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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 computationMon, 10 Dec 2012 09:57:39 -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/10/t1355151500isziqnd9ryo12ps.htm/, Retrieved Fri, 29 Mar 2024 08:12:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=198174, Retrieved Fri, 29 Mar 2024 08:12:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 18:59:57] [b98453cac15ba1066b407e146608df68]
- R PD  [Recursive Partitioning (Regression Trees)] [] [2012-12-10 14:17:11] [5fadebd2b4986084220c779a1c91b281]
-    D      [Recursive Partitioning (Regression Trees)] [] [2012-12-10 14:57:39] [adc16c0a0ff821bb11848bb68604cf2f] [Current]
-             [Recursive Partitioning (Regression Trees)] [PR] [2012-12-14 18:32:09] [0ee39c4db763367d76b81eeea0021391]
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Dataseries X:
1418	210907	56	396	81	3	79	30	115	94	112285	24188	146283	144	145
869	120982	56	297	55	4	58	28	109	103	84786	18273	98364	103	101
1530	176508	54	559	50	12	60	38	146	93	83123	14130	86146	98	98
2172	179321	89	967	125	2	108	30	116	103	101193	32287	96933	135	132
901	123185	40	270	40	1	49	22	68	51	38361	8654	79234	61	60
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'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=198174&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=198174&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198174&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'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Goodness of Fit
Correlation0.9567
R-squared0.9153
RMSE23918.7772

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.9567 \tabularnewline
R-squared & 0.9153 \tabularnewline
RMSE & 23918.7772 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198174&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.9567[/C][/ROW]
[ROW][C]R-squared[/C][C]0.9153[/C][/ROW]
[ROW][C]RMSE[/C][C]23918.7772[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198174&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198174&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
Correlation0.9567
R-squared0.9153
RMSE23918.7772







Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
1210907162554.148352.9
2120982162554.1-41572.1
3176508162554.113953.9
4179321201692.291666667-22371.2916666667
5123185162554.1-39369.1
65274651240.41505.6
7385534322592.29411764762941.705882353
83317018098.333333333315071.6666666667
910164596095.31578947375549.68421052632
10149061162554.1-13493.1
11165446162554.12891.89999999999
12237213234333.2857142862879.71428571429
13173326127902.8437545423.15625
14133131127902.843755228.15625
15258873201692.29166666757180.7083333333
16180083162554.117528.9
17324799322592.2941176472206.70588235295
18230964234333.285714286-3369.28571428571
19236785234333.2857142862451.71428571429
20135473162554.1-27081.1
21202925201692.2916666671232.70833333334
22215147234333.285714286-19186.2857142857
23344297253151.46666666791145.5333333333
24153935162554.1-8619.10000000001
25132943162554.1-29611.1
26174724253151.466666667-78427.4666666667
27174415201692.291666667-27277.2916666667
28225548253151.466666667-27603.4666666667
29223632234333.285714286-10701.2857142857
30124817127902.84375-3085.84375
31221698234333.285714286-12635.2857142857
32210767234333.285714286-23566.2857142857
33170266162554.17711.89999999999
34260561234333.28571428626227.7142857143
358485376272.58823529418580.41176470589
36294424322592.294117647-28168.294117647
3710101195754.85256.2
38215641201692.29166666713948.7083333333
39325107253151.46666666771955.5333333333
40717618098.3333333333-10922.3333333333
41167542162554.14987.89999999999
4210640895754.810653.2
439656096095.3157894737464.68421052632
44265769253151.46666666712617.5333333333
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46149112149311.055555556-199.055555555562
47175824149311.05555555626512.9444444444
48152871162554.1-9683.10000000001
4911166595754.815910.2
50116408201692.291666667-85284.2916666667
51362301322592.29411764739708.705882353
527880095754.8-16954.8
53183167201692.291666667-18525.2916666667
54277965322592.294117647-44627.294117647
55150629201692.291666667-51063.2916666667
56168809162554.16254.89999999999
572418833818.5-9630.5
58329267253151.46666666776115.5333333333
596502976272.5882352941-11243.5882352941
6010109795754.85342.2
61218946253151.466666667-34205.4666666667
62244052234333.2857142869718.71428571429
63341570322592.29411764718977.705882353
6410359795754.87842.2
65233328253151.466666667-19823.4666666667
66256462234333.28571428622128.7142857143
67206161149311.05555555656849.9444444444
68311473322592.294117647-11119.294117647
69235800253151.466666667-17351.4666666667
70177939149311.05555555628627.9444444444
71207176201692.2916666675483.70833333334
72196553162554.133998.9
73174184162554.111629.9
74143246127902.8437515343.15625
75187559253151.466666667-65592.4666666667
76187681201692.291666667-14011.2916666667
77119016127902.84375-8886.84375
78182192201692.291666667-19500.2916666667
797356676272.5882352941-2706.58823529411
80194979201692.291666667-6713.29166666666
81167488162554.14933.89999999999
82143756127902.8437515853.15625
83275541201692.29166666773848.7083333333
84243199234333.2857142868865.71428571429
85182999162554.120444.9
86135649127902.843757746.15625
87152299149311.0555555562987.94444444444
88120221127902.84375-7681.84375
89346485322592.29411764723892.705882353
90145790149311.055555556-3521.05555555556
91193339201692.291666667-8353.29166666666
928095395754.8-14801.8
9312277496095.315789473726678.6842105263
9413058595754.834830.2
9511261195754.816856.2
96286468322592.294117647-36124.294117647
97241066234333.2857142866732.71428571429
98148446149311.055555556-865.055555555562
99204713201692.2916666673020.70833333334
100182079162554.119524.9
101140344127902.8437512441.15625
102220516253151.466666667-32635.4666666667
103243060234333.2857142868726.71428571429
104162765162554.1210.899999999994
105182613162554.120058.9
106232138234333.285714286-2195.28571428571
107265318253151.46666666712166.5333333333
1088557496095.3157894737-10521.3157894737
109310839322592.294117647-11753.294117647
110225060201692.29166666723367.7083333333
111232317234333.285714286-2016.28571428571
112144966127902.8437517063.15625
1134328751240.4-7953.4
114155754149311.0555555566442.94444444444
115164709162554.12154.89999999999
116201940201692.291666667247.708333333343
117235454234333.2857142861120.71428571429
118220801201692.29166666719108.7083333333
11999466162554.1-63088.1
1209266196095.3157894737-3434.31578947368
121133328127902.843755425.15625
1226136196095.3157894737-34734.3157894737
123125930149311.055555556-23381.0555555556
124100750127902.84375-27152.84375
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132152474162554.1-10080.1
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138209641234333.285714286-24692.2857142857
1392264833818.5-11170.5
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142131698127902.843753795.15625
1439173576272.588235294115462.4117647059
144244749253151.466666667-8402.46666666667
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14712842396095.315789473732327.6842105263
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1493821433818.54395.5
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151272458234333.28571428638124.7142857143
152172494162554.19939.89999999999
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156351067322592.29411764728474.705882353
157158015162554.1-4539.10000000001
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1598543995754.8-10315.8
160229242201692.29166666727549.7083333333
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1628420776272.58823529417934.41176470589
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164324598322592.2941176472005.70588235295
165131069149311.055555556-18242.0555555556
166204271162554.141716.9
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168141722127902.8437513819.15625
16911604895754.820293.2
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1986547551240.414234.6
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2007196576272.5882352941-4307.58823529411
2017727258728.722222222218543.2777777778
2024928951240.4-1951.4
203135131127902.843757228.15625
204108446127902.84375-19456.84375
2058974696095.3157894737-6349.31578947368
2064429651240.4-6944.4
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208181528149311.05555555632216.9444444444
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2185637558728.7222222222-2353.72222222222
2196549058728.72222222226761.27777777778
2208094951240.429708.6
2217630295754.8-19452.8
222104011162554.1-58543.1
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2246798995754.8-27765.8
2253098951240.4-20251.4
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2277350476272.5882352941-2768.58823529411
2286312376272.5882352941-13149.5882352941
2296125476272.5882352941-15018.5882352941
2307491496095.3157894737-21181.3157894737
2313177451240.4-19466.4
2328143795754.8-14317.8
23387186127902.84375-40716.84375
2345009058728.7222222222-8638.72222222222
2356574576272.5882352941-10527.5882352941
2365665358728.7222222222-2075.72222222222
237158399127902.8437530496.15625
2384645558728.7222222222-12273.7222222222
2397362476272.5882352941-2648.58823529411
2403839551240.4-12845.4
2419189995754.8-3855.8
242139526127902.8437511623.15625
2435216458728.7222222222-6564.72222222222
2445156751240.4326.599999999999
2457055176272.5882352941-5721.58823529411
2468485695754.8-10898.8
247102538127902.84375-25364.84375
2488667895754.8-9076.8
2498570976272.58823529419436.41176470589
2503466233818.5843.5
251150580149311.0555555561268.94444444444
2529961195754.83856.2
2531934918098.33333333331250.66666666667
2549937396095.31578947373277.68421052632
2558623076272.58823529419957.41176470589
2563083733818.5-2981.5
2573170633818.5-2112.5
2588980676272.588235294113533.4117647059
2596208851240.410847.6
2604015133818.56332.5
2612763433818.5-6184.5
2627699058728.722222222218261.2777777778
2633746033818.53641.5
2645415758728.7222222222-4571.72222222222
2654986251240.4-1378.4
2668433795754.8-11417.8
2676417576272.5882352941-12097.5882352941
2685938258728.7222222222653.277777777781
26911930895754.823553.2
2707670276272.5882352941429.411764705888
27110342596095.31578947377329.68421052632
2727034458728.722222222211615.2777777778
2734341076272.5882352941-32862.5882352941
27410483895754.89083.2
2756221558728.72222222223486.27777777778
2766930476272.5882352941-6968.58823529411
2775311751240.41876.6
2781976418098.33333333331665.66666666667
2798668095754.8-9074.8
2808410576272.58823529417832.41176470589
2817794576272.58823529411672.41176470589
2828911376272.588235294112840.4117647059
2839100576272.588235294114732.4117647059
2844024833818.56429.5
2856418758728.72222222225458.27777777778
2865085758728.7222222222-7871.72222222222
2875661358728.7222222222-2115.72222222222
2886279258728.72222222224063.27777777778
2897253576272.5882352941-3737.58823529411

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 210907 & 162554.1 & 48352.9 \tabularnewline
2 & 120982 & 162554.1 & -41572.1 \tabularnewline
3 & 176508 & 162554.1 & 13953.9 \tabularnewline
4 & 179321 & 201692.291666667 & -22371.2916666667 \tabularnewline
5 & 123185 & 162554.1 & -39369.1 \tabularnewline
6 & 52746 & 51240.4 & 1505.6 \tabularnewline
7 & 385534 & 322592.294117647 & 62941.705882353 \tabularnewline
8 & 33170 & 18098.3333333333 & 15071.6666666667 \tabularnewline
9 & 101645 & 96095.3157894737 & 5549.68421052632 \tabularnewline
10 & 149061 & 162554.1 & -13493.1 \tabularnewline
11 & 165446 & 162554.1 & 2891.89999999999 \tabularnewline
12 & 237213 & 234333.285714286 & 2879.71428571429 \tabularnewline
13 & 173326 & 127902.84375 & 45423.15625 \tabularnewline
14 & 133131 & 127902.84375 & 5228.15625 \tabularnewline
15 & 258873 & 201692.291666667 & 57180.7083333333 \tabularnewline
16 & 180083 & 162554.1 & 17528.9 \tabularnewline
17 & 324799 & 322592.294117647 & 2206.70588235295 \tabularnewline
18 & 230964 & 234333.285714286 & -3369.28571428571 \tabularnewline
19 & 236785 & 234333.285714286 & 2451.71428571429 \tabularnewline
20 & 135473 & 162554.1 & -27081.1 \tabularnewline
21 & 202925 & 201692.291666667 & 1232.70833333334 \tabularnewline
22 & 215147 & 234333.285714286 & -19186.2857142857 \tabularnewline
23 & 344297 & 253151.466666667 & 91145.5333333333 \tabularnewline
24 & 153935 & 162554.1 & -8619.10000000001 \tabularnewline
25 & 132943 & 162554.1 & -29611.1 \tabularnewline
26 & 174724 & 253151.466666667 & -78427.4666666667 \tabularnewline
27 & 174415 & 201692.291666667 & -27277.2916666667 \tabularnewline
28 & 225548 & 253151.466666667 & -27603.4666666667 \tabularnewline
29 & 223632 & 234333.285714286 & -10701.2857142857 \tabularnewline
30 & 124817 & 127902.84375 & -3085.84375 \tabularnewline
31 & 221698 & 234333.285714286 & -12635.2857142857 \tabularnewline
32 & 210767 & 234333.285714286 & -23566.2857142857 \tabularnewline
33 & 170266 & 162554.1 & 7711.89999999999 \tabularnewline
34 & 260561 & 234333.285714286 & 26227.7142857143 \tabularnewline
35 & 84853 & 76272.5882352941 & 8580.41176470589 \tabularnewline
36 & 294424 & 322592.294117647 & -28168.294117647 \tabularnewline
37 & 101011 & 95754.8 & 5256.2 \tabularnewline
38 & 215641 & 201692.291666667 & 13948.7083333333 \tabularnewline
39 & 325107 & 253151.466666667 & 71955.5333333333 \tabularnewline
40 & 7176 & 18098.3333333333 & -10922.3333333333 \tabularnewline
41 & 167542 & 162554.1 & 4987.89999999999 \tabularnewline
42 & 106408 & 95754.8 & 10653.2 \tabularnewline
43 & 96560 & 96095.3157894737 & 464.68421052632 \tabularnewline
44 & 265769 & 253151.466666667 & 12617.5333333333 \tabularnewline
45 & 269651 & 322592.294117647 & -52941.294117647 \tabularnewline
46 & 149112 & 149311.055555556 & -199.055555555562 \tabularnewline
47 & 175824 & 149311.055555556 & 26512.9444444444 \tabularnewline
48 & 152871 & 162554.1 & -9683.10000000001 \tabularnewline
49 & 111665 & 95754.8 & 15910.2 \tabularnewline
50 & 116408 & 201692.291666667 & -85284.2916666667 \tabularnewline
51 & 362301 & 322592.294117647 & 39708.705882353 \tabularnewline
52 & 78800 & 95754.8 & -16954.8 \tabularnewline
53 & 183167 & 201692.291666667 & -18525.2916666667 \tabularnewline
54 & 277965 & 322592.294117647 & -44627.294117647 \tabularnewline
55 & 150629 & 201692.291666667 & -51063.2916666667 \tabularnewline
56 & 168809 & 162554.1 & 6254.89999999999 \tabularnewline
57 & 24188 & 33818.5 & -9630.5 \tabularnewline
58 & 329267 & 253151.466666667 & 76115.5333333333 \tabularnewline
59 & 65029 & 76272.5882352941 & -11243.5882352941 \tabularnewline
60 & 101097 & 95754.8 & 5342.2 \tabularnewline
61 & 218946 & 253151.466666667 & -34205.4666666667 \tabularnewline
62 & 244052 & 234333.285714286 & 9718.71428571429 \tabularnewline
63 & 341570 & 322592.294117647 & 18977.705882353 \tabularnewline
64 & 103597 & 95754.8 & 7842.2 \tabularnewline
65 & 233328 & 253151.466666667 & -19823.4666666667 \tabularnewline
66 & 256462 & 234333.285714286 & 22128.7142857143 \tabularnewline
67 & 206161 & 149311.055555556 & 56849.9444444444 \tabularnewline
68 & 311473 & 322592.294117647 & -11119.294117647 \tabularnewline
69 & 235800 & 253151.466666667 & -17351.4666666667 \tabularnewline
70 & 177939 & 149311.055555556 & 28627.9444444444 \tabularnewline
71 & 207176 & 201692.291666667 & 5483.70833333334 \tabularnewline
72 & 196553 & 162554.1 & 33998.9 \tabularnewline
73 & 174184 & 162554.1 & 11629.9 \tabularnewline
74 & 143246 & 127902.84375 & 15343.15625 \tabularnewline
75 & 187559 & 253151.466666667 & -65592.4666666667 \tabularnewline
76 & 187681 & 201692.291666667 & -14011.2916666667 \tabularnewline
77 & 119016 & 127902.84375 & -8886.84375 \tabularnewline
78 & 182192 & 201692.291666667 & -19500.2916666667 \tabularnewline
79 & 73566 & 76272.5882352941 & -2706.58823529411 \tabularnewline
80 & 194979 & 201692.291666667 & -6713.29166666666 \tabularnewline
81 & 167488 & 162554.1 & 4933.89999999999 \tabularnewline
82 & 143756 & 127902.84375 & 15853.15625 \tabularnewline
83 & 275541 & 201692.291666667 & 73848.7083333333 \tabularnewline
84 & 243199 & 234333.285714286 & 8865.71428571429 \tabularnewline
85 & 182999 & 162554.1 & 20444.9 \tabularnewline
86 & 135649 & 127902.84375 & 7746.15625 \tabularnewline
87 & 152299 & 149311.055555556 & 2987.94444444444 \tabularnewline
88 & 120221 & 127902.84375 & -7681.84375 \tabularnewline
89 & 346485 & 322592.294117647 & 23892.705882353 \tabularnewline
90 & 145790 & 149311.055555556 & -3521.05555555556 \tabularnewline
91 & 193339 & 201692.291666667 & -8353.29166666666 \tabularnewline
92 & 80953 & 95754.8 & -14801.8 \tabularnewline
93 & 122774 & 96095.3157894737 & 26678.6842105263 \tabularnewline
94 & 130585 & 95754.8 & 34830.2 \tabularnewline
95 & 112611 & 95754.8 & 16856.2 \tabularnewline
96 & 286468 & 322592.294117647 & -36124.294117647 \tabularnewline
97 & 241066 & 234333.285714286 & 6732.71428571429 \tabularnewline
98 & 148446 & 149311.055555556 & -865.055555555562 \tabularnewline
99 & 204713 & 201692.291666667 & 3020.70833333334 \tabularnewline
100 & 182079 & 162554.1 & 19524.9 \tabularnewline
101 & 140344 & 127902.84375 & 12441.15625 \tabularnewline
102 & 220516 & 253151.466666667 & -32635.4666666667 \tabularnewline
103 & 243060 & 234333.285714286 & 8726.71428571429 \tabularnewline
104 & 162765 & 162554.1 & 210.899999999994 \tabularnewline
105 & 182613 & 162554.1 & 20058.9 \tabularnewline
106 & 232138 & 234333.285714286 & -2195.28571428571 \tabularnewline
107 & 265318 & 253151.466666667 & 12166.5333333333 \tabularnewline
108 & 85574 & 96095.3157894737 & -10521.3157894737 \tabularnewline
109 & 310839 & 322592.294117647 & -11753.294117647 \tabularnewline
110 & 225060 & 201692.291666667 & 23367.7083333333 \tabularnewline
111 & 232317 & 234333.285714286 & -2016.28571428571 \tabularnewline
112 & 144966 & 127902.84375 & 17063.15625 \tabularnewline
113 & 43287 & 51240.4 & -7953.4 \tabularnewline
114 & 155754 & 149311.055555556 & 6442.94444444444 \tabularnewline
115 & 164709 & 162554.1 & 2154.89999999999 \tabularnewline
116 & 201940 & 201692.291666667 & 247.708333333343 \tabularnewline
117 & 235454 & 234333.285714286 & 1120.71428571429 \tabularnewline
118 & 220801 & 201692.291666667 & 19108.7083333333 \tabularnewline
119 & 99466 & 162554.1 & -63088.1 \tabularnewline
120 & 92661 & 96095.3157894737 & -3434.31578947368 \tabularnewline
121 & 133328 & 127902.84375 & 5425.15625 \tabularnewline
122 & 61361 & 96095.3157894737 & -34734.3157894737 \tabularnewline
123 & 125930 & 149311.055555556 & -23381.0555555556 \tabularnewline
124 & 100750 & 127902.84375 & -27152.84375 \tabularnewline
125 & 224549 & 162554.1 & 61994.9 \tabularnewline
126 & 82316 & 76272.5882352941 & 6043.41176470589 \tabularnewline
127 & 102010 & 95754.8 & 6255.2 \tabularnewline
128 & 101523 & 127902.84375 & -26379.84375 \tabularnewline
129 & 243511 & 201692.291666667 & 41818.7083333333 \tabularnewline
130 & 22938 & 18098.3333333333 & 4839.66666666667 \tabularnewline
131 & 41566 & 58728.7222222222 & -17162.7222222222 \tabularnewline
132 & 152474 & 162554.1 & -10080.1 \tabularnewline
133 & 61857 & 51240.4 & 10616.6 \tabularnewline
134 & 99923 & 96095.3157894737 & 3827.68421052632 \tabularnewline
135 & 132487 & 127902.84375 & 4584.15625 \tabularnewline
136 & 317394 & 322592.294117647 & -5198.29411764705 \tabularnewline
137 & 21054 & 18098.3333333333 & 2955.66666666667 \tabularnewline
138 & 209641 & 234333.285714286 & -24692.2857142857 \tabularnewline
139 & 22648 & 33818.5 & -11170.5 \tabularnewline
140 & 31414 & 33818.5 & -2404.5 \tabularnewline
141 & 46698 & 76272.5882352941 & -29574.5882352941 \tabularnewline
142 & 131698 & 127902.84375 & 3795.15625 \tabularnewline
143 & 91735 & 76272.5882352941 & 15462.4117647059 \tabularnewline
144 & 244749 & 253151.466666667 & -8402.46666666667 \tabularnewline
145 & 184510 & 149311.055555556 & 35198.9444444444 \tabularnewline
146 & 79863 & 96095.3157894737 & -16232.3157894737 \tabularnewline
147 & 128423 & 96095.3157894737 & 32327.6842105263 \tabularnewline
148 & 97839 & 95754.8 & 2084.2 \tabularnewline
149 & 38214 & 33818.5 & 4395.5 \tabularnewline
150 & 151101 & 127902.84375 & 23198.15625 \tabularnewline
151 & 272458 & 234333.285714286 & 38124.7142857143 \tabularnewline
152 & 172494 & 162554.1 & 9939.89999999999 \tabularnewline
153 & 108043 & 127902.84375 & -19859.84375 \tabularnewline
154 & 328107 & 322592.294117647 & 5514.70588235295 \tabularnewline
155 & 250579 & 234333.285714286 & 16245.7142857143 \tabularnewline
156 & 351067 & 322592.294117647 & 28474.705882353 \tabularnewline
157 & 158015 & 162554.1 & -4539.10000000001 \tabularnewline
158 & 98866 & 76272.5882352941 & 22593.4117647059 \tabularnewline
159 & 85439 & 95754.8 & -10315.8 \tabularnewline
160 & 229242 & 201692.291666667 & 27549.7083333333 \tabularnewline
161 & 351619 & 322592.294117647 & 29026.705882353 \tabularnewline
162 & 84207 & 76272.5882352941 & 7934.41176470589 \tabularnewline
163 & 120445 & 127902.84375 & -7457.84375 \tabularnewline
164 & 324598 & 322592.294117647 & 2005.70588235295 \tabularnewline
165 & 131069 & 149311.055555556 & -18242.0555555556 \tabularnewline
166 & 204271 & 162554.1 & 41716.9 \tabularnewline
167 & 165543 & 201692.291666667 & -36149.2916666667 \tabularnewline
168 & 141722 & 127902.84375 & 13819.15625 \tabularnewline
169 & 116048 & 95754.8 & 20293.2 \tabularnewline
170 & 250047 & 201692.291666667 & 48354.7083333333 \tabularnewline
171 & 299775 & 322592.294117647 & -22817.294117647 \tabularnewline
172 & 195838 & 201692.291666667 & -5854.29166666666 \tabularnewline
173 & 173260 & 96095.3157894737 & 77164.6842105263 \tabularnewline
174 & 254488 & 253151.466666667 & 1336.53333333333 \tabularnewline
175 & 104389 & 127902.84375 & -23513.84375 \tabularnewline
176 & 136084 & 149311.055555556 & -13227.0555555556 \tabularnewline
177 & 199476 & 234333.285714286 & -34857.2857142857 \tabularnewline
178 & 92499 & 76272.5882352941 & 16226.4117647059 \tabularnewline
179 & 224330 & 234333.285714286 & -10003.2857142857 \tabularnewline
180 & 135781 & 127902.84375 & 7878.15625 \tabularnewline
181 & 74408 & 96095.3157894737 & -21687.3157894737 \tabularnewline
182 & 81240 & 96095.3157894737 & -14855.3157894737 \tabularnewline
183 & 14688 & 18098.3333333333 & -3410.33333333333 \tabularnewline
184 & 181633 & 201692.291666667 & -20059.2916666667 \tabularnewline
185 & 271856 & 253151.466666667 & 18704.5333333333 \tabularnewline
186 & 7199 & 18098.3333333333 & -10899.3333333333 \tabularnewline
187 & 46660 & 33818.5 & 12841.5 \tabularnewline
188 & 17547 & 18098.3333333333 & -551.333333333332 \tabularnewline
189 & 133368 & 149311.055555556 & -15943.0555555556 \tabularnewline
190 & 95227 & 76272.5882352941 & 18954.4117647059 \tabularnewline
191 & 152601 & 127902.84375 & 24698.15625 \tabularnewline
192 & 98146 & 76272.5882352941 & 21873.4117647059 \tabularnewline
193 & 79619 & 96095.3157894737 & -16476.3157894737 \tabularnewline
194 & 59194 & 96095.3157894737 & -36901.3157894737 \tabularnewline
195 & 139942 & 162554.1 & -22612.1 \tabularnewline
196 & 118612 & 127902.84375 & -9290.84375 \tabularnewline
197 & 72880 & 76272.5882352941 & -3392.58823529411 \tabularnewline
198 & 65475 & 51240.4 & 14234.6 \tabularnewline
199 & 99643 & 149311.055555556 & -49668.0555555556 \tabularnewline
200 & 71965 & 76272.5882352941 & -4307.58823529411 \tabularnewline
201 & 77272 & 58728.7222222222 & 18543.2777777778 \tabularnewline
202 & 49289 & 51240.4 & -1951.4 \tabularnewline
203 & 135131 & 127902.84375 & 7228.15625 \tabularnewline
204 & 108446 & 127902.84375 & -19456.84375 \tabularnewline
205 & 89746 & 96095.3157894737 & -6349.31578947368 \tabularnewline
206 & 44296 & 51240.4 & -6944.4 \tabularnewline
207 & 77648 & 76272.5882352941 & 1375.41176470589 \tabularnewline
208 & 181528 & 149311.055555556 & 32216.9444444444 \tabularnewline
209 & 134019 & 127902.84375 & 6116.15625 \tabularnewline
210 & 124064 & 127902.84375 & -3838.84375 \tabularnewline
211 & 92630 & 127902.84375 & -35272.84375 \tabularnewline
212 & 121848 & 96095.3157894737 & 25752.6842105263 \tabularnewline
213 & 52915 & 51240.4 & 1674.6 \tabularnewline
214 & 81872 & 95754.8 & -13882.8 \tabularnewline
215 & 58981 & 76272.5882352941 & -17291.5882352941 \tabularnewline
216 & 53515 & 58728.7222222222 & -5213.72222222222 \tabularnewline
217 & 60812 & 76272.5882352941 & -15460.5882352941 \tabularnewline
218 & 56375 & 58728.7222222222 & -2353.72222222222 \tabularnewline
219 & 65490 & 58728.7222222222 & 6761.27777777778 \tabularnewline
220 & 80949 & 51240.4 & 29708.6 \tabularnewline
221 & 76302 & 95754.8 & -19452.8 \tabularnewline
222 & 104011 & 162554.1 & -58543.1 \tabularnewline
223 & 98104 & 149311.055555556 & -51207.0555555556 \tabularnewline
224 & 67989 & 95754.8 & -27765.8 \tabularnewline
225 & 30989 & 51240.4 & -20251.4 \tabularnewline
226 & 135458 & 149311.055555556 & -13853.0555555556 \tabularnewline
227 & 73504 & 76272.5882352941 & -2768.58823529411 \tabularnewline
228 & 63123 & 76272.5882352941 & -13149.5882352941 \tabularnewline
229 & 61254 & 76272.5882352941 & -15018.5882352941 \tabularnewline
230 & 74914 & 96095.3157894737 & -21181.3157894737 \tabularnewline
231 & 31774 & 51240.4 & -19466.4 \tabularnewline
232 & 81437 & 95754.8 & -14317.8 \tabularnewline
233 & 87186 & 127902.84375 & -40716.84375 \tabularnewline
234 & 50090 & 58728.7222222222 & -8638.72222222222 \tabularnewline
235 & 65745 & 76272.5882352941 & -10527.5882352941 \tabularnewline
236 & 56653 & 58728.7222222222 & -2075.72222222222 \tabularnewline
237 & 158399 & 127902.84375 & 30496.15625 \tabularnewline
238 & 46455 & 58728.7222222222 & -12273.7222222222 \tabularnewline
239 & 73624 & 76272.5882352941 & -2648.58823529411 \tabularnewline
240 & 38395 & 51240.4 & -12845.4 \tabularnewline
241 & 91899 & 95754.8 & -3855.8 \tabularnewline
242 & 139526 & 127902.84375 & 11623.15625 \tabularnewline
243 & 52164 & 58728.7222222222 & -6564.72222222222 \tabularnewline
244 & 51567 & 51240.4 & 326.599999999999 \tabularnewline
245 & 70551 & 76272.5882352941 & -5721.58823529411 \tabularnewline
246 & 84856 & 95754.8 & -10898.8 \tabularnewline
247 & 102538 & 127902.84375 & -25364.84375 \tabularnewline
248 & 86678 & 95754.8 & -9076.8 \tabularnewline
249 & 85709 & 76272.5882352941 & 9436.41176470589 \tabularnewline
250 & 34662 & 33818.5 & 843.5 \tabularnewline
251 & 150580 & 149311.055555556 & 1268.94444444444 \tabularnewline
252 & 99611 & 95754.8 & 3856.2 \tabularnewline
253 & 19349 & 18098.3333333333 & 1250.66666666667 \tabularnewline
254 & 99373 & 96095.3157894737 & 3277.68421052632 \tabularnewline
255 & 86230 & 76272.5882352941 & 9957.41176470589 \tabularnewline
256 & 30837 & 33818.5 & -2981.5 \tabularnewline
257 & 31706 & 33818.5 & -2112.5 \tabularnewline
258 & 89806 & 76272.5882352941 & 13533.4117647059 \tabularnewline
259 & 62088 & 51240.4 & 10847.6 \tabularnewline
260 & 40151 & 33818.5 & 6332.5 \tabularnewline
261 & 27634 & 33818.5 & -6184.5 \tabularnewline
262 & 76990 & 58728.7222222222 & 18261.2777777778 \tabularnewline
263 & 37460 & 33818.5 & 3641.5 \tabularnewline
264 & 54157 & 58728.7222222222 & -4571.72222222222 \tabularnewline
265 & 49862 & 51240.4 & -1378.4 \tabularnewline
266 & 84337 & 95754.8 & -11417.8 \tabularnewline
267 & 64175 & 76272.5882352941 & -12097.5882352941 \tabularnewline
268 & 59382 & 58728.7222222222 & 653.277777777781 \tabularnewline
269 & 119308 & 95754.8 & 23553.2 \tabularnewline
270 & 76702 & 76272.5882352941 & 429.411764705888 \tabularnewline
271 & 103425 & 96095.3157894737 & 7329.68421052632 \tabularnewline
272 & 70344 & 58728.7222222222 & 11615.2777777778 \tabularnewline
273 & 43410 & 76272.5882352941 & -32862.5882352941 \tabularnewline
274 & 104838 & 95754.8 & 9083.2 \tabularnewline
275 & 62215 & 58728.7222222222 & 3486.27777777778 \tabularnewline
276 & 69304 & 76272.5882352941 & -6968.58823529411 \tabularnewline
277 & 53117 & 51240.4 & 1876.6 \tabularnewline
278 & 19764 & 18098.3333333333 & 1665.66666666667 \tabularnewline
279 & 86680 & 95754.8 & -9074.8 \tabularnewline
280 & 84105 & 76272.5882352941 & 7832.41176470589 \tabularnewline
281 & 77945 & 76272.5882352941 & 1672.41176470589 \tabularnewline
282 & 89113 & 76272.5882352941 & 12840.4117647059 \tabularnewline
283 & 91005 & 76272.5882352941 & 14732.4117647059 \tabularnewline
284 & 40248 & 33818.5 & 6429.5 \tabularnewline
285 & 64187 & 58728.7222222222 & 5458.27777777778 \tabularnewline
286 & 50857 & 58728.7222222222 & -7871.72222222222 \tabularnewline
287 & 56613 & 58728.7222222222 & -2115.72222222222 \tabularnewline
288 & 62792 & 58728.7222222222 & 4063.27777777778 \tabularnewline
289 & 72535 & 76272.5882352941 & -3737.58823529411 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198174&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]162554.1[/C][C]48352.9[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]162554.1[/C][C]-41572.1[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]162554.1[/C][C]13953.9[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]201692.291666667[/C][C]-22371.2916666667[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]162554.1[/C][C]-39369.1[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]51240.4[/C][C]1505.6[/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]18098.3333333333[/C][C]15071.6666666667[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]96095.3157894737[/C][C]5549.68421052632[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]162554.1[/C][C]-13493.1[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]162554.1[/C][C]2891.89999999999[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]234333.285714286[/C][C]2879.71428571429[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]127902.84375[/C][C]45423.15625[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]127902.84375[/C][C]5228.15625[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]201692.291666667[/C][C]57180.7083333333[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]162554.1[/C][C]17528.9[/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]234333.285714286[/C][C]-3369.28571428571[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]234333.285714286[/C][C]2451.71428571429[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]162554.1[/C][C]-27081.1[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]201692.291666667[/C][C]1232.70833333334[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]234333.285714286[/C][C]-19186.2857142857[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]253151.466666667[/C][C]91145.5333333333[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]162554.1[/C][C]-8619.10000000001[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]162554.1[/C][C]-29611.1[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]253151.466666667[/C][C]-78427.4666666667[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]201692.291666667[/C][C]-27277.2916666667[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]253151.466666667[/C][C]-27603.4666666667[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]234333.285714286[/C][C]-10701.2857142857[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]127902.84375[/C][C]-3085.84375[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]234333.285714286[/C][C]-12635.2857142857[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]234333.285714286[/C][C]-23566.2857142857[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]162554.1[/C][C]7711.89999999999[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]234333.285714286[/C][C]26227.7142857143[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]76272.5882352941[/C][C]8580.41176470589[/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]95754.8[/C][C]5256.2[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]201692.291666667[/C][C]13948.7083333333[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]253151.466666667[/C][C]71955.5333333333[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]18098.3333333333[/C][C]-10922.3333333333[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]162554.1[/C][C]4987.89999999999[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]95754.8[/C][C]10653.2[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]96095.3157894737[/C][C]464.68421052632[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]253151.466666667[/C][C]12617.5333333333[/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]149311.055555556[/C][C]-199.055555555562[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]149311.055555556[/C][C]26512.9444444444[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]162554.1[/C][C]-9683.10000000001[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]95754.8[/C][C]15910.2[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]201692.291666667[/C][C]-85284.2916666667[/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]95754.8[/C][C]-16954.8[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]201692.291666667[/C][C]-18525.2916666667[/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]201692.291666667[/C][C]-51063.2916666667[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]162554.1[/C][C]6254.89999999999[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]33818.5[/C][C]-9630.5[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]253151.466666667[/C][C]76115.5333333333[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]76272.5882352941[/C][C]-11243.5882352941[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]95754.8[/C][C]5342.2[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]253151.466666667[/C][C]-34205.4666666667[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]234333.285714286[/C][C]9718.71428571429[/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]95754.8[/C][C]7842.2[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]253151.466666667[/C][C]-19823.4666666667[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]234333.285714286[/C][C]22128.7142857143[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]149311.055555556[/C][C]56849.9444444444[/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]253151.466666667[/C][C]-17351.4666666667[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]149311.055555556[/C][C]28627.9444444444[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]201692.291666667[/C][C]5483.70833333334[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]162554.1[/C][C]33998.9[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]162554.1[/C][C]11629.9[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]127902.84375[/C][C]15343.15625[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]253151.466666667[/C][C]-65592.4666666667[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]201692.291666667[/C][C]-14011.2916666667[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]127902.84375[/C][C]-8886.84375[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]201692.291666667[/C][C]-19500.2916666667[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]76272.5882352941[/C][C]-2706.58823529411[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]201692.291666667[/C][C]-6713.29166666666[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]162554.1[/C][C]4933.89999999999[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]127902.84375[/C][C]15853.15625[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]201692.291666667[/C][C]73848.7083333333[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]234333.285714286[/C][C]8865.71428571429[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]162554.1[/C][C]20444.9[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]127902.84375[/C][C]7746.15625[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]149311.055555556[/C][C]2987.94444444444[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]127902.84375[/C][C]-7681.84375[/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]149311.055555556[/C][C]-3521.05555555556[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]201692.291666667[/C][C]-8353.29166666666[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]95754.8[/C][C]-14801.8[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]96095.3157894737[/C][C]26678.6842105263[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]95754.8[/C][C]34830.2[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]95754.8[/C][C]16856.2[/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]234333.285714286[/C][C]6732.71428571429[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]149311.055555556[/C][C]-865.055555555562[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]201692.291666667[/C][C]3020.70833333334[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]162554.1[/C][C]19524.9[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]127902.84375[/C][C]12441.15625[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]253151.466666667[/C][C]-32635.4666666667[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]234333.285714286[/C][C]8726.71428571429[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]162554.1[/C][C]210.899999999994[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]162554.1[/C][C]20058.9[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]234333.285714286[/C][C]-2195.28571428571[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]253151.466666667[/C][C]12166.5333333333[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]96095.3157894737[/C][C]-10521.3157894737[/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]201692.291666667[/C][C]23367.7083333333[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]234333.285714286[/C][C]-2016.28571428571[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]127902.84375[/C][C]17063.15625[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]51240.4[/C][C]-7953.4[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]149311.055555556[/C][C]6442.94444444444[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]162554.1[/C][C]2154.89999999999[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]201692.291666667[/C][C]247.708333333343[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]234333.285714286[/C][C]1120.71428571429[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]201692.291666667[/C][C]19108.7083333333[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]162554.1[/C][C]-63088.1[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]96095.3157894737[/C][C]-3434.31578947368[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]127902.84375[/C][C]5425.15625[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]96095.3157894737[/C][C]-34734.3157894737[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]149311.055555556[/C][C]-23381.0555555556[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]127902.84375[/C][C]-27152.84375[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]162554.1[/C][C]61994.9[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]76272.5882352941[/C][C]6043.41176470589[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]95754.8[/C][C]6255.2[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]127902.84375[/C][C]-26379.84375[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]201692.291666667[/C][C]41818.7083333333[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]18098.3333333333[/C][C]4839.66666666667[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]58728.7222222222[/C][C]-17162.7222222222[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]162554.1[/C][C]-10080.1[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]51240.4[/C][C]10616.6[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]96095.3157894737[/C][C]3827.68421052632[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]127902.84375[/C][C]4584.15625[/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]18098.3333333333[/C][C]2955.66666666667[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]234333.285714286[/C][C]-24692.2857142857[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]33818.5[/C][C]-11170.5[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]33818.5[/C][C]-2404.5[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]76272.5882352941[/C][C]-29574.5882352941[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]127902.84375[/C][C]3795.15625[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]76272.5882352941[/C][C]15462.4117647059[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]253151.466666667[/C][C]-8402.46666666667[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]149311.055555556[/C][C]35198.9444444444[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]96095.3157894737[/C][C]-16232.3157894737[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]96095.3157894737[/C][C]32327.6842105263[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]95754.8[/C][C]2084.2[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]33818.5[/C][C]4395.5[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]127902.84375[/C][C]23198.15625[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]234333.285714286[/C][C]38124.7142857143[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]162554.1[/C][C]9939.89999999999[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]127902.84375[/C][C]-19859.84375[/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]234333.285714286[/C][C]16245.7142857143[/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]162554.1[/C][C]-4539.10000000001[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]76272.5882352941[/C][C]22593.4117647059[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]95754.8[/C][C]-10315.8[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]201692.291666667[/C][C]27549.7083333333[/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]76272.5882352941[/C][C]7934.41176470589[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]127902.84375[/C][C]-7457.84375[/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]149311.055555556[/C][C]-18242.0555555556[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]162554.1[/C][C]41716.9[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]201692.291666667[/C][C]-36149.2916666667[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]127902.84375[/C][C]13819.15625[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]95754.8[/C][C]20293.2[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]201692.291666667[/C][C]48354.7083333333[/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]201692.291666667[/C][C]-5854.29166666666[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]96095.3157894737[/C][C]77164.6842105263[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]253151.466666667[/C][C]1336.53333333333[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]127902.84375[/C][C]-23513.84375[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]149311.055555556[/C][C]-13227.0555555556[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]234333.285714286[/C][C]-34857.2857142857[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]76272.5882352941[/C][C]16226.4117647059[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]234333.285714286[/C][C]-10003.2857142857[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]127902.84375[/C][C]7878.15625[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]96095.3157894737[/C][C]-21687.3157894737[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]96095.3157894737[/C][C]-14855.3157894737[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]18098.3333333333[/C][C]-3410.33333333333[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]201692.291666667[/C][C]-20059.2916666667[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]253151.466666667[/C][C]18704.5333333333[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]18098.3333333333[/C][C]-10899.3333333333[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]33818.5[/C][C]12841.5[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]18098.3333333333[/C][C]-551.333333333332[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]149311.055555556[/C][C]-15943.0555555556[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]76272.5882352941[/C][C]18954.4117647059[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]127902.84375[/C][C]24698.15625[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]76272.5882352941[/C][C]21873.4117647059[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]96095.3157894737[/C][C]-16476.3157894737[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]96095.3157894737[/C][C]-36901.3157894737[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]162554.1[/C][C]-22612.1[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]127902.84375[/C][C]-9290.84375[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]76272.5882352941[/C][C]-3392.58823529411[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]51240.4[/C][C]14234.6[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]149311.055555556[/C][C]-49668.0555555556[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]76272.5882352941[/C][C]-4307.58823529411[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]58728.7222222222[/C][C]18543.2777777778[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]51240.4[/C][C]-1951.4[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]127902.84375[/C][C]7228.15625[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]127902.84375[/C][C]-19456.84375[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]96095.3157894737[/C][C]-6349.31578947368[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]51240.4[/C][C]-6944.4[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]76272.5882352941[/C][C]1375.41176470589[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]149311.055555556[/C][C]32216.9444444444[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]127902.84375[/C][C]6116.15625[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]127902.84375[/C][C]-3838.84375[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]127902.84375[/C][C]-35272.84375[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]96095.3157894737[/C][C]25752.6842105263[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]51240.4[/C][C]1674.6[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]95754.8[/C][C]-13882.8[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]76272.5882352941[/C][C]-17291.5882352941[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]58728.7222222222[/C][C]-5213.72222222222[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]76272.5882352941[/C][C]-15460.5882352941[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]58728.7222222222[/C][C]-2353.72222222222[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]58728.7222222222[/C][C]6761.27777777778[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]51240.4[/C][C]29708.6[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]95754.8[/C][C]-19452.8[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]162554.1[/C][C]-58543.1[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]149311.055555556[/C][C]-51207.0555555556[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]95754.8[/C][C]-27765.8[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]51240.4[/C][C]-20251.4[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]149311.055555556[/C][C]-13853.0555555556[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]76272.5882352941[/C][C]-2768.58823529411[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]76272.5882352941[/C][C]-13149.5882352941[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]76272.5882352941[/C][C]-15018.5882352941[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]96095.3157894737[/C][C]-21181.3157894737[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]51240.4[/C][C]-19466.4[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]95754.8[/C][C]-14317.8[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]127902.84375[/C][C]-40716.84375[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]58728.7222222222[/C][C]-8638.72222222222[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]76272.5882352941[/C][C]-10527.5882352941[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]58728.7222222222[/C][C]-2075.72222222222[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]127902.84375[/C][C]30496.15625[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]58728.7222222222[/C][C]-12273.7222222222[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]76272.5882352941[/C][C]-2648.58823529411[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]51240.4[/C][C]-12845.4[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]95754.8[/C][C]-3855.8[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]127902.84375[/C][C]11623.15625[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]58728.7222222222[/C][C]-6564.72222222222[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]51240.4[/C][C]326.599999999999[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]76272.5882352941[/C][C]-5721.58823529411[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]95754.8[/C][C]-10898.8[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]127902.84375[/C][C]-25364.84375[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]95754.8[/C][C]-9076.8[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]76272.5882352941[/C][C]9436.41176470589[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]33818.5[/C][C]843.5[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]149311.055555556[/C][C]1268.94444444444[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]95754.8[/C][C]3856.2[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]18098.3333333333[/C][C]1250.66666666667[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]96095.3157894737[/C][C]3277.68421052632[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]76272.5882352941[/C][C]9957.41176470589[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]33818.5[/C][C]-2981.5[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]33818.5[/C][C]-2112.5[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]76272.5882352941[/C][C]13533.4117647059[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]51240.4[/C][C]10847.6[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]33818.5[/C][C]6332.5[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]33818.5[/C][C]-6184.5[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]58728.7222222222[/C][C]18261.2777777778[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]33818.5[/C][C]3641.5[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]58728.7222222222[/C][C]-4571.72222222222[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]51240.4[/C][C]-1378.4[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]95754.8[/C][C]-11417.8[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]76272.5882352941[/C][C]-12097.5882352941[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]58728.7222222222[/C][C]653.277777777781[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]95754.8[/C][C]23553.2[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]76272.5882352941[/C][C]429.411764705888[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]96095.3157894737[/C][C]7329.68421052632[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]58728.7222222222[/C][C]11615.2777777778[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]76272.5882352941[/C][C]-32862.5882352941[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]95754.8[/C][C]9083.2[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]58728.7222222222[/C][C]3486.27777777778[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]76272.5882352941[/C][C]-6968.58823529411[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]51240.4[/C][C]1876.6[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]18098.3333333333[/C][C]1665.66666666667[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]95754.8[/C][C]-9074.8[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]76272.5882352941[/C][C]7832.41176470589[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]76272.5882352941[/C][C]1672.41176470589[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]76272.5882352941[/C][C]12840.4117647059[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]76272.5882352941[/C][C]14732.4117647059[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]33818.5[/C][C]6429.5[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]58728.7222222222[/C][C]5458.27777777778[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]58728.7222222222[/C][C]-7871.72222222222[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]58728.7222222222[/C][C]-2115.72222222222[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]58728.7222222222[/C][C]4063.27777777778[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]76272.5882352941[/C][C]-3737.58823529411[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198174&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198174&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
1210907162554.148352.9
2120982162554.1-41572.1
3176508162554.113953.9
4179321201692.291666667-22371.2916666667
5123185162554.1-39369.1
65274651240.41505.6
7385534322592.29411764762941.705882353
83317018098.333333333315071.6666666667
910164596095.31578947375549.68421052632
10149061162554.1-13493.1
11165446162554.12891.89999999999
12237213234333.2857142862879.71428571429
13173326127902.8437545423.15625
14133131127902.843755228.15625
15258873201692.29166666757180.7083333333
16180083162554.117528.9
17324799322592.2941176472206.70588235295
18230964234333.285714286-3369.28571428571
19236785234333.2857142862451.71428571429
20135473162554.1-27081.1
21202925201692.2916666671232.70833333334
22215147234333.285714286-19186.2857142857
23344297253151.46666666791145.5333333333
24153935162554.1-8619.10000000001
25132943162554.1-29611.1
26174724253151.466666667-78427.4666666667
27174415201692.291666667-27277.2916666667
28225548253151.466666667-27603.4666666667
29223632234333.285714286-10701.2857142857
30124817127902.84375-3085.84375
31221698234333.285714286-12635.2857142857
32210767234333.285714286-23566.2857142857
33170266162554.17711.89999999999
34260561234333.28571428626227.7142857143
358485376272.58823529418580.41176470589
36294424322592.294117647-28168.294117647
3710101195754.85256.2
38215641201692.29166666713948.7083333333
39325107253151.46666666771955.5333333333
40717618098.3333333333-10922.3333333333
41167542162554.14987.89999999999
4210640895754.810653.2
439656096095.3157894737464.68421052632
44265769253151.46666666712617.5333333333
45269651322592.294117647-52941.294117647
46149112149311.055555556-199.055555555562
47175824149311.05555555626512.9444444444
48152871162554.1-9683.10000000001
4911166595754.815910.2
50116408201692.291666667-85284.2916666667
51362301322592.29411764739708.705882353
527880095754.8-16954.8
53183167201692.291666667-18525.2916666667
54277965322592.294117647-44627.294117647
55150629201692.291666667-51063.2916666667
56168809162554.16254.89999999999
572418833818.5-9630.5
58329267253151.46666666776115.5333333333
596502976272.5882352941-11243.5882352941
6010109795754.85342.2
61218946253151.466666667-34205.4666666667
62244052234333.2857142869718.71428571429
63341570322592.29411764718977.705882353
6410359795754.87842.2
65233328253151.466666667-19823.4666666667
66256462234333.28571428622128.7142857143
67206161149311.05555555656849.9444444444
68311473322592.294117647-11119.294117647
69235800253151.466666667-17351.4666666667
70177939149311.05555555628627.9444444444
71207176201692.2916666675483.70833333334
72196553162554.133998.9
73174184162554.111629.9
74143246127902.8437515343.15625
75187559253151.466666667-65592.4666666667
76187681201692.291666667-14011.2916666667
77119016127902.84375-8886.84375
78182192201692.291666667-19500.2916666667
797356676272.5882352941-2706.58823529411
80194979201692.291666667-6713.29166666666
81167488162554.14933.89999999999
82143756127902.8437515853.15625
83275541201692.29166666773848.7083333333
84243199234333.2857142868865.71428571429
85182999162554.120444.9
86135649127902.843757746.15625
87152299149311.0555555562987.94444444444
88120221127902.84375-7681.84375
89346485322592.29411764723892.705882353
90145790149311.055555556-3521.05555555556
91193339201692.291666667-8353.29166666666
928095395754.8-14801.8
9312277496095.315789473726678.6842105263
9413058595754.834830.2
9511261195754.816856.2
96286468322592.294117647-36124.294117647
97241066234333.2857142866732.71428571429
98148446149311.055555556-865.055555555562
99204713201692.2916666673020.70833333334
100182079162554.119524.9
101140344127902.8437512441.15625
102220516253151.466666667-32635.4666666667
103243060234333.2857142868726.71428571429
104162765162554.1210.899999999994
105182613162554.120058.9
106232138234333.285714286-2195.28571428571
107265318253151.46666666712166.5333333333
1088557496095.3157894737-10521.3157894737
109310839322592.294117647-11753.294117647
110225060201692.29166666723367.7083333333
111232317234333.285714286-2016.28571428571
112144966127902.8437517063.15625
1134328751240.4-7953.4
114155754149311.0555555566442.94444444444
115164709162554.12154.89999999999
116201940201692.291666667247.708333333343
117235454234333.2857142861120.71428571429
118220801201692.29166666719108.7083333333
11999466162554.1-63088.1
1209266196095.3157894737-3434.31578947368
121133328127902.843755425.15625
1226136196095.3157894737-34734.3157894737
123125930149311.055555556-23381.0555555556
124100750127902.84375-27152.84375
125224549162554.161994.9
1268231676272.58823529416043.41176470589
12710201095754.86255.2
128101523127902.84375-26379.84375
129243511201692.29166666741818.7083333333
1302293818098.33333333334839.66666666667
1314156658728.7222222222-17162.7222222222
132152474162554.1-10080.1
1336185751240.410616.6
1349992396095.31578947373827.68421052632
135132487127902.843754584.15625
136317394322592.294117647-5198.29411764705
1372105418098.33333333332955.66666666667
138209641234333.285714286-24692.2857142857
1392264833818.5-11170.5
1403141433818.5-2404.5
1414669876272.5882352941-29574.5882352941
142131698127902.843753795.15625
1439173576272.588235294115462.4117647059
144244749253151.466666667-8402.46666666667
145184510149311.05555555635198.9444444444
1467986396095.3157894737-16232.3157894737
14712842396095.315789473732327.6842105263
1489783995754.82084.2
1493821433818.54395.5
150151101127902.8437523198.15625
151272458234333.28571428638124.7142857143
152172494162554.19939.89999999999
153108043127902.84375-19859.84375
154328107322592.2941176475514.70588235295
155250579234333.28571428616245.7142857143
156351067322592.29411764728474.705882353
157158015162554.1-4539.10000000001
1589886676272.588235294122593.4117647059
1598543995754.8-10315.8
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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')
}