Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_regression_trees1.wasp
Title produced by softwareRecursive Partitioning (Regression Trees)
Date of computationThu, 06 Dec 2012 14:46:14 -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/2012/Dec/06/t13548232011f8s527yvpvuoxh.htm/, Retrieved Fri, 29 Mar 2024 05:22:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197238, Retrieved Fri, 29 Mar 2024 05:22:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 18:59:57] [b98453cac15ba1066b407e146608df68]
- R PD    [Recursive Partitioning (Regression Trees)] [] [2012-12-06 19:46:14] [6c45f368330652e778bc9af460dd8da6] [Current]
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Dataseries X:
1418	210907	56	112285	3	145
869	120982	56	84786	4	101
1530	176508	54	83123	12	98
2172	179321	89	101193	2	132
901	123185	40	38361	1	60
463	52746	25	68504	3	38
3201	385534	92	119182	0	144
371	33170	18	22807	0	5
1192	101645	63	17140	0	28
1583	149061	44	116174	5	84
1439	165446	33	57635	0	79
1764	237213	84	66198	0	127
1495	173326	88	71701	7	78
1373	133131	55	57793	7	60
2187	258873	60	80444	3	131
1491	180083	66	53855	9	84
4041	324799	154	97668	0	133
1706	230964	53	133824	4	150
2152	236785	119	101481	3	91
1036	135473	41	99645	0	132
1882	202925	61	114789	7	136
1929	215147	58	99052	0	124
2242	344297	75	67654	1	118
1220	153935	33	65553	5	70
1289	132943	40	97500	7	107
2515	174724	92	69112	0	119
2147	174415	100	82753	0	89
2352	225548	112	85323	5	112
1638	223632	73	72654	0	108
1222	124817	40	30727	0	52
1812	221698	45	77873	0	112
1677	210767	60	117478	3	116
1579	170266	62	74007	4	123
1731	260561	75	90183	1	125
807	84853	31	61542	4	27
2452	294424	77	101494	2	162
829	101011	34	27570	0	32
1940	215641	46	55813	0	64
2662	325107	99	79215	0	92
186	7176	17	1423	0	0
1499	167542	66	55461	2	83
865	106408	30	31081	1	41
1793	96560	76	22996	0	47
2527	265769	146	83122	2	120
2747	269651	67	70106	10	105
1324	149112	56	60578	6	79
2702	175824	107	39992	0	65
1383	152871	58	79892	5	70
1179	111665	34	49810	4	55
2099	116408	61	71570	1	39
4308	362301	119	100708	2	67
918	78800	42	33032	2	21
1831	183167	66	82875	0	127
3373	277965	89	139077	8	152
1713	150629	44	71595	3	113
1438	168809	66	72260	0	99
496	24188	24	5950	0	7
2253	329267	259	115762	8	141
744	65029	17	32551	5	21
1161	101097	64	31701	3	35
2352	218946	41	80670	1	109
2144	244052	68	143558	5	133
4691	341570	168	117105	1	123
1112	103597	43	23789	1	26
2694	233328	132	120733	5	230
1973	256462	105	105195	0	166
1769	206161	71	73107	12	68
3148	311473	112	132068	8	147
2474	235800	94	149193	8	179
2084	177939	82	46821	8	61
1954	207176	70	87011	8	101
1226	196553	57	95260	2	108
1389	174184	53	55183	0	90
1496	143246	103	106671	5	114
2269	187559	121	73511	8	103
1833	187681	62	92945	2	142
1268	119016	52	78664	5	79
1943	182192	52	70054	12	88
893	73566	32	22618	6	25
1762	194979	62	74011	7	83
1403	167488	45	83737	2	113
1425	143756	46	69094	0	118
1857	275541	63	93133	4	110
1840	243199	75	95536	3	129
1502	182999	88	225920	6	51
1441	135649	46	62133	2	93
1420	152299	53	61370	0	76
1416	120221	37	43836	1	49
2970	346485	90	106117	0	118
1317	145790	63	38692	5	38
1644	193339	78	84651	2	141
870	80953	25	56622	0	58
1654	122774	45	15986	0	27
1054	130585	46	95364	5	91
937	112611	41	26706	0	48
3004	286468	144	89691	1	63
2008	241066	82	67267	0	56
2547	148446	91	126846	1	144
1885	204713	71	41140	1	73
1626	182079	63	102860	2	168
1468	140344	53	51715	6	64
2445	220516	62	55801	1	97
1964	243060	63	111813	4	117
1381	162765	32	120293	2	100
1369	182613	39	138599	3	149
1659	232138	62	161647	0	187
2888	265318	117	115929	10	127
1290	85574	34	24266	0	37
2845	310839	92	162901	9	245
1982	225060	93	109825	7	87
1904	232317	54	129838	0	177
1391	144966	144	37510	0	49
602	43287	14	43750	4	49
1743	155754	61	40652	4	73
1559	164709	109	87771	0	177
2014	201940	38	85872	0	94
2143	235454	73	89275	0	117
2146	220801	75	44418	1	60
874	99466	50	192565	0	55
1590	92661	61	35232	1	39
1590	133328	55	40909	0	64
1210	61361	77	13294	0	26
2072	125930	75	32387	4	64
1281	100750	72	140867	0	58
1401	224549	50	120662	4	95
834	82316	32	21233	4	25
1105	102010	53	44332	3	26
1272	101523	42	61056	0	76
1944	243511	71	101338	0	129
391	22938	10	1168	0	11
761	41566	35	13497	5	2
1605	152474	65	65567	0	101
530	61857	25	25162	4	28
1988	99923	66	32334	0	36
1386	132487	41	40735	0	89
2395	317394	86	91413	1	193
387	21054	16	855	0	4
1742	209641	42	97068	5	84
620	22648	19	44339	0	23
449	31414	19	14116	0	39
800	46698	45	10288	0	14
1684	131698	65	65622	0	78
1050	91735	35	16563	0	14
2699	244749	95	76643	2	101
1606	184510	49	110681	7	82
1502	79863	37	29011	1	24
1204	128423	64	92696	8	36
1138	97839	38	94785	2	75
568	38214	34	8773	0	16
1459	151101	32	83209	2	55
2158	272458	65	93815	0	131
1111	172494	52	86687	0	131
1421	108043	62	34553	1	39
2833	328107	65	105547	3	144
1955	250579	83	103487	0	139
2922	351067	95	213688	3	211
1002	158015	29	71220	0	78
1060	98866	18	23517	0	50
956	85439	33	56926	0	39
2186	229242	247	91721	4	90
3604	351619	139	115168	4	166
1035	84207	29	111194	11	12
1417	120445	118	51009	0	57
3261	324598	110	135777	0	133
1587	131069	67	51513	4	69
1424	204271	42	74163	0	119
1701	165543	65	51633	1	119
1249	141722	94	75345	0	65
946	116048	64	33416	0	61
1926	250047	81	83305	0	49
3352	299775	95	98952	9	101
1641	195838	67	102372	1	196
2035	173260	63	37238	3	15
2312	254488	83	103772	10	136
1369	104389	45	123969	5	89
1577	136084	30	27142	0	40
2201	199476	70	135400	2	123
961	92499	32	21399	0	21
1900	224330	83	130115	1	163
1254	135781	31	24874	2	29
1335	74408	67	34988	4	35
1597	81240	66	45549	0	13
207	14688	10	6023	0	5
1645	181633	70	64466	2	96
2429	271856	103	54990	1	151
151	7199	5	1644	0	6
474	46660	20	6179	0	13
141	17547	5	3926	0	3
1639	133368	36	32755	1	56
872	95227	34	34777	0	23
1318	152601	48	73224	2	57
1018	98146	40	27114	0	14
1383	79619	43	20760	3	43
1314	59194	31	37636	6	20
1335	139942	42	65461	0	72
1403	118612	46	30080	2	87
910	72880	33	24094	0	21
616	65475	18	69008	2	56
1407	99643	55	54968	1	59
771	71965	35	46090	1	82
766	77272	59	27507	2	43
473	49289	19	10672	1	25
1376	135131	66	34029	0	38
1232	108446	60	46300	1	25
1521	89746	36	24760	3	38
572	44296	25	18779	0	12
1059	77648	47	21280	0	29
1544	181528	54	40662	0	47
1230	134019	53	28987	0	45
1206	124064	40	22827	1	40
1205	92630	40	18513	4	30
1255	121848	39	30594	0	41
613	52915	14	24006	0	25
721	81872	45	27913	0	23
1109	58981	36	42744	7	14
740	53515	28	12934	2	16
1126	60812	44	22574	0	26
728	56375	30	41385	7	21
689	65490	22	18653	3	27
592	80949	17	18472	0	9
995	76302	31	30976	0	33
1613	104011	55	63339	6	42
2048	98104	54	25568	2	68
705	67989	21	33747	0	32
301	30989	14	4154	0	6
1803	135458	81	19474	3	67
799	73504	35	35130	0	33
861	63123	43	39067	1	77
1186	61254	46	13310	1	46
1451	74914	30	65892	0	30
628	31774	23	4143	1	0
1161	81437	38	28579	0	36
1463	87186	54	51776	0	46
742	50090	20	21152	0	18
979	65745	53	38084	0	48
675	56653	45	27717	0	29
1241	158399	39	32928	0	28
676	46455	20	11342	0	34
1049	73624	24	19499	0	33
620	38395	31	16380	0	34
1081	91899	35	36874	0	33
1688	139526	151	48259	0	80
736	52164	52	16734	0	32
617	51567	30	28207	2	30
812	70551	31	30143	0	41
1051	84856	29	41369	1	41
1656	102538	57	45833	1	51
705	86678	40	29156	0	18
945	85709	44	35944	0	34
554	34662	25	36278	0	31
1597	150580	77	45588	0	39
982	99611	35	45097	0	54
222	19349	11	3895	0	14
1212	99373	63	28394	1	24
1143	86230	44	18632	0	24
435	30837	19	2325	0	8
532	31706	13	25139	0	26
882	89806	42	27975	0	19
608	62088	38	14483	1	11
459	40151	29	13127	0	14
578	27634	20	5839	0	1
826	76990	27	24069	0	39
509	37460	20	3738	0	5
717	54157	19	18625	0	37
637	49862	37	36341	0	32
857	84337	26	24548	0	38
830	64175	42	21792	0	47
652	59382	49	26263	0	47
707	119308	30	23686	0	37
954	76702	49	49303	0	51
1461	103425	67	25659	1	45
672	70344	28	28904	0	21
778	43410	19	2781	0	1
1141	104838	49	29236	1	42
680	62215	27	19546	0	26
1090	69304	30	22818	6	21
616	53117	22	32689	3	4
285	19764	12	5752	1	10
1145	86680	31	22197	2	43
733	84105	20	20055	0	34
888	77945	20	25272	0	31
849	89113	39	82206	0	19
1182	91005	29	32073	3	34
528	40248	16	5444	1	6
642	64187	27	20154	0	11
947	50857	21	36944	0	24
819	56613	19	8019	1	16
757	62792	35	30884	0	72
894	72535	14	19540	0	21




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 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 & 8 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197238&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]8 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=197238&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197238&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 time8 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Goodness of Fit
Correlation0.8342
R-squared0.6959
RMSE22255.0694

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.8342 \tabularnewline
R-squared & 0.6959 \tabularnewline
RMSE & 22255.0694 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197238&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.8342[/C][/ROW]
[ROW][C]R-squared[/C][C]0.6959[/C][/ROW]
[ROW][C]RMSE[/C][C]22255.0694[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197238&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197238&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
Correlation0.8342
R-squared0.6959
RMSE22255.0694







Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
1112285106666.8755618.125
28478664960.865671641819825.1343283582
38312364960.865671641818162.1343283582
4101193106666.875-5473.875
53836164960.8656716418-26599.8656716418
66850429635.096774193538868.9032258065
7119182106666.87512515.125
8228076630.8695652173916176.1304347826
91714029635.0967741935-12495.0967741935
1011617464960.865671641851213.1343283582
115763564960.8656716418-7325.86567164179
1266198106666.875-40468.875
137170164960.86567164186740.13432835821
145779364960.8656716418-7167.86567164179
1580444106666.875-26222.875
165385564960.8656716418-11105.8656716418
1797668106666.875-8998.875
18133824106666.87527157.125
1910148188476.638888888913004.3611111111
2099645106666.875-7021.875
21114789106666.8758122.125
2299052106666.875-7614.875
236765488476.6388888889-20822.6388888889
246555364960.8656716418592.13432835821
259750064960.865671641832539.1343283582
266911264960.86567164184151.13432835821
278275364960.865671641817792.1343283582
288532388476.6388888889-3153.63888888889
297265488476.6388888889-15822.6388888889
303072764960.8656716418-34233.8656716418
317787388476.6388888889-10603.6388888889
3211747888476.638888888929001.3611111111
3374007106666.875-32659.875
3490183106666.875-16483.875
356154229635.096774193531906.9032258065
36101494106666.875-5172.875
372757029635.0967741935-2065.09677419355
385581388476.6388888889-32663.6388888889
397921588476.6388888889-9261.63888888889
4014236630.86956521739-5207.86956521739
415546164960.8656716418-9499.86567164179
423108129635.09677419351445.90322580645
432299629635.0967741935-6639.09677419355
448312288476.6388888889-5354.63888888889
457010688476.6388888889-18370.6388888889
466057864960.8656716418-4382.86567164179
473999264960.8656716418-24968.8656716418
487989264960.865671641814931.1343283582
494981064960.8656716418-15150.8656716418
507157029635.096774193541934.9032258065
5110070888476.638888888912231.3611111111
523303229635.09677419353396.90322580645
5382875106666.875-23791.875
54139077106666.87532410.125
557159564960.86567164186634.13432835821
567226064960.86567164187299.13432835821
5759506630.86956521739-680.869565217391
58115762106666.8759095.125
593255129635.09677419352915.90322580645
603170129635.09677419352065.90322580645
618067088476.6388888889-7806.63888888889
62143558106666.87536891.125
63117105106666.87510438.125
642378929635.0967741935-5846.09677419355
65120733143135.285714286-22402.2857142857
66105195106666.875-1471.875
677310788476.6388888889-15369.6388888889
68132068106666.87525401.125
69149193143135.2857142866057.71428571429
704682164960.8656716418-18139.8656716418
718701188476.6388888889-1465.63888888889
729526088476.63888888896783.36111111111
735518364960.8656716418-9777.86567164179
7410667164960.865671641841710.1343283582
757351188476.6388888889-14965.6388888889
7692945106666.875-13721.875
777866464960.865671641813703.1343283582
787005464960.86567164185093.13432835821
792261854303.75-31685.75
807401188476.6388888889-14465.6388888889
818373764960.865671641818776.1343283582
826909464960.86567164184133.13432835821
839313388476.63888888894656.36111111111
8495536106666.875-11130.875
8522592088476.6388888889137443.361111111
866213364960.8656716418-2827.86567164179
876137064960.8656716418-3590.86567164179
884383629635.096774193514200.9032258065
8910611788476.638888888917640.3611111111
903869245131.8571428571-6439.85714285714
9184651106666.875-22015.875
925662264960.8656716418-8338.86567164179
931598629635.0967741935-13649.0967741935
949536464960.865671641830403.1343283582
952670629635.0967741935-2929.09677419355
968969188476.63888888891214.36111111111
976726788476.6388888889-21209.6388888889
98126846106666.87520179.125
994114088476.6388888889-47336.6388888889
100102860106666.875-3806.875
1015171564960.8656716418-13245.8656716418
1025580188476.6388888889-32675.6388888889
10311181388476.638888888923336.3611111111
10412029364960.865671641855332.1343283582
105138599106666.87531932.125
106161647143135.28571428618511.7142857143
107115929106666.8759262.125
1082426629635.0967741935-5369.09677419355
109162901143135.28571428619765.7142857143
11010982588476.638888888921348.3611111111
111129838106666.87523171.125
1123751045131.8571428571-7621.85714285714
113437502525218498
1144065264960.8656716418-24308.8656716418
11587771106666.875-18895.875
1168587288476.6388888889-2604.63888888889
1178927588476.6388888889798.361111111109
1184441888476.6388888889-44058.6388888889
11919256564960.8656716418127604.134328358
1203523229635.09677419355596.90322580645
1214090964960.8656716418-24051.8656716418
1221329429635.0967741935-16341.0967741935
1233238764960.8656716418-32573.8656716418
12414086764960.865671641875906.1343283582
12512066288476.638888888932185.3611111111
1262123329635.0967741935-8402.09677419355
1274433229635.096774193514696.9032258065
1286105664960.8656716418-3904.86567164179
129101338106666.875-5328.875
13011686630.86956521739-5462.86956521739
131134976630.869565217396866.13043478261
1326556764960.8656716418606.13432835821
1332516229635.0967741935-4473.09677419355
1343233429635.09677419352698.90322580645
1354073564960.8656716418-24225.8656716418
13691413143135.285714286-51722.2857142857
1378556630.86956521739-5775.86956521739
1389706888476.63888888898591.36111111111
139443392525219087
1401411625252-11136
141102886630.869565217393657.13043478261
1426562264960.8656716418661.13432835821
1431656329635.0967741935-13072.0967741935
1447664388476.6388888889-11833.6388888889
14511068188476.638888888922204.3611111111
1462901129635.0967741935-624.096774193549
1479269654303.7538392.25
1489478564960.865671641829824.1343283582
14987736630.869565217392142.13043478261
1508320964960.865671641818248.1343283582
15193815106666.875-12851.875
15286687106666.875-19979.875
1533455329635.09677419354917.90322580645
154105547106666.875-1119.875
155103487106666.875-3179.875
156213688143135.28571428670552.7142857143
1577122064960.86567164186259.13432835821
1582351729635.0967741935-6118.09677419355
1595692629635.096774193527290.9032258065
1609172188476.63888888893244.36111111111
161115168106666.8758501.125
16211119454303.7556890.25
1635100964960.8656716418-13951.8656716418
164135777106666.87529110.125
1655151364960.8656716418-13447.8656716418
1667416388476.6388888889-14313.6388888889
1675163364960.8656716418-13327.8656716418
1687534564960.865671641810384.1343283582
1693341664960.8656716418-31544.8656716418
1708330545131.857142857138173.1428571429
1719895288476.638888888910475.3611111111
172102372143135.285714286-40763.2857142857
1733723845131.8571428571-7893.85714285714
174103772106666.875-2894.875
17512396964960.865671641859008.1343283582
1762714229635.0967741935-2493.09677419355
177135400106666.87528733.125
1782139929635.0967741935-8236.09677419355
179130115106666.87523448.125
1802487429635.0967741935-4761.09677419355
1813498829635.09677419355352.90322580645
1824554929635.096774193515913.9032258065
18360236630.86956521739-607.869565217391
1846446664960.8656716418-494.86567164179
18554990106666.875-51676.875
18616446630.86956521739-4986.86956521739
18761796630.86956521739-451.869565217391
18839266630.86956521739-2704.86956521739
1893275564960.8656716418-32205.8656716418
1903477729635.09677419355141.90322580645
1917322464960.86567164188263.13432835821
1922711429635.0967741935-2521.09677419355
1932076029635.0967741935-8875.09677419355
1943763654303.75-16667.75
1956546164960.8656716418500.13432835821
1963008064960.8656716418-34880.8656716418
1972409429635.0967741935-5541.09677419355
1986900864960.86567164184047.13432835821
1995496864960.8656716418-9992.86567164179
2004609064960.8656716418-18870.8656716418
2012750729635.0967741935-2128.09677419355
2021067225252-14580
2033402929635.09677419354393.90322580645
2044630029635.096774193516664.9032258065
2052476029635.0967741935-4875.09677419355
206187796630.8695652173912148.1304347826
2072128029635.0967741935-8355.09677419355
2084066245131.8571428571-4469.85714285714
2092898729635.0967741935-648.096774193549
2102282729635.0967741935-6808.09677419355
2111851329635.0967741935-11122.0967741935
2123059429635.0967741935958.903225806451
2132400629635.0967741935-5629.09677419355
2142791329635.0967741935-1722.09677419355
2154274454303.75-11559.75
2161293429635.0967741935-16701.0967741935
2172257429635.0967741935-7061.09677419355
2184138554303.75-12918.75
2191865329635.0967741935-10982.0967741935
2201847229635.0967741935-11163.0967741935
2213097629635.09677419351340.90322580645
2226333954303.759035.25
2232556864960.8656716418-39392.8656716418
2243374729635.09677419354111.90322580645
22541546630.86956521739-2476.86956521739
2261947464960.8656716418-45486.8656716418
2273513029635.09677419355494.90322580645
2283906764960.8656716418-25893.8656716418
2291331029635.0967741935-16325.0967741935
2306589229635.096774193536256.9032258065
23141436630.86956521739-2487.86956521739
2322857929635.0967741935-1056.09677419355
2335177629635.096774193522140.9032258065
2342115229635.0967741935-8483.09677419355
2353808429635.09677419358448.90322580645
2362771729635.0967741935-1918.09677419355
2373292845131.8571428571-12203.8571428571
2381134225252-13910
2391949929635.0967741935-10136.0967741935
2401638025252-8872
2413687429635.09677419357238.90322580645
2424825964960.8656716418-16701.8656716418
2431673429635.0967741935-12901.0967741935
2442820729635.0967741935-1428.09677419355
2453014329635.0967741935507.903225806451
2464136929635.096774193511733.9032258065
2474583364960.8656716418-19127.8656716418
2482915629635.0967741935-479.096774193549
2493594429635.09677419356308.90322580645
250362782525211026
2514558845131.8571428571456.142857142855
2524509764960.8656716418-19863.8656716418
25338956630.86956521739-2735.86956521739
2542839429635.0967741935-1241.09677419355
2551863229635.0967741935-11003.0967741935
25623256630.86956521739-4305.86956521739
2572513925252-113
2582797529635.0967741935-1660.09677419355
2591448329635.0967741935-15152.0967741935
260131276630.869565217396496.13043478261
26158396630.86956521739-791.869565217391
2622406929635.0967741935-5566.09677419355
26337386630.86956521739-2892.86956521739
2641862529635.0967741935-11010.0967741935
2653634129635.09677419356705.90322580645
2662454829635.0967741935-5087.09677419355
2672179229635.0967741935-7843.09677419355
2682626329635.0967741935-3372.09677419355
2692368629635.0967741935-5949.09677419355
2704930364960.8656716418-15657.8656716418
2712565929635.0967741935-3976.09677419355
2722890429635.0967741935-731.096774193549
27327816630.86956521739-3849.86956521739
2742923629635.0967741935-399.096774193549
2751954629635.0967741935-10089.0967741935
2762281854303.75-31485.75
2773268929635.09677419353053.90322580645
27857526630.86956521739-878.869565217391
2792219729635.0967741935-7438.09677419355
2802005529635.0967741935-9580.09677419355
2812527229635.0967741935-4363.09677419355
2828220629635.096774193552570.9032258065
2833207329635.09677419352437.90322580645
28454446630.86956521739-1186.86956521739
2852015429635.0967741935-9481.09677419355
2863694429635.09677419357308.90322580645
287801929635.0967741935-21616.0967741935
2883088464960.8656716418-34076.8656716418
2891954029635.0967741935-10095.0967741935

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 112285 & 106666.875 & 5618.125 \tabularnewline
2 & 84786 & 64960.8656716418 & 19825.1343283582 \tabularnewline
3 & 83123 & 64960.8656716418 & 18162.1343283582 \tabularnewline
4 & 101193 & 106666.875 & -5473.875 \tabularnewline
5 & 38361 & 64960.8656716418 & -26599.8656716418 \tabularnewline
6 & 68504 & 29635.0967741935 & 38868.9032258065 \tabularnewline
7 & 119182 & 106666.875 & 12515.125 \tabularnewline
8 & 22807 & 6630.86956521739 & 16176.1304347826 \tabularnewline
9 & 17140 & 29635.0967741935 & -12495.0967741935 \tabularnewline
10 & 116174 & 64960.8656716418 & 51213.1343283582 \tabularnewline
11 & 57635 & 64960.8656716418 & -7325.86567164179 \tabularnewline
12 & 66198 & 106666.875 & -40468.875 \tabularnewline
13 & 71701 & 64960.8656716418 & 6740.13432835821 \tabularnewline
14 & 57793 & 64960.8656716418 & -7167.86567164179 \tabularnewline
15 & 80444 & 106666.875 & -26222.875 \tabularnewline
16 & 53855 & 64960.8656716418 & -11105.8656716418 \tabularnewline
17 & 97668 & 106666.875 & -8998.875 \tabularnewline
18 & 133824 & 106666.875 & 27157.125 \tabularnewline
19 & 101481 & 88476.6388888889 & 13004.3611111111 \tabularnewline
20 & 99645 & 106666.875 & -7021.875 \tabularnewline
21 & 114789 & 106666.875 & 8122.125 \tabularnewline
22 & 99052 & 106666.875 & -7614.875 \tabularnewline
23 & 67654 & 88476.6388888889 & -20822.6388888889 \tabularnewline
24 & 65553 & 64960.8656716418 & 592.13432835821 \tabularnewline
25 & 97500 & 64960.8656716418 & 32539.1343283582 \tabularnewline
26 & 69112 & 64960.8656716418 & 4151.13432835821 \tabularnewline
27 & 82753 & 64960.8656716418 & 17792.1343283582 \tabularnewline
28 & 85323 & 88476.6388888889 & -3153.63888888889 \tabularnewline
29 & 72654 & 88476.6388888889 & -15822.6388888889 \tabularnewline
30 & 30727 & 64960.8656716418 & -34233.8656716418 \tabularnewline
31 & 77873 & 88476.6388888889 & -10603.6388888889 \tabularnewline
32 & 117478 & 88476.6388888889 & 29001.3611111111 \tabularnewline
33 & 74007 & 106666.875 & -32659.875 \tabularnewline
34 & 90183 & 106666.875 & -16483.875 \tabularnewline
35 & 61542 & 29635.0967741935 & 31906.9032258065 \tabularnewline
36 & 101494 & 106666.875 & -5172.875 \tabularnewline
37 & 27570 & 29635.0967741935 & -2065.09677419355 \tabularnewline
38 & 55813 & 88476.6388888889 & -32663.6388888889 \tabularnewline
39 & 79215 & 88476.6388888889 & -9261.63888888889 \tabularnewline
40 & 1423 & 6630.86956521739 & -5207.86956521739 \tabularnewline
41 & 55461 & 64960.8656716418 & -9499.86567164179 \tabularnewline
42 & 31081 & 29635.0967741935 & 1445.90322580645 \tabularnewline
43 & 22996 & 29635.0967741935 & -6639.09677419355 \tabularnewline
44 & 83122 & 88476.6388888889 & -5354.63888888889 \tabularnewline
45 & 70106 & 88476.6388888889 & -18370.6388888889 \tabularnewline
46 & 60578 & 64960.8656716418 & -4382.86567164179 \tabularnewline
47 & 39992 & 64960.8656716418 & -24968.8656716418 \tabularnewline
48 & 79892 & 64960.8656716418 & 14931.1343283582 \tabularnewline
49 & 49810 & 64960.8656716418 & -15150.8656716418 \tabularnewline
50 & 71570 & 29635.0967741935 & 41934.9032258065 \tabularnewline
51 & 100708 & 88476.6388888889 & 12231.3611111111 \tabularnewline
52 & 33032 & 29635.0967741935 & 3396.90322580645 \tabularnewline
53 & 82875 & 106666.875 & -23791.875 \tabularnewline
54 & 139077 & 106666.875 & 32410.125 \tabularnewline
55 & 71595 & 64960.8656716418 & 6634.13432835821 \tabularnewline
56 & 72260 & 64960.8656716418 & 7299.13432835821 \tabularnewline
57 & 5950 & 6630.86956521739 & -680.869565217391 \tabularnewline
58 & 115762 & 106666.875 & 9095.125 \tabularnewline
59 & 32551 & 29635.0967741935 & 2915.90322580645 \tabularnewline
60 & 31701 & 29635.0967741935 & 2065.90322580645 \tabularnewline
61 & 80670 & 88476.6388888889 & -7806.63888888889 \tabularnewline
62 & 143558 & 106666.875 & 36891.125 \tabularnewline
63 & 117105 & 106666.875 & 10438.125 \tabularnewline
64 & 23789 & 29635.0967741935 & -5846.09677419355 \tabularnewline
65 & 120733 & 143135.285714286 & -22402.2857142857 \tabularnewline
66 & 105195 & 106666.875 & -1471.875 \tabularnewline
67 & 73107 & 88476.6388888889 & -15369.6388888889 \tabularnewline
68 & 132068 & 106666.875 & 25401.125 \tabularnewline
69 & 149193 & 143135.285714286 & 6057.71428571429 \tabularnewline
70 & 46821 & 64960.8656716418 & -18139.8656716418 \tabularnewline
71 & 87011 & 88476.6388888889 & -1465.63888888889 \tabularnewline
72 & 95260 & 88476.6388888889 & 6783.36111111111 \tabularnewline
73 & 55183 & 64960.8656716418 & -9777.86567164179 \tabularnewline
74 & 106671 & 64960.8656716418 & 41710.1343283582 \tabularnewline
75 & 73511 & 88476.6388888889 & -14965.6388888889 \tabularnewline
76 & 92945 & 106666.875 & -13721.875 \tabularnewline
77 & 78664 & 64960.8656716418 & 13703.1343283582 \tabularnewline
78 & 70054 & 64960.8656716418 & 5093.13432835821 \tabularnewline
79 & 22618 & 54303.75 & -31685.75 \tabularnewline
80 & 74011 & 88476.6388888889 & -14465.6388888889 \tabularnewline
81 & 83737 & 64960.8656716418 & 18776.1343283582 \tabularnewline
82 & 69094 & 64960.8656716418 & 4133.13432835821 \tabularnewline
83 & 93133 & 88476.6388888889 & 4656.36111111111 \tabularnewline
84 & 95536 & 106666.875 & -11130.875 \tabularnewline
85 & 225920 & 88476.6388888889 & 137443.361111111 \tabularnewline
86 & 62133 & 64960.8656716418 & -2827.86567164179 \tabularnewline
87 & 61370 & 64960.8656716418 & -3590.86567164179 \tabularnewline
88 & 43836 & 29635.0967741935 & 14200.9032258065 \tabularnewline
89 & 106117 & 88476.6388888889 & 17640.3611111111 \tabularnewline
90 & 38692 & 45131.8571428571 & -6439.85714285714 \tabularnewline
91 & 84651 & 106666.875 & -22015.875 \tabularnewline
92 & 56622 & 64960.8656716418 & -8338.86567164179 \tabularnewline
93 & 15986 & 29635.0967741935 & -13649.0967741935 \tabularnewline
94 & 95364 & 64960.8656716418 & 30403.1343283582 \tabularnewline
95 & 26706 & 29635.0967741935 & -2929.09677419355 \tabularnewline
96 & 89691 & 88476.6388888889 & 1214.36111111111 \tabularnewline
97 & 67267 & 88476.6388888889 & -21209.6388888889 \tabularnewline
98 & 126846 & 106666.875 & 20179.125 \tabularnewline
99 & 41140 & 88476.6388888889 & -47336.6388888889 \tabularnewline
100 & 102860 & 106666.875 & -3806.875 \tabularnewline
101 & 51715 & 64960.8656716418 & -13245.8656716418 \tabularnewline
102 & 55801 & 88476.6388888889 & -32675.6388888889 \tabularnewline
103 & 111813 & 88476.6388888889 & 23336.3611111111 \tabularnewline
104 & 120293 & 64960.8656716418 & 55332.1343283582 \tabularnewline
105 & 138599 & 106666.875 & 31932.125 \tabularnewline
106 & 161647 & 143135.285714286 & 18511.7142857143 \tabularnewline
107 & 115929 & 106666.875 & 9262.125 \tabularnewline
108 & 24266 & 29635.0967741935 & -5369.09677419355 \tabularnewline
109 & 162901 & 143135.285714286 & 19765.7142857143 \tabularnewline
110 & 109825 & 88476.6388888889 & 21348.3611111111 \tabularnewline
111 & 129838 & 106666.875 & 23171.125 \tabularnewline
112 & 37510 & 45131.8571428571 & -7621.85714285714 \tabularnewline
113 & 43750 & 25252 & 18498 \tabularnewline
114 & 40652 & 64960.8656716418 & -24308.8656716418 \tabularnewline
115 & 87771 & 106666.875 & -18895.875 \tabularnewline
116 & 85872 & 88476.6388888889 & -2604.63888888889 \tabularnewline
117 & 89275 & 88476.6388888889 & 798.361111111109 \tabularnewline
118 & 44418 & 88476.6388888889 & -44058.6388888889 \tabularnewline
119 & 192565 & 64960.8656716418 & 127604.134328358 \tabularnewline
120 & 35232 & 29635.0967741935 & 5596.90322580645 \tabularnewline
121 & 40909 & 64960.8656716418 & -24051.8656716418 \tabularnewline
122 & 13294 & 29635.0967741935 & -16341.0967741935 \tabularnewline
123 & 32387 & 64960.8656716418 & -32573.8656716418 \tabularnewline
124 & 140867 & 64960.8656716418 & 75906.1343283582 \tabularnewline
125 & 120662 & 88476.6388888889 & 32185.3611111111 \tabularnewline
126 & 21233 & 29635.0967741935 & -8402.09677419355 \tabularnewline
127 & 44332 & 29635.0967741935 & 14696.9032258065 \tabularnewline
128 & 61056 & 64960.8656716418 & -3904.86567164179 \tabularnewline
129 & 101338 & 106666.875 & -5328.875 \tabularnewline
130 & 1168 & 6630.86956521739 & -5462.86956521739 \tabularnewline
131 & 13497 & 6630.86956521739 & 6866.13043478261 \tabularnewline
132 & 65567 & 64960.8656716418 & 606.13432835821 \tabularnewline
133 & 25162 & 29635.0967741935 & -4473.09677419355 \tabularnewline
134 & 32334 & 29635.0967741935 & 2698.90322580645 \tabularnewline
135 & 40735 & 64960.8656716418 & -24225.8656716418 \tabularnewline
136 & 91413 & 143135.285714286 & -51722.2857142857 \tabularnewline
137 & 855 & 6630.86956521739 & -5775.86956521739 \tabularnewline
138 & 97068 & 88476.6388888889 & 8591.36111111111 \tabularnewline
139 & 44339 & 25252 & 19087 \tabularnewline
140 & 14116 & 25252 & -11136 \tabularnewline
141 & 10288 & 6630.86956521739 & 3657.13043478261 \tabularnewline
142 & 65622 & 64960.8656716418 & 661.13432835821 \tabularnewline
143 & 16563 & 29635.0967741935 & -13072.0967741935 \tabularnewline
144 & 76643 & 88476.6388888889 & -11833.6388888889 \tabularnewline
145 & 110681 & 88476.6388888889 & 22204.3611111111 \tabularnewline
146 & 29011 & 29635.0967741935 & -624.096774193549 \tabularnewline
147 & 92696 & 54303.75 & 38392.25 \tabularnewline
148 & 94785 & 64960.8656716418 & 29824.1343283582 \tabularnewline
149 & 8773 & 6630.86956521739 & 2142.13043478261 \tabularnewline
150 & 83209 & 64960.8656716418 & 18248.1343283582 \tabularnewline
151 & 93815 & 106666.875 & -12851.875 \tabularnewline
152 & 86687 & 106666.875 & -19979.875 \tabularnewline
153 & 34553 & 29635.0967741935 & 4917.90322580645 \tabularnewline
154 & 105547 & 106666.875 & -1119.875 \tabularnewline
155 & 103487 & 106666.875 & -3179.875 \tabularnewline
156 & 213688 & 143135.285714286 & 70552.7142857143 \tabularnewline
157 & 71220 & 64960.8656716418 & 6259.13432835821 \tabularnewline
158 & 23517 & 29635.0967741935 & -6118.09677419355 \tabularnewline
159 & 56926 & 29635.0967741935 & 27290.9032258065 \tabularnewline
160 & 91721 & 88476.6388888889 & 3244.36111111111 \tabularnewline
161 & 115168 & 106666.875 & 8501.125 \tabularnewline
162 & 111194 & 54303.75 & 56890.25 \tabularnewline
163 & 51009 & 64960.8656716418 & -13951.8656716418 \tabularnewline
164 & 135777 & 106666.875 & 29110.125 \tabularnewline
165 & 51513 & 64960.8656716418 & -13447.8656716418 \tabularnewline
166 & 74163 & 88476.6388888889 & -14313.6388888889 \tabularnewline
167 & 51633 & 64960.8656716418 & -13327.8656716418 \tabularnewline
168 & 75345 & 64960.8656716418 & 10384.1343283582 \tabularnewline
169 & 33416 & 64960.8656716418 & -31544.8656716418 \tabularnewline
170 & 83305 & 45131.8571428571 & 38173.1428571429 \tabularnewline
171 & 98952 & 88476.6388888889 & 10475.3611111111 \tabularnewline
172 & 102372 & 143135.285714286 & -40763.2857142857 \tabularnewline
173 & 37238 & 45131.8571428571 & -7893.85714285714 \tabularnewline
174 & 103772 & 106666.875 & -2894.875 \tabularnewline
175 & 123969 & 64960.8656716418 & 59008.1343283582 \tabularnewline
176 & 27142 & 29635.0967741935 & -2493.09677419355 \tabularnewline
177 & 135400 & 106666.875 & 28733.125 \tabularnewline
178 & 21399 & 29635.0967741935 & -8236.09677419355 \tabularnewline
179 & 130115 & 106666.875 & 23448.125 \tabularnewline
180 & 24874 & 29635.0967741935 & -4761.09677419355 \tabularnewline
181 & 34988 & 29635.0967741935 & 5352.90322580645 \tabularnewline
182 & 45549 & 29635.0967741935 & 15913.9032258065 \tabularnewline
183 & 6023 & 6630.86956521739 & -607.869565217391 \tabularnewline
184 & 64466 & 64960.8656716418 & -494.86567164179 \tabularnewline
185 & 54990 & 106666.875 & -51676.875 \tabularnewline
186 & 1644 & 6630.86956521739 & -4986.86956521739 \tabularnewline
187 & 6179 & 6630.86956521739 & -451.869565217391 \tabularnewline
188 & 3926 & 6630.86956521739 & -2704.86956521739 \tabularnewline
189 & 32755 & 64960.8656716418 & -32205.8656716418 \tabularnewline
190 & 34777 & 29635.0967741935 & 5141.90322580645 \tabularnewline
191 & 73224 & 64960.8656716418 & 8263.13432835821 \tabularnewline
192 & 27114 & 29635.0967741935 & -2521.09677419355 \tabularnewline
193 & 20760 & 29635.0967741935 & -8875.09677419355 \tabularnewline
194 & 37636 & 54303.75 & -16667.75 \tabularnewline
195 & 65461 & 64960.8656716418 & 500.13432835821 \tabularnewline
196 & 30080 & 64960.8656716418 & -34880.8656716418 \tabularnewline
197 & 24094 & 29635.0967741935 & -5541.09677419355 \tabularnewline
198 & 69008 & 64960.8656716418 & 4047.13432835821 \tabularnewline
199 & 54968 & 64960.8656716418 & -9992.86567164179 \tabularnewline
200 & 46090 & 64960.8656716418 & -18870.8656716418 \tabularnewline
201 & 27507 & 29635.0967741935 & -2128.09677419355 \tabularnewline
202 & 10672 & 25252 & -14580 \tabularnewline
203 & 34029 & 29635.0967741935 & 4393.90322580645 \tabularnewline
204 & 46300 & 29635.0967741935 & 16664.9032258065 \tabularnewline
205 & 24760 & 29635.0967741935 & -4875.09677419355 \tabularnewline
206 & 18779 & 6630.86956521739 & 12148.1304347826 \tabularnewline
207 & 21280 & 29635.0967741935 & -8355.09677419355 \tabularnewline
208 & 40662 & 45131.8571428571 & -4469.85714285714 \tabularnewline
209 & 28987 & 29635.0967741935 & -648.096774193549 \tabularnewline
210 & 22827 & 29635.0967741935 & -6808.09677419355 \tabularnewline
211 & 18513 & 29635.0967741935 & -11122.0967741935 \tabularnewline
212 & 30594 & 29635.0967741935 & 958.903225806451 \tabularnewline
213 & 24006 & 29635.0967741935 & -5629.09677419355 \tabularnewline
214 & 27913 & 29635.0967741935 & -1722.09677419355 \tabularnewline
215 & 42744 & 54303.75 & -11559.75 \tabularnewline
216 & 12934 & 29635.0967741935 & -16701.0967741935 \tabularnewline
217 & 22574 & 29635.0967741935 & -7061.09677419355 \tabularnewline
218 & 41385 & 54303.75 & -12918.75 \tabularnewline
219 & 18653 & 29635.0967741935 & -10982.0967741935 \tabularnewline
220 & 18472 & 29635.0967741935 & -11163.0967741935 \tabularnewline
221 & 30976 & 29635.0967741935 & 1340.90322580645 \tabularnewline
222 & 63339 & 54303.75 & 9035.25 \tabularnewline
223 & 25568 & 64960.8656716418 & -39392.8656716418 \tabularnewline
224 & 33747 & 29635.0967741935 & 4111.90322580645 \tabularnewline
225 & 4154 & 6630.86956521739 & -2476.86956521739 \tabularnewline
226 & 19474 & 64960.8656716418 & -45486.8656716418 \tabularnewline
227 & 35130 & 29635.0967741935 & 5494.90322580645 \tabularnewline
228 & 39067 & 64960.8656716418 & -25893.8656716418 \tabularnewline
229 & 13310 & 29635.0967741935 & -16325.0967741935 \tabularnewline
230 & 65892 & 29635.0967741935 & 36256.9032258065 \tabularnewline
231 & 4143 & 6630.86956521739 & -2487.86956521739 \tabularnewline
232 & 28579 & 29635.0967741935 & -1056.09677419355 \tabularnewline
233 & 51776 & 29635.0967741935 & 22140.9032258065 \tabularnewline
234 & 21152 & 29635.0967741935 & -8483.09677419355 \tabularnewline
235 & 38084 & 29635.0967741935 & 8448.90322580645 \tabularnewline
236 & 27717 & 29635.0967741935 & -1918.09677419355 \tabularnewline
237 & 32928 & 45131.8571428571 & -12203.8571428571 \tabularnewline
238 & 11342 & 25252 & -13910 \tabularnewline
239 & 19499 & 29635.0967741935 & -10136.0967741935 \tabularnewline
240 & 16380 & 25252 & -8872 \tabularnewline
241 & 36874 & 29635.0967741935 & 7238.90322580645 \tabularnewline
242 & 48259 & 64960.8656716418 & -16701.8656716418 \tabularnewline
243 & 16734 & 29635.0967741935 & -12901.0967741935 \tabularnewline
244 & 28207 & 29635.0967741935 & -1428.09677419355 \tabularnewline
245 & 30143 & 29635.0967741935 & 507.903225806451 \tabularnewline
246 & 41369 & 29635.0967741935 & 11733.9032258065 \tabularnewline
247 & 45833 & 64960.8656716418 & -19127.8656716418 \tabularnewline
248 & 29156 & 29635.0967741935 & -479.096774193549 \tabularnewline
249 & 35944 & 29635.0967741935 & 6308.90322580645 \tabularnewline
250 & 36278 & 25252 & 11026 \tabularnewline
251 & 45588 & 45131.8571428571 & 456.142857142855 \tabularnewline
252 & 45097 & 64960.8656716418 & -19863.8656716418 \tabularnewline
253 & 3895 & 6630.86956521739 & -2735.86956521739 \tabularnewline
254 & 28394 & 29635.0967741935 & -1241.09677419355 \tabularnewline
255 & 18632 & 29635.0967741935 & -11003.0967741935 \tabularnewline
256 & 2325 & 6630.86956521739 & -4305.86956521739 \tabularnewline
257 & 25139 & 25252 & -113 \tabularnewline
258 & 27975 & 29635.0967741935 & -1660.09677419355 \tabularnewline
259 & 14483 & 29635.0967741935 & -15152.0967741935 \tabularnewline
260 & 13127 & 6630.86956521739 & 6496.13043478261 \tabularnewline
261 & 5839 & 6630.86956521739 & -791.869565217391 \tabularnewline
262 & 24069 & 29635.0967741935 & -5566.09677419355 \tabularnewline
263 & 3738 & 6630.86956521739 & -2892.86956521739 \tabularnewline
264 & 18625 & 29635.0967741935 & -11010.0967741935 \tabularnewline
265 & 36341 & 29635.0967741935 & 6705.90322580645 \tabularnewline
266 & 24548 & 29635.0967741935 & -5087.09677419355 \tabularnewline
267 & 21792 & 29635.0967741935 & -7843.09677419355 \tabularnewline
268 & 26263 & 29635.0967741935 & -3372.09677419355 \tabularnewline
269 & 23686 & 29635.0967741935 & -5949.09677419355 \tabularnewline
270 & 49303 & 64960.8656716418 & -15657.8656716418 \tabularnewline
271 & 25659 & 29635.0967741935 & -3976.09677419355 \tabularnewline
272 & 28904 & 29635.0967741935 & -731.096774193549 \tabularnewline
273 & 2781 & 6630.86956521739 & -3849.86956521739 \tabularnewline
274 & 29236 & 29635.0967741935 & -399.096774193549 \tabularnewline
275 & 19546 & 29635.0967741935 & -10089.0967741935 \tabularnewline
276 & 22818 & 54303.75 & -31485.75 \tabularnewline
277 & 32689 & 29635.0967741935 & 3053.90322580645 \tabularnewline
278 & 5752 & 6630.86956521739 & -878.869565217391 \tabularnewline
279 & 22197 & 29635.0967741935 & -7438.09677419355 \tabularnewline
280 & 20055 & 29635.0967741935 & -9580.09677419355 \tabularnewline
281 & 25272 & 29635.0967741935 & -4363.09677419355 \tabularnewline
282 & 82206 & 29635.0967741935 & 52570.9032258065 \tabularnewline
283 & 32073 & 29635.0967741935 & 2437.90322580645 \tabularnewline
284 & 5444 & 6630.86956521739 & -1186.86956521739 \tabularnewline
285 & 20154 & 29635.0967741935 & -9481.09677419355 \tabularnewline
286 & 36944 & 29635.0967741935 & 7308.90322580645 \tabularnewline
287 & 8019 & 29635.0967741935 & -21616.0967741935 \tabularnewline
288 & 30884 & 64960.8656716418 & -34076.8656716418 \tabularnewline
289 & 19540 & 29635.0967741935 & -10095.0967741935 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197238&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]112285[/C][C]106666.875[/C][C]5618.125[/C][/ROW]
[ROW][C]2[/C][C]84786[/C][C]64960.8656716418[/C][C]19825.1343283582[/C][/ROW]
[ROW][C]3[/C][C]83123[/C][C]64960.8656716418[/C][C]18162.1343283582[/C][/ROW]
[ROW][C]4[/C][C]101193[/C][C]106666.875[/C][C]-5473.875[/C][/ROW]
[ROW][C]5[/C][C]38361[/C][C]64960.8656716418[/C][C]-26599.8656716418[/C][/ROW]
[ROW][C]6[/C][C]68504[/C][C]29635.0967741935[/C][C]38868.9032258065[/C][/ROW]
[ROW][C]7[/C][C]119182[/C][C]106666.875[/C][C]12515.125[/C][/ROW]
[ROW][C]8[/C][C]22807[/C][C]6630.86956521739[/C][C]16176.1304347826[/C][/ROW]
[ROW][C]9[/C][C]17140[/C][C]29635.0967741935[/C][C]-12495.0967741935[/C][/ROW]
[ROW][C]10[/C][C]116174[/C][C]64960.8656716418[/C][C]51213.1343283582[/C][/ROW]
[ROW][C]11[/C][C]57635[/C][C]64960.8656716418[/C][C]-7325.86567164179[/C][/ROW]
[ROW][C]12[/C][C]66198[/C][C]106666.875[/C][C]-40468.875[/C][/ROW]
[ROW][C]13[/C][C]71701[/C][C]64960.8656716418[/C][C]6740.13432835821[/C][/ROW]
[ROW][C]14[/C][C]57793[/C][C]64960.8656716418[/C][C]-7167.86567164179[/C][/ROW]
[ROW][C]15[/C][C]80444[/C][C]106666.875[/C][C]-26222.875[/C][/ROW]
[ROW][C]16[/C][C]53855[/C][C]64960.8656716418[/C][C]-11105.8656716418[/C][/ROW]
[ROW][C]17[/C][C]97668[/C][C]106666.875[/C][C]-8998.875[/C][/ROW]
[ROW][C]18[/C][C]133824[/C][C]106666.875[/C][C]27157.125[/C][/ROW]
[ROW][C]19[/C][C]101481[/C][C]88476.6388888889[/C][C]13004.3611111111[/C][/ROW]
[ROW][C]20[/C][C]99645[/C][C]106666.875[/C][C]-7021.875[/C][/ROW]
[ROW][C]21[/C][C]114789[/C][C]106666.875[/C][C]8122.125[/C][/ROW]
[ROW][C]22[/C][C]99052[/C][C]106666.875[/C][C]-7614.875[/C][/ROW]
[ROW][C]23[/C][C]67654[/C][C]88476.6388888889[/C][C]-20822.6388888889[/C][/ROW]
[ROW][C]24[/C][C]65553[/C][C]64960.8656716418[/C][C]592.13432835821[/C][/ROW]
[ROW][C]25[/C][C]97500[/C][C]64960.8656716418[/C][C]32539.1343283582[/C][/ROW]
[ROW][C]26[/C][C]69112[/C][C]64960.8656716418[/C][C]4151.13432835821[/C][/ROW]
[ROW][C]27[/C][C]82753[/C][C]64960.8656716418[/C][C]17792.1343283582[/C][/ROW]
[ROW][C]28[/C][C]85323[/C][C]88476.6388888889[/C][C]-3153.63888888889[/C][/ROW]
[ROW][C]29[/C][C]72654[/C][C]88476.6388888889[/C][C]-15822.6388888889[/C][/ROW]
[ROW][C]30[/C][C]30727[/C][C]64960.8656716418[/C][C]-34233.8656716418[/C][/ROW]
[ROW][C]31[/C][C]77873[/C][C]88476.6388888889[/C][C]-10603.6388888889[/C][/ROW]
[ROW][C]32[/C][C]117478[/C][C]88476.6388888889[/C][C]29001.3611111111[/C][/ROW]
[ROW][C]33[/C][C]74007[/C][C]106666.875[/C][C]-32659.875[/C][/ROW]
[ROW][C]34[/C][C]90183[/C][C]106666.875[/C][C]-16483.875[/C][/ROW]
[ROW][C]35[/C][C]61542[/C][C]29635.0967741935[/C][C]31906.9032258065[/C][/ROW]
[ROW][C]36[/C][C]101494[/C][C]106666.875[/C][C]-5172.875[/C][/ROW]
[ROW][C]37[/C][C]27570[/C][C]29635.0967741935[/C][C]-2065.09677419355[/C][/ROW]
[ROW][C]38[/C][C]55813[/C][C]88476.6388888889[/C][C]-32663.6388888889[/C][/ROW]
[ROW][C]39[/C][C]79215[/C][C]88476.6388888889[/C][C]-9261.63888888889[/C][/ROW]
[ROW][C]40[/C][C]1423[/C][C]6630.86956521739[/C][C]-5207.86956521739[/C][/ROW]
[ROW][C]41[/C][C]55461[/C][C]64960.8656716418[/C][C]-9499.86567164179[/C][/ROW]
[ROW][C]42[/C][C]31081[/C][C]29635.0967741935[/C][C]1445.90322580645[/C][/ROW]
[ROW][C]43[/C][C]22996[/C][C]29635.0967741935[/C][C]-6639.09677419355[/C][/ROW]
[ROW][C]44[/C][C]83122[/C][C]88476.6388888889[/C][C]-5354.63888888889[/C][/ROW]
[ROW][C]45[/C][C]70106[/C][C]88476.6388888889[/C][C]-18370.6388888889[/C][/ROW]
[ROW][C]46[/C][C]60578[/C][C]64960.8656716418[/C][C]-4382.86567164179[/C][/ROW]
[ROW][C]47[/C][C]39992[/C][C]64960.8656716418[/C][C]-24968.8656716418[/C][/ROW]
[ROW][C]48[/C][C]79892[/C][C]64960.8656716418[/C][C]14931.1343283582[/C][/ROW]
[ROW][C]49[/C][C]49810[/C][C]64960.8656716418[/C][C]-15150.8656716418[/C][/ROW]
[ROW][C]50[/C][C]71570[/C][C]29635.0967741935[/C][C]41934.9032258065[/C][/ROW]
[ROW][C]51[/C][C]100708[/C][C]88476.6388888889[/C][C]12231.3611111111[/C][/ROW]
[ROW][C]52[/C][C]33032[/C][C]29635.0967741935[/C][C]3396.90322580645[/C][/ROW]
[ROW][C]53[/C][C]82875[/C][C]106666.875[/C][C]-23791.875[/C][/ROW]
[ROW][C]54[/C][C]139077[/C][C]106666.875[/C][C]32410.125[/C][/ROW]
[ROW][C]55[/C][C]71595[/C][C]64960.8656716418[/C][C]6634.13432835821[/C][/ROW]
[ROW][C]56[/C][C]72260[/C][C]64960.8656716418[/C][C]7299.13432835821[/C][/ROW]
[ROW][C]57[/C][C]5950[/C][C]6630.86956521739[/C][C]-680.869565217391[/C][/ROW]
[ROW][C]58[/C][C]115762[/C][C]106666.875[/C][C]9095.125[/C][/ROW]
[ROW][C]59[/C][C]32551[/C][C]29635.0967741935[/C][C]2915.90322580645[/C][/ROW]
[ROW][C]60[/C][C]31701[/C][C]29635.0967741935[/C][C]2065.90322580645[/C][/ROW]
[ROW][C]61[/C][C]80670[/C][C]88476.6388888889[/C][C]-7806.63888888889[/C][/ROW]
[ROW][C]62[/C][C]143558[/C][C]106666.875[/C][C]36891.125[/C][/ROW]
[ROW][C]63[/C][C]117105[/C][C]106666.875[/C][C]10438.125[/C][/ROW]
[ROW][C]64[/C][C]23789[/C][C]29635.0967741935[/C][C]-5846.09677419355[/C][/ROW]
[ROW][C]65[/C][C]120733[/C][C]143135.285714286[/C][C]-22402.2857142857[/C][/ROW]
[ROW][C]66[/C][C]105195[/C][C]106666.875[/C][C]-1471.875[/C][/ROW]
[ROW][C]67[/C][C]73107[/C][C]88476.6388888889[/C][C]-15369.6388888889[/C][/ROW]
[ROW][C]68[/C][C]132068[/C][C]106666.875[/C][C]25401.125[/C][/ROW]
[ROW][C]69[/C][C]149193[/C][C]143135.285714286[/C][C]6057.71428571429[/C][/ROW]
[ROW][C]70[/C][C]46821[/C][C]64960.8656716418[/C][C]-18139.8656716418[/C][/ROW]
[ROW][C]71[/C][C]87011[/C][C]88476.6388888889[/C][C]-1465.63888888889[/C][/ROW]
[ROW][C]72[/C][C]95260[/C][C]88476.6388888889[/C][C]6783.36111111111[/C][/ROW]
[ROW][C]73[/C][C]55183[/C][C]64960.8656716418[/C][C]-9777.86567164179[/C][/ROW]
[ROW][C]74[/C][C]106671[/C][C]64960.8656716418[/C][C]41710.1343283582[/C][/ROW]
[ROW][C]75[/C][C]73511[/C][C]88476.6388888889[/C][C]-14965.6388888889[/C][/ROW]
[ROW][C]76[/C][C]92945[/C][C]106666.875[/C][C]-13721.875[/C][/ROW]
[ROW][C]77[/C][C]78664[/C][C]64960.8656716418[/C][C]13703.1343283582[/C][/ROW]
[ROW][C]78[/C][C]70054[/C][C]64960.8656716418[/C][C]5093.13432835821[/C][/ROW]
[ROW][C]79[/C][C]22618[/C][C]54303.75[/C][C]-31685.75[/C][/ROW]
[ROW][C]80[/C][C]74011[/C][C]88476.6388888889[/C][C]-14465.6388888889[/C][/ROW]
[ROW][C]81[/C][C]83737[/C][C]64960.8656716418[/C][C]18776.1343283582[/C][/ROW]
[ROW][C]82[/C][C]69094[/C][C]64960.8656716418[/C][C]4133.13432835821[/C][/ROW]
[ROW][C]83[/C][C]93133[/C][C]88476.6388888889[/C][C]4656.36111111111[/C][/ROW]
[ROW][C]84[/C][C]95536[/C][C]106666.875[/C][C]-11130.875[/C][/ROW]
[ROW][C]85[/C][C]225920[/C][C]88476.6388888889[/C][C]137443.361111111[/C][/ROW]
[ROW][C]86[/C][C]62133[/C][C]64960.8656716418[/C][C]-2827.86567164179[/C][/ROW]
[ROW][C]87[/C][C]61370[/C][C]64960.8656716418[/C][C]-3590.86567164179[/C][/ROW]
[ROW][C]88[/C][C]43836[/C][C]29635.0967741935[/C][C]14200.9032258065[/C][/ROW]
[ROW][C]89[/C][C]106117[/C][C]88476.6388888889[/C][C]17640.3611111111[/C][/ROW]
[ROW][C]90[/C][C]38692[/C][C]45131.8571428571[/C][C]-6439.85714285714[/C][/ROW]
[ROW][C]91[/C][C]84651[/C][C]106666.875[/C][C]-22015.875[/C][/ROW]
[ROW][C]92[/C][C]56622[/C][C]64960.8656716418[/C][C]-8338.86567164179[/C][/ROW]
[ROW][C]93[/C][C]15986[/C][C]29635.0967741935[/C][C]-13649.0967741935[/C][/ROW]
[ROW][C]94[/C][C]95364[/C][C]64960.8656716418[/C][C]30403.1343283582[/C][/ROW]
[ROW][C]95[/C][C]26706[/C][C]29635.0967741935[/C][C]-2929.09677419355[/C][/ROW]
[ROW][C]96[/C][C]89691[/C][C]88476.6388888889[/C][C]1214.36111111111[/C][/ROW]
[ROW][C]97[/C][C]67267[/C][C]88476.6388888889[/C][C]-21209.6388888889[/C][/ROW]
[ROW][C]98[/C][C]126846[/C][C]106666.875[/C][C]20179.125[/C][/ROW]
[ROW][C]99[/C][C]41140[/C][C]88476.6388888889[/C][C]-47336.6388888889[/C][/ROW]
[ROW][C]100[/C][C]102860[/C][C]106666.875[/C][C]-3806.875[/C][/ROW]
[ROW][C]101[/C][C]51715[/C][C]64960.8656716418[/C][C]-13245.8656716418[/C][/ROW]
[ROW][C]102[/C][C]55801[/C][C]88476.6388888889[/C][C]-32675.6388888889[/C][/ROW]
[ROW][C]103[/C][C]111813[/C][C]88476.6388888889[/C][C]23336.3611111111[/C][/ROW]
[ROW][C]104[/C][C]120293[/C][C]64960.8656716418[/C][C]55332.1343283582[/C][/ROW]
[ROW][C]105[/C][C]138599[/C][C]106666.875[/C][C]31932.125[/C][/ROW]
[ROW][C]106[/C][C]161647[/C][C]143135.285714286[/C][C]18511.7142857143[/C][/ROW]
[ROW][C]107[/C][C]115929[/C][C]106666.875[/C][C]9262.125[/C][/ROW]
[ROW][C]108[/C][C]24266[/C][C]29635.0967741935[/C][C]-5369.09677419355[/C][/ROW]
[ROW][C]109[/C][C]162901[/C][C]143135.285714286[/C][C]19765.7142857143[/C][/ROW]
[ROW][C]110[/C][C]109825[/C][C]88476.6388888889[/C][C]21348.3611111111[/C][/ROW]
[ROW][C]111[/C][C]129838[/C][C]106666.875[/C][C]23171.125[/C][/ROW]
[ROW][C]112[/C][C]37510[/C][C]45131.8571428571[/C][C]-7621.85714285714[/C][/ROW]
[ROW][C]113[/C][C]43750[/C][C]25252[/C][C]18498[/C][/ROW]
[ROW][C]114[/C][C]40652[/C][C]64960.8656716418[/C][C]-24308.8656716418[/C][/ROW]
[ROW][C]115[/C][C]87771[/C][C]106666.875[/C][C]-18895.875[/C][/ROW]
[ROW][C]116[/C][C]85872[/C][C]88476.6388888889[/C][C]-2604.63888888889[/C][/ROW]
[ROW][C]117[/C][C]89275[/C][C]88476.6388888889[/C][C]798.361111111109[/C][/ROW]
[ROW][C]118[/C][C]44418[/C][C]88476.6388888889[/C][C]-44058.6388888889[/C][/ROW]
[ROW][C]119[/C][C]192565[/C][C]64960.8656716418[/C][C]127604.134328358[/C][/ROW]
[ROW][C]120[/C][C]35232[/C][C]29635.0967741935[/C][C]5596.90322580645[/C][/ROW]
[ROW][C]121[/C][C]40909[/C][C]64960.8656716418[/C][C]-24051.8656716418[/C][/ROW]
[ROW][C]122[/C][C]13294[/C][C]29635.0967741935[/C][C]-16341.0967741935[/C][/ROW]
[ROW][C]123[/C][C]32387[/C][C]64960.8656716418[/C][C]-32573.8656716418[/C][/ROW]
[ROW][C]124[/C][C]140867[/C][C]64960.8656716418[/C][C]75906.1343283582[/C][/ROW]
[ROW][C]125[/C][C]120662[/C][C]88476.6388888889[/C][C]32185.3611111111[/C][/ROW]
[ROW][C]126[/C][C]21233[/C][C]29635.0967741935[/C][C]-8402.09677419355[/C][/ROW]
[ROW][C]127[/C][C]44332[/C][C]29635.0967741935[/C][C]14696.9032258065[/C][/ROW]
[ROW][C]128[/C][C]61056[/C][C]64960.8656716418[/C][C]-3904.86567164179[/C][/ROW]
[ROW][C]129[/C][C]101338[/C][C]106666.875[/C][C]-5328.875[/C][/ROW]
[ROW][C]130[/C][C]1168[/C][C]6630.86956521739[/C][C]-5462.86956521739[/C][/ROW]
[ROW][C]131[/C][C]13497[/C][C]6630.86956521739[/C][C]6866.13043478261[/C][/ROW]
[ROW][C]132[/C][C]65567[/C][C]64960.8656716418[/C][C]606.13432835821[/C][/ROW]
[ROW][C]133[/C][C]25162[/C][C]29635.0967741935[/C][C]-4473.09677419355[/C][/ROW]
[ROW][C]134[/C][C]32334[/C][C]29635.0967741935[/C][C]2698.90322580645[/C][/ROW]
[ROW][C]135[/C][C]40735[/C][C]64960.8656716418[/C][C]-24225.8656716418[/C][/ROW]
[ROW][C]136[/C][C]91413[/C][C]143135.285714286[/C][C]-51722.2857142857[/C][/ROW]
[ROW][C]137[/C][C]855[/C][C]6630.86956521739[/C][C]-5775.86956521739[/C][/ROW]
[ROW][C]138[/C][C]97068[/C][C]88476.6388888889[/C][C]8591.36111111111[/C][/ROW]
[ROW][C]139[/C][C]44339[/C][C]25252[/C][C]19087[/C][/ROW]
[ROW][C]140[/C][C]14116[/C][C]25252[/C][C]-11136[/C][/ROW]
[ROW][C]141[/C][C]10288[/C][C]6630.86956521739[/C][C]3657.13043478261[/C][/ROW]
[ROW][C]142[/C][C]65622[/C][C]64960.8656716418[/C][C]661.13432835821[/C][/ROW]
[ROW][C]143[/C][C]16563[/C][C]29635.0967741935[/C][C]-13072.0967741935[/C][/ROW]
[ROW][C]144[/C][C]76643[/C][C]88476.6388888889[/C][C]-11833.6388888889[/C][/ROW]
[ROW][C]145[/C][C]110681[/C][C]88476.6388888889[/C][C]22204.3611111111[/C][/ROW]
[ROW][C]146[/C][C]29011[/C][C]29635.0967741935[/C][C]-624.096774193549[/C][/ROW]
[ROW][C]147[/C][C]92696[/C][C]54303.75[/C][C]38392.25[/C][/ROW]
[ROW][C]148[/C][C]94785[/C][C]64960.8656716418[/C][C]29824.1343283582[/C][/ROW]
[ROW][C]149[/C][C]8773[/C][C]6630.86956521739[/C][C]2142.13043478261[/C][/ROW]
[ROW][C]150[/C][C]83209[/C][C]64960.8656716418[/C][C]18248.1343283582[/C][/ROW]
[ROW][C]151[/C][C]93815[/C][C]106666.875[/C][C]-12851.875[/C][/ROW]
[ROW][C]152[/C][C]86687[/C][C]106666.875[/C][C]-19979.875[/C][/ROW]
[ROW][C]153[/C][C]34553[/C][C]29635.0967741935[/C][C]4917.90322580645[/C][/ROW]
[ROW][C]154[/C][C]105547[/C][C]106666.875[/C][C]-1119.875[/C][/ROW]
[ROW][C]155[/C][C]103487[/C][C]106666.875[/C][C]-3179.875[/C][/ROW]
[ROW][C]156[/C][C]213688[/C][C]143135.285714286[/C][C]70552.7142857143[/C][/ROW]
[ROW][C]157[/C][C]71220[/C][C]64960.8656716418[/C][C]6259.13432835821[/C][/ROW]
[ROW][C]158[/C][C]23517[/C][C]29635.0967741935[/C][C]-6118.09677419355[/C][/ROW]
[ROW][C]159[/C][C]56926[/C][C]29635.0967741935[/C][C]27290.9032258065[/C][/ROW]
[ROW][C]160[/C][C]91721[/C][C]88476.6388888889[/C][C]3244.36111111111[/C][/ROW]
[ROW][C]161[/C][C]115168[/C][C]106666.875[/C][C]8501.125[/C][/ROW]
[ROW][C]162[/C][C]111194[/C][C]54303.75[/C][C]56890.25[/C][/ROW]
[ROW][C]163[/C][C]51009[/C][C]64960.8656716418[/C][C]-13951.8656716418[/C][/ROW]
[ROW][C]164[/C][C]135777[/C][C]106666.875[/C][C]29110.125[/C][/ROW]
[ROW][C]165[/C][C]51513[/C][C]64960.8656716418[/C][C]-13447.8656716418[/C][/ROW]
[ROW][C]166[/C][C]74163[/C][C]88476.6388888889[/C][C]-14313.6388888889[/C][/ROW]
[ROW][C]167[/C][C]51633[/C][C]64960.8656716418[/C][C]-13327.8656716418[/C][/ROW]
[ROW][C]168[/C][C]75345[/C][C]64960.8656716418[/C][C]10384.1343283582[/C][/ROW]
[ROW][C]169[/C][C]33416[/C][C]64960.8656716418[/C][C]-31544.8656716418[/C][/ROW]
[ROW][C]170[/C][C]83305[/C][C]45131.8571428571[/C][C]38173.1428571429[/C][/ROW]
[ROW][C]171[/C][C]98952[/C][C]88476.6388888889[/C][C]10475.3611111111[/C][/ROW]
[ROW][C]172[/C][C]102372[/C][C]143135.285714286[/C][C]-40763.2857142857[/C][/ROW]
[ROW][C]173[/C][C]37238[/C][C]45131.8571428571[/C][C]-7893.85714285714[/C][/ROW]
[ROW][C]174[/C][C]103772[/C][C]106666.875[/C][C]-2894.875[/C][/ROW]
[ROW][C]175[/C][C]123969[/C][C]64960.8656716418[/C][C]59008.1343283582[/C][/ROW]
[ROW][C]176[/C][C]27142[/C][C]29635.0967741935[/C][C]-2493.09677419355[/C][/ROW]
[ROW][C]177[/C][C]135400[/C][C]106666.875[/C][C]28733.125[/C][/ROW]
[ROW][C]178[/C][C]21399[/C][C]29635.0967741935[/C][C]-8236.09677419355[/C][/ROW]
[ROW][C]179[/C][C]130115[/C][C]106666.875[/C][C]23448.125[/C][/ROW]
[ROW][C]180[/C][C]24874[/C][C]29635.0967741935[/C][C]-4761.09677419355[/C][/ROW]
[ROW][C]181[/C][C]34988[/C][C]29635.0967741935[/C][C]5352.90322580645[/C][/ROW]
[ROW][C]182[/C][C]45549[/C][C]29635.0967741935[/C][C]15913.9032258065[/C][/ROW]
[ROW][C]183[/C][C]6023[/C][C]6630.86956521739[/C][C]-607.869565217391[/C][/ROW]
[ROW][C]184[/C][C]64466[/C][C]64960.8656716418[/C][C]-494.86567164179[/C][/ROW]
[ROW][C]185[/C][C]54990[/C][C]106666.875[/C][C]-51676.875[/C][/ROW]
[ROW][C]186[/C][C]1644[/C][C]6630.86956521739[/C][C]-4986.86956521739[/C][/ROW]
[ROW][C]187[/C][C]6179[/C][C]6630.86956521739[/C][C]-451.869565217391[/C][/ROW]
[ROW][C]188[/C][C]3926[/C][C]6630.86956521739[/C][C]-2704.86956521739[/C][/ROW]
[ROW][C]189[/C][C]32755[/C][C]64960.8656716418[/C][C]-32205.8656716418[/C][/ROW]
[ROW][C]190[/C][C]34777[/C][C]29635.0967741935[/C][C]5141.90322580645[/C][/ROW]
[ROW][C]191[/C][C]73224[/C][C]64960.8656716418[/C][C]8263.13432835821[/C][/ROW]
[ROW][C]192[/C][C]27114[/C][C]29635.0967741935[/C][C]-2521.09677419355[/C][/ROW]
[ROW][C]193[/C][C]20760[/C][C]29635.0967741935[/C][C]-8875.09677419355[/C][/ROW]
[ROW][C]194[/C][C]37636[/C][C]54303.75[/C][C]-16667.75[/C][/ROW]
[ROW][C]195[/C][C]65461[/C][C]64960.8656716418[/C][C]500.13432835821[/C][/ROW]
[ROW][C]196[/C][C]30080[/C][C]64960.8656716418[/C][C]-34880.8656716418[/C][/ROW]
[ROW][C]197[/C][C]24094[/C][C]29635.0967741935[/C][C]-5541.09677419355[/C][/ROW]
[ROW][C]198[/C][C]69008[/C][C]64960.8656716418[/C][C]4047.13432835821[/C][/ROW]
[ROW][C]199[/C][C]54968[/C][C]64960.8656716418[/C][C]-9992.86567164179[/C][/ROW]
[ROW][C]200[/C][C]46090[/C][C]64960.8656716418[/C][C]-18870.8656716418[/C][/ROW]
[ROW][C]201[/C][C]27507[/C][C]29635.0967741935[/C][C]-2128.09677419355[/C][/ROW]
[ROW][C]202[/C][C]10672[/C][C]25252[/C][C]-14580[/C][/ROW]
[ROW][C]203[/C][C]34029[/C][C]29635.0967741935[/C][C]4393.90322580645[/C][/ROW]
[ROW][C]204[/C][C]46300[/C][C]29635.0967741935[/C][C]16664.9032258065[/C][/ROW]
[ROW][C]205[/C][C]24760[/C][C]29635.0967741935[/C][C]-4875.09677419355[/C][/ROW]
[ROW][C]206[/C][C]18779[/C][C]6630.86956521739[/C][C]12148.1304347826[/C][/ROW]
[ROW][C]207[/C][C]21280[/C][C]29635.0967741935[/C][C]-8355.09677419355[/C][/ROW]
[ROW][C]208[/C][C]40662[/C][C]45131.8571428571[/C][C]-4469.85714285714[/C][/ROW]
[ROW][C]209[/C][C]28987[/C][C]29635.0967741935[/C][C]-648.096774193549[/C][/ROW]
[ROW][C]210[/C][C]22827[/C][C]29635.0967741935[/C][C]-6808.09677419355[/C][/ROW]
[ROW][C]211[/C][C]18513[/C][C]29635.0967741935[/C][C]-11122.0967741935[/C][/ROW]
[ROW][C]212[/C][C]30594[/C][C]29635.0967741935[/C][C]958.903225806451[/C][/ROW]
[ROW][C]213[/C][C]24006[/C][C]29635.0967741935[/C][C]-5629.09677419355[/C][/ROW]
[ROW][C]214[/C][C]27913[/C][C]29635.0967741935[/C][C]-1722.09677419355[/C][/ROW]
[ROW][C]215[/C][C]42744[/C][C]54303.75[/C][C]-11559.75[/C][/ROW]
[ROW][C]216[/C][C]12934[/C][C]29635.0967741935[/C][C]-16701.0967741935[/C][/ROW]
[ROW][C]217[/C][C]22574[/C][C]29635.0967741935[/C][C]-7061.09677419355[/C][/ROW]
[ROW][C]218[/C][C]41385[/C][C]54303.75[/C][C]-12918.75[/C][/ROW]
[ROW][C]219[/C][C]18653[/C][C]29635.0967741935[/C][C]-10982.0967741935[/C][/ROW]
[ROW][C]220[/C][C]18472[/C][C]29635.0967741935[/C][C]-11163.0967741935[/C][/ROW]
[ROW][C]221[/C][C]30976[/C][C]29635.0967741935[/C][C]1340.90322580645[/C][/ROW]
[ROW][C]222[/C][C]63339[/C][C]54303.75[/C][C]9035.25[/C][/ROW]
[ROW][C]223[/C][C]25568[/C][C]64960.8656716418[/C][C]-39392.8656716418[/C][/ROW]
[ROW][C]224[/C][C]33747[/C][C]29635.0967741935[/C][C]4111.90322580645[/C][/ROW]
[ROW][C]225[/C][C]4154[/C][C]6630.86956521739[/C][C]-2476.86956521739[/C][/ROW]
[ROW][C]226[/C][C]19474[/C][C]64960.8656716418[/C][C]-45486.8656716418[/C][/ROW]
[ROW][C]227[/C][C]35130[/C][C]29635.0967741935[/C][C]5494.90322580645[/C][/ROW]
[ROW][C]228[/C][C]39067[/C][C]64960.8656716418[/C][C]-25893.8656716418[/C][/ROW]
[ROW][C]229[/C][C]13310[/C][C]29635.0967741935[/C][C]-16325.0967741935[/C][/ROW]
[ROW][C]230[/C][C]65892[/C][C]29635.0967741935[/C][C]36256.9032258065[/C][/ROW]
[ROW][C]231[/C][C]4143[/C][C]6630.86956521739[/C][C]-2487.86956521739[/C][/ROW]
[ROW][C]232[/C][C]28579[/C][C]29635.0967741935[/C][C]-1056.09677419355[/C][/ROW]
[ROW][C]233[/C][C]51776[/C][C]29635.0967741935[/C][C]22140.9032258065[/C][/ROW]
[ROW][C]234[/C][C]21152[/C][C]29635.0967741935[/C][C]-8483.09677419355[/C][/ROW]
[ROW][C]235[/C][C]38084[/C][C]29635.0967741935[/C][C]8448.90322580645[/C][/ROW]
[ROW][C]236[/C][C]27717[/C][C]29635.0967741935[/C][C]-1918.09677419355[/C][/ROW]
[ROW][C]237[/C][C]32928[/C][C]45131.8571428571[/C][C]-12203.8571428571[/C][/ROW]
[ROW][C]238[/C][C]11342[/C][C]25252[/C][C]-13910[/C][/ROW]
[ROW][C]239[/C][C]19499[/C][C]29635.0967741935[/C][C]-10136.0967741935[/C][/ROW]
[ROW][C]240[/C][C]16380[/C][C]25252[/C][C]-8872[/C][/ROW]
[ROW][C]241[/C][C]36874[/C][C]29635.0967741935[/C][C]7238.90322580645[/C][/ROW]
[ROW][C]242[/C][C]48259[/C][C]64960.8656716418[/C][C]-16701.8656716418[/C][/ROW]
[ROW][C]243[/C][C]16734[/C][C]29635.0967741935[/C][C]-12901.0967741935[/C][/ROW]
[ROW][C]244[/C][C]28207[/C][C]29635.0967741935[/C][C]-1428.09677419355[/C][/ROW]
[ROW][C]245[/C][C]30143[/C][C]29635.0967741935[/C][C]507.903225806451[/C][/ROW]
[ROW][C]246[/C][C]41369[/C][C]29635.0967741935[/C][C]11733.9032258065[/C][/ROW]
[ROW][C]247[/C][C]45833[/C][C]64960.8656716418[/C][C]-19127.8656716418[/C][/ROW]
[ROW][C]248[/C][C]29156[/C][C]29635.0967741935[/C][C]-479.096774193549[/C][/ROW]
[ROW][C]249[/C][C]35944[/C][C]29635.0967741935[/C][C]6308.90322580645[/C][/ROW]
[ROW][C]250[/C][C]36278[/C][C]25252[/C][C]11026[/C][/ROW]
[ROW][C]251[/C][C]45588[/C][C]45131.8571428571[/C][C]456.142857142855[/C][/ROW]
[ROW][C]252[/C][C]45097[/C][C]64960.8656716418[/C][C]-19863.8656716418[/C][/ROW]
[ROW][C]253[/C][C]3895[/C][C]6630.86956521739[/C][C]-2735.86956521739[/C][/ROW]
[ROW][C]254[/C][C]28394[/C][C]29635.0967741935[/C][C]-1241.09677419355[/C][/ROW]
[ROW][C]255[/C][C]18632[/C][C]29635.0967741935[/C][C]-11003.0967741935[/C][/ROW]
[ROW][C]256[/C][C]2325[/C][C]6630.86956521739[/C][C]-4305.86956521739[/C][/ROW]
[ROW][C]257[/C][C]25139[/C][C]25252[/C][C]-113[/C][/ROW]
[ROW][C]258[/C][C]27975[/C][C]29635.0967741935[/C][C]-1660.09677419355[/C][/ROW]
[ROW][C]259[/C][C]14483[/C][C]29635.0967741935[/C][C]-15152.0967741935[/C][/ROW]
[ROW][C]260[/C][C]13127[/C][C]6630.86956521739[/C][C]6496.13043478261[/C][/ROW]
[ROW][C]261[/C][C]5839[/C][C]6630.86956521739[/C][C]-791.869565217391[/C][/ROW]
[ROW][C]262[/C][C]24069[/C][C]29635.0967741935[/C][C]-5566.09677419355[/C][/ROW]
[ROW][C]263[/C][C]3738[/C][C]6630.86956521739[/C][C]-2892.86956521739[/C][/ROW]
[ROW][C]264[/C][C]18625[/C][C]29635.0967741935[/C][C]-11010.0967741935[/C][/ROW]
[ROW][C]265[/C][C]36341[/C][C]29635.0967741935[/C][C]6705.90322580645[/C][/ROW]
[ROW][C]266[/C][C]24548[/C][C]29635.0967741935[/C][C]-5087.09677419355[/C][/ROW]
[ROW][C]267[/C][C]21792[/C][C]29635.0967741935[/C][C]-7843.09677419355[/C][/ROW]
[ROW][C]268[/C][C]26263[/C][C]29635.0967741935[/C][C]-3372.09677419355[/C][/ROW]
[ROW][C]269[/C][C]23686[/C][C]29635.0967741935[/C][C]-5949.09677419355[/C][/ROW]
[ROW][C]270[/C][C]49303[/C][C]64960.8656716418[/C][C]-15657.8656716418[/C][/ROW]
[ROW][C]271[/C][C]25659[/C][C]29635.0967741935[/C][C]-3976.09677419355[/C][/ROW]
[ROW][C]272[/C][C]28904[/C][C]29635.0967741935[/C][C]-731.096774193549[/C][/ROW]
[ROW][C]273[/C][C]2781[/C][C]6630.86956521739[/C][C]-3849.86956521739[/C][/ROW]
[ROW][C]274[/C][C]29236[/C][C]29635.0967741935[/C][C]-399.096774193549[/C][/ROW]
[ROW][C]275[/C][C]19546[/C][C]29635.0967741935[/C][C]-10089.0967741935[/C][/ROW]
[ROW][C]276[/C][C]22818[/C][C]54303.75[/C][C]-31485.75[/C][/ROW]
[ROW][C]277[/C][C]32689[/C][C]29635.0967741935[/C][C]3053.90322580645[/C][/ROW]
[ROW][C]278[/C][C]5752[/C][C]6630.86956521739[/C][C]-878.869565217391[/C][/ROW]
[ROW][C]279[/C][C]22197[/C][C]29635.0967741935[/C][C]-7438.09677419355[/C][/ROW]
[ROW][C]280[/C][C]20055[/C][C]29635.0967741935[/C][C]-9580.09677419355[/C][/ROW]
[ROW][C]281[/C][C]25272[/C][C]29635.0967741935[/C][C]-4363.09677419355[/C][/ROW]
[ROW][C]282[/C][C]82206[/C][C]29635.0967741935[/C][C]52570.9032258065[/C][/ROW]
[ROW][C]283[/C][C]32073[/C][C]29635.0967741935[/C][C]2437.90322580645[/C][/ROW]
[ROW][C]284[/C][C]5444[/C][C]6630.86956521739[/C][C]-1186.86956521739[/C][/ROW]
[ROW][C]285[/C][C]20154[/C][C]29635.0967741935[/C][C]-9481.09677419355[/C][/ROW]
[ROW][C]286[/C][C]36944[/C][C]29635.0967741935[/C][C]7308.90322580645[/C][/ROW]
[ROW][C]287[/C][C]8019[/C][C]29635.0967741935[/C][C]-21616.0967741935[/C][/ROW]
[ROW][C]288[/C][C]30884[/C][C]64960.8656716418[/C][C]-34076.8656716418[/C][/ROW]
[ROW][C]289[/C][C]19540[/C][C]29635.0967741935[/C][C]-10095.0967741935[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197238&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197238&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
1112285106666.8755618.125
28478664960.865671641819825.1343283582
38312364960.865671641818162.1343283582
4101193106666.875-5473.875
53836164960.8656716418-26599.8656716418
66850429635.096774193538868.9032258065
7119182106666.87512515.125
8228076630.8695652173916176.1304347826
91714029635.0967741935-12495.0967741935
1011617464960.865671641851213.1343283582
115763564960.8656716418-7325.86567164179
1266198106666.875-40468.875
137170164960.86567164186740.13432835821
145779364960.8656716418-7167.86567164179
1580444106666.875-26222.875
165385564960.8656716418-11105.8656716418
1797668106666.875-8998.875
18133824106666.87527157.125
1910148188476.638888888913004.3611111111
2099645106666.875-7021.875
21114789106666.8758122.125
2299052106666.875-7614.875
236765488476.6388888889-20822.6388888889
246555364960.8656716418592.13432835821
259750064960.865671641832539.1343283582
266911264960.86567164184151.13432835821
278275364960.865671641817792.1343283582
288532388476.6388888889-3153.63888888889
297265488476.6388888889-15822.6388888889
303072764960.8656716418-34233.8656716418
317787388476.6388888889-10603.6388888889
3211747888476.638888888929001.3611111111
3374007106666.875-32659.875
3490183106666.875-16483.875
356154229635.096774193531906.9032258065
36101494106666.875-5172.875
372757029635.0967741935-2065.09677419355
385581388476.6388888889-32663.6388888889
397921588476.6388888889-9261.63888888889
4014236630.86956521739-5207.86956521739
415546164960.8656716418-9499.86567164179
423108129635.09677419351445.90322580645
432299629635.0967741935-6639.09677419355
448312288476.6388888889-5354.63888888889
457010688476.6388888889-18370.6388888889
466057864960.8656716418-4382.86567164179
473999264960.8656716418-24968.8656716418
487989264960.865671641814931.1343283582
494981064960.8656716418-15150.8656716418
507157029635.096774193541934.9032258065
5110070888476.638888888912231.3611111111
523303229635.09677419353396.90322580645
5382875106666.875-23791.875
54139077106666.87532410.125
557159564960.86567164186634.13432835821
567226064960.86567164187299.13432835821
5759506630.86956521739-680.869565217391
58115762106666.8759095.125
593255129635.09677419352915.90322580645
603170129635.09677419352065.90322580645
618067088476.6388888889-7806.63888888889
62143558106666.87536891.125
63117105106666.87510438.125
642378929635.0967741935-5846.09677419355
65120733143135.285714286-22402.2857142857
66105195106666.875-1471.875
677310788476.6388888889-15369.6388888889
68132068106666.87525401.125
69149193143135.2857142866057.71428571429
704682164960.8656716418-18139.8656716418
718701188476.6388888889-1465.63888888889
729526088476.63888888896783.36111111111
735518364960.8656716418-9777.86567164179
7410667164960.865671641841710.1343283582
757351188476.6388888889-14965.6388888889
7692945106666.875-13721.875
777866464960.865671641813703.1343283582
787005464960.86567164185093.13432835821
792261854303.75-31685.75
807401188476.6388888889-14465.6388888889
818373764960.865671641818776.1343283582
826909464960.86567164184133.13432835821
839313388476.63888888894656.36111111111
8495536106666.875-11130.875
8522592088476.6388888889137443.361111111
866213364960.8656716418-2827.86567164179
876137064960.8656716418-3590.86567164179
884383629635.096774193514200.9032258065
8910611788476.638888888917640.3611111111
903869245131.8571428571-6439.85714285714
9184651106666.875-22015.875
925662264960.8656716418-8338.86567164179
931598629635.0967741935-13649.0967741935
949536464960.865671641830403.1343283582
952670629635.0967741935-2929.09677419355
968969188476.63888888891214.36111111111
976726788476.6388888889-21209.6388888889
98126846106666.87520179.125
994114088476.6388888889-47336.6388888889
100102860106666.875-3806.875
1015171564960.8656716418-13245.8656716418
1025580188476.6388888889-32675.6388888889
10311181388476.638888888923336.3611111111
10412029364960.865671641855332.1343283582
105138599106666.87531932.125
106161647143135.28571428618511.7142857143
107115929106666.8759262.125
1082426629635.0967741935-5369.09677419355
109162901143135.28571428619765.7142857143
11010982588476.638888888921348.3611111111
111129838106666.87523171.125
1123751045131.8571428571-7621.85714285714
113437502525218498
1144065264960.8656716418-24308.8656716418
11587771106666.875-18895.875
1168587288476.6388888889-2604.63888888889
1178927588476.6388888889798.361111111109
1184441888476.6388888889-44058.6388888889
11919256564960.8656716418127604.134328358
1203523229635.09677419355596.90322580645
1214090964960.8656716418-24051.8656716418
1221329429635.0967741935-16341.0967741935
1233238764960.8656716418-32573.8656716418
12414086764960.865671641875906.1343283582
12512066288476.638888888932185.3611111111
1262123329635.0967741935-8402.09677419355
1274433229635.096774193514696.9032258065
1286105664960.8656716418-3904.86567164179
129101338106666.875-5328.875
13011686630.86956521739-5462.86956521739
131134976630.869565217396866.13043478261
1326556764960.8656716418606.13432835821
1332516229635.0967741935-4473.09677419355
1343233429635.09677419352698.90322580645
1354073564960.8656716418-24225.8656716418
13691413143135.285714286-51722.2857142857
1378556630.86956521739-5775.86956521739
1389706888476.63888888898591.36111111111
139443392525219087
1401411625252-11136
141102886630.869565217393657.13043478261
1426562264960.8656716418661.13432835821
1431656329635.0967741935-13072.0967741935
1447664388476.6388888889-11833.6388888889
14511068188476.638888888922204.3611111111
1462901129635.0967741935-624.096774193549
1479269654303.7538392.25
1489478564960.865671641829824.1343283582
14987736630.869565217392142.13043478261
1508320964960.865671641818248.1343283582
15193815106666.875-12851.875
15286687106666.875-19979.875
1533455329635.09677419354917.90322580645
154105547106666.875-1119.875
155103487106666.875-3179.875
156213688143135.28571428670552.7142857143
1577122064960.86567164186259.13432835821
1582351729635.0967741935-6118.09677419355
1595692629635.096774193527290.9032258065
1609172188476.63888888893244.36111111111
161115168106666.8758501.125
16211119454303.7556890.25
1635100964960.8656716418-13951.8656716418
164135777106666.87529110.125
1655151364960.8656716418-13447.8656716418
1667416388476.6388888889-14313.6388888889
1675163364960.8656716418-13327.8656716418
1687534564960.865671641810384.1343283582
1693341664960.8656716418-31544.8656716418
1708330545131.857142857138173.1428571429
1719895288476.638888888910475.3611111111
172102372143135.285714286-40763.2857142857
1733723845131.8571428571-7893.85714285714
174103772106666.875-2894.875
17512396964960.865671641859008.1343283582
1762714229635.0967741935-2493.09677419355
177135400106666.87528733.125
1782139929635.0967741935-8236.09677419355
179130115106666.87523448.125
1802487429635.0967741935-4761.09677419355
1813498829635.09677419355352.90322580645
1824554929635.096774193515913.9032258065
18360236630.86956521739-607.869565217391
1846446664960.8656716418-494.86567164179
18554990106666.875-51676.875
18616446630.86956521739-4986.86956521739
18761796630.86956521739-451.869565217391
18839266630.86956521739-2704.86956521739
1893275564960.8656716418-32205.8656716418
1903477729635.09677419355141.90322580645
1917322464960.86567164188263.13432835821
1922711429635.0967741935-2521.09677419355
1932076029635.0967741935-8875.09677419355
1943763654303.75-16667.75
1956546164960.8656716418500.13432835821
1963008064960.8656716418-34880.8656716418
1972409429635.0967741935-5541.09677419355
1986900864960.86567164184047.13432835821
1995496864960.8656716418-9992.86567164179
2004609064960.8656716418-18870.8656716418
2012750729635.0967741935-2128.09677419355
2021067225252-14580
2033402929635.09677419354393.90322580645
2044630029635.096774193516664.9032258065
2052476029635.0967741935-4875.09677419355
206187796630.8695652173912148.1304347826
2072128029635.0967741935-8355.09677419355
2084066245131.8571428571-4469.85714285714
2092898729635.0967741935-648.096774193549
2102282729635.0967741935-6808.09677419355
2111851329635.0967741935-11122.0967741935
2123059429635.0967741935958.903225806451
2132400629635.0967741935-5629.09677419355
2142791329635.0967741935-1722.09677419355
2154274454303.75-11559.75
2161293429635.0967741935-16701.0967741935
2172257429635.0967741935-7061.09677419355
2184138554303.75-12918.75
2191865329635.0967741935-10982.0967741935
2201847229635.0967741935-11163.0967741935
2213097629635.09677419351340.90322580645
2226333954303.759035.25
2232556864960.8656716418-39392.8656716418
2243374729635.09677419354111.90322580645
22541546630.86956521739-2476.86956521739
2261947464960.8656716418-45486.8656716418
2273513029635.09677419355494.90322580645
2283906764960.8656716418-25893.8656716418
2291331029635.0967741935-16325.0967741935
2306589229635.096774193536256.9032258065
23141436630.86956521739-2487.86956521739
2322857929635.0967741935-1056.09677419355
2335177629635.096774193522140.9032258065
2342115229635.0967741935-8483.09677419355
2353808429635.09677419358448.90322580645
2362771729635.0967741935-1918.09677419355
2373292845131.8571428571-12203.8571428571
2381134225252-13910
2391949929635.0967741935-10136.0967741935
2401638025252-8872
2413687429635.09677419357238.90322580645
2424825964960.8656716418-16701.8656716418
2431673429635.0967741935-12901.0967741935
2442820729635.0967741935-1428.09677419355
2453014329635.0967741935507.903225806451
2464136929635.096774193511733.9032258065
2474583364960.8656716418-19127.8656716418
2482915629635.0967741935-479.096774193549
2493594429635.09677419356308.90322580645
250362782525211026
2514558845131.8571428571456.142857142855
2524509764960.8656716418-19863.8656716418
25338956630.86956521739-2735.86956521739
2542839429635.0967741935-1241.09677419355
2551863229635.0967741935-11003.0967741935
25623256630.86956521739-4305.86956521739
2572513925252-113
2582797529635.0967741935-1660.09677419355
2591448329635.0967741935-15152.0967741935
260131276630.869565217396496.13043478261
26158396630.86956521739-791.869565217391
2622406929635.0967741935-5566.09677419355
26337386630.86956521739-2892.86956521739
2641862529635.0967741935-11010.0967741935
2653634129635.09677419356705.90322580645
2662454829635.0967741935-5087.09677419355
2672179229635.0967741935-7843.09677419355
2682626329635.0967741935-3372.09677419355
2692368629635.0967741935-5949.09677419355
2704930364960.8656716418-15657.8656716418
2712565929635.0967741935-3976.09677419355
2722890429635.0967741935-731.096774193549
27327816630.86956521739-3849.86956521739
2742923629635.0967741935-399.096774193549
2751954629635.0967741935-10089.0967741935
2762281854303.75-31485.75
2773268929635.09677419353053.90322580645
27857526630.86956521739-878.869565217391
2792219729635.0967741935-7438.09677419355
2802005529635.0967741935-9580.09677419355
2812527229635.0967741935-4363.09677419355
2828220629635.096774193552570.9032258065
2833207329635.09677419352437.90322580645
28454446630.86956521739-1186.86956521739
2852015429635.0967741935-9481.09677419355
2863694429635.09677419357308.90322580645
287801929635.0967741935-21616.0967741935
2883088464960.8656716418-34076.8656716418
2891954029635.0967741935-10095.0967741935



Parameters (Session):
par1 = 4 ; par2 = none ; par3 = 3 ; par4 = no ;
Parameters (R input):
par1 = 4 ; 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')
}