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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_regression_trees1.wasp
Title produced by softwareRecursive Partitioning (Regression Trees)
Date of computationThu, 06 Dec 2012 08:36:03 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/06/t13548015802q0jsradnpadixs.htm/, Retrieved Fri, 29 Mar 2024 08:43:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197076, Retrieved Fri, 29 Mar 2024 08:43:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact147
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)] [WS 10] [2012-12-06 13:30:23] [64c86865dff7d646747b84f713e71815]
-   P       [Recursive Partitioning (Regression Trees)] [WS 10] [2012-12-06 13:36:03] [46cc0db4bd6f6541b375e62191991224] [Current]
-   PD        [Recursive Partitioning (Regression Trees)] [] [2012-12-10 14:14:55] [5fadebd2b4986084220c779a1c91b281]
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Dataseries X:
463	52746	25	143	37	3	0	26	101	70	68504	9245	42551	39	38
3201	385534	92	1562	63	0	121	25	96	91	119182	33251	195663	150	144
371	33170	18	109	44	0	1	18	67	22	22807	1271	6853	5	5
1192	101645	63	371	88	0	20	11	44	38	17140	5279	21529	28	28
1583	149061	44	656	66	5	43	26	100	93	116174	27101	95757	84	84
1439	165446	33	511	57	0	69	25	93	60	57635	16373	85584	80	79
1764	237213	84	655	74	0	78	38	140	123	66198	19716	143983	130	127
1495	173326	88	465	49	7	86	44	166	148	71701	17753	75851	82	78
1373	133131	55	525	52	7	44	30	99	90	57793	9028	59238	60	60
2187	258873	60	885	88	3	104	40	139	124	80444	18653	93163	131	131
1491	180083	66	497	36	9	63	34	130	70	53855	8828	96037	84	84
4041	324799	154	1436	108	0	158	47	181	168	97668	29498	151511	140	133
1706	230964	53	612	43	4	102	30	116	115	133824	27563	136368	151	150
2152	236785	119	865	75	3	77	31	116	71	101481	18293	112642	91	91
1036	135473	41	385	32	0	82	23	88	66	99645	22530	94728	138	132
1882	202925	61	567	44	7	115	36	139	134	114789	15977	105499	150	136
1929	215147	58	639	85	0	101	36	135	117	99052	35082	121527	124	124
2242	344297	75	963	86	1	80	30	108	108	67654	16116	127766	119	118
1220	153935	33	398	56	5	50	25	89	84	65553	15849	98958	73	70
1289	132943	40	410	50	7	83	39	156	156	97500	16026	77900	110	107
2515	174724	92	966	135	0	123	34	129	120	69112	26569	85646	123	119
2147	174415	100	801	63	0	73	31	118	114	82753	24785	98579	90	89
2352	225548	112	892	81	5	81	31	118	94	85323	17569	130767	116	112
1638	223632	73	513	52	0	105	33	125	120	72654	23825	131741	113	108
1222	124817	40	469	44	0	47	25	95	81	30727	7869	53907	56	52
1812	221698	45	683	113	0	105	33	126	110	77873	14975	178812	115	112
1677	210767	60	643	39	3	94	35	135	133	117478	37791	146761	119	116
1579	170266	62	535	73	4	44	42	154	122	74007	9605	82036	129	123
1731	260561	75	625	48	1	114	43	165	158	90183	27295	163253	127	125
807	84853	31	264	33	4	38	30	113	109	61542	2746	27032	27	27
2452	294424	77	992	59	2	107	33	127	124	101494	34461	171975	175	162
829	101011	34	238	41	0	30	13	52	39	27570	8098	65990	35	32
1940	215641	46	818	69	0	71	32	121	92	55813	4787	86572	64	64
2662	325107	99	937	64	0	84	36	136	126	79215	24919	159676	96	92
186	7176	17	70	1	0	0	0	0	0	1423	603	1929	0	0
1499	167542	66	507	59	2	59	28	108	70	55461	16329	85371	84	83
865	106408	30	260	32	1	33	14	46	37	31081	12558	58391	41	41
1793	96560	76	503	129	0	42	17	54	38	22996	7784	31580	47	47
2527	265769	146	927	37	2	96	32	124	120	83122	28522	136815	126	120
2747	269651	67	1269	31	10	106	30	115	93	70106	22265	120642	105	105
1324	149112	56	537	65	6	56	35	128	95	60578	14459	69107	80	79
2702	175824	107	910	107	0	57	20	80	77	39992	14526	50495	70	65
1383	152871	58	532	74	5	59	28	97	90	79892	22240	108016	73	70
1179	111665	34	345	54	4	39	28	104	80	49810	11802	46341	57	55
2099	116408	61	918	76	1	34	39	59	31	71570	7623	78348	40	39
4308	362301	119	1635	715	2	76	34	125	110	100708	11912	79336	68	67
918	78800	42	330	57	2	20	26	82	66	33032	7935	56968	21	21
1831	183167	66	557	66	0	91	39	149	138	82875	18220	93176	127	127
3373	277965	89	1178	106	8	115	39	149	133	139077	19199	161632	154	152
1713	150629	44	740	54	3	85	33	122	113	71595	19918	87850	116	113
1438	168809	66	452	32	0	76	28	118	100	72260	21884	127969	102	99
496	24188	24	218	20	0	8	4	12	7	5950	2694	15049	7	7
2253	329267	259	764	71	8	79	39	144	140	115762	15808	155135	148	141
744	65029	17	255	21	5	21	18	67	61	32551	3597	25109	21	21
1161	101097	64	454	70	3	30	14	52	41	31701	5296	45824	35	35
2352	218946	41	866	112	1	76	29	108	96	80670	25239	102996	112	109
2144	244052	68	574	66	5	101	44	166	164	143558	29801	160604	137	133
4691	341570	168	1276	190	1	94	21	80	78	117105	18450	158051	135	123
1112	103597	43	379	66	1	27	16	60	49	23789	7132	44547	26	26
2694	233328	132	825	165	5	92	28	107	102	120733	34861	162647	230	230
1973	256462	105	798	56	0	123	35	127	124	105195	35940	174141	181	166
1769	206161	71	663	61	12	75	28	107	99	73107	16688	60622	71	68
3148	311473	112	1069	53	8	128	38	146	129	132068	24683	179566	147	147
2474	235800	94	921	127	8	105	23	84	62	149193	46230	184301	190	179
2084	177939	82	858	63	8	55	36	141	73	46821	10387	75661	64	61
1954	207176	70	711	38	8	56	32	123	114	87011	21436	96144	105	101
1226	196553	57	503	50	2	41	29	111	99	95260	30546	129847	107	108
1389	174184	53	382	52	0	72	25	98	70	55183	19746	117286	94	90
1496	143246	103	464	42	5	67	27	105	104	106671	15977	71180	116	114
2269	187559	121	717	76	8	75	36	135	116	73511	22583	109377	106	103
1833	187681	62	690	67	2	114	28	107	91	92945	17274	85298	143	142
1268	119016	52	462	50	5	118	23	85	74	78664	16469	73631	81	79
1943	182192	52	657	53	12	77	40	155	138	70054	14251	86767	89	88
893	73566	32	385	39	6	22	23	88	67	22618	3007	23824	26	25
1762	194979	62	577	50	7	66	40	155	151	74011	16851	93487	84	83
1403	167488	45	619	77	2	69	28	104	72	83737	21113	82981	113	113
1425	143756	46	479	57	0	105	34	132	120	69094	17401	73815	120	118
1857	275541	63	817	73	4	116	33	127	115	93133	23958	94552	110	110
1840	243199	75	752	34	3	88	28	108	105	95536	23567	132190	134	129
1502	182999	88	430	39	6	73	34	129	104	225920	13065	128754	54	51
1441	135649	46	451	46	2	99	30	116	108	62133	15358	66363	96	93
1420	152299	53	537	63	0	62	33	122	98	61370	14587	67808	78	76
1416	120221	37	519	35	1	53	22	85	69	43836	12770	61724	51	49
2970	346485	90	1000	106	0	118	38	147	111	106117	24021	131722	121	118
1317	145790	63	637	43	5	30	26	99	99	38692	9648	68580	38	38
1644	193339	78	465	47	2	100	35	87	71	84651	20537	106175	145	141
870	80953	25	437	31	0	49	8	28	27	56622	7905	55792	59	58
1654	122774	45	711	162	0	24	24	90	69	15986	4527	25157	27	27
1054	130585	46	299	57	5	67	29	109	107	95364	30495	76669	91	91
937	112611	41	248	36	0	46	20	78	73	26706	7117	57283	48	48
3004	286468	144	1162	263	1	57	29	111	107	89691	17719	105805	68	63
2008	241066	82	714	78	0	75	45	158	93	67267	27056	129484	58	56
2547	148446	91	905	63	1	135	37	141	129	126846	33473	72413	150	144
1885	204713	71	649	54	1	68	33	122	69	41140	9758	87831	74	73
1626	182079	63	512	63	2	124	33	124	118	102860	21115	96971	181	168
1468	140344	53	472	77	6	33	25	93	73	51715	7236	71299	65	64
2445	220516	62	905	79	1	98	32	124	119	55801	13790	77494	97	97
1964	243060	63	786	110	4	58	29	112	104	111813	32902	120336	121	117
1381	162765	32	489	56	2	68	28	108	107	120293	25131	93913	99	100
1369	182613	39	479	56	3	81	28	99	99	138599	30910	136048	152	149
1659	232138	62	617	43	0	131	31	117	90	161647	35947	181248	188	187
2888	265318	117	925	111	10	110	52	199	197	115929	29848	146123	138	127
1290	85574	34	351	71	0	37	21	78	36	24266	6943	32036	40	37
2845	310839	92	1144	62	9	130	24	91	85	162901	42705	186646	254	245
1982	225060	93	669	56	7	93	41	158	139	109825	31808	102255	87	87
1904	232317	54	707	74	0	118	33	126	106	129838	26675	168237	178	177
1391	144966	144	458	60	0	39	32	122	50	37510	8435	64219	51	49
602	43287	14	214	43	4	13	19	71	64	43750	7409	19630	49	49
1743	155754	61	599	68	4	74	20	75	31	40652	14993	76825	73	73
1559	164709	109	572	53	0	81	31	115	63	87771	36867	115338	176	177
2014	201940	38	897	87	0	109	31	119	92	85872	33835	109427	94	94
2143	235454	73	819	46	0	151	32	124	106	89275	24164	118168	120	117
2146	220801	75	720	105	1	51	18	72	63	44418	12607	84845	66	60
874	99466	50	273	32	0	28	23	91	69	192565	22609	153197	56	55
1590	92661	61	508	133	1	40	17	45	41	35232	5892	29877	39	39
1590	133328	55	506	79	0	56	20	78	56	40909	17014	63506	66	64
1210	61361	77	451	51	0	27	12	39	25	13294	5394	22445	27	26
2072	125930	75	699	207	4	37	17	68	65	32387	9178	47695	65	64
1281	100750	72	407	67	0	83	30	119	93	140867	6440	68370	58	58
1401	224549	50	465	47	4	54	31	117	114	120662	21916	146304	98	95
834	82316	32	245	34	4	27	10	39	38	21233	4011	38233	25	25
1105	102010	53	370	66	3	28	13	50	44	44332	5818	42071	26	26
1272	101523	42	316	76	0	59	22	88	87	61056	18647	50517	77	76
1944	243511	71	603	65	0	133	42	155	110	101338	20556	103950	130	129
391	22938	10	154	9	0	12	1	0	0	1168	238	5841	11	11
761	41566	35	229	42	5	0	9	36	27	13497	70	2341	2	2
1605	152474	65	577	45	0	106	32	123	83	65567	22392	84396	101	101
530	61857	25	192	25	4	23	11	32	30	25162	3913	24610	31	28
1988	99923	66	617	115	0	44	25	99	80	32334	12237	35753	36	36
1386	132487	41	411	97	0	71	36	136	98	40735	8388	55515	120	89
2395	317394	86	975	53	1	116	31	117	82	91413	22120	209056	195	193
387	21054	16	146	2	0	4	0	0	0	855	338	6622	4	4
1742	209641	42	705	52	5	62	24	88	60	97068	11727	115814	89	84
620	22648	19	184	44	0	12	13	39	28	44339	3704	11609	24	23
449	31414	19	200	22	0	18	8	25	9	14116	3988	13155	39	39
800	46698	45	274	35	0	14	13	52	33	10288	3030	18274	14	14
1684	131698	65	502	74	0	60	19	75	59	65622	13520	72875	78	78
1050	91735	35	382	103	0	7	18	71	49	16563	1421	10112	15	14
2699	244749	95	964	144	2	98	33	124	115	76643	20923	142775	106	101
1606	184510	49	537	60	7	64	40	151	140	110681	20237	68847	83	82
1502	79863	37	438	134	1	29	22	71	49	29011	3219	17659	24	24
1204	128423	64	369	89	8	32	38	145	120	92696	3769	20112	37	36
1138	97839	38	417	42	2	25	24	87	66	94785	12252	61023	77	75
568	38214	34	276	52	0	16	8	27	21	8773	1888	13983	16	16
1459	151101	32	514	98	2	48	35	131	124	83209	14497	65176	56	55
2158	272458	65	822	99	0	100	43	162	152	93815	28864	132432	132	131
1111	172494	52	389	52	0	46	43	165	139	86687	21721	112494	144	131
1421	108043	62	466	29	1	45	14	54	38	34553	4821	45109	40	39
2833	328107	65	1255	125	3	129	41	159	144	105547	33644	170875	153	144
1955	250579	83	694	106	0	130	38	147	120	103487	15923	180759	143	139
2922	351067	95	1024	95	3	136	45	170	160	213688	42935	214921	220	211
1002	158015	29	400	40	0	59	31	119	114	71220	18864	100226	79	78
1060	98866	18	397	140	0	25	13	49	39	23517	4977	32043	50	50
956	85439	33	350	43	0	32	28	104	78	56926	7785	54454	39	39
2186	229242	247	719	128	4	63	31	120	119	91721	17939	78876	95	90
3604	351619	139	1277	142	4	95	40	150	141	115168	23436	170745	169	166
1035	84207	29	356	73	11	14	30	112	101	111194	325	6940	12	12
1417	120445	118	457	72	0	36	16	59	56	51009	13539	49025	63	57
3261	324598	110	1402	128	0	113	37	136	133	135777	34538	122037	134	133
1587	131069	67	600	61	4	47	30	107	83	51513	12198	53782	69	69
1424	204271	42	480	73	0	92	35	130	116	74163	26924	127748	119	119
1701	165543	65	595	148	1	70	32	115	90	51633	12716	86839	119	119
1249	141722	94	436	64	0	19	27	107	36	75345	8172	44830	75	65
946	116048	64	230	45	0	50	20	75	50	33416	10855	77395	63	61
1926	250047	81	651	58	0	41	18	71	61	83305	11932	89324	55	49
3352	299775	95	1367	97	9	91	31	120	97	98952	14300	103300	103	101
1641	195838	67	564	50	1	111	31	116	98	102372	25515	112283	197	196
2035	173260	63	716	37	3	41	21	79	78	37238	2805	10901	16	15
2312	254488	83	747	50	10	120	39	150	117	103772	29402	120691	140	136
1369	104389	45	467	105	5	135	41	156	148	123969	16440	58106	89	89
1577	136084	30	671	69	0	27	13	51	41	27142	11221	57140	40	40
2201	199476	70	861	46	2	87	32	118	105	135400	28732	122422	125	123
961	92499	32	319	57	0	25	18	71	55	21399	5250	25899	21	21
1900	224330	83	612	52	1	131	39	144	132	130115	28608	139296	167	163
1254	135781	31	433	98	2	45	14	47	44	24874	8092	52678	32	29
1335	74408	67	434	61	4	29	7	28	21	34988	4473	23853	36	35
1597	81240	66	503	89	0	58	17	68	50	45549	1572	17306	13	13
207	14688	10	85	0	0	4	0	0	0	6023	2065	7953	5	5
1645	181633	70	564	48	2	47	30	110	73	64466	14817	89455	96	96
2429	271856	103	824	91	1	109	37	147	86	54990	16714	147866	151	151
151	7199	5	74	0	0	7	0	0	0	1644	556	4245	6	6
474	46660	20	259	7	0	12	5	15	13	6179	2089	21509	13	13
141	17547	5	69	3	0	0	1	4	4	3926	2658	7670	3	3
1639	133368	36	535	54	1	37	16	64	57	32755	10695	66675	57	56
872	95227	34	239	70	0	37	32	111	48	34777	1669	14336	23	23
1318	152601	48	438	36	2	46	24	85	46	73224	16267	53608	61	57
1018	98146	40	459	37	0	15	17	68	48	27114	7768	30059	21	14
1383	79619	43	426	123	3	42	11	40	32	20760	7252	29668	43	43
1314	59194	31	288	247	6	7	24	80	68	37636	6387	22097	20	20
1335	139942	42	498	46	0	54	22	88	87	65461	18715	96841	82	72
1403	118612	46	454	72	2	54	12	48	43	30080	7936	41907	90	87
910	72880	33	376	41	0	14	19	76	67	24094	8643	27080	25	21
616	65475	18	225	24	2	16	13	51	46	69008	7294	35885	60	56
1407	99643	55	555	45	1	33	17	67	46	54968	4570	41247	61	59
771	71965	35	252	33	1	32	15	59	56	46090	7185	28313	85	82
766	77272	59	208	27	2	21	16	61	48	27507	10058	36845	43	43
473	49289	19	130	36	1	15	24	76	44	10672	2342	16548	25	25
1376	135131	66	481	87	0	38	15	60	60	34029	8509	36134	41	38
1232	108446	60	389	90	1	22	17	68	65	46300	13275	55764	26	25
1521	89746	36	565	114	3	28	18	71	55	24760	6816	28910	38	38
572	44296	25	173	31	0	10	20	76	38	18779	1930	13339	12	12
1059	77648	47	278	45	0	31	16	62	52	21280	8086	25319	29	29
1544	181528	54	609	69	0	32	16	61	60	40662	10737	66956	49	47
1230	134019	53	422	51	0	32	18	67	54	28987	8033	47487	46	45
1206	124064	40	445	34	1	43	22	88	86	22827	7058	52785	41	40
1205	92630	40	387	60	4	27	8	30	24	18513	6782	44683	31	30
1255	121848	39	339	45	0	37	17	64	52	30594	5401	35619	41	41
613	52915	14	181	54	0	20	18	68	49	24006	6521	21920	26	25
721	81872	45	245	25	0	32	16	64	61	27913	10856	45608	23	23
1109	58981	36	384	38	7	0	23	91	61	42744	2154	7721	14	14
740	53515	28	212	52	2	5	22	88	81	12934	6117	20634	16	16
1126	60812	44	399	67	0	26	13	52	43	22574	5238	29788	25	26
728	56375	30	229	74	7	10	13	49	40	41385	4820	31931	21	21
689	65490	22	224	38	3	27	16	62	40	18653	5615	37754	32	27
592	80949	17	203	30	0	11	16	61	56	18472	4272	32505	9	9
995	76302	31	333	26	0	29	20	76	68	30976	8702	40557	35	33
1613	104011	55	384	67	6	25	22	88	79	63339	15340	94238	42	42
2048	98104	54	636	132	2	55	17	66	47	25568	8030	44197	68	68
705	67989	21	185	42	0	23	18	71	57	33747	9526	43228	32	32
301	30989	14	93	35	0	5	17	68	41	4154	1278	4103	6	6
1803	135458	81	581	118	3	43	12	48	29	19474	4236	44144	68	67
799	73504	35	248	68	0	23	7	25	3	35130	3023	32868	33	33
861	63123	43	304	43	1	34	17	68	60	39067	7196	27640	84	77
1186	61254	46	344	76	1	36	14	41	30	13310	3394	14063	46	46
1451	74914	30	407	64	0	35	23	90	79	65892	6371	28990	30	30
628	31774	23	170	48	1	0	17	66	47	4143	1574	4694	0	0
1161	81437	38	312	64	0	37	14	54	40	28579	9620	42648	36	36
1463	87186	54	507	56	0	28	15	59	48	51776	6978	64329	47	46
742	50090	20	224	71	0	16	17	60	36	21152	4911	21928	20	18
979	65745	53	340	75	0	26	21	77	42	38084	8645	25836	50	48
675	56653	45	168	39	0	38	18	68	49	27717	8987	22779	30	29
1241	158399	39	443	42	0	23	18	72	57	32928	5544	40820	30	28
676	46455	20	204	39	0	22	17	67	12	11342	3083	27530	34	34
1049	73624	24	367	93	0	30	17	64	40	19499	6909	32378	33	33
620	38395	31	210	38	0	16	16	63	43	16380	3189	10824	34	34
1081	91899	35	335	60	0	18	15	59	33	36874	6745	39613	37	33
1688	139526	151	364	71	0	28	21	84	77	48259	16724	60865	83	80
736	52164	52	178	52	0	32	16	64	43	16734	4850	19787	32	32
617	51567	30	206	27	2	21	14	56	45	28207	7025	20107	30	30
812	70551	31	279	59	0	23	15	54	47	30143	6047	36605	43	41
1051	84856	29	387	40	1	29	17	67	43	41369	7377	40961	41	41
1656	102538	57	490	79	1	50	15	58	45	45833	9078	48231	51	51
705	86678	40	238	44	0	12	15	59	50	29156	4605	39725	19	18
945	85709	44	343	65	0	21	10	40	35	35944	3238	21455	37	34
554	34662	25	232	10	0	18	6	22	7	36278	8100	23430	33	31
1597	150580	77	530	124	0	27	22	83	71	45588	9653	62991	41	39
982	99611	35	291	81	0	41	21	81	67	45097	8914	49363	54	54
222	19349	11	67	15	0	13	1	2	0	3895	786	9604	14	14
1212	99373	63	397	92	1	12	18	72	62	28394	6700	24552	25	24
1143	86230	44	467	42	0	21	17	61	54	18632	5788	31493	25	24
435	30837	19	178	10	0	8	4	15	4	2325	593	3439	8	8
532	31706	13	175	24	0	26	10	32	25	25139	4506	19555	26	26
882	89806	42	299	64	0	27	16	62	40	27975	6382	21228	20	19
608	62088	38	154	45	1	13	16	58	38	14483	5621	23177	11	11
459	40151	29	106	22	0	16	9	36	19	13127	3997	22094	14	14
578	27634	20	189	56	0	2	16	59	17	5839	520	2342	3	1
826	76990	27	194	94	0	42	17	68	67	24069	8891	38798	40	39
509	37460	20	135	19	0	5	7	21	14	3738	999	3255	5	5
717	54157	19	201	35	0	37	15	55	30	18625	7067	24261	38	37
637	49862	37	207	32	0	17	14	54	54	36341	4639	18511	32	32
857	84337	26	280	35	0	38	14	55	35	24548	5654	40798	41	38
830	64175	42	260	48	0	37	18	72	59	21792	6928	28893	46	47
652	59382	49	227	49	0	29	12	41	24	26263	1514	21425	47	47
707	119308	30	239	48	0	32	16	61	58	23686	9238	50276	37	37
954	76702	49	333	62	0	35	21	67	42	49303	8204	37643	51	51
1461	103425	67	428	96	1	17	19	76	46	25659	5926	30377	49	45
672	70344	28	230	45	0	20	16	64	61	28904	5785	27126	21	21
778	43410	19	292	63	0	7	1	3	3	2781	4	13	1	1
1141	104838	49	350	71	1	46	16	63	52	29236	5930	42097	44	42
680	62215	27	186	26	0	24	10	40	25	19546	3710	24451	26	26
1090	69304	30	326	48	6	40	19	69	40	22818	705	14335	21	21
616	53117	22	155	29	3	3	12	48	32	32689	443	5084	4	4
285	19764	12	75	19	1	10	2	8	4	5752	2416	9927	10	10
1145	86680	31	361	45	2	37	14	52	49	22197	7747	43527	43	43
733	84105	20	261	45	0	17	17	66	63	20055	5432	27184	34	34
888	77945	20	299	67	0	28	19	76	67	25272	4913	21610	32	31
849	89113	39	300	30	0	19	14	43	32	82206	2650	20484	20	19
1182	91005	29	450	36	3	29	11	39	23	32073	2370	20156	34	34
528	40248	16	183	34	1	8	4	14	7	5444	775	6012	6	6
642	64187	27	238	36	0	10	16	61	54	20154	5576	18475	12	11
947	50857	21	165	34	0	15	20	71	37	36944	1352	12645	24	24
819	56613	19	234	37	1	15	12	44	35	8019	3080	11017	16	16
757	62792	35	176	46	0	28	15	60	51	30884	10205	37623	72	72
894	72535	14	329	44	0	17	16	64	39	19540	6095	35873	27	21




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time13 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 & 13 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197076&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]13 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=197076&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197076&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time13 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Goodness of Fit
Correlation0.9553
R-squared0.9127
RMSE24445.1303

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.9553 \tabularnewline
R-squared & 0.9127 \tabularnewline
RMSE & 24445.1303 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197076&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.9553[/C][/ROW]
[ROW][C]R-squared[/C][C]0.9127[/C][/ROW]
[ROW][C]RMSE[/C][C]24445.1303[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197076&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197076&T=1

As an alternative you can also use a QR Code:  

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

Goodness of Fit
Correlation0.9553
R-squared0.9127
RMSE24445.1303







Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
15274667720-14974
2385534320569.29411764764964.705882353
33317019387.413782.6
410164582336.897959183719308.1020408163
5149061199401.954545455-50340.9545454546
6165446169362.47826087-3916.47826086957
7237213236040.3684210531172.63157894736
8173326141174.94444444432151.0555555556
9133131141174.944444444-8043.94444444444
10258873233288.2525584.75
11180083169362.4782608710720.5217391304
12324799320569.2941176474229.70588235295
13230964236040.368421053-5076.36842105264
14236785233288.253496.75
15135473169362.47826087-33889.4782608696
16202925199401.9545454553523.04545454544
17215147236040.368421053-20893.3684210526
18344297320569.29411764723727.705882353
19153935169362.47826087-15427.4782608696
20132943141174.944444444-8231.94444444444
21174724233288.25-58564.25
22174415199401.954545455-24986.9545454546
23225548263935.428571429-38387.4285714286
24223632169362.4782608754269.5217391304
25124817141174.944444444-16357.9444444444
26221698236040.368421053-14342.3684210526
27210767236040.368421053-25273.3684210526
28170266169362.47826087903.521739130432
29260561236040.36842105324520.6315789474
308485382336.89795918372516.10204081633
31294424320569.294117647-26145.294117647
32101011101660.5-649.5
33215641199401.95454545516239.0454545454
34325107320569.2941176474537.70588235295
35717619387.4-12211.4
36167542169362.47826087-1820.47826086957
37106408101660.54747.5
3896560101726.181818182-5166.18181818182
39265769263935.4285714291833.57142857142
40269651320569.294117647-50918.294117647
41149112141174.9444444447937.05555555556
42175824233288.25-57464.25
43152871169362.47826087-16491.4782608696
44111665101660.510004.5
45116408142111.176470588-25703.1764705882
46362301233288.25129012.75
4778800101660.5-22860.5
48183167199401.954545455-16234.9545454546
49277965320569.294117647-42604.294117647
50150629199401.954545455-48772.9545454546
51168809169362.47826087-553.478260869568
522418836085.7857142857-11897.7857142857
53329267263935.42857142965331.5714285714
546502967720-2691
55101097101660.5-563.5
56218946233288.25-14342.25
57244052236040.3684210538011.63157894736
58341570320569.29411764721000.705882353
5910359782336.897959183721260.1020408163
60233328263935.428571429-30607.4285714286
61256462263935.428571429-7473.42857142858
62206161142111.17647058864049.8235294118
63311473320569.294117647-9096.29411764705
64235800236040.368421053-240.368421052641
65177939142111.17647058835827.8235294118
66207176199401.9545454557774.04545454544
67196553169362.4782608727190.5217391304
68174184169362.478260874821.52173913043
69143246141174.9444444442071.05555555556
70187559233288.25-45729.25
71187681199401.954545455-11720.9545454546
72119016121861.375-2845.375
73182192199401.954545455-17209.9545454546
747356682336.8979591837-8770.89795918367
75194979199401.954545455-4422.95454545456
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77143756141174.9444444442581.05555555556
78275541199401.95454545576139.0454545454
79243199236040.3684210537158.63157894736
80182999169362.4782608713636.5217391304
81135649141174.944444444-5525.94444444444
82152299141174.94444444411124.0555555556
83120221121861.375-1640.375
84346485320569.29411764725915.705882353
85145790142111.1764705883678.82352941178
86193339169362.4782608723976.5217391304
8780953101660.5-20707.5
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89130585101660.528924.5
90112611101660.510950.5
91286468233288.2553179.75
92241066236040.3684210535025.63157894736
93148446233288.25-84842.25
94204713199401.9545454555311.04545454544
95182079169362.4782608712716.5217391304
96140344141174.944444444-830.944444444438
97220516233288.25-12772.25
98243060236040.3684210537019.63157894736
99162765169362.47826087-6597.47826086957
100182613169362.4782608713250.5217391304
101232138236040.368421053-3902.36842105264
102265318263935.4285714291382.57142857142
1038557482336.89795918373237.10204081633
104310839320569.294117647-9730.29411764705
105225060199401.95454545525658.0454545454
106232317236040.368421053-3723.36842105264
107144966141174.9444444443791.05555555556
1084328749946.2777777778-6659.27777777778
109155754142111.17647058813642.8235294118
110164709199401.954545455-34692.9545454546
111201940199401.9545454552538.04545454544
112235454236040.368421053-586.368421052641
113220801199401.95454545521399.0454545454
11499466169362.47826087-69896.4782608696
11592661101726.181818182-9065.18181818182
116133328121861.37511466.625
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12210201082336.897959183719673.1020408163
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124243511199401.95454545544109.0454545454
1252293819387.43550.6
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127152474142111.17647058810362.8235294118
1286185767720-5863
12999923142111.176470588-42188.1764705882
130132487141174.944444444-8687.94444444444
131317394320569.294117647-3175.29411764705
1322105419387.41666.6
133209641199401.95454545510239.0454545454
1342264836085.7857142857-13437.7857142857
1353141436085.7857142857-4671.78571428572
1364669849946.2777777778-3248.27777777778
137131698121861.3759836.625
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139244749320569.294117647-75820.294117647
140184510141174.94444444443335.0555555556
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14397839101660.5-3821.5
1443821436085.78571428572128.21428571428
145151101141174.9444444449926.05555555556
146272458236040.36842105336417.6315789474
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148108043121861.375-13818.375
149328107320569.2941176477537.70588235295
150250579236040.36842105314538.6315789474
151351067320569.29411764730497.705882353
152158015169362.47826087-11347.4782608696
1539886682336.897959183716529.1020408163
15485439101660.5-16221.5
155229242233288.25-4046.25
156351619320569.29411764731049.705882353
1578420782336.89795918371870.10204081633
158120445121861.375-1416.375
159324598320569.2941176474028.70588235295
160131069142111.176470588-11042.1764705882
161204271169362.4782608734908.5217391304
162165543199401.954545455-33858.9545454546
163141722141174.944444444547.055555555562
164116048101660.514387.5
165250047199401.95454545550645.0454545454
166299775233288.2566486.75
167195838199401.954545455-3563.95454545456
168173260142111.17647058831148.8235294118
169254488236040.36842105318447.6315789474
170104389141174.944444444-36785.9444444444
171136084142111.176470588-6027.17647058822
172199476236040.368421053-36564.3684210526
1739249982336.897959183710162.1020408163
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175135781121861.37513919.625
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17781240101726.181818182-20486.1818181818
1781468819387.4-4699.4
179181633199401.954545455-17768.9545454546
180271856263935.4285714297920.57142857142
181719919387.4-12188.4
1824666049946.2777777778-3286.27777777778
1831754719387.4-1840.4
184133368121861.37511506.625
1859522782336.897959183712890.1020408163
186152601141174.94444444411426.0555555556
18798146101726.181818182-3580.18181818182
1887961982336.8979591837-2717.89795918367
1895919482336.8979591837-23142.8979591837
190139942169362.47826087-29420.4782608696
191118612101726.18181818216885.8181818182
1927288082336.8979591837-9456.89795918367
1936547567720-2245
19499643101726.181818182-2083.18181818182
19571965677204245
19677272677209552
1974928949946.2777777778-657.277777777781
198135131101726.18181818233404.8181818182
199108446121861.375-13415.375
20089746142111.176470588-52365.1764705882
2014429636085.78571428578210.21428571428
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205124064121861.3752202.625
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20712184882336.897959183739511.1020408163
2085291549946.27777777782968.72222222222
20981872101660.5-19788.5
2105898182336.8979591837-23355.8979591837
2115351549946.27777777783568.72222222222
2126081282336.8979591837-21524.8979591837
2135637567720-11345
2146549067720-2230
215809496772013229
2167630282336.8979591837-6034.89795918367
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21898104142111.176470588-44007.1764705882
2196798967720269
2203098919387.411601.6
221135458142111.176470588-6653.17647058822
22273504677205784
2236312382336.8979591837-19213.8979591837
2246125482336.8979591837-21082.8979591837
2257491482336.8979591837-7422.89795918367
2263177436085.7857142857-4311.78571428572
2278143782336.8979591837-899.897959183669
22887186121861.375-34675.375
2295009049946.2777777778143.722222222219
2306574582336.8979591837-16591.8979591837
2315665349946.27777777786706.72222222222
232158399101726.18181818256672.8181818182
2334645567720-21265
2347362482336.8979591837-8712.89795918367
2353839536085.78571428572309.21428571428
2369189982336.89795918379562.10204081633
237139526121861.37517664.625
2385216449946.27777777782217.72222222222
2395156749946.27777777781620.72222222222
2407055182336.8979591837-11785.8979591837
2418485682336.89795918372519.10204081633
242102538121861.375-19323.375
243866786772018958
2448570982336.89795918373372.10204081633
2453466249946.2777777778-15284.2777777778
246150580121861.37528718.625
24799611101660.5-2049.5
2481934919387.4-38.4000000000015
2499937382336.897959183717036.1020408163
25086230101726.181818182-15496.1818181818
2513083736085.7857142857-5248.78571428572
2523170649946.2777777778-18240.2777777778
2538980682336.89795918377469.10204081633
2546208849946.277777777812141.7222222222
2554015149946.2777777778-9795.27777777778
2562763436085.7857142857-8451.78571428572
2577699082336.8979591837-5346.89795918367
2583746036085.78571428571374.21428571428
2595415749946.27777777784210.72222222222
2604986249946.2777777778-84.277777777781
2618433782336.89795918372000.10204081633
2626417582336.8979591837-18161.8979591837
2635938249946.27777777789435.72222222222
264119308101660.517647.5
2657670282336.8979591837-5634.89795918367
26610342582336.897959183721088.1020408163
26770344677202624
2684341036085.78571428577324.21428571428
26910483882336.897959183722501.1020408163
2706221567720-5505
2716930482336.8979591837-13032.8979591837
2725311736085.785714285717031.2142857143
2731976419387.4376.599999999999
2748668082336.89795918374343.10204081633
275841056772016385
2767794582336.8979591837-4391.89795918367
2778911382336.89795918376776.10204081633
27891005101726.181818182-10721.1818181818
2794024836085.78571428574162.21428571428
2806418749946.277777777814240.7222222222
2815085782336.8979591837-31479.8979591837
2825661382336.8979591837-25723.8979591837
2836279267720-4928
2847253582336.8979591837-9801.89795918367

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 52746 & 67720 & -14974 \tabularnewline
2 & 385534 & 320569.294117647 & 64964.705882353 \tabularnewline
3 & 33170 & 19387.4 & 13782.6 \tabularnewline
4 & 101645 & 82336.8979591837 & 19308.1020408163 \tabularnewline
5 & 149061 & 199401.954545455 & -50340.9545454546 \tabularnewline
6 & 165446 & 169362.47826087 & -3916.47826086957 \tabularnewline
7 & 237213 & 236040.368421053 & 1172.63157894736 \tabularnewline
8 & 173326 & 141174.944444444 & 32151.0555555556 \tabularnewline
9 & 133131 & 141174.944444444 & -8043.94444444444 \tabularnewline
10 & 258873 & 233288.25 & 25584.75 \tabularnewline
11 & 180083 & 169362.47826087 & 10720.5217391304 \tabularnewline
12 & 324799 & 320569.294117647 & 4229.70588235295 \tabularnewline
13 & 230964 & 236040.368421053 & -5076.36842105264 \tabularnewline
14 & 236785 & 233288.25 & 3496.75 \tabularnewline
15 & 135473 & 169362.47826087 & -33889.4782608696 \tabularnewline
16 & 202925 & 199401.954545455 & 3523.04545454544 \tabularnewline
17 & 215147 & 236040.368421053 & -20893.3684210526 \tabularnewline
18 & 344297 & 320569.294117647 & 23727.705882353 \tabularnewline
19 & 153935 & 169362.47826087 & -15427.4782608696 \tabularnewline
20 & 132943 & 141174.944444444 & -8231.94444444444 \tabularnewline
21 & 174724 & 233288.25 & -58564.25 \tabularnewline
22 & 174415 & 199401.954545455 & -24986.9545454546 \tabularnewline
23 & 225548 & 263935.428571429 & -38387.4285714286 \tabularnewline
24 & 223632 & 169362.47826087 & 54269.5217391304 \tabularnewline
25 & 124817 & 141174.944444444 & -16357.9444444444 \tabularnewline
26 & 221698 & 236040.368421053 & -14342.3684210526 \tabularnewline
27 & 210767 & 236040.368421053 & -25273.3684210526 \tabularnewline
28 & 170266 & 169362.47826087 & 903.521739130432 \tabularnewline
29 & 260561 & 236040.368421053 & 24520.6315789474 \tabularnewline
30 & 84853 & 82336.8979591837 & 2516.10204081633 \tabularnewline
31 & 294424 & 320569.294117647 & -26145.294117647 \tabularnewline
32 & 101011 & 101660.5 & -649.5 \tabularnewline
33 & 215641 & 199401.954545455 & 16239.0454545454 \tabularnewline
34 & 325107 & 320569.294117647 & 4537.70588235295 \tabularnewline
35 & 7176 & 19387.4 & -12211.4 \tabularnewline
36 & 167542 & 169362.47826087 & -1820.47826086957 \tabularnewline
37 & 106408 & 101660.5 & 4747.5 \tabularnewline
38 & 96560 & 101726.181818182 & -5166.18181818182 \tabularnewline
39 & 265769 & 263935.428571429 & 1833.57142857142 \tabularnewline
40 & 269651 & 320569.294117647 & -50918.294117647 \tabularnewline
41 & 149112 & 141174.944444444 & 7937.05555555556 \tabularnewline
42 & 175824 & 233288.25 & -57464.25 \tabularnewline
43 & 152871 & 169362.47826087 & -16491.4782608696 \tabularnewline
44 & 111665 & 101660.5 & 10004.5 \tabularnewline
45 & 116408 & 142111.176470588 & -25703.1764705882 \tabularnewline
46 & 362301 & 233288.25 & 129012.75 \tabularnewline
47 & 78800 & 101660.5 & -22860.5 \tabularnewline
48 & 183167 & 199401.954545455 & -16234.9545454546 \tabularnewline
49 & 277965 & 320569.294117647 & -42604.294117647 \tabularnewline
50 & 150629 & 199401.954545455 & -48772.9545454546 \tabularnewline
51 & 168809 & 169362.47826087 & -553.478260869568 \tabularnewline
52 & 24188 & 36085.7857142857 & -11897.7857142857 \tabularnewline
53 & 329267 & 263935.428571429 & 65331.5714285714 \tabularnewline
54 & 65029 & 67720 & -2691 \tabularnewline
55 & 101097 & 101660.5 & -563.5 \tabularnewline
56 & 218946 & 233288.25 & -14342.25 \tabularnewline
57 & 244052 & 236040.368421053 & 8011.63157894736 \tabularnewline
58 & 341570 & 320569.294117647 & 21000.705882353 \tabularnewline
59 & 103597 & 82336.8979591837 & 21260.1020408163 \tabularnewline
60 & 233328 & 263935.428571429 & -30607.4285714286 \tabularnewline
61 & 256462 & 263935.428571429 & -7473.42857142858 \tabularnewline
62 & 206161 & 142111.176470588 & 64049.8235294118 \tabularnewline
63 & 311473 & 320569.294117647 & -9096.29411764705 \tabularnewline
64 & 235800 & 236040.368421053 & -240.368421052641 \tabularnewline
65 & 177939 & 142111.176470588 & 35827.8235294118 \tabularnewline
66 & 207176 & 199401.954545455 & 7774.04545454544 \tabularnewline
67 & 196553 & 169362.47826087 & 27190.5217391304 \tabularnewline
68 & 174184 & 169362.47826087 & 4821.52173913043 \tabularnewline
69 & 143246 & 141174.944444444 & 2071.05555555556 \tabularnewline
70 & 187559 & 233288.25 & -45729.25 \tabularnewline
71 & 187681 & 199401.954545455 & -11720.9545454546 \tabularnewline
72 & 119016 & 121861.375 & -2845.375 \tabularnewline
73 & 182192 & 199401.954545455 & -17209.9545454546 \tabularnewline
74 & 73566 & 82336.8979591837 & -8770.89795918367 \tabularnewline
75 & 194979 & 199401.954545455 & -4422.95454545456 \tabularnewline
76 & 167488 & 142111.176470588 & 25376.8235294118 \tabularnewline
77 & 143756 & 141174.944444444 & 2581.05555555556 \tabularnewline
78 & 275541 & 199401.954545455 & 76139.0454545454 \tabularnewline
79 & 243199 & 236040.368421053 & 7158.63157894736 \tabularnewline
80 & 182999 & 169362.47826087 & 13636.5217391304 \tabularnewline
81 & 135649 & 141174.944444444 & -5525.94444444444 \tabularnewline
82 & 152299 & 141174.944444444 & 11124.0555555556 \tabularnewline
83 & 120221 & 121861.375 & -1640.375 \tabularnewline
84 & 346485 & 320569.294117647 & 25915.705882353 \tabularnewline
85 & 145790 & 142111.176470588 & 3678.82352941178 \tabularnewline
86 & 193339 & 169362.47826087 & 23976.5217391304 \tabularnewline
87 & 80953 & 101660.5 & -20707.5 \tabularnewline
88 & 122774 & 142111.176470588 & -19337.1764705882 \tabularnewline
89 & 130585 & 101660.5 & 28924.5 \tabularnewline
90 & 112611 & 101660.5 & 10950.5 \tabularnewline
91 & 286468 & 233288.25 & 53179.75 \tabularnewline
92 & 241066 & 236040.368421053 & 5025.63157894736 \tabularnewline
93 & 148446 & 233288.25 & -84842.25 \tabularnewline
94 & 204713 & 199401.954545455 & 5311.04545454544 \tabularnewline
95 & 182079 & 169362.47826087 & 12716.5217391304 \tabularnewline
96 & 140344 & 141174.944444444 & -830.944444444438 \tabularnewline
97 & 220516 & 233288.25 & -12772.25 \tabularnewline
98 & 243060 & 236040.368421053 & 7019.63157894736 \tabularnewline
99 & 162765 & 169362.47826087 & -6597.47826086957 \tabularnewline
100 & 182613 & 169362.47826087 & 13250.5217391304 \tabularnewline
101 & 232138 & 236040.368421053 & -3902.36842105264 \tabularnewline
102 & 265318 & 263935.428571429 & 1382.57142857142 \tabularnewline
103 & 85574 & 82336.8979591837 & 3237.10204081633 \tabularnewline
104 & 310839 & 320569.294117647 & -9730.29411764705 \tabularnewline
105 & 225060 & 199401.954545455 & 25658.0454545454 \tabularnewline
106 & 232317 & 236040.368421053 & -3723.36842105264 \tabularnewline
107 & 144966 & 141174.944444444 & 3791.05555555556 \tabularnewline
108 & 43287 & 49946.2777777778 & -6659.27777777778 \tabularnewline
109 & 155754 & 142111.176470588 & 13642.8235294118 \tabularnewline
110 & 164709 & 199401.954545455 & -34692.9545454546 \tabularnewline
111 & 201940 & 199401.954545455 & 2538.04545454544 \tabularnewline
112 & 235454 & 236040.368421053 & -586.368421052641 \tabularnewline
113 & 220801 & 199401.954545455 & 21399.0454545454 \tabularnewline
114 & 99466 & 169362.47826087 & -69896.4782608696 \tabularnewline
115 & 92661 & 101726.181818182 & -9065.18181818182 \tabularnewline
116 & 133328 & 121861.375 & 11466.625 \tabularnewline
117 & 61361 & 101726.181818182 & -40365.1818181818 \tabularnewline
118 & 125930 & 142111.176470588 & -16181.1764705882 \tabularnewline
119 & 100750 & 141174.944444444 & -40424.9444444444 \tabularnewline
120 & 224549 & 169362.47826087 & 55186.5217391304 \tabularnewline
121 & 82316 & 82336.8979591837 & -20.8979591836687 \tabularnewline
122 & 102010 & 82336.8979591837 & 19673.1020408163 \tabularnewline
123 & 101523 & 121861.375 & -20338.375 \tabularnewline
124 & 243511 & 199401.954545455 & 44109.0454545454 \tabularnewline
125 & 22938 & 19387.4 & 3550.6 \tabularnewline
126 & 41566 & 36085.7857142857 & 5480.21428571428 \tabularnewline
127 & 152474 & 142111.176470588 & 10362.8235294118 \tabularnewline
128 & 61857 & 67720 & -5863 \tabularnewline
129 & 99923 & 142111.176470588 & -42188.1764705882 \tabularnewline
130 & 132487 & 141174.944444444 & -8687.94444444444 \tabularnewline
131 & 317394 & 320569.294117647 & -3175.29411764705 \tabularnewline
132 & 21054 & 19387.4 & 1666.6 \tabularnewline
133 & 209641 & 199401.954545455 & 10239.0454545454 \tabularnewline
134 & 22648 & 36085.7857142857 & -13437.7857142857 \tabularnewline
135 & 31414 & 36085.7857142857 & -4671.78571428572 \tabularnewline
136 & 46698 & 49946.2777777778 & -3248.27777777778 \tabularnewline
137 & 131698 & 121861.375 & 9836.625 \tabularnewline
138 & 91735 & 82336.8979591837 & 9398.10204081633 \tabularnewline
139 & 244749 & 320569.294117647 & -75820.294117647 \tabularnewline
140 & 184510 & 141174.944444444 & 43335.0555555556 \tabularnewline
141 & 79863 & 82336.8979591837 & -2473.89795918367 \tabularnewline
142 & 128423 & 82336.8979591837 & 46086.1020408163 \tabularnewline
143 & 97839 & 101660.5 & -3821.5 \tabularnewline
144 & 38214 & 36085.7857142857 & 2128.21428571428 \tabularnewline
145 & 151101 & 141174.944444444 & 9926.05555555556 \tabularnewline
146 & 272458 & 236040.368421053 & 36417.6315789474 \tabularnewline
147 & 172494 & 169362.47826087 & 3131.52173913043 \tabularnewline
148 & 108043 & 121861.375 & -13818.375 \tabularnewline
149 & 328107 & 320569.294117647 & 7537.70588235295 \tabularnewline
150 & 250579 & 236040.368421053 & 14538.6315789474 \tabularnewline
151 & 351067 & 320569.294117647 & 30497.705882353 \tabularnewline
152 & 158015 & 169362.47826087 & -11347.4782608696 \tabularnewline
153 & 98866 & 82336.8979591837 & 16529.1020408163 \tabularnewline
154 & 85439 & 101660.5 & -16221.5 \tabularnewline
155 & 229242 & 233288.25 & -4046.25 \tabularnewline
156 & 351619 & 320569.294117647 & 31049.705882353 \tabularnewline
157 & 84207 & 82336.8979591837 & 1870.10204081633 \tabularnewline
158 & 120445 & 121861.375 & -1416.375 \tabularnewline
159 & 324598 & 320569.294117647 & 4028.70588235295 \tabularnewline
160 & 131069 & 142111.176470588 & -11042.1764705882 \tabularnewline
161 & 204271 & 169362.47826087 & 34908.5217391304 \tabularnewline
162 & 165543 & 199401.954545455 & -33858.9545454546 \tabularnewline
163 & 141722 & 141174.944444444 & 547.055555555562 \tabularnewline
164 & 116048 & 101660.5 & 14387.5 \tabularnewline
165 & 250047 & 199401.954545455 & 50645.0454545454 \tabularnewline
166 & 299775 & 233288.25 & 66486.75 \tabularnewline
167 & 195838 & 199401.954545455 & -3563.95454545456 \tabularnewline
168 & 173260 & 142111.176470588 & 31148.8235294118 \tabularnewline
169 & 254488 & 236040.368421053 & 18447.6315789474 \tabularnewline
170 & 104389 & 141174.944444444 & -36785.9444444444 \tabularnewline
171 & 136084 & 142111.176470588 & -6027.17647058822 \tabularnewline
172 & 199476 & 236040.368421053 & -36564.3684210526 \tabularnewline
173 & 92499 & 82336.8979591837 & 10162.1020408163 \tabularnewline
174 & 224330 & 236040.368421053 & -11710.3684210526 \tabularnewline
175 & 135781 & 121861.375 & 13919.625 \tabularnewline
176 & 74408 & 82336.8979591837 & -7928.89795918367 \tabularnewline
177 & 81240 & 101726.181818182 & -20486.1818181818 \tabularnewline
178 & 14688 & 19387.4 & -4699.4 \tabularnewline
179 & 181633 & 199401.954545455 & -17768.9545454546 \tabularnewline
180 & 271856 & 263935.428571429 & 7920.57142857142 \tabularnewline
181 & 7199 & 19387.4 & -12188.4 \tabularnewline
182 & 46660 & 49946.2777777778 & -3286.27777777778 \tabularnewline
183 & 17547 & 19387.4 & -1840.4 \tabularnewline
184 & 133368 & 121861.375 & 11506.625 \tabularnewline
185 & 95227 & 82336.8979591837 & 12890.1020408163 \tabularnewline
186 & 152601 & 141174.944444444 & 11426.0555555556 \tabularnewline
187 & 98146 & 101726.181818182 & -3580.18181818182 \tabularnewline
188 & 79619 & 82336.8979591837 & -2717.89795918367 \tabularnewline
189 & 59194 & 82336.8979591837 & -23142.8979591837 \tabularnewline
190 & 139942 & 169362.47826087 & -29420.4782608696 \tabularnewline
191 & 118612 & 101726.181818182 & 16885.8181818182 \tabularnewline
192 & 72880 & 82336.8979591837 & -9456.89795918367 \tabularnewline
193 & 65475 & 67720 & -2245 \tabularnewline
194 & 99643 & 101726.181818182 & -2083.18181818182 \tabularnewline
195 & 71965 & 67720 & 4245 \tabularnewline
196 & 77272 & 67720 & 9552 \tabularnewline
197 & 49289 & 49946.2777777778 & -657.277777777781 \tabularnewline
198 & 135131 & 101726.181818182 & 33404.8181818182 \tabularnewline
199 & 108446 & 121861.375 & -13415.375 \tabularnewline
200 & 89746 & 142111.176470588 & -52365.1764705882 \tabularnewline
201 & 44296 & 36085.7857142857 & 8210.21428571428 \tabularnewline
202 & 77648 & 82336.8979591837 & -4688.89795918367 \tabularnewline
203 & 181528 & 142111.176470588 & 39416.8235294118 \tabularnewline
204 & 134019 & 121861.375 & 12157.625 \tabularnewline
205 & 124064 & 121861.375 & 2202.625 \tabularnewline
206 & 92630 & 82336.8979591837 & 10293.1020408163 \tabularnewline
207 & 121848 & 82336.8979591837 & 39511.1020408163 \tabularnewline
208 & 52915 & 49946.2777777778 & 2968.72222222222 \tabularnewline
209 & 81872 & 101660.5 & -19788.5 \tabularnewline
210 & 58981 & 82336.8979591837 & -23355.8979591837 \tabularnewline
211 & 53515 & 49946.2777777778 & 3568.72222222222 \tabularnewline
212 & 60812 & 82336.8979591837 & -21524.8979591837 \tabularnewline
213 & 56375 & 67720 & -11345 \tabularnewline
214 & 65490 & 67720 & -2230 \tabularnewline
215 & 80949 & 67720 & 13229 \tabularnewline
216 & 76302 & 82336.8979591837 & -6034.89795918367 \tabularnewline
217 & 104011 & 169362.47826087 & -65351.4782608696 \tabularnewline
218 & 98104 & 142111.176470588 & -44007.1764705882 \tabularnewline
219 & 67989 & 67720 & 269 \tabularnewline
220 & 30989 & 19387.4 & 11601.6 \tabularnewline
221 & 135458 & 142111.176470588 & -6653.17647058822 \tabularnewline
222 & 73504 & 67720 & 5784 \tabularnewline
223 & 63123 & 82336.8979591837 & -19213.8979591837 \tabularnewline
224 & 61254 & 82336.8979591837 & -21082.8979591837 \tabularnewline
225 & 74914 & 82336.8979591837 & -7422.89795918367 \tabularnewline
226 & 31774 & 36085.7857142857 & -4311.78571428572 \tabularnewline
227 & 81437 & 82336.8979591837 & -899.897959183669 \tabularnewline
228 & 87186 & 121861.375 & -34675.375 \tabularnewline
229 & 50090 & 49946.2777777778 & 143.722222222219 \tabularnewline
230 & 65745 & 82336.8979591837 & -16591.8979591837 \tabularnewline
231 & 56653 & 49946.2777777778 & 6706.72222222222 \tabularnewline
232 & 158399 & 101726.181818182 & 56672.8181818182 \tabularnewline
233 & 46455 & 67720 & -21265 \tabularnewline
234 & 73624 & 82336.8979591837 & -8712.89795918367 \tabularnewline
235 & 38395 & 36085.7857142857 & 2309.21428571428 \tabularnewline
236 & 91899 & 82336.8979591837 & 9562.10204081633 \tabularnewline
237 & 139526 & 121861.375 & 17664.625 \tabularnewline
238 & 52164 & 49946.2777777778 & 2217.72222222222 \tabularnewline
239 & 51567 & 49946.2777777778 & 1620.72222222222 \tabularnewline
240 & 70551 & 82336.8979591837 & -11785.8979591837 \tabularnewline
241 & 84856 & 82336.8979591837 & 2519.10204081633 \tabularnewline
242 & 102538 & 121861.375 & -19323.375 \tabularnewline
243 & 86678 & 67720 & 18958 \tabularnewline
244 & 85709 & 82336.8979591837 & 3372.10204081633 \tabularnewline
245 & 34662 & 49946.2777777778 & -15284.2777777778 \tabularnewline
246 & 150580 & 121861.375 & 28718.625 \tabularnewline
247 & 99611 & 101660.5 & -2049.5 \tabularnewline
248 & 19349 & 19387.4 & -38.4000000000015 \tabularnewline
249 & 99373 & 82336.8979591837 & 17036.1020408163 \tabularnewline
250 & 86230 & 101726.181818182 & -15496.1818181818 \tabularnewline
251 & 30837 & 36085.7857142857 & -5248.78571428572 \tabularnewline
252 & 31706 & 49946.2777777778 & -18240.2777777778 \tabularnewline
253 & 89806 & 82336.8979591837 & 7469.10204081633 \tabularnewline
254 & 62088 & 49946.2777777778 & 12141.7222222222 \tabularnewline
255 & 40151 & 49946.2777777778 & -9795.27777777778 \tabularnewline
256 & 27634 & 36085.7857142857 & -8451.78571428572 \tabularnewline
257 & 76990 & 82336.8979591837 & -5346.89795918367 \tabularnewline
258 & 37460 & 36085.7857142857 & 1374.21428571428 \tabularnewline
259 & 54157 & 49946.2777777778 & 4210.72222222222 \tabularnewline
260 & 49862 & 49946.2777777778 & -84.277777777781 \tabularnewline
261 & 84337 & 82336.8979591837 & 2000.10204081633 \tabularnewline
262 & 64175 & 82336.8979591837 & -18161.8979591837 \tabularnewline
263 & 59382 & 49946.2777777778 & 9435.72222222222 \tabularnewline
264 & 119308 & 101660.5 & 17647.5 \tabularnewline
265 & 76702 & 82336.8979591837 & -5634.89795918367 \tabularnewline
266 & 103425 & 82336.8979591837 & 21088.1020408163 \tabularnewline
267 & 70344 & 67720 & 2624 \tabularnewline
268 & 43410 & 36085.7857142857 & 7324.21428571428 \tabularnewline
269 & 104838 & 82336.8979591837 & 22501.1020408163 \tabularnewline
270 & 62215 & 67720 & -5505 \tabularnewline
271 & 69304 & 82336.8979591837 & -13032.8979591837 \tabularnewline
272 & 53117 & 36085.7857142857 & 17031.2142857143 \tabularnewline
273 & 19764 & 19387.4 & 376.599999999999 \tabularnewline
274 & 86680 & 82336.8979591837 & 4343.10204081633 \tabularnewline
275 & 84105 & 67720 & 16385 \tabularnewline
276 & 77945 & 82336.8979591837 & -4391.89795918367 \tabularnewline
277 & 89113 & 82336.8979591837 & 6776.10204081633 \tabularnewline
278 & 91005 & 101726.181818182 & -10721.1818181818 \tabularnewline
279 & 40248 & 36085.7857142857 & 4162.21428571428 \tabularnewline
280 & 64187 & 49946.2777777778 & 14240.7222222222 \tabularnewline
281 & 50857 & 82336.8979591837 & -31479.8979591837 \tabularnewline
282 & 56613 & 82336.8979591837 & -25723.8979591837 \tabularnewline
283 & 62792 & 67720 & -4928 \tabularnewline
284 & 72535 & 82336.8979591837 & -9801.89795918367 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197076&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]52746[/C][C]67720[/C][C]-14974[/C][/ROW]
[ROW][C]2[/C][C]385534[/C][C]320569.294117647[/C][C]64964.705882353[/C][/ROW]
[ROW][C]3[/C][C]33170[/C][C]19387.4[/C][C]13782.6[/C][/ROW]
[ROW][C]4[/C][C]101645[/C][C]82336.8979591837[/C][C]19308.1020408163[/C][/ROW]
[ROW][C]5[/C][C]149061[/C][C]199401.954545455[/C][C]-50340.9545454546[/C][/ROW]
[ROW][C]6[/C][C]165446[/C][C]169362.47826087[/C][C]-3916.47826086957[/C][/ROW]
[ROW][C]7[/C][C]237213[/C][C]236040.368421053[/C][C]1172.63157894736[/C][/ROW]
[ROW][C]8[/C][C]173326[/C][C]141174.944444444[/C][C]32151.0555555556[/C][/ROW]
[ROW][C]9[/C][C]133131[/C][C]141174.944444444[/C][C]-8043.94444444444[/C][/ROW]
[ROW][C]10[/C][C]258873[/C][C]233288.25[/C][C]25584.75[/C][/ROW]
[ROW][C]11[/C][C]180083[/C][C]169362.47826087[/C][C]10720.5217391304[/C][/ROW]
[ROW][C]12[/C][C]324799[/C][C]320569.294117647[/C][C]4229.70588235295[/C][/ROW]
[ROW][C]13[/C][C]230964[/C][C]236040.368421053[/C][C]-5076.36842105264[/C][/ROW]
[ROW][C]14[/C][C]236785[/C][C]233288.25[/C][C]3496.75[/C][/ROW]
[ROW][C]15[/C][C]135473[/C][C]169362.47826087[/C][C]-33889.4782608696[/C][/ROW]
[ROW][C]16[/C][C]202925[/C][C]199401.954545455[/C][C]3523.04545454544[/C][/ROW]
[ROW][C]17[/C][C]215147[/C][C]236040.368421053[/C][C]-20893.3684210526[/C][/ROW]
[ROW][C]18[/C][C]344297[/C][C]320569.294117647[/C][C]23727.705882353[/C][/ROW]
[ROW][C]19[/C][C]153935[/C][C]169362.47826087[/C][C]-15427.4782608696[/C][/ROW]
[ROW][C]20[/C][C]132943[/C][C]141174.944444444[/C][C]-8231.94444444444[/C][/ROW]
[ROW][C]21[/C][C]174724[/C][C]233288.25[/C][C]-58564.25[/C][/ROW]
[ROW][C]22[/C][C]174415[/C][C]199401.954545455[/C][C]-24986.9545454546[/C][/ROW]
[ROW][C]23[/C][C]225548[/C][C]263935.428571429[/C][C]-38387.4285714286[/C][/ROW]
[ROW][C]24[/C][C]223632[/C][C]169362.47826087[/C][C]54269.5217391304[/C][/ROW]
[ROW][C]25[/C][C]124817[/C][C]141174.944444444[/C][C]-16357.9444444444[/C][/ROW]
[ROW][C]26[/C][C]221698[/C][C]236040.368421053[/C][C]-14342.3684210526[/C][/ROW]
[ROW][C]27[/C][C]210767[/C][C]236040.368421053[/C][C]-25273.3684210526[/C][/ROW]
[ROW][C]28[/C][C]170266[/C][C]169362.47826087[/C][C]903.521739130432[/C][/ROW]
[ROW][C]29[/C][C]260561[/C][C]236040.368421053[/C][C]24520.6315789474[/C][/ROW]
[ROW][C]30[/C][C]84853[/C][C]82336.8979591837[/C][C]2516.10204081633[/C][/ROW]
[ROW][C]31[/C][C]294424[/C][C]320569.294117647[/C][C]-26145.294117647[/C][/ROW]
[ROW][C]32[/C][C]101011[/C][C]101660.5[/C][C]-649.5[/C][/ROW]
[ROW][C]33[/C][C]215641[/C][C]199401.954545455[/C][C]16239.0454545454[/C][/ROW]
[ROW][C]34[/C][C]325107[/C][C]320569.294117647[/C][C]4537.70588235295[/C][/ROW]
[ROW][C]35[/C][C]7176[/C][C]19387.4[/C][C]-12211.4[/C][/ROW]
[ROW][C]36[/C][C]167542[/C][C]169362.47826087[/C][C]-1820.47826086957[/C][/ROW]
[ROW][C]37[/C][C]106408[/C][C]101660.5[/C][C]4747.5[/C][/ROW]
[ROW][C]38[/C][C]96560[/C][C]101726.181818182[/C][C]-5166.18181818182[/C][/ROW]
[ROW][C]39[/C][C]265769[/C][C]263935.428571429[/C][C]1833.57142857142[/C][/ROW]
[ROW][C]40[/C][C]269651[/C][C]320569.294117647[/C][C]-50918.294117647[/C][/ROW]
[ROW][C]41[/C][C]149112[/C][C]141174.944444444[/C][C]7937.05555555556[/C][/ROW]
[ROW][C]42[/C][C]175824[/C][C]233288.25[/C][C]-57464.25[/C][/ROW]
[ROW][C]43[/C][C]152871[/C][C]169362.47826087[/C][C]-16491.4782608696[/C][/ROW]
[ROW][C]44[/C][C]111665[/C][C]101660.5[/C][C]10004.5[/C][/ROW]
[ROW][C]45[/C][C]116408[/C][C]142111.176470588[/C][C]-25703.1764705882[/C][/ROW]
[ROW][C]46[/C][C]362301[/C][C]233288.25[/C][C]129012.75[/C][/ROW]
[ROW][C]47[/C][C]78800[/C][C]101660.5[/C][C]-22860.5[/C][/ROW]
[ROW][C]48[/C][C]183167[/C][C]199401.954545455[/C][C]-16234.9545454546[/C][/ROW]
[ROW][C]49[/C][C]277965[/C][C]320569.294117647[/C][C]-42604.294117647[/C][/ROW]
[ROW][C]50[/C][C]150629[/C][C]199401.954545455[/C][C]-48772.9545454546[/C][/ROW]
[ROW][C]51[/C][C]168809[/C][C]169362.47826087[/C][C]-553.478260869568[/C][/ROW]
[ROW][C]52[/C][C]24188[/C][C]36085.7857142857[/C][C]-11897.7857142857[/C][/ROW]
[ROW][C]53[/C][C]329267[/C][C]263935.428571429[/C][C]65331.5714285714[/C][/ROW]
[ROW][C]54[/C][C]65029[/C][C]67720[/C][C]-2691[/C][/ROW]
[ROW][C]55[/C][C]101097[/C][C]101660.5[/C][C]-563.5[/C][/ROW]
[ROW][C]56[/C][C]218946[/C][C]233288.25[/C][C]-14342.25[/C][/ROW]
[ROW][C]57[/C][C]244052[/C][C]236040.368421053[/C][C]8011.63157894736[/C][/ROW]
[ROW][C]58[/C][C]341570[/C][C]320569.294117647[/C][C]21000.705882353[/C][/ROW]
[ROW][C]59[/C][C]103597[/C][C]82336.8979591837[/C][C]21260.1020408163[/C][/ROW]
[ROW][C]60[/C][C]233328[/C][C]263935.428571429[/C][C]-30607.4285714286[/C][/ROW]
[ROW][C]61[/C][C]256462[/C][C]263935.428571429[/C][C]-7473.42857142858[/C][/ROW]
[ROW][C]62[/C][C]206161[/C][C]142111.176470588[/C][C]64049.8235294118[/C][/ROW]
[ROW][C]63[/C][C]311473[/C][C]320569.294117647[/C][C]-9096.29411764705[/C][/ROW]
[ROW][C]64[/C][C]235800[/C][C]236040.368421053[/C][C]-240.368421052641[/C][/ROW]
[ROW][C]65[/C][C]177939[/C][C]142111.176470588[/C][C]35827.8235294118[/C][/ROW]
[ROW][C]66[/C][C]207176[/C][C]199401.954545455[/C][C]7774.04545454544[/C][/ROW]
[ROW][C]67[/C][C]196553[/C][C]169362.47826087[/C][C]27190.5217391304[/C][/ROW]
[ROW][C]68[/C][C]174184[/C][C]169362.47826087[/C][C]4821.52173913043[/C][/ROW]
[ROW][C]69[/C][C]143246[/C][C]141174.944444444[/C][C]2071.05555555556[/C][/ROW]
[ROW][C]70[/C][C]187559[/C][C]233288.25[/C][C]-45729.25[/C][/ROW]
[ROW][C]71[/C][C]187681[/C][C]199401.954545455[/C][C]-11720.9545454546[/C][/ROW]
[ROW][C]72[/C][C]119016[/C][C]121861.375[/C][C]-2845.375[/C][/ROW]
[ROW][C]73[/C][C]182192[/C][C]199401.954545455[/C][C]-17209.9545454546[/C][/ROW]
[ROW][C]74[/C][C]73566[/C][C]82336.8979591837[/C][C]-8770.89795918367[/C][/ROW]
[ROW][C]75[/C][C]194979[/C][C]199401.954545455[/C][C]-4422.95454545456[/C][/ROW]
[ROW][C]76[/C][C]167488[/C][C]142111.176470588[/C][C]25376.8235294118[/C][/ROW]
[ROW][C]77[/C][C]143756[/C][C]141174.944444444[/C][C]2581.05555555556[/C][/ROW]
[ROW][C]78[/C][C]275541[/C][C]199401.954545455[/C][C]76139.0454545454[/C][/ROW]
[ROW][C]79[/C][C]243199[/C][C]236040.368421053[/C][C]7158.63157894736[/C][/ROW]
[ROW][C]80[/C][C]182999[/C][C]169362.47826087[/C][C]13636.5217391304[/C][/ROW]
[ROW][C]81[/C][C]135649[/C][C]141174.944444444[/C][C]-5525.94444444444[/C][/ROW]
[ROW][C]82[/C][C]152299[/C][C]141174.944444444[/C][C]11124.0555555556[/C][/ROW]
[ROW][C]83[/C][C]120221[/C][C]121861.375[/C][C]-1640.375[/C][/ROW]
[ROW][C]84[/C][C]346485[/C][C]320569.294117647[/C][C]25915.705882353[/C][/ROW]
[ROW][C]85[/C][C]145790[/C][C]142111.176470588[/C][C]3678.82352941178[/C][/ROW]
[ROW][C]86[/C][C]193339[/C][C]169362.47826087[/C][C]23976.5217391304[/C][/ROW]
[ROW][C]87[/C][C]80953[/C][C]101660.5[/C][C]-20707.5[/C][/ROW]
[ROW][C]88[/C][C]122774[/C][C]142111.176470588[/C][C]-19337.1764705882[/C][/ROW]
[ROW][C]89[/C][C]130585[/C][C]101660.5[/C][C]28924.5[/C][/ROW]
[ROW][C]90[/C][C]112611[/C][C]101660.5[/C][C]10950.5[/C][/ROW]
[ROW][C]91[/C][C]286468[/C][C]233288.25[/C][C]53179.75[/C][/ROW]
[ROW][C]92[/C][C]241066[/C][C]236040.368421053[/C][C]5025.63157894736[/C][/ROW]
[ROW][C]93[/C][C]148446[/C][C]233288.25[/C][C]-84842.25[/C][/ROW]
[ROW][C]94[/C][C]204713[/C][C]199401.954545455[/C][C]5311.04545454544[/C][/ROW]
[ROW][C]95[/C][C]182079[/C][C]169362.47826087[/C][C]12716.5217391304[/C][/ROW]
[ROW][C]96[/C][C]140344[/C][C]141174.944444444[/C][C]-830.944444444438[/C][/ROW]
[ROW][C]97[/C][C]220516[/C][C]233288.25[/C][C]-12772.25[/C][/ROW]
[ROW][C]98[/C][C]243060[/C][C]236040.368421053[/C][C]7019.63157894736[/C][/ROW]
[ROW][C]99[/C][C]162765[/C][C]169362.47826087[/C][C]-6597.47826086957[/C][/ROW]
[ROW][C]100[/C][C]182613[/C][C]169362.47826087[/C][C]13250.5217391304[/C][/ROW]
[ROW][C]101[/C][C]232138[/C][C]236040.368421053[/C][C]-3902.36842105264[/C][/ROW]
[ROW][C]102[/C][C]265318[/C][C]263935.428571429[/C][C]1382.57142857142[/C][/ROW]
[ROW][C]103[/C][C]85574[/C][C]82336.8979591837[/C][C]3237.10204081633[/C][/ROW]
[ROW][C]104[/C][C]310839[/C][C]320569.294117647[/C][C]-9730.29411764705[/C][/ROW]
[ROW][C]105[/C][C]225060[/C][C]199401.954545455[/C][C]25658.0454545454[/C][/ROW]
[ROW][C]106[/C][C]232317[/C][C]236040.368421053[/C][C]-3723.36842105264[/C][/ROW]
[ROW][C]107[/C][C]144966[/C][C]141174.944444444[/C][C]3791.05555555556[/C][/ROW]
[ROW][C]108[/C][C]43287[/C][C]49946.2777777778[/C][C]-6659.27777777778[/C][/ROW]
[ROW][C]109[/C][C]155754[/C][C]142111.176470588[/C][C]13642.8235294118[/C][/ROW]
[ROW][C]110[/C][C]164709[/C][C]199401.954545455[/C][C]-34692.9545454546[/C][/ROW]
[ROW][C]111[/C][C]201940[/C][C]199401.954545455[/C][C]2538.04545454544[/C][/ROW]
[ROW][C]112[/C][C]235454[/C][C]236040.368421053[/C][C]-586.368421052641[/C][/ROW]
[ROW][C]113[/C][C]220801[/C][C]199401.954545455[/C][C]21399.0454545454[/C][/ROW]
[ROW][C]114[/C][C]99466[/C][C]169362.47826087[/C][C]-69896.4782608696[/C][/ROW]
[ROW][C]115[/C][C]92661[/C][C]101726.181818182[/C][C]-9065.18181818182[/C][/ROW]
[ROW][C]116[/C][C]133328[/C][C]121861.375[/C][C]11466.625[/C][/ROW]
[ROW][C]117[/C][C]61361[/C][C]101726.181818182[/C][C]-40365.1818181818[/C][/ROW]
[ROW][C]118[/C][C]125930[/C][C]142111.176470588[/C][C]-16181.1764705882[/C][/ROW]
[ROW][C]119[/C][C]100750[/C][C]141174.944444444[/C][C]-40424.9444444444[/C][/ROW]
[ROW][C]120[/C][C]224549[/C][C]169362.47826087[/C][C]55186.5217391304[/C][/ROW]
[ROW][C]121[/C][C]82316[/C][C]82336.8979591837[/C][C]-20.8979591836687[/C][/ROW]
[ROW][C]122[/C][C]102010[/C][C]82336.8979591837[/C][C]19673.1020408163[/C][/ROW]
[ROW][C]123[/C][C]101523[/C][C]121861.375[/C][C]-20338.375[/C][/ROW]
[ROW][C]124[/C][C]243511[/C][C]199401.954545455[/C][C]44109.0454545454[/C][/ROW]
[ROW][C]125[/C][C]22938[/C][C]19387.4[/C][C]3550.6[/C][/ROW]
[ROW][C]126[/C][C]41566[/C][C]36085.7857142857[/C][C]5480.21428571428[/C][/ROW]
[ROW][C]127[/C][C]152474[/C][C]142111.176470588[/C][C]10362.8235294118[/C][/ROW]
[ROW][C]128[/C][C]61857[/C][C]67720[/C][C]-5863[/C][/ROW]
[ROW][C]129[/C][C]99923[/C][C]142111.176470588[/C][C]-42188.1764705882[/C][/ROW]
[ROW][C]130[/C][C]132487[/C][C]141174.944444444[/C][C]-8687.94444444444[/C][/ROW]
[ROW][C]131[/C][C]317394[/C][C]320569.294117647[/C][C]-3175.29411764705[/C][/ROW]
[ROW][C]132[/C][C]21054[/C][C]19387.4[/C][C]1666.6[/C][/ROW]
[ROW][C]133[/C][C]209641[/C][C]199401.954545455[/C][C]10239.0454545454[/C][/ROW]
[ROW][C]134[/C][C]22648[/C][C]36085.7857142857[/C][C]-13437.7857142857[/C][/ROW]
[ROW][C]135[/C][C]31414[/C][C]36085.7857142857[/C][C]-4671.78571428572[/C][/ROW]
[ROW][C]136[/C][C]46698[/C][C]49946.2777777778[/C][C]-3248.27777777778[/C][/ROW]
[ROW][C]137[/C][C]131698[/C][C]121861.375[/C][C]9836.625[/C][/ROW]
[ROW][C]138[/C][C]91735[/C][C]82336.8979591837[/C][C]9398.10204081633[/C][/ROW]
[ROW][C]139[/C][C]244749[/C][C]320569.294117647[/C][C]-75820.294117647[/C][/ROW]
[ROW][C]140[/C][C]184510[/C][C]141174.944444444[/C][C]43335.0555555556[/C][/ROW]
[ROW][C]141[/C][C]79863[/C][C]82336.8979591837[/C][C]-2473.89795918367[/C][/ROW]
[ROW][C]142[/C][C]128423[/C][C]82336.8979591837[/C][C]46086.1020408163[/C][/ROW]
[ROW][C]143[/C][C]97839[/C][C]101660.5[/C][C]-3821.5[/C][/ROW]
[ROW][C]144[/C][C]38214[/C][C]36085.7857142857[/C][C]2128.21428571428[/C][/ROW]
[ROW][C]145[/C][C]151101[/C][C]141174.944444444[/C][C]9926.05555555556[/C][/ROW]
[ROW][C]146[/C][C]272458[/C][C]236040.368421053[/C][C]36417.6315789474[/C][/ROW]
[ROW][C]147[/C][C]172494[/C][C]169362.47826087[/C][C]3131.52173913043[/C][/ROW]
[ROW][C]148[/C][C]108043[/C][C]121861.375[/C][C]-13818.375[/C][/ROW]
[ROW][C]149[/C][C]328107[/C][C]320569.294117647[/C][C]7537.70588235295[/C][/ROW]
[ROW][C]150[/C][C]250579[/C][C]236040.368421053[/C][C]14538.6315789474[/C][/ROW]
[ROW][C]151[/C][C]351067[/C][C]320569.294117647[/C][C]30497.705882353[/C][/ROW]
[ROW][C]152[/C][C]158015[/C][C]169362.47826087[/C][C]-11347.4782608696[/C][/ROW]
[ROW][C]153[/C][C]98866[/C][C]82336.8979591837[/C][C]16529.1020408163[/C][/ROW]
[ROW][C]154[/C][C]85439[/C][C]101660.5[/C][C]-16221.5[/C][/ROW]
[ROW][C]155[/C][C]229242[/C][C]233288.25[/C][C]-4046.25[/C][/ROW]
[ROW][C]156[/C][C]351619[/C][C]320569.294117647[/C][C]31049.705882353[/C][/ROW]
[ROW][C]157[/C][C]84207[/C][C]82336.8979591837[/C][C]1870.10204081633[/C][/ROW]
[ROW][C]158[/C][C]120445[/C][C]121861.375[/C][C]-1416.375[/C][/ROW]
[ROW][C]159[/C][C]324598[/C][C]320569.294117647[/C][C]4028.70588235295[/C][/ROW]
[ROW][C]160[/C][C]131069[/C][C]142111.176470588[/C][C]-11042.1764705882[/C][/ROW]
[ROW][C]161[/C][C]204271[/C][C]169362.47826087[/C][C]34908.5217391304[/C][/ROW]
[ROW][C]162[/C][C]165543[/C][C]199401.954545455[/C][C]-33858.9545454546[/C][/ROW]
[ROW][C]163[/C][C]141722[/C][C]141174.944444444[/C][C]547.055555555562[/C][/ROW]
[ROW][C]164[/C][C]116048[/C][C]101660.5[/C][C]14387.5[/C][/ROW]
[ROW][C]165[/C][C]250047[/C][C]199401.954545455[/C][C]50645.0454545454[/C][/ROW]
[ROW][C]166[/C][C]299775[/C][C]233288.25[/C][C]66486.75[/C][/ROW]
[ROW][C]167[/C][C]195838[/C][C]199401.954545455[/C][C]-3563.95454545456[/C][/ROW]
[ROW][C]168[/C][C]173260[/C][C]142111.176470588[/C][C]31148.8235294118[/C][/ROW]
[ROW][C]169[/C][C]254488[/C][C]236040.368421053[/C][C]18447.6315789474[/C][/ROW]
[ROW][C]170[/C][C]104389[/C][C]141174.944444444[/C][C]-36785.9444444444[/C][/ROW]
[ROW][C]171[/C][C]136084[/C][C]142111.176470588[/C][C]-6027.17647058822[/C][/ROW]
[ROW][C]172[/C][C]199476[/C][C]236040.368421053[/C][C]-36564.3684210526[/C][/ROW]
[ROW][C]173[/C][C]92499[/C][C]82336.8979591837[/C][C]10162.1020408163[/C][/ROW]
[ROW][C]174[/C][C]224330[/C][C]236040.368421053[/C][C]-11710.3684210526[/C][/ROW]
[ROW][C]175[/C][C]135781[/C][C]121861.375[/C][C]13919.625[/C][/ROW]
[ROW][C]176[/C][C]74408[/C][C]82336.8979591837[/C][C]-7928.89795918367[/C][/ROW]
[ROW][C]177[/C][C]81240[/C][C]101726.181818182[/C][C]-20486.1818181818[/C][/ROW]
[ROW][C]178[/C][C]14688[/C][C]19387.4[/C][C]-4699.4[/C][/ROW]
[ROW][C]179[/C][C]181633[/C][C]199401.954545455[/C][C]-17768.9545454546[/C][/ROW]
[ROW][C]180[/C][C]271856[/C][C]263935.428571429[/C][C]7920.57142857142[/C][/ROW]
[ROW][C]181[/C][C]7199[/C][C]19387.4[/C][C]-12188.4[/C][/ROW]
[ROW][C]182[/C][C]46660[/C][C]49946.2777777778[/C][C]-3286.27777777778[/C][/ROW]
[ROW][C]183[/C][C]17547[/C][C]19387.4[/C][C]-1840.4[/C][/ROW]
[ROW][C]184[/C][C]133368[/C][C]121861.375[/C][C]11506.625[/C][/ROW]
[ROW][C]185[/C][C]95227[/C][C]82336.8979591837[/C][C]12890.1020408163[/C][/ROW]
[ROW][C]186[/C][C]152601[/C][C]141174.944444444[/C][C]11426.0555555556[/C][/ROW]
[ROW][C]187[/C][C]98146[/C][C]101726.181818182[/C][C]-3580.18181818182[/C][/ROW]
[ROW][C]188[/C][C]79619[/C][C]82336.8979591837[/C][C]-2717.89795918367[/C][/ROW]
[ROW][C]189[/C][C]59194[/C][C]82336.8979591837[/C][C]-23142.8979591837[/C][/ROW]
[ROW][C]190[/C][C]139942[/C][C]169362.47826087[/C][C]-29420.4782608696[/C][/ROW]
[ROW][C]191[/C][C]118612[/C][C]101726.181818182[/C][C]16885.8181818182[/C][/ROW]
[ROW][C]192[/C][C]72880[/C][C]82336.8979591837[/C][C]-9456.89795918367[/C][/ROW]
[ROW][C]193[/C][C]65475[/C][C]67720[/C][C]-2245[/C][/ROW]
[ROW][C]194[/C][C]99643[/C][C]101726.181818182[/C][C]-2083.18181818182[/C][/ROW]
[ROW][C]195[/C][C]71965[/C][C]67720[/C][C]4245[/C][/ROW]
[ROW][C]196[/C][C]77272[/C][C]67720[/C][C]9552[/C][/ROW]
[ROW][C]197[/C][C]49289[/C][C]49946.2777777778[/C][C]-657.277777777781[/C][/ROW]
[ROW][C]198[/C][C]135131[/C][C]101726.181818182[/C][C]33404.8181818182[/C][/ROW]
[ROW][C]199[/C][C]108446[/C][C]121861.375[/C][C]-13415.375[/C][/ROW]
[ROW][C]200[/C][C]89746[/C][C]142111.176470588[/C][C]-52365.1764705882[/C][/ROW]
[ROW][C]201[/C][C]44296[/C][C]36085.7857142857[/C][C]8210.21428571428[/C][/ROW]
[ROW][C]202[/C][C]77648[/C][C]82336.8979591837[/C][C]-4688.89795918367[/C][/ROW]
[ROW][C]203[/C][C]181528[/C][C]142111.176470588[/C][C]39416.8235294118[/C][/ROW]
[ROW][C]204[/C][C]134019[/C][C]121861.375[/C][C]12157.625[/C][/ROW]
[ROW][C]205[/C][C]124064[/C][C]121861.375[/C][C]2202.625[/C][/ROW]
[ROW][C]206[/C][C]92630[/C][C]82336.8979591837[/C][C]10293.1020408163[/C][/ROW]
[ROW][C]207[/C][C]121848[/C][C]82336.8979591837[/C][C]39511.1020408163[/C][/ROW]
[ROW][C]208[/C][C]52915[/C][C]49946.2777777778[/C][C]2968.72222222222[/C][/ROW]
[ROW][C]209[/C][C]81872[/C][C]101660.5[/C][C]-19788.5[/C][/ROW]
[ROW][C]210[/C][C]58981[/C][C]82336.8979591837[/C][C]-23355.8979591837[/C][/ROW]
[ROW][C]211[/C][C]53515[/C][C]49946.2777777778[/C][C]3568.72222222222[/C][/ROW]
[ROW][C]212[/C][C]60812[/C][C]82336.8979591837[/C][C]-21524.8979591837[/C][/ROW]
[ROW][C]213[/C][C]56375[/C][C]67720[/C][C]-11345[/C][/ROW]
[ROW][C]214[/C][C]65490[/C][C]67720[/C][C]-2230[/C][/ROW]
[ROW][C]215[/C][C]80949[/C][C]67720[/C][C]13229[/C][/ROW]
[ROW][C]216[/C][C]76302[/C][C]82336.8979591837[/C][C]-6034.89795918367[/C][/ROW]
[ROW][C]217[/C][C]104011[/C][C]169362.47826087[/C][C]-65351.4782608696[/C][/ROW]
[ROW][C]218[/C][C]98104[/C][C]142111.176470588[/C][C]-44007.1764705882[/C][/ROW]
[ROW][C]219[/C][C]67989[/C][C]67720[/C][C]269[/C][/ROW]
[ROW][C]220[/C][C]30989[/C][C]19387.4[/C][C]11601.6[/C][/ROW]
[ROW][C]221[/C][C]135458[/C][C]142111.176470588[/C][C]-6653.17647058822[/C][/ROW]
[ROW][C]222[/C][C]73504[/C][C]67720[/C][C]5784[/C][/ROW]
[ROW][C]223[/C][C]63123[/C][C]82336.8979591837[/C][C]-19213.8979591837[/C][/ROW]
[ROW][C]224[/C][C]61254[/C][C]82336.8979591837[/C][C]-21082.8979591837[/C][/ROW]
[ROW][C]225[/C][C]74914[/C][C]82336.8979591837[/C][C]-7422.89795918367[/C][/ROW]
[ROW][C]226[/C][C]31774[/C][C]36085.7857142857[/C][C]-4311.78571428572[/C][/ROW]
[ROW][C]227[/C][C]81437[/C][C]82336.8979591837[/C][C]-899.897959183669[/C][/ROW]
[ROW][C]228[/C][C]87186[/C][C]121861.375[/C][C]-34675.375[/C][/ROW]
[ROW][C]229[/C][C]50090[/C][C]49946.2777777778[/C][C]143.722222222219[/C][/ROW]
[ROW][C]230[/C][C]65745[/C][C]82336.8979591837[/C][C]-16591.8979591837[/C][/ROW]
[ROW][C]231[/C][C]56653[/C][C]49946.2777777778[/C][C]6706.72222222222[/C][/ROW]
[ROW][C]232[/C][C]158399[/C][C]101726.181818182[/C][C]56672.8181818182[/C][/ROW]
[ROW][C]233[/C][C]46455[/C][C]67720[/C][C]-21265[/C][/ROW]
[ROW][C]234[/C][C]73624[/C][C]82336.8979591837[/C][C]-8712.89795918367[/C][/ROW]
[ROW][C]235[/C][C]38395[/C][C]36085.7857142857[/C][C]2309.21428571428[/C][/ROW]
[ROW][C]236[/C][C]91899[/C][C]82336.8979591837[/C][C]9562.10204081633[/C][/ROW]
[ROW][C]237[/C][C]139526[/C][C]121861.375[/C][C]17664.625[/C][/ROW]
[ROW][C]238[/C][C]52164[/C][C]49946.2777777778[/C][C]2217.72222222222[/C][/ROW]
[ROW][C]239[/C][C]51567[/C][C]49946.2777777778[/C][C]1620.72222222222[/C][/ROW]
[ROW][C]240[/C][C]70551[/C][C]82336.8979591837[/C][C]-11785.8979591837[/C][/ROW]
[ROW][C]241[/C][C]84856[/C][C]82336.8979591837[/C][C]2519.10204081633[/C][/ROW]
[ROW][C]242[/C][C]102538[/C][C]121861.375[/C][C]-19323.375[/C][/ROW]
[ROW][C]243[/C][C]86678[/C][C]67720[/C][C]18958[/C][/ROW]
[ROW][C]244[/C][C]85709[/C][C]82336.8979591837[/C][C]3372.10204081633[/C][/ROW]
[ROW][C]245[/C][C]34662[/C][C]49946.2777777778[/C][C]-15284.2777777778[/C][/ROW]
[ROW][C]246[/C][C]150580[/C][C]121861.375[/C][C]28718.625[/C][/ROW]
[ROW][C]247[/C][C]99611[/C][C]101660.5[/C][C]-2049.5[/C][/ROW]
[ROW][C]248[/C][C]19349[/C][C]19387.4[/C][C]-38.4000000000015[/C][/ROW]
[ROW][C]249[/C][C]99373[/C][C]82336.8979591837[/C][C]17036.1020408163[/C][/ROW]
[ROW][C]250[/C][C]86230[/C][C]101726.181818182[/C][C]-15496.1818181818[/C][/ROW]
[ROW][C]251[/C][C]30837[/C][C]36085.7857142857[/C][C]-5248.78571428572[/C][/ROW]
[ROW][C]252[/C][C]31706[/C][C]49946.2777777778[/C][C]-18240.2777777778[/C][/ROW]
[ROW][C]253[/C][C]89806[/C][C]82336.8979591837[/C][C]7469.10204081633[/C][/ROW]
[ROW][C]254[/C][C]62088[/C][C]49946.2777777778[/C][C]12141.7222222222[/C][/ROW]
[ROW][C]255[/C][C]40151[/C][C]49946.2777777778[/C][C]-9795.27777777778[/C][/ROW]
[ROW][C]256[/C][C]27634[/C][C]36085.7857142857[/C][C]-8451.78571428572[/C][/ROW]
[ROW][C]257[/C][C]76990[/C][C]82336.8979591837[/C][C]-5346.89795918367[/C][/ROW]
[ROW][C]258[/C][C]37460[/C][C]36085.7857142857[/C][C]1374.21428571428[/C][/ROW]
[ROW][C]259[/C][C]54157[/C][C]49946.2777777778[/C][C]4210.72222222222[/C][/ROW]
[ROW][C]260[/C][C]49862[/C][C]49946.2777777778[/C][C]-84.277777777781[/C][/ROW]
[ROW][C]261[/C][C]84337[/C][C]82336.8979591837[/C][C]2000.10204081633[/C][/ROW]
[ROW][C]262[/C][C]64175[/C][C]82336.8979591837[/C][C]-18161.8979591837[/C][/ROW]
[ROW][C]263[/C][C]59382[/C][C]49946.2777777778[/C][C]9435.72222222222[/C][/ROW]
[ROW][C]264[/C][C]119308[/C][C]101660.5[/C][C]17647.5[/C][/ROW]
[ROW][C]265[/C][C]76702[/C][C]82336.8979591837[/C][C]-5634.89795918367[/C][/ROW]
[ROW][C]266[/C][C]103425[/C][C]82336.8979591837[/C][C]21088.1020408163[/C][/ROW]
[ROW][C]267[/C][C]70344[/C][C]67720[/C][C]2624[/C][/ROW]
[ROW][C]268[/C][C]43410[/C][C]36085.7857142857[/C][C]7324.21428571428[/C][/ROW]
[ROW][C]269[/C][C]104838[/C][C]82336.8979591837[/C][C]22501.1020408163[/C][/ROW]
[ROW][C]270[/C][C]62215[/C][C]67720[/C][C]-5505[/C][/ROW]
[ROW][C]271[/C][C]69304[/C][C]82336.8979591837[/C][C]-13032.8979591837[/C][/ROW]
[ROW][C]272[/C][C]53117[/C][C]36085.7857142857[/C][C]17031.2142857143[/C][/ROW]
[ROW][C]273[/C][C]19764[/C][C]19387.4[/C][C]376.599999999999[/C][/ROW]
[ROW][C]274[/C][C]86680[/C][C]82336.8979591837[/C][C]4343.10204081633[/C][/ROW]
[ROW][C]275[/C][C]84105[/C][C]67720[/C][C]16385[/C][/ROW]
[ROW][C]276[/C][C]77945[/C][C]82336.8979591837[/C][C]-4391.89795918367[/C][/ROW]
[ROW][C]277[/C][C]89113[/C][C]82336.8979591837[/C][C]6776.10204081633[/C][/ROW]
[ROW][C]278[/C][C]91005[/C][C]101726.181818182[/C][C]-10721.1818181818[/C][/ROW]
[ROW][C]279[/C][C]40248[/C][C]36085.7857142857[/C][C]4162.21428571428[/C][/ROW]
[ROW][C]280[/C][C]64187[/C][C]49946.2777777778[/C][C]14240.7222222222[/C][/ROW]
[ROW][C]281[/C][C]50857[/C][C]82336.8979591837[/C][C]-31479.8979591837[/C][/ROW]
[ROW][C]282[/C][C]56613[/C][C]82336.8979591837[/C][C]-25723.8979591837[/C][/ROW]
[ROW][C]283[/C][C]62792[/C][C]67720[/C][C]-4928[/C][/ROW]
[ROW][C]284[/C][C]72535[/C][C]82336.8979591837[/C][C]-9801.89795918367[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197076&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197076&T=2

As an alternative you can also use a QR Code:  

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

Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
15274667720-14974
2385534320569.29411764764964.705882353
33317019387.413782.6
410164582336.897959183719308.1020408163
5149061199401.954545455-50340.9545454546
6165446169362.47826087-3916.47826086957
7237213236040.3684210531172.63157894736
8173326141174.94444444432151.0555555556
9133131141174.944444444-8043.94444444444
10258873233288.2525584.75
11180083169362.4782608710720.5217391304
12324799320569.2941176474229.70588235295
13230964236040.368421053-5076.36842105264
14236785233288.253496.75
15135473169362.47826087-33889.4782608696
16202925199401.9545454553523.04545454544
17215147236040.368421053-20893.3684210526
18344297320569.29411764723727.705882353
19153935169362.47826087-15427.4782608696
20132943141174.944444444-8231.94444444444
21174724233288.25-58564.25
22174415199401.954545455-24986.9545454546
23225548263935.428571429-38387.4285714286
24223632169362.4782608754269.5217391304
25124817141174.944444444-16357.9444444444
26221698236040.368421053-14342.3684210526
27210767236040.368421053-25273.3684210526
28170266169362.47826087903.521739130432
29260561236040.36842105324520.6315789474
308485382336.89795918372516.10204081633
31294424320569.294117647-26145.294117647
32101011101660.5-649.5
33215641199401.95454545516239.0454545454
34325107320569.2941176474537.70588235295
35717619387.4-12211.4
36167542169362.47826087-1820.47826086957
37106408101660.54747.5
3896560101726.181818182-5166.18181818182
39265769263935.4285714291833.57142857142
40269651320569.294117647-50918.294117647
41149112141174.9444444447937.05555555556
42175824233288.25-57464.25
43152871169362.47826087-16491.4782608696
44111665101660.510004.5
45116408142111.176470588-25703.1764705882
46362301233288.25129012.75
4778800101660.5-22860.5
48183167199401.954545455-16234.9545454546
49277965320569.294117647-42604.294117647
50150629199401.954545455-48772.9545454546
51168809169362.47826087-553.478260869568
522418836085.7857142857-11897.7857142857
53329267263935.42857142965331.5714285714
546502967720-2691
55101097101660.5-563.5
56218946233288.25-14342.25
57244052236040.3684210538011.63157894736
58341570320569.29411764721000.705882353
5910359782336.897959183721260.1020408163
60233328263935.428571429-30607.4285714286
61256462263935.428571429-7473.42857142858
62206161142111.17647058864049.8235294118
63311473320569.294117647-9096.29411764705
64235800236040.368421053-240.368421052641
65177939142111.17647058835827.8235294118
66207176199401.9545454557774.04545454544
67196553169362.4782608727190.5217391304
68174184169362.478260874821.52173913043
69143246141174.9444444442071.05555555556
70187559233288.25-45729.25
71187681199401.954545455-11720.9545454546
72119016121861.375-2845.375
73182192199401.954545455-17209.9545454546
747356682336.8979591837-8770.89795918367
75194979199401.954545455-4422.95454545456
76167488142111.17647058825376.8235294118
77143756141174.9444444442581.05555555556
78275541199401.95454545576139.0454545454
79243199236040.3684210537158.63157894736
80182999169362.4782608713636.5217391304
81135649141174.944444444-5525.94444444444
82152299141174.94444444411124.0555555556
83120221121861.375-1640.375
84346485320569.29411764725915.705882353
85145790142111.1764705883678.82352941178
86193339169362.4782608723976.5217391304
8780953101660.5-20707.5
88122774142111.176470588-19337.1764705882
89130585101660.528924.5
90112611101660.510950.5
91286468233288.2553179.75
92241066236040.3684210535025.63157894736
93148446233288.25-84842.25
94204713199401.9545454555311.04545454544
95182079169362.4782608712716.5217391304
96140344141174.944444444-830.944444444438
97220516233288.25-12772.25
98243060236040.3684210537019.63157894736
99162765169362.47826087-6597.47826086957
100182613169362.4782608713250.5217391304
101232138236040.368421053-3902.36842105264
102265318263935.4285714291382.57142857142
1038557482336.89795918373237.10204081633
104310839320569.294117647-9730.29411764705
105225060199401.95454545525658.0454545454
106232317236040.368421053-3723.36842105264
107144966141174.9444444443791.05555555556
1084328749946.2777777778-6659.27777777778
109155754142111.17647058813642.8235294118
110164709199401.954545455-34692.9545454546
111201940199401.9545454552538.04545454544
112235454236040.368421053-586.368421052641
113220801199401.95454545521399.0454545454
11499466169362.47826087-69896.4782608696
11592661101726.181818182-9065.18181818182
116133328121861.37511466.625
11761361101726.181818182-40365.1818181818
118125930142111.176470588-16181.1764705882
119100750141174.944444444-40424.9444444444
120224549169362.4782608755186.5217391304
1218231682336.8979591837-20.8979591836687
12210201082336.897959183719673.1020408163
123101523121861.375-20338.375
124243511199401.95454545544109.0454545454
1252293819387.43550.6
1264156636085.78571428575480.21428571428
127152474142111.17647058810362.8235294118
1286185767720-5863
12999923142111.176470588-42188.1764705882
130132487141174.944444444-8687.94444444444
131317394320569.294117647-3175.29411764705
1322105419387.41666.6
133209641199401.95454545510239.0454545454
1342264836085.7857142857-13437.7857142857
1353141436085.7857142857-4671.78571428572
1364669849946.2777777778-3248.27777777778
137131698121861.3759836.625
1389173582336.89795918379398.10204081633
139244749320569.294117647-75820.294117647
140184510141174.94444444443335.0555555556
1417986382336.8979591837-2473.89795918367
14212842382336.897959183746086.1020408163
14397839101660.5-3821.5
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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')
}