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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, 09 Dec 2011 08:23:32 -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/09/t132343703988wsz1jhi7e66xw.htm/, Retrieved Fri, 10 May 2024 12:27:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=153339, Retrieved Fri, 10 May 2024 12:27:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160

Tree of Dependent Computations

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 20:21:33] [b98453cac15ba1066b407e146608df68]
- R PD    [Recursive Partitioning (Regression Trees)] [] [2011-12-09 13:23:32] [cd8b9934e81fda54a97eda68755efa21] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1418	210907	56	3	79	30	115	112285	24188
869	120982	56	4	58	28	109	84786	18273
1530	176508	54	12	60	38	146	83123	14130
2172	179321	89	2	108	30	116	101193	32287
901	123185	40	1	49	22	68	38361	8654
463	52746	25	3	0	26	101	68504	9245
3201	385534	92	0	121	25	96	119182	33251
371	33170	18	0	1	18	67	22807	1271
1192	101645	63	0	20	11	44	17140	5279
1583	149061	44	5	43	26	100	116174	27101
1439	165446	33	0	69	25	93	57635	16373
1764	237213	84	0	78	38	140	66198	19716
1495	173326	88	7	86	44	166	71701	17753
1373	133131	55	7	44	30	99	57793	9028
2187	258873	60	3	104	40	139	80444	18653
1491	180083	66	9	63	34	130	53855	8828
4041	324799	154	0	158	47	181	97668	29498
1706	230964	53	4	102	30	116	133824	27563
2152	236785	119	3	77	31	116	101481	18293
1036	135473	41	0	82	23	88	99645	22530
1882	202925	61	7	115	36	139	114789	15977
1929	215147	58	0	101	36	135	99052	35082
2242	344297	75	1	80	30	108	67654	16116
1220	153935	33	5	50	25	89	65553	15849
1289	132943	40	7	83	39	156	97500	16026
2515	174724	92	0	123	34	129	69112	26569
2147	174415	100	0	73	31	118	82753	24785
2352	225548	112	5	81	31	118	85323	17569
1638	223632	73	0	105	33	125	72654	23825
1222	124817	40	0	47	25	95	30727	7869
1812	221698	45	0	105	33	126	77873	14975
1677	210767	60	3	94	35	135	117478	37791
1579	170266	62	4	44	42	154	74007	9605
1731	260561	75	1	114	43	165	90183	27295
807	84853	31	4	38	30	113	61542	2746
2452	294424	77	2	107	33	127	101494	34461
829	101011	34	0	30	13	52	27570	8098
1940	215641	46	0	71	32	121	55813	4787
2662	325107	99	0	84	36	136	79215	24919
186	7176	17	0	0	0	0	1423	603
1499	167542	66	2	59	28	108	55461	16329
865	106408	30	1	33	14	46	31081	12558
1793	96560	76	0	42	17	54	22996	7784
2527	265769	146	2	96	32	124	83122	28522
2747	269651	67	10	106	30	115	70106	22265
1324	149112	56	6	56	35	128	60578	14459
2702	175824	107	0	57	20	80	39992	14526
1383	152871	58	5	59	28	97	79892	22240
1179	111665	34	4	39	28	104	49810	11802
2099	116408	61	1	34	39	59	71570	7623
4308	362301	119	2	76	34	125	100708	11912
918	78800	42	2	20	26	82	33032	7935
1831	183167	66	0	91	39	149	82875	18220
3373	277965	89	8	115	39	149	139077	19199
1713	150629	44	3	85	33	122	71595	19918
1438	168809	66	0	76	28	118	72260	21884
496	24188	24	0	8	4	12	5950	2694
2253	329267	259	8	79	39	144	115762	15808
744	65029	17	5	21	18	67	32551	3597
1161	101097	64	3	30	14	52	31701	5296
2352	218946	41	1	76	29	108	80670	25239
2144	244052	68	5	101	44	166	143558	29801
4691	341570	168	1	94	21	80	117105	18450
1112	103597	43	1	27	16	60	23789	7132
2694	233328	132	5	92	28	107	120733	34861
1973	256462	105	0	123	35	127	105195	35940
1769	206161	71	12	75	28	107	73107	16688
3148	311473	112	8	128	38	146	132068	24683
2474	235800	94	8	105	23	84	149193	46230
2084	177939	82	8	55	36	141	46821	10387
1954	207176	70	8	56	32	123	87011	21436
1226	196553	57	2	41	29	111	95260	30546
1389	174184	53	0	72	25	98	55183	19746
1496	143246	103	5	67	27	105	106671	15977
2269	187559	121	8	75	36	135	73511	22583
1833	187681	62	2	114	28	107	92945	17274
1268	119016	52	5	118	23	85	78664	16469
1943	182192	52	12	77	40	155	70054	14251
893	73566	32	6	22	23	88	22618	3007
1762	194979	62	7	66	40	155	74011	16851
1403	167488	45	2	69	28	104	83737	21113
1425	143756	46	0	105	34	132	69094	17401
1857	275541	63	4	116	33	127	93133	23958
1840	243199	75	3	88	28	108	95536	23567
1502	182999	88	6	73	34	129	225920	13065
1441	135649	46	2	99	30	116	62133	15358
1420	152299	53	0	62	33	122	61370	14587
1416	120221	37	1	53	22	85	43836	12770
2970	346485	90	0	118	38	147	106117	24021
1317	145790	63	5	30	26	99	38692	9648
1644	193339	78	2	100	35	87	84651	20537
870	80953	25	0	49	8	28	56622	7905
1654	122774	45	0	24	24	90	15986	4527
1054	130585	46	5	67	29	109	95364	30495
937	112611	41	0	46	20	78	26706	7117
3004	286468	144	1	57	29	111	89691	17719
2008	241066	82	0	75	45	158	67267	27056
2547	148446	91	1	135	37	141	126846	33473
1885	204713	71	1	68	33	122	41140	9758
1626	182079	63	2	124	33	124	102860	21115
1468	140344	53	6	33	25	93	51715	7236
2445	220516	62	1	98	32	124	55801	13790
1964	243060	63	4	58	29	112	111813	32902
1381	162765	32	2	68	28	108	120293	25131
1369	182613	39	3	81	28	99	138599	30910
1659	232138	62	0	131	31	117	161647	35947
2888	265318	117	10	110	52	199	115929	29848
1290	85574	34	0	37	21	78	24266	6943
2845	310839	92	9	130	24	91	162901	42705
1982	225060	93	7	93	41	158	109825	31808
1904	232317	54	0	118	33	126	129838	26675
1391	144966	144	0	39	32	122	37510	8435
602	43287	14	4	13	19	71	43750	7409
1743	155754	61	4	74	20	75	40652	14993
1559	164709	109	0	81	31	115	87771	36867
2014	201940	38	0	109	31	119	85872	33835
2143	235454	73	0	151	32	124	89275	24164
2146	220801	75	1	51	18	72	44418	12607
874	99466	50	0	28	23	91	192565	22609
1590	92661	61	1	40	17	45	35232	5892
1590	133328	55	0	56	20	78	40909	17014
1210	61361	77	0	27	12	39	13294	5394
2072	125930	75	4	37	17	68	32387	9178
1281	100750	72	0	83	30	119	140867	6440
1401	224549	50	4	54	31	117	120662	21916
834	82316	32	4	27	10	39	21233	4011
1105	102010	53	3	28	13	50	44332	5818
1272	101523	42	0	59	22	88	61056	18647
1944	243511	71	0	133	42	155	101338	20556
391	22938	10	0	12	1	0	1168	238
761	41566	35	5	0	9	36	13497	70
1605	152474	65	0	106	32	123	65567	22392
530	61857	25	4	23	11	32	25162	3913
1988	99923	66	0	44	25	99	32334	12237
1386	132487	41	0	71	36	136	40735	8388
2395	317394	86	1	116	31	117	91413	22120
387	21054	16	0	4	0	0	855	338
1742	209641	42	5	62	24	88	97068	11727
620	22648	19	0	12	13	39	44339	3704
449	31414	19	0	18	8	25	14116	3988
800	46698	45	0	14	13	52	10288	3030
1684	131698	65	0	60	19	75	65622	13520
1050	91735	35	0	7	18	71	16563	1421
2699	244749	95	2	98	33	124	76643	20923
1606	184510	49	7	64	40	151	110681	20237
1502	79863	37	1	29	22	71	29011	3219
1204	128423	64	8	32	38	145	92696	3769
1138	97839	38	2	25	24	87	94785	12252
568	38214	34	0	16	8	27	8773	1888
1459	151101	32	2	48	35	131	83209	14497
2158	272458	65	0	100	43	162	93815	28864
1111	172494	52	0	46	43	165	86687	21721
1421	108043	62	1	45	14	54	34553	4821
2833	328107	65	3	129	41	159	105547	33644
1955	250579	83	0	130	38	147	103487	15923
2922	351067	95	3	136	45	170	213688	42935
1002	158015	29	0	59	31	119	71220	18864
1060	98866	18	0	25	13	49	23517	4977
956	85439	33	0	32	28	104	56926	7785
2186	229242	247	4	63	31	120	91721	17939
3604	351619	139	4	95	40	150	115168	23436
1035	84207	29	11	14	30	112	111194	325
1417	120445	118	0	36	16	59	51009	13539
3261	324598	110	0	113	37	136	135777	34538
1587	131069	67	4	47	30	107	51513	12198
1424	204271	42	0	92	35	130	74163	26924
1701	165543	65	1	70	32	115	51633	12716
1249	141722	94	0	19	27	107	75345	8172
946	116048	64	0	50	20	75	33416	10855
1926	250047	81	0	41	18	71	83305	11932
3352	299775	95	9	91	31	120	98952	14300
1641	195838	67	1	111	31	116	102372	25515
2035	173260	63	3	41	21	79	37238	2805
2312	254488	83	10	120	39	150	103772	29402
1369	104389	45	5	135	41	156	123969	16440
1577	136084	30	0	27	13	51	27142	11221
2201	199476	70	2	87	32	118	135400	28732
961	92499	32	0	25	18	71	21399	5250
1900	224330	83	1	131	39	144	130115	28608
1254	135781	31	2	45	14	47	24874	8092
1335	74408	67	4	29	7	28	34988	4473
1597	81240	66	0	58	17	68	45549	1572
207	14688	10	0	4	0	0	6023	2065
1645	181633	70	2	47	30	110	64466	14817
2429	271856	103	1	109	37	147	54990	16714
151	7199	5	0	7	0	0	1644	556
474	46660	20	0	12	5	15	6179	2089
141	17547	5	0	0	1	4	3926	2658
1639	133368	36	1	37	16	64	32755	10695
872	95227	34	0	37	32	111	34777	1669
1318	152601	48	2	46	24	85	73224	16267
1018	98146	40	0	15	17	68	27114	7768
1383	79619	43	3	42	11	40	20760	7252
1314	59194	31	6	7	24	80	37636	6387
1335	139942	42	0	54	22	88	65461	18715
1403	118612	46	2	54	12	48	30080	7936
910	72880	33	0	14	19	76	24094	8643
616	65475	18	2	16	13	51	69008	7294
1407	99643	55	1	33	17	67	54968	4570
771	71965	35	1	32	15	59	46090	7185
766	77272	59	2	21	16	61	27507	10058
473	49289	19	1	15	24	76	10672	2342
1376	135131	66	0	38	15	60	34029	8509
1232	108446	60	1	22	17	68	46300	13275
1521	89746	36	3	28	18	71	24760	6816
572	44296	25	0	10	20	76	18779	1930
1059	77648	47	0	31	16	62	21280	8086
1544	181528	54	0	32	16	61	40662	10737
1230	134019	53	0	32	18	67	28987	8033
1206	124064	40	1	43	22	88	22827	7058
1205	92630	40	4	27	8	30	18513	6782
1255	121848	39	0	37	17	64	30594	5401
613	52915	14	0	20	18	68	24006	6521
721	81872	45	0	32	16	64	27913	10856
1109	58981	36	7	0	23	91	42744	2154
740	53515	28	2	5	22	88	12934	6117
1126	60812	44	0	26	13	52	22574	5238
728	56375	30	7	10	13	49	41385	4820
689	65490	22	3	27	16	62	18653	5615
592	80949	17	0	11	16	61	18472	4272
995	76302	31	0	29	20	76	30976	8702
1613	104011	55	6	25	22	88	63339	15340
2048	98104	54	2	55	17	66	25568	8030
705	67989	21	0	23	18	71	33747	9526
301	30989	14	0	5	17	68	4154	1278
1803	135458	81	3	43	12	48	19474	4236
799	73504	35	0	23	7	25	35130	3023
861	63123	43	1	34	17	68	39067	7196
1186	61254	46	1	36	14	41	13310	3394
1451	74914	30	0	35	23	90	65892	6371
628	31774	23	1	0	17	66	4143	1574
1161	81437	38	0	37	14	54	28579	9620
1463	87186	54	0	28	15	59	51776	6978
742	50090	20	0	16	17	60	21152	4911
979	65745	53	0	26	21	77	38084	8645
675	56653	45	0	38	18	68	27717	8987
1241	158399	39	0	23	18	72	32928	5544
676	46455	20	0	22	17	67	11342	3083
1049	73624	24	0	30	17	64	19499	6909
620	38395	31	0	16	16	63	16380	3189
1081	91899	35	0	18	15	59	36874	6745
1688	139526	151	0	28	21	84	48259	16724
736	52164	52	0	32	16	64	16734	4850
617	51567	30	2	21	14	56	28207	7025
812	70551	31	0	23	15	54	30143	6047
1051	84856	29	1	29	17	67	41369	7377
1656	102538	57	1	50	15	58	45833	9078
705	86678	40	0	12	15	59	29156	4605
945	85709	44	0	21	10	40	35944	3238
554	34662	25	0	18	6	22	36278	8100
1597	150580	77	0	27	22	83	45588	9653
982	99611	35	0	41	21	81	45097	8914
222	19349	11	0	13	1	2	3895	786
1212	99373	63	1	12	18	72	28394	6700
1143	86230	44	0	21	17	61	18632	5788
435	30837	19	0	8	4	15	2325	593
532	31706	13	0	26	10	32	25139	4506
882	89806	42	0	27	16	62	27975	6382
608	62088	38	1	13	16	58	14483	5621
459	40151	29	0	16	9	36	13127	3997
578	27634	20	0	2	16	59	5839	520
826	76990	27	0	42	17	68	24069	8891
509	37460	20	0	5	7	21	3738	999
717	54157	19	0	37	15	55	18625	7067
637	49862	37	0	17	14	54	36341	4639
857	84337	26	0	38	14	55	24548	5654
830	64175	42	0	37	18	72	21792	6928
652	59382	49	0	29	12	41	26263	1514
707	119308	30	0	32	16	61	23686	9238
954	76702	49	0	35	21	67	49303	8204
1461	103425	67	1	17	19	76	25659	5926
672	70344	28	0	20	16	64	28904	5785
778	43410	19	0	7	1	3	2781	4
1141	104838	49	1	46	16	63	29236	5930
680	62215	27	0	24	10	40	19546	3710
1090	69304	30	6	40	19	69	22818	705
616	53117	22	3	3	12	48	32689	443
285	19764	12	1	10	2	8	5752	2416
1145	86680	31	2	37	14	52	22197	7747
733	84105	20	0	17	17	66	20055	5432
888	77945	20	0	28	19	76	25272	4913
849	89113	39	0	19	14	43	82206	2650
1182	91005	29	3	29	11	39	32073	2370
528	40248	16	1	8	4	14	5444	775
642	64187	27	0	10	16	61	20154	5576
947	50857	21	0	15	20	71	36944	1352
819	56613	19	1	15	12	44	8019	3080
757	62792	35	0	28	15	60	30884	10205
894	72535	14	0	17	16	64	19540	6095

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153339&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153339&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153339&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'Gertrude Mary Cox' @ cox.wessa.net






Goodness of Fit
Correlation0.9387
R-squared0.8812
RMSE28329.8922

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.9387 \tabularnewline
R-squared & 0.8812 \tabularnewline
RMSE & 28329.8922 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153339&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.9387[/C][/ROW]
[ROW][C]R-squared[/C][C]0.8812[/C][/ROW]
[ROW][C]RMSE[/C][C]28329.8922[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153339&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153339&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
Correlation0.9387
R-squared0.8812
RMSE28329.8922






Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
1210907178268.85714285732638.1428571429
2120982124897.5-3915.5
3176508142822.18918918933685.8108108108
4179321227016.525423729-47695.5254237288
512318585169.925925925938015.0740740741
65274639424.133333333313321.8666666667
7385534321098.062564435.9375
83317019387.413782.6
910164585169.925925925916475.0740740741
10149061178268.857142857-29207.8571428571
11165446142822.18918918922623.8108108108
12237213227016.52542372910196.4745762712
13173326142822.18918918930503.8108108108
14133131142822.189189189-9691.1891891892
15258873227016.52542372931856.4745762712
16180083142822.18918918937260.8108108108
17324799321098.06253700.9375
18230964227016.5254237293947.4745762712
19236785227016.5254237299768.4745762712
20135473124897.510575.5
21202925227016.525423729-24091.5254237288
22215147227016.525423729-11869.5254237288
23344297227016.525423729117280.474576271
24153935142822.18918918911112.8108108108
25132943142822.189189189-9879.1891891892
26174724227016.525423729-52292.5254237288
27174415227016.525423729-52601.5254237288
28225548227016.525423729-1468.5254237288
29223632227016.525423729-3384.5254237288
3012481798962.421052631625854.5789473684
31221698227016.525423729-5318.5254237288
32210767227016.525423729-16249.5254237288
33170266142822.18918918927443.8108108108
34260561227016.52542372933544.4745762712
358485385169.9259259259-316.925925925927
36294424227016.52542372967407.4745762712
3710101185169.925925925915841.0740740741
38215641227016.525423729-11375.5254237288
39325107227016.52542372998090.4745762712
40717619387.4-12211.4
41167542142822.18918918924719.8108108108
42106408124897.5-18489.5
4396560153513.315789474-56953.3157894737
44265769227016.52542372938752.4745762712
45269651321098.0625-51447.0625
46149112142822.1891891896289.8108108108
47175824153513.31578947422310.6842105263
48152871178268.857142857-25397.8571428571
49111665124897.5-13232.5
50116408153513.315789474-37105.3157894737
51362301321098.062541202.9375
527880085169.9259259259-6369.92592592593
53183167227016.525423729-43849.5254237288
54277965321098.0625-43133.0625
55150629227016.525423729-76387.5254237288
56168809178268.857142857-9459.85714285713
572418839424.1333333333-15236.1333333333
58329267227016.525423729102250.474576271
596502947452.545454545517576.4545454545
6010109785169.925925925915927.0740740741
61218946227016.525423729-8070.5254237288
62244052227016.52542372917035.4745762712
63341570321098.062520471.9375
6410359785169.925925925918427.0740740741
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
72196553178268.85714285718284.1428571429
73174184178268.857142857-4084.85714285713
74143246142822.189189189423.810810810799
75187559227016.525423729-39457.5254237288
76187681227016.525423729-39335.5254237288
77119016142822.189189189-23806.1891891892
78182192227016.525423729-44824.5254237288
797356685169.9259259259-11603.9259259259
80194979227016.525423729-32037.5254237288
81167488178268.857142857-10780.8571428571
82143756142822.189189189933.810810810799
83275541227016.52542372948524.4745762712
84243199227016.52542372916182.4745762712
85182999142822.18918918940176.8108108108
86135649142822.189189189-7173.1891891892
87152299142822.1891891899476.8108108108
88120221142822.189189189-22601.1891891892
89346485321098.062525386.9375
90145790142822.1891891892967.8108108108
91193339153513.31578947439825.6842105263
928095385169.9259259259-4216.92592592593
93122774153513.315789474-30739.3157894737
94130585124897.55687.5
9511261185169.925925925927441.0740740741
96286468321098.0625-34630.0625
97241066227016.52542372914049.4745762712
98148446227016.525423729-78570.5254237288
99204713227016.525423729-22303.5254237288
100182079227016.525423729-44937.5254237288
10114034498962.421052631641381.5789473684
102220516227016.525423729-6500.5254237288
103243060227016.52542372916043.4745762712
104162765178268.857142857-15503.8571428571
105182613178268.8571428574344.14285714287
106232138227016.5254237295121.4745762712
107265318321098.0625-55780.0625
1088557498962.4210526316-13388.4210526316
109310839321098.0625-10259.0625
110225060227016.525423729-1956.5254237288
111232317227016.5254237295300.4745762712
112144966142822.1891891892143.8108108108
1134328765732.56-22445.56
114155754153513.3157894742240.68421052632
115164709178268.857142857-13559.8571428571
116201940227016.525423729-25076.5254237288
117235454227016.5254237298437.4745762712
118220801153513.31578947467287.6842105263
11999466124897.5-25431.5
1209266198962.4210526316-6301.42105263157
121133328142822.189189189-9494.1891891892
1226136185169.9259259259-23808.9259259259
123125930153513.315789474-27583.3157894737
12410075098962.42105263161787.57894736843
125224549178268.85714285746280.1428571429
1268231685169.9259259259-2853.92592592593
12710201085169.925925925916840.0740740741
128101523142822.189189189-41299.1891891892
129243511227016.52542372916494.4745762712
1302293819387.43550.6
1314156647452.5454545455-5886.54545454546
132152474178268.857142857-25794.8571428571
1336185739424.133333333322432.8666666667
13499923153513.315789474-53590.3157894737
135132487142822.189189189-10335.1891891892
136317394227016.52542372990377.4745762712
1372105419387.41666.6
138209641153513.31578947456127.6842105263
1392264847452.5454545455-24804.5454545455
1403141439424.1333333333-8010.13333333333
1414669847452.5454545455-754.545454545456
142131698153513.315789474-21815.3157894737
1439173585169.92592592596565.07407407407
144244749227016.52542372917732.4745762712
145184510178268.8571428576241.14285714287
1467986398962.4210526316-19099.4210526316
14712842385169.925925925943253.0740740741
14897839124897.5-27058.5
1493821439424.1333333333-1210.13333333333
150151101142822.1891891898278.8108108108
151272458227016.52542372945441.4745762712
152172494124897.547596.5
15310804398962.42105263169080.57894736843
154328107321098.06257008.9375
155250579227016.52542372923562.4745762712
156351067321098.062529968.9375
157158015124897.533117.5
1589886685169.925925925913696.0740740741
1598543985169.9259259259269.074074074073
160229242227016.5254237292225.4745762712
161351619321098.062530520.9375
1628420785169.9259259259-962.925925925927
163120445142822.189189189-22377.1891891892
164324598321098.06253499.9375
165131069142822.189189189-11753.1891891892
166204271178268.85714285726002.1428571429
167165543227016.525423729-61473.5254237288
168141722142822.189189189-1100.1891891892
169116048124897.5-8849.5
170250047153513.31578947496533.6842105263
171299775321098.0625-21323.0625
172195838227016.525423729-31178.5254237288
173173260153513.31578947419746.6842105263
174254488227016.52542372927471.4745762712
175104389142822.189189189-38433.1891891892
176136084142822.189189189-6738.1891891892
177199476227016.525423729-27540.5254237288
1789249985169.92592592597329.07407407407
179224330227016.525423729-2686.5254237288
180135781142822.189189189-7041.1891891892
1817440898962.4210526316-24554.4210526316
1828124098962.4210526316-17722.4210526316
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
1909522785169.925925925910057.0740740741
191152601142822.1891891899778.8108108108
1929814685169.925925925912976.0740740741
1937961998962.4210526316-19343.4210526316
1945919498962.4210526316-39768.4210526316
195139942142822.189189189-2880.1891891892
19611861298962.421052631619649.5789473684
1977288085169.9259259259-12289.9259259259
1986547565732.56-257.559999999998
1999964398962.4210526316680.578947368427
2007196565732.566232.44
2017727265732.5611539.44
2024928939424.13333333339864.86666666667
203135131142822.189189189-7691.1891891892
204108446142822.189189189-34376.1891891892
2058974698962.4210526316-9216.42105263157
2064429639424.13333333334871.86666666667
2077764885169.9259259259-7521.92592592593
208181528142822.18918918938705.8108108108
209134019142822.189189189-8803.1891891892
21012406485169.925925925938894.0740740741
2119263085169.92592592597460.07407407407
21212184898962.421052631622885.5789473684
2135291565732.56-12817.56
2148187265732.5616139.44
2155898185169.9259259259-26188.9259259259
2165351565732.56-12217.56
2176081285169.9259259259-24357.9259259259
2185637565732.56-9357.56
2196549065732.56-242.559999999998
2208094965732.5615216.44
2217630285169.9259259259-8867.92592592593
222104011142822.189189189-38811.1891891892
22398104153513.315789474-55409.3157894737
2246798965732.562256.44
2253098919387.411601.6
226135458153513.315789474-18055.3157894737
2277350447452.545454545526051.4545454545
2286312385169.9259259259-22046.9259259259
2296125485169.9259259259-23915.9259259259
2307491498962.4210526316-24048.4210526316
2313177447452.5454545455-15678.5454545455
2328143785169.9259259259-3732.92592592593
2338718698962.4210526316-11776.4210526316
2345009065732.56-15642.56
2356574585169.9259259259-19424.9259259259
2365665365732.56-9079.56
23715839998962.421052631659436.5789473684
2384645547452.5454545455-997.545454545456
2397362485169.9259259259-11545.9259259259
2403839547452.5454545455-9057.54545454546
2419189985169.92592592596729.07407407407
242139526153513.315789474-13987.3157894737
2435216465732.56-13568.56
2445156765732.56-14165.56
2457055185169.9259259259-14618.9259259259
2468485685169.9259259259-313.925925925927
247102538153513.315789474-50975.3157894737
2488667865732.5620945.44
2498570985169.9259259259539.074074074073
2503466239424.1333333333-4762.13333333333
251150580142822.1891891897757.8108108108
2529961185169.925925925914441.0740740741
2531934919387.4-38.4000000000015
2549937385169.925925925914203.0740740741
2558623085169.92592592591060.07407407407
2563083739424.1333333333-8587.13333333333
2573170639424.1333333333-7718.13333333333
2588980685169.92592592594636.07407407407
2596208865732.56-3644.56
2604015139424.1333333333726.866666666669
2612763439424.1333333333-11790.1333333333
2627699085169.9259259259-8179.92592592593
2633746039424.1333333333-1964.13333333333
2645415765732.56-11575.56
2654986265732.56-15870.56
2668433785169.9259259259-832.925925925927
2676417585169.9259259259-20994.9259259259
2685938247452.545454545511929.4545454545
26911930865732.5653575.44
2707670285169.9259259259-8467.92592592593
27110342598962.42105263164462.57894736843
2727034465732.564611.44
2734341047452.5454545455-4042.54545454546
27410483885169.925925925919668.0740740741
2756221565732.56-3517.56
2766930485169.9259259259-15865.9259259259
2775311747452.54545454555664.45454545454
2781976419387.4376.599999999999
2798668085169.92592592591510.07407407407
2808410565732.5618372.44
2817794585169.9259259259-7224.92592592593
2828911385169.92592592593943.07407407407
2839100585169.92592592595835.07407407407
2844024839424.1333333333823.866666666669
2856418765732.56-1545.56
2865085785169.9259259259-34312.9259259259
2875661385169.9259259259-28556.9259259259
2886279265732.56-2940.56
2897253585169.9259259259-12634.9259259259

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 210907 & 178268.857142857 & 32638.1428571429 \tabularnewline
2 & 120982 & 124897.5 & -3915.5 \tabularnewline
3 & 176508 & 142822.189189189 & 33685.8108108108 \tabularnewline
4 & 179321 & 227016.525423729 & -47695.5254237288 \tabularnewline
5 & 123185 & 85169.9259259259 & 38015.0740740741 \tabularnewline
6 & 52746 & 39424.1333333333 & 13321.8666666667 \tabularnewline
7 & 385534 & 321098.0625 & 64435.9375 \tabularnewline
8 & 33170 & 19387.4 & 13782.6 \tabularnewline
9 & 101645 & 85169.9259259259 & 16475.0740740741 \tabularnewline
10 & 149061 & 178268.857142857 & -29207.8571428571 \tabularnewline
11 & 165446 & 142822.189189189 & 22623.8108108108 \tabularnewline
12 & 237213 & 227016.525423729 & 10196.4745762712 \tabularnewline
13 & 173326 & 142822.189189189 & 30503.8108108108 \tabularnewline
14 & 133131 & 142822.189189189 & -9691.1891891892 \tabularnewline
15 & 258873 & 227016.525423729 & 31856.4745762712 \tabularnewline
16 & 180083 & 142822.189189189 & 37260.8108108108 \tabularnewline
17 & 324799 & 321098.0625 & 3700.9375 \tabularnewline
18 & 230964 & 227016.525423729 & 3947.4745762712 \tabularnewline
19 & 236785 & 227016.525423729 & 9768.4745762712 \tabularnewline
20 & 135473 & 124897.5 & 10575.5 \tabularnewline
21 & 202925 & 227016.525423729 & -24091.5254237288 \tabularnewline
22 & 215147 & 227016.525423729 & -11869.5254237288 \tabularnewline
23 & 344297 & 227016.525423729 & 117280.474576271 \tabularnewline
24 & 153935 & 142822.189189189 & 11112.8108108108 \tabularnewline
25 & 132943 & 142822.189189189 & -9879.1891891892 \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 & 98962.4210526316 & 25854.5789473684 \tabularnewline
31 & 221698 & 227016.525423729 & -5318.5254237288 \tabularnewline
32 & 210767 & 227016.525423729 & -16249.5254237288 \tabularnewline
33 & 170266 & 142822.189189189 & 27443.8108108108 \tabularnewline
34 & 260561 & 227016.525423729 & 33544.4745762712 \tabularnewline
35 & 84853 & 85169.9259259259 & -316.925925925927 \tabularnewline
36 & 294424 & 227016.525423729 & 67407.4745762712 \tabularnewline
37 & 101011 & 85169.9259259259 & 15841.0740740741 \tabularnewline
38 & 215641 & 227016.525423729 & -11375.5254237288 \tabularnewline
39 & 325107 & 227016.525423729 & 98090.4745762712 \tabularnewline
40 & 7176 & 19387.4 & -12211.4 \tabularnewline
41 & 167542 & 142822.189189189 & 24719.8108108108 \tabularnewline
42 & 106408 & 124897.5 & -18489.5 \tabularnewline
43 & 96560 & 153513.315789474 & -56953.3157894737 \tabularnewline
44 & 265769 & 227016.525423729 & 38752.4745762712 \tabularnewline
45 & 269651 & 321098.0625 & -51447.0625 \tabularnewline
46 & 149112 & 142822.189189189 & 6289.8108108108 \tabularnewline
47 & 175824 & 153513.315789474 & 22310.6842105263 \tabularnewline
48 & 152871 & 178268.857142857 & -25397.8571428571 \tabularnewline
49 & 111665 & 124897.5 & -13232.5 \tabularnewline
50 & 116408 & 153513.315789474 & -37105.3157894737 \tabularnewline
51 & 362301 & 321098.0625 & 41202.9375 \tabularnewline
52 & 78800 & 85169.9259259259 & -6369.92592592593 \tabularnewline
53 & 183167 & 227016.525423729 & -43849.5254237288 \tabularnewline
54 & 277965 & 321098.0625 & -43133.0625 \tabularnewline
55 & 150629 & 227016.525423729 & -76387.5254237288 \tabularnewline
56 & 168809 & 178268.857142857 & -9459.85714285713 \tabularnewline
57 & 24188 & 39424.1333333333 & -15236.1333333333 \tabularnewline
58 & 329267 & 227016.525423729 & 102250.474576271 \tabularnewline
59 & 65029 & 47452.5454545455 & 17576.4545454545 \tabularnewline
60 & 101097 & 85169.9259259259 & 15927.0740740741 \tabularnewline
61 & 218946 & 227016.525423729 & -8070.5254237288 \tabularnewline
62 & 244052 & 227016.525423729 & 17035.4745762712 \tabularnewline
63 & 341570 & 321098.0625 & 20471.9375 \tabularnewline
64 & 103597 & 85169.9259259259 & 18427.0740740741 \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 & 178268.857142857 & 18284.1428571429 \tabularnewline
73 & 174184 & 178268.857142857 & -4084.85714285713 \tabularnewline
74 & 143246 & 142822.189189189 & 423.810810810799 \tabularnewline
75 & 187559 & 227016.525423729 & -39457.5254237288 \tabularnewline
76 & 187681 & 227016.525423729 & -39335.5254237288 \tabularnewline
77 & 119016 & 142822.189189189 & -23806.1891891892 \tabularnewline
78 & 182192 & 227016.525423729 & -44824.5254237288 \tabularnewline
79 & 73566 & 85169.9259259259 & -11603.9259259259 \tabularnewline
80 & 194979 & 227016.525423729 & -32037.5254237288 \tabularnewline
81 & 167488 & 178268.857142857 & -10780.8571428571 \tabularnewline
82 & 143756 & 142822.189189189 & 933.810810810799 \tabularnewline
83 & 275541 & 227016.525423729 & 48524.4745762712 \tabularnewline
84 & 243199 & 227016.525423729 & 16182.4745762712 \tabularnewline
85 & 182999 & 142822.189189189 & 40176.8108108108 \tabularnewline
86 & 135649 & 142822.189189189 & -7173.1891891892 \tabularnewline
87 & 152299 & 142822.189189189 & 9476.8108108108 \tabularnewline
88 & 120221 & 142822.189189189 & -22601.1891891892 \tabularnewline
89 & 346485 & 321098.0625 & 25386.9375 \tabularnewline
90 & 145790 & 142822.189189189 & 2967.8108108108 \tabularnewline
91 & 193339 & 153513.315789474 & 39825.6842105263 \tabularnewline
92 & 80953 & 85169.9259259259 & -4216.92592592593 \tabularnewline
93 & 122774 & 153513.315789474 & -30739.3157894737 \tabularnewline
94 & 130585 & 124897.5 & 5687.5 \tabularnewline
95 & 112611 & 85169.9259259259 & 27441.0740740741 \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 & 98962.4210526316 & 41381.5789473684 \tabularnewline
102 & 220516 & 227016.525423729 & -6500.5254237288 \tabularnewline
103 & 243060 & 227016.525423729 & 16043.4745762712 \tabularnewline
104 & 162765 & 178268.857142857 & -15503.8571428571 \tabularnewline
105 & 182613 & 178268.857142857 & 4344.14285714287 \tabularnewline
106 & 232138 & 227016.525423729 & 5121.4745762712 \tabularnewline
107 & 265318 & 321098.0625 & -55780.0625 \tabularnewline
108 & 85574 & 98962.4210526316 & -13388.4210526316 \tabularnewline
109 & 310839 & 321098.0625 & -10259.0625 \tabularnewline
110 & 225060 & 227016.525423729 & -1956.5254237288 \tabularnewline
111 & 232317 & 227016.525423729 & 5300.4745762712 \tabularnewline
112 & 144966 & 142822.189189189 & 2143.8108108108 \tabularnewline
113 & 43287 & 65732.56 & -22445.56 \tabularnewline
114 & 155754 & 153513.315789474 & 2240.68421052632 \tabularnewline
115 & 164709 & 178268.857142857 & -13559.8571428571 \tabularnewline
116 & 201940 & 227016.525423729 & -25076.5254237288 \tabularnewline
117 & 235454 & 227016.525423729 & 8437.4745762712 \tabularnewline
118 & 220801 & 153513.315789474 & 67287.6842105263 \tabularnewline
119 & 99466 & 124897.5 & -25431.5 \tabularnewline
120 & 92661 & 98962.4210526316 & -6301.42105263157 \tabularnewline
121 & 133328 & 142822.189189189 & -9494.1891891892 \tabularnewline
122 & 61361 & 85169.9259259259 & -23808.9259259259 \tabularnewline
123 & 125930 & 153513.315789474 & -27583.3157894737 \tabularnewline
124 & 100750 & 98962.4210526316 & 1787.57894736843 \tabularnewline
125 & 224549 & 178268.857142857 & 46280.1428571429 \tabularnewline
126 & 82316 & 85169.9259259259 & -2853.92592592593 \tabularnewline
127 & 102010 & 85169.9259259259 & 16840.0740740741 \tabularnewline
128 & 101523 & 142822.189189189 & -41299.1891891892 \tabularnewline
129 & 243511 & 227016.525423729 & 16494.4745762712 \tabularnewline
130 & 22938 & 19387.4 & 3550.6 \tabularnewline
131 & 41566 & 47452.5454545455 & -5886.54545454546 \tabularnewline
132 & 152474 & 178268.857142857 & -25794.8571428571 \tabularnewline
133 & 61857 & 39424.1333333333 & 22432.8666666667 \tabularnewline
134 & 99923 & 153513.315789474 & -53590.3157894737 \tabularnewline
135 & 132487 & 142822.189189189 & -10335.1891891892 \tabularnewline
136 & 317394 & 227016.525423729 & 90377.4745762712 \tabularnewline
137 & 21054 & 19387.4 & 1666.6 \tabularnewline
138 & 209641 & 153513.315789474 & 56127.6842105263 \tabularnewline
139 & 22648 & 47452.5454545455 & -24804.5454545455 \tabularnewline
140 & 31414 & 39424.1333333333 & -8010.13333333333 \tabularnewline
141 & 46698 & 47452.5454545455 & -754.545454545456 \tabularnewline
142 & 131698 & 153513.315789474 & -21815.3157894737 \tabularnewline
143 & 91735 & 85169.9259259259 & 6565.07407407407 \tabularnewline
144 & 244749 & 227016.525423729 & 17732.4745762712 \tabularnewline
145 & 184510 & 178268.857142857 & 6241.14285714287 \tabularnewline
146 & 79863 & 98962.4210526316 & -19099.4210526316 \tabularnewline
147 & 128423 & 85169.9259259259 & 43253.0740740741 \tabularnewline
148 & 97839 & 124897.5 & -27058.5 \tabularnewline
149 & 38214 & 39424.1333333333 & -1210.13333333333 \tabularnewline
150 & 151101 & 142822.189189189 & 8278.8108108108 \tabularnewline
151 & 272458 & 227016.525423729 & 45441.4745762712 \tabularnewline
152 & 172494 & 124897.5 & 47596.5 \tabularnewline
153 & 108043 & 98962.4210526316 & 9080.57894736843 \tabularnewline
154 & 328107 & 321098.0625 & 7008.9375 \tabularnewline
155 & 250579 & 227016.525423729 & 23562.4745762712 \tabularnewline
156 & 351067 & 321098.0625 & 29968.9375 \tabularnewline
157 & 158015 & 124897.5 & 33117.5 \tabularnewline
158 & 98866 & 85169.9259259259 & 13696.0740740741 \tabularnewline
159 & 85439 & 85169.9259259259 & 269.074074074073 \tabularnewline
160 & 229242 & 227016.525423729 & 2225.4745762712 \tabularnewline
161 & 351619 & 321098.0625 & 30520.9375 \tabularnewline
162 & 84207 & 85169.9259259259 & -962.925925925927 \tabularnewline
163 & 120445 & 142822.189189189 & -22377.1891891892 \tabularnewline
164 & 324598 & 321098.0625 & 3499.9375 \tabularnewline
165 & 131069 & 142822.189189189 & -11753.1891891892 \tabularnewline
166 & 204271 & 178268.857142857 & 26002.1428571429 \tabularnewline
167 & 165543 & 227016.525423729 & -61473.5254237288 \tabularnewline
168 & 141722 & 142822.189189189 & -1100.1891891892 \tabularnewline
169 & 116048 & 124897.5 & -8849.5 \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 & 142822.189189189 & -38433.1891891892 \tabularnewline
176 & 136084 & 142822.189189189 & -6738.1891891892 \tabularnewline
177 & 199476 & 227016.525423729 & -27540.5254237288 \tabularnewline
178 & 92499 & 85169.9259259259 & 7329.07407407407 \tabularnewline
179 & 224330 & 227016.525423729 & -2686.5254237288 \tabularnewline
180 & 135781 & 142822.189189189 & -7041.1891891892 \tabularnewline
181 & 74408 & 98962.4210526316 & -24554.4210526316 \tabularnewline
182 & 81240 & 98962.4210526316 & -17722.4210526316 \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 & 85169.9259259259 & 10057.0740740741 \tabularnewline
191 & 152601 & 142822.189189189 & 9778.8108108108 \tabularnewline
192 & 98146 & 85169.9259259259 & 12976.0740740741 \tabularnewline
193 & 79619 & 98962.4210526316 & -19343.4210526316 \tabularnewline
194 & 59194 & 98962.4210526316 & -39768.4210526316 \tabularnewline
195 & 139942 & 142822.189189189 & -2880.1891891892 \tabularnewline
196 & 118612 & 98962.4210526316 & 19649.5789473684 \tabularnewline
197 & 72880 & 85169.9259259259 & -12289.9259259259 \tabularnewline
198 & 65475 & 65732.56 & -257.559999999998 \tabularnewline
199 & 99643 & 98962.4210526316 & 680.578947368427 \tabularnewline
200 & 71965 & 65732.56 & 6232.44 \tabularnewline
201 & 77272 & 65732.56 & 11539.44 \tabularnewline
202 & 49289 & 39424.1333333333 & 9864.86666666667 \tabularnewline
203 & 135131 & 142822.189189189 & -7691.1891891892 \tabularnewline
204 & 108446 & 142822.189189189 & -34376.1891891892 \tabularnewline
205 & 89746 & 98962.4210526316 & -9216.42105263157 \tabularnewline
206 & 44296 & 39424.1333333333 & 4871.86666666667 \tabularnewline
207 & 77648 & 85169.9259259259 & -7521.92592592593 \tabularnewline
208 & 181528 & 142822.189189189 & 38705.8108108108 \tabularnewline
209 & 134019 & 142822.189189189 & -8803.1891891892 \tabularnewline
210 & 124064 & 85169.9259259259 & 38894.0740740741 \tabularnewline
211 & 92630 & 85169.9259259259 & 7460.07407407407 \tabularnewline
212 & 121848 & 98962.4210526316 & 22885.5789473684 \tabularnewline
213 & 52915 & 65732.56 & -12817.56 \tabularnewline
214 & 81872 & 65732.56 & 16139.44 \tabularnewline
215 & 58981 & 85169.9259259259 & -26188.9259259259 \tabularnewline
216 & 53515 & 65732.56 & -12217.56 \tabularnewline
217 & 60812 & 85169.9259259259 & -24357.9259259259 \tabularnewline
218 & 56375 & 65732.56 & -9357.56 \tabularnewline
219 & 65490 & 65732.56 & -242.559999999998 \tabularnewline
220 & 80949 & 65732.56 & 15216.44 \tabularnewline
221 & 76302 & 85169.9259259259 & -8867.92592592593 \tabularnewline
222 & 104011 & 142822.189189189 & -38811.1891891892 \tabularnewline
223 & 98104 & 153513.315789474 & -55409.3157894737 \tabularnewline
224 & 67989 & 65732.56 & 2256.44 \tabularnewline
225 & 30989 & 19387.4 & 11601.6 \tabularnewline
226 & 135458 & 153513.315789474 & -18055.3157894737 \tabularnewline
227 & 73504 & 47452.5454545455 & 26051.4545454545 \tabularnewline
228 & 63123 & 85169.9259259259 & -22046.9259259259 \tabularnewline
229 & 61254 & 85169.9259259259 & -23915.9259259259 \tabularnewline
230 & 74914 & 98962.4210526316 & -24048.4210526316 \tabularnewline
231 & 31774 & 47452.5454545455 & -15678.5454545455 \tabularnewline
232 & 81437 & 85169.9259259259 & -3732.92592592593 \tabularnewline
233 & 87186 & 98962.4210526316 & -11776.4210526316 \tabularnewline
234 & 50090 & 65732.56 & -15642.56 \tabularnewline
235 & 65745 & 85169.9259259259 & -19424.9259259259 \tabularnewline
236 & 56653 & 65732.56 & -9079.56 \tabularnewline
237 & 158399 & 98962.4210526316 & 59436.5789473684 \tabularnewline
238 & 46455 & 47452.5454545455 & -997.545454545456 \tabularnewline
239 & 73624 & 85169.9259259259 & -11545.9259259259 \tabularnewline
240 & 38395 & 47452.5454545455 & -9057.54545454546 \tabularnewline
241 & 91899 & 85169.9259259259 & 6729.07407407407 \tabularnewline
242 & 139526 & 153513.315789474 & -13987.3157894737 \tabularnewline
243 & 52164 & 65732.56 & -13568.56 \tabularnewline
244 & 51567 & 65732.56 & -14165.56 \tabularnewline
245 & 70551 & 85169.9259259259 & -14618.9259259259 \tabularnewline
246 & 84856 & 85169.9259259259 & -313.925925925927 \tabularnewline
247 & 102538 & 153513.315789474 & -50975.3157894737 \tabularnewline
248 & 86678 & 65732.56 & 20945.44 \tabularnewline
249 & 85709 & 85169.9259259259 & 539.074074074073 \tabularnewline
250 & 34662 & 39424.1333333333 & -4762.13333333333 \tabularnewline
251 & 150580 & 142822.189189189 & 7757.8108108108 \tabularnewline
252 & 99611 & 85169.9259259259 & 14441.0740740741 \tabularnewline
253 & 19349 & 19387.4 & -38.4000000000015 \tabularnewline
254 & 99373 & 85169.9259259259 & 14203.0740740741 \tabularnewline
255 & 86230 & 85169.9259259259 & 1060.07407407407 \tabularnewline
256 & 30837 & 39424.1333333333 & -8587.13333333333 \tabularnewline
257 & 31706 & 39424.1333333333 & -7718.13333333333 \tabularnewline
258 & 89806 & 85169.9259259259 & 4636.07407407407 \tabularnewline
259 & 62088 & 65732.56 & -3644.56 \tabularnewline
260 & 40151 & 39424.1333333333 & 726.866666666669 \tabularnewline
261 & 27634 & 39424.1333333333 & -11790.1333333333 \tabularnewline
262 & 76990 & 85169.9259259259 & -8179.92592592593 \tabularnewline
263 & 37460 & 39424.1333333333 & -1964.13333333333 \tabularnewline
264 & 54157 & 65732.56 & -11575.56 \tabularnewline
265 & 49862 & 65732.56 & -15870.56 \tabularnewline
266 & 84337 & 85169.9259259259 & -832.925925925927 \tabularnewline
267 & 64175 & 85169.9259259259 & -20994.9259259259 \tabularnewline
268 & 59382 & 47452.5454545455 & 11929.4545454545 \tabularnewline
269 & 119308 & 65732.56 & 53575.44 \tabularnewline
270 & 76702 & 85169.9259259259 & -8467.92592592593 \tabularnewline
271 & 103425 & 98962.4210526316 & 4462.57894736843 \tabularnewline
272 & 70344 & 65732.56 & 4611.44 \tabularnewline
273 & 43410 & 47452.5454545455 & -4042.54545454546 \tabularnewline
274 & 104838 & 85169.9259259259 & 19668.0740740741 \tabularnewline
275 & 62215 & 65732.56 & -3517.56 \tabularnewline
276 & 69304 & 85169.9259259259 & -15865.9259259259 \tabularnewline
277 & 53117 & 47452.5454545455 & 5664.45454545454 \tabularnewline
278 & 19764 & 19387.4 & 376.599999999999 \tabularnewline
279 & 86680 & 85169.9259259259 & 1510.07407407407 \tabularnewline
280 & 84105 & 65732.56 & 18372.44 \tabularnewline
281 & 77945 & 85169.9259259259 & -7224.92592592593 \tabularnewline
282 & 89113 & 85169.9259259259 & 3943.07407407407 \tabularnewline
283 & 91005 & 85169.9259259259 & 5835.07407407407 \tabularnewline
284 & 40248 & 39424.1333333333 & 823.866666666669 \tabularnewline
285 & 64187 & 65732.56 & -1545.56 \tabularnewline
286 & 50857 & 85169.9259259259 & -34312.9259259259 \tabularnewline
287 & 56613 & 85169.9259259259 & -28556.9259259259 \tabularnewline
288 & 62792 & 65732.56 & -2940.56 \tabularnewline
289 & 72535 & 85169.9259259259 & -12634.9259259259 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153339&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]178268.857142857[/C][C]32638.1428571429[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]124897.5[/C][C]-3915.5[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]142822.189189189[/C][C]33685.8108108108[/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]85169.9259259259[/C][C]38015.0740740741[/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]85169.9259259259[/C][C]16475.0740740741[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]178268.857142857[/C][C]-29207.8571428571[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]142822.189189189[/C][C]22623.8108108108[/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]142822.189189189[/C][C]30503.8108108108[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]142822.189189189[/C][C]-9691.1891891892[/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]142822.189189189[/C][C]37260.8108108108[/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]124897.5[/C][C]10575.5[/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]142822.189189189[/C][C]11112.8108108108[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]142822.189189189[/C][C]-9879.1891891892[/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]98962.4210526316[/C][C]25854.5789473684[/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]142822.189189189[/C][C]27443.8108108108[/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]85169.9259259259[/C][C]-316.925925925927[/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]85169.9259259259[/C][C]15841.0740740741[/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]142822.189189189[/C][C]24719.8108108108[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]124897.5[/C][C]-18489.5[/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]142822.189189189[/C][C]6289.8108108108[/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]178268.857142857[/C][C]-25397.8571428571[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]124897.5[/C][C]-13232.5[/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]85169.9259259259[/C][C]-6369.92592592593[/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]178268.857142857[/C][C]-9459.85714285713[/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]47452.5454545455[/C][C]17576.4545454545[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]85169.9259259259[/C][C]15927.0740740741[/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]85169.9259259259[/C][C]18427.0740740741[/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]178268.857142857[/C][C]18284.1428571429[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]178268.857142857[/C][C]-4084.85714285713[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]142822.189189189[/C][C]423.810810810799[/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]142822.189189189[/C][C]-23806.1891891892[/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]85169.9259259259[/C][C]-11603.9259259259[/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]178268.857142857[/C][C]-10780.8571428571[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]142822.189189189[/C][C]933.810810810799[/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]142822.189189189[/C][C]40176.8108108108[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]142822.189189189[/C][C]-7173.1891891892[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]142822.189189189[/C][C]9476.8108108108[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]142822.189189189[/C][C]-22601.1891891892[/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]142822.189189189[/C][C]2967.8108108108[/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]85169.9259259259[/C][C]-4216.92592592593[/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]124897.5[/C][C]5687.5[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]85169.9259259259[/C][C]27441.0740740741[/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]98962.4210526316[/C][C]41381.5789473684[/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]178268.857142857[/C][C]-15503.8571428571[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]178268.857142857[/C][C]4344.14285714287[/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]98962.4210526316[/C][C]-13388.4210526316[/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]142822.189189189[/C][C]2143.8108108108[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]65732.56[/C][C]-22445.56[/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]178268.857142857[/C][C]-13559.8571428571[/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]124897.5[/C][C]-25431.5[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]98962.4210526316[/C][C]-6301.42105263157[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]142822.189189189[/C][C]-9494.1891891892[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]85169.9259259259[/C][C]-23808.9259259259[/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]98962.4210526316[/C][C]1787.57894736843[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]178268.857142857[/C][C]46280.1428571429[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]85169.9259259259[/C][C]-2853.92592592593[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]85169.9259259259[/C][C]16840.0740740741[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]142822.189189189[/C][C]-41299.1891891892[/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]47452.5454545455[/C][C]-5886.54545454546[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]178268.857142857[/C][C]-25794.8571428571[/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]142822.189189189[/C][C]-10335.1891891892[/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]47452.5454545455[/C][C]-24804.5454545455[/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]47452.5454545455[/C][C]-754.545454545456[/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]85169.9259259259[/C][C]6565.07407407407[/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]178268.857142857[/C][C]6241.14285714287[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]98962.4210526316[/C][C]-19099.4210526316[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]85169.9259259259[/C][C]43253.0740740741[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]124897.5[/C][C]-27058.5[/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]142822.189189189[/C][C]8278.8108108108[/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]124897.5[/C][C]47596.5[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]98962.4210526316[/C][C]9080.57894736843[/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]124897.5[/C][C]33117.5[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]85169.9259259259[/C][C]13696.0740740741[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]85169.9259259259[/C][C]269.074074074073[/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]85169.9259259259[/C][C]-962.925925925927[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]142822.189189189[/C][C]-22377.1891891892[/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]142822.189189189[/C][C]-11753.1891891892[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]178268.857142857[/C][C]26002.1428571429[/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]142822.189189189[/C][C]-1100.1891891892[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]124897.5[/C][C]-8849.5[/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]142822.189189189[/C][C]-38433.1891891892[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]142822.189189189[/C][C]-6738.1891891892[/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]85169.9259259259[/C][C]7329.07407407407[/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]142822.189189189[/C][C]-7041.1891891892[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]98962.4210526316[/C][C]-24554.4210526316[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]98962.4210526316[/C][C]-17722.4210526316[/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]85169.9259259259[/C][C]10057.0740740741[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]142822.189189189[/C][C]9778.8108108108[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]85169.9259259259[/C][C]12976.0740740741[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]98962.4210526316[/C][C]-19343.4210526316[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]98962.4210526316[/C][C]-39768.4210526316[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]142822.189189189[/C][C]-2880.1891891892[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]98962.4210526316[/C][C]19649.5789473684[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]85169.9259259259[/C][C]-12289.9259259259[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]65732.56[/C][C]-257.559999999998[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]98962.4210526316[/C][C]680.578947368427[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]65732.56[/C][C]6232.44[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]65732.56[/C][C]11539.44[/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]142822.189189189[/C][C]-7691.1891891892[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]142822.189189189[/C][C]-34376.1891891892[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]98962.4210526316[/C][C]-9216.42105263157[/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]85169.9259259259[/C][C]-7521.92592592593[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]142822.189189189[/C][C]38705.8108108108[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]142822.189189189[/C][C]-8803.1891891892[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]85169.9259259259[/C][C]38894.0740740741[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]85169.9259259259[/C][C]7460.07407407407[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]98962.4210526316[/C][C]22885.5789473684[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]65732.56[/C][C]-12817.56[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]65732.56[/C][C]16139.44[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]85169.9259259259[/C][C]-26188.9259259259[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]65732.56[/C][C]-12217.56[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]85169.9259259259[/C][C]-24357.9259259259[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]65732.56[/C][C]-9357.56[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]65732.56[/C][C]-242.559999999998[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]65732.56[/C][C]15216.44[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]85169.9259259259[/C][C]-8867.92592592593[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]142822.189189189[/C][C]-38811.1891891892[/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]65732.56[/C][C]2256.44[/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]47452.5454545455[/C][C]26051.4545454545[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]85169.9259259259[/C][C]-22046.9259259259[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]85169.9259259259[/C][C]-23915.9259259259[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]98962.4210526316[/C][C]-24048.4210526316[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]47452.5454545455[/C][C]-15678.5454545455[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]85169.9259259259[/C][C]-3732.92592592593[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]98962.4210526316[/C][C]-11776.4210526316[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]65732.56[/C][C]-15642.56[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]85169.9259259259[/C][C]-19424.9259259259[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]65732.56[/C][C]-9079.56[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]98962.4210526316[/C][C]59436.5789473684[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]47452.5454545455[/C][C]-997.545454545456[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]85169.9259259259[/C][C]-11545.9259259259[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]47452.5454545455[/C][C]-9057.54545454546[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]85169.9259259259[/C][C]6729.07407407407[/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]65732.56[/C][C]-13568.56[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]65732.56[/C][C]-14165.56[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]85169.9259259259[/C][C]-14618.9259259259[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]85169.9259259259[/C][C]-313.925925925927[/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]65732.56[/C][C]20945.44[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]85169.9259259259[/C][C]539.074074074073[/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]142822.189189189[/C][C]7757.8108108108[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]85169.9259259259[/C][C]14441.0740740741[/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]85169.9259259259[/C][C]14203.0740740741[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]85169.9259259259[/C][C]1060.07407407407[/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]85169.9259259259[/C][C]4636.07407407407[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]65732.56[/C][C]-3644.56[/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]85169.9259259259[/C][C]-8179.92592592593[/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]65732.56[/C][C]-11575.56[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]65732.56[/C][C]-15870.56[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]85169.9259259259[/C][C]-832.925925925927[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]85169.9259259259[/C][C]-20994.9259259259[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]47452.5454545455[/C][C]11929.4545454545[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]65732.56[/C][C]53575.44[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]85169.9259259259[/C][C]-8467.92592592593[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]98962.4210526316[/C][C]4462.57894736843[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]65732.56[/C][C]4611.44[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]47452.5454545455[/C][C]-4042.54545454546[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]85169.9259259259[/C][C]19668.0740740741[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]65732.56[/C][C]-3517.56[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]85169.9259259259[/C][C]-15865.9259259259[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]47452.5454545455[/C][C]5664.45454545454[/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]85169.9259259259[/C][C]1510.07407407407[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]65732.56[/C][C]18372.44[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]85169.9259259259[/C][C]-7224.92592592593[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]85169.9259259259[/C][C]3943.07407407407[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]85169.9259259259[/C][C]5835.07407407407[/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]65732.56[/C][C]-1545.56[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]85169.9259259259[/C][C]-34312.9259259259[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]85169.9259259259[/C][C]-28556.9259259259[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]65732.56[/C][C]-2940.56[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]85169.9259259259[/C][C]-12634.9259259259[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153339&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153339&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
1210907178268.85714285732638.1428571429
2120982124897.5-3915.5
3176508142822.18918918933685.8108108108
4179321227016.525423729-47695.5254237288
512318585169.925925925938015.0740740741
65274639424.133333333313321.8666666667
7385534321098.062564435.9375
83317019387.413782.6
910164585169.925925925916475.0740740741
10149061178268.857142857-29207.8571428571
11165446142822.18918918922623.8108108108
12237213227016.52542372910196.4745762712
13173326142822.18918918930503.8108108108
14133131142822.189189189-9691.1891891892
15258873227016.52542372931856.4745762712
16180083142822.18918918937260.8108108108
17324799321098.06253700.9375
18230964227016.5254237293947.4745762712
19236785227016.5254237299768.4745762712
20135473124897.510575.5
21202925227016.525423729-24091.5254237288
22215147227016.525423729-11869.5254237288
23344297227016.525423729117280.474576271
24153935142822.18918918911112.8108108108
25132943142822.189189189-9879.1891891892
26174724227016.525423729-52292.5254237288
27174415227016.525423729-52601.5254237288
28225548227016.525423729-1468.5254237288
29223632227016.525423729-3384.5254237288
3012481798962.421052631625854.5789473684
31221698227016.525423729-5318.5254237288
32210767227016.525423729-16249.5254237288
33170266142822.18918918927443.8108108108
34260561227016.52542372933544.4745762712
358485385169.9259259259-316.925925925927
36294424227016.52542372967407.4745762712
3710101185169.925925925915841.0740740741
38215641227016.525423729-11375.5254237288
39325107227016.52542372998090.4745762712
40717619387.4-12211.4
41167542142822.18918918924719.8108108108
42106408124897.5-18489.5
4396560153513.315789474-56953.3157894737
44265769227016.52542372938752.4745762712
45269651321098.0625-51447.0625
46149112142822.1891891896289.8108108108
47175824153513.31578947422310.6842105263
48152871178268.857142857-25397.8571428571
49111665124897.5-13232.5
50116408153513.315789474-37105.3157894737
51362301321098.062541202.9375
527880085169.9259259259-6369.92592592593
53183167227016.525423729-43849.5254237288
54277965321098.0625-43133.0625
55150629227016.525423729-76387.5254237288
56168809178268.857142857-9459.85714285713
572418839424.1333333333-15236.1333333333
58329267227016.525423729102250.474576271
596502947452.545454545517576.4545454545
6010109785169.925925925915927.0740740741
61218946227016.525423729-8070.5254237288
62244052227016.52542372917035.4745762712
63341570321098.062520471.9375
6410359785169.925925925918427.0740740741
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
72196553178268.85714285718284.1428571429
73174184178268.857142857-4084.85714285713
74143246142822.189189189423.810810810799
75187559227016.525423729-39457.5254237288
76187681227016.525423729-39335.5254237288
77119016142822.189189189-23806.1891891892
78182192227016.525423729-44824.5254237288
797356685169.9259259259-11603.9259259259
80194979227016.525423729-32037.5254237288
81167488178268.857142857-10780.8571428571
82143756142822.189189189933.810810810799
83275541227016.52542372948524.4745762712
84243199227016.52542372916182.4745762712
85182999142822.18918918940176.8108108108
86135649142822.189189189-7173.1891891892
87152299142822.1891891899476.8108108108
88120221142822.189189189-22601.1891891892
89346485321098.062525386.9375
90145790142822.1891891892967.8108108108
91193339153513.31578947439825.6842105263
928095385169.9259259259-4216.92592592593
93122774153513.315789474-30739.3157894737
94130585124897.55687.5
9511261185169.925925925927441.0740740741
96286468321098.0625-34630.0625
97241066227016.52542372914049.4745762712
98148446227016.525423729-78570.5254237288
99204713227016.525423729-22303.5254237288
100182079227016.525423729-44937.5254237288
10114034498962.421052631641381.5789473684
102220516227016.525423729-6500.5254237288
103243060227016.52542372916043.4745762712
104162765178268.857142857-15503.8571428571
105182613178268.8571428574344.14285714287
106232138227016.5254237295121.4745762712
107265318321098.0625-55780.0625
1088557498962.4210526316-13388.4210526316
109310839321098.0625-10259.0625
110225060227016.525423729-1956.5254237288
111232317227016.5254237295300.4745762712
112144966142822.1891891892143.8108108108
1134328765732.56-22445.56
114155754153513.3157894742240.68421052632
115164709178268.857142857-13559.8571428571
116201940227016.525423729-25076.5254237288
117235454227016.5254237298437.4745762712
118220801153513.31578947467287.6842105263
11999466124897.5-25431.5
1209266198962.4210526316-6301.42105263157
121133328142822.189189189-9494.1891891892
1226136185169.9259259259-23808.9259259259
123125930153513.315789474-27583.3157894737
12410075098962.42105263161787.57894736843
125224549178268.85714285746280.1428571429
1268231685169.9259259259-2853.92592592593
12710201085169.925925925916840.0740740741
128101523142822.189189189-41299.1891891892
129243511227016.52542372916494.4745762712
1302293819387.43550.6
1314156647452.5454545455-5886.54545454546
132152474178268.857142857-25794.8571428571
1336185739424.133333333322432.8666666667
13499923153513.315789474-53590.3157894737
135132487142822.189189189-10335.1891891892
136317394227016.52542372990377.4745762712
1372105419387.41666.6
138209641153513.31578947456127.6842105263
1392264847452.5454545455-24804.5454545455
1403141439424.1333333333-8010.13333333333
1414669847452.5454545455-754.545454545456
142131698153513.315789474-21815.3157894737
1439173585169.92592592596565.07407407407
144244749227016.52542372917732.4745762712
145184510178268.8571428576241.14285714287
1467986398962.4210526316-19099.4210526316
14712842385169.925925925943253.0740740741
14897839124897.5-27058.5
1493821439424.1333333333-1210.13333333333
150151101142822.1891891898278.8108108108
151272458227016.52542372945441.4745762712
152172494124897.547596.5
15310804398962.42105263169080.57894736843
154328107321098.06257008.9375
155250579227016.52542372923562.4745762712
156351067321098.062529968.9375
157158015124897.533117.5
1589886685169.925925925913696.0740740741
1598543985169.9259259259269.074074074073
160229242227016.5254237292225.4745762712
161351619321098.062530520.9375
1628420785169.9259259259-962.925925925927
163120445142822.189189189-22377.1891891892
164324598321098.06253499.9375
165131069142822.189189189-11753.1891891892
166204271178268.85714285726002.1428571429
167165543227016.525423729-61473.5254237288
168141722142822.189189189-1100.1891891892
169116048124897.5-8849.5
170250047153513.31578947496533.6842105263
171299775321098.0625-21323.0625
172195838227016.525423729-31178.5254237288
173173260153513.31578947419746.6842105263
174254488227016.52542372927471.4745762712
175104389142822.189189189-38433.1891891892
176136084142822.189189189-6738.1891891892
177199476227016.525423729-27540.5254237288
1789249985169.92592592597329.07407407407
179224330227016.525423729-2686.5254237288
180135781142822.189189189-7041.1891891892
1817440898962.4210526316-24554.4210526316
1828124098962.4210526316-17722.4210526316
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
1909522785169.925925925910057.0740740741
191152601142822.1891891899778.8108108108
1929814685169.925925925912976.0740740741
1937961998962.4210526316-19343.4210526316
1945919498962.4210526316-39768.4210526316
195139942142822.189189189-2880.1891891892
19611861298962.421052631619649.5789473684
1977288085169.9259259259-12289.9259259259
1986547565732.56-257.559999999998
1999964398962.4210526316680.578947368427
2007196565732.566232.44
2017727265732.5611539.44
2024928939424.13333333339864.86666666667
203135131142822.189189189-7691.1891891892
204108446142822.189189189-34376.1891891892
2058974698962.4210526316-9216.42105263157
2064429639424.13333333334871.86666666667
2077764885169.9259259259-7521.92592592593
208181528142822.18918918938705.8108108108
209134019142822.189189189-8803.1891891892
21012406485169.925925925938894.0740740741
2119263085169.92592592597460.07407407407
21212184898962.421052631622885.5789473684
2135291565732.56-12817.56
2148187265732.5616139.44
2155898185169.9259259259-26188.9259259259
2165351565732.56-12217.56
2176081285169.9259259259-24357.9259259259
2185637565732.56-9357.56
2196549065732.56-242.559999999998
2208094965732.5615216.44
2217630285169.9259259259-8867.92592592593
222104011142822.189189189-38811.1891891892
22398104153513.315789474-55409.3157894737
2246798965732.562256.44
2253098919387.411601.6
226135458153513.315789474-18055.3157894737
2277350447452.545454545526051.4545454545
2286312385169.9259259259-22046.9259259259
2296125485169.9259259259-23915.9259259259
2307491498962.4210526316-24048.4210526316
2313177447452.5454545455-15678.5454545455
2328143785169.9259259259-3732.92592592593
2338718698962.4210526316-11776.4210526316
2345009065732.56-15642.56
2356574585169.9259259259-19424.9259259259
2365665365732.56-9079.56
23715839998962.421052631659436.5789473684
2384645547452.5454545455-997.545454545456
2397362485169.9259259259-11545.9259259259
2403839547452.5454545455-9057.54545454546
2419189985169.92592592596729.07407407407
242139526153513.315789474-13987.3157894737
2435216465732.56-13568.56
2445156765732.56-14165.56
2457055185169.9259259259-14618.9259259259
2468485685169.9259259259-313.925925925927
247102538153513.315789474-50975.3157894737
2488667865732.5620945.44
2498570985169.9259259259539.074074074073
2503466239424.1333333333-4762.13333333333
251150580142822.1891891897757.8108108108
2529961185169.925925925914441.0740740741
2531934919387.4-38.4000000000015
2549937385169.925925925914203.0740740741
2558623085169.92592592591060.07407407407
2563083739424.1333333333-8587.13333333333
2573170639424.1333333333-7718.13333333333
2588980685169.92592592594636.07407407407
2596208865732.56-3644.56
2604015139424.1333333333726.866666666669
2612763439424.1333333333-11790.1333333333
2627699085169.9259259259-8179.92592592593
2633746039424.1333333333-1964.13333333333
2645415765732.56-11575.56
2654986265732.56-15870.56
2668433785169.9259259259-832.925925925927
2676417585169.9259259259-20994.9259259259
2685938247452.545454545511929.4545454545
26911930865732.5653575.44
2707670285169.9259259259-8467.92592592593
27110342598962.42105263164462.57894736843
2727034465732.564611.44
2734341047452.5454545455-4042.54545454546
27410483885169.925925925919668.0740740741
2756221565732.56-3517.56
2766930485169.9259259259-15865.9259259259
2775311747452.54545454555664.45454545454
2781976419387.4376.599999999999
2798668085169.92592592591510.07407407407
2808410565732.5618372.44
2817794585169.9259259259-7224.92592592593
2828911385169.92592592593943.07407407407
2839100585169.92592592595835.07407407407
2844024839424.1333333333823.866666666669
2856418765732.56-1545.56
2865085785169.9259259259-34312.9259259259
2875661385169.9259259259-28556.9259259259
2886279265732.56-2940.56
2897253585169.9259259259-12634.9259259259


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = none ; par3 = 5 ; par4 = no ;
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')
}