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 computationWed, 21 Dec 2011 05:30:44 -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/21/t1324463466tamxpwvibnvs45n.htm/, Retrieved Tue, 07 May 2024 21:32:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158450, Retrieved Tue, 07 May 2024 21:32:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96
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]
- RMP   [Kendall tau Correlation Matrix] [ws10.1] [2011-12-14 12:44:38] [8ae0a4da1b3ee81f40dbba5e42914d07]
-    D    [Kendall tau Correlation Matrix] [ws10.3] [2011-12-14 14:10:41] [8ae0a4da1b3ee81f40dbba5e42914d07]
- RMP       [Recursive Partitioning (Regression Trees)] [ws10.6] [2011-12-14 15:11:12] [8ae0a4da1b3ee81f40dbba5e42914d07]
-   PD        [Recursive Partitioning (Regression Trees)] [ws10.9] [2011-12-21 10:12:51] [8ae0a4da1b3ee81f40dbba5e42914d07]
-    D            [Recursive Partitioning (Regression Trees)] [ws10.11] [2011-12-21 10:30:44] [d6b8e0ceefc1e2de0b53f6dffb5d636c] [Current]
Feedback Forum

Post a new message
Dataseries X:
210907	79	81	94	56	3	1418
120982	58	55	103	56	4	869
176508	60	50	93	54	12	1530
179321	108	125	103	89	2	2172
123185	49	40	51	40	1	901
52746	0	37	70	25	3	463
385534	121	63	91	92	0	3201
33170	1	44	22	18	0	371
101645	20	88	38	63	0	1192
149061	43	66	93	44	5	1583
165446	69	57	60	33	0	1439
237213	78	74	123	84	0	1764
173326	86	49	148	88	7	1495
133131	44	52	90	55	7	1373
258873	104	88	124	60	3	2187
180083	63	36	70	66	9	1491
324799	158	108	168	154	0	4041
230964	102	43	115	53	4	1706
236785	77	75	71	119	3	2152
135473	82	32	66	41	0	1036
202925	115	44	134	61	7	1882
215147	101	85	117	58	0	1929
344297	80	86	108	75	1	2242
153935	50	56	84	33	5	1220
132943	83	50	156	40	7	1289
174724	123	135	120	92	0	2515
174415	73	63	114	100	0	2147
225548	81	81	94	112	5	2352
223632	105	52	120	73	0	1638
124817	47	44	81	40	0	1222
221698	105	113	110	45	0	1812
210767	94	39	133	60	3	1677
170266	44	73	122	62	4	1579
260561	114	48	158	75	1	1731
84853	38	33	109	31	4	807
294424	107	59	124	77	2	2452
101011	30	41	39	34	0	829
215641	71	69	92	46	0	1940
325107	84	64	126	99	0	2662
7176	0	1	0	17	0	186
167542	59	59	70	66	2	1499
106408	33	32	37	30	1	865
96560	42	129	38	76	0	1793
265769	96	37	120	146	2	2527
269651	106	31	93	67	10	2747
149112	56	65	95	56	6	1324
175824	57	107	77	107	0	2702
152871	59	74	90	58	5	1383
111665	39	54	80	34	4	1179
116408	34	76	31	61	1	2099
362301	76	715	110	119	2	4308
78800	20	57	66	42	2	918
183167	91	66	138	66	0	1831
277965	115	106	133	89	8	3373
150629	85	54	113	44	3	1713
168809	76	32	100	66	0	1438
24188	8	20	7	24	0	496
329267	79	71	140	259	8	2253
65029	21	21	61	17	5	744
101097	30	70	41	64	3	1161
218946	76	112	96	41	1	2352
244052	101	66	164	68	5	2144
341570	94	190	78	168	1	4691
103597	27	66	49	43	1	1112
233328	92	165	102	132	5	2694
256462	123	56	124	105	0	1973
206161	75	61	99	71	12	1769
311473	128	53	129	112	8	3148
235800	105	127	62	94	8	2474
177939	55	63	73	82	8	2084
207176	56	38	114	70	8	1954
196553	41	50	99	57	2	1226
174184	72	52	70	53	0	1389
143246	67	42	104	103	5	1496
187559	75	76	116	121	8	2269
187681	114	67	91	62	2	1833
119016	118	50	74	52	5	1268
182192	77	53	138	52	12	1943
73566	22	39	67	32	6	893
194979	66	50	151	62	7	1762
167488	69	77	72	45	2	1403
143756	105	57	120	46	0	1425
275541	116	73	115	63	4	1857
243199	88	34	105	75	3	1840
182999	73	39	104	88	6	1502
135649	99	46	108	46	2	1441
152299	62	63	98	53	0	1420
120221	53	35	69	37	1	1416
346485	118	106	111	90	0	2970
145790	30	43	99	63	5	1317
193339	100	47	71	78	2	1644
80953	49	31	27	25	0	870
122774	24	162	69	45	0	1654
130585	67	57	107	46	5	1054
112611	46	36	73	41	0	937
286468	57	263	107	144	1	3004
241066	75	78	93	82	0	2008
148446	135	63	129	91	1	2547
204713	68	54	69	71	1	1885
182079	124	63	118	63	2	1626
140344	33	77	73	53	6	1468
220516	98	79	119	62	1	2445
243060	58	110	104	63	4	1964
162765	68	56	107	32	2	1381
182613	81	56	99	39	3	1369
232138	131	43	90	62	0	1659
265318	110	111	197	117	10	2888
85574	37	71	36	34	0	1290
310839	130	62	85	92	9	2845
225060	93	56	139	93	7	1982
232317	118	74	106	54	0	1904
144966	39	60	50	144	0	1391
43287	13	43	64	14	4	602
155754	74	68	31	61	4	1743
164709	81	53	63	109	0	1559
201940	109	87	92	38	0	2014
235454	151	46	106	73	0	2143
220801	51	105	63	75	1	2146
99466	28	32	69	50	0	874
92661	40	133	41	61	1	1590
133328	56	79	56	55	0	1590
61361	27	51	25	77	0	1210
125930	37	207	65	75	4	2072
100750	83	67	93	72	0	1281
224549	54	47	114	50	4	1401
82316	27	34	38	32	4	834
102010	28	66	44	53	3	1105
101523	59	76	87	42	0	1272
243511	133	65	110	71	0	1944
22938	12	9	0	10	0	391
41566	0	42	27	35	5	761
152474	106	45	83	65	0	1605
61857	23	25	30	25	4	530
99923	44	115	80	66	0	1988
132487	71	97	98	41	0	1386
317394	116	53	82	86	1	2395
21054	4	2	0	16	0	387
209641	62	52	60	42	5	1742
22648	12	44	28	19	0	620
31414	18	22	9	19	0	449
46698	14	35	33	45	0	800
131698	60	74	59	65	0	1684
91735	7	103	49	35	0	1050
244749	98	144	115	95	2	2699
184510	64	60	140	49	7	1606
79863	29	134	49	37	1	1502
128423	32	89	120	64	8	1204
97839	25	42	66	38	2	1138
38214	16	52	21	34	0	568
151101	48	98	124	32	2	1459
272458	100	99	152	65	0	2158
172494	46	52	139	52	0	1111
108043	45	29	38	62	1	1421
328107	129	125	144	65	3	2833
250579	130	106	120	83	0	1955
351067	136	95	160	95	3	2922
158015	59	40	114	29	0	1002
98866	25	140	39	18	0	1060
85439	32	43	78	33	0	956
229242	63	128	119	247	4	2186
351619	95	142	141	139	4	3604
84207	14	73	101	29	11	1035
120445	36	72	56	118	0	1417
324598	113	128	133	110	0	3261
131069	47	61	83	67	4	1587
204271	92	73	116	42	0	1424
165543	70	148	90	65	1	1701
141722	19	64	36	94	0	1249
116048	50	45	50	64	0	946
250047	41	58	61	81	0	1926
299775	91	97	97	95	9	3352
195838	111	50	98	67	1	1641
173260	41	37	78	63	3	2035
254488	120	50	117	83	10	2312
104389	135	105	148	45	5	1369
136084	27	69	41	30	0	1577
199476	87	46	105	70	2	2201
92499	25	57	55	32	0	961
224330	131	52	132	83	1	1900
135781	45	98	44	31	2	1254
74408	29	61	21	67	4	1335
81240	58	89	50	66	0	1597
14688	4	0	0	10	0	207
181633	47	48	73	70	2	1645
271856	109	91	86	103	1	2429
7199	7	0	0	5	0	151
46660	12	7	13	20	0	474
17547	0	3	4	5	0	141
133368	37	54	57	36	1	1639
95227	37	70	48	34	0	872
152601	46	36	46	48	2	1318
98146	15	37	48	40	0	1018
79619	42	123	32	43	3	1383
59194	7	247	68	31	6	1314
139942	54	46	87	42	0	1335
118612	54	72	43	46	2	1403
72880	14	41	67	33	0	910
65475	16	24	46	18	2	616
99643	33	45	46	55	1	1407
71965	32	33	56	35	1	771
77272	21	27	48	59	2	766
49289	15	36	44	19	1	473
135131	38	87	60	66	0	1376
108446	22	90	65	60	1	1232
89746	28	114	55	36	3	1521
44296	10	31	38	25	0	572
77648	31	45	52	47	0	1059
181528	32	69	60	54	0	1544
134019	32	51	54	53	0	1230
124064	43	34	86	40	1	1206
92630	27	60	24	40	4	1205
121848	37	45	52	39	0	1255
52915	20	54	49	14	0	613
81872	32	25	61	45	0	721
58981	0	38	61	36	7	1109
53515	5	52	81	28	2	740
60812	26	67	43	44	0	1126
56375	10	74	40	30	7	728
65490	27	38	40	22	3	689
80949	11	30	56	17	0	592
76302	29	26	68	31	0	995
104011	25	67	79	55	6	1613
98104	55	132	47	54	2	2048
67989	23	42	57	21	0	705
30989	5	35	41	14	0	301
135458	43	118	29	81	3	1803
73504	23	68	3	35	0	799
63123	34	43	60	43	1	861
61254	36	76	30	46	1	1186
74914	35	64	79	30	0	1451
31774	0	48	47	23	1	628
81437	37	64	40	38	0	1161
87186	28	56	48	54	0	1463
50090	16	71	36	20	0	742
65745	26	75	42	53	0	979
56653	38	39	49	45	0	675
158399	23	42	57	39	0	1241
46455	22	39	12	20	0	676
73624	30	93	40	24	0	1049
38395	16	38	43	31	0	620
91899	18	60	33	35	0	1081
139526	28	71	77	151	0	1688
52164	32	52	43	52	0	736
51567	21	27	45	30	2	617
70551	23	59	47	31	0	812
84856	29	40	43	29	1	1051
102538	50	79	45	57	1	1656
86678	12	44	50	40	0	705
85709	21	65	35	44	0	945
34662	18	10	7	25	0	554
150580	27	124	71	77	0	1597
99611	41	81	67	35	0	982
19349	13	15	0	11	0	222
99373	12	92	62	63	1	1212
86230	21	42	54	44	0	1143
30837	8	10	4	19	0	435
31706	26	24	25	13	0	532
89806	27	64	40	42	0	882
62088	13	45	38	38	1	608
40151	16	22	19	29	0	459
27634	2	56	17	20	0	578
76990	42	94	67	27	0	826
37460	5	19	14	20	0	509
54157	37	35	30	19	0	717
49862	17	32	54	37	0	637
84337	38	35	35	26	0	857
64175	37	48	59	42	0	830
59382	29	49	24	49	0	652
119308	32	48	58	30	0	707
76702	35	62	42	49	0	954
103425	17	96	46	67	1	1461
70344	20	45	61	28	0	672
43410	7	63	3	19	0	778
104838	46	71	52	49	1	1141
62215	24	26	25	27	0	680
69304	40	48	40	30	6	1090
53117	3	29	32	22	3	616
19764	10	19	4	12	1	285
86680	37	45	49	31	2	1145
84105	17	45	63	20	0	733
77945	28	67	67	20	0	888
89113	19	30	32	39	0	849
91005	29	36	23	29	3	1182
40248	8	34	7	16	1	528
64187	10	36	54	27	0	642
50857	15	34	37	21	0	947
56613	15	37	35	19	1	819
62792	28	46	51	35	0	757
72535	17	44	39	14	0	894




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 7 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.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=158450&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]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.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=158450&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158450&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 time7 seconds
R Server'Herman Ole Andreas Wold' @ wold.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
Correlation0.9311
R-squared0.867
RMSE29980.3976

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.9311 \tabularnewline
R-squared & 0.867 \tabularnewline
RMSE & 29980.3976 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158450&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.9311[/C][/ROW]
[ROW][C]R-squared[/C][C]0.867[/C][/ROW]
[ROW][C]RMSE[/C][C]29980.3976[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158450&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158450&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
Correlation0.9311
R-squared0.867
RMSE29980.3976







Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
1210907154722.11904761956184.8809523809
2120982123920.888888889-2938.88888888889
3176508154722.11904761921785.8809523809
4179321228961.909090909-49640.9090909091
5123185106213.62516971.375
65274639424.133333333313321.8666666667
7385534321098.062564435.9375
83317019387.413782.6
910164582620.297872340419024.7021276596
10149061154722.119047619-5661.11904761905
11165446154722.11904761910723.8809523809
12237213228961.9090909098251.09090909091
13173326154722.11904761918603.8809523809
14133131154722.119047619-21591.1190476191
15258873228961.90909090929911.0909090909
16180083154722.11904761925360.8809523809
17324799321098.06253700.9375
18230964228961.9090909092002.09090909091
19236785161644.4782608775140.5217391304
20135473106213.62529259.375
21202925228961.909090909-26036.9090909091
22215147228961.909090909-13814.9090909091
23344297228961.909090909115335.090909091
24153935154722.119047619-787.119047619053
25132943154722.119047619-21779.1190476191
26174724228961.909090909-54237.9090909091
27174415228961.909090909-54546.9090909091
28225548228961.909090909-3413.90909090909
29223632228961.909090909-5329.90909090909
30124817154722.119047619-29905.1190476191
31221698228961.909090909-7263.90909090909
32210767228961.909090909-18194.9090909091
33170266154722.11904761915543.8809523809
34260561228961.90909090931599.0909090909
3584853123920.888888889-39067.8888888889
36294424228961.90909090965462.0909090909
3710101182620.297872340418390.7021276596
38215641228961.909090909-13320.9090909091
39325107228961.90909090996145.0909090909
40717619387.4-12211.4
41167542154722.11904761912819.8809523809
4210640882620.297872340423787.7021276596
4396560161644.47826087-65084.4782608696
44265769228961.90909090936807.0909090909
45269651321098.0625-51447.0625
46149112154722.119047619-5610.11904761905
47175824161644.4782608714179.5217391304
48152871154722.119047619-1851.11904761905
49111665123920.888888889-12255.8888888889
50116408161644.47826087-45236.4782608696
51362301321098.062541202.9375
527880082620.2978723404-3820.29787234042
53183167228961.909090909-45794.9090909091
54277965321098.0625-43133.0625
55150629228961.909090909-78332.9090909091
56168809154722.11904761914086.8809523809
572418839424.1333333333-15236.1333333333
58329267228961.909090909100305.090909091
5965029601474882
6010109782620.297872340418476.7021276596
61218946228961.909090909-10015.9090909091
62244052228961.90909090915090.0909090909
63341570321098.062520471.9375
6410359782620.297872340420976.7021276596
65233328228961.9090909094366.09090909091
66256462228961.90909090927500.0909090909
67206161228961.909090909-22800.9090909091
68311473321098.0625-9625.0625
69235800161644.4782608774155.5217391304
70177939161644.4782608716294.5217391304
71207176228961.909090909-21785.9090909091
72196553154722.11904761941830.8809523809
73174184154722.11904761919461.8809523809
74143246154722.119047619-11476.1190476191
75187559228961.909090909-41402.9090909091
76187681228961.909090909-41280.9090909091
77119016154722.119047619-35706.1190476191
78182192228961.909090909-46769.9090909091
797356682620.2978723404-9054.29787234042
80194979228961.909090909-33982.9090909091
81167488154722.11904761912765.8809523809
82143756154722.119047619-10966.1190476191
83275541228961.90909090946579.0909090909
84243199228961.90909090914237.0909090909
85182999154722.11904761928276.8809523809
86135649154722.119047619-19073.1190476191
87152299154722.119047619-2423.11904761905
88120221154722.119047619-34501.1190476191
89346485321098.062525386.9375
90145790154722.119047619-8932.11904761905
91193339161644.4782608731694.5217391304
9280953106213.625-25260.625
93122774161644.47826087-38870.4782608696
94130585123920.8888888896664.11111111111
95112611106213.6256397.375
96286468321098.0625-34630.0625
97241066228961.90909090912104.0909090909
98148446228961.909090909-80515.9090909091
99204713161644.4782608743068.5217391304
100182079228961.909090909-46882.9090909091
101140344154722.119047619-14378.1190476191
102220516228961.909090909-8445.90909090909
103243060228961.90909090914098.0909090909
104162765154722.1190476198042.88095238095
105182613154722.11904761927890.8809523809
106232138228961.9090909093176.09090909091
107265318321098.0625-55780.0625
10885574110514.952380952-24940.9523809524
109310839321098.0625-10259.0625
110225060228961.909090909-3901.90909090909
111232317228961.9090909093355.09090909091
112144966110514.95238095234451.0476190476
1134328760147-16860
114155754161644.47826087-5890.47826086957
115164709154722.1190476199986.88095238095
116201940228961.909090909-27021.9090909091
117235454228961.9090909096492.09090909091
118220801161644.4782608759156.5217391304
1199946682620.297872340416845.7021276596
12092661110514.952380952-17853.9523809524
121133328110514.95238095222813.0476190476
1226136182620.2978723404-21259.2978723404
123125930161644.47826087-35714.4782608696
124100750154722.119047619-53972.1190476191
125224549154722.11904761969826.8809523809
1268231682620.2978723404-304.297872340423
12710201082620.297872340419389.7021276596
128101523154722.119047619-53199.1190476191
129243511228961.90909090914549.0909090909
1302293819387.43550.6
1314156660147-18581
132152474154722.119047619-2248.11904761905
1336185739424.133333333322432.8666666667
13499923161644.47826087-61721.4782608696
135132487120189.71428571412297.2857142857
136317394228961.90909090988432.0909090909
1372105419387.41666.6
138209641161644.4782608747996.5217391304
1392264860147-37499
1403141439424.1333333333-8010.13333333333
1414669860147-13449
142131698161644.47826087-29946.4782608696
1439173582620.29787234049114.70212765958
144244749228961.90909090915787.0909090909
145184510154722.11904761929787.8809523809
14679863110514.952380952-30651.9523809524
147128423123920.8888888894502.11111111111
1489783982620.297872340415218.7021276596
1493821439424.1333333333-1210.13333333333
150151101120189.71428571430911.2857142857
151272458228961.90909090943496.0909090909
152172494123920.88888888948573.1111111111
153108043110514.952380952-2471.95238095238
154328107321098.06257008.9375
155250579228961.90909090921617.0909090909
156351067321098.062529968.9375
157158015123920.88888888934094.1111111111
1589886682620.297872340416245.7021276596
1598543982620.29787234042818.70212765958
160229242228961.909090909280.090909090912
161351619321098.062530520.9375
16284207123920.888888889-39713.8888888889
163120445110514.9523809529930.04761904762
164324598321098.06253499.9375
165131069154722.119047619-23653.1190476191
166204271154722.11904761949548.8809523809
167165543228961.909090909-63418.9090909091
168141722110514.95238095231207.0476190476
169116048106213.6259834.375
170250047161644.4782608788402.5217391304
171299775321098.0625-21323.0625
172195838228961.909090909-33123.9090909091
173173260161644.4782608711615.5217391304
174254488228961.90909090925526.0909090909
175104389120189.714285714-15800.7142857143
176136084110514.95238095225569.0476190476
177199476228961.909090909-29485.9090909091
1789249982620.29787234049878.70212765958
179224330228961.909090909-4631.90909090909
180135781110514.95238095225266.0476190476
18174408110514.952380952-36106.9523809524
18281240110514.952380952-29274.9523809524
1831468819387.4-4699.4
184181633161644.4782608719988.5217391304
185271856228961.90909090942894.0909090909
186719919387.4-12188.4
1874666039424.13333333337235.86666666667
1881754719387.4-1840.4
189133368161644.47826087-28276.4782608696
1909522782620.297872340412606.7021276596
191152601110514.95238095242086.0476190476
1929814682620.297872340415525.7021276596
19379619110514.952380952-30895.9523809524
19459194120189.714285714-60995.7142857143
195139942154722.119047619-14780.1190476191
196118612110514.9523809528097.04761904762
1977288082620.2978723404-9740.29787234042
19865475601475328
19999643110514.952380952-10871.9523809524
200719656014711818
201772726014717125
2024928939424.13333333339864.86666666667
203135131120189.71428571414941.2857142857
204108446120189.714285714-11743.7142857143
20589746110514.952380952-20768.9523809524
2064429639424.13333333334871.86666666667
2077764882620.2978723404-4972.29787234042
208181528154722.11904761926805.8809523809
209134019110514.95238095223504.0476190476
210124064123920.888888889143.111111111109
2119263082620.297872340410009.7021276596
212121848110514.95238095211333.0476190476
2135291560147-7232
214818726014721725
2155898182620.2978723404-23639.2978723404
2165351560147-6632
2176081282620.2978723404-21808.2978723404
2185637560147-3772
21965490601475343
220809496014720802
2217630282620.2978723404-6318.29787234042
222104011154722.119047619-50711.1190476191
22398104161644.47826087-63540.4782608696
22467989601477842
2253098919387.411601.6
226135458161644.47826087-26186.4782608696
227735046014713357
2286312382620.2978723404-19497.2978723404
2296125482620.2978723404-21366.2978723404
23074914154722.119047619-79808.1190476191
2313177460147-28373
2328143782620.2978723404-1183.29787234042
23387186110514.952380952-23328.9523809524
2345009060147-10057
2356574582620.2978723404-16875.2978723404
2365665360147-3494
237158399154722.1190476193676.88095238095
2384645560147-13692
2397362482620.2978723404-8996.29787234042
2403839560147-21752
2419189982620.29787234049278.70212765958
242139526161644.47826087-22118.4782608696
2435216460147-7983
2445156760147-8580
2457055182620.2978723404-12069.2978723404
2468485682620.29787234042235.70212765958
247102538161644.47826087-59106.4782608696
248866786014726531
2498570982620.29787234043088.70212765958
2503466239424.1333333333-4762.13333333333
251150580120189.71428571430390.2857142857
25299611106213.625-6602.625
2531934919387.4-38.4000000000015
2549937382620.297872340416752.7021276596
2558623082620.29787234043609.70212765958
2563083739424.1333333333-8587.13333333333
2573170639424.1333333333-7718.13333333333
2588980682620.29787234047185.70212765958
25962088601471941
2604015139424.1333333333726.866666666669
2612763439424.1333333333-11790.1333333333
26276990106213.625-29223.625
2633746039424.1333333333-1964.13333333333
2645415760147-5990
2654986260147-10285
2668433782620.29787234041716.70212765958
2676417582620.2978723404-18445.2978723404
2685938260147-765
2691193086014759161
2707670282620.2978723404-5918.29787234042
271103425110514.952380952-7089.95238095238
272703446014710197
2734341060147-16737
274104838106213.625-1375.625
27562215601472068
2766930482620.2978723404-13316.2978723404
2775311760147-7030
2781976419387.4376.599999999999
2798668082620.29787234044059.70212765958
280841056014723958
2817794582620.2978723404-4675.29787234042
2828911382620.29787234046492.70212765958
2839100582620.29787234048384.70212765958
2844024839424.1333333333823.866666666669
28564187601474040
2865085782620.2978723404-31763.2978723404
2875661382620.2978723404-26007.2978723404
28862792601472645
2897253582620.2978723404-10085.2978723404

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 210907 & 154722.119047619 & 56184.8809523809 \tabularnewline
2 & 120982 & 123920.888888889 & -2938.88888888889 \tabularnewline
3 & 176508 & 154722.119047619 & 21785.8809523809 \tabularnewline
4 & 179321 & 228961.909090909 & -49640.9090909091 \tabularnewline
5 & 123185 & 106213.625 & 16971.375 \tabularnewline
6 & 52746 & 39424.1333333333 & 13321.8666666667 \tabularnewline
7 & 385534 & 321098.0625 & 64435.9375 \tabularnewline
8 & 33170 & 19387.4 & 13782.6 \tabularnewline
9 & 101645 & 82620.2978723404 & 19024.7021276596 \tabularnewline
10 & 149061 & 154722.119047619 & -5661.11904761905 \tabularnewline
11 & 165446 & 154722.119047619 & 10723.8809523809 \tabularnewline
12 & 237213 & 228961.909090909 & 8251.09090909091 \tabularnewline
13 & 173326 & 154722.119047619 & 18603.8809523809 \tabularnewline
14 & 133131 & 154722.119047619 & -21591.1190476191 \tabularnewline
15 & 258873 & 228961.909090909 & 29911.0909090909 \tabularnewline
16 & 180083 & 154722.119047619 & 25360.8809523809 \tabularnewline
17 & 324799 & 321098.0625 & 3700.9375 \tabularnewline
18 & 230964 & 228961.909090909 & 2002.09090909091 \tabularnewline
19 & 236785 & 161644.47826087 & 75140.5217391304 \tabularnewline
20 & 135473 & 106213.625 & 29259.375 \tabularnewline
21 & 202925 & 228961.909090909 & -26036.9090909091 \tabularnewline
22 & 215147 & 228961.909090909 & -13814.9090909091 \tabularnewline
23 & 344297 & 228961.909090909 & 115335.090909091 \tabularnewline
24 & 153935 & 154722.119047619 & -787.119047619053 \tabularnewline
25 & 132943 & 154722.119047619 & -21779.1190476191 \tabularnewline
26 & 174724 & 228961.909090909 & -54237.9090909091 \tabularnewline
27 & 174415 & 228961.909090909 & -54546.9090909091 \tabularnewline
28 & 225548 & 228961.909090909 & -3413.90909090909 \tabularnewline
29 & 223632 & 228961.909090909 & -5329.90909090909 \tabularnewline
30 & 124817 & 154722.119047619 & -29905.1190476191 \tabularnewline
31 & 221698 & 228961.909090909 & -7263.90909090909 \tabularnewline
32 & 210767 & 228961.909090909 & -18194.9090909091 \tabularnewline
33 & 170266 & 154722.119047619 & 15543.8809523809 \tabularnewline
34 & 260561 & 228961.909090909 & 31599.0909090909 \tabularnewline
35 & 84853 & 123920.888888889 & -39067.8888888889 \tabularnewline
36 & 294424 & 228961.909090909 & 65462.0909090909 \tabularnewline
37 & 101011 & 82620.2978723404 & 18390.7021276596 \tabularnewline
38 & 215641 & 228961.909090909 & -13320.9090909091 \tabularnewline
39 & 325107 & 228961.909090909 & 96145.0909090909 \tabularnewline
40 & 7176 & 19387.4 & -12211.4 \tabularnewline
41 & 167542 & 154722.119047619 & 12819.8809523809 \tabularnewline
42 & 106408 & 82620.2978723404 & 23787.7021276596 \tabularnewline
43 & 96560 & 161644.47826087 & -65084.4782608696 \tabularnewline
44 & 265769 & 228961.909090909 & 36807.0909090909 \tabularnewline
45 & 269651 & 321098.0625 & -51447.0625 \tabularnewline
46 & 149112 & 154722.119047619 & -5610.11904761905 \tabularnewline
47 & 175824 & 161644.47826087 & 14179.5217391304 \tabularnewline
48 & 152871 & 154722.119047619 & -1851.11904761905 \tabularnewline
49 & 111665 & 123920.888888889 & -12255.8888888889 \tabularnewline
50 & 116408 & 161644.47826087 & -45236.4782608696 \tabularnewline
51 & 362301 & 321098.0625 & 41202.9375 \tabularnewline
52 & 78800 & 82620.2978723404 & -3820.29787234042 \tabularnewline
53 & 183167 & 228961.909090909 & -45794.9090909091 \tabularnewline
54 & 277965 & 321098.0625 & -43133.0625 \tabularnewline
55 & 150629 & 228961.909090909 & -78332.9090909091 \tabularnewline
56 & 168809 & 154722.119047619 & 14086.8809523809 \tabularnewline
57 & 24188 & 39424.1333333333 & -15236.1333333333 \tabularnewline
58 & 329267 & 228961.909090909 & 100305.090909091 \tabularnewline
59 & 65029 & 60147 & 4882 \tabularnewline
60 & 101097 & 82620.2978723404 & 18476.7021276596 \tabularnewline
61 & 218946 & 228961.909090909 & -10015.9090909091 \tabularnewline
62 & 244052 & 228961.909090909 & 15090.0909090909 \tabularnewline
63 & 341570 & 321098.0625 & 20471.9375 \tabularnewline
64 & 103597 & 82620.2978723404 & 20976.7021276596 \tabularnewline
65 & 233328 & 228961.909090909 & 4366.09090909091 \tabularnewline
66 & 256462 & 228961.909090909 & 27500.0909090909 \tabularnewline
67 & 206161 & 228961.909090909 & -22800.9090909091 \tabularnewline
68 & 311473 & 321098.0625 & -9625.0625 \tabularnewline
69 & 235800 & 161644.47826087 & 74155.5217391304 \tabularnewline
70 & 177939 & 161644.47826087 & 16294.5217391304 \tabularnewline
71 & 207176 & 228961.909090909 & -21785.9090909091 \tabularnewline
72 & 196553 & 154722.119047619 & 41830.8809523809 \tabularnewline
73 & 174184 & 154722.119047619 & 19461.8809523809 \tabularnewline
74 & 143246 & 154722.119047619 & -11476.1190476191 \tabularnewline
75 & 187559 & 228961.909090909 & -41402.9090909091 \tabularnewline
76 & 187681 & 228961.909090909 & -41280.9090909091 \tabularnewline
77 & 119016 & 154722.119047619 & -35706.1190476191 \tabularnewline
78 & 182192 & 228961.909090909 & -46769.9090909091 \tabularnewline
79 & 73566 & 82620.2978723404 & -9054.29787234042 \tabularnewline
80 & 194979 & 228961.909090909 & -33982.9090909091 \tabularnewline
81 & 167488 & 154722.119047619 & 12765.8809523809 \tabularnewline
82 & 143756 & 154722.119047619 & -10966.1190476191 \tabularnewline
83 & 275541 & 228961.909090909 & 46579.0909090909 \tabularnewline
84 & 243199 & 228961.909090909 & 14237.0909090909 \tabularnewline
85 & 182999 & 154722.119047619 & 28276.8809523809 \tabularnewline
86 & 135649 & 154722.119047619 & -19073.1190476191 \tabularnewline
87 & 152299 & 154722.119047619 & -2423.11904761905 \tabularnewline
88 & 120221 & 154722.119047619 & -34501.1190476191 \tabularnewline
89 & 346485 & 321098.0625 & 25386.9375 \tabularnewline
90 & 145790 & 154722.119047619 & -8932.11904761905 \tabularnewline
91 & 193339 & 161644.47826087 & 31694.5217391304 \tabularnewline
92 & 80953 & 106213.625 & -25260.625 \tabularnewline
93 & 122774 & 161644.47826087 & -38870.4782608696 \tabularnewline
94 & 130585 & 123920.888888889 & 6664.11111111111 \tabularnewline
95 & 112611 & 106213.625 & 6397.375 \tabularnewline
96 & 286468 & 321098.0625 & -34630.0625 \tabularnewline
97 & 241066 & 228961.909090909 & 12104.0909090909 \tabularnewline
98 & 148446 & 228961.909090909 & -80515.9090909091 \tabularnewline
99 & 204713 & 161644.47826087 & 43068.5217391304 \tabularnewline
100 & 182079 & 228961.909090909 & -46882.9090909091 \tabularnewline
101 & 140344 & 154722.119047619 & -14378.1190476191 \tabularnewline
102 & 220516 & 228961.909090909 & -8445.90909090909 \tabularnewline
103 & 243060 & 228961.909090909 & 14098.0909090909 \tabularnewline
104 & 162765 & 154722.119047619 & 8042.88095238095 \tabularnewline
105 & 182613 & 154722.119047619 & 27890.8809523809 \tabularnewline
106 & 232138 & 228961.909090909 & 3176.09090909091 \tabularnewline
107 & 265318 & 321098.0625 & -55780.0625 \tabularnewline
108 & 85574 & 110514.952380952 & -24940.9523809524 \tabularnewline
109 & 310839 & 321098.0625 & -10259.0625 \tabularnewline
110 & 225060 & 228961.909090909 & -3901.90909090909 \tabularnewline
111 & 232317 & 228961.909090909 & 3355.09090909091 \tabularnewline
112 & 144966 & 110514.952380952 & 34451.0476190476 \tabularnewline
113 & 43287 & 60147 & -16860 \tabularnewline
114 & 155754 & 161644.47826087 & -5890.47826086957 \tabularnewline
115 & 164709 & 154722.119047619 & 9986.88095238095 \tabularnewline
116 & 201940 & 228961.909090909 & -27021.9090909091 \tabularnewline
117 & 235454 & 228961.909090909 & 6492.09090909091 \tabularnewline
118 & 220801 & 161644.47826087 & 59156.5217391304 \tabularnewline
119 & 99466 & 82620.2978723404 & 16845.7021276596 \tabularnewline
120 & 92661 & 110514.952380952 & -17853.9523809524 \tabularnewline
121 & 133328 & 110514.952380952 & 22813.0476190476 \tabularnewline
122 & 61361 & 82620.2978723404 & -21259.2978723404 \tabularnewline
123 & 125930 & 161644.47826087 & -35714.4782608696 \tabularnewline
124 & 100750 & 154722.119047619 & -53972.1190476191 \tabularnewline
125 & 224549 & 154722.119047619 & 69826.8809523809 \tabularnewline
126 & 82316 & 82620.2978723404 & -304.297872340423 \tabularnewline
127 & 102010 & 82620.2978723404 & 19389.7021276596 \tabularnewline
128 & 101523 & 154722.119047619 & -53199.1190476191 \tabularnewline
129 & 243511 & 228961.909090909 & 14549.0909090909 \tabularnewline
130 & 22938 & 19387.4 & 3550.6 \tabularnewline
131 & 41566 & 60147 & -18581 \tabularnewline
132 & 152474 & 154722.119047619 & -2248.11904761905 \tabularnewline
133 & 61857 & 39424.1333333333 & 22432.8666666667 \tabularnewline
134 & 99923 & 161644.47826087 & -61721.4782608696 \tabularnewline
135 & 132487 & 120189.714285714 & 12297.2857142857 \tabularnewline
136 & 317394 & 228961.909090909 & 88432.0909090909 \tabularnewline
137 & 21054 & 19387.4 & 1666.6 \tabularnewline
138 & 209641 & 161644.47826087 & 47996.5217391304 \tabularnewline
139 & 22648 & 60147 & -37499 \tabularnewline
140 & 31414 & 39424.1333333333 & -8010.13333333333 \tabularnewline
141 & 46698 & 60147 & -13449 \tabularnewline
142 & 131698 & 161644.47826087 & -29946.4782608696 \tabularnewline
143 & 91735 & 82620.2978723404 & 9114.70212765958 \tabularnewline
144 & 244749 & 228961.909090909 & 15787.0909090909 \tabularnewline
145 & 184510 & 154722.119047619 & 29787.8809523809 \tabularnewline
146 & 79863 & 110514.952380952 & -30651.9523809524 \tabularnewline
147 & 128423 & 123920.888888889 & 4502.11111111111 \tabularnewline
148 & 97839 & 82620.2978723404 & 15218.7021276596 \tabularnewline
149 & 38214 & 39424.1333333333 & -1210.13333333333 \tabularnewline
150 & 151101 & 120189.714285714 & 30911.2857142857 \tabularnewline
151 & 272458 & 228961.909090909 & 43496.0909090909 \tabularnewline
152 & 172494 & 123920.888888889 & 48573.1111111111 \tabularnewline
153 & 108043 & 110514.952380952 & -2471.95238095238 \tabularnewline
154 & 328107 & 321098.0625 & 7008.9375 \tabularnewline
155 & 250579 & 228961.909090909 & 21617.0909090909 \tabularnewline
156 & 351067 & 321098.0625 & 29968.9375 \tabularnewline
157 & 158015 & 123920.888888889 & 34094.1111111111 \tabularnewline
158 & 98866 & 82620.2978723404 & 16245.7021276596 \tabularnewline
159 & 85439 & 82620.2978723404 & 2818.70212765958 \tabularnewline
160 & 229242 & 228961.909090909 & 280.090909090912 \tabularnewline
161 & 351619 & 321098.0625 & 30520.9375 \tabularnewline
162 & 84207 & 123920.888888889 & -39713.8888888889 \tabularnewline
163 & 120445 & 110514.952380952 & 9930.04761904762 \tabularnewline
164 & 324598 & 321098.0625 & 3499.9375 \tabularnewline
165 & 131069 & 154722.119047619 & -23653.1190476191 \tabularnewline
166 & 204271 & 154722.119047619 & 49548.8809523809 \tabularnewline
167 & 165543 & 228961.909090909 & -63418.9090909091 \tabularnewline
168 & 141722 & 110514.952380952 & 31207.0476190476 \tabularnewline
169 & 116048 & 106213.625 & 9834.375 \tabularnewline
170 & 250047 & 161644.47826087 & 88402.5217391304 \tabularnewline
171 & 299775 & 321098.0625 & -21323.0625 \tabularnewline
172 & 195838 & 228961.909090909 & -33123.9090909091 \tabularnewline
173 & 173260 & 161644.47826087 & 11615.5217391304 \tabularnewline
174 & 254488 & 228961.909090909 & 25526.0909090909 \tabularnewline
175 & 104389 & 120189.714285714 & -15800.7142857143 \tabularnewline
176 & 136084 & 110514.952380952 & 25569.0476190476 \tabularnewline
177 & 199476 & 228961.909090909 & -29485.9090909091 \tabularnewline
178 & 92499 & 82620.2978723404 & 9878.70212765958 \tabularnewline
179 & 224330 & 228961.909090909 & -4631.90909090909 \tabularnewline
180 & 135781 & 110514.952380952 & 25266.0476190476 \tabularnewline
181 & 74408 & 110514.952380952 & -36106.9523809524 \tabularnewline
182 & 81240 & 110514.952380952 & -29274.9523809524 \tabularnewline
183 & 14688 & 19387.4 & -4699.4 \tabularnewline
184 & 181633 & 161644.47826087 & 19988.5217391304 \tabularnewline
185 & 271856 & 228961.909090909 & 42894.0909090909 \tabularnewline
186 & 7199 & 19387.4 & -12188.4 \tabularnewline
187 & 46660 & 39424.1333333333 & 7235.86666666667 \tabularnewline
188 & 17547 & 19387.4 & -1840.4 \tabularnewline
189 & 133368 & 161644.47826087 & -28276.4782608696 \tabularnewline
190 & 95227 & 82620.2978723404 & 12606.7021276596 \tabularnewline
191 & 152601 & 110514.952380952 & 42086.0476190476 \tabularnewline
192 & 98146 & 82620.2978723404 & 15525.7021276596 \tabularnewline
193 & 79619 & 110514.952380952 & -30895.9523809524 \tabularnewline
194 & 59194 & 120189.714285714 & -60995.7142857143 \tabularnewline
195 & 139942 & 154722.119047619 & -14780.1190476191 \tabularnewline
196 & 118612 & 110514.952380952 & 8097.04761904762 \tabularnewline
197 & 72880 & 82620.2978723404 & -9740.29787234042 \tabularnewline
198 & 65475 & 60147 & 5328 \tabularnewline
199 & 99643 & 110514.952380952 & -10871.9523809524 \tabularnewline
200 & 71965 & 60147 & 11818 \tabularnewline
201 & 77272 & 60147 & 17125 \tabularnewline
202 & 49289 & 39424.1333333333 & 9864.86666666667 \tabularnewline
203 & 135131 & 120189.714285714 & 14941.2857142857 \tabularnewline
204 & 108446 & 120189.714285714 & -11743.7142857143 \tabularnewline
205 & 89746 & 110514.952380952 & -20768.9523809524 \tabularnewline
206 & 44296 & 39424.1333333333 & 4871.86666666667 \tabularnewline
207 & 77648 & 82620.2978723404 & -4972.29787234042 \tabularnewline
208 & 181528 & 154722.119047619 & 26805.8809523809 \tabularnewline
209 & 134019 & 110514.952380952 & 23504.0476190476 \tabularnewline
210 & 124064 & 123920.888888889 & 143.111111111109 \tabularnewline
211 & 92630 & 82620.2978723404 & 10009.7021276596 \tabularnewline
212 & 121848 & 110514.952380952 & 11333.0476190476 \tabularnewline
213 & 52915 & 60147 & -7232 \tabularnewline
214 & 81872 & 60147 & 21725 \tabularnewline
215 & 58981 & 82620.2978723404 & -23639.2978723404 \tabularnewline
216 & 53515 & 60147 & -6632 \tabularnewline
217 & 60812 & 82620.2978723404 & -21808.2978723404 \tabularnewline
218 & 56375 & 60147 & -3772 \tabularnewline
219 & 65490 & 60147 & 5343 \tabularnewline
220 & 80949 & 60147 & 20802 \tabularnewline
221 & 76302 & 82620.2978723404 & -6318.29787234042 \tabularnewline
222 & 104011 & 154722.119047619 & -50711.1190476191 \tabularnewline
223 & 98104 & 161644.47826087 & -63540.4782608696 \tabularnewline
224 & 67989 & 60147 & 7842 \tabularnewline
225 & 30989 & 19387.4 & 11601.6 \tabularnewline
226 & 135458 & 161644.47826087 & -26186.4782608696 \tabularnewline
227 & 73504 & 60147 & 13357 \tabularnewline
228 & 63123 & 82620.2978723404 & -19497.2978723404 \tabularnewline
229 & 61254 & 82620.2978723404 & -21366.2978723404 \tabularnewline
230 & 74914 & 154722.119047619 & -79808.1190476191 \tabularnewline
231 & 31774 & 60147 & -28373 \tabularnewline
232 & 81437 & 82620.2978723404 & -1183.29787234042 \tabularnewline
233 & 87186 & 110514.952380952 & -23328.9523809524 \tabularnewline
234 & 50090 & 60147 & -10057 \tabularnewline
235 & 65745 & 82620.2978723404 & -16875.2978723404 \tabularnewline
236 & 56653 & 60147 & -3494 \tabularnewline
237 & 158399 & 154722.119047619 & 3676.88095238095 \tabularnewline
238 & 46455 & 60147 & -13692 \tabularnewline
239 & 73624 & 82620.2978723404 & -8996.29787234042 \tabularnewline
240 & 38395 & 60147 & -21752 \tabularnewline
241 & 91899 & 82620.2978723404 & 9278.70212765958 \tabularnewline
242 & 139526 & 161644.47826087 & -22118.4782608696 \tabularnewline
243 & 52164 & 60147 & -7983 \tabularnewline
244 & 51567 & 60147 & -8580 \tabularnewline
245 & 70551 & 82620.2978723404 & -12069.2978723404 \tabularnewline
246 & 84856 & 82620.2978723404 & 2235.70212765958 \tabularnewline
247 & 102538 & 161644.47826087 & -59106.4782608696 \tabularnewline
248 & 86678 & 60147 & 26531 \tabularnewline
249 & 85709 & 82620.2978723404 & 3088.70212765958 \tabularnewline
250 & 34662 & 39424.1333333333 & -4762.13333333333 \tabularnewline
251 & 150580 & 120189.714285714 & 30390.2857142857 \tabularnewline
252 & 99611 & 106213.625 & -6602.625 \tabularnewline
253 & 19349 & 19387.4 & -38.4000000000015 \tabularnewline
254 & 99373 & 82620.2978723404 & 16752.7021276596 \tabularnewline
255 & 86230 & 82620.2978723404 & 3609.70212765958 \tabularnewline
256 & 30837 & 39424.1333333333 & -8587.13333333333 \tabularnewline
257 & 31706 & 39424.1333333333 & -7718.13333333333 \tabularnewline
258 & 89806 & 82620.2978723404 & 7185.70212765958 \tabularnewline
259 & 62088 & 60147 & 1941 \tabularnewline
260 & 40151 & 39424.1333333333 & 726.866666666669 \tabularnewline
261 & 27634 & 39424.1333333333 & -11790.1333333333 \tabularnewline
262 & 76990 & 106213.625 & -29223.625 \tabularnewline
263 & 37460 & 39424.1333333333 & -1964.13333333333 \tabularnewline
264 & 54157 & 60147 & -5990 \tabularnewline
265 & 49862 & 60147 & -10285 \tabularnewline
266 & 84337 & 82620.2978723404 & 1716.70212765958 \tabularnewline
267 & 64175 & 82620.2978723404 & -18445.2978723404 \tabularnewline
268 & 59382 & 60147 & -765 \tabularnewline
269 & 119308 & 60147 & 59161 \tabularnewline
270 & 76702 & 82620.2978723404 & -5918.29787234042 \tabularnewline
271 & 103425 & 110514.952380952 & -7089.95238095238 \tabularnewline
272 & 70344 & 60147 & 10197 \tabularnewline
273 & 43410 & 60147 & -16737 \tabularnewline
274 & 104838 & 106213.625 & -1375.625 \tabularnewline
275 & 62215 & 60147 & 2068 \tabularnewline
276 & 69304 & 82620.2978723404 & -13316.2978723404 \tabularnewline
277 & 53117 & 60147 & -7030 \tabularnewline
278 & 19764 & 19387.4 & 376.599999999999 \tabularnewline
279 & 86680 & 82620.2978723404 & 4059.70212765958 \tabularnewline
280 & 84105 & 60147 & 23958 \tabularnewline
281 & 77945 & 82620.2978723404 & -4675.29787234042 \tabularnewline
282 & 89113 & 82620.2978723404 & 6492.70212765958 \tabularnewline
283 & 91005 & 82620.2978723404 & 8384.70212765958 \tabularnewline
284 & 40248 & 39424.1333333333 & 823.866666666669 \tabularnewline
285 & 64187 & 60147 & 4040 \tabularnewline
286 & 50857 & 82620.2978723404 & -31763.2978723404 \tabularnewline
287 & 56613 & 82620.2978723404 & -26007.2978723404 \tabularnewline
288 & 62792 & 60147 & 2645 \tabularnewline
289 & 72535 & 82620.2978723404 & -10085.2978723404 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158450&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]154722.119047619[/C][C]56184.8809523809[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]123920.888888889[/C][C]-2938.88888888889[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]154722.119047619[/C][C]21785.8809523809[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]228961.909090909[/C][C]-49640.9090909091[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]106213.625[/C][C]16971.375[/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]82620.2978723404[/C][C]19024.7021276596[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]154722.119047619[/C][C]-5661.11904761905[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]154722.119047619[/C][C]10723.8809523809[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]228961.909090909[/C][C]8251.09090909091[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]154722.119047619[/C][C]18603.8809523809[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]154722.119047619[/C][C]-21591.1190476191[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]228961.909090909[/C][C]29911.0909090909[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]154722.119047619[/C][C]25360.8809523809[/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]228961.909090909[/C][C]2002.09090909091[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]161644.47826087[/C][C]75140.5217391304[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]106213.625[/C][C]29259.375[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]228961.909090909[/C][C]-26036.9090909091[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]228961.909090909[/C][C]-13814.9090909091[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]228961.909090909[/C][C]115335.090909091[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]154722.119047619[/C][C]-787.119047619053[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]154722.119047619[/C][C]-21779.1190476191[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]228961.909090909[/C][C]-54237.9090909091[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]228961.909090909[/C][C]-54546.9090909091[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]228961.909090909[/C][C]-3413.90909090909[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]228961.909090909[/C][C]-5329.90909090909[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]154722.119047619[/C][C]-29905.1190476191[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]228961.909090909[/C][C]-7263.90909090909[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]228961.909090909[/C][C]-18194.9090909091[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]154722.119047619[/C][C]15543.8809523809[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]228961.909090909[/C][C]31599.0909090909[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]123920.888888889[/C][C]-39067.8888888889[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]228961.909090909[/C][C]65462.0909090909[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]82620.2978723404[/C][C]18390.7021276596[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]228961.909090909[/C][C]-13320.9090909091[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]228961.909090909[/C][C]96145.0909090909[/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]154722.119047619[/C][C]12819.8809523809[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]82620.2978723404[/C][C]23787.7021276596[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]161644.47826087[/C][C]-65084.4782608696[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]228961.909090909[/C][C]36807.0909090909[/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]154722.119047619[/C][C]-5610.11904761905[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]161644.47826087[/C][C]14179.5217391304[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]154722.119047619[/C][C]-1851.11904761905[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]123920.888888889[/C][C]-12255.8888888889[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]161644.47826087[/C][C]-45236.4782608696[/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]82620.2978723404[/C][C]-3820.29787234042[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]228961.909090909[/C][C]-45794.9090909091[/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]228961.909090909[/C][C]-78332.9090909091[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]154722.119047619[/C][C]14086.8809523809[/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]228961.909090909[/C][C]100305.090909091[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]60147[/C][C]4882[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]82620.2978723404[/C][C]18476.7021276596[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]228961.909090909[/C][C]-10015.9090909091[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]228961.909090909[/C][C]15090.0909090909[/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]82620.2978723404[/C][C]20976.7021276596[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]228961.909090909[/C][C]4366.09090909091[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]228961.909090909[/C][C]27500.0909090909[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]228961.909090909[/C][C]-22800.9090909091[/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]161644.47826087[/C][C]74155.5217391304[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]161644.47826087[/C][C]16294.5217391304[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]228961.909090909[/C][C]-21785.9090909091[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]154722.119047619[/C][C]41830.8809523809[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]154722.119047619[/C][C]19461.8809523809[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]154722.119047619[/C][C]-11476.1190476191[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]228961.909090909[/C][C]-41402.9090909091[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]228961.909090909[/C][C]-41280.9090909091[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]154722.119047619[/C][C]-35706.1190476191[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]228961.909090909[/C][C]-46769.9090909091[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]82620.2978723404[/C][C]-9054.29787234042[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]228961.909090909[/C][C]-33982.9090909091[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]154722.119047619[/C][C]12765.8809523809[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]154722.119047619[/C][C]-10966.1190476191[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]228961.909090909[/C][C]46579.0909090909[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]228961.909090909[/C][C]14237.0909090909[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]154722.119047619[/C][C]28276.8809523809[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]154722.119047619[/C][C]-19073.1190476191[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]154722.119047619[/C][C]-2423.11904761905[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]154722.119047619[/C][C]-34501.1190476191[/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]154722.119047619[/C][C]-8932.11904761905[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]161644.47826087[/C][C]31694.5217391304[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]106213.625[/C][C]-25260.625[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]161644.47826087[/C][C]-38870.4782608696[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]123920.888888889[/C][C]6664.11111111111[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]106213.625[/C][C]6397.375[/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]228961.909090909[/C][C]12104.0909090909[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]228961.909090909[/C][C]-80515.9090909091[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]161644.47826087[/C][C]43068.5217391304[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]228961.909090909[/C][C]-46882.9090909091[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]154722.119047619[/C][C]-14378.1190476191[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]228961.909090909[/C][C]-8445.90909090909[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]228961.909090909[/C][C]14098.0909090909[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]154722.119047619[/C][C]8042.88095238095[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]154722.119047619[/C][C]27890.8809523809[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]228961.909090909[/C][C]3176.09090909091[/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]110514.952380952[/C][C]-24940.9523809524[/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]228961.909090909[/C][C]-3901.90909090909[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]228961.909090909[/C][C]3355.09090909091[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]110514.952380952[/C][C]34451.0476190476[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]60147[/C][C]-16860[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]161644.47826087[/C][C]-5890.47826086957[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]154722.119047619[/C][C]9986.88095238095[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]228961.909090909[/C][C]-27021.9090909091[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]228961.909090909[/C][C]6492.09090909091[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]161644.47826087[/C][C]59156.5217391304[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]82620.2978723404[/C][C]16845.7021276596[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]110514.952380952[/C][C]-17853.9523809524[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]110514.952380952[/C][C]22813.0476190476[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]82620.2978723404[/C][C]-21259.2978723404[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]161644.47826087[/C][C]-35714.4782608696[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]154722.119047619[/C][C]-53972.1190476191[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]154722.119047619[/C][C]69826.8809523809[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]82620.2978723404[/C][C]-304.297872340423[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]82620.2978723404[/C][C]19389.7021276596[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]154722.119047619[/C][C]-53199.1190476191[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]228961.909090909[/C][C]14549.0909090909[/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]154722.119047619[/C][C]-2248.11904761905[/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]161644.47826087[/C][C]-61721.4782608696[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]120189.714285714[/C][C]12297.2857142857[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]228961.909090909[/C][C]88432.0909090909[/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]161644.47826087[/C][C]47996.5217391304[/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]161644.47826087[/C][C]-29946.4782608696[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]82620.2978723404[/C][C]9114.70212765958[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]228961.909090909[/C][C]15787.0909090909[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]154722.119047619[/C][C]29787.8809523809[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]110514.952380952[/C][C]-30651.9523809524[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]123920.888888889[/C][C]4502.11111111111[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]82620.2978723404[/C][C]15218.7021276596[/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]120189.714285714[/C][C]30911.2857142857[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]228961.909090909[/C][C]43496.0909090909[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]123920.888888889[/C][C]48573.1111111111[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]110514.952380952[/C][C]-2471.95238095238[/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]228961.909090909[/C][C]21617.0909090909[/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]123920.888888889[/C][C]34094.1111111111[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]82620.2978723404[/C][C]16245.7021276596[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]82620.2978723404[/C][C]2818.70212765958[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]228961.909090909[/C][C]280.090909090912[/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]123920.888888889[/C][C]-39713.8888888889[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]110514.952380952[/C][C]9930.04761904762[/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]154722.119047619[/C][C]-23653.1190476191[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]154722.119047619[/C][C]49548.8809523809[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]228961.909090909[/C][C]-63418.9090909091[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]110514.952380952[/C][C]31207.0476190476[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]106213.625[/C][C]9834.375[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]161644.47826087[/C][C]88402.5217391304[/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]228961.909090909[/C][C]-33123.9090909091[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]161644.47826087[/C][C]11615.5217391304[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]228961.909090909[/C][C]25526.0909090909[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]120189.714285714[/C][C]-15800.7142857143[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]110514.952380952[/C][C]25569.0476190476[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]228961.909090909[/C][C]-29485.9090909091[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]82620.2978723404[/C][C]9878.70212765958[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]228961.909090909[/C][C]-4631.90909090909[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]110514.952380952[/C][C]25266.0476190476[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]110514.952380952[/C][C]-36106.9523809524[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]110514.952380952[/C][C]-29274.9523809524[/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]161644.47826087[/C][C]19988.5217391304[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]228961.909090909[/C][C]42894.0909090909[/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]161644.47826087[/C][C]-28276.4782608696[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]82620.2978723404[/C][C]12606.7021276596[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]110514.952380952[/C][C]42086.0476190476[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]82620.2978723404[/C][C]15525.7021276596[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]110514.952380952[/C][C]-30895.9523809524[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]120189.714285714[/C][C]-60995.7142857143[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]154722.119047619[/C][C]-14780.1190476191[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]110514.952380952[/C][C]8097.04761904762[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]82620.2978723404[/C][C]-9740.29787234042[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]60147[/C][C]5328[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]110514.952380952[/C][C]-10871.9523809524[/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]120189.714285714[/C][C]14941.2857142857[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]120189.714285714[/C][C]-11743.7142857143[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]110514.952380952[/C][C]-20768.9523809524[/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]82620.2978723404[/C][C]-4972.29787234042[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]154722.119047619[/C][C]26805.8809523809[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]110514.952380952[/C][C]23504.0476190476[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]123920.888888889[/C][C]143.111111111109[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]82620.2978723404[/C][C]10009.7021276596[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]110514.952380952[/C][C]11333.0476190476[/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]82620.2978723404[/C][C]-23639.2978723404[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]60147[/C][C]-6632[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]82620.2978723404[/C][C]-21808.2978723404[/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]82620.2978723404[/C][C]-6318.29787234042[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]154722.119047619[/C][C]-50711.1190476191[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]161644.47826087[/C][C]-63540.4782608696[/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]161644.47826087[/C][C]-26186.4782608696[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]60147[/C][C]13357[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]82620.2978723404[/C][C]-19497.2978723404[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]82620.2978723404[/C][C]-21366.2978723404[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]154722.119047619[/C][C]-79808.1190476191[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]60147[/C][C]-28373[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]82620.2978723404[/C][C]-1183.29787234042[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]110514.952380952[/C][C]-23328.9523809524[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]60147[/C][C]-10057[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]82620.2978723404[/C][C]-16875.2978723404[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]60147[/C][C]-3494[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]154722.119047619[/C][C]3676.88095238095[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]60147[/C][C]-13692[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]82620.2978723404[/C][C]-8996.29787234042[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]60147[/C][C]-21752[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]82620.2978723404[/C][C]9278.70212765958[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]161644.47826087[/C][C]-22118.4782608696[/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]82620.2978723404[/C][C]-12069.2978723404[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]82620.2978723404[/C][C]2235.70212765958[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]161644.47826087[/C][C]-59106.4782608696[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]60147[/C][C]26531[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]82620.2978723404[/C][C]3088.70212765958[/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]120189.714285714[/C][C]30390.2857142857[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]106213.625[/C][C]-6602.625[/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]82620.2978723404[/C][C]16752.7021276596[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]82620.2978723404[/C][C]3609.70212765958[/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]82620.2978723404[/C][C]7185.70212765958[/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]106213.625[/C][C]-29223.625[/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]82620.2978723404[/C][C]1716.70212765958[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]82620.2978723404[/C][C]-18445.2978723404[/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]82620.2978723404[/C][C]-5918.29787234042[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]110514.952380952[/C][C]-7089.95238095238[/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]106213.625[/C][C]-1375.625[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]60147[/C][C]2068[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]82620.2978723404[/C][C]-13316.2978723404[/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]82620.2978723404[/C][C]4059.70212765958[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]60147[/C][C]23958[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]82620.2978723404[/C][C]-4675.29787234042[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]82620.2978723404[/C][C]6492.70212765958[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]82620.2978723404[/C][C]8384.70212765958[/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]82620.2978723404[/C][C]-31763.2978723404[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]82620.2978723404[/C][C]-26007.2978723404[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]60147[/C][C]2645[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]82620.2978723404[/C][C]-10085.2978723404[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158450&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158450&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
1210907154722.11904761956184.8809523809
2120982123920.888888889-2938.88888888889
3176508154722.11904761921785.8809523809
4179321228961.909090909-49640.9090909091
5123185106213.62516971.375
65274639424.133333333313321.8666666667
7385534321098.062564435.9375
83317019387.413782.6
910164582620.297872340419024.7021276596
10149061154722.119047619-5661.11904761905
11165446154722.11904761910723.8809523809
12237213228961.9090909098251.09090909091
13173326154722.11904761918603.8809523809
14133131154722.119047619-21591.1190476191
15258873228961.90909090929911.0909090909
16180083154722.11904761925360.8809523809
17324799321098.06253700.9375
18230964228961.9090909092002.09090909091
19236785161644.4782608775140.5217391304
20135473106213.62529259.375
21202925228961.909090909-26036.9090909091
22215147228961.909090909-13814.9090909091
23344297228961.909090909115335.090909091
24153935154722.119047619-787.119047619053
25132943154722.119047619-21779.1190476191
26174724228961.909090909-54237.9090909091
27174415228961.909090909-54546.9090909091
28225548228961.909090909-3413.90909090909
29223632228961.909090909-5329.90909090909
30124817154722.119047619-29905.1190476191
31221698228961.909090909-7263.90909090909
32210767228961.909090909-18194.9090909091
33170266154722.11904761915543.8809523809
34260561228961.90909090931599.0909090909
3584853123920.888888889-39067.8888888889
36294424228961.90909090965462.0909090909
3710101182620.297872340418390.7021276596
38215641228961.909090909-13320.9090909091
39325107228961.90909090996145.0909090909
40717619387.4-12211.4
41167542154722.11904761912819.8809523809
4210640882620.297872340423787.7021276596
4396560161644.47826087-65084.4782608696
44265769228961.90909090936807.0909090909
45269651321098.0625-51447.0625
46149112154722.119047619-5610.11904761905
47175824161644.4782608714179.5217391304
48152871154722.119047619-1851.11904761905
49111665123920.888888889-12255.8888888889
50116408161644.47826087-45236.4782608696
51362301321098.062541202.9375
527880082620.2978723404-3820.29787234042
53183167228961.909090909-45794.9090909091
54277965321098.0625-43133.0625
55150629228961.909090909-78332.9090909091
56168809154722.11904761914086.8809523809
572418839424.1333333333-15236.1333333333
58329267228961.909090909100305.090909091
5965029601474882
6010109782620.297872340418476.7021276596
61218946228961.909090909-10015.9090909091
62244052228961.90909090915090.0909090909
63341570321098.062520471.9375
6410359782620.297872340420976.7021276596
65233328228961.9090909094366.09090909091
66256462228961.90909090927500.0909090909
67206161228961.909090909-22800.9090909091
68311473321098.0625-9625.0625
69235800161644.4782608774155.5217391304
70177939161644.4782608716294.5217391304
71207176228961.909090909-21785.9090909091
72196553154722.11904761941830.8809523809
73174184154722.11904761919461.8809523809
74143246154722.119047619-11476.1190476191
75187559228961.909090909-41402.9090909091
76187681228961.909090909-41280.9090909091
77119016154722.119047619-35706.1190476191
78182192228961.909090909-46769.9090909091
797356682620.2978723404-9054.29787234042
80194979228961.909090909-33982.9090909091
81167488154722.11904761912765.8809523809
82143756154722.119047619-10966.1190476191
83275541228961.90909090946579.0909090909
84243199228961.90909090914237.0909090909
85182999154722.11904761928276.8809523809
86135649154722.119047619-19073.1190476191
87152299154722.119047619-2423.11904761905
88120221154722.119047619-34501.1190476191
89346485321098.062525386.9375
90145790154722.119047619-8932.11904761905
91193339161644.4782608731694.5217391304
9280953106213.625-25260.625
93122774161644.47826087-38870.4782608696
94130585123920.8888888896664.11111111111
95112611106213.6256397.375
96286468321098.0625-34630.0625
97241066228961.90909090912104.0909090909
98148446228961.909090909-80515.9090909091
99204713161644.4782608743068.5217391304
100182079228961.909090909-46882.9090909091
101140344154722.119047619-14378.1190476191
102220516228961.909090909-8445.90909090909
103243060228961.90909090914098.0909090909
104162765154722.1190476198042.88095238095
105182613154722.11904761927890.8809523809
106232138228961.9090909093176.09090909091
107265318321098.0625-55780.0625
10885574110514.952380952-24940.9523809524
109310839321098.0625-10259.0625
110225060228961.909090909-3901.90909090909
111232317228961.9090909093355.09090909091
112144966110514.95238095234451.0476190476
1134328760147-16860
114155754161644.47826087-5890.47826086957
115164709154722.1190476199986.88095238095
116201940228961.909090909-27021.9090909091
117235454228961.9090909096492.09090909091
118220801161644.4782608759156.5217391304
1199946682620.297872340416845.7021276596
12092661110514.952380952-17853.9523809524
121133328110514.95238095222813.0476190476
1226136182620.2978723404-21259.2978723404
123125930161644.47826087-35714.4782608696
124100750154722.119047619-53972.1190476191
125224549154722.11904761969826.8809523809
1268231682620.2978723404-304.297872340423
12710201082620.297872340419389.7021276596
128101523154722.119047619-53199.1190476191
129243511228961.90909090914549.0909090909
1302293819387.43550.6
1314156660147-18581
132152474154722.119047619-2248.11904761905
1336185739424.133333333322432.8666666667
13499923161644.47826087-61721.4782608696
135132487120189.71428571412297.2857142857
136317394228961.90909090988432.0909090909
1372105419387.41666.6
138209641161644.4782608747996.5217391304
1392264860147-37499
1403141439424.1333333333-8010.13333333333
1414669860147-13449
142131698161644.47826087-29946.4782608696
1439173582620.29787234049114.70212765958
144244749228961.90909090915787.0909090909
145184510154722.11904761929787.8809523809
14679863110514.952380952-30651.9523809524
147128423123920.8888888894502.11111111111
1489783982620.297872340415218.7021276596
1493821439424.1333333333-1210.13333333333
150151101120189.71428571430911.2857142857
151272458228961.90909090943496.0909090909
152172494123920.88888888948573.1111111111
153108043110514.952380952-2471.95238095238
154328107321098.06257008.9375
155250579228961.90909090921617.0909090909
156351067321098.062529968.9375
157158015123920.88888888934094.1111111111
1589886682620.297872340416245.7021276596
1598543982620.29787234042818.70212765958
160229242228961.909090909280.090909090912
161351619321098.062530520.9375
16284207123920.888888889-39713.8888888889
163120445110514.9523809529930.04761904762
164324598321098.06253499.9375
165131069154722.119047619-23653.1190476191
166204271154722.11904761949548.8809523809
167165543228961.909090909-63418.9090909091
168141722110514.95238095231207.0476190476
169116048106213.6259834.375
170250047161644.4782608788402.5217391304
171299775321098.0625-21323.0625
172195838228961.909090909-33123.9090909091
173173260161644.4782608711615.5217391304
174254488228961.90909090925526.0909090909
175104389120189.714285714-15800.7142857143
176136084110514.95238095225569.0476190476
177199476228961.909090909-29485.9090909091
1789249982620.29787234049878.70212765958
179224330228961.909090909-4631.90909090909
180135781110514.95238095225266.0476190476
18174408110514.952380952-36106.9523809524
18281240110514.952380952-29274.9523809524
1831468819387.4-4699.4
184181633161644.4782608719988.5217391304
185271856228961.90909090942894.0909090909
186719919387.4-12188.4
1874666039424.13333333337235.86666666667
1881754719387.4-1840.4
189133368161644.47826087-28276.4782608696
1909522782620.297872340412606.7021276596
191152601110514.95238095242086.0476190476
1929814682620.297872340415525.7021276596
19379619110514.952380952-30895.9523809524
19459194120189.714285714-60995.7142857143
195139942154722.119047619-14780.1190476191
196118612110514.9523809528097.04761904762
1977288082620.2978723404-9740.29787234042
19865475601475328
19999643110514.952380952-10871.9523809524
200719656014711818
201772726014717125
2024928939424.13333333339864.86666666667
203135131120189.71428571414941.2857142857
204108446120189.714285714-11743.7142857143
20589746110514.952380952-20768.9523809524
2064429639424.13333333334871.86666666667
2077764882620.2978723404-4972.29787234042
208181528154722.11904761926805.8809523809
209134019110514.95238095223504.0476190476
210124064123920.888888889143.111111111109
2119263082620.297872340410009.7021276596
212121848110514.95238095211333.0476190476
2135291560147-7232
214818726014721725
2155898182620.2978723404-23639.2978723404
2165351560147-6632
2176081282620.2978723404-21808.2978723404
2185637560147-3772
21965490601475343
220809496014720802
2217630282620.2978723404-6318.29787234042
222104011154722.119047619-50711.1190476191
22398104161644.47826087-63540.4782608696
22467989601477842
2253098919387.411601.6
226135458161644.47826087-26186.4782608696
227735046014713357
2286312382620.2978723404-19497.2978723404
2296125482620.2978723404-21366.2978723404
23074914154722.119047619-79808.1190476191
2313177460147-28373
2328143782620.2978723404-1183.29787234042
23387186110514.952380952-23328.9523809524
2345009060147-10057
2356574582620.2978723404-16875.2978723404
2365665360147-3494
237158399154722.1190476193676.88095238095
2384645560147-13692
2397362482620.2978723404-8996.29787234042
2403839560147-21752
2419189982620.29787234049278.70212765958
242139526161644.47826087-22118.4782608696
2435216460147-7983
2445156760147-8580
2457055182620.2978723404-12069.2978723404
2468485682620.29787234042235.70212765958
247102538161644.47826087-59106.4782608696
248866786014726531
2498570982620.29787234043088.70212765958
2503466239424.1333333333-4762.13333333333
251150580120189.71428571430390.2857142857
25299611106213.625-6602.625
2531934919387.4-38.4000000000015
2549937382620.297872340416752.7021276596
2558623082620.29787234043609.70212765958
2563083739424.1333333333-8587.13333333333
2573170639424.1333333333-7718.13333333333
2588980682620.29787234047185.70212765958
25962088601471941
2604015139424.1333333333726.866666666669
2612763439424.1333333333-11790.1333333333
26276990106213.625-29223.625
2633746039424.1333333333-1964.13333333333
2645415760147-5990
2654986260147-10285
2668433782620.29787234041716.70212765958
2676417582620.2978723404-18445.2978723404
2685938260147-765
2691193086014759161
2707670282620.2978723404-5918.29787234042
271103425110514.952380952-7089.95238095238
272703446014710197
2734341060147-16737
274104838106213.625-1375.625
27562215601472068
2766930482620.2978723404-13316.2978723404
2775311760147-7030
2781976419387.4376.599999999999
2798668082620.29787234044059.70212765958
280841056014723958
2817794582620.2978723404-4675.29787234042
2828911382620.29787234046492.70212765958
2839100582620.29787234048384.70212765958
2844024839424.1333333333823.866666666669
28564187601474040
2865085782620.2978723404-31763.2978723404
2875661382620.2978723404-26007.2978723404
28862792601472645
2897253582620.2978723404-10085.2978723404



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')
}