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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 computationWed, 14 Dec 2011 09:44:55 -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/14/t1323873956m78tstv6a83raua.htm/, Retrieved Wed, 01 May 2024 22:37:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155011, Retrieved Wed, 01 May 2024 22:37:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69

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 18:59:57] [b98453cac15ba1066b407e146608df68]
- R PD    [Recursive Partitioning (Regression Trees)] [] [2011-12-14 14:44:55] [38f0c551da22b29428835e369961555f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1418	210907	56	396	81	3	79	30	115	94
869	120982	56	297	55	4	58	28	109	103
1530	176508	54	559	50	12	60	38	146	93
2172	179321	89	967	125	2	108	30	116	103
901	123185	40	270	40	1	49	22	68	51
463	52746	25	143	37	3	0	26	101	70
3201	385534	92	1562	63	0	121	25	96	91
371	33170	18	109	44	0	1	18	67	22
1192	101645	63	371	88	0	20	11	44	38
1583	149061	44	656	66	5	43	26	100	93
1439	165446	33	511	57	0	69	25	93	60
1764	237213	84	655	74	0	78	38	140	123
1495	173326	88	465	49	7	86	44	166	148
1373	133131	55	525	52	7	44	30	99	90
2187	258873	60	885	88	3	104	40	139	124
1491	180083	66	497	36	9	63	34	130	70
4041	324799	154	1436	108	0	158	47	181	168
1706	230964	53	612	43	4	102	30	116	115
2152	236785	119	865	75	3	77	31	116	71
1036	135473	41	385	32	0	82	23	88	66
1882	202925	61	567	44	7	115	36	139	134
1929	215147	58	639	85	0	101	36	135	117
2242	344297	75	963	86	1	80	30	108	108
1220	153935	33	398	56	5	50	25	89	84
1289	132943	40	410	50	7	83	39	156	156
2515	174724	92	966	135	0	123	34	129	120
2147	174415	100	801	63	0	73	31	118	114
2352	225548	112	892	81	5	81	31	118	94
1638	223632	73	513	52	0	105	33	125	120
1222	124817	40	469	44	0	47	25	95	81
1812	221698	45	683	113	0	105	33	126	110
1677	210767	60	643	39	3	94	35	135	133
1579	170266	62	535	73	4	44	42	154	122
1731	260561	75	625	48	1	114	43	165	158
807	84853	31	264	33	4	38	30	113	109
2452	294424	77	992	59	2	107	33	127	124
829	101011	34	238	41	0	30	13	52	39
1940	215641	46	818	69	0	71	32	121	92
2662	325107	99	937	64	0	84	36	136	126
186	7176	17	70	1	0	0	0	0	0
1499	167542	66	507	59	2	59	28	108	70
865	106408	30	260	32	1	33	14	46	37
1793	96560	76	503	129	0	42	17	54	38
2527	265769	146	927	37	2	96	32	124	120
2747	269651	67	1269	31	10	106	30	115	93
1324	149112	56	537	65	6	56	35	128	95
2702	175824	107	910	107	0	57	20	80	77
1383	152871	58	532	74	5	59	28	97	90
1179	111665	34	345	54	4	39	28	104	80
2099	116408	61	918	76	1	34	39	59	31
4308	362301	119	1635	715	2	76	34	125	110
918	78800	42	330	57	2	20	26	82	66
1831	183167	66	557	66	0	91	39	149	138
3373	277965	89	1178	106	8	115	39	149	133
1713	150629	44	740	54	3	85	33	122	113
1438	168809	66	452	32	0	76	28	118	100
496	24188	24	218	20	0	8	4	12	7
2253	329267	259	764	71	8	79	39	144	140
744	65029	17	255	21	5	21	18	67	61
1161	101097	64	454	70	3	30	14	52	41
2352	218946	41	866	112	1	76	29	108	96
2144	244052	68	574	66	5	101	44	166	164
4691	341570	168	1276	190	1	94	21	80	78
1112	103597	43	379	66	1	27	16	60	49
2694	233328	132	825	165	5	92	28	107	102
1973	256462	105	798	56	0	123	35	127	124
1769	206161	71	663	61	12	75	28	107	99
3148	311473	112	1069	53	8	128	38	146	129
2474	235800	94	921	127	8	105	23	84	62
2084	177939	82	858	63	8	55	36	141	73
1954	207176	70	711	38	8	56	32	123	114
1226	196553	57	503	50	2	41	29	111	99
1389	174184	53	382	52	0	72	25	98	70
1496	143246	103	464	42	5	67	27	105	104
2269	187559	121	717	76	8	75	36	135	116
1833	187681	62	690	67	2	114	28	107	91
1268	119016	52	462	50	5	118	23	85	74
1943	182192	52	657	53	12	77	40	155	138
893	73566	32	385	39	6	22	23	88	67
1762	194979	62	577	50	7	66	40	155	151
1403	167488	45	619	77	2	69	28	104	72
1425	143756	46	479	57	0	105	34	132	120
1857	275541	63	817	73	4	116	33	127	115
1840	243199	75	752	34	3	88	28	108	105
1502	182999	88	430	39	6	73	34	129	104
1441	135649	46	451	46	2	99	30	116	108
1420	152299	53	537	63	0	62	33	122	98
1416	120221	37	519	35	1	53	22	85	69
2970	346485	90	1000	106	0	118	38	147	111
1317	145790	63	637	43	5	30	26	99	99
1644	193339	78	465	47	2	100	35	87	71
870	80953	25	437	31	0	49	8	28	27
1654	122774	45	711	162	0	24	24	90	69
1054	130585	46	299	57	5	67	29	109	107
937	112611	41	248	36	0	46	20	78	73
3004	286468	144	1162	263	1	57	29	111	107
2008	241066	82	714	78	0	75	45	158	93
2547	148446	91	905	63	1	135	37	141	129
1885	204713	71	649	54	1	68	33	122	69
1626	182079	63	512	63	2	124	33	124	118
1468	140344	53	472	77	6	33	25	93	73
2445	220516	62	905	79	1	98	32	124	119
1964	243060	63	786	110	4	58	29	112	104
1381	162765	32	489	56	2	68	28	108	107
1369	182613	39	479	56	3	81	28	99	99
1659	232138	62	617	43	0	131	31	117	90
2888	265318	117	925	111	10	110	52	199	197
1290	85574	34	351	71	0	37	21	78	36
2845	310839	92	1144	62	9	130	24	91	85
1982	225060	93	669	56	7	93	41	158	139
1904	232317	54	707	74	0	118	33	126	106
1391	144966	144	458	60	0	39	32	122	50
602	43287	14	214	43	4	13	19	71	64
1743	155754	61	599	68	4	74	20	75	31
1559	164709	109	572	53	0	81	31	115	63
2014	201940	38	897	87	0	109	31	119	92
2143	235454	73	819	46	0	151	32	124	106
2146	220801	75	720	105	1	51	18	72	63
874	99466	50	273	32	0	28	23	91	69
1590	92661	61	508	133	1	40	17	45	41
1590	133328	55	506	79	0	56	20	78	56
1210	61361	77	451	51	0	27	12	39	25
2072	125930	75	699	207	4	37	17	68	65
1281	100750	72	407	67	0	83	30	119	93
1401	224549	50	465	47	4	54	31	117	114
834	82316	32	245	34	4	27	10	39	38
1105	102010	53	370	66	3	28	13	50	44
1272	101523	42	316	76	0	59	22	88	87
1944	243511	71	603	65	0	133	42	155	110
391	22938	10	154	9	0	12	1	0	0
761	41566	35	229	42	5	0	9	36	27
1605	152474	65	577	45	0	106	32	123	83
530	61857	25	192	25	4	23	11	32	30
1988	99923	66	617	115	0	44	25	99	80
1386	132487	41	411	97	0	71	36	136	98
2395	317394	86	975	53	1	116	31	117	82
387	21054	16	146	2	0	4	0	0	0
1742	209641	42	705	52	5	62	24	88	60
620	22648	19	184	44	0	12	13	39	28
449	31414	19	200	22	0	18	8	25	9
800	46698	45	274	35	0	14	13	52	33
1684	131698	65	502	74	0	60	19	75	59
1050	91735	35	382	103	0	7	18	71	49
2699	244749	95	964	144	2	98	33	124	115
1606	184510	49	537	60	7	64	40	151	140
1502	79863	37	438	134	1	29	22	71	49
1204	128423	64	369	89	8	32	38	145	120
1138	97839	38	417	42	2	25	24	87	66
568	38214	34	276	52	0	16	8	27	21
1459	151101	32	514	98	2	48	35	131	124
2158	272458	65	822	99	0	100	43	162	152
1111	172494	52	389	52	0	46	43	165	139
1421	108043	62	466	29	1	45	14	54	38
2833	328107	65	1255	125	3	129	41	159	144
1955	250579	83	694	106	0	130	38	147	120
2922	351067	95	1024	95	3	136	45	170	160
1002	158015	29	400	40	0	59	31	119	114
1060	98866	18	397	140	0	25	13	49	39
956	85439	33	350	43	0	32	28	104	78
2186	229242	247	719	128	4	63	31	120	119
3604	351619	139	1277	142	4	95	40	150	141
1035	84207	29	356	73	11	14	30	112	101
1417	120445	118	457	72	0	36	16	59	56
3261	324598	110	1402	128	0	113	37	136	133
1587	131069	67	600	61	4	47	30	107	83
1424	204271	42	480	73	0	92	35	130	116
1701	165543	65	595	148	1	70	32	115	90
1249	141722	94	436	64	0	19	27	107	36
946	116048	64	230	45	0	50	20	75	50
1926	250047	81	651	58	0	41	18	71	61
3352	299775	95	1367	97	9	91	31	120	97
1641	195838	67	564	50	1	111	31	116	98
2035	173260	63	716	37	3	41	21	79	78
2312	254488	83	747	50	10	120	39	150	117
1369	104389	45	467	105	5	135	41	156	148
1577	136084	30	671	69	0	27	13	51	41
2201	199476	70	861	46	2	87	32	118	105
961	92499	32	319	57	0	25	18	71	55
1900	224330	83	612	52	1	131	39	144	132
1254	135781	31	433	98	2	45	14	47	44
1335	74408	67	434	61	4	29	7	28	21
1597	81240	66	503	89	0	58	17	68	50
207	14688	10	85	0	0	4	0	0	0
1645	181633	70	564	48	2	47	30	110	73
2429	271856	103	824	91	1	109	37	147	86
151	7199	5	74	0	0	7	0	0	0
474	46660	20	259	7	0	12	5	15	13
141	17547	5	69	3	0	0	1	4	4
1639	133368	36	535	54	1	37	16	64	57
872	95227	34	239	70	0	37	32	111	48
1318	152601	48	438	36	2	46	24	85	46
1018	98146	40	459	37	0	15	17	68	48
1383	79619	43	426	123	3	42	11	40	32
1314	59194	31	288	247	6	7	24	80	68
1335	139942	42	498	46	0	54	22	88	87
1403	118612	46	454	72	2	54	12	48	43
910	72880	33	376	41	0	14	19	76	67
616	65475	18	225	24	2	16	13	51	46
1407	99643	55	555	45	1	33	17	67	46
771	71965	35	252	33	1	32	15	59	56
766	77272	59	208	27	2	21	16	61	48
473	49289	19	130	36	1	15	24	76	44
1376	135131	66	481	87	0	38	15	60	60
1232	108446	60	389	90	1	22	17	68	65
1521	89746	36	565	114	3	28	18	71	55
572	44296	25	173	31	0	10	20	76	38
1059	77648	47	278	45	0	31	16	62	52
1544	181528	54	609	69	0	32	16	61	60
1230	134019	53	422	51	0	32	18	67	54
1206	124064	40	445	34	1	43	22	88	86
1205	92630	40	387	60	4	27	8	30	24
1255	121848	39	339	45	0	37	17	64	52
613	52915	14	181	54	0	20	18	68	49
721	81872	45	245	25	0	32	16	64	61
1109	58981	36	384	38	7	0	23	91	61
740	53515	28	212	52	2	5	22	88	81
1126	60812	44	399	67	0	26	13	52	43
728	56375	30	229	74	7	10	13	49	40
689	65490	22	224	38	3	27	16	62	40
592	80949	17	203	30	0	11	16	61	56
995	76302	31	333	26	0	29	20	76	68
1613	104011	55	384	67	6	25	22	88	79
2048	98104	54	636	132	2	55	17	66	47
705	67989	21	185	42	0	23	18	71	57
301	30989	14	93	35	0	5	17	68	41
1803	135458	81	581	118	3	43	12	48	29
799	73504	35	248	68	0	23	7	25	3
861	63123	43	304	43	1	34	17	68	60
1186	61254	46	344	76	1	36	14	41	30
1451	74914	30	407	64	0	35	23	90	79
628	31774	23	170	48	1	0	17	66	47
1161	81437	38	312	64	0	37	14	54	40
1463	87186	54	507	56	0	28	15	59	48
742	50090	20	224	71	0	16	17	60	36
979	65745	53	340	75	0	26	21	77	42
675	56653	45	168	39	0	38	18	68	49
1241	158399	39	443	42	0	23	18	72	57
676	46455	20	204	39	0	22	17	67	12
1049	73624	24	367	93	0	30	17	64	40
620	38395	31	210	38	0	16	16	63	43
1081	91899	35	335	60	0	18	15	59	33
1688	139526	151	364	71	0	28	21	84	77
736	52164	52	178	52	0	32	16	64	43
617	51567	30	206	27	2	21	14	56	45
812	70551	31	279	59	0	23	15	54	47
1051	84856	29	387	40	1	29	17	67	43
1656	102538	57	490	79	1	50	15	58	45
705	86678	40	238	44	0	12	15	59	50
945	85709	44	343	65	0	21	10	40	35
554	34662	25	232	10	0	18	6	22	7
1597	150580	77	530	124	0	27	22	83	71
982	99611	35	291	81	0	41	21	81	67
222	19349	11	67	15	0	13	1	2	0
1212	99373	63	397	92	1	12	18	72	62
1143	86230	44	467	42	0	21	17	61	54
435	30837	19	178	10	0	8	4	15	4
532	31706	13	175	24	0	26	10	32	25
882	89806	42	299	64	0	27	16	62	40
608	62088	38	154	45	1	13	16	58	38
459	40151	29	106	22	0	16	9	36	19
578	27634	20	189	56	0	2	16	59	17
826	76990	27	194	94	0	42	17	68	67
509	37460	20	135	19	0	5	7	21	14
717	54157	19	201	35	0	37	15	55	30
637	49862	37	207	32	0	17	14	54	54
857	84337	26	280	35	0	38	14	55	35
830	64175	42	260	48	0	37	18	72	59
652	59382	49	227	49	0	29	12	41	24
707	119308	30	239	48	0	32	16	61	58
954	76702	49	333	62	0	35	21	67	42
1461	103425	67	428	96	1	17	19	76	46
672	70344	28	230	45	0	20	16	64	61
778	43410	19	292	63	0	7	1	3	3
1141	104838	49	350	71	1	46	16	63	52
680	62215	27	186	26	0	24	10	40	25
1090	69304	30	326	48	6	40	19	69	40
616	53117	22	155	29	3	3	12	48	32
285	19764	12	75	19	1	10	2	8	4
1145	86680	31	361	45	2	37	14	52	49
733	84105	20	261	45	0	17	17	66	63
888	77945	20	299	67	0	28	19	76	67
849	89113	39	300	30	0	19	14	43	32
1182	91005	29	450	36	3	29	11	39	23
528	40248	16	183	34	1	8	4	14	7
642	64187	27	238	36	0	10	16	61	54
947	50857	21	165	34	0	15	20	71	37
819	56613	19	234	37	1	15	12	44	35
757	62792	35	176	46	0	28	15	60	51
894	72535	14	329	44	0	17	16	64	39

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 7 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155011&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155011&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155011&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Goodness of Fit
Correlation0.9374
R-squared0.8787
RMSE28632.2135

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.9374 \tabularnewline
R-squared & 0.8787 \tabularnewline
RMSE & 28632.2135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155011&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.9374[/C][/ROW]
[ROW][C]R-squared[/C][C]0.8787[/C][/ROW]
[ROW][C]RMSE[/C][C]28632.2135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155011&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155011&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
Correlation0.9374
R-squared0.8787
RMSE28632.2135






Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
1210907158408.02631578952498.9736842105
2120982123920.888888889-2938.88888888889
3176508158408.02631578918099.9736842105
4179321224956.465517241-45635.4655172414
5123185106213.62516971.375
65274639424.133333333313321.8666666667
7385534322592.29411764762941.705882353
83317019387.413782.6
910164582620.297872340419024.7021276596
10149061158408.026315789-9347.02631578947
11165446158408.0263157897037.97368421053
12237213224956.46551724112256.5344827586
13173326158408.02631578914917.9736842105
14133131158408.026315789-25277.0263157895
15258873224956.46551724133916.5344827586
16180083158408.02631578921674.9736842105
17324799322592.2941176472206.70588235295
18230964224956.4655172416007.53448275861
19236785224956.46551724111828.5344827586
20135473106213.62529259.375
21202925224956.465517241-22031.4655172414
22215147224956.465517241-9809.46551724139
23344297224956.465517241119340.534482759
24153935113780.187540154.8125
25132943158408.026315789-25465.0263157895
26174724224956.465517241-50232.4655172414
27174415224956.465517241-50541.4655172414
28225548224956.465517241591.534482758609
29223632224956.465517241-1324.46551724139
30124817158408.026315789-33591.0263157895
31221698224956.465517241-3258.46551724139
32210767224956.465517241-14189.4655172414
33170266158408.02631578911857.9736842105
34260561224956.46551724135604.5344827586
3584853123920.888888889-39067.8888888889
36294424322592.294117647-28168.294117647
3710101182620.297872340418390.7021276596
38215641224956.465517241-9315.46551724139
39325107224956.465517241100150.534482759
40717619387.4-12211.4
41167542158408.0263157899133.97368421053
4210640882620.297872340423787.7021276596
4396560153513.315789474-56953.3157894737
44265769224956.46551724140812.5344827586
45269651322592.294117647-52941.294117647
46149112158408.026315789-9296.02631578947
47175824153513.31578947422310.6842105263
48152871158408.026315789-5537.02631578947
49111665123920.888888889-12255.8888888889
50116408153513.315789474-37105.3157894737
51362301322592.29411764739708.705882353
527880082620.2978723404-3820.29787234042
53183167224956.465517241-41789.4655172414
54277965322592.294117647-44627.294117647
55150629224956.465517241-74327.4655172414
56168809158408.02631578910400.9736842105
572418839424.1333333333-15236.1333333333
58329267224956.465517241104310.534482759
5965029601474882
6010109782620.297872340418476.7021276596
61218946224956.465517241-6010.46551724139
62244052224956.46551724119095.5344827586
63341570322592.29411764718977.705882353
6410359782620.297872340420976.7021276596
65233328224956.4655172418371.53448275861
66256462224956.46551724131505.5344827586
67206161224956.465517241-18795.4655172414
68311473322592.294117647-11119.294117647
69235800153513.31578947482286.6842105263
70177939224956.465517241-47017.4655172414
71207176224956.465517241-17780.4655172414
72196553158408.02631578938144.9736842105
73174184158408.02631578915775.9736842105
74143246158408.026315789-15162.0263157895
75187559224956.465517241-37397.4655172414
76187681224956.465517241-37275.4655172414
77119016113780.18755235.8125
78182192224956.465517241-42764.4655172414
797356682620.2978723404-9054.29787234042
80194979224956.465517241-29977.4655172414
81167488158408.0263157899079.97368421053
82143756158408.026315789-14652.0263157895
83275541224956.46551724150584.5344827586
84243199224956.46551724118242.5344827586
85182999158408.02631578924590.9736842105
86135649158408.026315789-22759.0263157895
87152299158408.026315789-6109.02631578947
88120221113780.18756440.8125
89346485322592.29411764723892.705882353
90145790158408.026315789-12618.0263157895
91193339153513.31578947439825.6842105263
9280953106213.625-25260.625
93122774153513.315789474-30739.3157894737
94130585123920.8888888896664.11111111111
95112611106213.6256397.375
96286468322592.294117647-36124.294117647
97241066224956.46551724116109.5344827586
98148446224956.465517241-76510.4655172414
99204713224956.465517241-20243.4655172414
100182079224956.465517241-42877.4655172414
101140344158408.026315789-18064.0263157895
102220516224956.465517241-4440.46551724139
103243060224956.46551724118103.5344827586
104162765158408.0263157894356.97368421053
105182613158408.02631578924204.9736842105
106232138224956.4655172417181.53448275861
107265318224956.46551724140361.5344827586
10885574113780.1875-28206.1875
109310839322592.294117647-11753.294117647
110225060224956.465517241103.534482758609
111232317224956.4655172417360.53448275861
112144966158408.026315789-13442.0263157895
1134328760147-16860
114155754153513.3157894742240.68421052632
115164709158408.0263157896300.97368421053
116201940224956.465517241-23016.4655172414
117235454224956.46551724110497.5344827586
118220801153513.31578947467287.6842105263
1199946682620.297872340416845.7021276596
12092661113780.1875-21119.1875
121133328113780.187519547.8125
1226136182620.2978723404-21259.2978723404
123125930153513.315789474-27583.3157894737
124100750158408.026315789-57658.0263157895
125224549158408.02631578966140.9736842105
1268231682620.2978723404-304.297872340423
12710201082620.297872340419389.7021276596
128101523113780.1875-12257.1875
129243511224956.46551724118554.5344827586
1302293819387.43550.6
1314156660147-18581
132152474158408.026315789-5934.02631578947
1336185739424.133333333322432.8666666667
13499923153513.315789474-53590.3157894737
135132487158408.026315789-25921.0263157895
136317394322592.294117647-5198.29411764705
1372105419387.41666.6
138209641153513.31578947456127.6842105263
1392264860147-37499
1403141439424.1333333333-8010.13333333333
1414669860147-13449
142131698153513.315789474-21815.3157894737
1439173582620.29787234049114.70212765958
144244749224956.46551724119792.5344827586
145184510158408.02631578926101.9736842105
14679863113780.1875-33917.1875
147128423123920.8888888894502.11111111111
1489783982620.297872340415218.7021276596
1493821439424.1333333333-1210.13333333333
150151101158408.026315789-7307.02631578947
151272458224956.46551724147501.5344827586
152172494123920.88888888948573.1111111111
153108043113780.1875-5737.1875
154328107322592.2941176475514.70588235295
155250579224956.46551724125622.5344827586
156351067322592.29411764728474.705882353
157158015123920.88888888934094.1111111111
1589886682620.297872340416245.7021276596
1598543982620.29787234042818.70212765958
160229242224956.4655172414285.53448275861
161351619322592.29411764729026.705882353
16284207123920.888888889-39713.8888888889
163120445113780.18756664.8125
164324598322592.2941176472005.70588235295
165131069158408.026315789-27339.0263157895
166204271158408.02631578945862.9736842105
167165543224956.465517241-59413.4655172414
168141722158408.026315789-16686.0263157895
169116048106213.6259834.375
170250047153513.31578947496533.6842105263
171299775322592.294117647-22817.294117647
172195838224956.465517241-29118.4655172414
173173260153513.31578947419746.6842105263
174254488224956.46551724129531.5344827586
175104389158408.026315789-54019.0263157895
176136084113780.187522303.8125
177199476224956.465517241-25480.4655172414
1789249982620.29787234049878.70212765958
179224330224956.465517241-626.465517241391
180135781113780.187522000.8125
18174408113780.1875-39372.1875
18281240113780.1875-32540.1875
1831468819387.4-4699.4
184181633224956.465517241-43323.4655172414
185271856224956.46551724146899.5344827586
186719919387.4-12188.4
1874666039424.13333333337235.86666666667
1881754719387.4-1840.4
189133368153513.315789474-20145.3157894737
1909522782620.297872340412606.7021276596
191152601113780.187538820.8125
1929814682620.297872340415525.7021276596
19379619113780.1875-34161.1875
19459194113780.1875-54586.1875
195139942113780.187526161.8125
196118612113780.18754831.8125
1977288082620.2978723404-9740.29787234042
19865475601475328
19999643113780.1875-14137.1875
200719656014711818
201772726014717125
2024928939424.13333333339864.86666666667
203135131113780.187521350.8125
204108446113780.1875-5334.1875
20589746113780.1875-24034.1875
2064429639424.13333333334871.86666666667
2077764882620.2978723404-4972.29787234042
208181528113780.187567747.8125
209134019113780.187520238.8125
210124064123920.888888889143.111111111109
2119263082620.297872340410009.7021276596
212121848113780.18758067.8125
2135291560147-7232
214818726014721725
2155898182620.2978723404-23639.2978723404
2165351560147-6632
2176081282620.2978723404-21808.2978723404
2185637560147-3772
21965490601475343
220809496014720802
2217630282620.2978723404-6318.29787234042
222104011113780.1875-9769.1875
22398104153513.315789474-55409.3157894737
22467989601477842
2253098919387.411601.6
226135458153513.315789474-18055.3157894737
227735046014713357
2286312382620.2978723404-19497.2978723404
2296125482620.2978723404-21366.2978723404
23074914113780.1875-38866.1875
2313177460147-28373
2328143782620.2978723404-1183.29787234042
23387186113780.1875-26594.1875
2345009060147-10057
2356574582620.2978723404-16875.2978723404
2365665360147-3494
237158399113780.187544618.8125
2384645560147-13692
2397362482620.2978723404-8996.29787234042
2403839560147-21752
2419189982620.29787234049278.70212765958
242139526153513.315789474-13987.3157894737
2435216460147-7983
2445156760147-8580
2457055182620.2978723404-12069.2978723404
2468485682620.29787234042235.70212765958
247102538153513.315789474-50975.3157894737
248866786014726531
2498570982620.29787234043088.70212765958
2503466239424.1333333333-4762.13333333333
251150580113780.187536799.8125
25299611106213.625-6602.625
2531934919387.4-38.4000000000015
2549937382620.297872340416752.7021276596
2558623082620.29787234043609.70212765958
2563083739424.1333333333-8587.13333333333
2573170639424.1333333333-7718.13333333333
2588980682620.29787234047185.70212765958
25962088601471941
2604015139424.1333333333726.866666666669
2612763439424.1333333333-11790.1333333333
26276990106213.625-29223.625
2633746039424.1333333333-1964.13333333333
2645415760147-5990
2654986260147-10285
2668433782620.29787234041716.70212765958
2676417582620.2978723404-18445.2978723404
2685938260147-765
2691193086014759161
2707670282620.2978723404-5918.29787234042
271103425113780.1875-10355.1875
272703446014710197
2734341060147-16737
274104838106213.625-1375.625
27562215601472068
2766930482620.2978723404-13316.2978723404
2775311760147-7030
2781976419387.4376.599999999999
2798668082620.29787234044059.70212765958
280841056014723958
2817794582620.2978723404-4675.29787234042
2828911382620.29787234046492.70212765958
2839100582620.29787234048384.70212765958
2844024839424.1333333333823.866666666669
28564187601474040
2865085782620.2978723404-31763.2978723404
2875661382620.2978723404-26007.2978723404
28862792601472645
2897253582620.2978723404-10085.2978723404

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 210907 & 158408.026315789 & 52498.9736842105 \tabularnewline
2 & 120982 & 123920.888888889 & -2938.88888888889 \tabularnewline
3 & 176508 & 158408.026315789 & 18099.9736842105 \tabularnewline
4 & 179321 & 224956.465517241 & -45635.4655172414 \tabularnewline
5 & 123185 & 106213.625 & 16971.375 \tabularnewline
6 & 52746 & 39424.1333333333 & 13321.8666666667 \tabularnewline
7 & 385534 & 322592.294117647 & 62941.705882353 \tabularnewline
8 & 33170 & 19387.4 & 13782.6 \tabularnewline
9 & 101645 & 82620.2978723404 & 19024.7021276596 \tabularnewline
10 & 149061 & 158408.026315789 & -9347.02631578947 \tabularnewline
11 & 165446 & 158408.026315789 & 7037.97368421053 \tabularnewline
12 & 237213 & 224956.465517241 & 12256.5344827586 \tabularnewline
13 & 173326 & 158408.026315789 & 14917.9736842105 \tabularnewline
14 & 133131 & 158408.026315789 & -25277.0263157895 \tabularnewline
15 & 258873 & 224956.465517241 & 33916.5344827586 \tabularnewline
16 & 180083 & 158408.026315789 & 21674.9736842105 \tabularnewline
17 & 324799 & 322592.294117647 & 2206.70588235295 \tabularnewline
18 & 230964 & 224956.465517241 & 6007.53448275861 \tabularnewline
19 & 236785 & 224956.465517241 & 11828.5344827586 \tabularnewline
20 & 135473 & 106213.625 & 29259.375 \tabularnewline
21 & 202925 & 224956.465517241 & -22031.4655172414 \tabularnewline
22 & 215147 & 224956.465517241 & -9809.46551724139 \tabularnewline
23 & 344297 & 224956.465517241 & 119340.534482759 \tabularnewline
24 & 153935 & 113780.1875 & 40154.8125 \tabularnewline
25 & 132943 & 158408.026315789 & -25465.0263157895 \tabularnewline
26 & 174724 & 224956.465517241 & -50232.4655172414 \tabularnewline
27 & 174415 & 224956.465517241 & -50541.4655172414 \tabularnewline
28 & 225548 & 224956.465517241 & 591.534482758609 \tabularnewline
29 & 223632 & 224956.465517241 & -1324.46551724139 \tabularnewline
30 & 124817 & 158408.026315789 & -33591.0263157895 \tabularnewline
31 & 221698 & 224956.465517241 & -3258.46551724139 \tabularnewline
32 & 210767 & 224956.465517241 & -14189.4655172414 \tabularnewline
33 & 170266 & 158408.026315789 & 11857.9736842105 \tabularnewline
34 & 260561 & 224956.465517241 & 35604.5344827586 \tabularnewline
35 & 84853 & 123920.888888889 & -39067.8888888889 \tabularnewline
36 & 294424 & 322592.294117647 & -28168.294117647 \tabularnewline
37 & 101011 & 82620.2978723404 & 18390.7021276596 \tabularnewline
38 & 215641 & 224956.465517241 & -9315.46551724139 \tabularnewline
39 & 325107 & 224956.465517241 & 100150.534482759 \tabularnewline
40 & 7176 & 19387.4 & -12211.4 \tabularnewline
41 & 167542 & 158408.026315789 & 9133.97368421053 \tabularnewline
42 & 106408 & 82620.2978723404 & 23787.7021276596 \tabularnewline
43 & 96560 & 153513.315789474 & -56953.3157894737 \tabularnewline
44 & 265769 & 224956.465517241 & 40812.5344827586 \tabularnewline
45 & 269651 & 322592.294117647 & -52941.294117647 \tabularnewline
46 & 149112 & 158408.026315789 & -9296.02631578947 \tabularnewline
47 & 175824 & 153513.315789474 & 22310.6842105263 \tabularnewline
48 & 152871 & 158408.026315789 & -5537.02631578947 \tabularnewline
49 & 111665 & 123920.888888889 & -12255.8888888889 \tabularnewline
50 & 116408 & 153513.315789474 & -37105.3157894737 \tabularnewline
51 & 362301 & 322592.294117647 & 39708.705882353 \tabularnewline
52 & 78800 & 82620.2978723404 & -3820.29787234042 \tabularnewline
53 & 183167 & 224956.465517241 & -41789.4655172414 \tabularnewline
54 & 277965 & 322592.294117647 & -44627.294117647 \tabularnewline
55 & 150629 & 224956.465517241 & -74327.4655172414 \tabularnewline
56 & 168809 & 158408.026315789 & 10400.9736842105 \tabularnewline
57 & 24188 & 39424.1333333333 & -15236.1333333333 \tabularnewline
58 & 329267 & 224956.465517241 & 104310.534482759 \tabularnewline
59 & 65029 & 60147 & 4882 \tabularnewline
60 & 101097 & 82620.2978723404 & 18476.7021276596 \tabularnewline
61 & 218946 & 224956.465517241 & -6010.46551724139 \tabularnewline
62 & 244052 & 224956.465517241 & 19095.5344827586 \tabularnewline
63 & 341570 & 322592.294117647 & 18977.705882353 \tabularnewline
64 & 103597 & 82620.2978723404 & 20976.7021276596 \tabularnewline
65 & 233328 & 224956.465517241 & 8371.53448275861 \tabularnewline
66 & 256462 & 224956.465517241 & 31505.5344827586 \tabularnewline
67 & 206161 & 224956.465517241 & -18795.4655172414 \tabularnewline
68 & 311473 & 322592.294117647 & -11119.294117647 \tabularnewline
69 & 235800 & 153513.315789474 & 82286.6842105263 \tabularnewline
70 & 177939 & 224956.465517241 & -47017.4655172414 \tabularnewline
71 & 207176 & 224956.465517241 & -17780.4655172414 \tabularnewline
72 & 196553 & 158408.026315789 & 38144.9736842105 \tabularnewline
73 & 174184 & 158408.026315789 & 15775.9736842105 \tabularnewline
74 & 143246 & 158408.026315789 & -15162.0263157895 \tabularnewline
75 & 187559 & 224956.465517241 & -37397.4655172414 \tabularnewline
76 & 187681 & 224956.465517241 & -37275.4655172414 \tabularnewline
77 & 119016 & 113780.1875 & 5235.8125 \tabularnewline
78 & 182192 & 224956.465517241 & -42764.4655172414 \tabularnewline
79 & 73566 & 82620.2978723404 & -9054.29787234042 \tabularnewline
80 & 194979 & 224956.465517241 & -29977.4655172414 \tabularnewline
81 & 167488 & 158408.026315789 & 9079.97368421053 \tabularnewline
82 & 143756 & 158408.026315789 & -14652.0263157895 \tabularnewline
83 & 275541 & 224956.465517241 & 50584.5344827586 \tabularnewline
84 & 243199 & 224956.465517241 & 18242.5344827586 \tabularnewline
85 & 182999 & 158408.026315789 & 24590.9736842105 \tabularnewline
86 & 135649 & 158408.026315789 & -22759.0263157895 \tabularnewline
87 & 152299 & 158408.026315789 & -6109.02631578947 \tabularnewline
88 & 120221 & 113780.1875 & 6440.8125 \tabularnewline
89 & 346485 & 322592.294117647 & 23892.705882353 \tabularnewline
90 & 145790 & 158408.026315789 & -12618.0263157895 \tabularnewline
91 & 193339 & 153513.315789474 & 39825.6842105263 \tabularnewline
92 & 80953 & 106213.625 & -25260.625 \tabularnewline
93 & 122774 & 153513.315789474 & -30739.3157894737 \tabularnewline
94 & 130585 & 123920.888888889 & 6664.11111111111 \tabularnewline
95 & 112611 & 106213.625 & 6397.375 \tabularnewline
96 & 286468 & 322592.294117647 & -36124.294117647 \tabularnewline
97 & 241066 & 224956.465517241 & 16109.5344827586 \tabularnewline
98 & 148446 & 224956.465517241 & -76510.4655172414 \tabularnewline
99 & 204713 & 224956.465517241 & -20243.4655172414 \tabularnewline
100 & 182079 & 224956.465517241 & -42877.4655172414 \tabularnewline
101 & 140344 & 158408.026315789 & -18064.0263157895 \tabularnewline
102 & 220516 & 224956.465517241 & -4440.46551724139 \tabularnewline
103 & 243060 & 224956.465517241 & 18103.5344827586 \tabularnewline
104 & 162765 & 158408.026315789 & 4356.97368421053 \tabularnewline
105 & 182613 & 158408.026315789 & 24204.9736842105 \tabularnewline
106 & 232138 & 224956.465517241 & 7181.53448275861 \tabularnewline
107 & 265318 & 224956.465517241 & 40361.5344827586 \tabularnewline
108 & 85574 & 113780.1875 & -28206.1875 \tabularnewline
109 & 310839 & 322592.294117647 & -11753.294117647 \tabularnewline
110 & 225060 & 224956.465517241 & 103.534482758609 \tabularnewline
111 & 232317 & 224956.465517241 & 7360.53448275861 \tabularnewline
112 & 144966 & 158408.026315789 & -13442.0263157895 \tabularnewline
113 & 43287 & 60147 & -16860 \tabularnewline
114 & 155754 & 153513.315789474 & 2240.68421052632 \tabularnewline
115 & 164709 & 158408.026315789 & 6300.97368421053 \tabularnewline
116 & 201940 & 224956.465517241 & -23016.4655172414 \tabularnewline
117 & 235454 & 224956.465517241 & 10497.5344827586 \tabularnewline
118 & 220801 & 153513.315789474 & 67287.6842105263 \tabularnewline
119 & 99466 & 82620.2978723404 & 16845.7021276596 \tabularnewline
120 & 92661 & 113780.1875 & -21119.1875 \tabularnewline
121 & 133328 & 113780.1875 & 19547.8125 \tabularnewline
122 & 61361 & 82620.2978723404 & -21259.2978723404 \tabularnewline
123 & 125930 & 153513.315789474 & -27583.3157894737 \tabularnewline
124 & 100750 & 158408.026315789 & -57658.0263157895 \tabularnewline
125 & 224549 & 158408.026315789 & 66140.9736842105 \tabularnewline
126 & 82316 & 82620.2978723404 & -304.297872340423 \tabularnewline
127 & 102010 & 82620.2978723404 & 19389.7021276596 \tabularnewline
128 & 101523 & 113780.1875 & -12257.1875 \tabularnewline
129 & 243511 & 224956.465517241 & 18554.5344827586 \tabularnewline
130 & 22938 & 19387.4 & 3550.6 \tabularnewline
131 & 41566 & 60147 & -18581 \tabularnewline
132 & 152474 & 158408.026315789 & -5934.02631578947 \tabularnewline
133 & 61857 & 39424.1333333333 & 22432.8666666667 \tabularnewline
134 & 99923 & 153513.315789474 & -53590.3157894737 \tabularnewline
135 & 132487 & 158408.026315789 & -25921.0263157895 \tabularnewline
136 & 317394 & 322592.294117647 & -5198.29411764705 \tabularnewline
137 & 21054 & 19387.4 & 1666.6 \tabularnewline
138 & 209641 & 153513.315789474 & 56127.6842105263 \tabularnewline
139 & 22648 & 60147 & -37499 \tabularnewline
140 & 31414 & 39424.1333333333 & -8010.13333333333 \tabularnewline
141 & 46698 & 60147 & -13449 \tabularnewline
142 & 131698 & 153513.315789474 & -21815.3157894737 \tabularnewline
143 & 91735 & 82620.2978723404 & 9114.70212765958 \tabularnewline
144 & 244749 & 224956.465517241 & 19792.5344827586 \tabularnewline
145 & 184510 & 158408.026315789 & 26101.9736842105 \tabularnewline
146 & 79863 & 113780.1875 & -33917.1875 \tabularnewline
147 & 128423 & 123920.888888889 & 4502.11111111111 \tabularnewline
148 & 97839 & 82620.2978723404 & 15218.7021276596 \tabularnewline
149 & 38214 & 39424.1333333333 & -1210.13333333333 \tabularnewline
150 & 151101 & 158408.026315789 & -7307.02631578947 \tabularnewline
151 & 272458 & 224956.465517241 & 47501.5344827586 \tabularnewline
152 & 172494 & 123920.888888889 & 48573.1111111111 \tabularnewline
153 & 108043 & 113780.1875 & -5737.1875 \tabularnewline
154 & 328107 & 322592.294117647 & 5514.70588235295 \tabularnewline
155 & 250579 & 224956.465517241 & 25622.5344827586 \tabularnewline
156 & 351067 & 322592.294117647 & 28474.705882353 \tabularnewline
157 & 158015 & 123920.888888889 & 34094.1111111111 \tabularnewline
158 & 98866 & 82620.2978723404 & 16245.7021276596 \tabularnewline
159 & 85439 & 82620.2978723404 & 2818.70212765958 \tabularnewline
160 & 229242 & 224956.465517241 & 4285.53448275861 \tabularnewline
161 & 351619 & 322592.294117647 & 29026.705882353 \tabularnewline
162 & 84207 & 123920.888888889 & -39713.8888888889 \tabularnewline
163 & 120445 & 113780.1875 & 6664.8125 \tabularnewline
164 & 324598 & 322592.294117647 & 2005.70588235295 \tabularnewline
165 & 131069 & 158408.026315789 & -27339.0263157895 \tabularnewline
166 & 204271 & 158408.026315789 & 45862.9736842105 \tabularnewline
167 & 165543 & 224956.465517241 & -59413.4655172414 \tabularnewline
168 & 141722 & 158408.026315789 & -16686.0263157895 \tabularnewline
169 & 116048 & 106213.625 & 9834.375 \tabularnewline
170 & 250047 & 153513.315789474 & 96533.6842105263 \tabularnewline
171 & 299775 & 322592.294117647 & -22817.294117647 \tabularnewline
172 & 195838 & 224956.465517241 & -29118.4655172414 \tabularnewline
173 & 173260 & 153513.315789474 & 19746.6842105263 \tabularnewline
174 & 254488 & 224956.465517241 & 29531.5344827586 \tabularnewline
175 & 104389 & 158408.026315789 & -54019.0263157895 \tabularnewline
176 & 136084 & 113780.1875 & 22303.8125 \tabularnewline
177 & 199476 & 224956.465517241 & -25480.4655172414 \tabularnewline
178 & 92499 & 82620.2978723404 & 9878.70212765958 \tabularnewline
179 & 224330 & 224956.465517241 & -626.465517241391 \tabularnewline
180 & 135781 & 113780.1875 & 22000.8125 \tabularnewline
181 & 74408 & 113780.1875 & -39372.1875 \tabularnewline
182 & 81240 & 113780.1875 & -32540.1875 \tabularnewline
183 & 14688 & 19387.4 & -4699.4 \tabularnewline
184 & 181633 & 224956.465517241 & -43323.4655172414 \tabularnewline
185 & 271856 & 224956.465517241 & 46899.5344827586 \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 & 82620.2978723404 & 12606.7021276596 \tabularnewline
191 & 152601 & 113780.1875 & 38820.8125 \tabularnewline
192 & 98146 & 82620.2978723404 & 15525.7021276596 \tabularnewline
193 & 79619 & 113780.1875 & -34161.1875 \tabularnewline
194 & 59194 & 113780.1875 & -54586.1875 \tabularnewline
195 & 139942 & 113780.1875 & 26161.8125 \tabularnewline
196 & 118612 & 113780.1875 & 4831.8125 \tabularnewline
197 & 72880 & 82620.2978723404 & -9740.29787234042 \tabularnewline
198 & 65475 & 60147 & 5328 \tabularnewline
199 & 99643 & 113780.1875 & -14137.1875 \tabularnewline
200 & 71965 & 60147 & 11818 \tabularnewline
201 & 77272 & 60147 & 17125 \tabularnewline
202 & 49289 & 39424.1333333333 & 9864.86666666667 \tabularnewline
203 & 135131 & 113780.1875 & 21350.8125 \tabularnewline
204 & 108446 & 113780.1875 & -5334.1875 \tabularnewline
205 & 89746 & 113780.1875 & -24034.1875 \tabularnewline
206 & 44296 & 39424.1333333333 & 4871.86666666667 \tabularnewline
207 & 77648 & 82620.2978723404 & -4972.29787234042 \tabularnewline
208 & 181528 & 113780.1875 & 67747.8125 \tabularnewline
209 & 134019 & 113780.1875 & 20238.8125 \tabularnewline
210 & 124064 & 123920.888888889 & 143.111111111109 \tabularnewline
211 & 92630 & 82620.2978723404 & 10009.7021276596 \tabularnewline
212 & 121848 & 113780.1875 & 8067.8125 \tabularnewline
213 & 52915 & 60147 & -7232 \tabularnewline
214 & 81872 & 60147 & 21725 \tabularnewline
215 & 58981 & 82620.2978723404 & -23639.2978723404 \tabularnewline
216 & 53515 & 60147 & -6632 \tabularnewline
217 & 60812 & 82620.2978723404 & -21808.2978723404 \tabularnewline
218 & 56375 & 60147 & -3772 \tabularnewline
219 & 65490 & 60147 & 5343 \tabularnewline
220 & 80949 & 60147 & 20802 \tabularnewline
221 & 76302 & 82620.2978723404 & -6318.29787234042 \tabularnewline
222 & 104011 & 113780.1875 & -9769.1875 \tabularnewline
223 & 98104 & 153513.315789474 & -55409.3157894737 \tabularnewline
224 & 67989 & 60147 & 7842 \tabularnewline
225 & 30989 & 19387.4 & 11601.6 \tabularnewline
226 & 135458 & 153513.315789474 & -18055.3157894737 \tabularnewline
227 & 73504 & 60147 & 13357 \tabularnewline
228 & 63123 & 82620.2978723404 & -19497.2978723404 \tabularnewline
229 & 61254 & 82620.2978723404 & -21366.2978723404 \tabularnewline
230 & 74914 & 113780.1875 & -38866.1875 \tabularnewline
231 & 31774 & 60147 & -28373 \tabularnewline
232 & 81437 & 82620.2978723404 & -1183.29787234042 \tabularnewline
233 & 87186 & 113780.1875 & -26594.1875 \tabularnewline
234 & 50090 & 60147 & -10057 \tabularnewline
235 & 65745 & 82620.2978723404 & -16875.2978723404 \tabularnewline
236 & 56653 & 60147 & -3494 \tabularnewline
237 & 158399 & 113780.1875 & 44618.8125 \tabularnewline
238 & 46455 & 60147 & -13692 \tabularnewline
239 & 73624 & 82620.2978723404 & -8996.29787234042 \tabularnewline
240 & 38395 & 60147 & -21752 \tabularnewline
241 & 91899 & 82620.2978723404 & 9278.70212765958 \tabularnewline
242 & 139526 & 153513.315789474 & -13987.3157894737 \tabularnewline
243 & 52164 & 60147 & -7983 \tabularnewline
244 & 51567 & 60147 & -8580 \tabularnewline
245 & 70551 & 82620.2978723404 & -12069.2978723404 \tabularnewline
246 & 84856 & 82620.2978723404 & 2235.70212765958 \tabularnewline
247 & 102538 & 153513.315789474 & -50975.3157894737 \tabularnewline
248 & 86678 & 60147 & 26531 \tabularnewline
249 & 85709 & 82620.2978723404 & 3088.70212765958 \tabularnewline
250 & 34662 & 39424.1333333333 & -4762.13333333333 \tabularnewline
251 & 150580 & 113780.1875 & 36799.8125 \tabularnewline
252 & 99611 & 106213.625 & -6602.625 \tabularnewline
253 & 19349 & 19387.4 & -38.4000000000015 \tabularnewline
254 & 99373 & 82620.2978723404 & 16752.7021276596 \tabularnewline
255 & 86230 & 82620.2978723404 & 3609.70212765958 \tabularnewline
256 & 30837 & 39424.1333333333 & -8587.13333333333 \tabularnewline
257 & 31706 & 39424.1333333333 & -7718.13333333333 \tabularnewline
258 & 89806 & 82620.2978723404 & 7185.70212765958 \tabularnewline
259 & 62088 & 60147 & 1941 \tabularnewline
260 & 40151 & 39424.1333333333 & 726.866666666669 \tabularnewline
261 & 27634 & 39424.1333333333 & -11790.1333333333 \tabularnewline
262 & 76990 & 106213.625 & -29223.625 \tabularnewline
263 & 37460 & 39424.1333333333 & -1964.13333333333 \tabularnewline
264 & 54157 & 60147 & -5990 \tabularnewline
265 & 49862 & 60147 & -10285 \tabularnewline
266 & 84337 & 82620.2978723404 & 1716.70212765958 \tabularnewline
267 & 64175 & 82620.2978723404 & -18445.2978723404 \tabularnewline
268 & 59382 & 60147 & -765 \tabularnewline
269 & 119308 & 60147 & 59161 \tabularnewline
270 & 76702 & 82620.2978723404 & -5918.29787234042 \tabularnewline
271 & 103425 & 113780.1875 & -10355.1875 \tabularnewline
272 & 70344 & 60147 & 10197 \tabularnewline
273 & 43410 & 60147 & -16737 \tabularnewline
274 & 104838 & 106213.625 & -1375.625 \tabularnewline
275 & 62215 & 60147 & 2068 \tabularnewline
276 & 69304 & 82620.2978723404 & -13316.2978723404 \tabularnewline
277 & 53117 & 60147 & -7030 \tabularnewline
278 & 19764 & 19387.4 & 376.599999999999 \tabularnewline
279 & 86680 & 82620.2978723404 & 4059.70212765958 \tabularnewline
280 & 84105 & 60147 & 23958 \tabularnewline
281 & 77945 & 82620.2978723404 & -4675.29787234042 \tabularnewline
282 & 89113 & 82620.2978723404 & 6492.70212765958 \tabularnewline
283 & 91005 & 82620.2978723404 & 8384.70212765958 \tabularnewline
284 & 40248 & 39424.1333333333 & 823.866666666669 \tabularnewline
285 & 64187 & 60147 & 4040 \tabularnewline
286 & 50857 & 82620.2978723404 & -31763.2978723404 \tabularnewline
287 & 56613 & 82620.2978723404 & -26007.2978723404 \tabularnewline
288 & 62792 & 60147 & 2645 \tabularnewline
289 & 72535 & 82620.2978723404 & -10085.2978723404 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155011&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]158408.026315789[/C][C]52498.9736842105[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]123920.888888889[/C][C]-2938.88888888889[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]158408.026315789[/C][C]18099.9736842105[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]224956.465517241[/C][C]-45635.4655172414[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]106213.625[/C][C]16971.375[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]39424.1333333333[/C][C]13321.8666666667[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]322592.294117647[/C][C]62941.705882353[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]19387.4[/C][C]13782.6[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]82620.2978723404[/C][C]19024.7021276596[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]158408.026315789[/C][C]-9347.02631578947[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]158408.026315789[/C][C]7037.97368421053[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]224956.465517241[/C][C]12256.5344827586[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]158408.026315789[/C][C]14917.9736842105[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]158408.026315789[/C][C]-25277.0263157895[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]224956.465517241[/C][C]33916.5344827586[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]158408.026315789[/C][C]21674.9736842105[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]322592.294117647[/C][C]2206.70588235295[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]224956.465517241[/C][C]6007.53448275861[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]224956.465517241[/C][C]11828.5344827586[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]106213.625[/C][C]29259.375[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]224956.465517241[/C][C]-22031.4655172414[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]224956.465517241[/C][C]-9809.46551724139[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]224956.465517241[/C][C]119340.534482759[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]113780.1875[/C][C]40154.8125[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]158408.026315789[/C][C]-25465.0263157895[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]224956.465517241[/C][C]-50232.4655172414[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]224956.465517241[/C][C]-50541.4655172414[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]224956.465517241[/C][C]591.534482758609[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]224956.465517241[/C][C]-1324.46551724139[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]158408.026315789[/C][C]-33591.0263157895[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]224956.465517241[/C][C]-3258.46551724139[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]224956.465517241[/C][C]-14189.4655172414[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]158408.026315789[/C][C]11857.9736842105[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]224956.465517241[/C][C]35604.5344827586[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]123920.888888889[/C][C]-39067.8888888889[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]322592.294117647[/C][C]-28168.294117647[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]82620.2978723404[/C][C]18390.7021276596[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]224956.465517241[/C][C]-9315.46551724139[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]224956.465517241[/C][C]100150.534482759[/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]158408.026315789[/C][C]9133.97368421053[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]82620.2978723404[/C][C]23787.7021276596[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]153513.315789474[/C][C]-56953.3157894737[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]224956.465517241[/C][C]40812.5344827586[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]322592.294117647[/C][C]-52941.294117647[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]158408.026315789[/C][C]-9296.02631578947[/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]158408.026315789[/C][C]-5537.02631578947[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]123920.888888889[/C][C]-12255.8888888889[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]153513.315789474[/C][C]-37105.3157894737[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]322592.294117647[/C][C]39708.705882353[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]82620.2978723404[/C][C]-3820.29787234042[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]224956.465517241[/C][C]-41789.4655172414[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]322592.294117647[/C][C]-44627.294117647[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]224956.465517241[/C][C]-74327.4655172414[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]158408.026315789[/C][C]10400.9736842105[/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]224956.465517241[/C][C]104310.534482759[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]60147[/C][C]4882[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]82620.2978723404[/C][C]18476.7021276596[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]224956.465517241[/C][C]-6010.46551724139[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]224956.465517241[/C][C]19095.5344827586[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]322592.294117647[/C][C]18977.705882353[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]82620.2978723404[/C][C]20976.7021276596[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]224956.465517241[/C][C]8371.53448275861[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]224956.465517241[/C][C]31505.5344827586[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]224956.465517241[/C][C]-18795.4655172414[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]322592.294117647[/C][C]-11119.294117647[/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]224956.465517241[/C][C]-47017.4655172414[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]224956.465517241[/C][C]-17780.4655172414[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]158408.026315789[/C][C]38144.9736842105[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]158408.026315789[/C][C]15775.9736842105[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]158408.026315789[/C][C]-15162.0263157895[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]224956.465517241[/C][C]-37397.4655172414[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]224956.465517241[/C][C]-37275.4655172414[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]113780.1875[/C][C]5235.8125[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]224956.465517241[/C][C]-42764.4655172414[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]82620.2978723404[/C][C]-9054.29787234042[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]224956.465517241[/C][C]-29977.4655172414[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]158408.026315789[/C][C]9079.97368421053[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]158408.026315789[/C][C]-14652.0263157895[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]224956.465517241[/C][C]50584.5344827586[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]224956.465517241[/C][C]18242.5344827586[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]158408.026315789[/C][C]24590.9736842105[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]158408.026315789[/C][C]-22759.0263157895[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]158408.026315789[/C][C]-6109.02631578947[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]113780.1875[/C][C]6440.8125[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]322592.294117647[/C][C]23892.705882353[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]158408.026315789[/C][C]-12618.0263157895[/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]106213.625[/C][C]-25260.625[/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]123920.888888889[/C][C]6664.11111111111[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]106213.625[/C][C]6397.375[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]322592.294117647[/C][C]-36124.294117647[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]224956.465517241[/C][C]16109.5344827586[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]224956.465517241[/C][C]-76510.4655172414[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]224956.465517241[/C][C]-20243.4655172414[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]224956.465517241[/C][C]-42877.4655172414[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]158408.026315789[/C][C]-18064.0263157895[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]224956.465517241[/C][C]-4440.46551724139[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]224956.465517241[/C][C]18103.5344827586[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]158408.026315789[/C][C]4356.97368421053[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]158408.026315789[/C][C]24204.9736842105[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]224956.465517241[/C][C]7181.53448275861[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]224956.465517241[/C][C]40361.5344827586[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]113780.1875[/C][C]-28206.1875[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]322592.294117647[/C][C]-11753.294117647[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]224956.465517241[/C][C]103.534482758609[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]224956.465517241[/C][C]7360.53448275861[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]158408.026315789[/C][C]-13442.0263157895[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]60147[/C][C]-16860[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]153513.315789474[/C][C]2240.68421052632[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]158408.026315789[/C][C]6300.97368421053[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]224956.465517241[/C][C]-23016.4655172414[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]224956.465517241[/C][C]10497.5344827586[/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]82620.2978723404[/C][C]16845.7021276596[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]113780.1875[/C][C]-21119.1875[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]113780.1875[/C][C]19547.8125[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]82620.2978723404[/C][C]-21259.2978723404[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]153513.315789474[/C][C]-27583.3157894737[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]158408.026315789[/C][C]-57658.0263157895[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]158408.026315789[/C][C]66140.9736842105[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]82620.2978723404[/C][C]-304.297872340423[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]82620.2978723404[/C][C]19389.7021276596[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]113780.1875[/C][C]-12257.1875[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]224956.465517241[/C][C]18554.5344827586[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]19387.4[/C][C]3550.6[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]60147[/C][C]-18581[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]158408.026315789[/C][C]-5934.02631578947[/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]158408.026315789[/C][C]-25921.0263157895[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]322592.294117647[/C][C]-5198.29411764705[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]19387.4[/C][C]1666.6[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]153513.315789474[/C][C]56127.6842105263[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]60147[/C][C]-37499[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]39424.1333333333[/C][C]-8010.13333333333[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]60147[/C][C]-13449[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]153513.315789474[/C][C]-21815.3157894737[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]82620.2978723404[/C][C]9114.70212765958[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]224956.465517241[/C][C]19792.5344827586[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]158408.026315789[/C][C]26101.9736842105[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]113780.1875[/C][C]-33917.1875[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]123920.888888889[/C][C]4502.11111111111[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]82620.2978723404[/C][C]15218.7021276596[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]39424.1333333333[/C][C]-1210.13333333333[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]158408.026315789[/C][C]-7307.02631578947[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]224956.465517241[/C][C]47501.5344827586[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]123920.888888889[/C][C]48573.1111111111[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]113780.1875[/C][C]-5737.1875[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]322592.294117647[/C][C]5514.70588235295[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]224956.465517241[/C][C]25622.5344827586[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]322592.294117647[/C][C]28474.705882353[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]123920.888888889[/C][C]34094.1111111111[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]82620.2978723404[/C][C]16245.7021276596[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]82620.2978723404[/C][C]2818.70212765958[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]224956.465517241[/C][C]4285.53448275861[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]322592.294117647[/C][C]29026.705882353[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]123920.888888889[/C][C]-39713.8888888889[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]113780.1875[/C][C]6664.8125[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]322592.294117647[/C][C]2005.70588235295[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]158408.026315789[/C][C]-27339.0263157895[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]158408.026315789[/C][C]45862.9736842105[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]224956.465517241[/C][C]-59413.4655172414[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]158408.026315789[/C][C]-16686.0263157895[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]106213.625[/C][C]9834.375[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]153513.315789474[/C][C]96533.6842105263[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]322592.294117647[/C][C]-22817.294117647[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]224956.465517241[/C][C]-29118.4655172414[/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]224956.465517241[/C][C]29531.5344827586[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]158408.026315789[/C][C]-54019.0263157895[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]113780.1875[/C][C]22303.8125[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]224956.465517241[/C][C]-25480.4655172414[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]82620.2978723404[/C][C]9878.70212765958[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]224956.465517241[/C][C]-626.465517241391[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]113780.1875[/C][C]22000.8125[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]113780.1875[/C][C]-39372.1875[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]113780.1875[/C][C]-32540.1875[/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]224956.465517241[/C][C]-43323.4655172414[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]224956.465517241[/C][C]46899.5344827586[/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]82620.2978723404[/C][C]12606.7021276596[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]113780.1875[/C][C]38820.8125[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]82620.2978723404[/C][C]15525.7021276596[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]113780.1875[/C][C]-34161.1875[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]113780.1875[/C][C]-54586.1875[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]113780.1875[/C][C]26161.8125[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]113780.1875[/C][C]4831.8125[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]82620.2978723404[/C][C]-9740.29787234042[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]60147[/C][C]5328[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]113780.1875[/C][C]-14137.1875[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]60147[/C][C]11818[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]60147[/C][C]17125[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]39424.1333333333[/C][C]9864.86666666667[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]113780.1875[/C][C]21350.8125[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]113780.1875[/C][C]-5334.1875[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]113780.1875[/C][C]-24034.1875[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]39424.1333333333[/C][C]4871.86666666667[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]82620.2978723404[/C][C]-4972.29787234042[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]113780.1875[/C][C]67747.8125[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]113780.1875[/C][C]20238.8125[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]123920.888888889[/C][C]143.111111111109[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]82620.2978723404[/C][C]10009.7021276596[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]113780.1875[/C][C]8067.8125[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]60147[/C][C]-7232[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]60147[/C][C]21725[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]82620.2978723404[/C][C]-23639.2978723404[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]60147[/C][C]-6632[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]82620.2978723404[/C][C]-21808.2978723404[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]60147[/C][C]-3772[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]60147[/C][C]5343[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]60147[/C][C]20802[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]82620.2978723404[/C][C]-6318.29787234042[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]113780.1875[/C][C]-9769.1875[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]153513.315789474[/C][C]-55409.3157894737[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]60147[/C][C]7842[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]19387.4[/C][C]11601.6[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]153513.315789474[/C][C]-18055.3157894737[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]60147[/C][C]13357[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]82620.2978723404[/C][C]-19497.2978723404[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]82620.2978723404[/C][C]-21366.2978723404[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]113780.1875[/C][C]-38866.1875[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]60147[/C][C]-28373[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]82620.2978723404[/C][C]-1183.29787234042[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]113780.1875[/C][C]-26594.1875[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]60147[/C][C]-10057[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]82620.2978723404[/C][C]-16875.2978723404[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]60147[/C][C]-3494[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]113780.1875[/C][C]44618.8125[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]60147[/C][C]-13692[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]82620.2978723404[/C][C]-8996.29787234042[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]60147[/C][C]-21752[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]82620.2978723404[/C][C]9278.70212765958[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]153513.315789474[/C][C]-13987.3157894737[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]60147[/C][C]-7983[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]60147[/C][C]-8580[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]82620.2978723404[/C][C]-12069.2978723404[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]82620.2978723404[/C][C]2235.70212765958[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]153513.315789474[/C][C]-50975.3157894737[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]60147[/C][C]26531[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]82620.2978723404[/C][C]3088.70212765958[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]39424.1333333333[/C][C]-4762.13333333333[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]113780.1875[/C][C]36799.8125[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]106213.625[/C][C]-6602.625[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]19387.4[/C][C]-38.4000000000015[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]82620.2978723404[/C][C]16752.7021276596[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]82620.2978723404[/C][C]3609.70212765958[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]39424.1333333333[/C][C]-8587.13333333333[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]39424.1333333333[/C][C]-7718.13333333333[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]82620.2978723404[/C][C]7185.70212765958[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]60147[/C][C]1941[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]39424.1333333333[/C][C]726.866666666669[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]39424.1333333333[/C][C]-11790.1333333333[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]106213.625[/C][C]-29223.625[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]39424.1333333333[/C][C]-1964.13333333333[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]60147[/C][C]-5990[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]60147[/C][C]-10285[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]82620.2978723404[/C][C]1716.70212765958[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]82620.2978723404[/C][C]-18445.2978723404[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]60147[/C][C]-765[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]60147[/C][C]59161[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]82620.2978723404[/C][C]-5918.29787234042[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]113780.1875[/C][C]-10355.1875[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]60147[/C][C]10197[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]60147[/C][C]-16737[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]106213.625[/C][C]-1375.625[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]60147[/C][C]2068[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]82620.2978723404[/C][C]-13316.2978723404[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]60147[/C][C]-7030[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]19387.4[/C][C]376.599999999999[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]82620.2978723404[/C][C]4059.70212765958[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]60147[/C][C]23958[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]82620.2978723404[/C][C]-4675.29787234042[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]82620.2978723404[/C][C]6492.70212765958[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]82620.2978723404[/C][C]8384.70212765958[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]39424.1333333333[/C][C]823.866666666669[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]60147[/C][C]4040[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]82620.2978723404[/C][C]-31763.2978723404[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]82620.2978723404[/C][C]-26007.2978723404[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]60147[/C][C]2645[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]82620.2978723404[/C][C]-10085.2978723404[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155011&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155011&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
1210907158408.02631578952498.9736842105
2120982123920.888888889-2938.88888888889
3176508158408.02631578918099.9736842105
4179321224956.465517241-45635.4655172414
5123185106213.62516971.375
65274639424.133333333313321.8666666667
7385534322592.29411764762941.705882353
83317019387.413782.6
910164582620.297872340419024.7021276596
10149061158408.026315789-9347.02631578947
11165446158408.0263157897037.97368421053
12237213224956.46551724112256.5344827586
13173326158408.02631578914917.9736842105
14133131158408.026315789-25277.0263157895
15258873224956.46551724133916.5344827586
16180083158408.02631578921674.9736842105
17324799322592.2941176472206.70588235295
18230964224956.4655172416007.53448275861
19236785224956.46551724111828.5344827586
20135473106213.62529259.375
21202925224956.465517241-22031.4655172414
22215147224956.465517241-9809.46551724139
23344297224956.465517241119340.534482759
24153935113780.187540154.8125
25132943158408.026315789-25465.0263157895
26174724224956.465517241-50232.4655172414
27174415224956.465517241-50541.4655172414
28225548224956.465517241591.534482758609
29223632224956.465517241-1324.46551724139
30124817158408.026315789-33591.0263157895
31221698224956.465517241-3258.46551724139
32210767224956.465517241-14189.4655172414
33170266158408.02631578911857.9736842105
34260561224956.46551724135604.5344827586
3584853123920.888888889-39067.8888888889
36294424322592.294117647-28168.294117647
3710101182620.297872340418390.7021276596
38215641224956.465517241-9315.46551724139
39325107224956.465517241100150.534482759
40717619387.4-12211.4
41167542158408.0263157899133.97368421053
4210640882620.297872340423787.7021276596
4396560153513.315789474-56953.3157894737
44265769224956.46551724140812.5344827586
45269651322592.294117647-52941.294117647
46149112158408.026315789-9296.02631578947
47175824153513.31578947422310.6842105263
48152871158408.026315789-5537.02631578947
49111665123920.888888889-12255.8888888889
50116408153513.315789474-37105.3157894737
51362301322592.29411764739708.705882353
527880082620.2978723404-3820.29787234042
53183167224956.465517241-41789.4655172414
54277965322592.294117647-44627.294117647
55150629224956.465517241-74327.4655172414
56168809158408.02631578910400.9736842105
572418839424.1333333333-15236.1333333333
58329267224956.465517241104310.534482759
5965029601474882
6010109782620.297872340418476.7021276596
61218946224956.465517241-6010.46551724139
62244052224956.46551724119095.5344827586
63341570322592.29411764718977.705882353
6410359782620.297872340420976.7021276596
65233328224956.4655172418371.53448275861
66256462224956.46551724131505.5344827586
67206161224956.465517241-18795.4655172414
68311473322592.294117647-11119.294117647
69235800153513.31578947482286.6842105263
70177939224956.465517241-47017.4655172414
71207176224956.465517241-17780.4655172414
72196553158408.02631578938144.9736842105
73174184158408.02631578915775.9736842105
74143246158408.026315789-15162.0263157895
75187559224956.465517241-37397.4655172414
76187681224956.465517241-37275.4655172414
77119016113780.18755235.8125
78182192224956.465517241-42764.4655172414
797356682620.2978723404-9054.29787234042
80194979224956.465517241-29977.4655172414
81167488158408.0263157899079.97368421053
82143756158408.026315789-14652.0263157895
83275541224956.46551724150584.5344827586
84243199224956.46551724118242.5344827586
85182999158408.02631578924590.9736842105
86135649158408.026315789-22759.0263157895
87152299158408.026315789-6109.02631578947
88120221113780.18756440.8125
89346485322592.29411764723892.705882353
90145790158408.026315789-12618.0263157895
91193339153513.31578947439825.6842105263
9280953106213.625-25260.625
93122774153513.315789474-30739.3157894737
94130585123920.8888888896664.11111111111
95112611106213.6256397.375
96286468322592.294117647-36124.294117647
97241066224956.46551724116109.5344827586
98148446224956.465517241-76510.4655172414
99204713224956.465517241-20243.4655172414
100182079224956.465517241-42877.4655172414
101140344158408.026315789-18064.0263157895
102220516224956.465517241-4440.46551724139
103243060224956.46551724118103.5344827586
104162765158408.0263157894356.97368421053
105182613158408.02631578924204.9736842105
106232138224956.4655172417181.53448275861
107265318224956.46551724140361.5344827586
10885574113780.1875-28206.1875
109310839322592.294117647-11753.294117647
110225060224956.465517241103.534482758609
111232317224956.4655172417360.53448275861
112144966158408.026315789-13442.0263157895
1134328760147-16860
114155754153513.3157894742240.68421052632
115164709158408.0263157896300.97368421053
116201940224956.465517241-23016.4655172414
117235454224956.46551724110497.5344827586
118220801153513.31578947467287.6842105263
1199946682620.297872340416845.7021276596
12092661113780.1875-21119.1875
121133328113780.187519547.8125
1226136182620.2978723404-21259.2978723404
123125930153513.315789474-27583.3157894737
124100750158408.026315789-57658.0263157895
125224549158408.02631578966140.9736842105
1268231682620.2978723404-304.297872340423
12710201082620.297872340419389.7021276596
128101523113780.1875-12257.1875
129243511224956.46551724118554.5344827586
1302293819387.43550.6
1314156660147-18581
132152474158408.026315789-5934.02631578947
1336185739424.133333333322432.8666666667
13499923153513.315789474-53590.3157894737
135132487158408.026315789-25921.0263157895
136317394322592.294117647-5198.29411764705
1372105419387.41666.6
138209641153513.31578947456127.6842105263
1392264860147-37499
1403141439424.1333333333-8010.13333333333
1414669860147-13449
142131698153513.315789474-21815.3157894737
1439173582620.29787234049114.70212765958
144244749224956.46551724119792.5344827586
145184510158408.02631578926101.9736842105
14679863113780.1875-33917.1875
147128423123920.8888888894502.11111111111
1489783982620.297872340415218.7021276596
1493821439424.1333333333-1210.13333333333
150151101158408.026315789-7307.02631578947
151272458224956.46551724147501.5344827586
152172494123920.88888888948573.1111111111
153108043113780.1875-5737.1875
154328107322592.2941176475514.70588235295
155250579224956.46551724125622.5344827586
156351067322592.29411764728474.705882353
157158015123920.88888888934094.1111111111
1589886682620.297872340416245.7021276596
1598543982620.29787234042818.70212765958
160229242224956.4655172414285.53448275861
161351619322592.29411764729026.705882353
16284207123920.888888889-39713.8888888889
163120445113780.18756664.8125
164324598322592.2941176472005.70588235295
165131069158408.026315789-27339.0263157895
166204271158408.02631578945862.9736842105
167165543224956.465517241-59413.4655172414
168141722158408.026315789-16686.0263157895
169116048106213.6259834.375
170250047153513.31578947496533.6842105263
171299775322592.294117647-22817.294117647
172195838224956.465517241-29118.4655172414
173173260153513.31578947419746.6842105263
174254488224956.46551724129531.5344827586
175104389158408.026315789-54019.0263157895
176136084113780.187522303.8125
177199476224956.465517241-25480.4655172414
1789249982620.29787234049878.70212765958
179224330224956.465517241-626.465517241391
180135781113780.187522000.8125
18174408113780.1875-39372.1875
18281240113780.1875-32540.1875
1831468819387.4-4699.4
184181633224956.465517241-43323.4655172414
185271856224956.46551724146899.5344827586
186719919387.4-12188.4
1874666039424.13333333337235.86666666667
1881754719387.4-1840.4
189133368153513.315789474-20145.3157894737
1909522782620.297872340412606.7021276596
191152601113780.187538820.8125
1929814682620.297872340415525.7021276596
19379619113780.1875-34161.1875
19459194113780.1875-54586.1875
195139942113780.187526161.8125
196118612113780.18754831.8125
1977288082620.2978723404-9740.29787234042
19865475601475328
19999643113780.1875-14137.1875
200719656014711818
201772726014717125
2024928939424.13333333339864.86666666667
203135131113780.187521350.8125
204108446113780.1875-5334.1875
20589746113780.1875-24034.1875
2064429639424.13333333334871.86666666667
2077764882620.2978723404-4972.29787234042
208181528113780.187567747.8125
209134019113780.187520238.8125
210124064123920.888888889143.111111111109
2119263082620.297872340410009.7021276596
212121848113780.18758067.8125
2135291560147-7232
214818726014721725
2155898182620.2978723404-23639.2978723404
2165351560147-6632
2176081282620.2978723404-21808.2978723404
2185637560147-3772
21965490601475343
220809496014720802
2217630282620.2978723404-6318.29787234042
222104011113780.1875-9769.1875
22398104153513.315789474-55409.3157894737
22467989601477842
2253098919387.411601.6
226135458153513.315789474-18055.3157894737
227735046014713357
2286312382620.2978723404-19497.2978723404
2296125482620.2978723404-21366.2978723404
23074914113780.1875-38866.1875
2313177460147-28373
2328143782620.2978723404-1183.29787234042
23387186113780.1875-26594.1875
2345009060147-10057
2356574582620.2978723404-16875.2978723404
2365665360147-3494
237158399113780.187544618.8125
2384645560147-13692
2397362482620.2978723404-8996.29787234042
2403839560147-21752
2419189982620.29787234049278.70212765958
242139526153513.315789474-13987.3157894737
2435216460147-7983
2445156760147-8580
2457055182620.2978723404-12069.2978723404
2468485682620.29787234042235.70212765958
247102538153513.315789474-50975.3157894737
248866786014726531
2498570982620.29787234043088.70212765958
2503466239424.1333333333-4762.13333333333
251150580113780.187536799.8125
25299611106213.625-6602.625
2531934919387.4-38.4000000000015
2549937382620.297872340416752.7021276596
2558623082620.29787234043609.70212765958
2563083739424.1333333333-8587.13333333333
2573170639424.1333333333-7718.13333333333
2588980682620.29787234047185.70212765958
25962088601471941
2604015139424.1333333333726.866666666669
2612763439424.1333333333-11790.1333333333
26276990106213.625-29223.625
2633746039424.1333333333-1964.13333333333
2645415760147-5990
2654986260147-10285
2668433782620.29787234041716.70212765958
2676417582620.2978723404-18445.2978723404
2685938260147-765
2691193086014759161
2707670282620.2978723404-5918.29787234042
271103425113780.1875-10355.1875
272703446014710197
2734341060147-16737
274104838106213.625-1375.625
27562215601472068
2766930482620.2978723404-13316.2978723404
2775311760147-7030
2781976419387.4376.599999999999
2798668082620.29787234044059.70212765958
280841056014723958
2817794582620.2978723404-4675.29787234042
2828911382620.29787234046492.70212765958
2839100582620.29787234048384.70212765958
2844024839424.1333333333823.866666666669
28564187601474040
2865085782620.2978723404-31763.2978723404
2875661382620.2978723404-26007.2978723404
28862792601472645
2897253582620.2978723404-10085.2978723404


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = none ; par3 = 3 ; 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')
}