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 computationThu, 08 Dec 2011 10:12:58 -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/08/t1323357207m6azin5c75ibqcq.htm/, Retrieved Fri, 03 May 2024 08:51:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=152986, Retrieved Fri, 03 May 2024 08:51:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact79
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)] [WS 10 - Recursive...] [2011-12-08 15:12:58] [a0aae37dd27f4b65e222573f53b5a13b] [Current]
-           [Recursive Partitioning (Regression Trees)] [WS 10 - Recursive...] [2011-12-08 21:02:10] [74be16979710d4c4e7c6647856088456]
-   P         [Recursive Partitioning (Regression Trees)] [WS 10 - Recursive...] [2011-12-08 22:03:39] [586787d3e7267c593af3e1f6b16aa21a]
-   P           [Recursive Partitioning (Regression Trees)] [WS 10 - Cross Val...] [2011-12-08 22:17:33] [586787d3e7267c593af3e1f6b16aa21a]
-                 [Recursive Partitioning (Regression Trees)] [] [2011-12-08 22:31:54] [586787d3e7267c593af3e1f6b16aa21a]
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Dataseries X:
79	30	146283	1	210907
58	28	98364	1	120982
60	38	86146	1	176508
108	30	96933	1	179321
49	22	79234	1	123185
0	26	42551	1	52746
121	25	195663	1	385534
1	18	6853	1	33170
20	11	21529	0	101645
43	26	95757	1	149061
69	25	85584	1	165446
78	38	143983	1	237213
86	44	75851	1	173326
44	30	59238	1	133131
104	40	93163	1	258873
63	34	96037	1	180083
158	47	151511	1	324799
102	30	136368	1	230964
77	31	112642	1	236785
82	23	94728	1	135473
115	36	105499	1	202925
101	36	121527	1	215147
80	30	127766	1	344297
50	25	98958	1	153935
83	39	77900	1	132943
123	34	85646	1	174724
73	31	98579	1	174415
81	31	130767	1	225548
105	33	131741	1	223632
47	25	53907	1	124817
105	33	178812	1	221698
94	35	146761	1	210767
44	42	82036	1	170266
114	43	163253	1	260561
38	30	27032	1	84853
107	33	171975	1	294424
30	13	65990	0	101011
71	32	86572	1	215641
84	36	159676	1	325107
0	0	1929	0	7176
59	28	85371	1	167542
33	14	58391	1	106408
42	17	31580	0	96560
96	32	136815	1	265769
106	30	120642	1	269651
56	35	69107	1	149112
57	20	50495	0	175824
59	28	108016	1	152871
39	28	46341	1	111665
34	39	78348	1	116408
76	34	79336	1	362301
20	26	56968	1	78800
91	39	93176	1	183167
115	39	161632	1	277965
85	33	87850	1	150629
76	28	127969	1	168809
8	4	15049	1	24188
79	39	155135	1	329267
21	18	25109	1	65029
30	14	45824	1	101097
76	29	102996	1	218946
101	44	160604	1	244052
94	21	158051	0	341570
27	16	44547	0	103597
92	28	162647	1	233328
123	35	174141	1	256462
75	28	60622	1	206161
128	38	179566	1	311473
105	23	184301	1	235800
55	36	75661	1	177939
56	32	96144	1	207176
41	29	129847	1	196553
72	25	117286	1	174184
67	27	71180	1	143246
75	36	109377	1	187559
114	28	85298	1	187681
118	23	73631	1	119016
77	40	86767	1	182192
22	23	23824	1	73566
66	40	93487	1	194979
69	28	82981	1	167488
105	34	73815	1	143756
116	33	94552	1	275541
88	28	132190	1	243199
73	34	128754	1	182999
99	30	66363	1	135649
62	33	67808	1	152299
53	22	61724	1	120221
118	38	131722	1	346485
30	26	68580	1	145790
100	35	106175	1	193339
49	8	55792	1	80953
24	24	25157	1	122774
67	29	76669	1	130585
46	20	57283	0	112611
57	29	105805	1	286468
75	45	129484	1	241066
135	37	72413	1	148446
68	33	87831	1	204713
124	33	96971	1	182079
33	25	71299	1	140344
98	32	77494	1	220516
58	29	120336	1	243060
68	28	93913	1	162765
81	28	136048	1	182613
131	31	181248	1	232138
110	52	146123	1	265318
37	21	32036	0	85574
130	24	186646	1	310839
93	41	102255	1	225060
118	33	168237	1	232317
39	32	64219	1	144966
13	19	19630	1	43287
74	20	76825	1	155754
81	31	115338	1	164709
109	31	109427	1	201940
151	32	118168	1	235454
51	18	84845	0	220801
28	23	153197	1	99466
40	17	29877	0	92661
56	20	63506	0	133328
27	12	22445	0	61361
37	17	47695	0	125930
83	30	68370	1	100750
54	31	146304	1	224549
27	10	38233	0	82316
28	13	42071	0	102010
59	22	50517	0	101523
133	42	103950	1	243511
12	1	5841	1	22938
0	9	2341	0	41566
106	32	84396	1	152474
23	11	24610	1	61857
44	25	35753	0	99923
71	36	55515	1	132487
116	31	209056	1	317394
4	0	6622	1	21054
62	24	115814	1	209641
12	13	11609	0	22648
18	8	13155	1	31414
14	13	18274	0	46698
60	19	72875	0	131698
7	18	10112	0	91735
98	33	142775	1	244749
64	40	68847	1	184510
29	22	17659	0	79863
32	38	20112	1	128423
25	24	61023	1	97839
16	8	13983	1	38214
48	35	65176	1	151101
100	43	132432	1	272458
46	43	112494	1	172494
45	14	45109	0	108043
129	41	170875	1	328107
130	38	180759	1	250579
136	45	214921	1	351067
59	31	100226	1	158015
25	13	32043	0	98866
32	28	54454	1	85439
63	31	78876	1	229242
95	40	170745	1	351619
14	30	6940	1	84207
36	16	49025	0	120445
113	37	122037	1	324598
47	30	53782	1	131069
92	35	127748	1	204271
70	32	86839	1	165543
19	27	44830	1	141722
50	20	77395	0	116048
41	18	89324	0	250047
91	31	103300	1	299775
111	31	112283	1	195838
41	21	10901	1	173260
120	39	120691	1	254488
135	41	58106	1	104389
27	13	57140	0	136084
87	32	122422	1	199476
25	18	25899	0	92499
131	39	139296	1	224330
45	14	52678	0	135781
29	7	23853	0	74408
58	17	17306	0	81240
4	0	7953	1	14688
47	30	89455	1	181633
109	37	147866	1	271856
7	0	4245	1	7199
12	5	21509	1	46660
0	1	7670	1	17547
37	16	66675	0	133368
37	32	14336	1	95227
46	24	53608	1	152601
15	17	30059	0	98146
42	11	29668	0	79619
7	24	22097	0	59194
54	22	96841	0	139942
54	12	41907	0	118612
14	19	27080	0	72880
16	13	35885	0	65475
33	17	41247	0	99643
32	15	28313	0	71965
21	16	36845	0	77272
15	24	16548	0	49289
38	15	36134	0	135131
22	17	55764	0	108446
28	18	28910	0	89746
10	20	13339	0	44296
31	16	25319	0	77648
32	16	66956	0	181528
32	18	47487	0	134019
43	22	52785	0	124064
27	8	44683	0	92630
37	17	35619	0	121848
20	18	21920	0	52915
32	16	45608	0	81872
0	23	7721	0	58981
5	22	20634	0	53515
26	13	29788	0	60812
10	13	31931	0	56375
27	16	37754	0	65490
11	16	32505	0	80949
29	20	40557	0	76302
25	22	94238	0	104011
55	17	44197	0	98104
23	18	43228	0	67989
5	17	4103	0	30989
43	12	44144	0	135458
23	7	32868	0	73504
34	17	27640	0	63123
36	14	14063	0	61254
35	23	28990	0	74914
0	17	4694	0	31774
37	14	42648	0	81437
28	15	64329	0	87186
16	17	21928	0	50090
26	21	25836	0	65745
38	18	22779	0	56653
23	18	40820	0	158399
22	17	27530	0	46455
30	17	32378	0	73624
16	16	10824	0	38395
18	15	39613	0	91899
28	21	60865	0	139526
32	16	19787	0	52164
21	14	20107	0	51567
23	15	36605	0	70551
29	17	40961	0	84856
50	15	48231	0	102538
12	15	39725	0	86678
21	10	21455	0	85709
18	6	23430	0	34662
27	22	62991	0	150580
41	21	49363	0	99611
13	1	9604	0	19349
12	18	24552	0	99373
21	17	31493	0	86230
8	4	3439	0	30837
26	10	19555	0	31706
27	16	21228	0	89806
13	16	23177	0	62088
16	9	22094	0	40151
2	16	2342	0	27634
42	17	38798	0	76990
5	7	3255	0	37460
37	15	24261	0	54157
17	14	18511	0	49862
38	14	40798	0	84337
37	18	28893	0	64175
29	12	21425	0	59382
32	16	50276	0	119308
35	21	37643	0	76702
17	19	30377	0	103425
20	16	27126	0	70344
7	1	13	0	43410
46	16	42097	0	104838
24	10	24451	0	62215
40	19	14335	0	69304
3	12	5084	0	53117
10	2	9927	0	19764
37	14	43527	0	86680
17	17	27184	0	84105
28	19	21610	0	77945
19	14	20484	0	89113
29	11	20156	0	91005
8	4	6012	0	40248
10	16	18475	0	64187
15	20	12645	0	50857
15	12	11017	0	56613
28	15	37623	0	62792
17	16	35873	0	72535




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 5 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=152986&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=152986&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=152986&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Goodness of Fit
Correlation0.9139
R-squared0.8353
RMSE33362.96

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.9139 \tabularnewline
R-squared & 0.8353 \tabularnewline
RMSE & 33362.96 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=152986&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.9139[/C][/ROW]
[ROW][C]R-squared[/C][C]0.8353[/C][/ROW]
[ROW][C]RMSE[/C][C]33362.96[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=152986&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=152986&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
Correlation0.9139
R-squared0.8353
RMSE33362.96







Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
1210907246878.818181818-35971.8181818182
2120982189887.018181818-68905.0181818182
3176508189887.018181818-13379.0181818182
4179321189887.018181818-10566.0181818182
5123185189887.018181818-66702.0181818182
65274674967.7777777778-22221.7777777778
7385534290780.69565217494753.3043478261
83317047789.08-14619.08
910164583261.955223880618383.0447761194
10149061189887.018181818-40826.0181818182
11165446189887.018181818-24441.0181818182
12237213246878.818181818-9665.81818181818
1317332615112122205
14133131122664.3610466.64
15258873189887.01818181868985.9818181818
16180083189887.018181818-9804.01818181819
17324799290780.69565217434018.3043478261
18230964246878.818181818-15914.8181818182
19236785189887.01818181846897.9818181818
20135473189887.018181818-54414.0181818182
21202925189887.01818181813037.9818181818
22215147246878.818181818-31731.8181818182
23344297246878.81818181897418.1818181818
24153935189887.018181818-35952.0181818182
25132943189887.018181818-56944.0181818182
26174724189887.018181818-15163.0181818182
27174415189887.018181818-15472.0181818182
28225548246878.818181818-21330.8181818182
29223632246878.818181818-23246.8181818182
30124817122664.362152.64
31221698290780.695652174-69082.6956521739
32210767246878.818181818-36111.8181818182
33170266189887.018181818-19621.0181818182
34260561290780.695652174-30219.6956521739
358485383261.95522388061591.04477611941
36294424290780.6956521743643.30434782611
37101011122664.36-21653.36
38215641189887.01818181825753.9818181818
39325107290780.69565217434326.3043478261
40717622366.5-15190.5
41167542189887.018181818-22345.0181818182
42106408122664.36-16256.36
439656083261.955223880613298.0447761194
44265769246878.81818181818890.1818181818
45269651246878.81818181822772.1818181818
46149112151121-2009
47175824122664.3653159.64
48152871189887.018181818-37016.0181818182
49111665122664.36-10999.36
50116408189887.018181818-73479.0181818182
51362301189887.018181818172413.981818182
5278800122664.36-43864.36
53183167189887.018181818-6720.01818181819
54277965290780.695652174-12815.6956521739
55150629189887.018181818-39258.0181818182
56168809193786-24977
572418822366.51821.5
58329267290780.69565217438486.3043478261
596502983261.9552238806-18232.9552238806
60101097122664.36-21567.36
61218946189887.01818181829058.9818181818
62244052290780.695652174-46728.6956521739
63341570290780.69565217450789.3043478261
64103597122664.36-19067.36
65233328290780.695652174-57452.6956521739
66256462290780.695652174-34318.6956521739
67206161122664.3683496.64
68311473290780.69565217420692.3043478261
69235800290780.695652174-54980.6956521739
7017793915112126818
71207176189887.01818181817288.9818181818
721965531937862767
73174184189887.018181818-15703.0181818182
74143246122664.3620581.64
75187559189887.018181818-2328.01818181819
76187681189887.018181818-2206.01818181819
77119016122664.36-3648.36
78182192189887.018181818-7695.01818181819
797356683261.9552238806-9695.95522388059
80194979189887.0181818185091.98181818181
81167488189887.018181818-22399.0181818182
82143756151121-7365
83275541189887.01818181885653.9818181818
84243199246878.818181818-3679.81818181818
85182999193786-10787
86135649122664.3612984.64
871522991511211178
88120221122664.36-2443.36
89346485246878.81818181899606.1818181818
90145790122664.3623125.64
91193339189887.0181818183451.98181818181
9280953122664.36-41711.36
9312277483261.955223880639512.0447761194
94130585122664.367920.64
95112611122664.36-10053.36
96286468189887.01818181896580.9818181818
9724106619378647280
98148446151121-2675
99204713189887.01818181814825.9818181818
100182079189887.018181818-7808.01818181819
101140344122664.3617679.64
102220516189887.01818181830628.9818181818
10324306019378649274
104162765189887.018181818-27122.0181818182
105182613246878.818181818-64265.8181818182
106232138290780.695652174-58642.6956521739
107265318246878.81818181818439.1818181818
1088557483261.95522388062312.04477611941
109310839290780.69565217420058.3043478261
110225060189887.01818181835172.9818181818
111232317290780.695652174-58463.6956521739
112144966151121-6155
1134328747789.08-4502.08
114155754122664.3633089.64
115164709189887.018181818-25178.0181818182
116201940189887.01818181812052.9818181818
117235454246878.818181818-11424.8181818182
118220801189887.01818181830913.9818181818
11999466193786-94320
1209266183261.95522388069399.04477611941
121133328122664.3610663.64
1226136183261.9552238806-21900.9552238806
123125930122664.363265.64
124100750122664.36-21914.36
12522454919378630763
1268231659491.7522824.25
12710201083261.955223880618748.0447761194
128101523122664.36-21141.36
129243511189887.01818181853623.9818181818
1302293822366.5571.5
1314156647789.08-6223.08
132152474189887.018181818-37413.0181818182
1336185783261.9552238806-21404.9552238806
1349992383261.955223880616661.0447761194
135132487151121-18634
136317394290780.69565217426613.3043478261
1372105422366.5-1312.5
138209641189887.01818181819753.9818181818
1392264847789.08-25141.08
1403141459491.75-28077.75
1414669847789.08-1091.08
142131698122664.369033.64
1439173547789.0843945.92
144244749246878.818181818-2129.81818181818
14518451015112133389
1467986383261.9552238806-3398.95522388059
14712842383261.955223880645161.0447761194
14897839122664.36-24825.36
1493821447789.08-9575.08
150151101151121-20
151272458246878.81818181825579.1818181818
152172494189887.018181818-17393.0181818182
153108043122664.36-14621.36
154328107290780.69565217437326.3043478261
155250579290780.695652174-40201.6956521739
156351067290780.69565217460286.3043478261
157158015189887.018181818-31872.0181818182
1589886683261.955223880615604.0447761194
15985439122664.36-37225.36
160229242189887.01818181839354.9818181818
161351619290780.69565217460838.3043478261
1628420747789.0836417.92
163120445122664.36-2219.36
164324598246878.81818181877719.1818181818
165131069122664.368404.64
166204271246878.818181818-42607.8181818182
167165543189887.018181818-24344.0181818182
168141722122664.3619057.64
169116048122664.36-6616.36
170250047189887.01818181860159.9818181818
171299775189887.018181818109887.981818182
172195838189887.0181818185950.98181818181
17317326083261.955223880689998.0447761194
174254488246878.8181818187609.18181818182
175104389151121-46732
176136084122664.3613419.64
177199476246878.818181818-47402.8181818182
1789249983261.95522388069237.04477611941
179224330246878.818181818-22548.8181818182
180135781122664.3613116.64
1817440859491.7514916.25
1828124083261.9552238806-2021.95522388059
1831468822366.5-7678.5
184181633189887.018181818-8254.01818181819
185271856290780.695652174-18924.6956521739
186719922366.5-15167.5
1874666047789.08-1129.08
1881754722366.5-4819.5
189133368122664.3610703.64
1909522783261.955223880611965.0447761194
191152601122664.3629936.64
1929814674967.777777777823178.2222222222
1937961983261.9552238806-3642.95522388059
1945919447789.0811404.92
195139942189887.018181818-49945.0181818182
19611861283261.955223880635350.0447761194
1977288074967.7777777778-2087.77777777778
1986547574967.7777777778-9492.77777777778
1999964383261.955223880616381.0447761194
2007196583261.9552238806-11296.9552238806
2017727283261.9552238806-5989.95522388059
2024928947789.081499.92
20313513183261.955223880651869.0447761194
204108446122664.36-14218.36
2058974683261.95522388066484.04477611941
2064429647789.08-3493.08
2077764883261.9552238806-5613.95522388059
208181528122664.3658863.64
209134019122664.3611354.64
210124064122664.361399.64
21192630122664.36-30034.36
21212184883261.955223880638586.0447761194
2135291583261.9552238806-30346.9552238806
21481872122664.36-40792.36
2155898147789.0811191.92
2165351547789.085725.92
2176081283261.9552238806-22449.9552238806
2185637574967.7777777778-18592.7777777778
2196549083261.9552238806-17771.9552238806
2208094974967.77777777785981.22222222222
2217630283261.9552238806-6959.95522388059
222104011189887.018181818-85876.0181818182
22398104122664.36-24560.36
2246798983261.9552238806-15272.9552238806
2253098947789.08-16800.08
226135458122664.3612793.64
2277350459491.7514012.25
2286312383261.9552238806-20138.9552238806
2296125483261.9552238806-22007.9552238806
2307491483261.9552238806-8347.95522388059
2313177447789.08-16015.08
2328143783261.9552238806-1824.95522388059
23387186122664.36-35478.36
2345009047789.082300.92
2356574583261.9552238806-17516.9552238806
2365665383261.9552238806-26608.9552238806
23715839983261.955223880675137.0447761194
2384645583261.9552238806-36806.9552238806
2397362483261.9552238806-9637.95522388059
2403839547789.08-9394.08
2419189983261.95522388068637.04477611941
242139526122664.3616861.64
2435216483261.9552238806-31097.9552238806
2445156783261.9552238806-31694.9552238806
2457055183261.9552238806-12710.9552238806
2468485683261.95522388061594.04477611941
247102538122664.36-20126.36
2488667874967.777777777811710.2222222222
2498570959491.7526217.25
2503466259491.75-24829.75
251150580122664.3627915.64
25299611122664.36-23053.36
2531934922366.5-3017.5
2549937374967.777777777824405.2222222222
2558623083261.95522388062968.04477611941
2563083722366.58470.5
2573170659491.75-27785.75
2588980683261.95522388066544.04477611941
2596208874967.7777777778-12879.7777777778
2604015147789.08-7638.08
2612763447789.08-20155.08
2627699083261.9552238806-6271.95522388059
2633746047789.08-10329.08
2645415783261.9552238806-29104.9552238806
2654986283261.9552238806-33399.9552238806
2668433783261.95522388061075.04477611941
2676417583261.9552238806-19086.9552238806
2685938283261.9552238806-23879.9552238806
269119308122664.36-3356.36
2707670283261.9552238806-6559.95522388059
27110342583261.955223880620163.0447761194
2727034483261.9552238806-12917.9552238806
2734341022366.521043.5
27410483883261.955223880621576.0447761194
2756221559491.752723.25
2766930483261.9552238806-13957.9552238806
2775311747789.085327.92
2781976422366.5-2602.5
2798668083261.95522388063418.04477611941
2808410583261.9552238806843.044776119408
2817794583261.9552238806-5316.95522388059
2828911383261.95522388065851.04477611941
2839100583261.95522388067743.04477611941
2844024822366.517881.5
2856418747789.0816397.92
2865085747789.083067.92
2875661347789.088823.92
2886279283261.9552238806-20469.9552238806
2897253583261.9552238806-10726.9552238806

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 210907 & 246878.818181818 & -35971.8181818182 \tabularnewline
2 & 120982 & 189887.018181818 & -68905.0181818182 \tabularnewline
3 & 176508 & 189887.018181818 & -13379.0181818182 \tabularnewline
4 & 179321 & 189887.018181818 & -10566.0181818182 \tabularnewline
5 & 123185 & 189887.018181818 & -66702.0181818182 \tabularnewline
6 & 52746 & 74967.7777777778 & -22221.7777777778 \tabularnewline
7 & 385534 & 290780.695652174 & 94753.3043478261 \tabularnewline
8 & 33170 & 47789.08 & -14619.08 \tabularnewline
9 & 101645 & 83261.9552238806 & 18383.0447761194 \tabularnewline
10 & 149061 & 189887.018181818 & -40826.0181818182 \tabularnewline
11 & 165446 & 189887.018181818 & -24441.0181818182 \tabularnewline
12 & 237213 & 246878.818181818 & -9665.81818181818 \tabularnewline
13 & 173326 & 151121 & 22205 \tabularnewline
14 & 133131 & 122664.36 & 10466.64 \tabularnewline
15 & 258873 & 189887.018181818 & 68985.9818181818 \tabularnewline
16 & 180083 & 189887.018181818 & -9804.01818181819 \tabularnewline
17 & 324799 & 290780.695652174 & 34018.3043478261 \tabularnewline
18 & 230964 & 246878.818181818 & -15914.8181818182 \tabularnewline
19 & 236785 & 189887.018181818 & 46897.9818181818 \tabularnewline
20 & 135473 & 189887.018181818 & -54414.0181818182 \tabularnewline
21 & 202925 & 189887.018181818 & 13037.9818181818 \tabularnewline
22 & 215147 & 246878.818181818 & -31731.8181818182 \tabularnewline
23 & 344297 & 246878.818181818 & 97418.1818181818 \tabularnewline
24 & 153935 & 189887.018181818 & -35952.0181818182 \tabularnewline
25 & 132943 & 189887.018181818 & -56944.0181818182 \tabularnewline
26 & 174724 & 189887.018181818 & -15163.0181818182 \tabularnewline
27 & 174415 & 189887.018181818 & -15472.0181818182 \tabularnewline
28 & 225548 & 246878.818181818 & -21330.8181818182 \tabularnewline
29 & 223632 & 246878.818181818 & -23246.8181818182 \tabularnewline
30 & 124817 & 122664.36 & 2152.64 \tabularnewline
31 & 221698 & 290780.695652174 & -69082.6956521739 \tabularnewline
32 & 210767 & 246878.818181818 & -36111.8181818182 \tabularnewline
33 & 170266 & 189887.018181818 & -19621.0181818182 \tabularnewline
34 & 260561 & 290780.695652174 & -30219.6956521739 \tabularnewline
35 & 84853 & 83261.9552238806 & 1591.04477611941 \tabularnewline
36 & 294424 & 290780.695652174 & 3643.30434782611 \tabularnewline
37 & 101011 & 122664.36 & -21653.36 \tabularnewline
38 & 215641 & 189887.018181818 & 25753.9818181818 \tabularnewline
39 & 325107 & 290780.695652174 & 34326.3043478261 \tabularnewline
40 & 7176 & 22366.5 & -15190.5 \tabularnewline
41 & 167542 & 189887.018181818 & -22345.0181818182 \tabularnewline
42 & 106408 & 122664.36 & -16256.36 \tabularnewline
43 & 96560 & 83261.9552238806 & 13298.0447761194 \tabularnewline
44 & 265769 & 246878.818181818 & 18890.1818181818 \tabularnewline
45 & 269651 & 246878.818181818 & 22772.1818181818 \tabularnewline
46 & 149112 & 151121 & -2009 \tabularnewline
47 & 175824 & 122664.36 & 53159.64 \tabularnewline
48 & 152871 & 189887.018181818 & -37016.0181818182 \tabularnewline
49 & 111665 & 122664.36 & -10999.36 \tabularnewline
50 & 116408 & 189887.018181818 & -73479.0181818182 \tabularnewline
51 & 362301 & 189887.018181818 & 172413.981818182 \tabularnewline
52 & 78800 & 122664.36 & -43864.36 \tabularnewline
53 & 183167 & 189887.018181818 & -6720.01818181819 \tabularnewline
54 & 277965 & 290780.695652174 & -12815.6956521739 \tabularnewline
55 & 150629 & 189887.018181818 & -39258.0181818182 \tabularnewline
56 & 168809 & 193786 & -24977 \tabularnewline
57 & 24188 & 22366.5 & 1821.5 \tabularnewline
58 & 329267 & 290780.695652174 & 38486.3043478261 \tabularnewline
59 & 65029 & 83261.9552238806 & -18232.9552238806 \tabularnewline
60 & 101097 & 122664.36 & -21567.36 \tabularnewline
61 & 218946 & 189887.018181818 & 29058.9818181818 \tabularnewline
62 & 244052 & 290780.695652174 & -46728.6956521739 \tabularnewline
63 & 341570 & 290780.695652174 & 50789.3043478261 \tabularnewline
64 & 103597 & 122664.36 & -19067.36 \tabularnewline
65 & 233328 & 290780.695652174 & -57452.6956521739 \tabularnewline
66 & 256462 & 290780.695652174 & -34318.6956521739 \tabularnewline
67 & 206161 & 122664.36 & 83496.64 \tabularnewline
68 & 311473 & 290780.695652174 & 20692.3043478261 \tabularnewline
69 & 235800 & 290780.695652174 & -54980.6956521739 \tabularnewline
70 & 177939 & 151121 & 26818 \tabularnewline
71 & 207176 & 189887.018181818 & 17288.9818181818 \tabularnewline
72 & 196553 & 193786 & 2767 \tabularnewline
73 & 174184 & 189887.018181818 & -15703.0181818182 \tabularnewline
74 & 143246 & 122664.36 & 20581.64 \tabularnewline
75 & 187559 & 189887.018181818 & -2328.01818181819 \tabularnewline
76 & 187681 & 189887.018181818 & -2206.01818181819 \tabularnewline
77 & 119016 & 122664.36 & -3648.36 \tabularnewline
78 & 182192 & 189887.018181818 & -7695.01818181819 \tabularnewline
79 & 73566 & 83261.9552238806 & -9695.95522388059 \tabularnewline
80 & 194979 & 189887.018181818 & 5091.98181818181 \tabularnewline
81 & 167488 & 189887.018181818 & -22399.0181818182 \tabularnewline
82 & 143756 & 151121 & -7365 \tabularnewline
83 & 275541 & 189887.018181818 & 85653.9818181818 \tabularnewline
84 & 243199 & 246878.818181818 & -3679.81818181818 \tabularnewline
85 & 182999 & 193786 & -10787 \tabularnewline
86 & 135649 & 122664.36 & 12984.64 \tabularnewline
87 & 152299 & 151121 & 1178 \tabularnewline
88 & 120221 & 122664.36 & -2443.36 \tabularnewline
89 & 346485 & 246878.818181818 & 99606.1818181818 \tabularnewline
90 & 145790 & 122664.36 & 23125.64 \tabularnewline
91 & 193339 & 189887.018181818 & 3451.98181818181 \tabularnewline
92 & 80953 & 122664.36 & -41711.36 \tabularnewline
93 & 122774 & 83261.9552238806 & 39512.0447761194 \tabularnewline
94 & 130585 & 122664.36 & 7920.64 \tabularnewline
95 & 112611 & 122664.36 & -10053.36 \tabularnewline
96 & 286468 & 189887.018181818 & 96580.9818181818 \tabularnewline
97 & 241066 & 193786 & 47280 \tabularnewline
98 & 148446 & 151121 & -2675 \tabularnewline
99 & 204713 & 189887.018181818 & 14825.9818181818 \tabularnewline
100 & 182079 & 189887.018181818 & -7808.01818181819 \tabularnewline
101 & 140344 & 122664.36 & 17679.64 \tabularnewline
102 & 220516 & 189887.018181818 & 30628.9818181818 \tabularnewline
103 & 243060 & 193786 & 49274 \tabularnewline
104 & 162765 & 189887.018181818 & -27122.0181818182 \tabularnewline
105 & 182613 & 246878.818181818 & -64265.8181818182 \tabularnewline
106 & 232138 & 290780.695652174 & -58642.6956521739 \tabularnewline
107 & 265318 & 246878.818181818 & 18439.1818181818 \tabularnewline
108 & 85574 & 83261.9552238806 & 2312.04477611941 \tabularnewline
109 & 310839 & 290780.695652174 & 20058.3043478261 \tabularnewline
110 & 225060 & 189887.018181818 & 35172.9818181818 \tabularnewline
111 & 232317 & 290780.695652174 & -58463.6956521739 \tabularnewline
112 & 144966 & 151121 & -6155 \tabularnewline
113 & 43287 & 47789.08 & -4502.08 \tabularnewline
114 & 155754 & 122664.36 & 33089.64 \tabularnewline
115 & 164709 & 189887.018181818 & -25178.0181818182 \tabularnewline
116 & 201940 & 189887.018181818 & 12052.9818181818 \tabularnewline
117 & 235454 & 246878.818181818 & -11424.8181818182 \tabularnewline
118 & 220801 & 189887.018181818 & 30913.9818181818 \tabularnewline
119 & 99466 & 193786 & -94320 \tabularnewline
120 & 92661 & 83261.9552238806 & 9399.04477611941 \tabularnewline
121 & 133328 & 122664.36 & 10663.64 \tabularnewline
122 & 61361 & 83261.9552238806 & -21900.9552238806 \tabularnewline
123 & 125930 & 122664.36 & 3265.64 \tabularnewline
124 & 100750 & 122664.36 & -21914.36 \tabularnewline
125 & 224549 & 193786 & 30763 \tabularnewline
126 & 82316 & 59491.75 & 22824.25 \tabularnewline
127 & 102010 & 83261.9552238806 & 18748.0447761194 \tabularnewline
128 & 101523 & 122664.36 & -21141.36 \tabularnewline
129 & 243511 & 189887.018181818 & 53623.9818181818 \tabularnewline
130 & 22938 & 22366.5 & 571.5 \tabularnewline
131 & 41566 & 47789.08 & -6223.08 \tabularnewline
132 & 152474 & 189887.018181818 & -37413.0181818182 \tabularnewline
133 & 61857 & 83261.9552238806 & -21404.9552238806 \tabularnewline
134 & 99923 & 83261.9552238806 & 16661.0447761194 \tabularnewline
135 & 132487 & 151121 & -18634 \tabularnewline
136 & 317394 & 290780.695652174 & 26613.3043478261 \tabularnewline
137 & 21054 & 22366.5 & -1312.5 \tabularnewline
138 & 209641 & 189887.018181818 & 19753.9818181818 \tabularnewline
139 & 22648 & 47789.08 & -25141.08 \tabularnewline
140 & 31414 & 59491.75 & -28077.75 \tabularnewline
141 & 46698 & 47789.08 & -1091.08 \tabularnewline
142 & 131698 & 122664.36 & 9033.64 \tabularnewline
143 & 91735 & 47789.08 & 43945.92 \tabularnewline
144 & 244749 & 246878.818181818 & -2129.81818181818 \tabularnewline
145 & 184510 & 151121 & 33389 \tabularnewline
146 & 79863 & 83261.9552238806 & -3398.95522388059 \tabularnewline
147 & 128423 & 83261.9552238806 & 45161.0447761194 \tabularnewline
148 & 97839 & 122664.36 & -24825.36 \tabularnewline
149 & 38214 & 47789.08 & -9575.08 \tabularnewline
150 & 151101 & 151121 & -20 \tabularnewline
151 & 272458 & 246878.818181818 & 25579.1818181818 \tabularnewline
152 & 172494 & 189887.018181818 & -17393.0181818182 \tabularnewline
153 & 108043 & 122664.36 & -14621.36 \tabularnewline
154 & 328107 & 290780.695652174 & 37326.3043478261 \tabularnewline
155 & 250579 & 290780.695652174 & -40201.6956521739 \tabularnewline
156 & 351067 & 290780.695652174 & 60286.3043478261 \tabularnewline
157 & 158015 & 189887.018181818 & -31872.0181818182 \tabularnewline
158 & 98866 & 83261.9552238806 & 15604.0447761194 \tabularnewline
159 & 85439 & 122664.36 & -37225.36 \tabularnewline
160 & 229242 & 189887.018181818 & 39354.9818181818 \tabularnewline
161 & 351619 & 290780.695652174 & 60838.3043478261 \tabularnewline
162 & 84207 & 47789.08 & 36417.92 \tabularnewline
163 & 120445 & 122664.36 & -2219.36 \tabularnewline
164 & 324598 & 246878.818181818 & 77719.1818181818 \tabularnewline
165 & 131069 & 122664.36 & 8404.64 \tabularnewline
166 & 204271 & 246878.818181818 & -42607.8181818182 \tabularnewline
167 & 165543 & 189887.018181818 & -24344.0181818182 \tabularnewline
168 & 141722 & 122664.36 & 19057.64 \tabularnewline
169 & 116048 & 122664.36 & -6616.36 \tabularnewline
170 & 250047 & 189887.018181818 & 60159.9818181818 \tabularnewline
171 & 299775 & 189887.018181818 & 109887.981818182 \tabularnewline
172 & 195838 & 189887.018181818 & 5950.98181818181 \tabularnewline
173 & 173260 & 83261.9552238806 & 89998.0447761194 \tabularnewline
174 & 254488 & 246878.818181818 & 7609.18181818182 \tabularnewline
175 & 104389 & 151121 & -46732 \tabularnewline
176 & 136084 & 122664.36 & 13419.64 \tabularnewline
177 & 199476 & 246878.818181818 & -47402.8181818182 \tabularnewline
178 & 92499 & 83261.9552238806 & 9237.04477611941 \tabularnewline
179 & 224330 & 246878.818181818 & -22548.8181818182 \tabularnewline
180 & 135781 & 122664.36 & 13116.64 \tabularnewline
181 & 74408 & 59491.75 & 14916.25 \tabularnewline
182 & 81240 & 83261.9552238806 & -2021.95522388059 \tabularnewline
183 & 14688 & 22366.5 & -7678.5 \tabularnewline
184 & 181633 & 189887.018181818 & -8254.01818181819 \tabularnewline
185 & 271856 & 290780.695652174 & -18924.6956521739 \tabularnewline
186 & 7199 & 22366.5 & -15167.5 \tabularnewline
187 & 46660 & 47789.08 & -1129.08 \tabularnewline
188 & 17547 & 22366.5 & -4819.5 \tabularnewline
189 & 133368 & 122664.36 & 10703.64 \tabularnewline
190 & 95227 & 83261.9552238806 & 11965.0447761194 \tabularnewline
191 & 152601 & 122664.36 & 29936.64 \tabularnewline
192 & 98146 & 74967.7777777778 & 23178.2222222222 \tabularnewline
193 & 79619 & 83261.9552238806 & -3642.95522388059 \tabularnewline
194 & 59194 & 47789.08 & 11404.92 \tabularnewline
195 & 139942 & 189887.018181818 & -49945.0181818182 \tabularnewline
196 & 118612 & 83261.9552238806 & 35350.0447761194 \tabularnewline
197 & 72880 & 74967.7777777778 & -2087.77777777778 \tabularnewline
198 & 65475 & 74967.7777777778 & -9492.77777777778 \tabularnewline
199 & 99643 & 83261.9552238806 & 16381.0447761194 \tabularnewline
200 & 71965 & 83261.9552238806 & -11296.9552238806 \tabularnewline
201 & 77272 & 83261.9552238806 & -5989.95522388059 \tabularnewline
202 & 49289 & 47789.08 & 1499.92 \tabularnewline
203 & 135131 & 83261.9552238806 & 51869.0447761194 \tabularnewline
204 & 108446 & 122664.36 & -14218.36 \tabularnewline
205 & 89746 & 83261.9552238806 & 6484.04477611941 \tabularnewline
206 & 44296 & 47789.08 & -3493.08 \tabularnewline
207 & 77648 & 83261.9552238806 & -5613.95522388059 \tabularnewline
208 & 181528 & 122664.36 & 58863.64 \tabularnewline
209 & 134019 & 122664.36 & 11354.64 \tabularnewline
210 & 124064 & 122664.36 & 1399.64 \tabularnewline
211 & 92630 & 122664.36 & -30034.36 \tabularnewline
212 & 121848 & 83261.9552238806 & 38586.0447761194 \tabularnewline
213 & 52915 & 83261.9552238806 & -30346.9552238806 \tabularnewline
214 & 81872 & 122664.36 & -40792.36 \tabularnewline
215 & 58981 & 47789.08 & 11191.92 \tabularnewline
216 & 53515 & 47789.08 & 5725.92 \tabularnewline
217 & 60812 & 83261.9552238806 & -22449.9552238806 \tabularnewline
218 & 56375 & 74967.7777777778 & -18592.7777777778 \tabularnewline
219 & 65490 & 83261.9552238806 & -17771.9552238806 \tabularnewline
220 & 80949 & 74967.7777777778 & 5981.22222222222 \tabularnewline
221 & 76302 & 83261.9552238806 & -6959.95522388059 \tabularnewline
222 & 104011 & 189887.018181818 & -85876.0181818182 \tabularnewline
223 & 98104 & 122664.36 & -24560.36 \tabularnewline
224 & 67989 & 83261.9552238806 & -15272.9552238806 \tabularnewline
225 & 30989 & 47789.08 & -16800.08 \tabularnewline
226 & 135458 & 122664.36 & 12793.64 \tabularnewline
227 & 73504 & 59491.75 & 14012.25 \tabularnewline
228 & 63123 & 83261.9552238806 & -20138.9552238806 \tabularnewline
229 & 61254 & 83261.9552238806 & -22007.9552238806 \tabularnewline
230 & 74914 & 83261.9552238806 & -8347.95522388059 \tabularnewline
231 & 31774 & 47789.08 & -16015.08 \tabularnewline
232 & 81437 & 83261.9552238806 & -1824.95522388059 \tabularnewline
233 & 87186 & 122664.36 & -35478.36 \tabularnewline
234 & 50090 & 47789.08 & 2300.92 \tabularnewline
235 & 65745 & 83261.9552238806 & -17516.9552238806 \tabularnewline
236 & 56653 & 83261.9552238806 & -26608.9552238806 \tabularnewline
237 & 158399 & 83261.9552238806 & 75137.0447761194 \tabularnewline
238 & 46455 & 83261.9552238806 & -36806.9552238806 \tabularnewline
239 & 73624 & 83261.9552238806 & -9637.95522388059 \tabularnewline
240 & 38395 & 47789.08 & -9394.08 \tabularnewline
241 & 91899 & 83261.9552238806 & 8637.04477611941 \tabularnewline
242 & 139526 & 122664.36 & 16861.64 \tabularnewline
243 & 52164 & 83261.9552238806 & -31097.9552238806 \tabularnewline
244 & 51567 & 83261.9552238806 & -31694.9552238806 \tabularnewline
245 & 70551 & 83261.9552238806 & -12710.9552238806 \tabularnewline
246 & 84856 & 83261.9552238806 & 1594.04477611941 \tabularnewline
247 & 102538 & 122664.36 & -20126.36 \tabularnewline
248 & 86678 & 74967.7777777778 & 11710.2222222222 \tabularnewline
249 & 85709 & 59491.75 & 26217.25 \tabularnewline
250 & 34662 & 59491.75 & -24829.75 \tabularnewline
251 & 150580 & 122664.36 & 27915.64 \tabularnewline
252 & 99611 & 122664.36 & -23053.36 \tabularnewline
253 & 19349 & 22366.5 & -3017.5 \tabularnewline
254 & 99373 & 74967.7777777778 & 24405.2222222222 \tabularnewline
255 & 86230 & 83261.9552238806 & 2968.04477611941 \tabularnewline
256 & 30837 & 22366.5 & 8470.5 \tabularnewline
257 & 31706 & 59491.75 & -27785.75 \tabularnewline
258 & 89806 & 83261.9552238806 & 6544.04477611941 \tabularnewline
259 & 62088 & 74967.7777777778 & -12879.7777777778 \tabularnewline
260 & 40151 & 47789.08 & -7638.08 \tabularnewline
261 & 27634 & 47789.08 & -20155.08 \tabularnewline
262 & 76990 & 83261.9552238806 & -6271.95522388059 \tabularnewline
263 & 37460 & 47789.08 & -10329.08 \tabularnewline
264 & 54157 & 83261.9552238806 & -29104.9552238806 \tabularnewline
265 & 49862 & 83261.9552238806 & -33399.9552238806 \tabularnewline
266 & 84337 & 83261.9552238806 & 1075.04477611941 \tabularnewline
267 & 64175 & 83261.9552238806 & -19086.9552238806 \tabularnewline
268 & 59382 & 83261.9552238806 & -23879.9552238806 \tabularnewline
269 & 119308 & 122664.36 & -3356.36 \tabularnewline
270 & 76702 & 83261.9552238806 & -6559.95522388059 \tabularnewline
271 & 103425 & 83261.9552238806 & 20163.0447761194 \tabularnewline
272 & 70344 & 83261.9552238806 & -12917.9552238806 \tabularnewline
273 & 43410 & 22366.5 & 21043.5 \tabularnewline
274 & 104838 & 83261.9552238806 & 21576.0447761194 \tabularnewline
275 & 62215 & 59491.75 & 2723.25 \tabularnewline
276 & 69304 & 83261.9552238806 & -13957.9552238806 \tabularnewline
277 & 53117 & 47789.08 & 5327.92 \tabularnewline
278 & 19764 & 22366.5 & -2602.5 \tabularnewline
279 & 86680 & 83261.9552238806 & 3418.04477611941 \tabularnewline
280 & 84105 & 83261.9552238806 & 843.044776119408 \tabularnewline
281 & 77945 & 83261.9552238806 & -5316.95522388059 \tabularnewline
282 & 89113 & 83261.9552238806 & 5851.04477611941 \tabularnewline
283 & 91005 & 83261.9552238806 & 7743.04477611941 \tabularnewline
284 & 40248 & 22366.5 & 17881.5 \tabularnewline
285 & 64187 & 47789.08 & 16397.92 \tabularnewline
286 & 50857 & 47789.08 & 3067.92 \tabularnewline
287 & 56613 & 47789.08 & 8823.92 \tabularnewline
288 & 62792 & 83261.9552238806 & -20469.9552238806 \tabularnewline
289 & 72535 & 83261.9552238806 & -10726.9552238806 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=152986&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]246878.818181818[/C][C]-35971.8181818182[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]189887.018181818[/C][C]-68905.0181818182[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]189887.018181818[/C][C]-13379.0181818182[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]189887.018181818[/C][C]-10566.0181818182[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]189887.018181818[/C][C]-66702.0181818182[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]74967.7777777778[/C][C]-22221.7777777778[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]290780.695652174[/C][C]94753.3043478261[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]47789.08[/C][C]-14619.08[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]83261.9552238806[/C][C]18383.0447761194[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]189887.018181818[/C][C]-40826.0181818182[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]189887.018181818[/C][C]-24441.0181818182[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]246878.818181818[/C][C]-9665.81818181818[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]151121[/C][C]22205[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]122664.36[/C][C]10466.64[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]189887.018181818[/C][C]68985.9818181818[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]189887.018181818[/C][C]-9804.01818181819[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]290780.695652174[/C][C]34018.3043478261[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]246878.818181818[/C][C]-15914.8181818182[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]189887.018181818[/C][C]46897.9818181818[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]189887.018181818[/C][C]-54414.0181818182[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]189887.018181818[/C][C]13037.9818181818[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]246878.818181818[/C][C]-31731.8181818182[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]246878.818181818[/C][C]97418.1818181818[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]189887.018181818[/C][C]-35952.0181818182[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]189887.018181818[/C][C]-56944.0181818182[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]189887.018181818[/C][C]-15163.0181818182[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]189887.018181818[/C][C]-15472.0181818182[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]246878.818181818[/C][C]-21330.8181818182[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]246878.818181818[/C][C]-23246.8181818182[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]122664.36[/C][C]2152.64[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]290780.695652174[/C][C]-69082.6956521739[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]246878.818181818[/C][C]-36111.8181818182[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]189887.018181818[/C][C]-19621.0181818182[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]290780.695652174[/C][C]-30219.6956521739[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]83261.9552238806[/C][C]1591.04477611941[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]290780.695652174[/C][C]3643.30434782611[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]122664.36[/C][C]-21653.36[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]189887.018181818[/C][C]25753.9818181818[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]290780.695652174[/C][C]34326.3043478261[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]22366.5[/C][C]-15190.5[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]189887.018181818[/C][C]-22345.0181818182[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]122664.36[/C][C]-16256.36[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]83261.9552238806[/C][C]13298.0447761194[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]246878.818181818[/C][C]18890.1818181818[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]246878.818181818[/C][C]22772.1818181818[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]151121[/C][C]-2009[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]122664.36[/C][C]53159.64[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]189887.018181818[/C][C]-37016.0181818182[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]122664.36[/C][C]-10999.36[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]189887.018181818[/C][C]-73479.0181818182[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]189887.018181818[/C][C]172413.981818182[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]122664.36[/C][C]-43864.36[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]189887.018181818[/C][C]-6720.01818181819[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]290780.695652174[/C][C]-12815.6956521739[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]189887.018181818[/C][C]-39258.0181818182[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]193786[/C][C]-24977[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]22366.5[/C][C]1821.5[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]290780.695652174[/C][C]38486.3043478261[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]83261.9552238806[/C][C]-18232.9552238806[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]122664.36[/C][C]-21567.36[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]189887.018181818[/C][C]29058.9818181818[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]290780.695652174[/C][C]-46728.6956521739[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]290780.695652174[/C][C]50789.3043478261[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]122664.36[/C][C]-19067.36[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]290780.695652174[/C][C]-57452.6956521739[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]290780.695652174[/C][C]-34318.6956521739[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]122664.36[/C][C]83496.64[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]290780.695652174[/C][C]20692.3043478261[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]290780.695652174[/C][C]-54980.6956521739[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]151121[/C][C]26818[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]189887.018181818[/C][C]17288.9818181818[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]193786[/C][C]2767[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]189887.018181818[/C][C]-15703.0181818182[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]122664.36[/C][C]20581.64[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]189887.018181818[/C][C]-2328.01818181819[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]189887.018181818[/C][C]-2206.01818181819[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]122664.36[/C][C]-3648.36[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]189887.018181818[/C][C]-7695.01818181819[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]83261.9552238806[/C][C]-9695.95522388059[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]189887.018181818[/C][C]5091.98181818181[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]189887.018181818[/C][C]-22399.0181818182[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]151121[/C][C]-7365[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]189887.018181818[/C][C]85653.9818181818[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]246878.818181818[/C][C]-3679.81818181818[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]193786[/C][C]-10787[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]122664.36[/C][C]12984.64[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]151121[/C][C]1178[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]122664.36[/C][C]-2443.36[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]246878.818181818[/C][C]99606.1818181818[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]122664.36[/C][C]23125.64[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]189887.018181818[/C][C]3451.98181818181[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]122664.36[/C][C]-41711.36[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]83261.9552238806[/C][C]39512.0447761194[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]122664.36[/C][C]7920.64[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]122664.36[/C][C]-10053.36[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]189887.018181818[/C][C]96580.9818181818[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]193786[/C][C]47280[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]151121[/C][C]-2675[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]189887.018181818[/C][C]14825.9818181818[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]189887.018181818[/C][C]-7808.01818181819[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]122664.36[/C][C]17679.64[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]189887.018181818[/C][C]30628.9818181818[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]193786[/C][C]49274[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]189887.018181818[/C][C]-27122.0181818182[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]246878.818181818[/C][C]-64265.8181818182[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]290780.695652174[/C][C]-58642.6956521739[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]246878.818181818[/C][C]18439.1818181818[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]83261.9552238806[/C][C]2312.04477611941[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]290780.695652174[/C][C]20058.3043478261[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]189887.018181818[/C][C]35172.9818181818[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]290780.695652174[/C][C]-58463.6956521739[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]151121[/C][C]-6155[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]47789.08[/C][C]-4502.08[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]122664.36[/C][C]33089.64[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]189887.018181818[/C][C]-25178.0181818182[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]189887.018181818[/C][C]12052.9818181818[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]246878.818181818[/C][C]-11424.8181818182[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]189887.018181818[/C][C]30913.9818181818[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]193786[/C][C]-94320[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]83261.9552238806[/C][C]9399.04477611941[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]122664.36[/C][C]10663.64[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]83261.9552238806[/C][C]-21900.9552238806[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]122664.36[/C][C]3265.64[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]122664.36[/C][C]-21914.36[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]193786[/C][C]30763[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]59491.75[/C][C]22824.25[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]83261.9552238806[/C][C]18748.0447761194[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]122664.36[/C][C]-21141.36[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]189887.018181818[/C][C]53623.9818181818[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]22366.5[/C][C]571.5[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]47789.08[/C][C]-6223.08[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]189887.018181818[/C][C]-37413.0181818182[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]83261.9552238806[/C][C]-21404.9552238806[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]83261.9552238806[/C][C]16661.0447761194[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]151121[/C][C]-18634[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]290780.695652174[/C][C]26613.3043478261[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]22366.5[/C][C]-1312.5[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]189887.018181818[/C][C]19753.9818181818[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]47789.08[/C][C]-25141.08[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]59491.75[/C][C]-28077.75[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]47789.08[/C][C]-1091.08[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]122664.36[/C][C]9033.64[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]47789.08[/C][C]43945.92[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]246878.818181818[/C][C]-2129.81818181818[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]151121[/C][C]33389[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]83261.9552238806[/C][C]-3398.95522388059[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]83261.9552238806[/C][C]45161.0447761194[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]122664.36[/C][C]-24825.36[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]47789.08[/C][C]-9575.08[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]151121[/C][C]-20[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]246878.818181818[/C][C]25579.1818181818[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]189887.018181818[/C][C]-17393.0181818182[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]122664.36[/C][C]-14621.36[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]290780.695652174[/C][C]37326.3043478261[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]290780.695652174[/C][C]-40201.6956521739[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]290780.695652174[/C][C]60286.3043478261[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]189887.018181818[/C][C]-31872.0181818182[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]83261.9552238806[/C][C]15604.0447761194[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]122664.36[/C][C]-37225.36[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]189887.018181818[/C][C]39354.9818181818[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]290780.695652174[/C][C]60838.3043478261[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]47789.08[/C][C]36417.92[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]122664.36[/C][C]-2219.36[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]246878.818181818[/C][C]77719.1818181818[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]122664.36[/C][C]8404.64[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]246878.818181818[/C][C]-42607.8181818182[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]189887.018181818[/C][C]-24344.0181818182[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]122664.36[/C][C]19057.64[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]122664.36[/C][C]-6616.36[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]189887.018181818[/C][C]60159.9818181818[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]189887.018181818[/C][C]109887.981818182[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]189887.018181818[/C][C]5950.98181818181[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]83261.9552238806[/C][C]89998.0447761194[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]246878.818181818[/C][C]7609.18181818182[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]151121[/C][C]-46732[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]122664.36[/C][C]13419.64[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]246878.818181818[/C][C]-47402.8181818182[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]83261.9552238806[/C][C]9237.04477611941[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]246878.818181818[/C][C]-22548.8181818182[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]122664.36[/C][C]13116.64[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]59491.75[/C][C]14916.25[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]83261.9552238806[/C][C]-2021.95522388059[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]22366.5[/C][C]-7678.5[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]189887.018181818[/C][C]-8254.01818181819[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]290780.695652174[/C][C]-18924.6956521739[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]22366.5[/C][C]-15167.5[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]47789.08[/C][C]-1129.08[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]22366.5[/C][C]-4819.5[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]122664.36[/C][C]10703.64[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]83261.9552238806[/C][C]11965.0447761194[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]122664.36[/C][C]29936.64[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]74967.7777777778[/C][C]23178.2222222222[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]83261.9552238806[/C][C]-3642.95522388059[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]47789.08[/C][C]11404.92[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]189887.018181818[/C][C]-49945.0181818182[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]83261.9552238806[/C][C]35350.0447761194[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]74967.7777777778[/C][C]-2087.77777777778[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]74967.7777777778[/C][C]-9492.77777777778[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]83261.9552238806[/C][C]16381.0447761194[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]83261.9552238806[/C][C]-11296.9552238806[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]83261.9552238806[/C][C]-5989.95522388059[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]47789.08[/C][C]1499.92[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]83261.9552238806[/C][C]51869.0447761194[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]122664.36[/C][C]-14218.36[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]83261.9552238806[/C][C]6484.04477611941[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]47789.08[/C][C]-3493.08[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]83261.9552238806[/C][C]-5613.95522388059[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]122664.36[/C][C]58863.64[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]122664.36[/C][C]11354.64[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]122664.36[/C][C]1399.64[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]122664.36[/C][C]-30034.36[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]83261.9552238806[/C][C]38586.0447761194[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]83261.9552238806[/C][C]-30346.9552238806[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]122664.36[/C][C]-40792.36[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]47789.08[/C][C]11191.92[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]47789.08[/C][C]5725.92[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]83261.9552238806[/C][C]-22449.9552238806[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]74967.7777777778[/C][C]-18592.7777777778[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]83261.9552238806[/C][C]-17771.9552238806[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]74967.7777777778[/C][C]5981.22222222222[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]83261.9552238806[/C][C]-6959.95522388059[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]189887.018181818[/C][C]-85876.0181818182[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]122664.36[/C][C]-24560.36[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]83261.9552238806[/C][C]-15272.9552238806[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]47789.08[/C][C]-16800.08[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]122664.36[/C][C]12793.64[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]59491.75[/C][C]14012.25[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]83261.9552238806[/C][C]-20138.9552238806[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]83261.9552238806[/C][C]-22007.9552238806[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]83261.9552238806[/C][C]-8347.95522388059[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]47789.08[/C][C]-16015.08[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]83261.9552238806[/C][C]-1824.95522388059[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]122664.36[/C][C]-35478.36[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]47789.08[/C][C]2300.92[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]83261.9552238806[/C][C]-17516.9552238806[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]83261.9552238806[/C][C]-26608.9552238806[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]83261.9552238806[/C][C]75137.0447761194[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]83261.9552238806[/C][C]-36806.9552238806[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]83261.9552238806[/C][C]-9637.95522388059[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]47789.08[/C][C]-9394.08[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]83261.9552238806[/C][C]8637.04477611941[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]122664.36[/C][C]16861.64[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]83261.9552238806[/C][C]-31097.9552238806[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]83261.9552238806[/C][C]-31694.9552238806[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]83261.9552238806[/C][C]-12710.9552238806[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]83261.9552238806[/C][C]1594.04477611941[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]122664.36[/C][C]-20126.36[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]74967.7777777778[/C][C]11710.2222222222[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]59491.75[/C][C]26217.25[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]59491.75[/C][C]-24829.75[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]122664.36[/C][C]27915.64[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]122664.36[/C][C]-23053.36[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]22366.5[/C][C]-3017.5[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]74967.7777777778[/C][C]24405.2222222222[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]83261.9552238806[/C][C]2968.04477611941[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]22366.5[/C][C]8470.5[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]59491.75[/C][C]-27785.75[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]83261.9552238806[/C][C]6544.04477611941[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]74967.7777777778[/C][C]-12879.7777777778[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]47789.08[/C][C]-7638.08[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]47789.08[/C][C]-20155.08[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]83261.9552238806[/C][C]-6271.95522388059[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]47789.08[/C][C]-10329.08[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]83261.9552238806[/C][C]-29104.9552238806[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]83261.9552238806[/C][C]-33399.9552238806[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]83261.9552238806[/C][C]1075.04477611941[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]83261.9552238806[/C][C]-19086.9552238806[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]83261.9552238806[/C][C]-23879.9552238806[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]122664.36[/C][C]-3356.36[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]83261.9552238806[/C][C]-6559.95522388059[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]83261.9552238806[/C][C]20163.0447761194[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]83261.9552238806[/C][C]-12917.9552238806[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]22366.5[/C][C]21043.5[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]83261.9552238806[/C][C]21576.0447761194[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]59491.75[/C][C]2723.25[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]83261.9552238806[/C][C]-13957.9552238806[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]47789.08[/C][C]5327.92[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]22366.5[/C][C]-2602.5[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]83261.9552238806[/C][C]3418.04477611941[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]83261.9552238806[/C][C]843.044776119408[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]83261.9552238806[/C][C]-5316.95522388059[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]83261.9552238806[/C][C]5851.04477611941[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]83261.9552238806[/C][C]7743.04477611941[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]22366.5[/C][C]17881.5[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]47789.08[/C][C]16397.92[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]47789.08[/C][C]3067.92[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]47789.08[/C][C]8823.92[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]83261.9552238806[/C][C]-20469.9552238806[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]83261.9552238806[/C][C]-10726.9552238806[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=152986&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=152986&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
1210907246878.818181818-35971.8181818182
2120982189887.018181818-68905.0181818182
3176508189887.018181818-13379.0181818182
4179321189887.018181818-10566.0181818182
5123185189887.018181818-66702.0181818182
65274674967.7777777778-22221.7777777778
7385534290780.69565217494753.3043478261
83317047789.08-14619.08
910164583261.955223880618383.0447761194
10149061189887.018181818-40826.0181818182
11165446189887.018181818-24441.0181818182
12237213246878.818181818-9665.81818181818
1317332615112122205
14133131122664.3610466.64
15258873189887.01818181868985.9818181818
16180083189887.018181818-9804.01818181819
17324799290780.69565217434018.3043478261
18230964246878.818181818-15914.8181818182
19236785189887.01818181846897.9818181818
20135473189887.018181818-54414.0181818182
21202925189887.01818181813037.9818181818
22215147246878.818181818-31731.8181818182
23344297246878.81818181897418.1818181818
24153935189887.018181818-35952.0181818182
25132943189887.018181818-56944.0181818182
26174724189887.018181818-15163.0181818182
27174415189887.018181818-15472.0181818182
28225548246878.818181818-21330.8181818182
29223632246878.818181818-23246.8181818182
30124817122664.362152.64
31221698290780.695652174-69082.6956521739
32210767246878.818181818-36111.8181818182
33170266189887.018181818-19621.0181818182
34260561290780.695652174-30219.6956521739
358485383261.95522388061591.04477611941
36294424290780.6956521743643.30434782611
37101011122664.36-21653.36
38215641189887.01818181825753.9818181818
39325107290780.69565217434326.3043478261
40717622366.5-15190.5
41167542189887.018181818-22345.0181818182
42106408122664.36-16256.36
439656083261.955223880613298.0447761194
44265769246878.81818181818890.1818181818
45269651246878.81818181822772.1818181818
46149112151121-2009
47175824122664.3653159.64
48152871189887.018181818-37016.0181818182
49111665122664.36-10999.36
50116408189887.018181818-73479.0181818182
51362301189887.018181818172413.981818182
5278800122664.36-43864.36
53183167189887.018181818-6720.01818181819
54277965290780.695652174-12815.6956521739
55150629189887.018181818-39258.0181818182
56168809193786-24977
572418822366.51821.5
58329267290780.69565217438486.3043478261
596502983261.9552238806-18232.9552238806
60101097122664.36-21567.36
61218946189887.01818181829058.9818181818
62244052290780.695652174-46728.6956521739
63341570290780.69565217450789.3043478261
64103597122664.36-19067.36
65233328290780.695652174-57452.6956521739
66256462290780.695652174-34318.6956521739
67206161122664.3683496.64
68311473290780.69565217420692.3043478261
69235800290780.695652174-54980.6956521739
7017793915112126818
71207176189887.01818181817288.9818181818
721965531937862767
73174184189887.018181818-15703.0181818182
74143246122664.3620581.64
75187559189887.018181818-2328.01818181819
76187681189887.018181818-2206.01818181819
77119016122664.36-3648.36
78182192189887.018181818-7695.01818181819
797356683261.9552238806-9695.95522388059
80194979189887.0181818185091.98181818181
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Parameters (Session):
par1 = 5 ; par2 = none ; par3 = 3 ; par4 = no ;
Parameters (R input):
par1 = 5 ; 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')
}