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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_regression_trees1.wasp

Title produced by software

Recursive Partitioning (Regression Trees)

Date of computation

Sat, 08 Dec 2012 12:07:09 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/08/t1354986446q9g9a60mli8brch.htm/, Retrieved Wed, 24 Apr 2024 10:49:26 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197687, Retrieved Wed, 24 Apr 2024 10:49:26 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

105

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)] [Hall_of_fame2] [2012-12-08 16:43:19] [3dc52aaca1c2323e282536a0c7c26bc2]
-         [Recursive Partitioning (Regression Trees)] [Hall_of_fame3] [2012-12-08 16:48:25] [3dc52aaca1c2323e282536a0c7c26bc2]
-           [Recursive Partitioning (Regression Trees)] [Hall_of_fame2] [2012-12-08 16:54:06] [3dc52aaca1c2323e282536a0c7c26bc2]
-             [Recursive Partitioning (Regression Trees)] [Hall_of_fame2] [2012-12-08 17:00:03] [3dc52aaca1c2323e282536a0c7c26bc2]
-    D            [Recursive Partitioning (Regression Trees)] [Hall_of_fame3] [2012-12-08 17:07:09] [2f047a68beb18e789d06219c4ebd4599] [Current]

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Dataseries X:

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Histogram

Boxplots

1418	210907	56	396	81	3	79	30	115	112285	24188	146283	144	145
869	120982	56	297	55	4	58	28	109	84786	18273	98364	103	101
1530	176508	54	559	50	12	60	38	146	83123	14130	86146	98	98
2172	179321	89	967	125	2	108	30	116	101193	32287	96933	135	132
901	123185	40	270	40	1	49	22	68	38361	8654	79234	61	60
463	52746	25	143	37	3	0	26	101	68504	9245	42551	39	38
3201	385534	92	1562	63	0	121	25	96	119182	33251	195663	150	144
371	33170	18	109	44	0	1	18	67	22807	1271	6853	5	5
1192	101645	63	371	88	0	20	11	44	17140	5279	21529	28	28
1583	149061	44	656	66	5	43	26	100	116174	27101	95757	84	84
1439	165446	33	511	57	0	69	25	93	57635	16373	85584	80	79
1764	237213	84	655	74	0	78	38	140	66198	19716	143983	130	127
1495	173326	88	465	49	7	86	44	166	71701	17753	75851	82	78
1373	133131	55	525	52	7	44	30	99	57793	9028	59238	60	60
2187	258873	60	885	88	3	104	40	139	80444	18653	93163	131	131
1491	180083	66	497	36	9	63	34	130	53855	8828	96037	84	84
4041	324799	154	1436	108	0	158	47	181	97668	29498	151511	140	133
1706	230964	53	612	43	4	102	30	116	133824	27563	136368	151	150
2152	236785	119	865	75	3	77	31	116	101481	18293	112642	91	91
1036	135473	41	385	32	0	82	23	88	99645	22530	94728	138	132
1882	202925	61	567	44	7	115	36	139	114789	15977	105499	150	136
1929	215147	58	639	85	0	101	36	135	99052	35082	121527	124	124
2242	344297	75	963	86	1	80	30	108	67654	16116	127766	119	118
1220	153935	33	398	56	5	50	25	89	65553	15849	98958	73	70
1289	132943	40	410	50	7	83	39	156	97500	16026	77900	110	107
2515	174724	92	966	135	0	123	34	129	69112	26569	85646	123	119
2147	174415	100	801	63	0	73	31	118	82753	24785	98579	90	89
2352	225548	112	892	81	5	81	31	118	85323	17569	130767	116	112
1638	223632	73	513	52	0	105	33	125	72654	23825	131741	113	108
1222	124817	40	469	44	0	47	25	95	30727	7869	53907	56	52
1812	221698	45	683	113	0	105	33	126	77873	14975	178812	115	112
1677	210767	60	643	39	3	94	35	135	117478	37791	146761	119	116
1579	170266	62	535	73	4	44	42	154	74007	9605	82036	129	123
1731	260561	75	625	48	1	114	43	165	90183	27295	163253	127	125
807	84853	31	264	33	4	38	30	113	61542	2746	27032	27	27
2452	294424	77	992	59	2	107	33	127	101494	34461	171975	175	162
829	101011	34	238	41	0	30	13	52	27570	8098	65990	35	32
1940	215641	46	818	69	0	71	32	121	55813	4787	86572	64	64
2662	325107	99	937	64	0	84	36	136	79215	24919	159676	96	92
186	7176	17	70	1	0	0	0	0	1423	603	1929	0	0
1499	167542	66	507	59	2	59	28	108	55461	16329	85371	84	83
865	106408	30	260	32	1	33	14	46	31081	12558	58391	41	41
1793	96560	76	503	129	0	42	17	54	22996	7784	31580	47	47
2527	265769	146	927	37	2	96	32	124	83122	28522	136815	126	120
2747	269651	67	1269	31	10	106	30	115	70106	22265	120642	105	105
1324	149112	56	537	65	6	56	35	128	60578	14459	69107	80	79
2702	175824	107	910	107	0	57	20	80	39992	14526	50495	70	65
1383	152871	58	532	74	5	59	28	97	79892	22240	108016	73	70
1179	111665	34	345	54	4	39	28	104	49810	11802	46341	57	55
2099	116408	61	918	76	1	34	39	59	71570	7623	78348	40	39
4308	362301	119	1635	715	2	76	34	125	100708	11912	79336	68	67
918	78800	42	330	57	2	20	26	82	33032	7935	56968	21	21
1831	183167	66	557	66	0	91	39	149	82875	18220	93176	127	127
3373	277965	89	1178	106	8	115	39	149	139077	19199	161632	154	152
1713	150629	44	740	54	3	85	33	122	71595	19918	87850	116	113
1438	168809	66	452	32	0	76	28	118	72260	21884	127969	102	99
496	24188	24	218	20	0	8	4	12	5950	2694	15049	7	7
2253	329267	259	764	71	8	79	39	144	115762	15808	155135	148	141
744	65029	17	255	21	5	21	18	67	32551	3597	25109	21	21
1161	101097	64	454	70	3	30	14	52	31701	5296	45824	35	35
2352	218946	41	866	112	1	76	29	108	80670	25239	102996	112	109
2144	244052	68	574	66	5	101	44	166	143558	29801	160604	137	133
4691	341570	168	1276	190	1	94	21	80	117105	18450	158051	135	123
1112	103597	43	379	66	1	27	16	60	23789	7132	44547	26	26
2694	233328	132	825	165	5	92	28	107	120733	34861	162647	230	230
1973	256462	105	798	56	0	123	35	127	105195	35940	174141	181	166
1769	206161	71	663	61	12	75	28	107	73107	16688	60622	71	68
3148	311473	112	1069	53	8	128	38	146	132068	24683	179566	147	147
2474	235800	94	921	127	8	105	23	84	149193	46230	184301	190	179
2084	177939	82	858	63	8	55	36	141	46821	10387	75661	64	61
1954	207176	70	711	38	8	56	32	123	87011	21436	96144	105	101
1226	196553	57	503	50	2	41	29	111	95260	30546	129847	107	108
1389	174184	53	382	52	0	72	25	98	55183	19746	117286	94	90
1496	143246	103	464	42	5	67	27	105	106671	15977	71180	116	114
2269	187559	121	717	76	8	75	36	135	73511	22583	109377	106	103
1833	187681	62	690	67	2	114	28	107	92945	17274	85298	143	142
1268	119016	52	462	50	5	118	23	85	78664	16469	73631	81	79
1943	182192	52	657	53	12	77	40	155	70054	14251	86767	89	88
893	73566	32	385	39	6	22	23	88	22618	3007	23824	26	25
1762	194979	62	577	50	7	66	40	155	74011	16851	93487	84	83
1403	167488	45	619	77	2	69	28	104	83737	21113	82981	113	113
1425	143756	46	479	57	0	105	34	132	69094	17401	73815	120	118
1857	275541	63	817	73	4	116	33	127	93133	23958	94552	110	110
1840	243199	75	752	34	3	88	28	108	95536	23567	132190	134	129
1502	182999	88	430	39	6	73	34	129	225920	13065	128754	54	51
1441	135649	46	451	46	2	99	30	116	62133	15358	66363	96	93
1420	152299	53	537	63	0	62	33	122	61370	14587	67808	78	76
1416	120221	37	519	35	1	53	22	85	43836	12770	61724	51	49
2970	346485	90	1000	106	0	118	38	147	106117	24021	131722	121	118
1317	145790	63	637	43	5	30	26	99	38692	9648	68580	38	38
1644	193339	78	465	47	2	100	35	87	84651	20537	106175	145	141
870	80953	25	437	31	0	49	8	28	56622	7905	55792	59	58
1654	122774	45	711	162	0	24	24	90	15986	4527	25157	27	27
1054	130585	46	299	57	5	67	29	109	95364	30495	76669	91	91
937	112611	41	248	36	0	46	20	78	26706	7117	57283	48	48
3004	286468	144	1162	263	1	57	29	111	89691	17719	105805	68	63
2008	241066	82	714	78	0	75	45	158	67267	27056	129484	58	56
2547	148446	91	905	63	1	135	37	141	126846	33473	72413	150	144
1885	204713	71	649	54	1	68	33	122	41140	9758	87831	74	73
1626	182079	63	512	63	2	124	33	124	102860	21115	96971	181	168
1468	140344	53	472	77	6	33	25	93	51715	7236	71299	65	64
2445	220516	62	905	79	1	98	32	124	55801	13790	77494	97	97
1964	243060	63	786	110	4	58	29	112	111813	32902	120336	121	117
1381	162765	32	489	56	2	68	28	108	120293	25131	93913	99	100
1369	182613	39	479	56	3	81	28	99	138599	30910	136048	152	149
1659	232138	62	617	43	0	131	31	117	161647	35947	181248	188	187
2888	265318	117	925	111	10	110	52	199	115929	29848	146123	138	127
1290	85574	34	351	71	0	37	21	78	24266	6943	32036	40	37
2845	310839	92	1144	62	9	130	24	91	162901	42705	186646	254	245
1982	225060	93	669	56	7	93	41	158	109825	31808	102255	87	87
1904	232317	54	707	74	0	118	33	126	129838	26675	168237	178	177
1391	144966	144	458	60	0	39	32	122	37510	8435	64219	51	49
602	43287	14	214	43	4	13	19	71	43750	7409	19630	49	49
1743	155754	61	599	68	4	74	20	75	40652	14993	76825	73	73
1559	164709	109	572	53	0	81	31	115	87771	36867	115338	176	177
2014	201940	38	897	87	0	109	31	119	85872	33835	109427	94	94
2143	235454	73	819	46	0	151	32	124	89275	24164	118168	120	117
2146	220801	75	720	105	1	51	18	72	44418	12607	84845	66	60
874	99466	50	273	32	0	28	23	91	192565	22609	153197	56	55
1590	92661	61	508	133	1	40	17	45	35232	5892	29877	39	39
1590	133328	55	506	79	0	56	20	78	40909	17014	63506	66	64
1210	61361	77	451	51	0	27	12	39	13294	5394	22445	27	26
2072	125930	75	699	207	4	37	17	68	32387	9178	47695	65	64
1281	100750	72	407	67	0	83	30	119	140867	6440	68370	58	58
1401	224549	50	465	47	4	54	31	117	120662	21916	146304	98	95
834	82316	32	245	34	4	27	10	39	21233	4011	38233	25	25
1105	102010	53	370	66	3	28	13	50	44332	5818	42071	26	26
1272	101523	42	316	76	0	59	22	88	61056	18647	50517	77	76
1944	243511	71	603	65	0	133	42	155	101338	20556	103950	130	129
391	22938	10	154	9	0	12	1	0	1168	238	5841	11	11
761	41566	35	229	42	5	0	9	36	13497	70	2341	2	2
1605	152474	65	577	45	0	106	32	123	65567	22392	84396	101	101
530	61857	25	192	25	4	23	11	32	25162	3913	24610	31	28
1988	99923	66	617	115	0	44	25	99	32334	12237	35753	36	36
1386	132487	41	411	97	0	71	36	136	40735	8388	55515	120	89
2395	317394	86	975	53	1	116	31	117	91413	22120	209056	195	193
387	21054	16	146	2	0	4	0	0	855	338	6622	4	4
1742	209641	42	705	52	5	62	24	88	97068	11727	115814	89	84
620	22648	19	184	44	0	12	13	39	44339	3704	11609	24	23
449	31414	19	200	22	0	18	8	25	14116	3988	13155	39	39
800	46698	45	274	35	0	14	13	52	10288	3030	18274	14	14
1684	131698	65	502	74	0	60	19	75	65622	13520	72875	78	78
1050	91735	35	382	103	0	7	18	71	16563	1421	10112	15	14
2699	244749	95	964	144	2	98	33	124	76643	20923	142775	106	101
1606	184510	49	537	60	7	64	40	151	110681	20237	68847	83	82
1502	79863	37	438	134	1	29	22	71	29011	3219	17659	24	24
1204	128423	64	369	89	8	32	38	145	92696	3769	20112	37	36
1138	97839	38	417	42	2	25	24	87	94785	12252	61023	77	75
568	38214	34	276	52	0	16	8	27	8773	1888	13983	16	16
1459	151101	32	514	98	2	48	35	131	83209	14497	65176	56	55
2158	272458	65	822	99	0	100	43	162	93815	28864	132432	132	131
1111	172494	52	389	52	0	46	43	165	86687	21721	112494	144	131
1421	108043	62	466	29	1	45	14	54	34553	4821	45109	40	39
2833	328107	65	1255	125	3	129	41	159	105547	33644	170875	153	144
1955	250579	83	694	106	0	130	38	147	103487	15923	180759	143	139
2922	351067	95	1024	95	3	136	45	170	213688	42935	214921	220	211
1002	158015	29	400	40	0	59	31	119	71220	18864	100226	79	78
1060	98866	18	397	140	0	25	13	49	23517	4977	32043	50	50
956	85439	33	350	43	0	32	28	104	56926	7785	54454	39	39
2186	229242	247	719	128	4	63	31	120	91721	17939	78876	95	90
3604	351619	139	1277	142	4	95	40	150	115168	23436	170745	169	166
1035	84207	29	356	73	11	14	30	112	111194	325	6940	12	12
1417	120445	118	457	72	0	36	16	59	51009	13539	49025	63	57
3261	324598	110	1402	128	0	113	37	136	135777	34538	122037	134	133
1587	131069	67	600	61	4	47	30	107	51513	12198	53782	69	69
1424	204271	42	480	73	0	92	35	130	74163	26924	127748	119	119
1701	165543	65	595	148	1	70	32	115	51633	12716	86839	119	119
1249	141722	94	436	64	0	19	27	107	75345	8172	44830	75	65
946	116048	64	230	45	0	50	20	75	33416	10855	77395	63	61
1926	250047	81	651	58	0	41	18	71	83305	11932	89324	55	49
3352	299775	95	1367	97	9	91	31	120	98952	14300	103300	103	101
1641	195838	67	564	50	1	111	31	116	102372	25515	112283	197	196
2035	173260	63	716	37	3	41	21	79	37238	2805	10901	16	15
2312	254488	83	747	50	10	120	39	150	103772	29402	120691	140	136
1369	104389	45	467	105	5	135	41	156	123969	16440	58106	89	89
1577	136084	30	671	69	0	27	13	51	27142	11221	57140	40	40
2201	199476	70	861	46	2	87	32	118	135400	28732	122422	125	123
961	92499	32	319	57	0	25	18	71	21399	5250	25899	21	21
1900	224330	83	612	52	1	131	39	144	130115	28608	139296	167	163
1254	135781	31	433	98	2	45	14	47	24874	8092	52678	32	29
1335	74408	67	434	61	4	29	7	28	34988	4473	23853	36	35
1597	81240	66	503	89	0	58	17	68	45549	1572	17306	13	13
207	14688	10	85	0	0	4	0	0	6023	2065	7953	5	5
1645	181633	70	564	48	2	47	30	110	64466	14817	89455	96	96
2429	271856	103	824	91	1	109	37	147	54990	16714	147866	151	151
151	7199	5	74	0	0	7	0	0	1644	556	4245	6	6
474	46660	20	259	7	0	12	5	15	6179	2089	21509	13	13
141	17547	5	69	3	0	0	1	4	3926	2658	7670	3	3
1639	133368	36	535	54	1	37	16	64	32755	10695	66675	57	56
872	95227	34	239	70	0	37	32	111	34777	1669	14336	23	23
1318	152601	48	438	36	2	46	24	85	73224	16267	53608	61	57
1018	98146	40	459	37	0	15	17	68	27114	7768	30059	21	14
1383	79619	43	426	123	3	42	11	40	20760	7252	29668	43	43
1314	59194	31	288	247	6	7	24	80	37636	6387	22097	20	20
1335	139942	42	498	46	0	54	22	88	65461	18715	96841	82	72
1403	118612	46	454	72	2	54	12	48	30080	7936	41907	90	87
910	72880	33	376	41	0	14	19	76	24094	8643	27080	25	21
616	65475	18	225	24	2	16	13	51	69008	7294	35885	60	56
1407	99643	55	555	45	1	33	17	67	54968	4570	41247	61	59
771	71965	35	252	33	1	32	15	59	46090	7185	28313	85	82
766	77272	59	208	27	2	21	16	61	27507	10058	36845	43	43
473	49289	19	130	36	1	15	24	76	10672	2342	16548	25	25
1376	135131	66	481	87	0	38	15	60	34029	8509	36134	41	38
1232	108446	60	389	90	1	22	17	68	46300	13275	55764	26	25
1521	89746	36	565	114	3	28	18	71	24760	6816	28910	38	38
572	44296	25	173	31	0	10	20	76	18779	1930	13339	12	12
1059	77648	47	278	45	0	31	16	62	21280	8086	25319	29	29
1544	181528	54	609	69	0	32	16	61	40662	10737	66956	49	47
1230	134019	53	422	51	0	32	18	67	28987	8033	47487	46	45
1206	124064	40	445	34	1	43	22	88	22827	7058	52785	41	40
1205	92630	40	387	60	4	27	8	30	18513	6782	44683	31	30
1255	121848	39	339	45	0	37	17	64	30594	5401	35619	41	41
613	52915	14	181	54	0	20	18	68	24006	6521	21920	26	25
721	81872	45	245	25	0	32	16	64	27913	10856	45608	23	23
1109	58981	36	384	38	7	0	23	91	42744	2154	7721	14	14
740	53515	28	212	52	2	5	22	88	12934	6117	20634	16	16
1126	60812	44	399	67	0	26	13	52	22574	5238	29788	25	26
728	56375	30	229	74	7	10	13	49	41385	4820	31931	21	21
689	65490	22	224	38	3	27	16	62	18653	5615	37754	32	27
592	80949	17	203	30	0	11	16	61	18472	4272	32505	9	9
995	76302	31	333	26	0	29	20	76	30976	8702	40557	35	33
1613	104011	55	384	67	6	25	22	88	63339	15340	94238	42	42
2048	98104	54	636	132	2	55	17	66	25568	8030	44197	68	68
705	67989	21	185	42	0	23	18	71	33747	9526	43228	32	32
301	30989	14	93	35	0	5	17	68	4154	1278	4103	6	6
1803	135458	81	581	118	3	43	12	48	19474	4236	44144	68	67
799	73504	35	248	68	0	23	7	25	35130	3023	32868	33	33
861	63123	43	304	43	1	34	17	68	39067	7196	27640	84	77
1186	61254	46	344	76	1	36	14	41	13310	3394	14063	46	46
1451	74914	30	407	64	0	35	23	90	65892	6371	28990	30	30
628	31774	23	170	48	1	0	17	66	4143	1574	4694	0	0
1161	81437	38	312	64	0	37	14	54	28579	9620	42648	36	36
1463	87186	54	507	56	0	28	15	59	51776	6978	64329	47	46
742	50090	20	224	71	0	16	17	60	21152	4911	21928	20	18
979	65745	53	340	75	0	26	21	77	38084	8645	25836	50	48
675	56653	45	168	39	0	38	18	68	27717	8987	22779	30	29
1241	158399	39	443	42	0	23	18	72	32928	5544	40820	30	28
676	46455	20	204	39	0	22	17	67	11342	3083	27530	34	34
1049	73624	24	367	93	0	30	17	64	19499	6909	32378	33	33
620	38395	31	210	38	0	16	16	63	16380	3189	10824	34	34
1081	91899	35	335	60	0	18	15	59	36874	6745	39613	37	33
1688	139526	151	364	71	0	28	21	84	48259	16724	60865	83	80
736	52164	52	178	52	0	32	16	64	16734	4850	19787	32	32
617	51567	30	206	27	2	21	14	56	28207	7025	20107	30	30
812	70551	31	279	59	0	23	15	54	30143	6047	36605	43	41
1051	84856	29	387	40	1	29	17	67	41369	7377	40961	41	41
1656	102538	57	490	79	1	50	15	58	45833	9078	48231	51	51
705	86678	40	238	44	0	12	15	59	29156	4605	39725	19	18
945	85709	44	343	65	0	21	10	40	35944	3238	21455	37	34
554	34662	25	232	10	0	18	6	22	36278	8100	23430	33	31
1597	150580	77	530	124	0	27	22	83	45588	9653	62991	41	39
982	99611	35	291	81	0	41	21	81	45097	8914	49363	54	54
222	19349	11	67	15	0	13	1	2	3895	786	9604	14	14
1212	99373	63	397	92	1	12	18	72	28394	6700	24552	25	24
1143	86230	44	467	42	0	21	17	61	18632	5788	31493	25	24
435	30837	19	178	10	0	8	4	15	2325	593	3439	8	8
532	31706	13	175	24	0	26	10	32	25139	4506	19555	26	26
882	89806	42	299	64	0	27	16	62	27975	6382	21228	20	19
608	62088	38	154	45	1	13	16	58	14483	5621	23177	11	11
459	40151	29	106	22	0	16	9	36	13127	3997	22094	14	14
578	27634	20	189	56	0	2	16	59	5839	520	2342	3	1
826	76990	27	194	94	0	42	17	68	24069	8891	38798	40	39
509	37460	20	135	19	0	5	7	21	3738	999	3255	5	5
717	54157	19	201	35	0	37	15	55	18625	7067	24261	38	37
637	49862	37	207	32	0	17	14	54	36341	4639	18511	32	32
857	84337	26	280	35	0	38	14	55	24548	5654	40798	41	38
830	64175	42	260	48	0	37	18	72	21792	6928	28893	46	47
652	59382	49	227	49	0	29	12	41	26263	1514	21425	47	47
707	119308	30	239	48	0	32	16	61	23686	9238	50276	37	37
954	76702	49	333	62	0	35	21	67	49303	8204	37643	51	51
1461	103425	67	428	96	1	17	19	76	25659	5926	30377	49	45
672	70344	28	230	45	0	20	16	64	28904	5785	27126	21	21
778	43410	19	292	63	0	7	1	3	2781	4	13	1	1
1141	104838	49	350	71	1	46	16	63	29236	5930	42097	44	42
680	62215	27	186	26	0	24	10	40	19546	3710	24451	26	26
1090	69304	30	326	48	6	40	19	69	22818	705	14335	21	21
616	53117	22	155	29	3	3	12	48	32689	443	5084	4	4
285	19764	12	75	19	1	10	2	8	5752	2416	9927	10	10
1145	86680	31	361	45	2	37	14	52	22197	7747	43527	43	43
733	84105	20	261	45	0	17	17	66	20055	5432	27184	34	34
888	77945	20	299	67	0	28	19	76	25272	4913	21610	32	31
849	89113	39	300	30	0	19	14	43	82206	2650	20484	20	19
1182	91005	29	450	36	3	29	11	39	32073	2370	20156	34	34
528	40248	16	183	34	1	8	4	14	5444	775	6012	6	6
642	64187	27	238	36	0	10	16	61	20154	5576	18475	12	11
947	50857	21	165	34	0	15	20	71	36944	1352	12645	24	24
819	56613	19	234	37	1	15	12	44	8019	3080	11017	16	16
757	62792	35	176	46	0	28	15	60	30884	10205	37623	72	72
894	72535	14	329	44	0	17	16	64	19540	6095	35873	27	21

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	14 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 & 14 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197687&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]14 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=197687&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197687&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	14 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Goodness of Fit
Correlation	0.9816
R-squared	0.9636
RMSE	7.6578

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.9816 \tabularnewline
R-squared & 0.9636 \tabularnewline
RMSE & 7.6578 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197687&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.9816[/C][/ROW]
[ROW][C]R-squared[/C][C]0.9636[/C][/ROW]
[ROW][C]RMSE[/C][C]7.6578[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197687&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197687&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
Correlation	0.9816
R-squared	0.9636
RMSE	7.6578

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	115	109.03125	5.96875
2	109	109.03125	-0.03125
3	146	141.407407407407	4.59259259259258
4	116	109.03125	6.96875
5	68	85.2608695652174	-17.2608695652174
6	101	95	6
7	96	95	1
8	67	70	-3
9	44	40.375	3.625
10	100	95	5
11	93	95	-2
12	140	141.407407407407	-1.40740740740742
13	166	165.285714285714	0.714285714285722
14	99	109.03125	-10.03125
15	139	141.407407407407	-2.40740740740742
16	130	121.976744186047	8.02325581395348
17	181	165.285714285714	15.7142857142857
18	116	109.03125	6.96875
19	116	121.976744186047	-5.97674418604652
20	88	85.2608695652174	2.73913043478261
21	139	141.407407407407	-2.40740740740742
22	135	141.407407407407	-6.40740740740742
23	108	109.03125	-1.03125
24	89	95	-6
25	156	141.407407407407	14.5925925925926
26	129	121.976744186047	7.02325581395348
27	118	121.976744186047	-3.97674418604652
28	118	121.976744186047	-3.97674418604652
29	125	121.976744186047	3.02325581395348
30	95	95	0
31	126	121.976744186047	4.02325581395348
32	135	121.976744186047	13.0232558139535
33	154	165.285714285714	-11.2857142857143
34	165	165.285714285714	-0.285714285714278
35	113	109.03125	3.96875
36	127	121.976744186047	5.02325581395348
37	52	49.95	2.05
38	121	121.976744186047	-0.976744186046517
39	136	141.407407407407	-5.40740740740742
40	0	5.61538461538461	-5.61538461538461
41	108	109.03125	-1.03125
42	46	49.95	-3.95
43	54	63.0526315789474	-9.05263157894737
44	124	121.976744186047	2.02325581395348
45	115	109.03125	5.96875
46	128	121.976744186047	6.02325581395348
47	80	76.0952380952381	3.9047619047619
48	97	109.03125	-12.03125
49	104	109.03125	-5.03125
50	59	141.407407407407	-82.4074074074074
51	125	121.976744186047	3.02325581395348
52	82	95	-13
53	149	141.407407407407	7.59259259259258
54	149	141.407407407407	7.59259259259258
55	122	121.976744186047	0.0232558139534831
56	118	109.03125	8.96875
57	12	5.61538461538461	6.38461538461539
58	144	141.407407407407	2.59259259259258
59	67	70	-3
60	52	49.95	2.05
61	108	109.03125	-1.03125
62	166	165.285714285714	0.714285714285722
63	80	76.0952380952381	3.9047619047619
64	60	63.0526315789474	-3.05263157894737
65	107	109.03125	-2.03125
66	127	121.976744186047	5.02325581395348
67	107	109.03125	-2.03125
68	146	141.407407407407	4.59259259259258
69	84	85.2608695652174	-1.26086956521739
70	141	141.407407407407	-0.407407407407419
71	123	121.976744186047	1.02325581395348
72	111	109.03125	1.96875
73	98	95	3
74	105	109.03125	-4.03125
75	135	141.407407407407	-6.40740740740742
76	107	109.03125	-2.03125
77	85	85.2608695652174	-0.260869565217391
78	155	141.407407407407	13.5925925925926
79	88	85.2608695652174	2.73913043478261
80	155	141.407407407407	13.5925925925926
81	104	109.03125	-5.03125
82	132	121.976744186047	10.0232558139535
83	127	121.976744186047	5.02325581395348
84	108	109.03125	-1.03125
85	129	121.976744186047	7.02325581395348
86	116	109.03125	6.96875
87	122	121.976744186047	0.0232558139534831
88	85	85.2608695652174	-0.260869565217391
89	147	141.407407407407	5.59259259259258
90	99	95	4
91	87	121.976744186047	-34.9767441860465
92	28	25.75	2.25
93	90	85.2608695652174	4.73913043478261
94	109	109.03125	-0.03125
95	78	76.0952380952381	1.9047619047619
96	111	109.03125	1.96875
97	158	165.285714285714	-7.28571428571428
98	141	141.407407407407	-0.407407407407419
99	122	121.976744186047	0.0232558139534831
100	124	121.976744186047	2.02325581395348
101	93	95	-2
102	124	121.976744186047	2.02325581395348
103	112	109.03125	2.96875
104	108	109.03125	-1.03125
105	99	109.03125	-10.03125
106	117	121.976744186047	-4.97674418604652
107	199	165.285714285714	33.7142857142857
108	78	76.0952380952381	1.9047619047619
109	91	85.2608695652174	5.73913043478261
110	158	165.285714285714	-7.28571428571428
111	126	121.976744186047	4.02325581395348
112	122	121.976744186047	0.0232558139534831
113	71	76.0952380952381	-5.0952380952381
114	75	76.0952380952381	-1.0952380952381
115	115	121.976744186047	-6.97674418604652
116	119	121.976744186047	-2.97674418604652
117	124	121.976744186047	2.02325581395348
118	72	70	2
119	91	85.2608695652174	5.73913043478261
120	45	63.0526315789474	-18.0526315789474
121	78	76.0952380952381	1.9047619047619
122	39	40.375	-1.375
123	68	63.0526315789474	4.94736842105263
124	119	109.03125	9.96875
125	117	121.976744186047	-4.97674418604652
126	39	40.375	-1.375
127	50	49.95	0.0499999999999972
128	88	85.2608695652174	2.73913043478261
129	155	165.285714285714	-10.2857142857143
130	0	5.61538461538461	-5.61538461538461
131	36	40.375	-4.375
132	123	121.976744186047	1.02325581395348
133	32	40.375	-8.375
134	99	95	4
135	136	141.407407407407	-5.40740740740742
136	117	121.976744186047	-4.97674418604652
137	0	5.61538461538461	-5.61538461538461
138	88	85.2608695652174	2.73913043478261
139	39	49.95	-10.95
140	25	25.75	-0.75
141	52	49.95	2.05
142	75	76.0952380952381	-1.0952380952381
143	71	70	1
144	124	121.976744186047	2.02325581395348
145	151	141.407407407407	9.59259259259258
146	71	85.2608695652174	-14.2608695652174
147	145	141.407407407407	3.59259259259258
148	87	85.2608695652174	1.73913043478261
149	27	25.75	1.25
150	131	121.976744186047	9.02325581395348
151	162	165.285714285714	-3.28571428571428
152	165	165.285714285714	-0.285714285714278
153	54	49.95	4.05
154	159	165.285714285714	-6.28571428571428
155	147	141.407407407407	5.59259259259258
156	170	165.285714285714	4.71428571428572
157	119	121.976744186047	-2.97674418604652
158	49	49.95	-0.950000000000003
159	104	109.03125	-5.03125
160	120	121.976744186047	-1.97674418604652
161	150	141.407407407407	8.59259259259258
162	112	109.03125	2.96875
163	59	63.0526315789474	-4.05263157894737
164	136	141.407407407407	-5.40740740740742
165	107	109.03125	-2.03125
166	130	121.976744186047	8.02325581395348
167	115	121.976744186047	-6.97674418604652
168	107	109.03125	-2.03125
169	75	76.0952380952381	-1.0952380952381
170	71	70	1
171	120	121.976744186047	-1.97674418604652
172	116	121.976744186047	-5.97674418604652
173	79	76.0952380952381	2.9047619047619
174	150	141.407407407407	8.59259259259258
175	156	165.285714285714	-9.28571428571428
176	51	49.95	1.05
177	118	121.976744186047	-3.97674418604652
178	71	70	1
179	144	141.407407407407	2.59259259259258
180	47	49.95	-2.95
181	28	25.75	2.25
182	68	63.0526315789474	4.94736842105263
183	0	5.61538461538461	-5.61538461538461
184	110	109.03125	0.96875
185	147	141.407407407407	5.59259259259258
186	0	5.61538461538461	-5.61538461538461
187	15	5.61538461538461	9.38461538461539
188	4	5.61538461538461	-1.61538461538461
189	64	63.0526315789474	0.94736842105263
190	111	121.976744186047	-10.9767441860465
191	85	85.2608695652174	-0.260869565217391
192	68	63.0526315789474	4.94736842105263
193	40	40.375	-0.375
194	80	85.2608695652174	-5.26086956521739
195	88	85.2608695652174	2.73913043478261
196	48	40.375	7.625
197	76	76.0952380952381	-0.095238095238102
198	51	49.95	1.05
199	67	63.0526315789474	3.94736842105263
200	59	58.1111111111111	0.888888888888886
201	61	63.0526315789474	-2.05263157894737
202	76	85.2608695652174	-9.26086956521739
203	60	58.1111111111111	1.88888888888889
204	68	63.0526315789474	4.94736842105263
205	71	70	1
206	76	76.0952380952381	-0.095238095238102
207	62	63.0526315789474	-1.05263157894737
208	61	63.0526315789474	-2.05263157894737
209	67	70	-3
210	88	85.2608695652174	2.73913043478261
211	30	25.75	4.25
212	64	63.0526315789474	0.94736842105263
213	68	70	-2
214	64	63.0526315789474	0.94736842105263
215	91	85.2608695652174	5.73913043478261
216	88	85.2608695652174	2.73913043478261
217	52	49.95	2.05
218	49	49.95	-0.950000000000003
219	62	63.0526315789474	-1.05263157894737
220	61	63.0526315789474	-2.05263157894737
221	76	76.0952380952381	-0.095238095238102
222	88	85.2608695652174	2.73913043478261
223	66	63.0526315789474	2.94736842105263
224	71	70	1
225	68	63.0526315789474	4.94736842105263
226	48	40.375	7.625
227	25	25.75	-0.75
228	68	63.0526315789474	4.94736842105263
229	41	49.95	-8.95
230	90	85.2608695652174	4.73913043478261
231	66	63.0526315789474	2.94736842105263
232	54	49.95	4.05
233	59	58.1111111111111	0.888888888888886
234	60	63.0526315789474	-3.05263157894737
235	77	76.0952380952381	0.904761904761898
236	68	70	-2
237	72	70	2
238	67	63.0526315789474	3.94736842105263
239	64	63.0526315789474	0.94736842105263
240	63	63.0526315789474	-0.0526315789473699
241	59	58.1111111111111	0.888888888888886
242	84	76.0952380952381	7.9047619047619
243	64	63.0526315789474	0.94736842105263
244	56	49.95	6.05
245	54	58.1111111111111	-4.11111111111111
246	67	63.0526315789474	3.94736842105263
247	58	58.1111111111111	-0.111111111111114
248	59	58.1111111111111	0.888888888888886
249	40	40.375	-0.375
250	22	25.75	-3.75
251	83	85.2608695652174	-2.26086956521739
252	81	76.0952380952381	4.9047619047619
253	2	5.61538461538461	-3.61538461538461
254	72	70	2
255	61	63.0526315789474	-2.05263157894737
256	15	5.61538461538461	9.38461538461539
257	32	40.375	-8.375
258	62	63.0526315789474	-1.05263157894737
259	58	63.0526315789474	-5.05263157894737
260	36	40.375	-4.375
261	59	63.0526315789474	-4.05263157894737
262	68	63.0526315789474	4.94736842105263
263	21	25.75	-4.75
264	55	58.1111111111111	-3.11111111111111
265	54	49.95	4.05
266	55	49.95	5.05
267	72	70	2
268	41	40.375	0.625
269	61	63.0526315789474	-2.05263157894737
270	67	76.0952380952381	-9.0952380952381
271	76	76.0952380952381	-0.095238095238102
272	64	63.0526315789474	0.94736842105263
273	3	5.61538461538461	-2.61538461538461
274	63	63.0526315789474	-0.0526315789473699
275	40	40.375	-0.375
276	69	76.0952380952381	-7.0952380952381
277	48	40.375	7.625
278	8	5.61538461538461	2.38461538461539
279	52	49.95	2.05
280	66	63.0526315789474	2.94736842105263
281	76	76.0952380952381	-0.095238095238102
282	43	49.95	-6.95
283	39	40.375	-1.375
284	14	5.61538461538461	8.38461538461539
285	61	63.0526315789474	-2.05263157894737
286	71	76.0952380952381	-5.0952380952381
287	44	40.375	3.625
288	60	58.1111111111111	1.88888888888889
289	64	63.0526315789474	0.94736842105263

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 115 & 109.03125 & 5.96875 \tabularnewline
2 & 109 & 109.03125 & -0.03125 \tabularnewline
3 & 146 & 141.407407407407 & 4.59259259259258 \tabularnewline
4 & 116 & 109.03125 & 6.96875 \tabularnewline
5 & 68 & 85.2608695652174 & -17.2608695652174 \tabularnewline
6 & 101 & 95 & 6 \tabularnewline
7 & 96 & 95 & 1 \tabularnewline
8 & 67 & 70 & -3 \tabularnewline
9 & 44 & 40.375 & 3.625 \tabularnewline
10 & 100 & 95 & 5 \tabularnewline
11 & 93 & 95 & -2 \tabularnewline
12 & 140 & 141.407407407407 & -1.40740740740742 \tabularnewline
13 & 166 & 165.285714285714 & 0.714285714285722 \tabularnewline
14 & 99 & 109.03125 & -10.03125 \tabularnewline
15 & 139 & 141.407407407407 & -2.40740740740742 \tabularnewline
16 & 130 & 121.976744186047 & 8.02325581395348 \tabularnewline
17 & 181 & 165.285714285714 & 15.7142857142857 \tabularnewline
18 & 116 & 109.03125 & 6.96875 \tabularnewline
19 & 116 & 121.976744186047 & -5.97674418604652 \tabularnewline
20 & 88 & 85.2608695652174 & 2.73913043478261 \tabularnewline
21 & 139 & 141.407407407407 & -2.40740740740742 \tabularnewline
22 & 135 & 141.407407407407 & -6.40740740740742 \tabularnewline
23 & 108 & 109.03125 & -1.03125 \tabularnewline
24 & 89 & 95 & -6 \tabularnewline
25 & 156 & 141.407407407407 & 14.5925925925926 \tabularnewline
26 & 129 & 121.976744186047 & 7.02325581395348 \tabularnewline
27 & 118 & 121.976744186047 & -3.97674418604652 \tabularnewline
28 & 118 & 121.976744186047 & -3.97674418604652 \tabularnewline
29 & 125 & 121.976744186047 & 3.02325581395348 \tabularnewline
30 & 95 & 95 & 0 \tabularnewline
31 & 126 & 121.976744186047 & 4.02325581395348 \tabularnewline
32 & 135 & 121.976744186047 & 13.0232558139535 \tabularnewline
33 & 154 & 165.285714285714 & -11.2857142857143 \tabularnewline
34 & 165 & 165.285714285714 & -0.285714285714278 \tabularnewline
35 & 113 & 109.03125 & 3.96875 \tabularnewline
36 & 127 & 121.976744186047 & 5.02325581395348 \tabularnewline
37 & 52 & 49.95 & 2.05 \tabularnewline
38 & 121 & 121.976744186047 & -0.976744186046517 \tabularnewline
39 & 136 & 141.407407407407 & -5.40740740740742 \tabularnewline
40 & 0 & 5.61538461538461 & -5.61538461538461 \tabularnewline
41 & 108 & 109.03125 & -1.03125 \tabularnewline
42 & 46 & 49.95 & -3.95 \tabularnewline
43 & 54 & 63.0526315789474 & -9.05263157894737 \tabularnewline
44 & 124 & 121.976744186047 & 2.02325581395348 \tabularnewline
45 & 115 & 109.03125 & 5.96875 \tabularnewline
46 & 128 & 121.976744186047 & 6.02325581395348 \tabularnewline
47 & 80 & 76.0952380952381 & 3.9047619047619 \tabularnewline
48 & 97 & 109.03125 & -12.03125 \tabularnewline
49 & 104 & 109.03125 & -5.03125 \tabularnewline
50 & 59 & 141.407407407407 & -82.4074074074074 \tabularnewline
51 & 125 & 121.976744186047 & 3.02325581395348 \tabularnewline
52 & 82 & 95 & -13 \tabularnewline
53 & 149 & 141.407407407407 & 7.59259259259258 \tabularnewline
54 & 149 & 141.407407407407 & 7.59259259259258 \tabularnewline
55 & 122 & 121.976744186047 & 0.0232558139534831 \tabularnewline
56 & 118 & 109.03125 & 8.96875 \tabularnewline
57 & 12 & 5.61538461538461 & 6.38461538461539 \tabularnewline
58 & 144 & 141.407407407407 & 2.59259259259258 \tabularnewline
59 & 67 & 70 & -3 \tabularnewline
60 & 52 & 49.95 & 2.05 \tabularnewline
61 & 108 & 109.03125 & -1.03125 \tabularnewline
62 & 166 & 165.285714285714 & 0.714285714285722 \tabularnewline
63 & 80 & 76.0952380952381 & 3.9047619047619 \tabularnewline
64 & 60 & 63.0526315789474 & -3.05263157894737 \tabularnewline
65 & 107 & 109.03125 & -2.03125 \tabularnewline
66 & 127 & 121.976744186047 & 5.02325581395348 \tabularnewline
67 & 107 & 109.03125 & -2.03125 \tabularnewline
68 & 146 & 141.407407407407 & 4.59259259259258 \tabularnewline
69 & 84 & 85.2608695652174 & -1.26086956521739 \tabularnewline
70 & 141 & 141.407407407407 & -0.407407407407419 \tabularnewline
71 & 123 & 121.976744186047 & 1.02325581395348 \tabularnewline
72 & 111 & 109.03125 & 1.96875 \tabularnewline
73 & 98 & 95 & 3 \tabularnewline
74 & 105 & 109.03125 & -4.03125 \tabularnewline
75 & 135 & 141.407407407407 & -6.40740740740742 \tabularnewline
76 & 107 & 109.03125 & -2.03125 \tabularnewline
77 & 85 & 85.2608695652174 & -0.260869565217391 \tabularnewline
78 & 155 & 141.407407407407 & 13.5925925925926 \tabularnewline
79 & 88 & 85.2608695652174 & 2.73913043478261 \tabularnewline
80 & 155 & 141.407407407407 & 13.5925925925926 \tabularnewline
81 & 104 & 109.03125 & -5.03125 \tabularnewline
82 & 132 & 121.976744186047 & 10.0232558139535 \tabularnewline
83 & 127 & 121.976744186047 & 5.02325581395348 \tabularnewline
84 & 108 & 109.03125 & -1.03125 \tabularnewline
85 & 129 & 121.976744186047 & 7.02325581395348 \tabularnewline
86 & 116 & 109.03125 & 6.96875 \tabularnewline
87 & 122 & 121.976744186047 & 0.0232558139534831 \tabularnewline
88 & 85 & 85.2608695652174 & -0.260869565217391 \tabularnewline
89 & 147 & 141.407407407407 & 5.59259259259258 \tabularnewline
90 & 99 & 95 & 4 \tabularnewline
91 & 87 & 121.976744186047 & -34.9767441860465 \tabularnewline
92 & 28 & 25.75 & 2.25 \tabularnewline
93 & 90 & 85.2608695652174 & 4.73913043478261 \tabularnewline
94 & 109 & 109.03125 & -0.03125 \tabularnewline
95 & 78 & 76.0952380952381 & 1.9047619047619 \tabularnewline
96 & 111 & 109.03125 & 1.96875 \tabularnewline
97 & 158 & 165.285714285714 & -7.28571428571428 \tabularnewline
98 & 141 & 141.407407407407 & -0.407407407407419 \tabularnewline
99 & 122 & 121.976744186047 & 0.0232558139534831 \tabularnewline
100 & 124 & 121.976744186047 & 2.02325581395348 \tabularnewline
101 & 93 & 95 & -2 \tabularnewline
102 & 124 & 121.976744186047 & 2.02325581395348 \tabularnewline
103 & 112 & 109.03125 & 2.96875 \tabularnewline
104 & 108 & 109.03125 & -1.03125 \tabularnewline
105 & 99 & 109.03125 & -10.03125 \tabularnewline
106 & 117 & 121.976744186047 & -4.97674418604652 \tabularnewline
107 & 199 & 165.285714285714 & 33.7142857142857 \tabularnewline
108 & 78 & 76.0952380952381 & 1.9047619047619 \tabularnewline
109 & 91 & 85.2608695652174 & 5.73913043478261 \tabularnewline
110 & 158 & 165.285714285714 & -7.28571428571428 \tabularnewline
111 & 126 & 121.976744186047 & 4.02325581395348 \tabularnewline
112 & 122 & 121.976744186047 & 0.0232558139534831 \tabularnewline
113 & 71 & 76.0952380952381 & -5.0952380952381 \tabularnewline
114 & 75 & 76.0952380952381 & -1.0952380952381 \tabularnewline
115 & 115 & 121.976744186047 & -6.97674418604652 \tabularnewline
116 & 119 & 121.976744186047 & -2.97674418604652 \tabularnewline
117 & 124 & 121.976744186047 & 2.02325581395348 \tabularnewline
118 & 72 & 70 & 2 \tabularnewline
119 & 91 & 85.2608695652174 & 5.73913043478261 \tabularnewline
120 & 45 & 63.0526315789474 & -18.0526315789474 \tabularnewline
121 & 78 & 76.0952380952381 & 1.9047619047619 \tabularnewline
122 & 39 & 40.375 & -1.375 \tabularnewline
123 & 68 & 63.0526315789474 & 4.94736842105263 \tabularnewline
124 & 119 & 109.03125 & 9.96875 \tabularnewline
125 & 117 & 121.976744186047 & -4.97674418604652 \tabularnewline
126 & 39 & 40.375 & -1.375 \tabularnewline
127 & 50 & 49.95 & 0.0499999999999972 \tabularnewline
128 & 88 & 85.2608695652174 & 2.73913043478261 \tabularnewline
129 & 155 & 165.285714285714 & -10.2857142857143 \tabularnewline
130 & 0 & 5.61538461538461 & -5.61538461538461 \tabularnewline
131 & 36 & 40.375 & -4.375 \tabularnewline
132 & 123 & 121.976744186047 & 1.02325581395348 \tabularnewline
133 & 32 & 40.375 & -8.375 \tabularnewline
134 & 99 & 95 & 4 \tabularnewline
135 & 136 & 141.407407407407 & -5.40740740740742 \tabularnewline
136 & 117 & 121.976744186047 & -4.97674418604652 \tabularnewline
137 & 0 & 5.61538461538461 & -5.61538461538461 \tabularnewline
138 & 88 & 85.2608695652174 & 2.73913043478261 \tabularnewline
139 & 39 & 49.95 & -10.95 \tabularnewline
140 & 25 & 25.75 & -0.75 \tabularnewline
141 & 52 & 49.95 & 2.05 \tabularnewline
142 & 75 & 76.0952380952381 & -1.0952380952381 \tabularnewline
143 & 71 & 70 & 1 \tabularnewline
144 & 124 & 121.976744186047 & 2.02325581395348 \tabularnewline
145 & 151 & 141.407407407407 & 9.59259259259258 \tabularnewline
146 & 71 & 85.2608695652174 & -14.2608695652174 \tabularnewline
147 & 145 & 141.407407407407 & 3.59259259259258 \tabularnewline
148 & 87 & 85.2608695652174 & 1.73913043478261 \tabularnewline
149 & 27 & 25.75 & 1.25 \tabularnewline
150 & 131 & 121.976744186047 & 9.02325581395348 \tabularnewline
151 & 162 & 165.285714285714 & -3.28571428571428 \tabularnewline
152 & 165 & 165.285714285714 & -0.285714285714278 \tabularnewline
153 & 54 & 49.95 & 4.05 \tabularnewline
154 & 159 & 165.285714285714 & -6.28571428571428 \tabularnewline
155 & 147 & 141.407407407407 & 5.59259259259258 \tabularnewline
156 & 170 & 165.285714285714 & 4.71428571428572 \tabularnewline
157 & 119 & 121.976744186047 & -2.97674418604652 \tabularnewline
158 & 49 & 49.95 & -0.950000000000003 \tabularnewline
159 & 104 & 109.03125 & -5.03125 \tabularnewline
160 & 120 & 121.976744186047 & -1.97674418604652 \tabularnewline
161 & 150 & 141.407407407407 & 8.59259259259258 \tabularnewline
162 & 112 & 109.03125 & 2.96875 \tabularnewline
163 & 59 & 63.0526315789474 & -4.05263157894737 \tabularnewline
164 & 136 & 141.407407407407 & -5.40740740740742 \tabularnewline
165 & 107 & 109.03125 & -2.03125 \tabularnewline
166 & 130 & 121.976744186047 & 8.02325581395348 \tabularnewline
167 & 115 & 121.976744186047 & -6.97674418604652 \tabularnewline
168 & 107 & 109.03125 & -2.03125 \tabularnewline
169 & 75 & 76.0952380952381 & -1.0952380952381 \tabularnewline
170 & 71 & 70 & 1 \tabularnewline
171 & 120 & 121.976744186047 & -1.97674418604652 \tabularnewline
172 & 116 & 121.976744186047 & -5.97674418604652 \tabularnewline
173 & 79 & 76.0952380952381 & 2.9047619047619 \tabularnewline
174 & 150 & 141.407407407407 & 8.59259259259258 \tabularnewline
175 & 156 & 165.285714285714 & -9.28571428571428 \tabularnewline
176 & 51 & 49.95 & 1.05 \tabularnewline
177 & 118 & 121.976744186047 & -3.97674418604652 \tabularnewline
178 & 71 & 70 & 1 \tabularnewline
179 & 144 & 141.407407407407 & 2.59259259259258 \tabularnewline
180 & 47 & 49.95 & -2.95 \tabularnewline
181 & 28 & 25.75 & 2.25 \tabularnewline
182 & 68 & 63.0526315789474 & 4.94736842105263 \tabularnewline
183 & 0 & 5.61538461538461 & -5.61538461538461 \tabularnewline
184 & 110 & 109.03125 & 0.96875 \tabularnewline
185 & 147 & 141.407407407407 & 5.59259259259258 \tabularnewline
186 & 0 & 5.61538461538461 & -5.61538461538461 \tabularnewline
187 & 15 & 5.61538461538461 & 9.38461538461539 \tabularnewline
188 & 4 & 5.61538461538461 & -1.61538461538461 \tabularnewline
189 & 64 & 63.0526315789474 & 0.94736842105263 \tabularnewline
190 & 111 & 121.976744186047 & -10.9767441860465 \tabularnewline
191 & 85 & 85.2608695652174 & -0.260869565217391 \tabularnewline
192 & 68 & 63.0526315789474 & 4.94736842105263 \tabularnewline
193 & 40 & 40.375 & -0.375 \tabularnewline
194 & 80 & 85.2608695652174 & -5.26086956521739 \tabularnewline
195 & 88 & 85.2608695652174 & 2.73913043478261 \tabularnewline
196 & 48 & 40.375 & 7.625 \tabularnewline
197 & 76 & 76.0952380952381 & -0.095238095238102 \tabularnewline
198 & 51 & 49.95 & 1.05 \tabularnewline
199 & 67 & 63.0526315789474 & 3.94736842105263 \tabularnewline
200 & 59 & 58.1111111111111 & 0.888888888888886 \tabularnewline
201 & 61 & 63.0526315789474 & -2.05263157894737 \tabularnewline
202 & 76 & 85.2608695652174 & -9.26086956521739 \tabularnewline
203 & 60 & 58.1111111111111 & 1.88888888888889 \tabularnewline
204 & 68 & 63.0526315789474 & 4.94736842105263 \tabularnewline
205 & 71 & 70 & 1 \tabularnewline
206 & 76 & 76.0952380952381 & -0.095238095238102 \tabularnewline
207 & 62 & 63.0526315789474 & -1.05263157894737 \tabularnewline
208 & 61 & 63.0526315789474 & -2.05263157894737 \tabularnewline
209 & 67 & 70 & -3 \tabularnewline
210 & 88 & 85.2608695652174 & 2.73913043478261 \tabularnewline
211 & 30 & 25.75 & 4.25 \tabularnewline
212 & 64 & 63.0526315789474 & 0.94736842105263 \tabularnewline
213 & 68 & 70 & -2 \tabularnewline
214 & 64 & 63.0526315789474 & 0.94736842105263 \tabularnewline
215 & 91 & 85.2608695652174 & 5.73913043478261 \tabularnewline
216 & 88 & 85.2608695652174 & 2.73913043478261 \tabularnewline
217 & 52 & 49.95 & 2.05 \tabularnewline
218 & 49 & 49.95 & -0.950000000000003 \tabularnewline
219 & 62 & 63.0526315789474 & -1.05263157894737 \tabularnewline
220 & 61 & 63.0526315789474 & -2.05263157894737 \tabularnewline
221 & 76 & 76.0952380952381 & -0.095238095238102 \tabularnewline
222 & 88 & 85.2608695652174 & 2.73913043478261 \tabularnewline
223 & 66 & 63.0526315789474 & 2.94736842105263 \tabularnewline
224 & 71 & 70 & 1 \tabularnewline
225 & 68 & 63.0526315789474 & 4.94736842105263 \tabularnewline
226 & 48 & 40.375 & 7.625 \tabularnewline
227 & 25 & 25.75 & -0.75 \tabularnewline
228 & 68 & 63.0526315789474 & 4.94736842105263 \tabularnewline
229 & 41 & 49.95 & -8.95 \tabularnewline
230 & 90 & 85.2608695652174 & 4.73913043478261 \tabularnewline
231 & 66 & 63.0526315789474 & 2.94736842105263 \tabularnewline
232 & 54 & 49.95 & 4.05 \tabularnewline
233 & 59 & 58.1111111111111 & 0.888888888888886 \tabularnewline
234 & 60 & 63.0526315789474 & -3.05263157894737 \tabularnewline
235 & 77 & 76.0952380952381 & 0.904761904761898 \tabularnewline
236 & 68 & 70 & -2 \tabularnewline
237 & 72 & 70 & 2 \tabularnewline
238 & 67 & 63.0526315789474 & 3.94736842105263 \tabularnewline
239 & 64 & 63.0526315789474 & 0.94736842105263 \tabularnewline
240 & 63 & 63.0526315789474 & -0.0526315789473699 \tabularnewline
241 & 59 & 58.1111111111111 & 0.888888888888886 \tabularnewline
242 & 84 & 76.0952380952381 & 7.9047619047619 \tabularnewline
243 & 64 & 63.0526315789474 & 0.94736842105263 \tabularnewline
244 & 56 & 49.95 & 6.05 \tabularnewline
245 & 54 & 58.1111111111111 & -4.11111111111111 \tabularnewline
246 & 67 & 63.0526315789474 & 3.94736842105263 \tabularnewline
247 & 58 & 58.1111111111111 & -0.111111111111114 \tabularnewline
248 & 59 & 58.1111111111111 & 0.888888888888886 \tabularnewline
249 & 40 & 40.375 & -0.375 \tabularnewline
250 & 22 & 25.75 & -3.75 \tabularnewline
251 & 83 & 85.2608695652174 & -2.26086956521739 \tabularnewline
252 & 81 & 76.0952380952381 & 4.9047619047619 \tabularnewline
253 & 2 & 5.61538461538461 & -3.61538461538461 \tabularnewline
254 & 72 & 70 & 2 \tabularnewline
255 & 61 & 63.0526315789474 & -2.05263157894737 \tabularnewline
256 & 15 & 5.61538461538461 & 9.38461538461539 \tabularnewline
257 & 32 & 40.375 & -8.375 \tabularnewline
258 & 62 & 63.0526315789474 & -1.05263157894737 \tabularnewline
259 & 58 & 63.0526315789474 & -5.05263157894737 \tabularnewline
260 & 36 & 40.375 & -4.375 \tabularnewline
261 & 59 & 63.0526315789474 & -4.05263157894737 \tabularnewline
262 & 68 & 63.0526315789474 & 4.94736842105263 \tabularnewline
263 & 21 & 25.75 & -4.75 \tabularnewline
264 & 55 & 58.1111111111111 & -3.11111111111111 \tabularnewline
265 & 54 & 49.95 & 4.05 \tabularnewline
266 & 55 & 49.95 & 5.05 \tabularnewline
267 & 72 & 70 & 2 \tabularnewline
268 & 41 & 40.375 & 0.625 \tabularnewline
269 & 61 & 63.0526315789474 & -2.05263157894737 \tabularnewline
270 & 67 & 76.0952380952381 & -9.0952380952381 \tabularnewline
271 & 76 & 76.0952380952381 & -0.095238095238102 \tabularnewline
272 & 64 & 63.0526315789474 & 0.94736842105263 \tabularnewline
273 & 3 & 5.61538461538461 & -2.61538461538461 \tabularnewline
274 & 63 & 63.0526315789474 & -0.0526315789473699 \tabularnewline
275 & 40 & 40.375 & -0.375 \tabularnewline
276 & 69 & 76.0952380952381 & -7.0952380952381 \tabularnewline
277 & 48 & 40.375 & 7.625 \tabularnewline
278 & 8 & 5.61538461538461 & 2.38461538461539 \tabularnewline
279 & 52 & 49.95 & 2.05 \tabularnewline
280 & 66 & 63.0526315789474 & 2.94736842105263 \tabularnewline
281 & 76 & 76.0952380952381 & -0.095238095238102 \tabularnewline
282 & 43 & 49.95 & -6.95 \tabularnewline
283 & 39 & 40.375 & -1.375 \tabularnewline
284 & 14 & 5.61538461538461 & 8.38461538461539 \tabularnewline
285 & 61 & 63.0526315789474 & -2.05263157894737 \tabularnewline
286 & 71 & 76.0952380952381 & -5.0952380952381 \tabularnewline
287 & 44 & 40.375 & 3.625 \tabularnewline
288 & 60 & 58.1111111111111 & 1.88888888888889 \tabularnewline
289 & 64 & 63.0526315789474 & 0.94736842105263 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197687&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]115[/C][C]109.03125[/C][C]5.96875[/C][/ROW]
[ROW][C]2[/C][C]109[/C][C]109.03125[/C][C]-0.03125[/C][/ROW]
[ROW][C]3[/C][C]146[/C][C]141.407407407407[/C][C]4.59259259259258[/C][/ROW]
[ROW][C]4[/C][C]116[/C][C]109.03125[/C][C]6.96875[/C][/ROW]
[ROW][C]5[/C][C]68[/C][C]85.2608695652174[/C][C]-17.2608695652174[/C][/ROW]
[ROW][C]6[/C][C]101[/C][C]95[/C][C]6[/C][/ROW]
[ROW][C]7[/C][C]96[/C][C]95[/C][C]1[/C][/ROW]
[ROW][C]8[/C][C]67[/C][C]70[/C][C]-3[/C][/ROW]
[ROW][C]9[/C][C]44[/C][C]40.375[/C][C]3.625[/C][/ROW]
[ROW][C]10[/C][C]100[/C][C]95[/C][C]5[/C][/ROW]
[ROW][C]11[/C][C]93[/C][C]95[/C][C]-2[/C][/ROW]
[ROW][C]12[/C][C]140[/C][C]141.407407407407[/C][C]-1.40740740740742[/C][/ROW]
[ROW][C]13[/C][C]166[/C][C]165.285714285714[/C][C]0.714285714285722[/C][/ROW]
[ROW][C]14[/C][C]99[/C][C]109.03125[/C][C]-10.03125[/C][/ROW]
[ROW][C]15[/C][C]139[/C][C]141.407407407407[/C][C]-2.40740740740742[/C][/ROW]
[ROW][C]16[/C][C]130[/C][C]121.976744186047[/C][C]8.02325581395348[/C][/ROW]
[ROW][C]17[/C][C]181[/C][C]165.285714285714[/C][C]15.7142857142857[/C][/ROW]
[ROW][C]18[/C][C]116[/C][C]109.03125[/C][C]6.96875[/C][/ROW]
[ROW][C]19[/C][C]116[/C][C]121.976744186047[/C][C]-5.97674418604652[/C][/ROW]
[ROW][C]20[/C][C]88[/C][C]85.2608695652174[/C][C]2.73913043478261[/C][/ROW]
[ROW][C]21[/C][C]139[/C][C]141.407407407407[/C][C]-2.40740740740742[/C][/ROW]
[ROW][C]22[/C][C]135[/C][C]141.407407407407[/C][C]-6.40740740740742[/C][/ROW]
[ROW][C]23[/C][C]108[/C][C]109.03125[/C][C]-1.03125[/C][/ROW]
[ROW][C]24[/C][C]89[/C][C]95[/C][C]-6[/C][/ROW]
[ROW][C]25[/C][C]156[/C][C]141.407407407407[/C][C]14.5925925925926[/C][/ROW]
[ROW][C]26[/C][C]129[/C][C]121.976744186047[/C][C]7.02325581395348[/C][/ROW]
[ROW][C]27[/C][C]118[/C][C]121.976744186047[/C][C]-3.97674418604652[/C][/ROW]
[ROW][C]28[/C][C]118[/C][C]121.976744186047[/C][C]-3.97674418604652[/C][/ROW]
[ROW][C]29[/C][C]125[/C][C]121.976744186047[/C][C]3.02325581395348[/C][/ROW]
[ROW][C]30[/C][C]95[/C][C]95[/C][C]0[/C][/ROW]
[ROW][C]31[/C][C]126[/C][C]121.976744186047[/C][C]4.02325581395348[/C][/ROW]
[ROW][C]32[/C][C]135[/C][C]121.976744186047[/C][C]13.0232558139535[/C][/ROW]
[ROW][C]33[/C][C]154[/C][C]165.285714285714[/C][C]-11.2857142857143[/C][/ROW]
[ROW][C]34[/C][C]165[/C][C]165.285714285714[/C][C]-0.285714285714278[/C][/ROW]
[ROW][C]35[/C][C]113[/C][C]109.03125[/C][C]3.96875[/C][/ROW]
[ROW][C]36[/C][C]127[/C][C]121.976744186047[/C][C]5.02325581395348[/C][/ROW]
[ROW][C]37[/C][C]52[/C][C]49.95[/C][C]2.05[/C][/ROW]
[ROW][C]38[/C][C]121[/C][C]121.976744186047[/C][C]-0.976744186046517[/C][/ROW]
[ROW][C]39[/C][C]136[/C][C]141.407407407407[/C][C]-5.40740740740742[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]5.61538461538461[/C][C]-5.61538461538461[/C][/ROW]
[ROW][C]41[/C][C]108[/C][C]109.03125[/C][C]-1.03125[/C][/ROW]
[ROW][C]42[/C][C]46[/C][C]49.95[/C][C]-3.95[/C][/ROW]
[ROW][C]43[/C][C]54[/C][C]63.0526315789474[/C][C]-9.05263157894737[/C][/ROW]
[ROW][C]44[/C][C]124[/C][C]121.976744186047[/C][C]2.02325581395348[/C][/ROW]
[ROW][C]45[/C][C]115[/C][C]109.03125[/C][C]5.96875[/C][/ROW]
[ROW][C]46[/C][C]128[/C][C]121.976744186047[/C][C]6.02325581395348[/C][/ROW]
[ROW][C]47[/C][C]80[/C][C]76.0952380952381[/C][C]3.9047619047619[/C][/ROW]
[ROW][C]48[/C][C]97[/C][C]109.03125[/C][C]-12.03125[/C][/ROW]
[ROW][C]49[/C][C]104[/C][C]109.03125[/C][C]-5.03125[/C][/ROW]
[ROW][C]50[/C][C]59[/C][C]141.407407407407[/C][C]-82.4074074074074[/C][/ROW]
[ROW][C]51[/C][C]125[/C][C]121.976744186047[/C][C]3.02325581395348[/C][/ROW]
[ROW][C]52[/C][C]82[/C][C]95[/C][C]-13[/C][/ROW]
[ROW][C]53[/C][C]149[/C][C]141.407407407407[/C][C]7.59259259259258[/C][/ROW]
[ROW][C]54[/C][C]149[/C][C]141.407407407407[/C][C]7.59259259259258[/C][/ROW]
[ROW][C]55[/C][C]122[/C][C]121.976744186047[/C][C]0.0232558139534831[/C][/ROW]
[ROW][C]56[/C][C]118[/C][C]109.03125[/C][C]8.96875[/C][/ROW]
[ROW][C]57[/C][C]12[/C][C]5.61538461538461[/C][C]6.38461538461539[/C][/ROW]
[ROW][C]58[/C][C]144[/C][C]141.407407407407[/C][C]2.59259259259258[/C][/ROW]
[ROW][C]59[/C][C]67[/C][C]70[/C][C]-3[/C][/ROW]
[ROW][C]60[/C][C]52[/C][C]49.95[/C][C]2.05[/C][/ROW]
[ROW][C]61[/C][C]108[/C][C]109.03125[/C][C]-1.03125[/C][/ROW]
[ROW][C]62[/C][C]166[/C][C]165.285714285714[/C][C]0.714285714285722[/C][/ROW]
[ROW][C]63[/C][C]80[/C][C]76.0952380952381[/C][C]3.9047619047619[/C][/ROW]
[ROW][C]64[/C][C]60[/C][C]63.0526315789474[/C][C]-3.05263157894737[/C][/ROW]
[ROW][C]65[/C][C]107[/C][C]109.03125[/C][C]-2.03125[/C][/ROW]
[ROW][C]66[/C][C]127[/C][C]121.976744186047[/C][C]5.02325581395348[/C][/ROW]
[ROW][C]67[/C][C]107[/C][C]109.03125[/C][C]-2.03125[/C][/ROW]
[ROW][C]68[/C][C]146[/C][C]141.407407407407[/C][C]4.59259259259258[/C][/ROW]
[ROW][C]69[/C][C]84[/C][C]85.2608695652174[/C][C]-1.26086956521739[/C][/ROW]
[ROW][C]70[/C][C]141[/C][C]141.407407407407[/C][C]-0.407407407407419[/C][/ROW]
[ROW][C]71[/C][C]123[/C][C]121.976744186047[/C][C]1.02325581395348[/C][/ROW]
[ROW][C]72[/C][C]111[/C][C]109.03125[/C][C]1.96875[/C][/ROW]
[ROW][C]73[/C][C]98[/C][C]95[/C][C]3[/C][/ROW]
[ROW][C]74[/C][C]105[/C][C]109.03125[/C][C]-4.03125[/C][/ROW]
[ROW][C]75[/C][C]135[/C][C]141.407407407407[/C][C]-6.40740740740742[/C][/ROW]
[ROW][C]76[/C][C]107[/C][C]109.03125[/C][C]-2.03125[/C][/ROW]
[ROW][C]77[/C][C]85[/C][C]85.2608695652174[/C][C]-0.260869565217391[/C][/ROW]
[ROW][C]78[/C][C]155[/C][C]141.407407407407[/C][C]13.5925925925926[/C][/ROW]
[ROW][C]79[/C][C]88[/C][C]85.2608695652174[/C][C]2.73913043478261[/C][/ROW]
[ROW][C]80[/C][C]155[/C][C]141.407407407407[/C][C]13.5925925925926[/C][/ROW]
[ROW][C]81[/C][C]104[/C][C]109.03125[/C][C]-5.03125[/C][/ROW]
[ROW][C]82[/C][C]132[/C][C]121.976744186047[/C][C]10.0232558139535[/C][/ROW]
[ROW][C]83[/C][C]127[/C][C]121.976744186047[/C][C]5.02325581395348[/C][/ROW]
[ROW][C]84[/C][C]108[/C][C]109.03125[/C][C]-1.03125[/C][/ROW]
[ROW][C]85[/C][C]129[/C][C]121.976744186047[/C][C]7.02325581395348[/C][/ROW]
[ROW][C]86[/C][C]116[/C][C]109.03125[/C][C]6.96875[/C][/ROW]
[ROW][C]87[/C][C]122[/C][C]121.976744186047[/C][C]0.0232558139534831[/C][/ROW]
[ROW][C]88[/C][C]85[/C][C]85.2608695652174[/C][C]-0.260869565217391[/C][/ROW]
[ROW][C]89[/C][C]147[/C][C]141.407407407407[/C][C]5.59259259259258[/C][/ROW]
[ROW][C]90[/C][C]99[/C][C]95[/C][C]4[/C][/ROW]
[ROW][C]91[/C][C]87[/C][C]121.976744186047[/C][C]-34.9767441860465[/C][/ROW]
[ROW][C]92[/C][C]28[/C][C]25.75[/C][C]2.25[/C][/ROW]
[ROW][C]93[/C][C]90[/C][C]85.2608695652174[/C][C]4.73913043478261[/C][/ROW]
[ROW][C]94[/C][C]109[/C][C]109.03125[/C][C]-0.03125[/C][/ROW]
[ROW][C]95[/C][C]78[/C][C]76.0952380952381[/C][C]1.9047619047619[/C][/ROW]
[ROW][C]96[/C][C]111[/C][C]109.03125[/C][C]1.96875[/C][/ROW]
[ROW][C]97[/C][C]158[/C][C]165.285714285714[/C][C]-7.28571428571428[/C][/ROW]
[ROW][C]98[/C][C]141[/C][C]141.407407407407[/C][C]-0.407407407407419[/C][/ROW]
[ROW][C]99[/C][C]122[/C][C]121.976744186047[/C][C]0.0232558139534831[/C][/ROW]
[ROW][C]100[/C][C]124[/C][C]121.976744186047[/C][C]2.02325581395348[/C][/ROW]
[ROW][C]101[/C][C]93[/C][C]95[/C][C]-2[/C][/ROW]
[ROW][C]102[/C][C]124[/C][C]121.976744186047[/C][C]2.02325581395348[/C][/ROW]
[ROW][C]103[/C][C]112[/C][C]109.03125[/C][C]2.96875[/C][/ROW]
[ROW][C]104[/C][C]108[/C][C]109.03125[/C][C]-1.03125[/C][/ROW]
[ROW][C]105[/C][C]99[/C][C]109.03125[/C][C]-10.03125[/C][/ROW]
[ROW][C]106[/C][C]117[/C][C]121.976744186047[/C][C]-4.97674418604652[/C][/ROW]
[ROW][C]107[/C][C]199[/C][C]165.285714285714[/C][C]33.7142857142857[/C][/ROW]
[ROW][C]108[/C][C]78[/C][C]76.0952380952381[/C][C]1.9047619047619[/C][/ROW]
[ROW][C]109[/C][C]91[/C][C]85.2608695652174[/C][C]5.73913043478261[/C][/ROW]
[ROW][C]110[/C][C]158[/C][C]165.285714285714[/C][C]-7.28571428571428[/C][/ROW]
[ROW][C]111[/C][C]126[/C][C]121.976744186047[/C][C]4.02325581395348[/C][/ROW]
[ROW][C]112[/C][C]122[/C][C]121.976744186047[/C][C]0.0232558139534831[/C][/ROW]
[ROW][C]113[/C][C]71[/C][C]76.0952380952381[/C][C]-5.0952380952381[/C][/ROW]
[ROW][C]114[/C][C]75[/C][C]76.0952380952381[/C][C]-1.0952380952381[/C][/ROW]
[ROW][C]115[/C][C]115[/C][C]121.976744186047[/C][C]-6.97674418604652[/C][/ROW]
[ROW][C]116[/C][C]119[/C][C]121.976744186047[/C][C]-2.97674418604652[/C][/ROW]
[ROW][C]117[/C][C]124[/C][C]121.976744186047[/C][C]2.02325581395348[/C][/ROW]
[ROW][C]118[/C][C]72[/C][C]70[/C][C]2[/C][/ROW]
[ROW][C]119[/C][C]91[/C][C]85.2608695652174[/C][C]5.73913043478261[/C][/ROW]
[ROW][C]120[/C][C]45[/C][C]63.0526315789474[/C][C]-18.0526315789474[/C][/ROW]
[ROW][C]121[/C][C]78[/C][C]76.0952380952381[/C][C]1.9047619047619[/C][/ROW]
[ROW][C]122[/C][C]39[/C][C]40.375[/C][C]-1.375[/C][/ROW]
[ROW][C]123[/C][C]68[/C][C]63.0526315789474[/C][C]4.94736842105263[/C][/ROW]
[ROW][C]124[/C][C]119[/C][C]109.03125[/C][C]9.96875[/C][/ROW]
[ROW][C]125[/C][C]117[/C][C]121.976744186047[/C][C]-4.97674418604652[/C][/ROW]
[ROW][C]126[/C][C]39[/C][C]40.375[/C][C]-1.375[/C][/ROW]
[ROW][C]127[/C][C]50[/C][C]49.95[/C][C]0.0499999999999972[/C][/ROW]
[ROW][C]128[/C][C]88[/C][C]85.2608695652174[/C][C]2.73913043478261[/C][/ROW]
[ROW][C]129[/C][C]155[/C][C]165.285714285714[/C][C]-10.2857142857143[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]5.61538461538461[/C][C]-5.61538461538461[/C][/ROW]
[ROW][C]131[/C][C]36[/C][C]40.375[/C][C]-4.375[/C][/ROW]
[ROW][C]132[/C][C]123[/C][C]121.976744186047[/C][C]1.02325581395348[/C][/ROW]
[ROW][C]133[/C][C]32[/C][C]40.375[/C][C]-8.375[/C][/ROW]
[ROW][C]134[/C][C]99[/C][C]95[/C][C]4[/C][/ROW]
[ROW][C]135[/C][C]136[/C][C]141.407407407407[/C][C]-5.40740740740742[/C][/ROW]
[ROW][C]136[/C][C]117[/C][C]121.976744186047[/C][C]-4.97674418604652[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]5.61538461538461[/C][C]-5.61538461538461[/C][/ROW]
[ROW][C]138[/C][C]88[/C][C]85.2608695652174[/C][C]2.73913043478261[/C][/ROW]
[ROW][C]139[/C][C]39[/C][C]49.95[/C][C]-10.95[/C][/ROW]
[ROW][C]140[/C][C]25[/C][C]25.75[/C][C]-0.75[/C][/ROW]
[ROW][C]141[/C][C]52[/C][C]49.95[/C][C]2.05[/C][/ROW]
[ROW][C]142[/C][C]75[/C][C]76.0952380952381[/C][C]-1.0952380952381[/C][/ROW]
[ROW][C]143[/C][C]71[/C][C]70[/C][C]1[/C][/ROW]
[ROW][C]144[/C][C]124[/C][C]121.976744186047[/C][C]2.02325581395348[/C][/ROW]
[ROW][C]145[/C][C]151[/C][C]141.407407407407[/C][C]9.59259259259258[/C][/ROW]
[ROW][C]146[/C][C]71[/C][C]85.2608695652174[/C][C]-14.2608695652174[/C][/ROW]
[ROW][C]147[/C][C]145[/C][C]141.407407407407[/C][C]3.59259259259258[/C][/ROW]
[ROW][C]148[/C][C]87[/C][C]85.2608695652174[/C][C]1.73913043478261[/C][/ROW]
[ROW][C]149[/C][C]27[/C][C]25.75[/C][C]1.25[/C][/ROW]
[ROW][C]150[/C][C]131[/C][C]121.976744186047[/C][C]9.02325581395348[/C][/ROW]
[ROW][C]151[/C][C]162[/C][C]165.285714285714[/C][C]-3.28571428571428[/C][/ROW]
[ROW][C]152[/C][C]165[/C][C]165.285714285714[/C][C]-0.285714285714278[/C][/ROW]
[ROW][C]153[/C][C]54[/C][C]49.95[/C][C]4.05[/C][/ROW]
[ROW][C]154[/C][C]159[/C][C]165.285714285714[/C][C]-6.28571428571428[/C][/ROW]
[ROW][C]155[/C][C]147[/C][C]141.407407407407[/C][C]5.59259259259258[/C][/ROW]
[ROW][C]156[/C][C]170[/C][C]165.285714285714[/C][C]4.71428571428572[/C][/ROW]
[ROW][C]157[/C][C]119[/C][C]121.976744186047[/C][C]-2.97674418604652[/C][/ROW]
[ROW][C]158[/C][C]49[/C][C]49.95[/C][C]-0.950000000000003[/C][/ROW]
[ROW][C]159[/C][C]104[/C][C]109.03125[/C][C]-5.03125[/C][/ROW]
[ROW][C]160[/C][C]120[/C][C]121.976744186047[/C][C]-1.97674418604652[/C][/ROW]
[ROW][C]161[/C][C]150[/C][C]141.407407407407[/C][C]8.59259259259258[/C][/ROW]
[ROW][C]162[/C][C]112[/C][C]109.03125[/C][C]2.96875[/C][/ROW]
[ROW][C]163[/C][C]59[/C][C]63.0526315789474[/C][C]-4.05263157894737[/C][/ROW]
[ROW][C]164[/C][C]136[/C][C]141.407407407407[/C][C]-5.40740740740742[/C][/ROW]
[ROW][C]165[/C][C]107[/C][C]109.03125[/C][C]-2.03125[/C][/ROW]
[ROW][C]166[/C][C]130[/C][C]121.976744186047[/C][C]8.02325581395348[/C][/ROW]
[ROW][C]167[/C][C]115[/C][C]121.976744186047[/C][C]-6.97674418604652[/C][/ROW]
[ROW][C]168[/C][C]107[/C][C]109.03125[/C][C]-2.03125[/C][/ROW]
[ROW][C]169[/C][C]75[/C][C]76.0952380952381[/C][C]-1.0952380952381[/C][/ROW]
[ROW][C]170[/C][C]71[/C][C]70[/C][C]1[/C][/ROW]
[ROW][C]171[/C][C]120[/C][C]121.976744186047[/C][C]-1.97674418604652[/C][/ROW]
[ROW][C]172[/C][C]116[/C][C]121.976744186047[/C][C]-5.97674418604652[/C][/ROW]
[ROW][C]173[/C][C]79[/C][C]76.0952380952381[/C][C]2.9047619047619[/C][/ROW]
[ROW][C]174[/C][C]150[/C][C]141.407407407407[/C][C]8.59259259259258[/C][/ROW]
[ROW][C]175[/C][C]156[/C][C]165.285714285714[/C][C]-9.28571428571428[/C][/ROW]
[ROW][C]176[/C][C]51[/C][C]49.95[/C][C]1.05[/C][/ROW]
[ROW][C]177[/C][C]118[/C][C]121.976744186047[/C][C]-3.97674418604652[/C][/ROW]
[ROW][C]178[/C][C]71[/C][C]70[/C][C]1[/C][/ROW]
[ROW][C]179[/C][C]144[/C][C]141.407407407407[/C][C]2.59259259259258[/C][/ROW]
[ROW][C]180[/C][C]47[/C][C]49.95[/C][C]-2.95[/C][/ROW]
[ROW][C]181[/C][C]28[/C][C]25.75[/C][C]2.25[/C][/ROW]
[ROW][C]182[/C][C]68[/C][C]63.0526315789474[/C][C]4.94736842105263[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]5.61538461538461[/C][C]-5.61538461538461[/C][/ROW]
[ROW][C]184[/C][C]110[/C][C]109.03125[/C][C]0.96875[/C][/ROW]
[ROW][C]185[/C][C]147[/C][C]141.407407407407[/C][C]5.59259259259258[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]5.61538461538461[/C][C]-5.61538461538461[/C][/ROW]
[ROW][C]187[/C][C]15[/C][C]5.61538461538461[/C][C]9.38461538461539[/C][/ROW]
[ROW][C]188[/C][C]4[/C][C]5.61538461538461[/C][C]-1.61538461538461[/C][/ROW]
[ROW][C]189[/C][C]64[/C][C]63.0526315789474[/C][C]0.94736842105263[/C][/ROW]
[ROW][C]190[/C][C]111[/C][C]121.976744186047[/C][C]-10.9767441860465[/C][/ROW]
[ROW][C]191[/C][C]85[/C][C]85.2608695652174[/C][C]-0.260869565217391[/C][/ROW]
[ROW][C]192[/C][C]68[/C][C]63.0526315789474[/C][C]4.94736842105263[/C][/ROW]
[ROW][C]193[/C][C]40[/C][C]40.375[/C][C]-0.375[/C][/ROW]
[ROW][C]194[/C][C]80[/C][C]85.2608695652174[/C][C]-5.26086956521739[/C][/ROW]
[ROW][C]195[/C][C]88[/C][C]85.2608695652174[/C][C]2.73913043478261[/C][/ROW]
[ROW][C]196[/C][C]48[/C][C]40.375[/C][C]7.625[/C][/ROW]
[ROW][C]197[/C][C]76[/C][C]76.0952380952381[/C][C]-0.095238095238102[/C][/ROW]
[ROW][C]198[/C][C]51[/C][C]49.95[/C][C]1.05[/C][/ROW]
[ROW][C]199[/C][C]67[/C][C]63.0526315789474[/C][C]3.94736842105263[/C][/ROW]
[ROW][C]200[/C][C]59[/C][C]58.1111111111111[/C][C]0.888888888888886[/C][/ROW]
[ROW][C]201[/C][C]61[/C][C]63.0526315789474[/C][C]-2.05263157894737[/C][/ROW]
[ROW][C]202[/C][C]76[/C][C]85.2608695652174[/C][C]-9.26086956521739[/C][/ROW]
[ROW][C]203[/C][C]60[/C][C]58.1111111111111[/C][C]1.88888888888889[/C][/ROW]
[ROW][C]204[/C][C]68[/C][C]63.0526315789474[/C][C]4.94736842105263[/C][/ROW]
[ROW][C]205[/C][C]71[/C][C]70[/C][C]1[/C][/ROW]
[ROW][C]206[/C][C]76[/C][C]76.0952380952381[/C][C]-0.095238095238102[/C][/ROW]
[ROW][C]207[/C][C]62[/C][C]63.0526315789474[/C][C]-1.05263157894737[/C][/ROW]
[ROW][C]208[/C][C]61[/C][C]63.0526315789474[/C][C]-2.05263157894737[/C][/ROW]
[ROW][C]209[/C][C]67[/C][C]70[/C][C]-3[/C][/ROW]
[ROW][C]210[/C][C]88[/C][C]85.2608695652174[/C][C]2.73913043478261[/C][/ROW]
[ROW][C]211[/C][C]30[/C][C]25.75[/C][C]4.25[/C][/ROW]
[ROW][C]212[/C][C]64[/C][C]63.0526315789474[/C][C]0.94736842105263[/C][/ROW]
[ROW][C]213[/C][C]68[/C][C]70[/C][C]-2[/C][/ROW]
[ROW][C]214[/C][C]64[/C][C]63.0526315789474[/C][C]0.94736842105263[/C][/ROW]
[ROW][C]215[/C][C]91[/C][C]85.2608695652174[/C][C]5.73913043478261[/C][/ROW]
[ROW][C]216[/C][C]88[/C][C]85.2608695652174[/C][C]2.73913043478261[/C][/ROW]
[ROW][C]217[/C][C]52[/C][C]49.95[/C][C]2.05[/C][/ROW]
[ROW][C]218[/C][C]49[/C][C]49.95[/C][C]-0.950000000000003[/C][/ROW]
[ROW][C]219[/C][C]62[/C][C]63.0526315789474[/C][C]-1.05263157894737[/C][/ROW]
[ROW][C]220[/C][C]61[/C][C]63.0526315789474[/C][C]-2.05263157894737[/C][/ROW]
[ROW][C]221[/C][C]76[/C][C]76.0952380952381[/C][C]-0.095238095238102[/C][/ROW]
[ROW][C]222[/C][C]88[/C][C]85.2608695652174[/C][C]2.73913043478261[/C][/ROW]
[ROW][C]223[/C][C]66[/C][C]63.0526315789474[/C][C]2.94736842105263[/C][/ROW]
[ROW][C]224[/C][C]71[/C][C]70[/C][C]1[/C][/ROW]
[ROW][C]225[/C][C]68[/C][C]63.0526315789474[/C][C]4.94736842105263[/C][/ROW]
[ROW][C]226[/C][C]48[/C][C]40.375[/C][C]7.625[/C][/ROW]
[ROW][C]227[/C][C]25[/C][C]25.75[/C][C]-0.75[/C][/ROW]
[ROW][C]228[/C][C]68[/C][C]63.0526315789474[/C][C]4.94736842105263[/C][/ROW]
[ROW][C]229[/C][C]41[/C][C]49.95[/C][C]-8.95[/C][/ROW]
[ROW][C]230[/C][C]90[/C][C]85.2608695652174[/C][C]4.73913043478261[/C][/ROW]
[ROW][C]231[/C][C]66[/C][C]63.0526315789474[/C][C]2.94736842105263[/C][/ROW]
[ROW][C]232[/C][C]54[/C][C]49.95[/C][C]4.05[/C][/ROW]
[ROW][C]233[/C][C]59[/C][C]58.1111111111111[/C][C]0.888888888888886[/C][/ROW]
[ROW][C]234[/C][C]60[/C][C]63.0526315789474[/C][C]-3.05263157894737[/C][/ROW]
[ROW][C]235[/C][C]77[/C][C]76.0952380952381[/C][C]0.904761904761898[/C][/ROW]
[ROW][C]236[/C][C]68[/C][C]70[/C][C]-2[/C][/ROW]
[ROW][C]237[/C][C]72[/C][C]70[/C][C]2[/C][/ROW]
[ROW][C]238[/C][C]67[/C][C]63.0526315789474[/C][C]3.94736842105263[/C][/ROW]
[ROW][C]239[/C][C]64[/C][C]63.0526315789474[/C][C]0.94736842105263[/C][/ROW]
[ROW][C]240[/C][C]63[/C][C]63.0526315789474[/C][C]-0.0526315789473699[/C][/ROW]
[ROW][C]241[/C][C]59[/C][C]58.1111111111111[/C][C]0.888888888888886[/C][/ROW]
[ROW][C]242[/C][C]84[/C][C]76.0952380952381[/C][C]7.9047619047619[/C][/ROW]
[ROW][C]243[/C][C]64[/C][C]63.0526315789474[/C][C]0.94736842105263[/C][/ROW]
[ROW][C]244[/C][C]56[/C][C]49.95[/C][C]6.05[/C][/ROW]
[ROW][C]245[/C][C]54[/C][C]58.1111111111111[/C][C]-4.11111111111111[/C][/ROW]
[ROW][C]246[/C][C]67[/C][C]63.0526315789474[/C][C]3.94736842105263[/C][/ROW]
[ROW][C]247[/C][C]58[/C][C]58.1111111111111[/C][C]-0.111111111111114[/C][/ROW]
[ROW][C]248[/C][C]59[/C][C]58.1111111111111[/C][C]0.888888888888886[/C][/ROW]
[ROW][C]249[/C][C]40[/C][C]40.375[/C][C]-0.375[/C][/ROW]
[ROW][C]250[/C][C]22[/C][C]25.75[/C][C]-3.75[/C][/ROW]
[ROW][C]251[/C][C]83[/C][C]85.2608695652174[/C][C]-2.26086956521739[/C][/ROW]
[ROW][C]252[/C][C]81[/C][C]76.0952380952381[/C][C]4.9047619047619[/C][/ROW]
[ROW][C]253[/C][C]2[/C][C]5.61538461538461[/C][C]-3.61538461538461[/C][/ROW]
[ROW][C]254[/C][C]72[/C][C]70[/C][C]2[/C][/ROW]
[ROW][C]255[/C][C]61[/C][C]63.0526315789474[/C][C]-2.05263157894737[/C][/ROW]
[ROW][C]256[/C][C]15[/C][C]5.61538461538461[/C][C]9.38461538461539[/C][/ROW]
[ROW][C]257[/C][C]32[/C][C]40.375[/C][C]-8.375[/C][/ROW]
[ROW][C]258[/C][C]62[/C][C]63.0526315789474[/C][C]-1.05263157894737[/C][/ROW]
[ROW][C]259[/C][C]58[/C][C]63.0526315789474[/C][C]-5.05263157894737[/C][/ROW]
[ROW][C]260[/C][C]36[/C][C]40.375[/C][C]-4.375[/C][/ROW]
[ROW][C]261[/C][C]59[/C][C]63.0526315789474[/C][C]-4.05263157894737[/C][/ROW]
[ROW][C]262[/C][C]68[/C][C]63.0526315789474[/C][C]4.94736842105263[/C][/ROW]
[ROW][C]263[/C][C]21[/C][C]25.75[/C][C]-4.75[/C][/ROW]
[ROW][C]264[/C][C]55[/C][C]58.1111111111111[/C][C]-3.11111111111111[/C][/ROW]
[ROW][C]265[/C][C]54[/C][C]49.95[/C][C]4.05[/C][/ROW]
[ROW][C]266[/C][C]55[/C][C]49.95[/C][C]5.05[/C][/ROW]
[ROW][C]267[/C][C]72[/C][C]70[/C][C]2[/C][/ROW]
[ROW][C]268[/C][C]41[/C][C]40.375[/C][C]0.625[/C][/ROW]
[ROW][C]269[/C][C]61[/C][C]63.0526315789474[/C][C]-2.05263157894737[/C][/ROW]
[ROW][C]270[/C][C]67[/C][C]76.0952380952381[/C][C]-9.0952380952381[/C][/ROW]
[ROW][C]271[/C][C]76[/C][C]76.0952380952381[/C][C]-0.095238095238102[/C][/ROW]
[ROW][C]272[/C][C]64[/C][C]63.0526315789474[/C][C]0.94736842105263[/C][/ROW]
[ROW][C]273[/C][C]3[/C][C]5.61538461538461[/C][C]-2.61538461538461[/C][/ROW]
[ROW][C]274[/C][C]63[/C][C]63.0526315789474[/C][C]-0.0526315789473699[/C][/ROW]
[ROW][C]275[/C][C]40[/C][C]40.375[/C][C]-0.375[/C][/ROW]
[ROW][C]276[/C][C]69[/C][C]76.0952380952381[/C][C]-7.0952380952381[/C][/ROW]
[ROW][C]277[/C][C]48[/C][C]40.375[/C][C]7.625[/C][/ROW]
[ROW][C]278[/C][C]8[/C][C]5.61538461538461[/C][C]2.38461538461539[/C][/ROW]
[ROW][C]279[/C][C]52[/C][C]49.95[/C][C]2.05[/C][/ROW]
[ROW][C]280[/C][C]66[/C][C]63.0526315789474[/C][C]2.94736842105263[/C][/ROW]
[ROW][C]281[/C][C]76[/C][C]76.0952380952381[/C][C]-0.095238095238102[/C][/ROW]
[ROW][C]282[/C][C]43[/C][C]49.95[/C][C]-6.95[/C][/ROW]
[ROW][C]283[/C][C]39[/C][C]40.375[/C][C]-1.375[/C][/ROW]
[ROW][C]284[/C][C]14[/C][C]5.61538461538461[/C][C]8.38461538461539[/C][/ROW]
[ROW][C]285[/C][C]61[/C][C]63.0526315789474[/C][C]-2.05263157894737[/C][/ROW]
[ROW][C]286[/C][C]71[/C][C]76.0952380952381[/C][C]-5.0952380952381[/C][/ROW]
[ROW][C]287[/C][C]44[/C][C]40.375[/C][C]3.625[/C][/ROW]
[ROW][C]288[/C][C]60[/C][C]58.1111111111111[/C][C]1.88888888888889[/C][/ROW]
[ROW][C]289[/C][C]64[/C][C]63.0526315789474[/C][C]0.94736842105263[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197687&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197687&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
#	Actuals	Forecasts	Residuals
1	115	109.03125	5.96875
2	109	109.03125	-0.03125
3	146	141.407407407407	4.59259259259258
4	116	109.03125	6.96875
5	68	85.2608695652174	-17.2608695652174
6	101	95	6
7	96	95	1
8	67	70	-3
9	44	40.375	3.625
10	100	95	5
11	93	95	-2
12	140	141.407407407407	-1.40740740740742
13	166	165.285714285714	0.714285714285722
14	99	109.03125	-10.03125
15	139	141.407407407407	-2.40740740740742
16	130	121.976744186047	8.02325581395348
17	181	165.285714285714	15.7142857142857
18	116	109.03125	6.96875
19	116	121.976744186047	-5.97674418604652
20	88	85.2608695652174	2.73913043478261
21	139	141.407407407407	-2.40740740740742
22	135	141.407407407407	-6.40740740740742
23	108	109.03125	-1.03125
24	89	95	-6
25	156	141.407407407407	14.5925925925926
26	129	121.976744186047	7.02325581395348
27	118	121.976744186047	-3.97674418604652
28	118	121.976744186047	-3.97674418604652
29	125	121.976744186047	3.02325581395348
30	95	95	0
31	126	121.976744186047	4.02325581395348
32	135	121.976744186047	13.0232558139535
33	154	165.285714285714	-11.2857142857143
34	165	165.285714285714	-0.285714285714278
35	113	109.03125	3.96875
36	127	121.976744186047	5.02325581395348
37	52	49.95	2.05
38	121	121.976744186047	-0.976744186046517
39	136	141.407407407407	-5.40740740740742
40	0	5.61538461538461	-5.61538461538461
41	108	109.03125	-1.03125
42	46	49.95	-3.95
43	54	63.0526315789474	-9.05263157894737
44	124	121.976744186047	2.02325581395348
45	115	109.03125	5.96875
46	128	121.976744186047	6.02325581395348
47	80	76.0952380952381	3.9047619047619
48	97	109.03125	-12.03125
49	104	109.03125	-5.03125
50	59	141.407407407407	-82.4074074074074
51	125	121.976744186047	3.02325581395348
52	82	95	-13
53	149	141.407407407407	7.59259259259258
54	149	141.407407407407	7.59259259259258
55	122	121.976744186047	0.0232558139534831
56	118	109.03125	8.96875
57	12	5.61538461538461	6.38461538461539
58	144	141.407407407407	2.59259259259258
59	67	70	-3
60	52	49.95	2.05
61	108	109.03125	-1.03125
62	166	165.285714285714	0.714285714285722
63	80	76.0952380952381	3.9047619047619
64	60	63.0526315789474	-3.05263157894737
65	107	109.03125	-2.03125
66	127	121.976744186047	5.02325581395348
67	107	109.03125	-2.03125
68	146	141.407407407407	4.59259259259258
69	84	85.2608695652174	-1.26086956521739
70	141	141.407407407407	-0.407407407407419
71	123	121.976744186047	1.02325581395348
72	111	109.03125	1.96875
73	98	95	3
74	105	109.03125	-4.03125
75	135	141.407407407407	-6.40740740740742
76	107	109.03125	-2.03125
77	85	85.2608695652174	-0.260869565217391
78	155	141.407407407407	13.5925925925926
79	88	85.2608695652174	2.73913043478261
80	155	141.407407407407	13.5925925925926
81	104	109.03125	-5.03125
82	132	121.976744186047	10.0232558139535
83	127	121.976744186047	5.02325581395348
84	108	109.03125	-1.03125
85	129	121.976744186047	7.02325581395348
86	116	109.03125	6.96875
87	122	121.976744186047	0.0232558139534831
88	85	85.2608695652174	-0.260869565217391
89	147	141.407407407407	5.59259259259258
90	99	95	4
91	87	121.976744186047	-34.9767441860465
92	28	25.75	2.25
93	90	85.2608695652174	4.73913043478261
94	109	109.03125	-0.03125
95	78	76.0952380952381	1.9047619047619
96	111	109.03125	1.96875
97	158	165.285714285714	-7.28571428571428
98	141	141.407407407407	-0.407407407407419
99	122	121.976744186047	0.0232558139534831
100	124	121.976744186047	2.02325581395348
101	93	95	-2
102	124	121.976744186047	2.02325581395348
103	112	109.03125	2.96875
104	108	109.03125	-1.03125
105	99	109.03125	-10.03125
106	117	121.976744186047	-4.97674418604652
107	199	165.285714285714	33.7142857142857
108	78	76.0952380952381	1.9047619047619
109	91	85.2608695652174	5.73913043478261
110	158	165.285714285714	-7.28571428571428
111	126	121.976744186047	4.02325581395348
112	122	121.976744186047	0.0232558139534831
113	71	76.0952380952381	-5.0952380952381
114	75	76.0952380952381	-1.0952380952381
115	115	121.976744186047	-6.97674418604652
116	119	121.976744186047	-2.97674418604652
117	124	121.976744186047	2.02325581395348
118	72	70	2
119	91	85.2608695652174	5.73913043478261
120	45	63.0526315789474	-18.0526315789474
121	78	76.0952380952381	1.9047619047619
122	39	40.375	-1.375
123	68	63.0526315789474	4.94736842105263
124	119	109.03125	9.96875
125	117	121.976744186047	-4.97674418604652
126	39	40.375	-1.375
127	50	49.95	0.0499999999999972
128	88	85.2608695652174	2.73913043478261
129	155	165.285714285714	-10.2857142857143
130	0	5.61538461538461	-5.61538461538461
131	36	40.375	-4.375
132	123	121.976744186047	1.02325581395348
133	32	40.375	-8.375
134	99	95	4
135	136	141.407407407407	-5.40740740740742
136	117	121.976744186047	-4.97674418604652
137	0	5.61538461538461	-5.61538461538461
138	88	85.2608695652174	2.73913043478261
139	39	49.95	-10.95
140	25	25.75	-0.75
141	52	49.95	2.05
142	75	76.0952380952381	-1.0952380952381
143	71	70	1
144	124	121.976744186047	2.02325581395348
145	151	141.407407407407	9.59259259259258
146	71	85.2608695652174	-14.2608695652174
147	145	141.407407407407	3.59259259259258
148	87	85.2608695652174	1.73913043478261
149	27	25.75	1.25
150	131	121.976744186047	9.02325581395348
151	162	165.285714285714	-3.28571428571428
152	165	165.285714285714	-0.285714285714278
153	54	49.95	4.05
154	159	165.285714285714	-6.28571428571428
155	147	141.407407407407	5.59259259259258
156	170	165.285714285714	4.71428571428572
157	119	121.976744186047	-2.97674418604652
158	49	49.95	-0.950000000000003
159	104	109.03125	-5.03125
160	120	121.976744186047	-1.97674418604652
161	150	141.407407407407	8.59259259259258
162	112	109.03125	2.96875
163	59	63.0526315789474	-4.05263157894737
164	136	141.407407407407	-5.40740740740742
165	107	109.03125	-2.03125
166	130	121.976744186047	8.02325581395348
167	115	121.976744186047	-6.97674418604652
168	107	109.03125	-2.03125
169	75	76.0952380952381	-1.0952380952381
170	71	70	1
171	120	121.976744186047	-1.97674418604652
172	116	121.976744186047	-5.97674418604652
173	79	76.0952380952381	2.9047619047619
174	150	141.407407407407	8.59259259259258
175	156	165.285714285714	-9.28571428571428
176	51	49.95	1.05
177	118	121.976744186047	-3.97674418604652
178	71	70	1
179	144	141.407407407407	2.59259259259258
180	47	49.95	-2.95
181	28	25.75	2.25
182	68	63.0526315789474	4.94736842105263
183	0	5.61538461538461	-5.61538461538461
184	110	109.03125	0.96875
185	147	141.407407407407	5.59259259259258
186	0	5.61538461538461	-5.61538461538461
187	15	5.61538461538461	9.38461538461539
188	4	5.61538461538461	-1.61538461538461
189	64	63.0526315789474	0.94736842105263
190	111	121.976744186047	-10.9767441860465
191	85	85.2608695652174	-0.260869565217391
192	68	63.0526315789474	4.94736842105263
193	40	40.375	-0.375
194	80	85.2608695652174	-5.26086956521739
195	88	85.2608695652174	2.73913043478261
196	48	40.375	7.625
197	76	76.0952380952381	-0.095238095238102
198	51	49.95	1.05
199	67	63.0526315789474	3.94736842105263
200	59	58.1111111111111	0.888888888888886
201	61	63.0526315789474	-2.05263157894737
202	76	85.2608695652174	-9.26086956521739
203	60	58.1111111111111	1.88888888888889
204	68	63.0526315789474	4.94736842105263
205	71	70	1
206	76	76.0952380952381	-0.095238095238102
207	62	63.0526315789474	-1.05263157894737
208	61	63.0526315789474	-2.05263157894737
209	67	70	-3
210	88	85.2608695652174	2.73913043478261
211	30	25.75	4.25
212	64	63.0526315789474	0.94736842105263
213	68	70	-2
214	64	63.0526315789474	0.94736842105263
215	91	85.2608695652174	5.73913043478261
216	88	85.2608695652174	2.73913043478261
217	52	49.95	2.05
218	49	49.95	-0.950000000000003
219	62	63.0526315789474	-1.05263157894737
220	61	63.0526315789474	-2.05263157894737
221	76	76.0952380952381	-0.095238095238102
222	88	85.2608695652174	2.73913043478261
223	66	63.0526315789474	2.94736842105263
224	71	70	1
225	68	63.0526315789474	4.94736842105263
226	48	40.375	7.625
227	25	25.75	-0.75
228	68	63.0526315789474	4.94736842105263
229	41	49.95	-8.95
230	90	85.2608695652174	4.73913043478261
231	66	63.0526315789474	2.94736842105263
232	54	49.95	4.05
233	59	58.1111111111111	0.888888888888886
234	60	63.0526315789474	-3.05263157894737
235	77	76.0952380952381	0.904761904761898
236	68	70	-2
237	72	70	2
238	67	63.0526315789474	3.94736842105263
239	64	63.0526315789474	0.94736842105263
240	63	63.0526315789474	-0.0526315789473699
241	59	58.1111111111111	0.888888888888886
242	84	76.0952380952381	7.9047619047619
243	64	63.0526315789474	0.94736842105263
244	56	49.95	6.05
245	54	58.1111111111111	-4.11111111111111
246	67	63.0526315789474	3.94736842105263
247	58	58.1111111111111	-0.111111111111114
248	59	58.1111111111111	0.888888888888886
249	40	40.375	-0.375
250	22	25.75	-3.75
251	83	85.2608695652174	-2.26086956521739
252	81	76.0952380952381	4.9047619047619
253	2	5.61538461538461	-3.61538461538461
254	72	70	2
255	61	63.0526315789474	-2.05263157894737
256	15	5.61538461538461	9.38461538461539
257	32	40.375	-8.375
258	62	63.0526315789474	-1.05263157894737
259	58	63.0526315789474	-5.05263157894737
260	36	40.375	-4.375
261	59	63.0526315789474	-4.05263157894737
262	68	63.0526315789474	4.94736842105263
263	21	25.75	-4.75
264	55	58.1111111111111	-3.11111111111111
265	54	49.95	4.05
266	55	49.95	5.05
267	72	70	2
268	41	40.375	0.625
269	61	63.0526315789474	-2.05263157894737
270	67	76.0952380952381	-9.0952380952381
271	76	76.0952380952381	-0.095238095238102
272	64	63.0526315789474	0.94736842105263
273	3	5.61538461538461	-2.61538461538461
274	63	63.0526315789474	-0.0526315789473699
275	40	40.375	-0.375
276	69	76.0952380952381	-7.0952380952381
277	48	40.375	7.625
278	8	5.61538461538461	2.38461538461539
279	52	49.95	2.05
280	66	63.0526315789474	2.94736842105263
281	76	76.0952380952381	-0.095238095238102
282	43	49.95	-6.95
283	39	40.375	-1.375
284	14	5.61538461538461	8.38461538461539
285	61	63.0526315789474	-2.05263157894737
286	71	76.0952380952381	-5.0952380952381
287	44	40.375	3.625
288	60	58.1111111111111	1.88888888888889
289	64	63.0526315789474	0.94736842105263

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = pearson ;

Parameters (R input):

par1 = 9 ; par2 = none ; par3 = ; 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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code