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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_regression_trees1.wasp
Title produced by softwareRecursive Partitioning (Regression Trees)
Date of computationSun, 08 Dec 2013 15:42:11 -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/2013/Dec/08/t13865353528xv7nt8dmz5tyo9.htm/, Retrieved Thu, 25 Apr 2024 21:09:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231518, Retrieved Thu, 25 Apr 2024 21:09:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80
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]
-   PD  [Recursive Partitioning (Regression Trees)] [] [2011-12-15 18:38:30] [0cacbd6f25ea662f229a505efea21410]
- R         [Recursive Partitioning (Regression Trees)] [Ws 10 - Hall of fame] [2013-12-08 20:42:11] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
210907	1418	56	79	30	112285	144
120982	869	56	58	28	84786	103
176508	1530	54	60	38	83123	98
179321	2172	89	108	30	101193	135
123185	901	40	49	22	38361	61
52746	463	25	0	26	68504	39
385534	3201	92	121	25	119182	150
33170	371	18	1	18	22807	5
101645	1192	63	20	11	17140	28
149061	1583	44	43	26	116174	84
165446	1439	33	69	25	57635	80
237213	1764	84	78	38	66198	130
173326	1495	88	86	44	71701	82
133131	1373	55	44	30	57793	60
258873	2187	60	104	40	80444	131
180083	1491	66	63	34	53855	84
324799	4041	154	158	47	97668	140
230964	1706	53	102	30	133824	151
236785	2152	119	77	31	101481	91
135473	1036	41	82	23	99645	138
202925	1882	61	115	36	114789	150
215147	1929	58	101	36	99052	124
344297	2242	75	80	30	67654	119
153935	1220	33	50	25	65553	73
132943	1289	40	83	39	97500	110
174724	2515	92	123	34	69112	123
174415	2147	100	73	31	82753	90
225548	2352	112	81	31	85323	116
223632	1638	73	105	33	72654	113
124817	1222	40	47	25	30727	56
221698	1812	45	105	33	77873	115
210767	1677	60	94	35	117478	119
170266	1579	62	44	42	74007	129
260561	1731	75	114	43	90183	127
84853	807	31	38	30	61542	27
294424	2452	77	107	33	101494	175
101011	829	34	30	13	27570	35
215641	1940	46	71	32	55813	64
325107	2662	99	84	36	79215	96
7176	186	17	0	0	1423	0
167542	1499	66	59	28	55461	84
106408	865	30	33	14	31081	41
96560	1793	76	42	17	22996	47
265769	2527	146	96	32	83122	126
269651	2747	67	106	30	70106	105
149112	1324	56	56	35	60578	80
175824	2702	107	57	20	39992	70
152871	1383	58	59	28	79892	73
111665	1179	34	39	28	49810	57
116408	2099	61	34	39	71570	40
362301	4308	119	76	34	100708	68
78800	918	42	20	26	33032	21
183167	1831	66	91	39	82875	127
277965	3373	89	115	39	139077	154
150629	1713	44	85	33	71595	116
168809	1438	66	76	28	72260	102
24188	496	24	8	4	5950	7
329267	2253	259	79	39	115762	148
65029	744	17	21	18	32551	21
101097	1161	64	30	14	31701	35
218946	2352	41	76	29	80670	112
244052	2144	68	101	44	143558	137
341570	4691	168	94	21	117105	135
103597	1112	43	27	16	23789	26
233328	2694	132	92	28	120733	230
256462	1973	105	123	35	105195	181
206161	1769	71	75	28	73107	71
311473	3148	112	128	38	132068	147
235800	2474	94	105	23	149193	190
177939	2084	82	55	36	46821	64
207176	1954	70	56	32	87011	105
196553	1226	57	41	29	95260	107
174184	1389	53	72	25	55183	94
143246	1496	103	67	27	106671	116
187559	2269	121	75	36	73511	106
187681	1833	62	114	28	92945	143
119016	1268	52	118	23	78664	81
182192	1943	52	77	40	70054	89
73566	893	32	22	23	22618	26
194979	1762	62	66	40	74011	84
167488	1403	45	69	28	83737	113
143756	1425	46	105	34	69094	120
275541	1857	63	116	33	93133	110
243199	1840	75	88	28	95536	134
182999	1502	88	73	34	225920	54
135649	1441	46	99	30	62133	96
152299	1420	53	62	33	61370	78
120221	1416	37	53	22	43836	51
346485	2970	90	118	38	106117	121
145790	1317	63	30	26	38692	38
193339	1644	78	100	35	84651	145
80953	870	25	49	8	56622	59
122774	1654	45	24	24	15986	27
130585	1054	46	67	29	95364	91
112611	937	41	46	20	26706	48
286468	3004	144	57	29	89691	68
241066	2008	82	75	45	67267	58
148446	2547	91	135	37	126846	150
204713	1885	71	68	33	41140	74
182079	1626	63	124	33	102860	181
140344	1468	53	33	25	51715	65
220516	2445	62	98	32	55801	97
243060	1964	63	58	29	111813	121
162765	1381	32	68	28	120293	99
182613	1369	39	81	28	138599	152
232138	1659	62	131	31	161647	188
265318	2888	117	110	52	115929	138
85574	1290	34	37	21	24266	40
310839	2845	92	130	24	162901	254
225060	1982	93	93	41	109825	87
232317	1904	54	118	33	129838	178
144966	1391	144	39	32	37510	51
43287	602	14	13	19	43750	49
155754	1743	61	74	20	40652	73
164709	1559	109	81	31	87771	176
201940	2014	38	109	31	85872	94
235454	2143	73	151	32	89275	120
220801	2146	75	51	18	44418	66
99466	874	50	28	23	192565	56
92661	1590	61	40	17	35232	39
133328	1590	55	56	20	40909	66
61361	1210	77	27	12	13294	27
125930	2072	75	37	17	32387	65
100750	1281	72	83	30	140867	58
224549	1401	50	54	31	120662	98
82316	834	32	27	10	21233	25
102010	1105	53	28	13	44332	26
101523	1272	42	59	22	61056	77
243511	1944	71	133	42	101338	130
22938	391	10	12	1	1168	11
41566	761	35	0	9	13497	2
152474	1605	65	106	32	65567	101
61857	530	25	23	11	25162	31
99923	1988	66	44	25	32334	36
132487	1386	41	71	36	40735	120
317394	2395	86	116	31	91413	195
21054	387	16	4	0	855	4
209641	1742	42	62	24	97068	89
22648	620	19	12	13	44339	24
31414	449	19	18	8	14116	39
46698	800	45	14	13	10288	14
131698	1684	65	60	19	65622	78
91735	1050	35	7	18	16563	15
244749	2699	95	98	33	76643	106
184510	1606	49	64	40	110681	83
79863	1502	37	29	22	29011	24
128423	1204	64	32	38	92696	37
97839	1138	38	25	24	94785	77
38214	568	34	16	8	8773	16
151101	1459	32	48	35	83209	56
272458	2158	65	100	43	93815	132
172494	1111	52	46	43	86687	144
108043	1421	62	45	14	34553	40
328107	2833	65	129	41	105547	153
250579	1955	83	130	38	103487	143
351067	2922	95	136	45	213688	220
158015	1002	29	59	31	71220	79
98866	1060	18	25	13	23517	50
85439	956	33	32	28	56926	39
229242	2186	247	63	31	91721	95
351619	3604	139	95	40	115168	169
84207	1035	29	14	30	111194	12
120445	1417	118	36	16	51009	63
324598	3261	110	113	37	135777	134
131069	1587	67	47	30	51513	69
204271	1424	42	92	35	74163	119
165543	1701	65	70	32	51633	119
141722	1249	94	19	27	75345	75
116048	946	64	50	20	33416	63
250047	1926	81	41	18	83305	55
299775	3352	95	91	31	98952	103
195838	1641	67	111	31	102372	197
173260	2035	63	41	21	37238	16
254488	2312	83	120	39	103772	140
104389	1369	45	135	41	123969	89
136084	1577	30	27	13	27142	40
199476	2201	70	87	32	135400	125
92499	961	32	25	18	21399	21
224330	1900	83	131	39	130115	167
135781	1254	31	45	14	24874	32
74408	1335	67	29	7	34988	36
81240	1597	66	58	17	45549	13
14688	207	10	4	0	6023	5
181633	1645	70	47	30	64466	96
271856	2429	103	109	37	54990	151
7199	151	5	7	0	1644	6
46660	474	20	12	5	6179	13
17547	141	5	0	1	3926	3
133368	1639	36	37	16	32755	57
95227	872	34	37	32	34777	23
152601	1318	48	46	24	73224	61
98146	1018	40	15	17	27114	21
79619	1383	43	42	11	20760	43
59194	1314	31	7	24	37636	20
139942	1335	42	54	22	65461	82
118612	1403	46	54	12	30080	90
72880	910	33	14	19	24094	25
65475	616	18	16	13	69008	60
99643	1407	55	33	17	54968	61
71965	771	35	32	15	46090	85
77272	766	59	21	16	27507	43
49289	473	19	15	24	10672	25
135131	1376	66	38	15	34029	41
108446	1232	60	22	17	46300	26
89746	1521	36	28	18	24760	38
44296	572	25	10	20	18779	12
77648	1059	47	31	16	21280	29
181528	1544	54	32	16	40662	49
134019	1230	53	32	18	28987	46
124064	1206	40	43	22	22827	41
92630	1205	40	27	8	18513	31
121848	1255	39	37	17	30594	41
52915	613	14	20	18	24006	26
81872	721	45	32	16	27913	23
58981	1109	36	0	23	42744	14
53515	740	28	5	22	12934	16
60812	1126	44	26	13	22574	25
56375	728	30	10	13	41385	21
65490	689	22	27	16	18653	32
80949	592	17	11	16	18472	9
76302	995	31	29	20	30976	35
104011	1613	55	25	22	63339	42
98104	2048	54	55	17	25568	68
67989	705	21	23	18	33747	32
30989	301	14	5	17	4154	6
135458	1803	81	43	12	19474	68
73504	799	35	23	7	35130	33
63123	861	43	34	17	39067	84
61254	1186	46	36	14	13310	46
74914	1451	30	35	23	65892	30
31774	628	23	0	17	4143	0
81437	1161	38	37	14	28579	36
87186	1463	54	28	15	51776	47
50090	742	20	16	17	21152	20
65745	979	53	26	21	38084	50
56653	675	45	38	18	27717	30
158399	1241	39	23	18	32928	30
46455	676	20	22	17	11342	34
73624	1049	24	30	17	19499	33
38395	620	31	16	16	16380	34
91899	1081	35	18	15	36874	37
139526	1688	151	28	21	48259	83
52164	736	52	32	16	16734	32
51567	617	30	21	14	28207	30
70551	812	31	23	15	30143	43
84856	1051	29	29	17	41369	41
102538	1656	57	50	15	45833	51
86678	705	40	12	15	29156	19
85709	945	44	21	10	35944	37
34662	554	25	18	6	36278	33
150580	1597	77	27	22	45588	41
99611	982	35	41	21	45097	54
19349	222	11	13	1	3895	14
99373	1212	63	12	18	28394	25
86230	1143	44	21	17	18632	25
30837	435	19	8	4	2325	8
31706	532	13	26	10	25139	26
89806	882	42	27	16	27975	20
62088	608	38	13	16	14483	11
40151	459	29	16	9	13127	14
27634	578	20	2	16	5839	3
76990	826	27	42	17	24069	40
37460	509	20	5	7	3738	5
54157	717	19	37	15	18625	38
49862	637	37	17	14	36341	32
84337	857	26	38	14	24548	41
64175	830	42	37	18	21792	46
59382	652	49	29	12	26263	47
119308	707	30	32	16	23686	37
76702	954	49	35	21	49303	51
103425	1461	67	17	19	25659	49
70344	672	28	20	16	28904	21
43410	778	19	7	1	2781	1
104838	1141	49	46	16	29236	44
62215	680	27	24	10	19546	26
69304	1090	30	40	19	22818	21
53117	616	22	3	12	32689	4
19764	285	12	10	2	5752	10
86680	1145	31	37	14	22197	43
84105	733	20	17	17	20055	34
77945	888	20	28	19	25272	32
89113	849	39	19	14	82206	20
91005	1182	29	29	11	32073	34
40248	528	16	8	4	5444	6
64187	642	27	10	16	20154	12
50857	947	21	15	20	36944	24
56613	819	19	15	12	8019	16
62792	757	35	28	15	30884	72
72535	894	14	17	16	19540	27




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time19 seconds
R Server'George Udny Yule' @ yule.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 19 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=231518&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]19 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=231518&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231518&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 time19 seconds
R Server'George Udny Yule' @ yule.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Goodness of Fit
Correlation0.9418
R-squared0.887
RMSE27632.6448

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.9418 \tabularnewline
R-squared & 0.887 \tabularnewline
RMSE & 27632.6448 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231518&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.9418[/C][/ROW]
[ROW][C]R-squared[/C][C]0.887[/C][/ROW]
[ROW][C]RMSE[/C][C]27632.6448[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231518&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231518&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
Correlation0.9418
R-squared0.887
RMSE27632.6448







Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
1210907170896.540010.5
2120982124193.777777778-3211.77777777778
3176508170896.55611.5
4179321217375.425-38054.425
5123185124193.777777778-1008.77777777778
65274639424.133333333313321.8666666667
7385534321098.062564435.9375
83317019387.413782.6
910164586007.415637.6
10149061141926.969696977134.0303030303
11165446141926.9696969723519.0303030303
12237213217375.42519837.575
13173326141926.9696969731399.0303030303
14133131141926.96969697-8795.9696969697
15258873217375.42541497.575
16180083141926.9696969738156.0303030303
17324799321098.06253700.9375
18230964217375.42513588.575
19236785217375.42519409.575
20135473124193.77777777811279.2222222222
21202925217375.425-14450.425
22215147217375.425-2228.42499999999
23344297252483.41176470691813.5882352941
24153935141926.9696969712008.0303030303
25132943170896.5-37953.5
26174724252483.411764706-77759.4117647059
27174415217375.425-42960.425
28225548252483.411764706-26935.4117647059
29223632217375.4256256.57500000001
30124817141926.96969697-17109.9696969697
31221698217375.4254322.57500000001
32210767217375.425-6608.42499999999
33170266170896.5-630.5
34260561217375.42543185.575
358485386007.4-1154.39999999999
36294424252483.41176470641940.5882352941
3710101186007.415003.6
3821564117938436257
39325107252483.41176470672623.5882352941
40717619387.4-12211.4
41167542141926.9696969725615.0303030303
4210640886007.420400.6
4396560116016.714285714-19456.7142857143
44265769252483.41176470613285.5882352941
45269651321098.0625-51447.0625
46149112141926.969696977185.0303030303
47175824179384-3560
48152871141926.9696969710944.0303030303
4911166586007.425657.6
50116408179384-62976
51362301321098.062541202.9375
527880086007.4-7207.39999999999
53183167217375.425-34208.425
54277965321098.0625-43133.0625
55150629217375.425-66746.425
56168809170896.5-2087.5
572418839424.1333333333-15236.1333333333
58329267252483.41176470676783.5882352941
5965029601474882
6010109786007.415089.6
61218946252483.411764706-33537.4117647059
62244052217375.42526676.575
63341570321098.062520471.9375
6410359786007.417589.6
65233328252483.411764706-19155.4117647059
66256462217375.42539086.575
6720616117938426777
68311473321098.0625-9625.0625
69235800252483.411764706-16683.4117647059
70177939179384-1445
71207176217375.425-10199.425
72196553170896.525656.5
73174184141926.9696969732257.0303030303
74143246170896.5-27650.5
75187559252483.411764706-64924.4117647059
76187681217375.425-29694.425
77119016141926.96969697-22910.9696969697
78182192217375.425-35183.425
797356686007.4-12441.4
80194979217375.425-22396.425
81167488170896.5-3408.5
82143756170896.5-27140.5
83275541217375.42558165.575
84243199217375.42525823.575
85182999141926.9696969741072.0303030303
86135649141926.96969697-6277.9696969697
87152299141926.9696969710372.0303030303
88120221141926.96969697-21705.9696969697
89346485321098.062525386.9375
90145790106787.47619047639002.5238095238
91193339217375.425-24036.425
928095386007.4-5054.39999999999
93122774116016.7142857146757.28571428571
94130585124193.7777777786391.22222222222
9511261186007.426603.6
96286468321098.0625-34630.0625
9724106617938461682
98148446252483.411764706-104037.411764706
9920471317938425329
100182079217375.425-35296.425
101140344141926.96969697-1582.9696969697
102220516252483.411764706-31967.4117647059
103243060217375.42525684.575
104162765170896.5-8131.5
105182613170896.511716.5
106232138217375.42514762.575
107265318321098.0625-55780.0625
10885574106787.476190476-21213.4761904762
109310839321098.0625-10259.0625
110225060217375.4257684.57500000001
111232317217375.42514941.575
112144966141926.969696973039.0303030303
1134328760147-16860
114155754179384-23630
115164709170896.5-6187.5
116201940217375.425-15435.425
117235454217375.42518078.575
11822080117938441417
1199946686007.413458.6
12092661106787.476190476-14126.4761904762
121133328141926.96969697-8598.9696969697
1226136186007.4-24646.4
123125930116016.7142857149913.28571428571
124100750141926.96969697-41176.9696969697
125224549170896.553652.5
1268231686007.4-3691.39999999999
12710201086007.416002.6
128101523141926.96969697-40403.9696969697
129243511217375.42526135.575
1302293819387.43550.6
1314156660147-18581
132152474170896.5-18422.5
1336185739424.133333333322432.8666666667
13499923116016.714285714-16093.7142857143
135132487170896.5-38409.5
136317394252483.41176470664910.5882352941
1372105419387.41666.6
138209641217375.425-7734.42499999999
1392264860147-37499
1403141439424.1333333333-8010.13333333333
1414669860147-13449
142131698179384-47686
1439173586007.45727.60000000001
144244749252483.411764706-7734.41176470587
145184510141926.9696969742583.0303030303
14679863106787.476190476-26924.4761904762
14712842386007.442415.6
14897839124193.777777778-26354.7777777778
1493821439424.1333333333-1210.13333333333
150151101141926.969696979174.0303030303
151272458217375.42555082.575
152172494124193.77777777848300.2222222222
153108043106787.4761904761255.52380952382
154328107321098.06257008.9375
155250579217375.42533203.575
156351067321098.062529968.9375
157158015124193.77777777833821.2222222222
1589886686007.412858.6
1598543986007.4-568.399999999994
160229242217375.42511866.575
161351619321098.062530520.9375
1628420786007.4-1800.39999999999
163120445141926.96969697-21481.9696969697
164324598321098.06253499.9375
165131069141926.96969697-10857.9696969697
166204271170896.533374.5
167165543217375.425-51832.425
168141722141926.96969697-204.969696969696
169116048124193.777777778-8145.77777777778
17025004717938470663
171299775321098.0625-21323.0625
172195838217375.425-21537.425
173173260179384-6124
174254488252483.4117647062004.58823529413
175104389141926.96969697-37537.9696969697
176136084106787.47619047629296.5238095238
177199476217375.425-17899.425
1789249986007.46491.60000000001
179224330217375.4256954.57500000001
180135781106787.47619047628993.5238095238
18174408106787.476190476-32379.4761904762
18281240106787.476190476-25547.4761904762
1831468819387.4-4699.4
184181633217375.425-35742.425
185271856252483.41176470619372.5882352941
186719919387.4-12188.4
1874666039424.13333333337235.86666666667
1881754719387.4-1840.4
189133368116016.71428571417351.2857142857
1909522786007.49219.60000000001
191152601141926.9696969710674.0303030303
1929814686007.412138.6
19379619106787.476190476-27168.4761904762
19459194106787.476190476-47593.4761904762
195139942141926.96969697-1984.9696969697
196118612141926.96969697-23314.9696969697
1977288086007.4-13127.4
19865475601475328
19999643141926.96969697-42283.9696969697
200719656014711818
201772726014717125
2024928939424.13333333339864.86666666667
203135131106787.47619047628343.5238095238
204108446106787.4761904761658.52380952382
20589746106787.476190476-17041.4761904762
2064429639424.13333333334871.86666666667
2077764886007.4-8359.39999999999
208181528141926.9696969739601.0303030303
209134019106787.47619047627231.5238095238
21012406486007.438056.6
2119263086007.46622.60000000001
212121848106787.47619047615060.5238095238
2135291560147-7232
214818726014721725
2155898186007.4-27026.4
2165351560147-6632
2176081286007.4-25195.4
2185637560147-3772
21965490601475343
220809496014720802
2217630286007.4-9705.39999999999
222104011106787.476190476-2776.47619047618
22398104116016.714285714-17912.7142857143
22467989601477842
2253098919387.411601.6
226135458116016.71428571419441.2857142857
227735046014713357
22863123124193.777777778-61070.7777777778
2296125486007.4-24753.4
23074914106787.476190476-31873.4761904762
2313177460147-28373
2328143786007.4-4570.39999999999
23387186106787.476190476-19601.4761904762
2345009060147-10057
2356574586007.4-20262.4
2365665360147-3494
237158399106787.47619047651611.5238095238
2384645560147-13692
2397362486007.4-12383.4
2403839560147-21752
2419189986007.45891.60000000001
242139526179384-39858
2435216460147-7983
2445156760147-8580
2457055186007.4-15456.4
2468485686007.4-1151.39999999999
247102538179384-76846
248866786014726531
2498570986007.4-298.399999999994
2503466239424.1333333333-4762.13333333333
251150580106787.47619047643792.5238095238
2529961186007.413603.6
2531934919387.4-38.4000000000015
2549937386007.413365.6
2558623086007.4222.600000000006
2563083739424.1333333333-8587.13333333333
2573170639424.1333333333-7718.13333333333
2588980686007.43798.60000000001
25962088601471941
2604015139424.1333333333726.866666666669
2612763439424.1333333333-11790.1333333333
2627699086007.4-9017.39999999999
2633746039424.1333333333-1964.13333333333
2645415760147-5990
2654986260147-10285
2668433786007.4-1670.39999999999
2676417586007.4-21832.4
2685938260147-765
2691193086014759161
2707670286007.4-9305.39999999999
271103425141926.96969697-38501.9696969697
272703446014710197
2734341060147-16737
27410483886007.418830.6
27562215601472068
2766930486007.4-16703.4
2775311760147-7030
2781976419387.4376.599999999999
2798668086007.4672.600000000006
280841056014723958
2817794586007.4-8062.39999999999
2828911386007.43105.60000000001
2839100586007.44997.60000000001
2844024839424.1333333333823.866666666669
28564187601474040
2865085786007.4-35150.4
2875661386007.4-29394.4
28862792601472645
2897253586007.4-13472.4

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 210907 & 170896.5 & 40010.5 \tabularnewline
2 & 120982 & 124193.777777778 & -3211.77777777778 \tabularnewline
3 & 176508 & 170896.5 & 5611.5 \tabularnewline
4 & 179321 & 217375.425 & -38054.425 \tabularnewline
5 & 123185 & 124193.777777778 & -1008.77777777778 \tabularnewline
6 & 52746 & 39424.1333333333 & 13321.8666666667 \tabularnewline
7 & 385534 & 321098.0625 & 64435.9375 \tabularnewline
8 & 33170 & 19387.4 & 13782.6 \tabularnewline
9 & 101645 & 86007.4 & 15637.6 \tabularnewline
10 & 149061 & 141926.96969697 & 7134.0303030303 \tabularnewline
11 & 165446 & 141926.96969697 & 23519.0303030303 \tabularnewline
12 & 237213 & 217375.425 & 19837.575 \tabularnewline
13 & 173326 & 141926.96969697 & 31399.0303030303 \tabularnewline
14 & 133131 & 141926.96969697 & -8795.9696969697 \tabularnewline
15 & 258873 & 217375.425 & 41497.575 \tabularnewline
16 & 180083 & 141926.96969697 & 38156.0303030303 \tabularnewline
17 & 324799 & 321098.0625 & 3700.9375 \tabularnewline
18 & 230964 & 217375.425 & 13588.575 \tabularnewline
19 & 236785 & 217375.425 & 19409.575 \tabularnewline
20 & 135473 & 124193.777777778 & 11279.2222222222 \tabularnewline
21 & 202925 & 217375.425 & -14450.425 \tabularnewline
22 & 215147 & 217375.425 & -2228.42499999999 \tabularnewline
23 & 344297 & 252483.411764706 & 91813.5882352941 \tabularnewline
24 & 153935 & 141926.96969697 & 12008.0303030303 \tabularnewline
25 & 132943 & 170896.5 & -37953.5 \tabularnewline
26 & 174724 & 252483.411764706 & -77759.4117647059 \tabularnewline
27 & 174415 & 217375.425 & -42960.425 \tabularnewline
28 & 225548 & 252483.411764706 & -26935.4117647059 \tabularnewline
29 & 223632 & 217375.425 & 6256.57500000001 \tabularnewline
30 & 124817 & 141926.96969697 & -17109.9696969697 \tabularnewline
31 & 221698 & 217375.425 & 4322.57500000001 \tabularnewline
32 & 210767 & 217375.425 & -6608.42499999999 \tabularnewline
33 & 170266 & 170896.5 & -630.5 \tabularnewline
34 & 260561 & 217375.425 & 43185.575 \tabularnewline
35 & 84853 & 86007.4 & -1154.39999999999 \tabularnewline
36 & 294424 & 252483.411764706 & 41940.5882352941 \tabularnewline
37 & 101011 & 86007.4 & 15003.6 \tabularnewline
38 & 215641 & 179384 & 36257 \tabularnewline
39 & 325107 & 252483.411764706 & 72623.5882352941 \tabularnewline
40 & 7176 & 19387.4 & -12211.4 \tabularnewline
41 & 167542 & 141926.96969697 & 25615.0303030303 \tabularnewline
42 & 106408 & 86007.4 & 20400.6 \tabularnewline
43 & 96560 & 116016.714285714 & -19456.7142857143 \tabularnewline
44 & 265769 & 252483.411764706 & 13285.5882352941 \tabularnewline
45 & 269651 & 321098.0625 & -51447.0625 \tabularnewline
46 & 149112 & 141926.96969697 & 7185.0303030303 \tabularnewline
47 & 175824 & 179384 & -3560 \tabularnewline
48 & 152871 & 141926.96969697 & 10944.0303030303 \tabularnewline
49 & 111665 & 86007.4 & 25657.6 \tabularnewline
50 & 116408 & 179384 & -62976 \tabularnewline
51 & 362301 & 321098.0625 & 41202.9375 \tabularnewline
52 & 78800 & 86007.4 & -7207.39999999999 \tabularnewline
53 & 183167 & 217375.425 & -34208.425 \tabularnewline
54 & 277965 & 321098.0625 & -43133.0625 \tabularnewline
55 & 150629 & 217375.425 & -66746.425 \tabularnewline
56 & 168809 & 170896.5 & -2087.5 \tabularnewline
57 & 24188 & 39424.1333333333 & -15236.1333333333 \tabularnewline
58 & 329267 & 252483.411764706 & 76783.5882352941 \tabularnewline
59 & 65029 & 60147 & 4882 \tabularnewline
60 & 101097 & 86007.4 & 15089.6 \tabularnewline
61 & 218946 & 252483.411764706 & -33537.4117647059 \tabularnewline
62 & 244052 & 217375.425 & 26676.575 \tabularnewline
63 & 341570 & 321098.0625 & 20471.9375 \tabularnewline
64 & 103597 & 86007.4 & 17589.6 \tabularnewline
65 & 233328 & 252483.411764706 & -19155.4117647059 \tabularnewline
66 & 256462 & 217375.425 & 39086.575 \tabularnewline
67 & 206161 & 179384 & 26777 \tabularnewline
68 & 311473 & 321098.0625 & -9625.0625 \tabularnewline
69 & 235800 & 252483.411764706 & -16683.4117647059 \tabularnewline
70 & 177939 & 179384 & -1445 \tabularnewline
71 & 207176 & 217375.425 & -10199.425 \tabularnewline
72 & 196553 & 170896.5 & 25656.5 \tabularnewline
73 & 174184 & 141926.96969697 & 32257.0303030303 \tabularnewline
74 & 143246 & 170896.5 & -27650.5 \tabularnewline
75 & 187559 & 252483.411764706 & -64924.4117647059 \tabularnewline
76 & 187681 & 217375.425 & -29694.425 \tabularnewline
77 & 119016 & 141926.96969697 & -22910.9696969697 \tabularnewline
78 & 182192 & 217375.425 & -35183.425 \tabularnewline
79 & 73566 & 86007.4 & -12441.4 \tabularnewline
80 & 194979 & 217375.425 & -22396.425 \tabularnewline
81 & 167488 & 170896.5 & -3408.5 \tabularnewline
82 & 143756 & 170896.5 & -27140.5 \tabularnewline
83 & 275541 & 217375.425 & 58165.575 \tabularnewline
84 & 243199 & 217375.425 & 25823.575 \tabularnewline
85 & 182999 & 141926.96969697 & 41072.0303030303 \tabularnewline
86 & 135649 & 141926.96969697 & -6277.9696969697 \tabularnewline
87 & 152299 & 141926.96969697 & 10372.0303030303 \tabularnewline
88 & 120221 & 141926.96969697 & -21705.9696969697 \tabularnewline
89 & 346485 & 321098.0625 & 25386.9375 \tabularnewline
90 & 145790 & 106787.476190476 & 39002.5238095238 \tabularnewline
91 & 193339 & 217375.425 & -24036.425 \tabularnewline
92 & 80953 & 86007.4 & -5054.39999999999 \tabularnewline
93 & 122774 & 116016.714285714 & 6757.28571428571 \tabularnewline
94 & 130585 & 124193.777777778 & 6391.22222222222 \tabularnewline
95 & 112611 & 86007.4 & 26603.6 \tabularnewline
96 & 286468 & 321098.0625 & -34630.0625 \tabularnewline
97 & 241066 & 179384 & 61682 \tabularnewline
98 & 148446 & 252483.411764706 & -104037.411764706 \tabularnewline
99 & 204713 & 179384 & 25329 \tabularnewline
100 & 182079 & 217375.425 & -35296.425 \tabularnewline
101 & 140344 & 141926.96969697 & -1582.9696969697 \tabularnewline
102 & 220516 & 252483.411764706 & -31967.4117647059 \tabularnewline
103 & 243060 & 217375.425 & 25684.575 \tabularnewline
104 & 162765 & 170896.5 & -8131.5 \tabularnewline
105 & 182613 & 170896.5 & 11716.5 \tabularnewline
106 & 232138 & 217375.425 & 14762.575 \tabularnewline
107 & 265318 & 321098.0625 & -55780.0625 \tabularnewline
108 & 85574 & 106787.476190476 & -21213.4761904762 \tabularnewline
109 & 310839 & 321098.0625 & -10259.0625 \tabularnewline
110 & 225060 & 217375.425 & 7684.57500000001 \tabularnewline
111 & 232317 & 217375.425 & 14941.575 \tabularnewline
112 & 144966 & 141926.96969697 & 3039.0303030303 \tabularnewline
113 & 43287 & 60147 & -16860 \tabularnewline
114 & 155754 & 179384 & -23630 \tabularnewline
115 & 164709 & 170896.5 & -6187.5 \tabularnewline
116 & 201940 & 217375.425 & -15435.425 \tabularnewline
117 & 235454 & 217375.425 & 18078.575 \tabularnewline
118 & 220801 & 179384 & 41417 \tabularnewline
119 & 99466 & 86007.4 & 13458.6 \tabularnewline
120 & 92661 & 106787.476190476 & -14126.4761904762 \tabularnewline
121 & 133328 & 141926.96969697 & -8598.9696969697 \tabularnewline
122 & 61361 & 86007.4 & -24646.4 \tabularnewline
123 & 125930 & 116016.714285714 & 9913.28571428571 \tabularnewline
124 & 100750 & 141926.96969697 & -41176.9696969697 \tabularnewline
125 & 224549 & 170896.5 & 53652.5 \tabularnewline
126 & 82316 & 86007.4 & -3691.39999999999 \tabularnewline
127 & 102010 & 86007.4 & 16002.6 \tabularnewline
128 & 101523 & 141926.96969697 & -40403.9696969697 \tabularnewline
129 & 243511 & 217375.425 & 26135.575 \tabularnewline
130 & 22938 & 19387.4 & 3550.6 \tabularnewline
131 & 41566 & 60147 & -18581 \tabularnewline
132 & 152474 & 170896.5 & -18422.5 \tabularnewline
133 & 61857 & 39424.1333333333 & 22432.8666666667 \tabularnewline
134 & 99923 & 116016.714285714 & -16093.7142857143 \tabularnewline
135 & 132487 & 170896.5 & -38409.5 \tabularnewline
136 & 317394 & 252483.411764706 & 64910.5882352941 \tabularnewline
137 & 21054 & 19387.4 & 1666.6 \tabularnewline
138 & 209641 & 217375.425 & -7734.42499999999 \tabularnewline
139 & 22648 & 60147 & -37499 \tabularnewline
140 & 31414 & 39424.1333333333 & -8010.13333333333 \tabularnewline
141 & 46698 & 60147 & -13449 \tabularnewline
142 & 131698 & 179384 & -47686 \tabularnewline
143 & 91735 & 86007.4 & 5727.60000000001 \tabularnewline
144 & 244749 & 252483.411764706 & -7734.41176470587 \tabularnewline
145 & 184510 & 141926.96969697 & 42583.0303030303 \tabularnewline
146 & 79863 & 106787.476190476 & -26924.4761904762 \tabularnewline
147 & 128423 & 86007.4 & 42415.6 \tabularnewline
148 & 97839 & 124193.777777778 & -26354.7777777778 \tabularnewline
149 & 38214 & 39424.1333333333 & -1210.13333333333 \tabularnewline
150 & 151101 & 141926.96969697 & 9174.0303030303 \tabularnewline
151 & 272458 & 217375.425 & 55082.575 \tabularnewline
152 & 172494 & 124193.777777778 & 48300.2222222222 \tabularnewline
153 & 108043 & 106787.476190476 & 1255.52380952382 \tabularnewline
154 & 328107 & 321098.0625 & 7008.9375 \tabularnewline
155 & 250579 & 217375.425 & 33203.575 \tabularnewline
156 & 351067 & 321098.0625 & 29968.9375 \tabularnewline
157 & 158015 & 124193.777777778 & 33821.2222222222 \tabularnewline
158 & 98866 & 86007.4 & 12858.6 \tabularnewline
159 & 85439 & 86007.4 & -568.399999999994 \tabularnewline
160 & 229242 & 217375.425 & 11866.575 \tabularnewline
161 & 351619 & 321098.0625 & 30520.9375 \tabularnewline
162 & 84207 & 86007.4 & -1800.39999999999 \tabularnewline
163 & 120445 & 141926.96969697 & -21481.9696969697 \tabularnewline
164 & 324598 & 321098.0625 & 3499.9375 \tabularnewline
165 & 131069 & 141926.96969697 & -10857.9696969697 \tabularnewline
166 & 204271 & 170896.5 & 33374.5 \tabularnewline
167 & 165543 & 217375.425 & -51832.425 \tabularnewline
168 & 141722 & 141926.96969697 & -204.969696969696 \tabularnewline
169 & 116048 & 124193.777777778 & -8145.77777777778 \tabularnewline
170 & 250047 & 179384 & 70663 \tabularnewline
171 & 299775 & 321098.0625 & -21323.0625 \tabularnewline
172 & 195838 & 217375.425 & -21537.425 \tabularnewline
173 & 173260 & 179384 & -6124 \tabularnewline
174 & 254488 & 252483.411764706 & 2004.58823529413 \tabularnewline
175 & 104389 & 141926.96969697 & -37537.9696969697 \tabularnewline
176 & 136084 & 106787.476190476 & 29296.5238095238 \tabularnewline
177 & 199476 & 217375.425 & -17899.425 \tabularnewline
178 & 92499 & 86007.4 & 6491.60000000001 \tabularnewline
179 & 224330 & 217375.425 & 6954.57500000001 \tabularnewline
180 & 135781 & 106787.476190476 & 28993.5238095238 \tabularnewline
181 & 74408 & 106787.476190476 & -32379.4761904762 \tabularnewline
182 & 81240 & 106787.476190476 & -25547.4761904762 \tabularnewline
183 & 14688 & 19387.4 & -4699.4 \tabularnewline
184 & 181633 & 217375.425 & -35742.425 \tabularnewline
185 & 271856 & 252483.411764706 & 19372.5882352941 \tabularnewline
186 & 7199 & 19387.4 & -12188.4 \tabularnewline
187 & 46660 & 39424.1333333333 & 7235.86666666667 \tabularnewline
188 & 17547 & 19387.4 & -1840.4 \tabularnewline
189 & 133368 & 116016.714285714 & 17351.2857142857 \tabularnewline
190 & 95227 & 86007.4 & 9219.60000000001 \tabularnewline
191 & 152601 & 141926.96969697 & 10674.0303030303 \tabularnewline
192 & 98146 & 86007.4 & 12138.6 \tabularnewline
193 & 79619 & 106787.476190476 & -27168.4761904762 \tabularnewline
194 & 59194 & 106787.476190476 & -47593.4761904762 \tabularnewline
195 & 139942 & 141926.96969697 & -1984.9696969697 \tabularnewline
196 & 118612 & 141926.96969697 & -23314.9696969697 \tabularnewline
197 & 72880 & 86007.4 & -13127.4 \tabularnewline
198 & 65475 & 60147 & 5328 \tabularnewline
199 & 99643 & 141926.96969697 & -42283.9696969697 \tabularnewline
200 & 71965 & 60147 & 11818 \tabularnewline
201 & 77272 & 60147 & 17125 \tabularnewline
202 & 49289 & 39424.1333333333 & 9864.86666666667 \tabularnewline
203 & 135131 & 106787.476190476 & 28343.5238095238 \tabularnewline
204 & 108446 & 106787.476190476 & 1658.52380952382 \tabularnewline
205 & 89746 & 106787.476190476 & -17041.4761904762 \tabularnewline
206 & 44296 & 39424.1333333333 & 4871.86666666667 \tabularnewline
207 & 77648 & 86007.4 & -8359.39999999999 \tabularnewline
208 & 181528 & 141926.96969697 & 39601.0303030303 \tabularnewline
209 & 134019 & 106787.476190476 & 27231.5238095238 \tabularnewline
210 & 124064 & 86007.4 & 38056.6 \tabularnewline
211 & 92630 & 86007.4 & 6622.60000000001 \tabularnewline
212 & 121848 & 106787.476190476 & 15060.5238095238 \tabularnewline
213 & 52915 & 60147 & -7232 \tabularnewline
214 & 81872 & 60147 & 21725 \tabularnewline
215 & 58981 & 86007.4 & -27026.4 \tabularnewline
216 & 53515 & 60147 & -6632 \tabularnewline
217 & 60812 & 86007.4 & -25195.4 \tabularnewline
218 & 56375 & 60147 & -3772 \tabularnewline
219 & 65490 & 60147 & 5343 \tabularnewline
220 & 80949 & 60147 & 20802 \tabularnewline
221 & 76302 & 86007.4 & -9705.39999999999 \tabularnewline
222 & 104011 & 106787.476190476 & -2776.47619047618 \tabularnewline
223 & 98104 & 116016.714285714 & -17912.7142857143 \tabularnewline
224 & 67989 & 60147 & 7842 \tabularnewline
225 & 30989 & 19387.4 & 11601.6 \tabularnewline
226 & 135458 & 116016.714285714 & 19441.2857142857 \tabularnewline
227 & 73504 & 60147 & 13357 \tabularnewline
228 & 63123 & 124193.777777778 & -61070.7777777778 \tabularnewline
229 & 61254 & 86007.4 & -24753.4 \tabularnewline
230 & 74914 & 106787.476190476 & -31873.4761904762 \tabularnewline
231 & 31774 & 60147 & -28373 \tabularnewline
232 & 81437 & 86007.4 & -4570.39999999999 \tabularnewline
233 & 87186 & 106787.476190476 & -19601.4761904762 \tabularnewline
234 & 50090 & 60147 & -10057 \tabularnewline
235 & 65745 & 86007.4 & -20262.4 \tabularnewline
236 & 56653 & 60147 & -3494 \tabularnewline
237 & 158399 & 106787.476190476 & 51611.5238095238 \tabularnewline
238 & 46455 & 60147 & -13692 \tabularnewline
239 & 73624 & 86007.4 & -12383.4 \tabularnewline
240 & 38395 & 60147 & -21752 \tabularnewline
241 & 91899 & 86007.4 & 5891.60000000001 \tabularnewline
242 & 139526 & 179384 & -39858 \tabularnewline
243 & 52164 & 60147 & -7983 \tabularnewline
244 & 51567 & 60147 & -8580 \tabularnewline
245 & 70551 & 86007.4 & -15456.4 \tabularnewline
246 & 84856 & 86007.4 & -1151.39999999999 \tabularnewline
247 & 102538 & 179384 & -76846 \tabularnewline
248 & 86678 & 60147 & 26531 \tabularnewline
249 & 85709 & 86007.4 & -298.399999999994 \tabularnewline
250 & 34662 & 39424.1333333333 & -4762.13333333333 \tabularnewline
251 & 150580 & 106787.476190476 & 43792.5238095238 \tabularnewline
252 & 99611 & 86007.4 & 13603.6 \tabularnewline
253 & 19349 & 19387.4 & -38.4000000000015 \tabularnewline
254 & 99373 & 86007.4 & 13365.6 \tabularnewline
255 & 86230 & 86007.4 & 222.600000000006 \tabularnewline
256 & 30837 & 39424.1333333333 & -8587.13333333333 \tabularnewline
257 & 31706 & 39424.1333333333 & -7718.13333333333 \tabularnewline
258 & 89806 & 86007.4 & 3798.60000000001 \tabularnewline
259 & 62088 & 60147 & 1941 \tabularnewline
260 & 40151 & 39424.1333333333 & 726.866666666669 \tabularnewline
261 & 27634 & 39424.1333333333 & -11790.1333333333 \tabularnewline
262 & 76990 & 86007.4 & -9017.39999999999 \tabularnewline
263 & 37460 & 39424.1333333333 & -1964.13333333333 \tabularnewline
264 & 54157 & 60147 & -5990 \tabularnewline
265 & 49862 & 60147 & -10285 \tabularnewline
266 & 84337 & 86007.4 & -1670.39999999999 \tabularnewline
267 & 64175 & 86007.4 & -21832.4 \tabularnewline
268 & 59382 & 60147 & -765 \tabularnewline
269 & 119308 & 60147 & 59161 \tabularnewline
270 & 76702 & 86007.4 & -9305.39999999999 \tabularnewline
271 & 103425 & 141926.96969697 & -38501.9696969697 \tabularnewline
272 & 70344 & 60147 & 10197 \tabularnewline
273 & 43410 & 60147 & -16737 \tabularnewline
274 & 104838 & 86007.4 & 18830.6 \tabularnewline
275 & 62215 & 60147 & 2068 \tabularnewline
276 & 69304 & 86007.4 & -16703.4 \tabularnewline
277 & 53117 & 60147 & -7030 \tabularnewline
278 & 19764 & 19387.4 & 376.599999999999 \tabularnewline
279 & 86680 & 86007.4 & 672.600000000006 \tabularnewline
280 & 84105 & 60147 & 23958 \tabularnewline
281 & 77945 & 86007.4 & -8062.39999999999 \tabularnewline
282 & 89113 & 86007.4 & 3105.60000000001 \tabularnewline
283 & 91005 & 86007.4 & 4997.60000000001 \tabularnewline
284 & 40248 & 39424.1333333333 & 823.866666666669 \tabularnewline
285 & 64187 & 60147 & 4040 \tabularnewline
286 & 50857 & 86007.4 & -35150.4 \tabularnewline
287 & 56613 & 86007.4 & -29394.4 \tabularnewline
288 & 62792 & 60147 & 2645 \tabularnewline
289 & 72535 & 86007.4 & -13472.4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231518&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]170896.5[/C][C]40010.5[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]124193.777777778[/C][C]-3211.77777777778[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]170896.5[/C][C]5611.5[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]217375.425[/C][C]-38054.425[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]124193.777777778[/C][C]-1008.77777777778[/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]86007.4[/C][C]15637.6[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]141926.96969697[/C][C]7134.0303030303[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]141926.96969697[/C][C]23519.0303030303[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]217375.425[/C][C]19837.575[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]141926.96969697[/C][C]31399.0303030303[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]141926.96969697[/C][C]-8795.9696969697[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]217375.425[/C][C]41497.575[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]141926.96969697[/C][C]38156.0303030303[/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]217375.425[/C][C]13588.575[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]217375.425[/C][C]19409.575[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]124193.777777778[/C][C]11279.2222222222[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]217375.425[/C][C]-14450.425[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]217375.425[/C][C]-2228.42499999999[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]252483.411764706[/C][C]91813.5882352941[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]141926.96969697[/C][C]12008.0303030303[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]170896.5[/C][C]-37953.5[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]252483.411764706[/C][C]-77759.4117647059[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]217375.425[/C][C]-42960.425[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]252483.411764706[/C][C]-26935.4117647059[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]217375.425[/C][C]6256.57500000001[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]141926.96969697[/C][C]-17109.9696969697[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]217375.425[/C][C]4322.57500000001[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]217375.425[/C][C]-6608.42499999999[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]170896.5[/C][C]-630.5[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]217375.425[/C][C]43185.575[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]86007.4[/C][C]-1154.39999999999[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]252483.411764706[/C][C]41940.5882352941[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]86007.4[/C][C]15003.6[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]179384[/C][C]36257[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]252483.411764706[/C][C]72623.5882352941[/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]141926.96969697[/C][C]25615.0303030303[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]86007.4[/C][C]20400.6[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]116016.714285714[/C][C]-19456.7142857143[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]252483.411764706[/C][C]13285.5882352941[/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]141926.96969697[/C][C]7185.0303030303[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]179384[/C][C]-3560[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]141926.96969697[/C][C]10944.0303030303[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]86007.4[/C][C]25657.6[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]179384[/C][C]-62976[/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]86007.4[/C][C]-7207.39999999999[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]217375.425[/C][C]-34208.425[/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]217375.425[/C][C]-66746.425[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]170896.5[/C][C]-2087.5[/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]252483.411764706[/C][C]76783.5882352941[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]60147[/C][C]4882[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]86007.4[/C][C]15089.6[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]252483.411764706[/C][C]-33537.4117647059[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]217375.425[/C][C]26676.575[/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]86007.4[/C][C]17589.6[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]252483.411764706[/C][C]-19155.4117647059[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]217375.425[/C][C]39086.575[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]179384[/C][C]26777[/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]252483.411764706[/C][C]-16683.4117647059[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]179384[/C][C]-1445[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]217375.425[/C][C]-10199.425[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]170896.5[/C][C]25656.5[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]141926.96969697[/C][C]32257.0303030303[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]170896.5[/C][C]-27650.5[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]252483.411764706[/C][C]-64924.4117647059[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]217375.425[/C][C]-29694.425[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]141926.96969697[/C][C]-22910.9696969697[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]217375.425[/C][C]-35183.425[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]86007.4[/C][C]-12441.4[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]217375.425[/C][C]-22396.425[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]170896.5[/C][C]-3408.5[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]170896.5[/C][C]-27140.5[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]217375.425[/C][C]58165.575[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]217375.425[/C][C]25823.575[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]141926.96969697[/C][C]41072.0303030303[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]141926.96969697[/C][C]-6277.9696969697[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]141926.96969697[/C][C]10372.0303030303[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]141926.96969697[/C][C]-21705.9696969697[/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]106787.476190476[/C][C]39002.5238095238[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]217375.425[/C][C]-24036.425[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]86007.4[/C][C]-5054.39999999999[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]116016.714285714[/C][C]6757.28571428571[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]124193.777777778[/C][C]6391.22222222222[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]86007.4[/C][C]26603.6[/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]179384[/C][C]61682[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]252483.411764706[/C][C]-104037.411764706[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]179384[/C][C]25329[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]217375.425[/C][C]-35296.425[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]141926.96969697[/C][C]-1582.9696969697[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]252483.411764706[/C][C]-31967.4117647059[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]217375.425[/C][C]25684.575[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]170896.5[/C][C]-8131.5[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]170896.5[/C][C]11716.5[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]217375.425[/C][C]14762.575[/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]106787.476190476[/C][C]-21213.4761904762[/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]217375.425[/C][C]7684.57500000001[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]217375.425[/C][C]14941.575[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]141926.96969697[/C][C]3039.0303030303[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]60147[/C][C]-16860[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]179384[/C][C]-23630[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]170896.5[/C][C]-6187.5[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]217375.425[/C][C]-15435.425[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]217375.425[/C][C]18078.575[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]179384[/C][C]41417[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]86007.4[/C][C]13458.6[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]106787.476190476[/C][C]-14126.4761904762[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]141926.96969697[/C][C]-8598.9696969697[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]86007.4[/C][C]-24646.4[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]116016.714285714[/C][C]9913.28571428571[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]141926.96969697[/C][C]-41176.9696969697[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]170896.5[/C][C]53652.5[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]86007.4[/C][C]-3691.39999999999[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]86007.4[/C][C]16002.6[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]141926.96969697[/C][C]-40403.9696969697[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]217375.425[/C][C]26135.575[/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]170896.5[/C][C]-18422.5[/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]116016.714285714[/C][C]-16093.7142857143[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]170896.5[/C][C]-38409.5[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]252483.411764706[/C][C]64910.5882352941[/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]217375.425[/C][C]-7734.42499999999[/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]179384[/C][C]-47686[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]86007.4[/C][C]5727.60000000001[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]252483.411764706[/C][C]-7734.41176470587[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]141926.96969697[/C][C]42583.0303030303[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]106787.476190476[/C][C]-26924.4761904762[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]86007.4[/C][C]42415.6[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]124193.777777778[/C][C]-26354.7777777778[/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]141926.96969697[/C][C]9174.0303030303[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]217375.425[/C][C]55082.575[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]124193.777777778[/C][C]48300.2222222222[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]106787.476190476[/C][C]1255.52380952382[/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]217375.425[/C][C]33203.575[/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]124193.777777778[/C][C]33821.2222222222[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]86007.4[/C][C]12858.6[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]86007.4[/C][C]-568.399999999994[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]217375.425[/C][C]11866.575[/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]86007.4[/C][C]-1800.39999999999[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]141926.96969697[/C][C]-21481.9696969697[/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]141926.96969697[/C][C]-10857.9696969697[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]170896.5[/C][C]33374.5[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]217375.425[/C][C]-51832.425[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]141926.96969697[/C][C]-204.969696969696[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]124193.777777778[/C][C]-8145.77777777778[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]179384[/C][C]70663[/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]217375.425[/C][C]-21537.425[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]179384[/C][C]-6124[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]252483.411764706[/C][C]2004.58823529413[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]141926.96969697[/C][C]-37537.9696969697[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]106787.476190476[/C][C]29296.5238095238[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]217375.425[/C][C]-17899.425[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]86007.4[/C][C]6491.60000000001[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]217375.425[/C][C]6954.57500000001[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]106787.476190476[/C][C]28993.5238095238[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]106787.476190476[/C][C]-32379.4761904762[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]106787.476190476[/C][C]-25547.4761904762[/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]217375.425[/C][C]-35742.425[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]252483.411764706[/C][C]19372.5882352941[/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]116016.714285714[/C][C]17351.2857142857[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]86007.4[/C][C]9219.60000000001[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]141926.96969697[/C][C]10674.0303030303[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]86007.4[/C][C]12138.6[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]106787.476190476[/C][C]-27168.4761904762[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]106787.476190476[/C][C]-47593.4761904762[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]141926.96969697[/C][C]-1984.9696969697[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]141926.96969697[/C][C]-23314.9696969697[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]86007.4[/C][C]-13127.4[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]60147[/C][C]5328[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]141926.96969697[/C][C]-42283.9696969697[/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]106787.476190476[/C][C]28343.5238095238[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]106787.476190476[/C][C]1658.52380952382[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]106787.476190476[/C][C]-17041.4761904762[/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]86007.4[/C][C]-8359.39999999999[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]141926.96969697[/C][C]39601.0303030303[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]106787.476190476[/C][C]27231.5238095238[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]86007.4[/C][C]38056.6[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]86007.4[/C][C]6622.60000000001[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]106787.476190476[/C][C]15060.5238095238[/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]86007.4[/C][C]-27026.4[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]60147[/C][C]-6632[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]86007.4[/C][C]-25195.4[/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]86007.4[/C][C]-9705.39999999999[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]106787.476190476[/C][C]-2776.47619047618[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]116016.714285714[/C][C]-17912.7142857143[/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]116016.714285714[/C][C]19441.2857142857[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]60147[/C][C]13357[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]124193.777777778[/C][C]-61070.7777777778[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]86007.4[/C][C]-24753.4[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]106787.476190476[/C][C]-31873.4761904762[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]60147[/C][C]-28373[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]86007.4[/C][C]-4570.39999999999[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]106787.476190476[/C][C]-19601.4761904762[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]60147[/C][C]-10057[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]86007.4[/C][C]-20262.4[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]60147[/C][C]-3494[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]106787.476190476[/C][C]51611.5238095238[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]60147[/C][C]-13692[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]86007.4[/C][C]-12383.4[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]60147[/C][C]-21752[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]86007.4[/C][C]5891.60000000001[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]179384[/C][C]-39858[/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]86007.4[/C][C]-15456.4[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]86007.4[/C][C]-1151.39999999999[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]179384[/C][C]-76846[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]60147[/C][C]26531[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]86007.4[/C][C]-298.399999999994[/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]106787.476190476[/C][C]43792.5238095238[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]86007.4[/C][C]13603.6[/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]86007.4[/C][C]13365.6[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]86007.4[/C][C]222.600000000006[/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]86007.4[/C][C]3798.60000000001[/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]86007.4[/C][C]-9017.39999999999[/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]86007.4[/C][C]-1670.39999999999[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]86007.4[/C][C]-21832.4[/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]86007.4[/C][C]-9305.39999999999[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]141926.96969697[/C][C]-38501.9696969697[/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]86007.4[/C][C]18830.6[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]60147[/C][C]2068[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]86007.4[/C][C]-16703.4[/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]86007.4[/C][C]672.600000000006[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]60147[/C][C]23958[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]86007.4[/C][C]-8062.39999999999[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]86007.4[/C][C]3105.60000000001[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]86007.4[/C][C]4997.60000000001[/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]86007.4[/C][C]-35150.4[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]86007.4[/C][C]-29394.4[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]60147[/C][C]2645[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]86007.4[/C][C]-13472.4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231518&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231518&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
1210907170896.540010.5
2120982124193.777777778-3211.77777777778
3176508170896.55611.5
4179321217375.425-38054.425
5123185124193.777777778-1008.77777777778
65274639424.133333333313321.8666666667
7385534321098.062564435.9375
83317019387.413782.6
910164586007.415637.6
10149061141926.969696977134.0303030303
11165446141926.9696969723519.0303030303
12237213217375.42519837.575
13173326141926.9696969731399.0303030303
14133131141926.96969697-8795.9696969697
15258873217375.42541497.575
16180083141926.9696969738156.0303030303
17324799321098.06253700.9375
18230964217375.42513588.575
19236785217375.42519409.575
20135473124193.77777777811279.2222222222
21202925217375.425-14450.425
22215147217375.425-2228.42499999999
23344297252483.41176470691813.5882352941
24153935141926.9696969712008.0303030303
25132943170896.5-37953.5
26174724252483.411764706-77759.4117647059
27174415217375.425-42960.425
28225548252483.411764706-26935.4117647059
29223632217375.4256256.57500000001
30124817141926.96969697-17109.9696969697
31221698217375.4254322.57500000001
32210767217375.425-6608.42499999999
33170266170896.5-630.5
34260561217375.42543185.575
358485386007.4-1154.39999999999
36294424252483.41176470641940.5882352941
3710101186007.415003.6
3821564117938436257
39325107252483.41176470672623.5882352941
40717619387.4-12211.4
41167542141926.9696969725615.0303030303
4210640886007.420400.6
4396560116016.714285714-19456.7142857143
44265769252483.41176470613285.5882352941
45269651321098.0625-51447.0625
46149112141926.969696977185.0303030303
47175824179384-3560
48152871141926.9696969710944.0303030303
4911166586007.425657.6
50116408179384-62976
51362301321098.062541202.9375
527880086007.4-7207.39999999999
53183167217375.425-34208.425
54277965321098.0625-43133.0625
55150629217375.425-66746.425
56168809170896.5-2087.5
572418839424.1333333333-15236.1333333333
58329267252483.41176470676783.5882352941
5965029601474882
6010109786007.415089.6
61218946252483.411764706-33537.4117647059
62244052217375.42526676.575
63341570321098.062520471.9375
6410359786007.417589.6
65233328252483.411764706-19155.4117647059
66256462217375.42539086.575
6720616117938426777
68311473321098.0625-9625.0625
69235800252483.411764706-16683.4117647059
70177939179384-1445
71207176217375.425-10199.425
72196553170896.525656.5
73174184141926.9696969732257.0303030303
74143246170896.5-27650.5
75187559252483.411764706-64924.4117647059
76187681217375.425-29694.425
77119016141926.96969697-22910.9696969697
78182192217375.425-35183.425
797356686007.4-12441.4
80194979217375.425-22396.425
81167488170896.5-3408.5
82143756170896.5-27140.5
83275541217375.42558165.575
84243199217375.42525823.575
85182999141926.9696969741072.0303030303
86135649141926.96969697-6277.9696969697
87152299141926.9696969710372.0303030303
88120221141926.96969697-21705.9696969697
89346485321098.062525386.9375
90145790106787.47619047639002.5238095238
91193339217375.425-24036.425
928095386007.4-5054.39999999999
93122774116016.7142857146757.28571428571
94130585124193.7777777786391.22222222222
9511261186007.426603.6
96286468321098.0625-34630.0625
9724106617938461682
98148446252483.411764706-104037.411764706
9920471317938425329
100182079217375.425-35296.425
101140344141926.96969697-1582.9696969697
102220516252483.411764706-31967.4117647059
103243060217375.42525684.575
104162765170896.5-8131.5
105182613170896.511716.5
106232138217375.42514762.575
107265318321098.0625-55780.0625
10885574106787.476190476-21213.4761904762
109310839321098.0625-10259.0625
110225060217375.4257684.57500000001
111232317217375.42514941.575
112144966141926.969696973039.0303030303
1134328760147-16860
114155754179384-23630
115164709170896.5-6187.5
116201940217375.425-15435.425
117235454217375.42518078.575
11822080117938441417
1199946686007.413458.6
12092661106787.476190476-14126.4761904762
121133328141926.96969697-8598.9696969697
1226136186007.4-24646.4
123125930116016.7142857149913.28571428571
124100750141926.96969697-41176.9696969697
125224549170896.553652.5
1268231686007.4-3691.39999999999
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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')
}