347826087
136317394246179.65384615471214.3461538462
1372105419387.41666.6
138209641165998.33333333343642.6666666667
1392264860147-37499
1403141439424.1333333333-8010.13333333333
1414669860147-13449
142131698165998.333333333-34300.3333333333
1439173584318.92452830197416.07547169812
144244749246179.653846154-1430.65384615384
145184510149794.43478260934715.5652173913
14679863115413.625-35550.625
14712842384318.924528301944104.0754716981
1489783984318.924528301913520.0754716981
1493821439424.1333333333-1210.13333333333
150151101149794.4347826091306.5652173913
151272458217124.0855333.92
152172494125386.18181818247107.8181818182
153108043149794.434782609-41751.4347826087
154328107321098.06257008.9375
155250579246179.6538461544399.34615384616
156351067321098.062529968.9375
157158015125386.18181818232628.8181818182
1589886684318.924528301914547.0754716981
1598543984318.92452830191120.07547169812
160229242165998.33333333363243.6666666667
161351619321098.062530520.9375
1628420784318.9245283019-111.924528301883
163120445115413.6255031.375
164324598321098.06253499.9375
165131069149794.434782609-18725.4347826087
166204271149794.43478260954476.5652173913
167165543165998.333333333-455.333333333343
168141722115413.62526308.375
169116048125386.181818182-9338.18181818182
170250047165998.33333333384048.6666666667
171299775321098.0625-21323.0625
172195838217124.08-21286.08
173173260165998.3333333337261.66666666666
174254488246179.6538461548308.34615384616
175104389149794.434782609-45405.4347826087
176136084115413.62520670.375
177199476217124.08-17648.08
1789249984318.92452830198180.07547169812
179224330246179.653846154-21849.6538461538
180135781149794.434782609-14013.4347826087
18174408115413.625-41005.625
18281240149794.434782609-68554.4347826087
1831468819387.4-4699.4
184181633165998.33333333315634.6666666667
185271856246179.65384615425676.3461538462
186719919387.4-12188.4
1874666039424.13333333337235.86666666667
1881754719387.4-1840.4
189133368165998.333333333-32630.3333333333
1909522784318.924528301910908.0754716981
191152601149794.4347826092806.5652173913
1929814684318.924528301913827.0754716981
19379619149794.434782609-70175.4347826087
19459194115413.625-56219.625
195139942149794.434782609-9852.4347826087
196118612149794.434782609-31182.4347826087
1977288084318.9245283019-11438.9245283019
19865475601475328
19999643115413.625-15770.625
200719656014711818
201772726014717125
2024928939424.13333333339864.86666666667
203135131115413.62519717.375
204108446115413.625-6967.625
20589746115413.625-25667.625
2064429639424.13333333334871.86666666667
2077764884318.9245283019-6670.92452830188
208181528115413.62566114.375
209134019115413.62518605.375
210124064125386.181818182-1322.18181818182
2119263084318.92452830198311.07547169812
212121848115413.6256434.375
2135291560147-7232
214818726014721725
2155898184318.9245283019-25337.9245283019
2165351560147-6632
2176081284318.9245283019-23506.9245283019
2185637560147-3772
21965490601475343
220809496014720802
2217630284318.9245283019-8016.92452830188
222104011115413.625-11402.625
22398104165998.333333333-67894.3333333333
22467989601477842
2253098919387.411601.6
226135458165998.333333333-30540.3333333333
227735046014713357
2286312384318.9245283019-21195.9245283019
2296125484318.9245283019-23064.9245283019
23074914115413.625-40499.625
2313177460147-28373
2328143784318.9245283019-2881.92452830188
23387186115413.625-28227.625
2345009060147-10057
2356574584318.9245283019-18573.9245283019
2365665360147-3494
237158399115413.62542985.375
2384645560147-13692
2397362484318.9245283019-10694.9245283019
2403839560147-21752
2419189984318.92452830197580.07547169812
242139526165998.333333333-26472.3333333333
2435216460147-7983
2445156760147-8580
2457055184318.9245283019-13767.9245283019
2468485684318.9245283019537.075471698117
247102538165998.333333333-63460.3333333333
248866786014726531
2498570984318.92452830191390.07547169812
2503466239424.1333333333-4762.13333333333
251150580115413.62535166.375
2529961184318.924528301915292.0754716981
2531934919387.4-38.4000000000015
2549937384318.924528301915054.0754716981
2558623084318.92452830191911.07547169812
2563083739424.1333333333-8587.13333333333
2573170639424.1333333333-7718.13333333333
2588980684318.92452830195487.07547169812
25962088601471941
2604015139424.1333333333726.866666666669
2612763439424.1333333333-11790.1333333333
2627699084318.9245283019-7328.92452830188
2633746039424.1333333333-1964.13333333333
2645415760147-5990
2654986260147-10285
2668433784318.924528301918.0754716981173
2676417584318.9245283019-20143.9245283019
2685938260147-765
2691193086014759161
2707670284318.9245283019-7616.92452830188
271103425115413.625-11988.625
272703446014710197
2734341060147-16737
274104838125386.181818182-20548.1818181818
27562215601472068
2766930484318.9245283019-15014.9245283019
2775311760147-7030
2781976419387.4376.599999999999
2798668084318.92452830192361.07547169812
280841056014723958
2817794584318.9245283019-6373.92452830188
2828911384318.92452830194794.07547169812
2839100584318.92452830196686.07547169812
2844024839424.1333333333823.866666666669
28564187601474040
2865085784318.9245283019-33461.9245283019
2875661384318.9245283019-27705.9245283019
28862792601472645
2897253584318.9245283019-11783.9245283019

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 210907 & 149794.434782609 & 61112.5652173913 \tabularnewline
2 & 120982 & 125386.181818182 & -4404.18181818182 \tabularnewline
3 & 176508 & 149794.434782609 & 26713.5652173913 \tabularnewline
4 & 179321 & 246179.653846154 & -66858.6538461538 \tabularnewline
5 & 123185 & 125386.181818182 & -2201.18181818182 \tabularnewline
6 & 52746 & 39424.1333333333 & 13321.8666666667 \tabularnewline
7 & 385534 & 321098.0625 & 64435.9375 \tabularnewline
8 & 33170 & 19387.4 & 13782.6 \tabularnewline
9 & 101645 & 84318.9245283019 & 17326.0754716981 \tabularnewline
10 & 149061 & 149794.434782609 & -733.434782608703 \tabularnewline
11 & 165446 & 149794.434782609 & 15651.5652173913 \tabularnewline
12 & 237213 & 246179.653846154 & -8966.65384615384 \tabularnewline
13 & 173326 & 149794.434782609 & 23531.5652173913 \tabularnewline
14 & 133131 & 149794.434782609 & -16663.4347826087 \tabularnewline
15 & 258873 & 217124.08 & 41748.92 \tabularnewline
16 & 180083 & 149794.434782609 & 30288.5652173913 \tabularnewline
17 & 324799 & 321098.0625 & 3700.9375 \tabularnewline
18 & 230964 & 217124.08 & 13839.92 \tabularnewline
19 & 236785 & 246179.653846154 & -9394.65384615384 \tabularnewline
20 & 135473 & 125386.181818182 & 10086.8181818182 \tabularnewline
21 & 202925 & 217124.08 & -14199.08 \tabularnewline
22 & 215147 & 217124.08 & -1977.07999999999 \tabularnewline
23 & 344297 & 246179.653846154 & 98117.3461538462 \tabularnewline
24 & 153935 & 149794.434782609 & 4140.5652173913 \tabularnewline
25 & 132943 & 149794.434782609 & -16851.4347826087 \tabularnewline
26 & 174724 & 246179.653846154 & -71455.6538461538 \tabularnewline
27 & 174415 & 165998.333333333 & 8416.66666666666 \tabularnewline
28 & 225548 & 246179.653846154 & -20631.6538461538 \tabularnewline
29 & 223632 & 217124.08 & 6507.92000000001 \tabularnewline
30 & 124817 & 149794.434782609 & -24977.4347826087 \tabularnewline
31 & 221698 & 217124.08 & 4573.92000000001 \tabularnewline
32 & 210767 & 217124.08 & -6357.07999999999 \tabularnewline
33 & 170266 & 149794.434782609 & 20471.5652173913 \tabularnewline
34 & 260561 & 246179.653846154 & 14381.3461538462 \tabularnewline
35 & 84853 & 84318.9245283019 & 534.075471698117 \tabularnewline
36 & 294424 & 246179.653846154 & 48244.3461538462 \tabularnewline
37 & 101011 & 84318.9245283019 & 16692.0754716981 \tabularnewline
38 & 215641 & 165998.333333333 & 49642.6666666667 \tabularnewline
39 & 325107 & 246179.653846154 & 78927.3461538462 \tabularnewline
40 & 7176 & 19387.4 & -12211.4 \tabularnewline
41 & 167542 & 149794.434782609 & 17747.5652173913 \tabularnewline
42 & 106408 & 84318.9245283019 & 22089.0754716981 \tabularnewline
43 & 96560 & 165998.333333333 & -69438.3333333333 \tabularnewline
44 & 265769 & 246179.653846154 & 19589.3461538462 \tabularnewline
45 & 269651 & 321098.0625 & -51447.0625 \tabularnewline
46 & 149112 & 149794.434782609 & -682.434782608703 \tabularnewline
47 & 175824 & 165998.333333333 & 9825.66666666666 \tabularnewline
48 & 152871 & 149794.434782609 & 3076.5652173913 \tabularnewline
49 & 111665 & 84318.9245283019 & 27346.0754716981 \tabularnewline
50 & 116408 & 165998.333333333 & -49590.3333333333 \tabularnewline
51 & 362301 & 321098.0625 & 41202.9375 \tabularnewline
52 & 78800 & 84318.9245283019 & -5518.92452830188 \tabularnewline
53 & 183167 & 217124.08 & -33957.08 \tabularnewline
54 & 277965 & 321098.0625 & -43133.0625 \tabularnewline
55 & 150629 & 217124.08 & -66495.08 \tabularnewline
56 & 168809 & 149794.434782609 & 19014.5652173913 \tabularnewline
57 & 24188 & 39424.1333333333 & -15236.1333333333 \tabularnewline
58 & 329267 & 246179.653846154 & 83087.3461538462 \tabularnewline
59 & 65029 & 60147 & 4882 \tabularnewline
60 & 101097 & 84318.9245283019 & 16778.0754716981 \tabularnewline
61 & 218946 & 217124.08 & 1821.92000000001 \tabularnewline
62 & 244052 & 217124.08 & 26927.92 \tabularnewline
63 & 341570 & 321098.0625 & 20471.9375 \tabularnewline
64 & 103597 & 84318.9245283019 & 19278.0754716981 \tabularnewline
65 & 233328 & 246179.653846154 & -12851.6538461538 \tabularnewline
66 & 256462 & 246179.653846154 & 10282.3461538462 \tabularnewline
67 & 206161 & 217124.08 & -10963.08 \tabularnewline
68 & 311473 & 321098.0625 & -9625.0625 \tabularnewline
69 & 235800 & 246179.653846154 & -10379.6538461538 \tabularnewline
70 & 177939 & 165998.333333333 & 11940.6666666667 \tabularnewline
71 & 207176 & 165998.333333333 & 41177.6666666667 \tabularnewline
72 & 196553 & 149794.434782609 & 46758.5652173913 \tabularnewline
73 & 174184 & 149794.434782609 & 24389.5652173913 \tabularnewline
74 & 143246 & 149794.434782609 & -6548.4347826087 \tabularnewline
75 & 187559 & 246179.653846154 & -58620.6538461538 \tabularnewline
76 & 187681 & 217124.08 & -29443.08 \tabularnewline
77 & 119016 & 149794.434782609 & -30778.4347826087 \tabularnewline
78 & 182192 & 217124.08 & -34932.08 \tabularnewline
79 & 73566 & 84318.9245283019 & -10752.9245283019 \tabularnewline
80 & 194979 & 165998.333333333 & 28980.6666666667 \tabularnewline
81 & 167488 & 149794.434782609 & 17693.5652173913 \tabularnewline
82 & 143756 & 149794.434782609 & -6038.4347826087 \tabularnewline
83 & 275541 & 217124.08 & 58416.92 \tabularnewline
84 & 243199 & 246179.653846154 & -2980.65384615384 \tabularnewline
85 & 182999 & 149794.434782609 & 33204.5652173913 \tabularnewline
86 & 135649 & 149794.434782609 & -14145.4347826087 \tabularnewline
87 & 152299 & 149794.434782609 & 2504.5652173913 \tabularnewline
88 & 120221 & 149794.434782609 & -29573.4347826087 \tabularnewline
89 & 346485 & 321098.0625 & 25386.9375 \tabularnewline
90 & 145790 & 115413.625 & 30376.375 \tabularnewline
91 & 193339 & 246179.653846154 & -52840.6538461538 \tabularnewline
92 & 80953 & 125386.181818182 & -44433.1818181818 \tabularnewline
93 & 122774 & 165998.333333333 & -43224.3333333333 \tabularnewline
94 & 130585 & 125386.181818182 & 5198.81818181818 \tabularnewline
95 & 112611 & 125386.181818182 & -12775.1818181818 \tabularnewline
96 & 286468 & 321098.0625 & -34630.0625 \tabularnewline
97 & 241066 & 246179.653846154 & -5113.65384615384 \tabularnewline
98 & 148446 & 246179.653846154 & -97733.6538461538 \tabularnewline
99 & 204713 & 165998.333333333 & 38714.6666666667 \tabularnewline
100 & 182079 & 217124.08 & -35045.08 \tabularnewline
101 & 140344 & 115413.625 & 24930.375 \tabularnewline
102 & 220516 & 217124.08 & 3391.92000000001 \tabularnewline
103 & 243060 & 165998.333333333 & 77061.6666666667 \tabularnewline
104 & 162765 & 149794.434782609 & 12970.5652173913 \tabularnewline
105 & 182613 & 149794.434782609 & 32818.5652173913 \tabularnewline
106 & 232138 & 217124.08 & 15013.92 \tabularnewline
107 & 265318 & 321098.0625 & -55780.0625 \tabularnewline
108 & 85574 & 115413.625 & -29839.625 \tabularnewline
109 & 310839 & 321098.0625 & -10259.0625 \tabularnewline
110 & 225060 & 246179.653846154 & -21119.6538461538 \tabularnewline
111 & 232317 & 217124.08 & 15192.92 \tabularnewline
112 & 144966 & 115413.625 & 29552.375 \tabularnewline
113 & 43287 & 60147 & -16860 \tabularnewline
114 & 155754 & 165998.333333333 & -10244.3333333333 \tabularnewline
115 & 164709 & 149794.434782609 & 14914.5652173913 \tabularnewline
116 & 201940 & 217124.08 & -15184.08 \tabularnewline
117 & 235454 & 217124.08 & 18329.92 \tabularnewline
118 & 220801 & 165998.333333333 & 54802.6666666667 \tabularnewline
119 & 99466 & 84318.9245283019 & 15147.0754716981 \tabularnewline
120 & 92661 & 115413.625 & -22752.625 \tabularnewline
121 & 133328 & 149794.434782609 & -16466.4347826087 \tabularnewline
122 & 61361 & 84318.9245283019 & -22957.9245283019 \tabularnewline
123 & 125930 & 165998.333333333 & -40068.3333333333 \tabularnewline
124 & 100750 & 149794.434782609 & -49044.4347826087 \tabularnewline
125 & 224549 & 149794.434782609 & 74754.5652173913 \tabularnewline
126 & 82316 & 84318.9245283019 & -2002.92452830188 \tabularnewline
127 & 102010 & 84318.9245283019 & 17691.0754716981 \tabularnewline
128 & 101523 & 149794.434782609 & -48271.4347826087 \tabularnewline
129 & 243511 & 217124.08 & 26386.92 \tabularnewline
130 & 22938 & 19387.4 & 3550.6 \tabularnewline
131 & 41566 & 60147 & -18581 \tabularnewline
132 & 152474 & 149794.434782609 & 2679.5652173913 \tabularnewline
133 & 61857 & 39424.1333333333 & 22432.8666666667 \tabularnewline
134 & 99923 & 165998.333333333 & -66075.3333333333 \tabularnewline
135 & 132487 & 149794.434782609 & -17307.4347826087 \tabularnewline
136 & 317394 & 246179.653846154 & 71214.3461538462 \tabularnewline
137 & 21054 & 19387.4 & 1666.6 \tabularnewline
138 & 209641 & 165998.333333333 & 43642.6666666667 \tabularnewline
139 & 22648 & 60147 & -37499 \tabularnewline
140 & 31414 & 39424.1333333333 & -8010.13333333333 \tabularnewline
141 & 46698 & 60147 & -13449 \tabularnewline
142 & 131698 & 165998.333333333 & -34300.3333333333 \tabularnewline
143 & 91735 & 84318.9245283019 & 7416.07547169812 \tabularnewline
144 & 244749 & 246179.653846154 & -1430.65384615384 \tabularnewline
145 & 184510 & 149794.434782609 & 34715.5652173913 \tabularnewline
146 & 79863 & 115413.625 & -35550.625 \tabularnewline
147 & 128423 & 84318.9245283019 & 44104.0754716981 \tabularnewline
148 & 97839 & 84318.9245283019 & 13520.0754716981 \tabularnewline
149 & 38214 & 39424.1333333333 & -1210.13333333333 \tabularnewline
150 & 151101 & 149794.434782609 & 1306.5652173913 \tabularnewline
151 & 272458 & 217124.08 & 55333.92 \tabularnewline
152 & 172494 & 125386.181818182 & 47107.8181818182 \tabularnewline
153 & 108043 & 149794.434782609 & -41751.4347826087 \tabularnewline
154 & 328107 & 321098.0625 & 7008.9375 \tabularnewline
155 & 250579 & 246179.653846154 & 4399.34615384616 \tabularnewline
156 & 351067 & 321098.0625 & 29968.9375 \tabularnewline
157 & 158015 & 125386.181818182 & 32628.8181818182 \tabularnewline
158 & 98866 & 84318.9245283019 & 14547.0754716981 \tabularnewline
159 & 85439 & 84318.9245283019 & 1120.07547169812 \tabularnewline
160 & 229242 & 165998.333333333 & 63243.6666666667 \tabularnewline
161 & 351619 & 321098.0625 & 30520.9375 \tabularnewline
162 & 84207 & 84318.9245283019 & -111.924528301883 \tabularnewline
163 & 120445 & 115413.625 & 5031.375 \tabularnewline
164 & 324598 & 321098.0625 & 3499.9375 \tabularnewline
165 & 131069 & 149794.434782609 & -18725.4347826087 \tabularnewline
166 & 204271 & 149794.434782609 & 54476.5652173913 \tabularnewline
167 & 165543 & 165998.333333333 & -455.333333333343 \tabularnewline
168 & 141722 & 115413.625 & 26308.375 \tabularnewline
169 & 116048 & 125386.181818182 & -9338.18181818182 \tabularnewline
170 & 250047 & 165998.333333333 & 84048.6666666667 \tabularnewline
171 & 299775 & 321098.0625 & -21323.0625 \tabularnewline
172 & 195838 & 217124.08 & -21286.08 \tabularnewline
173 & 173260 & 165998.333333333 & 7261.66666666666 \tabularnewline
174 & 254488 & 246179.653846154 & 8308.34615384616 \tabularnewline
175 & 104389 & 149794.434782609 & -45405.4347826087 \tabularnewline
176 & 136084 & 115413.625 & 20670.375 \tabularnewline
177 & 199476 & 217124.08 & -17648.08 \tabularnewline
178 & 92499 & 84318.9245283019 & 8180.07547169812 \tabularnewline
179 & 224330 & 246179.653846154 & -21849.6538461538 \tabularnewline
180 & 135781 & 149794.434782609 & -14013.4347826087 \tabularnewline
181 & 74408 & 115413.625 & -41005.625 \tabularnewline
182 & 81240 & 149794.434782609 & -68554.4347826087 \tabularnewline
183 & 14688 & 19387.4 & -4699.4 \tabularnewline
184 & 181633 & 165998.333333333 & 15634.6666666667 \tabularnewline
185 & 271856 & 246179.653846154 & 25676.3461538462 \tabularnewline
186 & 7199 & 19387.4 & -12188.4 \tabularnewline
187 & 46660 & 39424.1333333333 & 7235.86666666667 \tabularnewline
188 & 17547 & 19387.4 & -1840.4 \tabularnewline
189 & 133368 & 165998.333333333 & -32630.3333333333 \tabularnewline
190 & 95227 & 84318.9245283019 & 10908.0754716981 \tabularnewline
191 & 152601 & 149794.434782609 & 2806.5652173913 \tabularnewline
192 & 98146 & 84318.9245283019 & 13827.0754716981 \tabularnewline
193 & 79619 & 149794.434782609 & -70175.4347826087 \tabularnewline
194 & 59194 & 115413.625 & -56219.625 \tabularnewline
195 & 139942 & 149794.434782609 & -9852.4347826087 \tabularnewline
196 & 118612 & 149794.434782609 & -31182.4347826087 \tabularnewline
197 & 72880 & 84318.9245283019 & -11438.9245283019 \tabularnewline
198 & 65475 & 60147 & 5328 \tabularnewline
199 & 99643 & 115413.625 & -15770.625 \tabularnewline
200 & 71965 & 60147 & 11818 \tabularnewline
201 & 77272 & 60147 & 17125 \tabularnewline
202 & 49289 & 39424.1333333333 & 9864.86666666667 \tabularnewline
203 & 135131 & 115413.625 & 19717.375 \tabularnewline
204 & 108446 & 115413.625 & -6967.625 \tabularnewline
205 & 89746 & 115413.625 & -25667.625 \tabularnewline
206 & 44296 & 39424.1333333333 & 4871.86666666667 \tabularnewline
207 & 77648 & 84318.9245283019 & -6670.92452830188 \tabularnewline
208 & 181528 & 115413.625 & 66114.375 \tabularnewline
209 & 134019 & 115413.625 & 18605.375 \tabularnewline
210 & 124064 & 125386.181818182 & -1322.18181818182 \tabularnewline
211 & 92630 & 84318.9245283019 & 8311.07547169812 \tabularnewline
212 & 121848 & 115413.625 & 6434.375 \tabularnewline
213 & 52915 & 60147 & -7232 \tabularnewline
214 & 81872 & 60147 & 21725 \tabularnewline
215 & 58981 & 84318.9245283019 & -25337.9245283019 \tabularnewline
216 & 53515 & 60147 & -6632 \tabularnewline
217 & 60812 & 84318.9245283019 & -23506.9245283019 \tabularnewline
218 & 56375 & 60147 & -3772 \tabularnewline
219 & 65490 & 60147 & 5343 \tabularnewline
220 & 80949 & 60147 & 20802 \tabularnewline
221 & 76302 & 84318.9245283019 & -8016.92452830188 \tabularnewline
222 & 104011 & 115413.625 & -11402.625 \tabularnewline
223 & 98104 & 165998.333333333 & -67894.3333333333 \tabularnewline
224 & 67989 & 60147 & 7842 \tabularnewline
225 & 30989 & 19387.4 & 11601.6 \tabularnewline
226 & 135458 & 165998.333333333 & -30540.3333333333 \tabularnewline
227 & 73504 & 60147 & 13357 \tabularnewline
228 & 63123 & 84318.9245283019 & -21195.9245283019 \tabularnewline
229 & 61254 & 84318.9245283019 & -23064.9245283019 \tabularnewline
230 & 74914 & 115413.625 & -40499.625 \tabularnewline
231 & 31774 & 60147 & -28373 \tabularnewline
232 & 81437 & 84318.9245283019 & -2881.92452830188 \tabularnewline
233 & 87186 & 115413.625 & -28227.625 \tabularnewline
234 & 50090 & 60147 & -10057 \tabularnewline
235 & 65745 & 84318.9245283019 & -18573.9245283019 \tabularnewline
236 & 56653 & 60147 & -3494 \tabularnewline
237 & 158399 & 115413.625 & 42985.375 \tabularnewline
238 & 46455 & 60147 & -13692 \tabularnewline
239 & 73624 & 84318.9245283019 & -10694.9245283019 \tabularnewline
240 & 38395 & 60147 & -21752 \tabularnewline
241 & 91899 & 84318.9245283019 & 7580.07547169812 \tabularnewline
242 & 139526 & 165998.333333333 & -26472.3333333333 \tabularnewline
243 & 52164 & 60147 & -7983 \tabularnewline
244 & 51567 & 60147 & -8580 \tabularnewline
245 & 70551 & 84318.9245283019 & -13767.9245283019 \tabularnewline
246 & 84856 & 84318.9245283019 & 537.075471698117 \tabularnewline
247 & 102538 & 165998.333333333 & -63460.3333333333 \tabularnewline
248 & 86678 & 60147 & 26531 \tabularnewline
249 & 85709 & 84318.9245283019 & 1390.07547169812 \tabularnewline
250 & 34662 & 39424.1333333333 & -4762.13333333333 \tabularnewline
251 & 150580 & 115413.625 & 35166.375 \tabularnewline
252 & 99611 & 84318.9245283019 & 15292.0754716981 \tabularnewline
253 & 19349 & 19387.4 & -38.4000000000015 \tabularnewline
254 & 99373 & 84318.9245283019 & 15054.0754716981 \tabularnewline
255 & 86230 & 84318.9245283019 & 1911.07547169812 \tabularnewline
256 & 30837 & 39424.1333333333 & -8587.13333333333 \tabularnewline
257 & 31706 & 39424.1333333333 & -7718.13333333333 \tabularnewline
258 & 89806 & 84318.9245283019 & 5487.07547169812 \tabularnewline
259 & 62088 & 60147 & 1941 \tabularnewline
260 & 40151 & 39424.1333333333 & 726.866666666669 \tabularnewline
261 & 27634 & 39424.1333333333 & -11790.1333333333 \tabularnewline
262 & 76990 & 84318.9245283019 & -7328.92452830188 \tabularnewline
263 & 37460 & 39424.1333333333 & -1964.13333333333 \tabularnewline
264 & 54157 & 60147 & -5990 \tabularnewline
265 & 49862 & 60147 & -10285 \tabularnewline
266 & 84337 & 84318.9245283019 & 18.0754716981173 \tabularnewline
267 & 64175 & 84318.9245283019 & -20143.9245283019 \tabularnewline
268 & 59382 & 60147 & -765 \tabularnewline
269 & 119308 & 60147 & 59161 \tabularnewline
270 & 76702 & 84318.9245283019 & -7616.92452830188 \tabularnewline
271 & 103425 & 115413.625 & -11988.625 \tabularnewline
272 & 70344 & 60147 & 10197 \tabularnewline
273 & 43410 & 60147 & -16737 \tabularnewline
274 & 104838 & 125386.181818182 & -20548.1818181818 \tabularnewline
275 & 62215 & 60147 & 2068 \tabularnewline
276 & 69304 & 84318.9245283019 & -15014.9245283019 \tabularnewline
277 & 53117 & 60147 & -7030 \tabularnewline
278 & 19764 & 19387.4 & 376.599999999999 \tabularnewline
279 & 86680 & 84318.9245283019 & 2361.07547169812 \tabularnewline
280 & 84105 & 60147 & 23958 \tabularnewline
281 & 77945 & 84318.9245283019 & -6373.92452830188 \tabularnewline
282 & 89113 & 84318.9245283019 & 4794.07547169812 \tabularnewline
283 & 91005 & 84318.9245283019 & 6686.07547169812 \tabularnewline
284 & 40248 & 39424.1333333333 & 823.866666666669 \tabularnewline
285 & 64187 & 60147 & 4040 \tabularnewline
286 & 50857 & 84318.9245283019 & -33461.9245283019 \tabularnewline
287 & 56613 & 84318.9245283019 & -27705.9245283019 \tabularnewline
288 & 62792 & 60147 & 2645 \tabularnewline
289 & 72535 & 84318.9245283019 & -11783.9245283019 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154142&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]149794.434782609[/C][C]61112.5652173913[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]125386.181818182[/C][C]-4404.18181818182[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]149794.434782609[/C][C]26713.5652173913[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]246179.653846154[/C][C]-66858.6538461538[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]125386.181818182[/C][C]-2201.18181818182[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]39424.1333333333[/C][C]13321.8666666667[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]321098.0625[/C][C]64435.9375[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]19387.4[/C][C]13782.6[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]84318.9245283019[/C][C]17326.0754716981[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]149794.434782609[/C][C]-733.434782608703[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]149794.434782609[/C][C]15651.5652173913[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]246179.653846154[/C][C]-8966.65384615384[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]149794.434782609[/C][C]23531.5652173913[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]149794.434782609[/C][C]-16663.4347826087[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]217124.08[/C][C]41748.92[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]149794.434782609[/C][C]30288.5652173913[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]321098.0625[/C][C]3700.9375[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]217124.08[/C][C]13839.92[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]246179.653846154[/C][C]-9394.65384615384[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]125386.181818182[/C][C]10086.8181818182[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]217124.08[/C][C]-14199.08[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]217124.08[/C][C]-1977.07999999999[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]246179.653846154[/C][C]98117.3461538462[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]149794.434782609[/C][C]4140.5652173913[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]149794.434782609[/C][C]-16851.4347826087[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]246179.653846154[/C][C]-71455.6538461538[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]165998.333333333[/C][C]8416.66666666666[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]246179.653846154[/C][C]-20631.6538461538[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]217124.08[/C][C]6507.92000000001[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]149794.434782609[/C][C]-24977.4347826087[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]217124.08[/C][C]4573.92000000001[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]217124.08[/C][C]-6357.07999999999[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]149794.434782609[/C][C]20471.5652173913[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]246179.653846154[/C][C]14381.3461538462[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]84318.9245283019[/C][C]534.075471698117[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]246179.653846154[/C][C]48244.3461538462[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]84318.9245283019[/C][C]16692.0754716981[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]165998.333333333[/C][C]49642.6666666667[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]246179.653846154[/C][C]78927.3461538462[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]19387.4[/C][C]-12211.4[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]149794.434782609[/C][C]17747.5652173913[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]84318.9245283019[/C][C]22089.0754716981[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]165998.333333333[/C][C]-69438.3333333333[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]246179.653846154[/C][C]19589.3461538462[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]321098.0625[/C][C]-51447.0625[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]149794.434782609[/C][C]-682.434782608703[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]165998.333333333[/C][C]9825.66666666666[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]149794.434782609[/C][C]3076.5652173913[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]84318.9245283019[/C][C]27346.0754716981[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]165998.333333333[/C][C]-49590.3333333333[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]321098.0625[/C][C]41202.9375[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]84318.9245283019[/C][C]-5518.92452830188[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]217124.08[/C][C]-33957.08[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]321098.0625[/C][C]-43133.0625[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]217124.08[/C][C]-66495.08[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]149794.434782609[/C][C]19014.5652173913[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]39424.1333333333[/C][C]-15236.1333333333[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]246179.653846154[/C][C]83087.3461538462[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]60147[/C][C]4882[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]84318.9245283019[/C][C]16778.0754716981[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]217124.08[/C][C]1821.92000000001[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]217124.08[/C][C]26927.92[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]321098.0625[/C][C]20471.9375[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]84318.9245283019[/C][C]19278.0754716981[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]246179.653846154[/C][C]-12851.6538461538[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]246179.653846154[/C][C]10282.3461538462[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]217124.08[/C][C]-10963.08[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]321098.0625[/C][C]-9625.0625[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]246179.653846154[/C][C]-10379.6538461538[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]165998.333333333[/C][C]11940.6666666667[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]165998.333333333[/C][C]41177.6666666667[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]149794.434782609[/C][C]46758.5652173913[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]149794.434782609[/C][C]24389.5652173913[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]149794.434782609[/C][C]-6548.4347826087[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]246179.653846154[/C][C]-58620.6538461538[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]217124.08[/C][C]-29443.08[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]149794.434782609[/C][C]-30778.4347826087[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]217124.08[/C][C]-34932.08[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]84318.9245283019[/C][C]-10752.9245283019[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]165998.333333333[/C][C]28980.6666666667[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]149794.434782609[/C][C]17693.5652173913[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]149794.434782609[/C][C]-6038.4347826087[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]217124.08[/C][C]58416.92[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]246179.653846154[/C][C]-2980.65384615384[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]149794.434782609[/C][C]33204.5652173913[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]149794.434782609[/C][C]-14145.4347826087[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]149794.434782609[/C][C]2504.5652173913[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]149794.434782609[/C][C]-29573.4347826087[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]321098.0625[/C][C]25386.9375[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]115413.625[/C][C]30376.375[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]246179.653846154[/C][C]-52840.6538461538[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]125386.181818182[/C][C]-44433.1818181818[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]165998.333333333[/C][C]-43224.3333333333[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]125386.181818182[/C][C]5198.81818181818[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]125386.181818182[/C][C]-12775.1818181818[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]321098.0625[/C][C]-34630.0625[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]246179.653846154[/C][C]-5113.65384615384[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]246179.653846154[/C][C]-97733.6538461538[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]165998.333333333[/C][C]38714.6666666667[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]217124.08[/C][C]-35045.08[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]115413.625[/C][C]24930.375[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]217124.08[/C][C]3391.92000000001[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]165998.333333333[/C][C]77061.6666666667[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]149794.434782609[/C][C]12970.5652173913[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]149794.434782609[/C][C]32818.5652173913[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]217124.08[/C][C]15013.92[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]321098.0625[/C][C]-55780.0625[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]115413.625[/C][C]-29839.625[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]321098.0625[/C][C]-10259.0625[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]246179.653846154[/C][C]-21119.6538461538[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]217124.08[/C][C]15192.92[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]115413.625[/C][C]29552.375[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]60147[/C][C]-16860[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]165998.333333333[/C][C]-10244.3333333333[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]149794.434782609[/C][C]14914.5652173913[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]217124.08[/C][C]-15184.08[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]217124.08[/C][C]18329.92[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]165998.333333333[/C][C]54802.6666666667[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]84318.9245283019[/C][C]15147.0754716981[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]115413.625[/C][C]-22752.625[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]149794.434782609[/C][C]-16466.4347826087[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]84318.9245283019[/C][C]-22957.9245283019[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]165998.333333333[/C][C]-40068.3333333333[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]149794.434782609[/C][C]-49044.4347826087[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]149794.434782609[/C][C]74754.5652173913[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]84318.9245283019[/C][C]-2002.92452830188[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]84318.9245283019[/C][C]17691.0754716981[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]149794.434782609[/C][C]-48271.4347826087[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]217124.08[/C][C]26386.92[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]19387.4[/C][C]3550.6[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]60147[/C][C]-18581[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]149794.434782609[/C][C]2679.5652173913[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]39424.1333333333[/C][C]22432.8666666667[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]165998.333333333[/C][C]-66075.3333333333[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]149794.434782609[/C][C]-17307.4347826087[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]246179.653846154[/C][C]71214.3461538462[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]19387.4[/C][C]1666.6[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]165998.333333333[/C][C]43642.6666666667[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]60147[/C][C]-37499[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]39424.1333333333[/C][C]-8010.13333333333[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]60147[/C][C]-13449[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]165998.333333333[/C][C]-34300.3333333333[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]84318.9245283019[/C][C]7416.07547169812[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]246179.653846154[/C][C]-1430.65384615384[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]149794.434782609[/C][C]34715.5652173913[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]115413.625[/C][C]-35550.625[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]84318.9245283019[/C][C]44104.0754716981[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]84318.9245283019[/C][C]13520.0754716981[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]39424.1333333333[/C][C]-1210.13333333333[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]149794.434782609[/C][C]1306.5652173913[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]217124.08[/C][C]55333.92[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]125386.181818182[/C][C]47107.8181818182[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]149794.434782609[/C][C]-41751.4347826087[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]321098.0625[/C][C]7008.9375[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]246179.653846154[/C][C]4399.34615384616[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]321098.0625[/C][C]29968.9375[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]125386.181818182[/C][C]32628.8181818182[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]84318.9245283019[/C][C]14547.0754716981[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]84318.9245283019[/C][C]1120.07547169812[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]165998.333333333[/C][C]63243.6666666667[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]321098.0625[/C][C]30520.9375[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]84318.9245283019[/C][C]-111.924528301883[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]115413.625[/C][C]5031.375[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]321098.0625[/C][C]3499.9375[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]149794.434782609[/C][C]-18725.4347826087[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]149794.434782609[/C][C]54476.5652173913[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]165998.333333333[/C][C]-455.333333333343[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]115413.625[/C][C]26308.375[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]125386.181818182[/C][C]-9338.18181818182[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]165998.333333333[/C][C]84048.6666666667[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]321098.0625[/C][C]-21323.0625[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]217124.08[/C][C]-21286.08[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]165998.333333333[/C][C]7261.66666666666[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]246179.653846154[/C][C]8308.34615384616[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]149794.434782609[/C][C]-45405.4347826087[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]115413.625[/C][C]20670.375[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]217124.08[/C][C]-17648.08[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]84318.9245283019[/C][C]8180.07547169812[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]246179.653846154[/C][C]-21849.6538461538[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]149794.434782609[/C][C]-14013.4347826087[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]115413.625[/C][C]-41005.625[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]149794.434782609[/C][C]-68554.4347826087[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]19387.4[/C][C]-4699.4[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]165998.333333333[/C][C]15634.6666666667[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]246179.653846154[/C][C]25676.3461538462[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]19387.4[/C][C]-12188.4[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]39424.1333333333[/C][C]7235.86666666667[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]19387.4[/C][C]-1840.4[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]165998.333333333[/C][C]-32630.3333333333[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]84318.9245283019[/C][C]10908.0754716981[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]149794.434782609[/C][C]2806.5652173913[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]84318.9245283019[/C][C]13827.0754716981[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]149794.434782609[/C][C]-70175.4347826087[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]115413.625[/C][C]-56219.625[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]149794.434782609[/C][C]-9852.4347826087[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]149794.434782609[/C][C]-31182.4347826087[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]84318.9245283019[/C][C]-11438.9245283019[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]60147[/C][C]5328[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]115413.625[/C][C]-15770.625[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]60147[/C][C]11818[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]60147[/C][C]17125[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]39424.1333333333[/C][C]9864.86666666667[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]115413.625[/C][C]19717.375[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]115413.625[/C][C]-6967.625[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]115413.625[/C][C]-25667.625[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]39424.1333333333[/C][C]4871.86666666667[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]84318.9245283019[/C][C]-6670.92452830188[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]115413.625[/C][C]66114.375[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]115413.625[/C][C]18605.375[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]125386.181818182[/C][C]-1322.18181818182[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]84318.9245283019[/C][C]8311.07547169812[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]115413.625[/C][C]6434.375[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]60147[/C][C]-7232[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]60147[/C][C]21725[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]84318.9245283019[/C][C]-25337.9245283019[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]60147[/C][C]-6632[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]84318.9245283019[/C][C]-23506.9245283019[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]60147[/C][C]-3772[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]60147[/C][C]5343[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]60147[/C][C]20802[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]84318.9245283019[/C][C]-8016.92452830188[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]115413.625[/C][C]-11402.625[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]165998.333333333[/C][C]-67894.3333333333[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]60147[/C][C]7842[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]19387.4[/C][C]11601.6[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]165998.333333333[/C][C]-30540.3333333333[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]60147[/C][C]13357[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]84318.9245283019[/C][C]-21195.9245283019[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]84318.9245283019[/C][C]-23064.9245283019[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]115413.625[/C][C]-40499.625[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]60147[/C][C]-28373[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]84318.9245283019[/C][C]-2881.92452830188[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]115413.625[/C][C]-28227.625[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]60147[/C][C]-10057[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]84318.9245283019[/C][C]-18573.9245283019[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]60147[/C][C]-3494[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]115413.625[/C][C]42985.375[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]60147[/C][C]-13692[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]84318.9245283019[/C][C]-10694.9245283019[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]60147[/C][C]-21752[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]84318.9245283019[/C][C]7580.07547169812[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]165998.333333333[/C][C]-26472.3333333333[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]60147[/C][C]-7983[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]60147[/C][C]-8580[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]84318.9245283019[/C][C]-13767.9245283019[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]84318.9245283019[/C][C]537.075471698117[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]165998.333333333[/C][C]-63460.3333333333[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]60147[/C][C]26531[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]84318.9245283019[/C][C]1390.07547169812[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]39424.1333333333[/C][C]-4762.13333333333[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]115413.625[/C][C]35166.375[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]84318.9245283019[/C][C]15292.0754716981[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]19387.4[/C][C]-38.4000000000015[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]84318.9245283019[/C][C]15054.0754716981[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]84318.9245283019[/C][C]1911.07547169812[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]39424.1333333333[/C][C]-8587.13333333333[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]39424.1333333333[/C][C]-7718.13333333333[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]84318.9245283019[/C][C]5487.07547169812[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]60147[/C][C]1941[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]39424.1333333333[/C][C]726.866666666669[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]39424.1333333333[/C][C]-11790.1333333333[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]84318.9245283019[/C][C]-7328.92452830188[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]39424.1333333333[/C][C]-1964.13333333333[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]60147[/C][C]-5990[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]60147[/C][C]-10285[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]84318.9245283019[/C][C]18.0754716981173[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]84318.9245283019[/C][C]-20143.9245283019[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]60147[/C][C]-765[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]60147[/C][C]59161[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]84318.9245283019[/C][C]-7616.92452830188[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]115413.625[/C][C]-11988.625[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]60147[/C][C]10197[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]60147[/C][C]-16737[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]125386.181818182[/C][C]-20548.1818181818[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]60147[/C][C]2068[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]84318.9245283019[/C][C]-15014.9245283019[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]60147[/C][C]-7030[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]19387.4[/C][C]376.599999999999[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]84318.9245283019[/C][C]2361.07547169812[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]60147[/C][C]23958[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]84318.9245283019[/C][C]-6373.92452830188[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]84318.9245283019[/C][C]4794.07547169812[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]84318.9245283019[/C][C]6686.07547169812[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]39424.1333333333[/C][C]823.866666666669[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]60147[/C][C]4040[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]84318.9245283019[/C][C]-33461.9245283019[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]84318.9245283019[/C][C]-27705.9245283019[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]60147[/C][C]2645[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]84318.9245283019[/C][C]-11783.9245283019[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154142&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154142&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
1210907149794.43478260961112.5652173913
2120982125386.181818182-4404.18181818182
3176508149794.43478260926713.5652173913
4179321246179.653846154-66858.6538461538
5123185125386.181818182-2201.18181818182
65274639424.133333333313321.8666666667
7385534321098.062564435.9375
83317019387.413782.6
910164584318.924528301917326.0754716981
10149061149794.434782609-733.434782608703
11165446149794.43478260915651.5652173913
12237213246179.653846154-8966.65384615384
13173326149794.43478260923531.5652173913
14133131149794.434782609-16663.4347826087
15258873217124.0841748.92
16180083149794.43478260930288.5652173913
17324799321098.06253700.9375
18230964217124.0813839.92
19236785246179.653846154-9394.65384615384
20135473125386.18181818210086.8181818182
21202925217124.08-14199.08
22215147217124.08-1977.07999999999
23344297246179.65384615498117.3461538462
24153935149794.4347826094140.5652173913
25132943149794.434782609-16851.4347826087
26174724246179.653846154-71455.6538461538
27174415165998.3333333338416.66666666666
28225548246179.653846154-20631.6538461538
29223632217124.086507.92000000001
30124817149794.434782609-24977.4347826087
31221698217124.084573.92000000001
32210767217124.08-6357.07999999999
33170266149794.43478260920471.5652173913
34260561246179.65384615414381.3461538462
358485384318.9245283019534.075471698117
36294424246179.65384615448244.3461538462
3710101184318.924528301916692.0754716981
38215641165998.33333333349642.6666666667
39325107246179.65384615478927.3461538462
40717619387.4-12211.4
41167542149794.43478260917747.5652173913
4210640884318.924528301922089.0754716981
4396560165998.333333333-69438.3333333333
44265769246179.65384615419589.3461538462
45269651321098.0625-51447.0625
46149112149794.434782609-682.434782608703
47175824165998.3333333339825.66666666666
48152871149794.4347826093076.5652173913
4911166584318.924528301927346.0754716981
50116408165998.333333333-49590.3333333333
51362301321098.062541202.9375
527880084318.9245283019-5518.92452830188
53183167217124.08-33957.08
54277965321098.0625-43133.0625
55150629217124.08-66495.08
56168809149794.43478260919014.5652173913
572418839424.1333333333-15236.1333333333
58329267246179.65384615483087.3461538462
5965029601474882
6010109784318.924528301916778.0754716981
61218946217124.081821.92000000001
62244052217124.0826927.92
63341570321098.062520471.9375
6410359784318.924528301919278.0754716981
65233328246179.653846154-12851.6538461538
66256462246179.65384615410282.3461538462
67206161217124.08-10963.08
68311473321098.0625-9625.0625
69235800246179.653846154-10379.6538461538
70177939165998.33333333311940.6666666667
71207176165998.33333333341177.6666666667
72196553149794.43478260946758.5652173913
73174184149794.43478260924389.5652173913
74143246149794.434782609-6548.4347826087
75187559246179.653846154-58620.6538461538
76187681217124.08-29443.08
77119016149794.434782609-30778.4347826087
78182192217124.08-34932.08
797356684318.9245283019-10752.9245283019
80194979165998.33333333328980.6666666667
81167488149794.43478260917693.5652173913
82143756149794.434782609-6038.4347826087
83275541217124.0858416.92
84243199246179.653846154-2980.65384615384
85182999149794.43478260933204.5652173913
86135649149794.434782609-14145.4347826087
87152299149794.4347826092504.5652173913
88120221149794.434782609-29573.4347826087
89346485321098.062525386.9375
90145790115413.62530376.375
91193339246179.653846154-52840.6538461538
9280953125386.181818182-44433.1818181818
93122774165998.333333333-43224.3333333333
94130585125386.1818181825198.81818181818
95112611125386.181818182-12775.1818181818
96286468321098.0625-34630.0625
97241066246179.653846154-5113.65384615384
98148446246179.653846154-97733.6538461538
99204713165998.33333333338714.6666666667
100182079217124.08-35045.08
101140344115413.62524930.375
102220516217124.083391.92000000001
103243060165998.33333333377061.6666666667
104162765149794.43478260912970.5652173913
105182613149794.43478260932818.5652173913
106232138217124.0815013.92
107265318321098.0625-55780.0625
10885574115413.625-29839.625
109310839321098.0625-10259.0625
110225060246179.653846154-21119.6538461538
111232317217124.0815192.92
112144966115413.62529552.375
1134328760147-16860
114155754165998.333333333-10244.3333333333
115164709149794.43478260914914.5652173913
116201940217124.08-15184.08
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Parameters (Session):
par1 = 1 ; par2 = none ; par3 = 5 ; par4 = no ;
Parameters (R input):
par1 = 1 ; par2 = none ; par3 = 5 ; 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')
}