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Description of Statistical Computation

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 computationFri, 23 Dec 2011 12:08:04 -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/23/t1324660232167sh7xhfe32bdw.htm/, Retrieved Mon, 29 Apr 2024 22:17:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160592, Retrieved Mon, 29 Apr 2024 22:17:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [Kendall tau Corre...] [2011-12-23 15:23:10] [2adcc8dcd741502b8a9375c7fd3d7ce3]
- RMPD  [Multiple Regression] [Multiple Regression] [2011-12-23 16:06:50] [2adcc8dcd741502b8a9375c7fd3d7ce3]
- RM        [Recursive Partitioning (Regression Trees)] [recursive partiti...] [2011-12-23 17:08:04] [15b176dce75b54ed867df2f0f1df7481] [Current]
- RM D        [Skewness and Kurtosis Test] [skewness and kurt...] [2011-12-23 18:01:45] [2adcc8dcd741502b8a9375c7fd3d7ce3]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1418	210907	56	79	30	115	94	112285	145
869	120982	56	58	28	109	103	84786	101
1530	176508	54	60	38	146	93	83123	98
2172	179321	89	108	30	116	103	101193	132
901	123185	40	49	22	68	51	38361	60
463	52746	25	0	26	101	70	68504	38
3201	385534	92	121	25	96	91	119182	144
371	33170	18	1	18	67	22	22807	5
1192	101645	63	20	11	44	38	17140	28
1583	149061	44	43	26	100	93	116174	84
1439	165446	33	69	25	93	60	57635	79
1764	237213	84	78	38	140	123	66198	127
1495	173326	88	86	44	166	148	71701	78
1373	133131	55	44	30	99	90	57793	60
2187	258873	60	104	40	139	124	80444	131
1491	180083	66	63	34	130	70	53855	84
4041	324799	154	158	47	181	168	97668	133
1706	230964	53	102	30	116	115	133824	150
2152	236785	119	77	31	116	71	101481	91
1036	135473	41	82	23	88	66	99645	132
1882	202925	61	115	36	139	134	114789	136
1929	215147	58	101	36	135	117	99052	124
2242	344297	75	80	30	108	108	67654	118
1220	153935	33	50	25	89	84	65553	70
1289	132943	40	83	39	156	156	97500	107
2515	174724	92	123	34	129	120	69112	119
2147	174415	100	73	31	118	114	82753	89
2352	225548	112	81	31	118	94	85323	112
1638	223632	73	105	33	125	120	72654	108
1222	124817	40	47	25	95	81	30727	52
1812	221698	45	105	33	126	110	77873	112
1677	210767	60	94	35	135	133	117478	116
1579	170266	62	44	42	154	122	74007	123
1731	260561	75	114	43	165	158	90183	125
807	84853	31	38	30	113	109	61542	27
2452	294424	77	107	33	127	124	101494	162
829	101011	34	30	13	52	39	27570	32
1940	215641	46	71	32	121	92	55813	64
2662	325107	99	84	36	136	126	79215	92
186	7176	17	0	0	0	0	1423	0
1499	167542	66	59	28	108	70	55461	83
865	106408	30	33	14	46	37	31081	41
1793	96560	76	42	17	54	38	22996	47
2527	265769	146	96	32	124	120	83122	120
2747	269651	67	106	30	115	93	70106	105
1324	149112	56	56	35	128	95	60578	79
2702	175824	107	57	20	80	77	39992	65
1383	152871	58	59	28	97	90	79892	70
1179	111665	34	39	28	104	80	49810	55
2099	116408	61	34	39	59	31	71570	39
4308	362301	119	76	34	125	110	100708	67
918	78800	42	20	26	82	66	33032	21
1831	183167	66	91	39	149	138	82875	127
3373	277965	89	115	39	149	133	139077	152
1713	150629	44	85	33	122	113	71595	113
1438	168809	66	76	28	118	100	72260	99
496	24188	24	8	4	12	7	5950	7
2253	329267	259	79	39	144	140	115762	141
744	65029	17	21	18	67	61	32551	21
1161	101097	64	30	14	52	41	31701	35
2352	218946	41	76	29	108	96	80670	109
2144	244052	68	101	44	166	164	143558	133
4691	341570	168	94	21	80	78	117105	123
1112	103597	43	27	16	60	49	23789	26
2694	233328	132	92	28	107	102	120733	230
1973	256462	105	123	35	127	124	105195	166
1769	206161	71	75	28	107	99	73107	68
3148	311473	112	128	38	146	129	132068	147
2474	235800	94	105	23	84	62	149193	179
2084	177939	82	55	36	141	73	46821	61
1954	207176	70	56	32	123	114	87011	101
1226	196553	57	41	29	111	99	95260	108
1389	174184	53	72	25	98	70	55183	90
1496	143246	103	67	27	105	104	106671	114
2269	187559	121	75	36	135	116	73511	103
1833	187681	62	114	28	107	91	92945	142
1268	119016	52	118	23	85	74	78664	79
1943	182192	52	77	40	155	138	70054	88
893	73566	32	22	23	88	67	22618	25
1762	194979	62	66	40	155	151	74011	83
1403	167488	45	69	28	104	72	83737	113
1425	143756	46	105	34	132	120	69094	118
1857	275541	63	116	33	127	115	93133	110
1840	243199	75	88	28	108	105	95536	129
1502	182999	88	73	34	129	104	225920	51
1441	135649	46	99	30	116	108	62133	93
1420	152299	53	62	33	122	98	61370	76
1416	120221	37	53	22	85	69	43836	49
2970	346485	90	118	38	147	111	106117	118
1317	145790	63	30	26	99	99	38692	38
1644	193339	78	100	35	87	71	84651	141
870	80953	25	49	8	28	27	56622	58
1654	122774	45	24	24	90	69	15986	27
1054	130585	46	67	29	109	107	95364	91
937	112611	41	46	20	78	73	26706	48
3004	286468	144	57	29	111	107	89691	63
2008	241066	82	75	45	158	93	67267	56
2547	148446	91	135	37	141	129	126846	144
1885	204713	71	68	33	122	69	41140	73
1626	182079	63	124	33	124	118	102860	168
1468	140344	53	33	25	93	73	51715	64
2445	220516	62	98	32	124	119	55801	97
1964	243060	63	58	29	112	104	111813	117
1381	162765	32	68	28	108	107	120293	100
1369	182613	39	81	28	99	99	138599	149
1659	232138	62	131	31	117	90	161647	187
2888	265318	117	110	52	199	197	115929	127
1290	85574	34	37	21	78	36	24266	37
2845	310839	92	130	24	91	85	162901	245
1982	225060	93	93	41	158	139	109825	87
1904	232317	54	118	33	126	106	129838	177
1391	144966	144	39	32	122	50	37510	49
602	43287	14	13	19	71	64	43750	49
1743	155754	61	74	20	75	31	40652	73
1559	164709	109	81	31	115	63	87771	177
2014	201940	38	109	31	119	92	85872	94
2143	235454	73	151	32	124	106	89275	117
2146	220801	75	51	18	72	63	44418	60
874	99466	50	28	23	91	69	192565	55
1590	92661	61	40	17	45	41	35232	39
1590	133328	55	56	20	78	56	40909	64
1210	61361	77	27	12	39	25	13294	26
2072	125930	75	37	17	68	65	32387	64
1281	100750	72	83	30	119	93	140867	58
1401	224549	50	54	31	117	114	120662	95
834	82316	32	27	10	39	38	21233	25
1105	102010	53	28	13	50	44	44332	26
1272	101523	42	59	22	88	87	61056	76
1944	243511	71	133	42	155	110	101338	129
391	22938	10	12	1	0	0	1168	11
761	41566	35	0	9	36	27	13497	2
1605	152474	65	106	32	123	83	65567	101
530	61857	25	23	11	32	30	25162	28
1988	99923	66	44	25	99	80	32334	36
1386	132487	41	71	36	136	98	40735	89
2395	317394	86	116	31	117	82	91413	193
387	21054	16	4	0	0	0	855	4
1742	209641	42	62	24	88	60	97068	84
620	22648	19	12	13	39	28	44339	23
449	31414	19	18	8	25	9	14116	39
800	46698	45	14	13	52	33	10288	14
1684	131698	65	60	19	75	59	65622	78
1050	91735	35	7	18	71	49	16563	14
2699	244749	95	98	33	124	115	76643	101
1606	184510	49	64	40	151	140	110681	82
1502	79863	37	29	22	71	49	29011	24
1204	128423	64	32	38	145	120	92696	36
1138	97839	38	25	24	87	66	94785	75
568	38214	34	16	8	27	21	8773	16
1459	151101	32	48	35	131	124	83209	55
2158	272458	65	100	43	162	152	93815	131
1111	172494	52	46	43	165	139	86687	131
1421	108043	62	45	14	54	38	34553	39
2833	328107	65	129	41	159	144	105547	144
1955	250579	83	130	38	147	120	103487	139
2922	351067	95	136	45	170	160	213688	211
1002	158015	29	59	31	119	114	71220	78
1060	98866	18	25	13	49	39	23517	50
956	85439	33	32	28	104	78	56926	39
2186	229242	247	63	31	120	119	91721	90
3604	351619	139	95	40	150	141	115168	166
1035	84207	29	14	30	112	101	111194	12
1417	120445	118	36	16	59	56	51009	57
3261	324598	110	113	37	136	133	135777	133
1587	131069	67	47	30	107	83	51513	69
1424	204271	42	92	35	130	116	74163	119
1701	165543	65	70	32	115	90	51633	119
1249	141722	94	19	27	107	36	75345	65
946	116048	64	50	20	75	50	33416	61
1926	250047	81	41	18	71	61	83305	49
3352	299775	95	91	31	120	97	98952	101
1641	195838	67	111	31	116	98	102372	196
2035	173260	63	41	21	79	78	37238	15
2312	254488	83	120	39	150	117	103772	136
1369	104389	45	135	41	156	148	123969	89
1577	136084	30	27	13	51	41	27142	40
2201	199476	70	87	32	118	105	135400	123
961	92499	32	25	18	71	55	21399	21
1900	224330	83	131	39	144	132	130115	163
1254	135781	31	45	14	47	44	24874	29
1335	74408	67	29	7	28	21	34988	35
1597	81240	66	58	17	68	50	45549	13
207	14688	10	4	0	0	0	6023	5
1645	181633	70	47	30	110	73	64466	96
2429	271856	103	109	37	147	86	54990	151
151	7199	5	7	0	0	0	1644	6
474	46660	20	12	5	15	13	6179	13
141	17547	5	0	1	4	4	3926	3
1639	133368	36	37	16	64	57	32755	56
872	95227	34	37	32	111	48	34777	23
1318	152601	48	46	24	85	46	73224	57
1018	98146	40	15	17	68	48	27114	14
1383	79619	43	42	11	40	32	20760	43
1314	59194	31	7	24	80	68	37636	20
1335	139942	42	54	22	88	87	65461	72
1403	118612	46	54	12	48	43	30080	87
910	72880	33	14	19	76	67	24094	21
616	65475	18	16	13	51	46	69008	56
1407	99643	55	33	17	67	46	54968	59
771	71965	35	32	15	59	56	46090	82
766	77272	59	21	16	61	48	27507	43
473	49289	19	15	24	76	44	10672	25
1376	135131	66	38	15	60	60	34029	38
1232	108446	60	22	17	68	65	46300	25
1521	89746	36	28	18	71	55	24760	38
572	44296	25	10	20	76	38	18779	12
1059	77648	47	31	16	62	52	21280	29
1544	181528	54	32	16	61	60	40662	47
1230	134019	53	32	18	67	54	28987	45
1206	124064	40	43	22	88	86	22827	40
1205	92630	40	27	8	30	24	18513	30
1255	121848	39	37	17	64	52	30594	41
613	52915	14	20	18	68	49	24006	25
721	81872	45	32	16	64	61	27913	23
1109	58981	36	0	23	91	61	42744	14
740	53515	28	5	22	88	81	12934	16
1126	60812	44	26	13	52	43	22574	26
728	56375	30	10	13	49	40	41385	21
689	65490	22	27	16	62	40	18653	27
592	80949	17	11	16	61	56	18472	9
995	76302	31	29	20	76	68	30976	33
1613	104011	55	25	22	88	79	63339	42
2048	98104	54	55	17	66	47	25568	68
705	67989	21	23	18	71	57	33747	32
301	30989	14	5	17	68	41	4154	6
1803	135458	81	43	12	48	29	19474	67
799	73504	35	23	7	25	3	35130	33
861	63123	43	34	17	68	60	39067	77
1186	61254	46	36	14	41	30	13310	46
1451	74914	30	35	23	90	79	65892	30
628	31774	23	0	17	66	47	4143	0
1161	81437	38	37	14	54	40	28579	36
1463	87186	54	28	15	59	48	51776	46
742	50090	20	16	17	60	36	21152	18
979	65745	53	26	21	77	42	38084	48
675	56653	45	38	18	68	49	27717	29
1241	158399	39	23	18	72	57	32928	28
676	46455	20	22	17	67	12	11342	34
1049	73624	24	30	17	64	40	19499	33
620	38395	31	16	16	63	43	16380	34
1081	91899	35	18	15	59	33	36874	33
1688	139526	151	28	21	84	77	48259	80
736	52164	52	32	16	64	43	16734	32
617	51567	30	21	14	56	45	28207	30
812	70551	31	23	15	54	47	30143	41
1051	84856	29	29	17	67	43	41369	41
1656	102538	57	50	15	58	45	45833	51
705	86678	40	12	15	59	50	29156	18
945	85709	44	21	10	40	35	35944	34
554	34662	25	18	6	22	7	36278	31
1597	150580	77	27	22	83	71	45588	39
982	99611	35	41	21	81	67	45097	54
222	19349	11	13	1	2	0	3895	14
1212	99373	63	12	18	72	62	28394	24
1143	86230	44	21	17	61	54	18632	24
435	30837	19	8	4	15	4	2325	8
532	31706	13	26	10	32	25	25139	26
882	89806	42	27	16	62	40	27975	19
608	62088	38	13	16	58	38	14483	11
459	40151	29	16	9	36	19	13127	14
578	27634	20	2	16	59	17	5839	1
826	76990	27	42	17	68	67	24069	39
509	37460	20	5	7	21	14	3738	5
717	54157	19	37	15	55	30	18625	37
637	49862	37	17	14	54	54	36341	32
857	84337	26	38	14	55	35	24548	38
830	64175	42	37	18	72	59	21792	47
652	59382	49	29	12	41	24	26263	47
707	119308	30	32	16	61	58	23686	37
954	76702	49	35	21	67	42	49303	51
1461	103425	67	17	19	76	46	25659	45
672	70344	28	20	16	64	61	28904	21
778	43410	19	7	1	3	3	2781	1
1141	104838	49	46	16	63	52	29236	42
680	62215	27	24	10	40	25	19546	26
1090	69304	30	40	19	69	40	22818	21
616	53117	22	3	12	48	32	32689	4
285	19764	12	10	2	8	4	5752	10
1145	86680	31	37	14	52	49	22197	43
733	84105	20	17	17	66	63	20055	34
888	77945	20	28	19	76	67	25272	31
849	89113	39	19	14	43	32	82206	19
1182	91005	29	29	11	39	23	32073	34
528	40248	16	8	4	14	7	5444	6
642	64187	27	10	16	61	54	20154	11
947	50857	21	15	20	71	37	36944	24
819	56613	19	15	12	44	35	8019	16
757	62792	35	28	15	60	51	30884	72
894	72535	14	17	16	64	39	19540	21

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 7 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160592&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160592&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160592&T=0

As an alternative you can also use a QR Code:  
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'Gwilym Jenkins' @ jenkins.wessa.net






Goodness of Fit
Correlation0.9344
R-squared0.8731
RMSE29281.5104

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.9344 \tabularnewline
R-squared & 0.8731 \tabularnewline
RMSE & 29281.5104 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160592&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.9344[/C][/ROW]
[ROW][C]R-squared[/C][C]0.8731[/C][/ROW]
[ROW][C]RMSE[/C][C]29281.5104[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160592&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160592&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Goodness of Fit
Correlation0.9344
R-squared0.8731
RMSE29281.5104






Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
1210907173457.13333333337449.8666666667
2120982124193.777777778-3211.77777777778
3176508173457.1333333333050.86666666667
4179321227016.525423729-47695.5254237288
5123185124193.777777778-1008.77777777778
65274639424.133333333313321.8666666667
7385534321098.062564435.9375
83317019387.413782.6
910164586007.415637.6
10149061142807.6363636366253.36363636365
11165446142807.63636363622638.3636363636
12237213227016.52542372910196.4745762712
13173326142807.63636363630518.3636363636
14133131142807.636363636-9676.63636363635
15258873227016.52542372931856.4745762712
16180083142807.63636363637275.3636363636
17324799321098.06253700.9375
18230964227016.5254237293947.4745762712
19236785227016.5254237299768.4745762712
20135473124193.77777777811279.2222222222
21202925227016.525423729-24091.5254237288
22215147227016.525423729-11869.5254237288
23344297227016.525423729117280.474576271
24153935142807.63636363611127.3636363636
25132943173457.133333333-40514.1333333333
26174724227016.525423729-52292.5254237288
27174415227016.525423729-52601.5254237288
28225548227016.525423729-1468.5254237288
29223632227016.525423729-3384.5254237288
30124817142807.636363636-17990.6363636364
31221698227016.525423729-5318.5254237288
32210767227016.525423729-16249.5254237288
33170266173457.133333333-3191.13333333333
34260561227016.52542372933544.4745762712
358485386007.4-1154.39999999999
36294424227016.52542372967407.4745762712
3710101186007.415003.6
38215641227016.525423729-11375.5254237288
39325107227016.52542372998090.4745762712
40717619387.4-12211.4
41167542142807.63636363624734.3636363636
4210640886007.420400.6
4396560153513.315789474-56953.3157894737
44265769227016.52542372938752.4745762712
45269651321098.0625-51447.0625
46149112142807.6363636366304.36363636365
47175824153513.31578947422310.6842105263
48152871142807.63636363610063.3636363636
4911166586007.425657.6
50116408153513.315789474-37105.3157894737
51362301321098.062541202.9375
527880086007.4-7207.39999999999
53183167227016.525423729-43849.5254237288
54277965321098.0625-43133.0625
55150629227016.525423729-76387.5254237288
56168809173457.133333333-4648.13333333333
572418839424.1333333333-15236.1333333333
58329267227016.525423729102250.474576271
5965029601474882
6010109786007.415089.6
61218946227016.525423729-8070.5254237288
62244052227016.52542372917035.4745762712
63341570321098.062520471.9375
6410359786007.417589.6
65233328227016.5254237296311.4745762712
66256462227016.52542372929445.4745762712
67206161227016.525423729-20855.5254237288
68311473321098.0625-9625.0625
69235800153513.31578947482286.6842105263
70177939227016.525423729-49077.5254237288
71207176227016.525423729-19840.5254237288
72196553173457.13333333323095.8666666667
73174184142807.63636363631376.3636363636
74143246173457.133333333-30211.1333333333
75187559227016.525423729-39457.5254237288
76187681227016.525423729-39335.5254237288
77119016142807.636363636-23791.6363636364
78182192227016.525423729-44824.5254237288
797356686007.4-12441.4
80194979227016.525423729-32037.5254237288
81167488173457.133333333-5969.13333333333
82143756173457.133333333-29701.1333333333
83275541227016.52542372948524.4745762712
84243199227016.52542372916182.4745762712
85182999142807.63636363640191.3636363636
86135649142807.636363636-7158.63636363635
87152299142807.6363636369491.36363636365
88120221142807.636363636-22586.6363636364
89346485321098.062525386.9375
90145790106634.63636363639155.3636363636
91193339153513.31578947439825.6842105263
928095386007.4-5054.39999999999
93122774153513.315789474-30739.3157894737
94130585124193.7777777786391.22222222222
9511261186007.426603.6
96286468321098.0625-34630.0625
97241066227016.52542372914049.4745762712
98148446227016.525423729-78570.5254237288
99204713227016.525423729-22303.5254237288
100182079227016.525423729-44937.5254237288
101140344142807.636363636-2463.63636363635
102220516227016.525423729-6500.5254237288
103243060227016.52542372916043.4745762712
104162765173457.133333333-10692.1333333333
105182613173457.1333333339155.86666666667
106232138227016.5254237295121.4745762712
107265318321098.0625-55780.0625
10885574106634.636363636-21060.6363636364
109310839321098.0625-10259.0625
110225060227016.525423729-1956.5254237288
111232317227016.5254237295300.4745762712
112144966142807.6363636362158.36363636365
1134328760147-16860
114155754153513.3157894742240.68421052632
115164709173457.133333333-8748.13333333333
116201940227016.525423729-25076.5254237288
117235454227016.5254237298437.4745762712
118220801153513.31578947467287.6842105263
1199946686007.413458.6
12092661106634.636363636-13973.6363636364
121133328142807.636363636-9479.63636363635
1226136186007.4-24646.4
123125930153513.315789474-27583.3157894737
124100750142807.636363636-42057.6363636364
125224549173457.13333333351091.8666666667
1268231686007.4-3691.39999999999
12710201086007.416002.6
128101523142807.636363636-41284.6363636364
129243511227016.52542372916494.4745762712
1302293819387.43550.6
1314156660147-18581
132152474173457.133333333-20983.1333333333
1336185739424.133333333322432.8666666667
13499923153513.315789474-53590.3157894737
135132487142807.636363636-10320.6363636364
136317394227016.52542372990377.4745762712
1372105419387.41666.6
138209641153513.31578947456127.6842105263
1392264860147-37499
1403141439424.1333333333-8010.13333333333
1414669860147-13449
142131698153513.315789474-21815.3157894737
1439173586007.45727.60000000001
144244749227016.52542372917732.4745762712
145184510142807.63636363641702.3636363636
14679863106634.636363636-26771.6363636364
14712842386007.442415.6
14897839124193.777777778-26354.7777777778
1493821439424.1333333333-1210.13333333333
150151101142807.6363636368293.36363636365
151272458227016.52542372945441.4745762712
152172494124193.77777777848300.2222222222
153108043106634.6363636361408.36363636363
154328107321098.06257008.9375
155250579227016.52542372923562.4745762712
156351067321098.062529968.9375
157158015124193.77777777833821.2222222222
1589886686007.412858.6
1598543986007.4-568.399999999994
160229242227016.5254237292225.4745762712
161351619321098.062530520.9375
1628420786007.4-1800.39999999999
163120445142807.636363636-22362.6363636364
164324598321098.06253499.9375
165131069142807.636363636-11738.6363636364
166204271173457.13333333330813.8666666667
167165543227016.525423729-61473.5254237288
168141722142807.636363636-1085.63636363635
169116048124193.777777778-8145.77777777778
170250047153513.31578947496533.6842105263
171299775321098.0625-21323.0625
172195838227016.525423729-31178.5254237288
173173260153513.31578947419746.6842105263
174254488227016.52542372927471.4745762712
175104389142807.636363636-38418.6363636364
176136084106634.63636363629449.3636363636
177199476227016.525423729-27540.5254237288
1789249986007.46491.60000000001
179224330227016.525423729-2686.5254237288
180135781106634.63636363629146.3636363636
18174408106634.636363636-32226.6363636364
18281240106634.636363636-25394.6363636364
1831468819387.4-4699.4
184181633227016.525423729-45383.5254237288
185271856227016.52542372944839.4745762712
186719919387.4-12188.4
1874666039424.13333333337235.86666666667
1881754719387.4-1840.4
189133368153513.315789474-20145.3157894737
1909522786007.49219.60000000001
191152601142807.6363636369793.36363636365
1929814686007.412138.6
19379619106634.636363636-27015.6363636364
19459194106634.636363636-47440.6363636364
195139942142807.636363636-2865.63636363635
196118612142807.636363636-24195.6363636364
1977288086007.4-13127.4
19865475601475328
19999643142807.636363636-43164.6363636364
200719656014711818
201772726014717125
2024928939424.13333333339864.86666666667
203135131106634.63636363628496.3636363636
204108446106634.6363636361811.36363636363
20589746106634.636363636-16888.6363636364
2064429639424.13333333334871.86666666667
2077764886007.4-8359.39999999999
208181528142807.63636363638720.3636363636
209134019106634.63636363627384.3636363636
21012406486007.438056.6
2119263086007.46622.60000000001
212121848106634.63636363615213.3636363636
2135291560147-7232
214818726014721725
2155898186007.4-27026.4
2165351560147-6632
2176081286007.4-25195.4
2185637560147-3772
21965490601475343
220809496014720802
2217630286007.4-9705.39999999999
222104011106634.636363636-2623.63636363637
22398104153513.315789474-55409.3157894737
22467989601477842
2253098919387.411601.6
226135458153513.315789474-18055.3157894737
227735046014713357
22863123124193.777777778-61070.7777777778
2296125486007.4-24753.4
23074914106634.636363636-31720.6363636364
2313177460147-28373
2328143786007.4-4570.39999999999
23387186106634.636363636-19448.6363636364
2345009060147-10057
2356574586007.4-20262.4
2365665360147-3494
237158399106634.63636363651764.3636363636
2384645560147-13692
2397362486007.4-12383.4
2403839560147-21752
2419189986007.45891.60000000001
242139526153513.315789474-13987.3157894737
2435216460147-7983
2445156760147-8580
2457055186007.4-15456.4
2468485686007.4-1151.39999999999
247102538153513.315789474-50975.3157894737
248866786014726531
2498570986007.4-298.399999999994
2503466239424.1333333333-4762.13333333333
251150580106634.63636363643945.3636363636
2529961186007.413603.6
2531934919387.4-38.4000000000015
2549937386007.413365.6
2558623086007.4222.600000000006
2563083739424.1333333333-8587.13333333333
2573170639424.1333333333-7718.13333333333
2588980686007.43798.60000000001
25962088601471941
2604015139424.1333333333726.866666666669
2612763439424.1333333333-11790.1333333333
2627699086007.4-9017.39999999999
2633746039424.1333333333-1964.13333333333
2645415760147-5990
2654986260147-10285
2668433786007.4-1670.39999999999
2676417586007.4-21832.4
2685938260147-765
2691193086014759161
2707670286007.4-9305.39999999999
271103425106634.636363636-3209.63636363637
272703446014710197
2734341060147-16737
27410483886007.418830.6
27562215601472068
2766930486007.4-16703.4
2775311760147-7030
2781976419387.4376.599999999999
2798668086007.4672.600000000006
280841056014723958
2817794586007.4-8062.39999999999
2828911386007.43105.60000000001
2839100586007.44997.60000000001
2844024839424.1333333333823.866666666669
28564187601474040
2865085786007.4-35150.4
2875661386007.4-29394.4
28862792601472645
2897253586007.4-13472.4

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 210907 & 173457.133333333 & 37449.8666666667 \tabularnewline
2 & 120982 & 124193.777777778 & -3211.77777777778 \tabularnewline
3 & 176508 & 173457.133333333 & 3050.86666666667 \tabularnewline
4 & 179321 & 227016.525423729 & -47695.5254237288 \tabularnewline
5 & 123185 & 124193.777777778 & -1008.77777777778 \tabularnewline
6 & 52746 & 39424.1333333333 & 13321.8666666667 \tabularnewline
7 & 385534 & 321098.0625 & 64435.9375 \tabularnewline
8 & 33170 & 19387.4 & 13782.6 \tabularnewline
9 & 101645 & 86007.4 & 15637.6 \tabularnewline
10 & 149061 & 142807.636363636 & 6253.36363636365 \tabularnewline
11 & 165446 & 142807.636363636 & 22638.3636363636 \tabularnewline
12 & 237213 & 227016.525423729 & 10196.4745762712 \tabularnewline
13 & 173326 & 142807.636363636 & 30518.3636363636 \tabularnewline
14 & 133131 & 142807.636363636 & -9676.63636363635 \tabularnewline
15 & 258873 & 227016.525423729 & 31856.4745762712 \tabularnewline
16 & 180083 & 142807.636363636 & 37275.3636363636 \tabularnewline
17 & 324799 & 321098.0625 & 3700.9375 \tabularnewline
18 & 230964 & 227016.525423729 & 3947.4745762712 \tabularnewline
19 & 236785 & 227016.525423729 & 9768.4745762712 \tabularnewline
20 & 135473 & 124193.777777778 & 11279.2222222222 \tabularnewline
21 & 202925 & 227016.525423729 & -24091.5254237288 \tabularnewline
22 & 215147 & 227016.525423729 & -11869.5254237288 \tabularnewline
23 & 344297 & 227016.525423729 & 117280.474576271 \tabularnewline
24 & 153935 & 142807.636363636 & 11127.3636363636 \tabularnewline
25 & 132943 & 173457.133333333 & -40514.1333333333 \tabularnewline
26 & 174724 & 227016.525423729 & -52292.5254237288 \tabularnewline
27 & 174415 & 227016.525423729 & -52601.5254237288 \tabularnewline
28 & 225548 & 227016.525423729 & -1468.5254237288 \tabularnewline
29 & 223632 & 227016.525423729 & -3384.5254237288 \tabularnewline
30 & 124817 & 142807.636363636 & -17990.6363636364 \tabularnewline
31 & 221698 & 227016.525423729 & -5318.5254237288 \tabularnewline
32 & 210767 & 227016.525423729 & -16249.5254237288 \tabularnewline
33 & 170266 & 173457.133333333 & -3191.13333333333 \tabularnewline
34 & 260561 & 227016.525423729 & 33544.4745762712 \tabularnewline
35 & 84853 & 86007.4 & -1154.39999999999 \tabularnewline
36 & 294424 & 227016.525423729 & 67407.4745762712 \tabularnewline
37 & 101011 & 86007.4 & 15003.6 \tabularnewline
38 & 215641 & 227016.525423729 & -11375.5254237288 \tabularnewline
39 & 325107 & 227016.525423729 & 98090.4745762712 \tabularnewline
40 & 7176 & 19387.4 & -12211.4 \tabularnewline
41 & 167542 & 142807.636363636 & 24734.3636363636 \tabularnewline
42 & 106408 & 86007.4 & 20400.6 \tabularnewline
43 & 96560 & 153513.315789474 & -56953.3157894737 \tabularnewline
44 & 265769 & 227016.525423729 & 38752.4745762712 \tabularnewline
45 & 269651 & 321098.0625 & -51447.0625 \tabularnewline
46 & 149112 & 142807.636363636 & 6304.36363636365 \tabularnewline
47 & 175824 & 153513.315789474 & 22310.6842105263 \tabularnewline
48 & 152871 & 142807.636363636 & 10063.3636363636 \tabularnewline
49 & 111665 & 86007.4 & 25657.6 \tabularnewline
50 & 116408 & 153513.315789474 & -37105.3157894737 \tabularnewline
51 & 362301 & 321098.0625 & 41202.9375 \tabularnewline
52 & 78800 & 86007.4 & -7207.39999999999 \tabularnewline
53 & 183167 & 227016.525423729 & -43849.5254237288 \tabularnewline
54 & 277965 & 321098.0625 & -43133.0625 \tabularnewline
55 & 150629 & 227016.525423729 & -76387.5254237288 \tabularnewline
56 & 168809 & 173457.133333333 & -4648.13333333333 \tabularnewline
57 & 24188 & 39424.1333333333 & -15236.1333333333 \tabularnewline
58 & 329267 & 227016.525423729 & 102250.474576271 \tabularnewline
59 & 65029 & 60147 & 4882 \tabularnewline
60 & 101097 & 86007.4 & 15089.6 \tabularnewline
61 & 218946 & 227016.525423729 & -8070.5254237288 \tabularnewline
62 & 244052 & 227016.525423729 & 17035.4745762712 \tabularnewline
63 & 341570 & 321098.0625 & 20471.9375 \tabularnewline
64 & 103597 & 86007.4 & 17589.6 \tabularnewline
65 & 233328 & 227016.525423729 & 6311.4745762712 \tabularnewline
66 & 256462 & 227016.525423729 & 29445.4745762712 \tabularnewline
67 & 206161 & 227016.525423729 & -20855.5254237288 \tabularnewline
68 & 311473 & 321098.0625 & -9625.0625 \tabularnewline
69 & 235800 & 153513.315789474 & 82286.6842105263 \tabularnewline
70 & 177939 & 227016.525423729 & -49077.5254237288 \tabularnewline
71 & 207176 & 227016.525423729 & -19840.5254237288 \tabularnewline
72 & 196553 & 173457.133333333 & 23095.8666666667 \tabularnewline
73 & 174184 & 142807.636363636 & 31376.3636363636 \tabularnewline
74 & 143246 & 173457.133333333 & -30211.1333333333 \tabularnewline
75 & 187559 & 227016.525423729 & -39457.5254237288 \tabularnewline
76 & 187681 & 227016.525423729 & -39335.5254237288 \tabularnewline
77 & 119016 & 142807.636363636 & -23791.6363636364 \tabularnewline
78 & 182192 & 227016.525423729 & -44824.5254237288 \tabularnewline
79 & 73566 & 86007.4 & -12441.4 \tabularnewline
80 & 194979 & 227016.525423729 & -32037.5254237288 \tabularnewline
81 & 167488 & 173457.133333333 & -5969.13333333333 \tabularnewline
82 & 143756 & 173457.133333333 & -29701.1333333333 \tabularnewline
83 & 275541 & 227016.525423729 & 48524.4745762712 \tabularnewline
84 & 243199 & 227016.525423729 & 16182.4745762712 \tabularnewline
85 & 182999 & 142807.636363636 & 40191.3636363636 \tabularnewline
86 & 135649 & 142807.636363636 & -7158.63636363635 \tabularnewline
87 & 152299 & 142807.636363636 & 9491.36363636365 \tabularnewline
88 & 120221 & 142807.636363636 & -22586.6363636364 \tabularnewline
89 & 346485 & 321098.0625 & 25386.9375 \tabularnewline
90 & 145790 & 106634.636363636 & 39155.3636363636 \tabularnewline
91 & 193339 & 153513.315789474 & 39825.6842105263 \tabularnewline
92 & 80953 & 86007.4 & -5054.39999999999 \tabularnewline
93 & 122774 & 153513.315789474 & -30739.3157894737 \tabularnewline
94 & 130585 & 124193.777777778 & 6391.22222222222 \tabularnewline
95 & 112611 & 86007.4 & 26603.6 \tabularnewline
96 & 286468 & 321098.0625 & -34630.0625 \tabularnewline
97 & 241066 & 227016.525423729 & 14049.4745762712 \tabularnewline
98 & 148446 & 227016.525423729 & -78570.5254237288 \tabularnewline
99 & 204713 & 227016.525423729 & -22303.5254237288 \tabularnewline
100 & 182079 & 227016.525423729 & -44937.5254237288 \tabularnewline
101 & 140344 & 142807.636363636 & -2463.63636363635 \tabularnewline
102 & 220516 & 227016.525423729 & -6500.5254237288 \tabularnewline
103 & 243060 & 227016.525423729 & 16043.4745762712 \tabularnewline
104 & 162765 & 173457.133333333 & -10692.1333333333 \tabularnewline
105 & 182613 & 173457.133333333 & 9155.86666666667 \tabularnewline
106 & 232138 & 227016.525423729 & 5121.4745762712 \tabularnewline
107 & 265318 & 321098.0625 & -55780.0625 \tabularnewline
108 & 85574 & 106634.636363636 & -21060.6363636364 \tabularnewline
109 & 310839 & 321098.0625 & -10259.0625 \tabularnewline
110 & 225060 & 227016.525423729 & -1956.5254237288 \tabularnewline
111 & 232317 & 227016.525423729 & 5300.4745762712 \tabularnewline
112 & 144966 & 142807.636363636 & 2158.36363636365 \tabularnewline
113 & 43287 & 60147 & -16860 \tabularnewline
114 & 155754 & 153513.315789474 & 2240.68421052632 \tabularnewline
115 & 164709 & 173457.133333333 & -8748.13333333333 \tabularnewline
116 & 201940 & 227016.525423729 & -25076.5254237288 \tabularnewline
117 & 235454 & 227016.525423729 & 8437.4745762712 \tabularnewline
118 & 220801 & 153513.315789474 & 67287.6842105263 \tabularnewline
119 & 99466 & 86007.4 & 13458.6 \tabularnewline
120 & 92661 & 106634.636363636 & -13973.6363636364 \tabularnewline
121 & 133328 & 142807.636363636 & -9479.63636363635 \tabularnewline
122 & 61361 & 86007.4 & -24646.4 \tabularnewline
123 & 125930 & 153513.315789474 & -27583.3157894737 \tabularnewline
124 & 100750 & 142807.636363636 & -42057.6363636364 \tabularnewline
125 & 224549 & 173457.133333333 & 51091.8666666667 \tabularnewline
126 & 82316 & 86007.4 & -3691.39999999999 \tabularnewline
127 & 102010 & 86007.4 & 16002.6 \tabularnewline
128 & 101523 & 142807.636363636 & -41284.6363636364 \tabularnewline
129 & 243511 & 227016.525423729 & 16494.4745762712 \tabularnewline
130 & 22938 & 19387.4 & 3550.6 \tabularnewline
131 & 41566 & 60147 & -18581 \tabularnewline
132 & 152474 & 173457.133333333 & -20983.1333333333 \tabularnewline
133 & 61857 & 39424.1333333333 & 22432.8666666667 \tabularnewline
134 & 99923 & 153513.315789474 & -53590.3157894737 \tabularnewline
135 & 132487 & 142807.636363636 & -10320.6363636364 \tabularnewline
136 & 317394 & 227016.525423729 & 90377.4745762712 \tabularnewline
137 & 21054 & 19387.4 & 1666.6 \tabularnewline
138 & 209641 & 153513.315789474 & 56127.6842105263 \tabularnewline
139 & 22648 & 60147 & -37499 \tabularnewline
140 & 31414 & 39424.1333333333 & -8010.13333333333 \tabularnewline
141 & 46698 & 60147 & -13449 \tabularnewline
142 & 131698 & 153513.315789474 & -21815.3157894737 \tabularnewline
143 & 91735 & 86007.4 & 5727.60000000001 \tabularnewline
144 & 244749 & 227016.525423729 & 17732.4745762712 \tabularnewline
145 & 184510 & 142807.636363636 & 41702.3636363636 \tabularnewline
146 & 79863 & 106634.636363636 & -26771.6363636364 \tabularnewline
147 & 128423 & 86007.4 & 42415.6 \tabularnewline
148 & 97839 & 124193.777777778 & -26354.7777777778 \tabularnewline
149 & 38214 & 39424.1333333333 & -1210.13333333333 \tabularnewline
150 & 151101 & 142807.636363636 & 8293.36363636365 \tabularnewline
151 & 272458 & 227016.525423729 & 45441.4745762712 \tabularnewline
152 & 172494 & 124193.777777778 & 48300.2222222222 \tabularnewline
153 & 108043 & 106634.636363636 & 1408.36363636363 \tabularnewline
154 & 328107 & 321098.0625 & 7008.9375 \tabularnewline
155 & 250579 & 227016.525423729 & 23562.4745762712 \tabularnewline
156 & 351067 & 321098.0625 & 29968.9375 \tabularnewline
157 & 158015 & 124193.777777778 & 33821.2222222222 \tabularnewline
158 & 98866 & 86007.4 & 12858.6 \tabularnewline
159 & 85439 & 86007.4 & -568.399999999994 \tabularnewline
160 & 229242 & 227016.525423729 & 2225.4745762712 \tabularnewline
161 & 351619 & 321098.0625 & 30520.9375 \tabularnewline
162 & 84207 & 86007.4 & -1800.39999999999 \tabularnewline
163 & 120445 & 142807.636363636 & -22362.6363636364 \tabularnewline
164 & 324598 & 321098.0625 & 3499.9375 \tabularnewline
165 & 131069 & 142807.636363636 & -11738.6363636364 \tabularnewline
166 & 204271 & 173457.133333333 & 30813.8666666667 \tabularnewline
167 & 165543 & 227016.525423729 & -61473.5254237288 \tabularnewline
168 & 141722 & 142807.636363636 & -1085.63636363635 \tabularnewline
169 & 116048 & 124193.777777778 & -8145.77777777778 \tabularnewline
170 & 250047 & 153513.315789474 & 96533.6842105263 \tabularnewline
171 & 299775 & 321098.0625 & -21323.0625 \tabularnewline
172 & 195838 & 227016.525423729 & -31178.5254237288 \tabularnewline
173 & 173260 & 153513.315789474 & 19746.6842105263 \tabularnewline
174 & 254488 & 227016.525423729 & 27471.4745762712 \tabularnewline
175 & 104389 & 142807.636363636 & -38418.6363636364 \tabularnewline
176 & 136084 & 106634.636363636 & 29449.3636363636 \tabularnewline
177 & 199476 & 227016.525423729 & -27540.5254237288 \tabularnewline
178 & 92499 & 86007.4 & 6491.60000000001 \tabularnewline
179 & 224330 & 227016.525423729 & -2686.5254237288 \tabularnewline
180 & 135781 & 106634.636363636 & 29146.3636363636 \tabularnewline
181 & 74408 & 106634.636363636 & -32226.6363636364 \tabularnewline
182 & 81240 & 106634.636363636 & -25394.6363636364 \tabularnewline
183 & 14688 & 19387.4 & -4699.4 \tabularnewline
184 & 181633 & 227016.525423729 & -45383.5254237288 \tabularnewline
185 & 271856 & 227016.525423729 & 44839.4745762712 \tabularnewline
186 & 7199 & 19387.4 & -12188.4 \tabularnewline
187 & 46660 & 39424.1333333333 & 7235.86666666667 \tabularnewline
188 & 17547 & 19387.4 & -1840.4 \tabularnewline
189 & 133368 & 153513.315789474 & -20145.3157894737 \tabularnewline
190 & 95227 & 86007.4 & 9219.60000000001 \tabularnewline
191 & 152601 & 142807.636363636 & 9793.36363636365 \tabularnewline
192 & 98146 & 86007.4 & 12138.6 \tabularnewline
193 & 79619 & 106634.636363636 & -27015.6363636364 \tabularnewline
194 & 59194 & 106634.636363636 & -47440.6363636364 \tabularnewline
195 & 139942 & 142807.636363636 & -2865.63636363635 \tabularnewline
196 & 118612 & 142807.636363636 & -24195.6363636364 \tabularnewline
197 & 72880 & 86007.4 & -13127.4 \tabularnewline
198 & 65475 & 60147 & 5328 \tabularnewline
199 & 99643 & 142807.636363636 & -43164.6363636364 \tabularnewline
200 & 71965 & 60147 & 11818 \tabularnewline
201 & 77272 & 60147 & 17125 \tabularnewline
202 & 49289 & 39424.1333333333 & 9864.86666666667 \tabularnewline
203 & 135131 & 106634.636363636 & 28496.3636363636 \tabularnewline
204 & 108446 & 106634.636363636 & 1811.36363636363 \tabularnewline
205 & 89746 & 106634.636363636 & -16888.6363636364 \tabularnewline
206 & 44296 & 39424.1333333333 & 4871.86666666667 \tabularnewline
207 & 77648 & 86007.4 & -8359.39999999999 \tabularnewline
208 & 181528 & 142807.636363636 & 38720.3636363636 \tabularnewline
209 & 134019 & 106634.636363636 & 27384.3636363636 \tabularnewline
210 & 124064 & 86007.4 & 38056.6 \tabularnewline
211 & 92630 & 86007.4 & 6622.60000000001 \tabularnewline
212 & 121848 & 106634.636363636 & 15213.3636363636 \tabularnewline
213 & 52915 & 60147 & -7232 \tabularnewline
214 & 81872 & 60147 & 21725 \tabularnewline
215 & 58981 & 86007.4 & -27026.4 \tabularnewline
216 & 53515 & 60147 & -6632 \tabularnewline
217 & 60812 & 86007.4 & -25195.4 \tabularnewline
218 & 56375 & 60147 & -3772 \tabularnewline
219 & 65490 & 60147 & 5343 \tabularnewline
220 & 80949 & 60147 & 20802 \tabularnewline
221 & 76302 & 86007.4 & -9705.39999999999 \tabularnewline
222 & 104011 & 106634.636363636 & -2623.63636363637 \tabularnewline
223 & 98104 & 153513.315789474 & -55409.3157894737 \tabularnewline
224 & 67989 & 60147 & 7842 \tabularnewline
225 & 30989 & 19387.4 & 11601.6 \tabularnewline
226 & 135458 & 153513.315789474 & -18055.3157894737 \tabularnewline
227 & 73504 & 60147 & 13357 \tabularnewline
228 & 63123 & 124193.777777778 & -61070.7777777778 \tabularnewline
229 & 61254 & 86007.4 & -24753.4 \tabularnewline
230 & 74914 & 106634.636363636 & -31720.6363636364 \tabularnewline
231 & 31774 & 60147 & -28373 \tabularnewline
232 & 81437 & 86007.4 & -4570.39999999999 \tabularnewline
233 & 87186 & 106634.636363636 & -19448.6363636364 \tabularnewline
234 & 50090 & 60147 & -10057 \tabularnewline
235 & 65745 & 86007.4 & -20262.4 \tabularnewline
236 & 56653 & 60147 & -3494 \tabularnewline
237 & 158399 & 106634.636363636 & 51764.3636363636 \tabularnewline
238 & 46455 & 60147 & -13692 \tabularnewline
239 & 73624 & 86007.4 & -12383.4 \tabularnewline
240 & 38395 & 60147 & -21752 \tabularnewline
241 & 91899 & 86007.4 & 5891.60000000001 \tabularnewline
242 & 139526 & 153513.315789474 & -13987.3157894737 \tabularnewline
243 & 52164 & 60147 & -7983 \tabularnewline
244 & 51567 & 60147 & -8580 \tabularnewline
245 & 70551 & 86007.4 & -15456.4 \tabularnewline
246 & 84856 & 86007.4 & -1151.39999999999 \tabularnewline
247 & 102538 & 153513.315789474 & -50975.3157894737 \tabularnewline
248 & 86678 & 60147 & 26531 \tabularnewline
249 & 85709 & 86007.4 & -298.399999999994 \tabularnewline
250 & 34662 & 39424.1333333333 & -4762.13333333333 \tabularnewline
251 & 150580 & 106634.636363636 & 43945.3636363636 \tabularnewline
252 & 99611 & 86007.4 & 13603.6 \tabularnewline
253 & 19349 & 19387.4 & -38.4000000000015 \tabularnewline
254 & 99373 & 86007.4 & 13365.6 \tabularnewline
255 & 86230 & 86007.4 & 222.600000000006 \tabularnewline
256 & 30837 & 39424.1333333333 & -8587.13333333333 \tabularnewline
257 & 31706 & 39424.1333333333 & -7718.13333333333 \tabularnewline
258 & 89806 & 86007.4 & 3798.60000000001 \tabularnewline
259 & 62088 & 60147 & 1941 \tabularnewline
260 & 40151 & 39424.1333333333 & 726.866666666669 \tabularnewline
261 & 27634 & 39424.1333333333 & -11790.1333333333 \tabularnewline
262 & 76990 & 86007.4 & -9017.39999999999 \tabularnewline
263 & 37460 & 39424.1333333333 & -1964.13333333333 \tabularnewline
264 & 54157 & 60147 & -5990 \tabularnewline
265 & 49862 & 60147 & -10285 \tabularnewline
266 & 84337 & 86007.4 & -1670.39999999999 \tabularnewline
267 & 64175 & 86007.4 & -21832.4 \tabularnewline
268 & 59382 & 60147 & -765 \tabularnewline
269 & 119308 & 60147 & 59161 \tabularnewline
270 & 76702 & 86007.4 & -9305.39999999999 \tabularnewline
271 & 103425 & 106634.636363636 & -3209.63636363637 \tabularnewline
272 & 70344 & 60147 & 10197 \tabularnewline
273 & 43410 & 60147 & -16737 \tabularnewline
274 & 104838 & 86007.4 & 18830.6 \tabularnewline
275 & 62215 & 60147 & 2068 \tabularnewline
276 & 69304 & 86007.4 & -16703.4 \tabularnewline
277 & 53117 & 60147 & -7030 \tabularnewline
278 & 19764 & 19387.4 & 376.599999999999 \tabularnewline
279 & 86680 & 86007.4 & 672.600000000006 \tabularnewline
280 & 84105 & 60147 & 23958 \tabularnewline
281 & 77945 & 86007.4 & -8062.39999999999 \tabularnewline
282 & 89113 & 86007.4 & 3105.60000000001 \tabularnewline
283 & 91005 & 86007.4 & 4997.60000000001 \tabularnewline
284 & 40248 & 39424.1333333333 & 823.866666666669 \tabularnewline
285 & 64187 & 60147 & 4040 \tabularnewline
286 & 50857 & 86007.4 & -35150.4 \tabularnewline
287 & 56613 & 86007.4 & -29394.4 \tabularnewline
288 & 62792 & 60147 & 2645 \tabularnewline
289 & 72535 & 86007.4 & -13472.4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160592&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]173457.133333333[/C][C]37449.8666666667[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]124193.777777778[/C][C]-3211.77777777778[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]173457.133333333[/C][C]3050.86666666667[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]227016.525423729[/C][C]-47695.5254237288[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]124193.777777778[/C][C]-1008.77777777778[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]39424.1333333333[/C][C]13321.8666666667[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]321098.0625[/C][C]64435.9375[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]19387.4[/C][C]13782.6[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]86007.4[/C][C]15637.6[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]142807.636363636[/C][C]6253.36363636365[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]142807.636363636[/C][C]22638.3636363636[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]227016.525423729[/C][C]10196.4745762712[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]142807.636363636[/C][C]30518.3636363636[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]142807.636363636[/C][C]-9676.63636363635[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]227016.525423729[/C][C]31856.4745762712[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]142807.636363636[/C][C]37275.3636363636[/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]227016.525423729[/C][C]3947.4745762712[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]227016.525423729[/C][C]9768.4745762712[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]124193.777777778[/C][C]11279.2222222222[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]227016.525423729[/C][C]-24091.5254237288[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]227016.525423729[/C][C]-11869.5254237288[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]227016.525423729[/C][C]117280.474576271[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]142807.636363636[/C][C]11127.3636363636[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]173457.133333333[/C][C]-40514.1333333333[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]227016.525423729[/C][C]-52292.5254237288[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]227016.525423729[/C][C]-52601.5254237288[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]227016.525423729[/C][C]-1468.5254237288[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]227016.525423729[/C][C]-3384.5254237288[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]142807.636363636[/C][C]-17990.6363636364[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]227016.525423729[/C][C]-5318.5254237288[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]227016.525423729[/C][C]-16249.5254237288[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]173457.133333333[/C][C]-3191.13333333333[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]227016.525423729[/C][C]33544.4745762712[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]86007.4[/C][C]-1154.39999999999[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]227016.525423729[/C][C]67407.4745762712[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]86007.4[/C][C]15003.6[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]227016.525423729[/C][C]-11375.5254237288[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]227016.525423729[/C][C]98090.4745762712[/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]142807.636363636[/C][C]24734.3636363636[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]86007.4[/C][C]20400.6[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]153513.315789474[/C][C]-56953.3157894737[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]227016.525423729[/C][C]38752.4745762712[/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]142807.636363636[/C][C]6304.36363636365[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]153513.315789474[/C][C]22310.6842105263[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]142807.636363636[/C][C]10063.3636363636[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]86007.4[/C][C]25657.6[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]153513.315789474[/C][C]-37105.3157894737[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]321098.0625[/C][C]41202.9375[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]86007.4[/C][C]-7207.39999999999[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]227016.525423729[/C][C]-43849.5254237288[/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]227016.525423729[/C][C]-76387.5254237288[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]173457.133333333[/C][C]-4648.13333333333[/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]227016.525423729[/C][C]102250.474576271[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]60147[/C][C]4882[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]86007.4[/C][C]15089.6[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]227016.525423729[/C][C]-8070.5254237288[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]227016.525423729[/C][C]17035.4745762712[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]321098.0625[/C][C]20471.9375[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]86007.4[/C][C]17589.6[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]227016.525423729[/C][C]6311.4745762712[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]227016.525423729[/C][C]29445.4745762712[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]227016.525423729[/C][C]-20855.5254237288[/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]153513.315789474[/C][C]82286.6842105263[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]227016.525423729[/C][C]-49077.5254237288[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]227016.525423729[/C][C]-19840.5254237288[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]173457.133333333[/C][C]23095.8666666667[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]142807.636363636[/C][C]31376.3636363636[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]173457.133333333[/C][C]-30211.1333333333[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]227016.525423729[/C][C]-39457.5254237288[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]227016.525423729[/C][C]-39335.5254237288[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]142807.636363636[/C][C]-23791.6363636364[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]227016.525423729[/C][C]-44824.5254237288[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]86007.4[/C][C]-12441.4[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]227016.525423729[/C][C]-32037.5254237288[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]173457.133333333[/C][C]-5969.13333333333[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]173457.133333333[/C][C]-29701.1333333333[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]227016.525423729[/C][C]48524.4745762712[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]227016.525423729[/C][C]16182.4745762712[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]142807.636363636[/C][C]40191.3636363636[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]142807.636363636[/C][C]-7158.63636363635[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]142807.636363636[/C][C]9491.36363636365[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]142807.636363636[/C][C]-22586.6363636364[/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]106634.636363636[/C][C]39155.3636363636[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]153513.315789474[/C][C]39825.6842105263[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]86007.4[/C][C]-5054.39999999999[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]153513.315789474[/C][C]-30739.3157894737[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]124193.777777778[/C][C]6391.22222222222[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]86007.4[/C][C]26603.6[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]321098.0625[/C][C]-34630.0625[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]227016.525423729[/C][C]14049.4745762712[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]227016.525423729[/C][C]-78570.5254237288[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]227016.525423729[/C][C]-22303.5254237288[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]227016.525423729[/C][C]-44937.5254237288[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]142807.636363636[/C][C]-2463.63636363635[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]227016.525423729[/C][C]-6500.5254237288[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]227016.525423729[/C][C]16043.4745762712[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]173457.133333333[/C][C]-10692.1333333333[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]173457.133333333[/C][C]9155.86666666667[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]227016.525423729[/C][C]5121.4745762712[/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]106634.636363636[/C][C]-21060.6363636364[/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]227016.525423729[/C][C]-1956.5254237288[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]227016.525423729[/C][C]5300.4745762712[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]142807.636363636[/C][C]2158.36363636365[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]60147[/C][C]-16860[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]153513.315789474[/C][C]2240.68421052632[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]173457.133333333[/C][C]-8748.13333333333[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]227016.525423729[/C][C]-25076.5254237288[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]227016.525423729[/C][C]8437.4745762712[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]153513.315789474[/C][C]67287.6842105263[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]86007.4[/C][C]13458.6[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]106634.636363636[/C][C]-13973.6363636364[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]142807.636363636[/C][C]-9479.63636363635[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]86007.4[/C][C]-24646.4[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]153513.315789474[/C][C]-27583.3157894737[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]142807.636363636[/C][C]-42057.6363636364[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]173457.133333333[/C][C]51091.8666666667[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]86007.4[/C][C]-3691.39999999999[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]86007.4[/C][C]16002.6[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]142807.636363636[/C][C]-41284.6363636364[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]227016.525423729[/C][C]16494.4745762712[/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]173457.133333333[/C][C]-20983.1333333333[/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]153513.315789474[/C][C]-53590.3157894737[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]142807.636363636[/C][C]-10320.6363636364[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]227016.525423729[/C][C]90377.4745762712[/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]153513.315789474[/C][C]56127.6842105263[/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]153513.315789474[/C][C]-21815.3157894737[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]86007.4[/C][C]5727.60000000001[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]227016.525423729[/C][C]17732.4745762712[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]142807.636363636[/C][C]41702.3636363636[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]106634.636363636[/C][C]-26771.6363636364[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]86007.4[/C][C]42415.6[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]124193.777777778[/C][C]-26354.7777777778[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]39424.1333333333[/C][C]-1210.13333333333[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]142807.636363636[/C][C]8293.36363636365[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]227016.525423729[/C][C]45441.4745762712[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]124193.777777778[/C][C]48300.2222222222[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]106634.636363636[/C][C]1408.36363636363[/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]227016.525423729[/C][C]23562.4745762712[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]321098.0625[/C][C]29968.9375[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]124193.777777778[/C][C]33821.2222222222[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]86007.4[/C][C]12858.6[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]86007.4[/C][C]-568.399999999994[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]227016.525423729[/C][C]2225.4745762712[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]321098.0625[/C][C]30520.9375[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]86007.4[/C][C]-1800.39999999999[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]142807.636363636[/C][C]-22362.6363636364[/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]142807.636363636[/C][C]-11738.6363636364[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]173457.133333333[/C][C]30813.8666666667[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]227016.525423729[/C][C]-61473.5254237288[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]142807.636363636[/C][C]-1085.63636363635[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]124193.777777778[/C][C]-8145.77777777778[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]153513.315789474[/C][C]96533.6842105263[/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]227016.525423729[/C][C]-31178.5254237288[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]153513.315789474[/C][C]19746.6842105263[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]227016.525423729[/C][C]27471.4745762712[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]142807.636363636[/C][C]-38418.6363636364[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]106634.636363636[/C][C]29449.3636363636[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]227016.525423729[/C][C]-27540.5254237288[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]86007.4[/C][C]6491.60000000001[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]227016.525423729[/C][C]-2686.5254237288[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]106634.636363636[/C][C]29146.3636363636[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]106634.636363636[/C][C]-32226.6363636364[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]106634.636363636[/C][C]-25394.6363636364[/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]227016.525423729[/C][C]-45383.5254237288[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]227016.525423729[/C][C]44839.4745762712[/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]153513.315789474[/C][C]-20145.3157894737[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]86007.4[/C][C]9219.60000000001[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]142807.636363636[/C][C]9793.36363636365[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]86007.4[/C][C]12138.6[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]106634.636363636[/C][C]-27015.6363636364[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]106634.636363636[/C][C]-47440.6363636364[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]142807.636363636[/C][C]-2865.63636363635[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]142807.636363636[/C][C]-24195.6363636364[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]86007.4[/C][C]-13127.4[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]60147[/C][C]5328[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]142807.636363636[/C][C]-43164.6363636364[/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]106634.636363636[/C][C]28496.3636363636[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]106634.636363636[/C][C]1811.36363636363[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]106634.636363636[/C][C]-16888.6363636364[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]39424.1333333333[/C][C]4871.86666666667[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]86007.4[/C][C]-8359.39999999999[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]142807.636363636[/C][C]38720.3636363636[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]106634.636363636[/C][C]27384.3636363636[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]86007.4[/C][C]38056.6[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]86007.4[/C][C]6622.60000000001[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]106634.636363636[/C][C]15213.3636363636[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]60147[/C][C]-7232[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]60147[/C][C]21725[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]86007.4[/C][C]-27026.4[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]60147[/C][C]-6632[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]86007.4[/C][C]-25195.4[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]60147[/C][C]-3772[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]60147[/C][C]5343[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]60147[/C][C]20802[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]86007.4[/C][C]-9705.39999999999[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]106634.636363636[/C][C]-2623.63636363637[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]153513.315789474[/C][C]-55409.3157894737[/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]153513.315789474[/C][C]-18055.3157894737[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]60147[/C][C]13357[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]124193.777777778[/C][C]-61070.7777777778[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]86007.4[/C][C]-24753.4[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]106634.636363636[/C][C]-31720.6363636364[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]60147[/C][C]-28373[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]86007.4[/C][C]-4570.39999999999[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]106634.636363636[/C][C]-19448.6363636364[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]60147[/C][C]-10057[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]86007.4[/C][C]-20262.4[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]60147[/C][C]-3494[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]106634.636363636[/C][C]51764.3636363636[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]60147[/C][C]-13692[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]86007.4[/C][C]-12383.4[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]60147[/C][C]-21752[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]86007.4[/C][C]5891.60000000001[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]153513.315789474[/C][C]-13987.3157894737[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]60147[/C][C]-7983[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]60147[/C][C]-8580[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]86007.4[/C][C]-15456.4[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]86007.4[/C][C]-1151.39999999999[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]153513.315789474[/C][C]-50975.3157894737[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]60147[/C][C]26531[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]86007.4[/C][C]-298.399999999994[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]39424.1333333333[/C][C]-4762.13333333333[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]106634.636363636[/C][C]43945.3636363636[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]86007.4[/C][C]13603.6[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]19387.4[/C][C]-38.4000000000015[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]86007.4[/C][C]13365.6[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]86007.4[/C][C]222.600000000006[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]39424.1333333333[/C][C]-8587.13333333333[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]39424.1333333333[/C][C]-7718.13333333333[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]86007.4[/C][C]3798.60000000001[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]60147[/C][C]1941[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]39424.1333333333[/C][C]726.866666666669[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]39424.1333333333[/C][C]-11790.1333333333[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]86007.4[/C][C]-9017.39999999999[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]39424.1333333333[/C][C]-1964.13333333333[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]60147[/C][C]-5990[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]60147[/C][C]-10285[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]86007.4[/C][C]-1670.39999999999[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]86007.4[/C][C]-21832.4[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]60147[/C][C]-765[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]60147[/C][C]59161[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]86007.4[/C][C]-9305.39999999999[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]106634.636363636[/C][C]-3209.63636363637[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]60147[/C][C]10197[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]60147[/C][C]-16737[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]86007.4[/C][C]18830.6[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]60147[/C][C]2068[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]86007.4[/C][C]-16703.4[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]60147[/C][C]-7030[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]19387.4[/C][C]376.599999999999[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]86007.4[/C][C]672.600000000006[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]60147[/C][C]23958[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]86007.4[/C][C]-8062.39999999999[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]86007.4[/C][C]3105.60000000001[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]86007.4[/C][C]4997.60000000001[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]39424.1333333333[/C][C]823.866666666669[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]60147[/C][C]4040[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]86007.4[/C][C]-35150.4[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]86007.4[/C][C]-29394.4[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]60147[/C][C]2645[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]86007.4[/C][C]-13472.4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160592&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160592&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
1210907173457.13333333337449.8666666667
2120982124193.777777778-3211.77777777778
3176508173457.1333333333050.86666666667
4179321227016.525423729-47695.5254237288
5123185124193.777777778-1008.77777777778
65274639424.133333333313321.8666666667
7385534321098.062564435.9375
83317019387.413782.6
910164586007.415637.6
10149061142807.6363636366253.36363636365
11165446142807.63636363622638.3636363636
12237213227016.52542372910196.4745762712
13173326142807.63636363630518.3636363636
14133131142807.636363636-9676.63636363635
15258873227016.52542372931856.4745762712
16180083142807.63636363637275.3636363636
17324799321098.06253700.9375
18230964227016.5254237293947.4745762712
19236785227016.5254237299768.4745762712
20135473124193.77777777811279.2222222222
21202925227016.525423729-24091.5254237288
22215147227016.525423729-11869.5254237288
23344297227016.525423729117280.474576271
24153935142807.63636363611127.3636363636
25132943173457.133333333-40514.1333333333
26174724227016.525423729-52292.5254237288
27174415227016.525423729-52601.5254237288
28225548227016.525423729-1468.5254237288
29223632227016.525423729-3384.5254237288
30124817142807.636363636-17990.6363636364
31221698227016.525423729-5318.5254237288
32210767227016.525423729-16249.5254237288
33170266173457.133333333-3191.13333333333
34260561227016.52542372933544.4745762712
358485386007.4-1154.39999999999
36294424227016.52542372967407.4745762712
3710101186007.415003.6
38215641227016.525423729-11375.5254237288
39325107227016.52542372998090.4745762712
40717619387.4-12211.4
41167542142807.63636363624734.3636363636
4210640886007.420400.6
4396560153513.315789474-56953.3157894737
44265769227016.52542372938752.4745762712
45269651321098.0625-51447.0625
46149112142807.6363636366304.36363636365
47175824153513.31578947422310.6842105263
48152871142807.63636363610063.3636363636
4911166586007.425657.6
50116408153513.315789474-37105.3157894737
51362301321098.062541202.9375
527880086007.4-7207.39999999999
53183167227016.525423729-43849.5254237288
54277965321098.0625-43133.0625
55150629227016.525423729-76387.5254237288
56168809173457.133333333-4648.13333333333
572418839424.1333333333-15236.1333333333
58329267227016.525423729102250.474576271
5965029601474882
6010109786007.415089.6
61218946227016.525423729-8070.5254237288
62244052227016.52542372917035.4745762712
63341570321098.062520471.9375
6410359786007.417589.6
65233328227016.5254237296311.4745762712
66256462227016.52542372929445.4745762712
67206161227016.525423729-20855.5254237288
68311473321098.0625-9625.0625
69235800153513.31578947482286.6842105263
70177939227016.525423729-49077.5254237288
71207176227016.525423729-19840.5254237288
72196553173457.13333333323095.8666666667
73174184142807.63636363631376.3636363636
74143246173457.133333333-30211.1333333333
75187559227016.525423729-39457.5254237288
76187681227016.525423729-39335.5254237288
77119016142807.636363636-23791.6363636364
78182192227016.525423729-44824.5254237288
797356686007.4-12441.4
80194979227016.525423729-32037.5254237288
81167488173457.133333333-5969.13333333333
82143756173457.133333333-29701.1333333333
83275541227016.52542372948524.4745762712
84243199227016.52542372916182.4745762712
85182999142807.63636363640191.3636363636
86135649142807.636363636-7158.63636363635
87152299142807.6363636369491.36363636365
88120221142807.636363636-22586.6363636364
89346485321098.062525386.9375
90145790106634.63636363639155.3636363636
91193339153513.31578947439825.6842105263
928095386007.4-5054.39999999999
93122774153513.315789474-30739.3157894737
94130585124193.7777777786391.22222222222
9511261186007.426603.6
96286468321098.0625-34630.0625
97241066227016.52542372914049.4745762712
98148446227016.525423729-78570.5254237288
99204713227016.525423729-22303.5254237288
100182079227016.525423729-44937.5254237288
101140344142807.636363636-2463.63636363635
102220516227016.525423729-6500.5254237288
103243060227016.52542372916043.4745762712
104162765173457.133333333-10692.1333333333
105182613173457.1333333339155.86666666667
106232138227016.5254237295121.4745762712
107265318321098.0625-55780.0625
10885574106634.636363636-21060.6363636364
109310839321098.0625-10259.0625
110225060227016.525423729-1956.5254237288
111232317227016.5254237295300.4745762712
112144966142807.6363636362158.36363636365
1134328760147-16860
114155754153513.3157894742240.68421052632
115164709173457.133333333-8748.13333333333
116201940227016.525423729-25076.5254237288
117235454227016.5254237298437.4745762712
118220801153513.31578947467287.6842105263
1199946686007.413458.6
12092661106634.636363636-13973.6363636364
121133328142807.636363636-9479.63636363635
1226136186007.4-24646.4
123125930153513.315789474-27583.3157894737
124100750142807.636363636-42057.6363636364
125224549173457.13333333351091.8666666667
1268231686007.4-3691.39999999999
12710201086007.416002.6
128101523142807.636363636-41284.6363636364
129243511227016.52542372916494.4745762712
1302293819387.43550.6
1314156660147-18581
132152474173457.133333333-20983.1333333333
1336185739424.133333333322432.8666666667
13499923153513.315789474-53590.3157894737
135132487142807.636363636-10320.6363636364
136317394227016.52542372990377.4745762712
1372105419387.41666.6
138209641153513.31578947456127.6842105263
1392264860147-37499
1403141439424.1333333333-8010.13333333333
1414669860147-13449
142131698153513.315789474-21815.3157894737
1439173586007.45727.60000000001
144244749227016.52542372917732.4745762712
145184510142807.63636363641702.3636363636
14679863106634.636363636-26771.6363636364
14712842386007.442415.6
14897839124193.777777778-26354.7777777778
1493821439424.1333333333-1210.13333333333
150151101142807.6363636368293.36363636365
151272458227016.52542372945441.4745762712
152172494124193.77777777848300.2222222222
153108043106634.6363636361408.36363636363
154328107321098.06257008.9375
155250579227016.52542372923562.4745762712
156351067321098.062529968.9375
157158015124193.77777777833821.2222222222
1589886686007.412858.6
1598543986007.4-568.399999999994
160229242227016.5254237292225.4745762712
161351619321098.062530520.9375
1628420786007.4-1800.39999999999
163120445142807.636363636-22362.6363636364
164324598321098.06253499.9375
165131069142807.636363636-11738.6363636364
166204271173457.13333333330813.8666666667
167165543227016.525423729-61473.5254237288
168141722142807.636363636-1085.63636363635
169116048124193.777777778-8145.77777777778
170250047153513.31578947496533.6842105263
171299775321098.0625-21323.0625
172195838227016.525423729-31178.5254237288
173173260153513.31578947419746.6842105263
174254488227016.52542372927471.4745762712
175104389142807.636363636-38418.6363636364
176136084106634.63636363629449.3636363636
177199476227016.525423729-27540.5254237288
1789249986007.46491.60000000001
179224330227016.525423729-2686.5254237288
180135781106634.63636363629146.3636363636
18174408106634.636363636-32226.6363636364
18281240106634.636363636-25394.6363636364
1831468819387.4-4699.4
184181633227016.525423729-45383.5254237288
185271856227016.52542372944839.4745762712
186719919387.4-12188.4
1874666039424.13333333337235.86666666667
1881754719387.4-1840.4
189133368153513.315789474-20145.3157894737
1909522786007.49219.60000000001
191152601142807.6363636369793.36363636365
1929814686007.412138.6
19379619106634.636363636-27015.6363636364
19459194106634.636363636-47440.6363636364
195139942142807.636363636-2865.63636363635
196118612142807.636363636-24195.6363636364
1977288086007.4-13127.4
19865475601475328
19999643142807.636363636-43164.6363636364
200719656014711818
201772726014717125
2024928939424.13333333339864.86666666667
203135131106634.63636363628496.3636363636
204108446106634.6363636361811.36363636363
20589746106634.636363636-16888.6363636364
2064429639424.13333333334871.86666666667
2077764886007.4-8359.39999999999
208181528142807.63636363638720.3636363636
209134019106634.63636363627384.3636363636
21012406486007.438056.6
2119263086007.46622.60000000001
212121848106634.63636363615213.3636363636
2135291560147-7232
214818726014721725
2155898186007.4-27026.4
2165351560147-6632
2176081286007.4-25195.4
2185637560147-3772
21965490601475343
220809496014720802
2217630286007.4-9705.39999999999
222104011106634.636363636-2623.63636363637
22398104153513.315789474-55409.3157894737
22467989601477842
2253098919387.411601.6
226135458153513.315789474-18055.3157894737
227735046014713357
22863123124193.777777778-61070.7777777778
2296125486007.4-24753.4
23074914106634.636363636-31720.6363636364
2313177460147-28373
2328143786007.4-4570.39999999999
23387186106634.636363636-19448.6363636364
2345009060147-10057
2356574586007.4-20262.4
2365665360147-3494
237158399106634.63636363651764.3636363636
2384645560147-13692
2397362486007.4-12383.4
2403839560147-21752
2419189986007.45891.60000000001
242139526153513.315789474-13987.3157894737
2435216460147-7983
2445156760147-8580
2457055186007.4-15456.4
2468485686007.4-1151.39999999999
247102538153513.315789474-50975.3157894737
248866786014726531
2498570986007.4-298.399999999994
2503466239424.1333333333-4762.13333333333
251150580106634.63636363643945.3636363636
2529961186007.413603.6
2531934919387.4-38.4000000000015
2549937386007.413365.6
2558623086007.4222.600000000006
2563083739424.1333333333-8587.13333333333
2573170639424.1333333333-7718.13333333333
2588980686007.43798.60000000001
25962088601471941
2604015139424.1333333333726.866666666669
2612763439424.1333333333-11790.1333333333
2627699086007.4-9017.39999999999
2633746039424.1333333333-1964.13333333333
2645415760147-5990
2654986260147-10285
2668433786007.4-1670.39999999999
2676417586007.4-21832.4
2685938260147-765
2691193086014759161
2707670286007.4-9305.39999999999
271103425106634.636363636-3209.63636363637
272703446014710197
2734341060147-16737
27410483886007.418830.6
27562215601472068
2766930486007.4-16703.4
2775311760147-7030
2781976419387.4376.599999999999
2798668086007.4672.600000000006
280841056014723958
2817794586007.4-8062.39999999999
2828911386007.43105.60000000001
2839100586007.44997.60000000001
2844024839424.1333333333823.866666666669
28564187601474040
2865085786007.4-35150.4
2875661386007.4-29394.4
28862792601472645
2897253586007.4-13472.4


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 2 ; 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')
}