Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

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

Wed, 21 Dec 2011 13:21:23 -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/2011/Dec/21/t13244917058r1s0bk82auqv12.htm/, Retrieved Tue, 07 May 2024 20:34:04 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158929, Retrieved Tue, 07 May 2024 20:34:04 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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]
-   PD  [Recursive Partitioning (Regression Trees)] [WS 10 - recursive...] [2010-12-11 16:07:41] [033eb2749a430605d9b2be7c4aac4a0c]
-         [Recursive Partitioning (Regression Trees)] [] [2010-12-13 18:24:09] [d7b28a0391ab3b2ddc9f9fba95a43f33]
-           [Recursive Partitioning (Regression Trees)] [] [2010-12-25 21:51:47] [2e1e44f0ae3cb9513dc28781dfdb387b]
- RMPD        [Kendall tau Correlation Matrix] [] [2011-12-21 12:41:38] [a90f9476280cfbc76b67d22532268624]
- RMPD            [Recursive Partitioning (Regression Trees)] [] [2011-12-21 18:21:23] [5a15ab6cc81a4d08ac9d21b238bcb336] [Current]
-   P               [Recursive Partitioning (Regression Trees)] [] [2011-12-22 15:42:00] [a90f9476280cfbc76b67d22532268624] 

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	6 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 & 6 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158929&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]6 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=158929&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158929&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	6 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Goodness of Fit
Correlation	0.774
R-squared	0.5991
RMSE	21.4087

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.774 \tabularnewline
R-squared & 0.5991 \tabularnewline
RMSE & 21.4087 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158929&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.774[/C][/ROW]
[ROW][C]R-squared[/C][C]0.5991[/C][/ROW]
[ROW][C]RMSE[/C][C]21.4087[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158929&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158929&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	0.774
R-squared	0.5991
RMSE	21.4087

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	56	52.7321428571429	3.26785714285715
2	56	43.9444444444444	12.0555555555556
3	54	66.3783783783784	-12.3783783783784
4	89	106.658536585366	-17.6585365853659
5	40	43.9444444444444	-3.94444444444444
6	25	22.36	2.64
7	92	106.658536585366	-14.6585365853659
8	18	11.8	6.2
9	63	52.7321428571429	10.2678571428571
10	44	66.3783783783784	-22.3783783783784
11	33	52.7321428571429	-19.7321428571429
12	84	66.3783783783784	17.6216216216216
13	88	66.3783783783784	21.6216216216216
14	55	52.7321428571429	2.26785714285715
15	60	106.658536585366	-46.6585365853659
16	66	66.3783783783784	-0.378378378378372
17	154	106.658536585366	47.3414634146341
18	53	66.3783783783784	-13.3783783783784
19	119	106.658536585366	12.3414634146341
20	41	43.9444444444444	-2.94444444444444
21	61	66.3783783783784	-5.37837837837837
22	58	66.3783783783784	-8.37837837837837
23	75	106.658536585366	-31.6585365853659
24	33	52.7321428571429	-19.7321428571429
25	40	52.7321428571429	-12.7321428571429
26	92	106.658536585366	-14.6585365853659
27	100	106.658536585366	-6.65853658536585
28	112	106.658536585366	5.34146341463415
29	73	66.3783783783784	6.62162162162163
30	40	52.7321428571429	-12.7321428571429
31	45	66.3783783783784	-21.3783783783784
32	60	66.3783783783784	-6.37837837837837
33	62	66.3783783783784	-4.37837837837837
34	75	66.3783783783784	8.62162162162163
35	31	33.1076923076923	-2.10769230769231
36	77	106.658536585366	-29.6585365853659
37	34	43.9444444444444	-9.94444444444444
38	46	66.3783783783784	-20.3783783783784
39	99	106.658536585366	-7.65853658536585
40	17	11.8	5.2
41	66	66.3783783783784	-0.378378378378372
42	30	43.9444444444444	-13.9444444444444
43	76	66.3783783783784	9.62162162162163
44	146	106.658536585366	39.3414634146341
45	67	106.658536585366	-39.6585365853659
46	56	52.7321428571429	3.26785714285715
47	107	106.658536585366	0.341463414634148
48	58	52.7321428571429	5.26785714285715
49	34	43.9444444444444	-9.94444444444444
50	61	66.3783783783784	-5.37837837837837
51	119	106.658536585366	12.3414634146341
52	42	33.1076923076923	8.89230769230769
53	66	66.3783783783784	-0.378378378378372
54	89	106.658536585366	-17.6585365853659
55	44	66.3783783783784	-22.3783783783784
56	66	52.7321428571429	13.2678571428571
57	24	22.36	1.64
58	259	106.658536585366	152.341463414634
59	17	33.1076923076923	-16.1076923076923
60	64	43.9444444444444	20.0555555555556
61	41	106.658536585366	-65.6585365853659
62	68	66.3783783783784	1.62162162162163
63	168	106.658536585366	61.3414634146341
64	43	43.9444444444444	-0.944444444444443
65	132	106.658536585366	25.3414634146341
66	105	66.3783783783784	38.6216216216216
67	71	66.3783783783784	4.62162162162163
68	112	106.658536585366	5.34146341463415
69	94	106.658536585366	-12.6585365853659
70	82	66.3783783783784	15.6216216216216
71	70	66.3783783783784	3.62162162162163
72	57	52.7321428571429	4.26785714285715
73	53	52.7321428571429	0.267857142857146
74	103	66.3783783783784	36.6216216216216
75	121	106.658536585366	14.3414634146341
76	62	66.3783783783784	-4.37837837837837
77	52	52.7321428571429	-0.732142857142854
78	52	66.3783783783784	-14.3783783783784
79	32	33.1076923076923	-1.10769230769231
80	62	66.3783783783784	-4.37837837837837
81	45	52.7321428571429	-7.73214285714285
82	46	52.7321428571429	-6.73214285714285
83	63	66.3783783783784	-3.37837837837837
84	75	66.3783783783784	8.62162162162163
85	88	66.3783783783784	21.6216216216216
86	46	52.7321428571429	-6.73214285714285
87	53	52.7321428571429	0.267857142857146
88	37	52.7321428571429	-15.7321428571429
89	90	106.658536585366	-16.6585365853659
90	63	52.7321428571429	10.2678571428571
91	78	66.3783783783784	11.6216216216216
92	25	33.1076923076923	-8.10769230769231
93	45	66.3783783783784	-21.3783783783784
94	46	43.9444444444444	2.05555555555556
95	41	43.9444444444444	-2.94444444444444
96	144	106.658536585366	37.3414634146341
97	82	66.3783783783784	15.6216216216216
98	91	106.658536585366	-15.6585365853659
99	71	66.3783783783784	4.62162162162163
100	63	66.3783783783784	-3.37837837837837
101	53	52.7321428571429	0.267857142857146
102	62	106.658536585366	-44.6585365853659
103	63	66.3783783783784	-3.37837837837837
104	32	52.7321428571429	-20.7321428571429
105	39	52.7321428571429	-13.7321428571429
106	62	66.3783783783784	-4.37837837837837
107	117	106.658536585366	10.3414634146341
108	34	52.7321428571429	-18.7321428571429
109	92	106.658536585366	-14.6585365853659
110	93	66.3783783783784	26.6216216216216
111	54	66.3783783783784	-12.3783783783784
112	144	52.7321428571429	91.2678571428571
113	14	22.36	-8.36
114	61	66.3783783783784	-5.37837837837837
115	109	66.3783783783784	42.6216216216216
116	38	66.3783783783784	-28.3783783783784
117	73	66.3783783783784	6.62162162162163
118	75	66.3783783783784	8.62162162162163
119	50	43.9444444444444	6.05555555555556
120	61	66.3783783783784	-5.37837837837837
121	55	66.3783783783784	-11.3783783783784
122	77	52.7321428571429	24.2678571428571
123	75	66.3783783783784	8.62162162162163
124	72	52.7321428571429	19.2678571428571
125	50	52.7321428571429	-2.73214285714285
126	32	33.1076923076923	-1.10769230769231
127	53	43.9444444444444	9.05555555555556
128	42	52.7321428571429	-10.7321428571429
129	71	66.3783783783784	4.62162162162163
130	10	11.8	-1.8
131	35	33.1076923076923	1.89230769230769
132	65	66.3783783783784	-1.37837837837837
133	25	22.36	2.64
134	66	66.3783783783784	-0.378378378378372
135	41	52.7321428571429	-11.7321428571429
136	86	106.658536585366	-20.6585365853659
137	16	11.8	4.2
138	42	66.3783783783784	-24.3783783783784
139	19	22.36	-3.36
140	19	22.36	-3.36
141	45	33.1076923076923	11.8923076923077
142	65	66.3783783783784	-1.37837837837837
143	35	33.1076923076923	1.89230769230769
144	95	106.658536585366	-11.6585365853659
145	49	66.3783783783784	-17.3783783783784
146	37	66.3783783783784	-29.3783783783784
147	64	52.7321428571429	11.2678571428571
148	38	33.1076923076923	4.89230769230769
149	34	22.36	11.64
150	32	52.7321428571429	-20.7321428571429
151	65	106.658536585366	-41.6585365853659
152	52	43.9444444444444	8.05555555555556
153	62	52.7321428571429	9.26785714285715
154	65	106.658536585366	-41.6585365853659
155	83	66.3783783783784	16.6216216216216
156	95	106.658536585366	-11.6585365853659
157	29	43.9444444444444	-14.9444444444444
158	18	33.1076923076923	-15.1076923076923
159	33	33.1076923076923	-0.107692307692311
160	247	106.658536585366	140.341463414634
161	139	106.658536585366	32.3414634146341
162	29	33.1076923076923	-4.10769230769231
163	118	52.7321428571429	65.2678571428571
164	110	106.658536585366	3.34146341463415
165	67	66.3783783783784	0.621621621621628
166	42	52.7321428571429	-10.7321428571429
167	65	66.3783783783784	-1.37837837837837
168	94	52.7321428571429	41.2678571428571
169	64	43.9444444444444	20.0555555555556
170	81	66.3783783783784	14.6216216216216
171	95	106.658536585366	-11.6585365853659
172	67	66.3783783783784	0.621621621621628
173	63	66.3783783783784	-3.37837837837837
174	83	106.658536585366	-23.6585365853659
175	45	52.7321428571429	-7.73214285714285
176	30	66.3783783783784	-36.3783783783784
177	70	106.658536585366	-36.6585365853659
178	32	33.1076923076923	-1.10769230769231
179	83	66.3783783783784	16.6216216216216
180	31	52.7321428571429	-21.7321428571429
181	67	52.7321428571429	14.2678571428571
182	66	66.3783783783784	-0.378378378378372
183	10	11.8	-1.8
184	70	66.3783783783784	3.62162162162163
185	103	106.658536585366	-3.65853658536585
186	5	11.8	-6.8
187	20	22.36	-2.36
188	5	11.8	-6.8
189	36	66.3783783783784	-30.3783783783784
190	34	33.1076923076923	0.892307692307689
191	48	52.7321428571429	-4.73214285714285
192	40	33.1076923076923	6.89230769230769
193	43	52.7321428571429	-9.73214285714285
194	31	52.7321428571429	-21.7321428571429
195	42	52.7321428571429	-10.7321428571429
196	46	52.7321428571429	-6.73214285714285
197	33	33.1076923076923	-0.107692307692311
198	18	22.36	-4.36
199	55	52.7321428571429	2.26785714285715
200	35	33.1076923076923	1.89230769230769
201	59	33.1076923076923	25.8923076923077
202	19	22.36	-3.36
203	66	52.7321428571429	13.2678571428571
204	60	52.7321428571429	7.26785714285715
205	36	66.3783783783784	-30.3783783783784
206	25	22.36	2.64
207	47	33.1076923076923	13.8923076923077
208	54	66.3783783783784	-12.3783783783784
209	53	52.7321428571429	0.267857142857146
210	40	52.7321428571429	-12.7321428571429
211	40	52.7321428571429	-12.7321428571429
212	39	52.7321428571429	-13.7321428571429
213	14	22.36	-8.36
214	45	33.1076923076923	11.8923076923077
215	36	33.1076923076923	2.89230769230769
216	28	33.1076923076923	-5.10769230769231
217	44	33.1076923076923	10.8923076923077
218	30	33.1076923076923	-3.10769230769231
219	22	33.1076923076923	-11.1076923076923
220	17	22.36	-5.36
221	31	33.1076923076923	-2.10769230769231
222	55	66.3783783783784	-11.3783783783784
223	54	66.3783783783784	-12.3783783783784
224	21	33.1076923076923	-12.1076923076923
225	14	11.8	2.2
226	81	66.3783783783784	14.6216216216216
227	35	33.1076923076923	1.89230769230769
228	43	33.1076923076923	9.89230769230769
229	46	52.7321428571429	-6.73214285714285
230	30	52.7321428571429	-22.7321428571429
231	23	22.36	0.640000000000001
232	38	33.1076923076923	4.89230769230769
233	54	52.7321428571429	1.26785714285715
234	20	33.1076923076923	-13.1076923076923
235	53	33.1076923076923	19.8923076923077
236	45	33.1076923076923	11.8923076923077
237	39	52.7321428571429	-13.7321428571429
238	20	33.1076923076923	-13.1076923076923
239	24	33.1076923076923	-9.10769230769231
240	31	22.36	8.64
241	35	33.1076923076923	1.89230769230769
242	151	66.3783783783784	84.6216216216216
243	52	33.1076923076923	18.8923076923077
244	30	22.36	7.64
245	31	33.1076923076923	-2.10769230769231
246	29	33.1076923076923	-4.10769230769231
247	57	66.3783783783784	-9.37837837837837
248	40	33.1076923076923	6.89230769230769
249	44	33.1076923076923	10.8923076923077
250	25	22.36	2.64
251	77	66.3783783783784	10.6216216216216
252	35	43.9444444444444	-8.94444444444444
253	11	11.8	-0.800000000000001
254	63	52.7321428571429	10.2678571428571
255	44	33.1076923076923	10.8923076923077
256	19	22.36	-3.36
257	13	22.36	-9.36
258	42	33.1076923076923	8.89230769230769
259	38	22.36	15.64
260	29	22.36	6.64
261	20	22.36	-2.36
262	27	33.1076923076923	-6.10769230769231
263	20	22.36	-2.36
264	19	33.1076923076923	-14.1076923076923
265	37	33.1076923076923	3.89230769230769
266	26	33.1076923076923	-7.10769230769231
267	42	33.1076923076923	8.89230769230769
268	49	33.1076923076923	15.8923076923077
269	30	43.9444444444444	-13.9444444444444
270	49	33.1076923076923	15.8923076923077
271	67	52.7321428571429	14.2678571428571
272	28	33.1076923076923	-5.10769230769231
273	19	33.1076923076923	-14.1076923076923
274	49	43.9444444444444	5.05555555555556
275	27	33.1076923076923	-6.10769230769231
276	30	33.1076923076923	-3.10769230769231
277	22	22.36	-0.359999999999999
278	12	11.8	0.199999999999999
279	31	33.1076923076923	-2.10769230769231
280	20	33.1076923076923	-13.1076923076923
281	20	33.1076923076923	-13.1076923076923
282	39	33.1076923076923	5.89230769230769
283	29	33.1076923076923	-4.10769230769231
284	16	22.36	-6.36
285	27	33.1076923076923	-6.10769230769231
286	21	33.1076923076923	-12.1076923076923
287	19	33.1076923076923	-14.1076923076923
288	35	33.1076923076923	1.89230769230769
289	14	33.1076923076923	-19.1076923076923

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 56 & 52.7321428571429 & 3.26785714285715 \tabularnewline
2 & 56 & 43.9444444444444 & 12.0555555555556 \tabularnewline
3 & 54 & 66.3783783783784 & -12.3783783783784 \tabularnewline
4 & 89 & 106.658536585366 & -17.6585365853659 \tabularnewline
5 & 40 & 43.9444444444444 & -3.94444444444444 \tabularnewline
6 & 25 & 22.36 & 2.64 \tabularnewline
7 & 92 & 106.658536585366 & -14.6585365853659 \tabularnewline
8 & 18 & 11.8 & 6.2 \tabularnewline
9 & 63 & 52.7321428571429 & 10.2678571428571 \tabularnewline
10 & 44 & 66.3783783783784 & -22.3783783783784 \tabularnewline
11 & 33 & 52.7321428571429 & -19.7321428571429 \tabularnewline
12 & 84 & 66.3783783783784 & 17.6216216216216 \tabularnewline
13 & 88 & 66.3783783783784 & 21.6216216216216 \tabularnewline
14 & 55 & 52.7321428571429 & 2.26785714285715 \tabularnewline
15 & 60 & 106.658536585366 & -46.6585365853659 \tabularnewline
16 & 66 & 66.3783783783784 & -0.378378378378372 \tabularnewline
17 & 154 & 106.658536585366 & 47.3414634146341 \tabularnewline
18 & 53 & 66.3783783783784 & -13.3783783783784 \tabularnewline
19 & 119 & 106.658536585366 & 12.3414634146341 \tabularnewline
20 & 41 & 43.9444444444444 & -2.94444444444444 \tabularnewline
21 & 61 & 66.3783783783784 & -5.37837837837837 \tabularnewline
22 & 58 & 66.3783783783784 & -8.37837837837837 \tabularnewline
23 & 75 & 106.658536585366 & -31.6585365853659 \tabularnewline
24 & 33 & 52.7321428571429 & -19.7321428571429 \tabularnewline
25 & 40 & 52.7321428571429 & -12.7321428571429 \tabularnewline
26 & 92 & 106.658536585366 & -14.6585365853659 \tabularnewline
27 & 100 & 106.658536585366 & -6.65853658536585 \tabularnewline
28 & 112 & 106.658536585366 & 5.34146341463415 \tabularnewline
29 & 73 & 66.3783783783784 & 6.62162162162163 \tabularnewline
30 & 40 & 52.7321428571429 & -12.7321428571429 \tabularnewline
31 & 45 & 66.3783783783784 & -21.3783783783784 \tabularnewline
32 & 60 & 66.3783783783784 & -6.37837837837837 \tabularnewline
33 & 62 & 66.3783783783784 & -4.37837837837837 \tabularnewline
34 & 75 & 66.3783783783784 & 8.62162162162163 \tabularnewline
35 & 31 & 33.1076923076923 & -2.10769230769231 \tabularnewline
36 & 77 & 106.658536585366 & -29.6585365853659 \tabularnewline
37 & 34 & 43.9444444444444 & -9.94444444444444 \tabularnewline
38 & 46 & 66.3783783783784 & -20.3783783783784 \tabularnewline
39 & 99 & 106.658536585366 & -7.65853658536585 \tabularnewline
40 & 17 & 11.8 & 5.2 \tabularnewline
41 & 66 & 66.3783783783784 & -0.378378378378372 \tabularnewline
42 & 30 & 43.9444444444444 & -13.9444444444444 \tabularnewline
43 & 76 & 66.3783783783784 & 9.62162162162163 \tabularnewline
44 & 146 & 106.658536585366 & 39.3414634146341 \tabularnewline
45 & 67 & 106.658536585366 & -39.6585365853659 \tabularnewline
46 & 56 & 52.7321428571429 & 3.26785714285715 \tabularnewline
47 & 107 & 106.658536585366 & 0.341463414634148 \tabularnewline
48 & 58 & 52.7321428571429 & 5.26785714285715 \tabularnewline
49 & 34 & 43.9444444444444 & -9.94444444444444 \tabularnewline
50 & 61 & 66.3783783783784 & -5.37837837837837 \tabularnewline
51 & 119 & 106.658536585366 & 12.3414634146341 \tabularnewline
52 & 42 & 33.1076923076923 & 8.89230769230769 \tabularnewline
53 & 66 & 66.3783783783784 & -0.378378378378372 \tabularnewline
54 & 89 & 106.658536585366 & -17.6585365853659 \tabularnewline
55 & 44 & 66.3783783783784 & -22.3783783783784 \tabularnewline
56 & 66 & 52.7321428571429 & 13.2678571428571 \tabularnewline
57 & 24 & 22.36 & 1.64 \tabularnewline
58 & 259 & 106.658536585366 & 152.341463414634 \tabularnewline
59 & 17 & 33.1076923076923 & -16.1076923076923 \tabularnewline
60 & 64 & 43.9444444444444 & 20.0555555555556 \tabularnewline
61 & 41 & 106.658536585366 & -65.6585365853659 \tabularnewline
62 & 68 & 66.3783783783784 & 1.62162162162163 \tabularnewline
63 & 168 & 106.658536585366 & 61.3414634146341 \tabularnewline
64 & 43 & 43.9444444444444 & -0.944444444444443 \tabularnewline
65 & 132 & 106.658536585366 & 25.3414634146341 \tabularnewline
66 & 105 & 66.3783783783784 & 38.6216216216216 \tabularnewline
67 & 71 & 66.3783783783784 & 4.62162162162163 \tabularnewline
68 & 112 & 106.658536585366 & 5.34146341463415 \tabularnewline
69 & 94 & 106.658536585366 & -12.6585365853659 \tabularnewline
70 & 82 & 66.3783783783784 & 15.6216216216216 \tabularnewline
71 & 70 & 66.3783783783784 & 3.62162162162163 \tabularnewline
72 & 57 & 52.7321428571429 & 4.26785714285715 \tabularnewline
73 & 53 & 52.7321428571429 & 0.267857142857146 \tabularnewline
74 & 103 & 66.3783783783784 & 36.6216216216216 \tabularnewline
75 & 121 & 106.658536585366 & 14.3414634146341 \tabularnewline
76 & 62 & 66.3783783783784 & -4.37837837837837 \tabularnewline
77 & 52 & 52.7321428571429 & -0.732142857142854 \tabularnewline
78 & 52 & 66.3783783783784 & -14.3783783783784 \tabularnewline
79 & 32 & 33.1076923076923 & -1.10769230769231 \tabularnewline
80 & 62 & 66.3783783783784 & -4.37837837837837 \tabularnewline
81 & 45 & 52.7321428571429 & -7.73214285714285 \tabularnewline
82 & 46 & 52.7321428571429 & -6.73214285714285 \tabularnewline
83 & 63 & 66.3783783783784 & -3.37837837837837 \tabularnewline
84 & 75 & 66.3783783783784 & 8.62162162162163 \tabularnewline
85 & 88 & 66.3783783783784 & 21.6216216216216 \tabularnewline
86 & 46 & 52.7321428571429 & -6.73214285714285 \tabularnewline
87 & 53 & 52.7321428571429 & 0.267857142857146 \tabularnewline
88 & 37 & 52.7321428571429 & -15.7321428571429 \tabularnewline
89 & 90 & 106.658536585366 & -16.6585365853659 \tabularnewline
90 & 63 & 52.7321428571429 & 10.2678571428571 \tabularnewline
91 & 78 & 66.3783783783784 & 11.6216216216216 \tabularnewline
92 & 25 & 33.1076923076923 & -8.10769230769231 \tabularnewline
93 & 45 & 66.3783783783784 & -21.3783783783784 \tabularnewline
94 & 46 & 43.9444444444444 & 2.05555555555556 \tabularnewline
95 & 41 & 43.9444444444444 & -2.94444444444444 \tabularnewline
96 & 144 & 106.658536585366 & 37.3414634146341 \tabularnewline
97 & 82 & 66.3783783783784 & 15.6216216216216 \tabularnewline
98 & 91 & 106.658536585366 & -15.6585365853659 \tabularnewline
99 & 71 & 66.3783783783784 & 4.62162162162163 \tabularnewline
100 & 63 & 66.3783783783784 & -3.37837837837837 \tabularnewline
101 & 53 & 52.7321428571429 & 0.267857142857146 \tabularnewline
102 & 62 & 106.658536585366 & -44.6585365853659 \tabularnewline
103 & 63 & 66.3783783783784 & -3.37837837837837 \tabularnewline
104 & 32 & 52.7321428571429 & -20.7321428571429 \tabularnewline
105 & 39 & 52.7321428571429 & -13.7321428571429 \tabularnewline
106 & 62 & 66.3783783783784 & -4.37837837837837 \tabularnewline
107 & 117 & 106.658536585366 & 10.3414634146341 \tabularnewline
108 & 34 & 52.7321428571429 & -18.7321428571429 \tabularnewline
109 & 92 & 106.658536585366 & -14.6585365853659 \tabularnewline
110 & 93 & 66.3783783783784 & 26.6216216216216 \tabularnewline
111 & 54 & 66.3783783783784 & -12.3783783783784 \tabularnewline
112 & 144 & 52.7321428571429 & 91.2678571428571 \tabularnewline
113 & 14 & 22.36 & -8.36 \tabularnewline
114 & 61 & 66.3783783783784 & -5.37837837837837 \tabularnewline
115 & 109 & 66.3783783783784 & 42.6216216216216 \tabularnewline
116 & 38 & 66.3783783783784 & -28.3783783783784 \tabularnewline
117 & 73 & 66.3783783783784 & 6.62162162162163 \tabularnewline
118 & 75 & 66.3783783783784 & 8.62162162162163 \tabularnewline
119 & 50 & 43.9444444444444 & 6.05555555555556 \tabularnewline
120 & 61 & 66.3783783783784 & -5.37837837837837 \tabularnewline
121 & 55 & 66.3783783783784 & -11.3783783783784 \tabularnewline
122 & 77 & 52.7321428571429 & 24.2678571428571 \tabularnewline
123 & 75 & 66.3783783783784 & 8.62162162162163 \tabularnewline
124 & 72 & 52.7321428571429 & 19.2678571428571 \tabularnewline
125 & 50 & 52.7321428571429 & -2.73214285714285 \tabularnewline
126 & 32 & 33.1076923076923 & -1.10769230769231 \tabularnewline
127 & 53 & 43.9444444444444 & 9.05555555555556 \tabularnewline
128 & 42 & 52.7321428571429 & -10.7321428571429 \tabularnewline
129 & 71 & 66.3783783783784 & 4.62162162162163 \tabularnewline
130 & 10 & 11.8 & -1.8 \tabularnewline
131 & 35 & 33.1076923076923 & 1.89230769230769 \tabularnewline
132 & 65 & 66.3783783783784 & -1.37837837837837 \tabularnewline
133 & 25 & 22.36 & 2.64 \tabularnewline
134 & 66 & 66.3783783783784 & -0.378378378378372 \tabularnewline
135 & 41 & 52.7321428571429 & -11.7321428571429 \tabularnewline
136 & 86 & 106.658536585366 & -20.6585365853659 \tabularnewline
137 & 16 & 11.8 & 4.2 \tabularnewline
138 & 42 & 66.3783783783784 & -24.3783783783784 \tabularnewline
139 & 19 & 22.36 & -3.36 \tabularnewline
140 & 19 & 22.36 & -3.36 \tabularnewline
141 & 45 & 33.1076923076923 & 11.8923076923077 \tabularnewline
142 & 65 & 66.3783783783784 & -1.37837837837837 \tabularnewline
143 & 35 & 33.1076923076923 & 1.89230769230769 \tabularnewline
144 & 95 & 106.658536585366 & -11.6585365853659 \tabularnewline
145 & 49 & 66.3783783783784 & -17.3783783783784 \tabularnewline
146 & 37 & 66.3783783783784 & -29.3783783783784 \tabularnewline
147 & 64 & 52.7321428571429 & 11.2678571428571 \tabularnewline
148 & 38 & 33.1076923076923 & 4.89230769230769 \tabularnewline
149 & 34 & 22.36 & 11.64 \tabularnewline
150 & 32 & 52.7321428571429 & -20.7321428571429 \tabularnewline
151 & 65 & 106.658536585366 & -41.6585365853659 \tabularnewline
152 & 52 & 43.9444444444444 & 8.05555555555556 \tabularnewline
153 & 62 & 52.7321428571429 & 9.26785714285715 \tabularnewline
154 & 65 & 106.658536585366 & -41.6585365853659 \tabularnewline
155 & 83 & 66.3783783783784 & 16.6216216216216 \tabularnewline
156 & 95 & 106.658536585366 & -11.6585365853659 \tabularnewline
157 & 29 & 43.9444444444444 & -14.9444444444444 \tabularnewline
158 & 18 & 33.1076923076923 & -15.1076923076923 \tabularnewline
159 & 33 & 33.1076923076923 & -0.107692307692311 \tabularnewline
160 & 247 & 106.658536585366 & 140.341463414634 \tabularnewline
161 & 139 & 106.658536585366 & 32.3414634146341 \tabularnewline
162 & 29 & 33.1076923076923 & -4.10769230769231 \tabularnewline
163 & 118 & 52.7321428571429 & 65.2678571428571 \tabularnewline
164 & 110 & 106.658536585366 & 3.34146341463415 \tabularnewline
165 & 67 & 66.3783783783784 & 0.621621621621628 \tabularnewline
166 & 42 & 52.7321428571429 & -10.7321428571429 \tabularnewline
167 & 65 & 66.3783783783784 & -1.37837837837837 \tabularnewline
168 & 94 & 52.7321428571429 & 41.2678571428571 \tabularnewline
169 & 64 & 43.9444444444444 & 20.0555555555556 \tabularnewline
170 & 81 & 66.3783783783784 & 14.6216216216216 \tabularnewline
171 & 95 & 106.658536585366 & -11.6585365853659 \tabularnewline
172 & 67 & 66.3783783783784 & 0.621621621621628 \tabularnewline
173 & 63 & 66.3783783783784 & -3.37837837837837 \tabularnewline
174 & 83 & 106.658536585366 & -23.6585365853659 \tabularnewline
175 & 45 & 52.7321428571429 & -7.73214285714285 \tabularnewline
176 & 30 & 66.3783783783784 & -36.3783783783784 \tabularnewline
177 & 70 & 106.658536585366 & -36.6585365853659 \tabularnewline
178 & 32 & 33.1076923076923 & -1.10769230769231 \tabularnewline
179 & 83 & 66.3783783783784 & 16.6216216216216 \tabularnewline
180 & 31 & 52.7321428571429 & -21.7321428571429 \tabularnewline
181 & 67 & 52.7321428571429 & 14.2678571428571 \tabularnewline
182 & 66 & 66.3783783783784 & -0.378378378378372 \tabularnewline
183 & 10 & 11.8 & -1.8 \tabularnewline
184 & 70 & 66.3783783783784 & 3.62162162162163 \tabularnewline
185 & 103 & 106.658536585366 & -3.65853658536585 \tabularnewline
186 & 5 & 11.8 & -6.8 \tabularnewline
187 & 20 & 22.36 & -2.36 \tabularnewline
188 & 5 & 11.8 & -6.8 \tabularnewline
189 & 36 & 66.3783783783784 & -30.3783783783784 \tabularnewline
190 & 34 & 33.1076923076923 & 0.892307692307689 \tabularnewline
191 & 48 & 52.7321428571429 & -4.73214285714285 \tabularnewline
192 & 40 & 33.1076923076923 & 6.89230769230769 \tabularnewline
193 & 43 & 52.7321428571429 & -9.73214285714285 \tabularnewline
194 & 31 & 52.7321428571429 & -21.7321428571429 \tabularnewline
195 & 42 & 52.7321428571429 & -10.7321428571429 \tabularnewline
196 & 46 & 52.7321428571429 & -6.73214285714285 \tabularnewline
197 & 33 & 33.1076923076923 & -0.107692307692311 \tabularnewline
198 & 18 & 22.36 & -4.36 \tabularnewline
199 & 55 & 52.7321428571429 & 2.26785714285715 \tabularnewline
200 & 35 & 33.1076923076923 & 1.89230769230769 \tabularnewline
201 & 59 & 33.1076923076923 & 25.8923076923077 \tabularnewline
202 & 19 & 22.36 & -3.36 \tabularnewline
203 & 66 & 52.7321428571429 & 13.2678571428571 \tabularnewline
204 & 60 & 52.7321428571429 & 7.26785714285715 \tabularnewline
205 & 36 & 66.3783783783784 & -30.3783783783784 \tabularnewline
206 & 25 & 22.36 & 2.64 \tabularnewline
207 & 47 & 33.1076923076923 & 13.8923076923077 \tabularnewline
208 & 54 & 66.3783783783784 & -12.3783783783784 \tabularnewline
209 & 53 & 52.7321428571429 & 0.267857142857146 \tabularnewline
210 & 40 & 52.7321428571429 & -12.7321428571429 \tabularnewline
211 & 40 & 52.7321428571429 & -12.7321428571429 \tabularnewline
212 & 39 & 52.7321428571429 & -13.7321428571429 \tabularnewline
213 & 14 & 22.36 & -8.36 \tabularnewline
214 & 45 & 33.1076923076923 & 11.8923076923077 \tabularnewline
215 & 36 & 33.1076923076923 & 2.89230769230769 \tabularnewline
216 & 28 & 33.1076923076923 & -5.10769230769231 \tabularnewline
217 & 44 & 33.1076923076923 & 10.8923076923077 \tabularnewline
218 & 30 & 33.1076923076923 & -3.10769230769231 \tabularnewline
219 & 22 & 33.1076923076923 & -11.1076923076923 \tabularnewline
220 & 17 & 22.36 & -5.36 \tabularnewline
221 & 31 & 33.1076923076923 & -2.10769230769231 \tabularnewline
222 & 55 & 66.3783783783784 & -11.3783783783784 \tabularnewline
223 & 54 & 66.3783783783784 & -12.3783783783784 \tabularnewline
224 & 21 & 33.1076923076923 & -12.1076923076923 \tabularnewline
225 & 14 & 11.8 & 2.2 \tabularnewline
226 & 81 & 66.3783783783784 & 14.6216216216216 \tabularnewline
227 & 35 & 33.1076923076923 & 1.89230769230769 \tabularnewline
228 & 43 & 33.1076923076923 & 9.89230769230769 \tabularnewline
229 & 46 & 52.7321428571429 & -6.73214285714285 \tabularnewline
230 & 30 & 52.7321428571429 & -22.7321428571429 \tabularnewline
231 & 23 & 22.36 & 0.640000000000001 \tabularnewline
232 & 38 & 33.1076923076923 & 4.89230769230769 \tabularnewline
233 & 54 & 52.7321428571429 & 1.26785714285715 \tabularnewline
234 & 20 & 33.1076923076923 & -13.1076923076923 \tabularnewline
235 & 53 & 33.1076923076923 & 19.8923076923077 \tabularnewline
236 & 45 & 33.1076923076923 & 11.8923076923077 \tabularnewline
237 & 39 & 52.7321428571429 & -13.7321428571429 \tabularnewline
238 & 20 & 33.1076923076923 & -13.1076923076923 \tabularnewline
239 & 24 & 33.1076923076923 & -9.10769230769231 \tabularnewline
240 & 31 & 22.36 & 8.64 \tabularnewline
241 & 35 & 33.1076923076923 & 1.89230769230769 \tabularnewline
242 & 151 & 66.3783783783784 & 84.6216216216216 \tabularnewline
243 & 52 & 33.1076923076923 & 18.8923076923077 \tabularnewline
244 & 30 & 22.36 & 7.64 \tabularnewline
245 & 31 & 33.1076923076923 & -2.10769230769231 \tabularnewline
246 & 29 & 33.1076923076923 & -4.10769230769231 \tabularnewline
247 & 57 & 66.3783783783784 & -9.37837837837837 \tabularnewline
248 & 40 & 33.1076923076923 & 6.89230769230769 \tabularnewline
249 & 44 & 33.1076923076923 & 10.8923076923077 \tabularnewline
250 & 25 & 22.36 & 2.64 \tabularnewline
251 & 77 & 66.3783783783784 & 10.6216216216216 \tabularnewline
252 & 35 & 43.9444444444444 & -8.94444444444444 \tabularnewline
253 & 11 & 11.8 & -0.800000000000001 \tabularnewline
254 & 63 & 52.7321428571429 & 10.2678571428571 \tabularnewline
255 & 44 & 33.1076923076923 & 10.8923076923077 \tabularnewline
256 & 19 & 22.36 & -3.36 \tabularnewline
257 & 13 & 22.36 & -9.36 \tabularnewline
258 & 42 & 33.1076923076923 & 8.89230769230769 \tabularnewline
259 & 38 & 22.36 & 15.64 \tabularnewline
260 & 29 & 22.36 & 6.64 \tabularnewline
261 & 20 & 22.36 & -2.36 \tabularnewline
262 & 27 & 33.1076923076923 & -6.10769230769231 \tabularnewline
263 & 20 & 22.36 & -2.36 \tabularnewline
264 & 19 & 33.1076923076923 & -14.1076923076923 \tabularnewline
265 & 37 & 33.1076923076923 & 3.89230769230769 \tabularnewline
266 & 26 & 33.1076923076923 & -7.10769230769231 \tabularnewline
267 & 42 & 33.1076923076923 & 8.89230769230769 \tabularnewline
268 & 49 & 33.1076923076923 & 15.8923076923077 \tabularnewline
269 & 30 & 43.9444444444444 & -13.9444444444444 \tabularnewline
270 & 49 & 33.1076923076923 & 15.8923076923077 \tabularnewline
271 & 67 & 52.7321428571429 & 14.2678571428571 \tabularnewline
272 & 28 & 33.1076923076923 & -5.10769230769231 \tabularnewline
273 & 19 & 33.1076923076923 & -14.1076923076923 \tabularnewline
274 & 49 & 43.9444444444444 & 5.05555555555556 \tabularnewline
275 & 27 & 33.1076923076923 & -6.10769230769231 \tabularnewline
276 & 30 & 33.1076923076923 & -3.10769230769231 \tabularnewline
277 & 22 & 22.36 & -0.359999999999999 \tabularnewline
278 & 12 & 11.8 & 0.199999999999999 \tabularnewline
279 & 31 & 33.1076923076923 & -2.10769230769231 \tabularnewline
280 & 20 & 33.1076923076923 & -13.1076923076923 \tabularnewline
281 & 20 & 33.1076923076923 & -13.1076923076923 \tabularnewline
282 & 39 & 33.1076923076923 & 5.89230769230769 \tabularnewline
283 & 29 & 33.1076923076923 & -4.10769230769231 \tabularnewline
284 & 16 & 22.36 & -6.36 \tabularnewline
285 & 27 & 33.1076923076923 & -6.10769230769231 \tabularnewline
286 & 21 & 33.1076923076923 & -12.1076923076923 \tabularnewline
287 & 19 & 33.1076923076923 & -14.1076923076923 \tabularnewline
288 & 35 & 33.1076923076923 & 1.89230769230769 \tabularnewline
289 & 14 & 33.1076923076923 & -19.1076923076923 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158929&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]56[/C][C]52.7321428571429[/C][C]3.26785714285715[/C][/ROW]
[ROW][C]2[/C][C]56[/C][C]43.9444444444444[/C][C]12.0555555555556[/C][/ROW]
[ROW][C]3[/C][C]54[/C][C]66.3783783783784[/C][C]-12.3783783783784[/C][/ROW]
[ROW][C]4[/C][C]89[/C][C]106.658536585366[/C][C]-17.6585365853659[/C][/ROW]
[ROW][C]5[/C][C]40[/C][C]43.9444444444444[/C][C]-3.94444444444444[/C][/ROW]
[ROW][C]6[/C][C]25[/C][C]22.36[/C][C]2.64[/C][/ROW]
[ROW][C]7[/C][C]92[/C][C]106.658536585366[/C][C]-14.6585365853659[/C][/ROW]
[ROW][C]8[/C][C]18[/C][C]11.8[/C][C]6.2[/C][/ROW]
[ROW][C]9[/C][C]63[/C][C]52.7321428571429[/C][C]10.2678571428571[/C][/ROW]
[ROW][C]10[/C][C]44[/C][C]66.3783783783784[/C][C]-22.3783783783784[/C][/ROW]
[ROW][C]11[/C][C]33[/C][C]52.7321428571429[/C][C]-19.7321428571429[/C][/ROW]
[ROW][C]12[/C][C]84[/C][C]66.3783783783784[/C][C]17.6216216216216[/C][/ROW]
[ROW][C]13[/C][C]88[/C][C]66.3783783783784[/C][C]21.6216216216216[/C][/ROW]
[ROW][C]14[/C][C]55[/C][C]52.7321428571429[/C][C]2.26785714285715[/C][/ROW]
[ROW][C]15[/C][C]60[/C][C]106.658536585366[/C][C]-46.6585365853659[/C][/ROW]
[ROW][C]16[/C][C]66[/C][C]66.3783783783784[/C][C]-0.378378378378372[/C][/ROW]
[ROW][C]17[/C][C]154[/C][C]106.658536585366[/C][C]47.3414634146341[/C][/ROW]
[ROW][C]18[/C][C]53[/C][C]66.3783783783784[/C][C]-13.3783783783784[/C][/ROW]
[ROW][C]19[/C][C]119[/C][C]106.658536585366[/C][C]12.3414634146341[/C][/ROW]
[ROW][C]20[/C][C]41[/C][C]43.9444444444444[/C][C]-2.94444444444444[/C][/ROW]
[ROW][C]21[/C][C]61[/C][C]66.3783783783784[/C][C]-5.37837837837837[/C][/ROW]
[ROW][C]22[/C][C]58[/C][C]66.3783783783784[/C][C]-8.37837837837837[/C][/ROW]
[ROW][C]23[/C][C]75[/C][C]106.658536585366[/C][C]-31.6585365853659[/C][/ROW]
[ROW][C]24[/C][C]33[/C][C]52.7321428571429[/C][C]-19.7321428571429[/C][/ROW]
[ROW][C]25[/C][C]40[/C][C]52.7321428571429[/C][C]-12.7321428571429[/C][/ROW]
[ROW][C]26[/C][C]92[/C][C]106.658536585366[/C][C]-14.6585365853659[/C][/ROW]
[ROW][C]27[/C][C]100[/C][C]106.658536585366[/C][C]-6.65853658536585[/C][/ROW]
[ROW][C]28[/C][C]112[/C][C]106.658536585366[/C][C]5.34146341463415[/C][/ROW]
[ROW][C]29[/C][C]73[/C][C]66.3783783783784[/C][C]6.62162162162163[/C][/ROW]
[ROW][C]30[/C][C]40[/C][C]52.7321428571429[/C][C]-12.7321428571429[/C][/ROW]
[ROW][C]31[/C][C]45[/C][C]66.3783783783784[/C][C]-21.3783783783784[/C][/ROW]
[ROW][C]32[/C][C]60[/C][C]66.3783783783784[/C][C]-6.37837837837837[/C][/ROW]
[ROW][C]33[/C][C]62[/C][C]66.3783783783784[/C][C]-4.37837837837837[/C][/ROW]
[ROW][C]34[/C][C]75[/C][C]66.3783783783784[/C][C]8.62162162162163[/C][/ROW]
[ROW][C]35[/C][C]31[/C][C]33.1076923076923[/C][C]-2.10769230769231[/C][/ROW]
[ROW][C]36[/C][C]77[/C][C]106.658536585366[/C][C]-29.6585365853659[/C][/ROW]
[ROW][C]37[/C][C]34[/C][C]43.9444444444444[/C][C]-9.94444444444444[/C][/ROW]
[ROW][C]38[/C][C]46[/C][C]66.3783783783784[/C][C]-20.3783783783784[/C][/ROW]
[ROW][C]39[/C][C]99[/C][C]106.658536585366[/C][C]-7.65853658536585[/C][/ROW]
[ROW][C]40[/C][C]17[/C][C]11.8[/C][C]5.2[/C][/ROW]
[ROW][C]41[/C][C]66[/C][C]66.3783783783784[/C][C]-0.378378378378372[/C][/ROW]
[ROW][C]42[/C][C]30[/C][C]43.9444444444444[/C][C]-13.9444444444444[/C][/ROW]
[ROW][C]43[/C][C]76[/C][C]66.3783783783784[/C][C]9.62162162162163[/C][/ROW]
[ROW][C]44[/C][C]146[/C][C]106.658536585366[/C][C]39.3414634146341[/C][/ROW]
[ROW][C]45[/C][C]67[/C][C]106.658536585366[/C][C]-39.6585365853659[/C][/ROW]
[ROW][C]46[/C][C]56[/C][C]52.7321428571429[/C][C]3.26785714285715[/C][/ROW]
[ROW][C]47[/C][C]107[/C][C]106.658536585366[/C][C]0.341463414634148[/C][/ROW]
[ROW][C]48[/C][C]58[/C][C]52.7321428571429[/C][C]5.26785714285715[/C][/ROW]
[ROW][C]49[/C][C]34[/C][C]43.9444444444444[/C][C]-9.94444444444444[/C][/ROW]
[ROW][C]50[/C][C]61[/C][C]66.3783783783784[/C][C]-5.37837837837837[/C][/ROW]
[ROW][C]51[/C][C]119[/C][C]106.658536585366[/C][C]12.3414634146341[/C][/ROW]
[ROW][C]52[/C][C]42[/C][C]33.1076923076923[/C][C]8.89230769230769[/C][/ROW]
[ROW][C]53[/C][C]66[/C][C]66.3783783783784[/C][C]-0.378378378378372[/C][/ROW]
[ROW][C]54[/C][C]89[/C][C]106.658536585366[/C][C]-17.6585365853659[/C][/ROW]
[ROW][C]55[/C][C]44[/C][C]66.3783783783784[/C][C]-22.3783783783784[/C][/ROW]
[ROW][C]56[/C][C]66[/C][C]52.7321428571429[/C][C]13.2678571428571[/C][/ROW]
[ROW][C]57[/C][C]24[/C][C]22.36[/C][C]1.64[/C][/ROW]
[ROW][C]58[/C][C]259[/C][C]106.658536585366[/C][C]152.341463414634[/C][/ROW]
[ROW][C]59[/C][C]17[/C][C]33.1076923076923[/C][C]-16.1076923076923[/C][/ROW]
[ROW][C]60[/C][C]64[/C][C]43.9444444444444[/C][C]20.0555555555556[/C][/ROW]
[ROW][C]61[/C][C]41[/C][C]106.658536585366[/C][C]-65.6585365853659[/C][/ROW]
[ROW][C]62[/C][C]68[/C][C]66.3783783783784[/C][C]1.62162162162163[/C][/ROW]
[ROW][C]63[/C][C]168[/C][C]106.658536585366[/C][C]61.3414634146341[/C][/ROW]
[ROW][C]64[/C][C]43[/C][C]43.9444444444444[/C][C]-0.944444444444443[/C][/ROW]
[ROW][C]65[/C][C]132[/C][C]106.658536585366[/C][C]25.3414634146341[/C][/ROW]
[ROW][C]66[/C][C]105[/C][C]66.3783783783784[/C][C]38.6216216216216[/C][/ROW]
[ROW][C]67[/C][C]71[/C][C]66.3783783783784[/C][C]4.62162162162163[/C][/ROW]
[ROW][C]68[/C][C]112[/C][C]106.658536585366[/C][C]5.34146341463415[/C][/ROW]
[ROW][C]69[/C][C]94[/C][C]106.658536585366[/C][C]-12.6585365853659[/C][/ROW]
[ROW][C]70[/C][C]82[/C][C]66.3783783783784[/C][C]15.6216216216216[/C][/ROW]
[ROW][C]71[/C][C]70[/C][C]66.3783783783784[/C][C]3.62162162162163[/C][/ROW]
[ROW][C]72[/C][C]57[/C][C]52.7321428571429[/C][C]4.26785714285715[/C][/ROW]
[ROW][C]73[/C][C]53[/C][C]52.7321428571429[/C][C]0.267857142857146[/C][/ROW]
[ROW][C]74[/C][C]103[/C][C]66.3783783783784[/C][C]36.6216216216216[/C][/ROW]
[ROW][C]75[/C][C]121[/C][C]106.658536585366[/C][C]14.3414634146341[/C][/ROW]
[ROW][C]76[/C][C]62[/C][C]66.3783783783784[/C][C]-4.37837837837837[/C][/ROW]
[ROW][C]77[/C][C]52[/C][C]52.7321428571429[/C][C]-0.732142857142854[/C][/ROW]
[ROW][C]78[/C][C]52[/C][C]66.3783783783784[/C][C]-14.3783783783784[/C][/ROW]
[ROW][C]79[/C][C]32[/C][C]33.1076923076923[/C][C]-1.10769230769231[/C][/ROW]
[ROW][C]80[/C][C]62[/C][C]66.3783783783784[/C][C]-4.37837837837837[/C][/ROW]
[ROW][C]81[/C][C]45[/C][C]52.7321428571429[/C][C]-7.73214285714285[/C][/ROW]
[ROW][C]82[/C][C]46[/C][C]52.7321428571429[/C][C]-6.73214285714285[/C][/ROW]
[ROW][C]83[/C][C]63[/C][C]66.3783783783784[/C][C]-3.37837837837837[/C][/ROW]
[ROW][C]84[/C][C]75[/C][C]66.3783783783784[/C][C]8.62162162162163[/C][/ROW]
[ROW][C]85[/C][C]88[/C][C]66.3783783783784[/C][C]21.6216216216216[/C][/ROW]
[ROW][C]86[/C][C]46[/C][C]52.7321428571429[/C][C]-6.73214285714285[/C][/ROW]
[ROW][C]87[/C][C]53[/C][C]52.7321428571429[/C][C]0.267857142857146[/C][/ROW]
[ROW][C]88[/C][C]37[/C][C]52.7321428571429[/C][C]-15.7321428571429[/C][/ROW]
[ROW][C]89[/C][C]90[/C][C]106.658536585366[/C][C]-16.6585365853659[/C][/ROW]
[ROW][C]90[/C][C]63[/C][C]52.7321428571429[/C][C]10.2678571428571[/C][/ROW]
[ROW][C]91[/C][C]78[/C][C]66.3783783783784[/C][C]11.6216216216216[/C][/ROW]
[ROW][C]92[/C][C]25[/C][C]33.1076923076923[/C][C]-8.10769230769231[/C][/ROW]
[ROW][C]93[/C][C]45[/C][C]66.3783783783784[/C][C]-21.3783783783784[/C][/ROW]
[ROW][C]94[/C][C]46[/C][C]43.9444444444444[/C][C]2.05555555555556[/C][/ROW]
[ROW][C]95[/C][C]41[/C][C]43.9444444444444[/C][C]-2.94444444444444[/C][/ROW]
[ROW][C]96[/C][C]144[/C][C]106.658536585366[/C][C]37.3414634146341[/C][/ROW]
[ROW][C]97[/C][C]82[/C][C]66.3783783783784[/C][C]15.6216216216216[/C][/ROW]
[ROW][C]98[/C][C]91[/C][C]106.658536585366[/C][C]-15.6585365853659[/C][/ROW]
[ROW][C]99[/C][C]71[/C][C]66.3783783783784[/C][C]4.62162162162163[/C][/ROW]
[ROW][C]100[/C][C]63[/C][C]66.3783783783784[/C][C]-3.37837837837837[/C][/ROW]
[ROW][C]101[/C][C]53[/C][C]52.7321428571429[/C][C]0.267857142857146[/C][/ROW]
[ROW][C]102[/C][C]62[/C][C]106.658536585366[/C][C]-44.6585365853659[/C][/ROW]
[ROW][C]103[/C][C]63[/C][C]66.3783783783784[/C][C]-3.37837837837837[/C][/ROW]
[ROW][C]104[/C][C]32[/C][C]52.7321428571429[/C][C]-20.7321428571429[/C][/ROW]
[ROW][C]105[/C][C]39[/C][C]52.7321428571429[/C][C]-13.7321428571429[/C][/ROW]
[ROW][C]106[/C][C]62[/C][C]66.3783783783784[/C][C]-4.37837837837837[/C][/ROW]
[ROW][C]107[/C][C]117[/C][C]106.658536585366[/C][C]10.3414634146341[/C][/ROW]
[ROW][C]108[/C][C]34[/C][C]52.7321428571429[/C][C]-18.7321428571429[/C][/ROW]
[ROW][C]109[/C][C]92[/C][C]106.658536585366[/C][C]-14.6585365853659[/C][/ROW]
[ROW][C]110[/C][C]93[/C][C]66.3783783783784[/C][C]26.6216216216216[/C][/ROW]
[ROW][C]111[/C][C]54[/C][C]66.3783783783784[/C][C]-12.3783783783784[/C][/ROW]
[ROW][C]112[/C][C]144[/C][C]52.7321428571429[/C][C]91.2678571428571[/C][/ROW]
[ROW][C]113[/C][C]14[/C][C]22.36[/C][C]-8.36[/C][/ROW]
[ROW][C]114[/C][C]61[/C][C]66.3783783783784[/C][C]-5.37837837837837[/C][/ROW]
[ROW][C]115[/C][C]109[/C][C]66.3783783783784[/C][C]42.6216216216216[/C][/ROW]
[ROW][C]116[/C][C]38[/C][C]66.3783783783784[/C][C]-28.3783783783784[/C][/ROW]
[ROW][C]117[/C][C]73[/C][C]66.3783783783784[/C][C]6.62162162162163[/C][/ROW]
[ROW][C]118[/C][C]75[/C][C]66.3783783783784[/C][C]8.62162162162163[/C][/ROW]
[ROW][C]119[/C][C]50[/C][C]43.9444444444444[/C][C]6.05555555555556[/C][/ROW]
[ROW][C]120[/C][C]61[/C][C]66.3783783783784[/C][C]-5.37837837837837[/C][/ROW]
[ROW][C]121[/C][C]55[/C][C]66.3783783783784[/C][C]-11.3783783783784[/C][/ROW]
[ROW][C]122[/C][C]77[/C][C]52.7321428571429[/C][C]24.2678571428571[/C][/ROW]
[ROW][C]123[/C][C]75[/C][C]66.3783783783784[/C][C]8.62162162162163[/C][/ROW]
[ROW][C]124[/C][C]72[/C][C]52.7321428571429[/C][C]19.2678571428571[/C][/ROW]
[ROW][C]125[/C][C]50[/C][C]52.7321428571429[/C][C]-2.73214285714285[/C][/ROW]
[ROW][C]126[/C][C]32[/C][C]33.1076923076923[/C][C]-1.10769230769231[/C][/ROW]
[ROW][C]127[/C][C]53[/C][C]43.9444444444444[/C][C]9.05555555555556[/C][/ROW]
[ROW][C]128[/C][C]42[/C][C]52.7321428571429[/C][C]-10.7321428571429[/C][/ROW]
[ROW][C]129[/C][C]71[/C][C]66.3783783783784[/C][C]4.62162162162163[/C][/ROW]
[ROW][C]130[/C][C]10[/C][C]11.8[/C][C]-1.8[/C][/ROW]
[ROW][C]131[/C][C]35[/C][C]33.1076923076923[/C][C]1.89230769230769[/C][/ROW]
[ROW][C]132[/C][C]65[/C][C]66.3783783783784[/C][C]-1.37837837837837[/C][/ROW]
[ROW][C]133[/C][C]25[/C][C]22.36[/C][C]2.64[/C][/ROW]
[ROW][C]134[/C][C]66[/C][C]66.3783783783784[/C][C]-0.378378378378372[/C][/ROW]
[ROW][C]135[/C][C]41[/C][C]52.7321428571429[/C][C]-11.7321428571429[/C][/ROW]
[ROW][C]136[/C][C]86[/C][C]106.658536585366[/C][C]-20.6585365853659[/C][/ROW]
[ROW][C]137[/C][C]16[/C][C]11.8[/C][C]4.2[/C][/ROW]
[ROW][C]138[/C][C]42[/C][C]66.3783783783784[/C][C]-24.3783783783784[/C][/ROW]
[ROW][C]139[/C][C]19[/C][C]22.36[/C][C]-3.36[/C][/ROW]
[ROW][C]140[/C][C]19[/C][C]22.36[/C][C]-3.36[/C][/ROW]
[ROW][C]141[/C][C]45[/C][C]33.1076923076923[/C][C]11.8923076923077[/C][/ROW]
[ROW][C]142[/C][C]65[/C][C]66.3783783783784[/C][C]-1.37837837837837[/C][/ROW]
[ROW][C]143[/C][C]35[/C][C]33.1076923076923[/C][C]1.89230769230769[/C][/ROW]
[ROW][C]144[/C][C]95[/C][C]106.658536585366[/C][C]-11.6585365853659[/C][/ROW]
[ROW][C]145[/C][C]49[/C][C]66.3783783783784[/C][C]-17.3783783783784[/C][/ROW]
[ROW][C]146[/C][C]37[/C][C]66.3783783783784[/C][C]-29.3783783783784[/C][/ROW]
[ROW][C]147[/C][C]64[/C][C]52.7321428571429[/C][C]11.2678571428571[/C][/ROW]
[ROW][C]148[/C][C]38[/C][C]33.1076923076923[/C][C]4.89230769230769[/C][/ROW]
[ROW][C]149[/C][C]34[/C][C]22.36[/C][C]11.64[/C][/ROW]
[ROW][C]150[/C][C]32[/C][C]52.7321428571429[/C][C]-20.7321428571429[/C][/ROW]
[ROW][C]151[/C][C]65[/C][C]106.658536585366[/C][C]-41.6585365853659[/C][/ROW]
[ROW][C]152[/C][C]52[/C][C]43.9444444444444[/C][C]8.05555555555556[/C][/ROW]
[ROW][C]153[/C][C]62[/C][C]52.7321428571429[/C][C]9.26785714285715[/C][/ROW]
[ROW][C]154[/C][C]65[/C][C]106.658536585366[/C][C]-41.6585365853659[/C][/ROW]
[ROW][C]155[/C][C]83[/C][C]66.3783783783784[/C][C]16.6216216216216[/C][/ROW]
[ROW][C]156[/C][C]95[/C][C]106.658536585366[/C][C]-11.6585365853659[/C][/ROW]
[ROW][C]157[/C][C]29[/C][C]43.9444444444444[/C][C]-14.9444444444444[/C][/ROW]
[ROW][C]158[/C][C]18[/C][C]33.1076923076923[/C][C]-15.1076923076923[/C][/ROW]
[ROW][C]159[/C][C]33[/C][C]33.1076923076923[/C][C]-0.107692307692311[/C][/ROW]
[ROW][C]160[/C][C]247[/C][C]106.658536585366[/C][C]140.341463414634[/C][/ROW]
[ROW][C]161[/C][C]139[/C][C]106.658536585366[/C][C]32.3414634146341[/C][/ROW]
[ROW][C]162[/C][C]29[/C][C]33.1076923076923[/C][C]-4.10769230769231[/C][/ROW]
[ROW][C]163[/C][C]118[/C][C]52.7321428571429[/C][C]65.2678571428571[/C][/ROW]
[ROW][C]164[/C][C]110[/C][C]106.658536585366[/C][C]3.34146341463415[/C][/ROW]
[ROW][C]165[/C][C]67[/C][C]66.3783783783784[/C][C]0.621621621621628[/C][/ROW]
[ROW][C]166[/C][C]42[/C][C]52.7321428571429[/C][C]-10.7321428571429[/C][/ROW]
[ROW][C]167[/C][C]65[/C][C]66.3783783783784[/C][C]-1.37837837837837[/C][/ROW]
[ROW][C]168[/C][C]94[/C][C]52.7321428571429[/C][C]41.2678571428571[/C][/ROW]
[ROW][C]169[/C][C]64[/C][C]43.9444444444444[/C][C]20.0555555555556[/C][/ROW]
[ROW][C]170[/C][C]81[/C][C]66.3783783783784[/C][C]14.6216216216216[/C][/ROW]
[ROW][C]171[/C][C]95[/C][C]106.658536585366[/C][C]-11.6585365853659[/C][/ROW]
[ROW][C]172[/C][C]67[/C][C]66.3783783783784[/C][C]0.621621621621628[/C][/ROW]
[ROW][C]173[/C][C]63[/C][C]66.3783783783784[/C][C]-3.37837837837837[/C][/ROW]
[ROW][C]174[/C][C]83[/C][C]106.658536585366[/C][C]-23.6585365853659[/C][/ROW]
[ROW][C]175[/C][C]45[/C][C]52.7321428571429[/C][C]-7.73214285714285[/C][/ROW]
[ROW][C]176[/C][C]30[/C][C]66.3783783783784[/C][C]-36.3783783783784[/C][/ROW]
[ROW][C]177[/C][C]70[/C][C]106.658536585366[/C][C]-36.6585365853659[/C][/ROW]
[ROW][C]178[/C][C]32[/C][C]33.1076923076923[/C][C]-1.10769230769231[/C][/ROW]
[ROW][C]179[/C][C]83[/C][C]66.3783783783784[/C][C]16.6216216216216[/C][/ROW]
[ROW][C]180[/C][C]31[/C][C]52.7321428571429[/C][C]-21.7321428571429[/C][/ROW]
[ROW][C]181[/C][C]67[/C][C]52.7321428571429[/C][C]14.2678571428571[/C][/ROW]
[ROW][C]182[/C][C]66[/C][C]66.3783783783784[/C][C]-0.378378378378372[/C][/ROW]
[ROW][C]183[/C][C]10[/C][C]11.8[/C][C]-1.8[/C][/ROW]
[ROW][C]184[/C][C]70[/C][C]66.3783783783784[/C][C]3.62162162162163[/C][/ROW]
[ROW][C]185[/C][C]103[/C][C]106.658536585366[/C][C]-3.65853658536585[/C][/ROW]
[ROW][C]186[/C][C]5[/C][C]11.8[/C][C]-6.8[/C][/ROW]
[ROW][C]187[/C][C]20[/C][C]22.36[/C][C]-2.36[/C][/ROW]
[ROW][C]188[/C][C]5[/C][C]11.8[/C][C]-6.8[/C][/ROW]
[ROW][C]189[/C][C]36[/C][C]66.3783783783784[/C][C]-30.3783783783784[/C][/ROW]
[ROW][C]190[/C][C]34[/C][C]33.1076923076923[/C][C]0.892307692307689[/C][/ROW]
[ROW][C]191[/C][C]48[/C][C]52.7321428571429[/C][C]-4.73214285714285[/C][/ROW]
[ROW][C]192[/C][C]40[/C][C]33.1076923076923[/C][C]6.89230769230769[/C][/ROW]
[ROW][C]193[/C][C]43[/C][C]52.7321428571429[/C][C]-9.73214285714285[/C][/ROW]
[ROW][C]194[/C][C]31[/C][C]52.7321428571429[/C][C]-21.7321428571429[/C][/ROW]
[ROW][C]195[/C][C]42[/C][C]52.7321428571429[/C][C]-10.7321428571429[/C][/ROW]
[ROW][C]196[/C][C]46[/C][C]52.7321428571429[/C][C]-6.73214285714285[/C][/ROW]
[ROW][C]197[/C][C]33[/C][C]33.1076923076923[/C][C]-0.107692307692311[/C][/ROW]
[ROW][C]198[/C][C]18[/C][C]22.36[/C][C]-4.36[/C][/ROW]
[ROW][C]199[/C][C]55[/C][C]52.7321428571429[/C][C]2.26785714285715[/C][/ROW]
[ROW][C]200[/C][C]35[/C][C]33.1076923076923[/C][C]1.89230769230769[/C][/ROW]
[ROW][C]201[/C][C]59[/C][C]33.1076923076923[/C][C]25.8923076923077[/C][/ROW]
[ROW][C]202[/C][C]19[/C][C]22.36[/C][C]-3.36[/C][/ROW]
[ROW][C]203[/C][C]66[/C][C]52.7321428571429[/C][C]13.2678571428571[/C][/ROW]
[ROW][C]204[/C][C]60[/C][C]52.7321428571429[/C][C]7.26785714285715[/C][/ROW]
[ROW][C]205[/C][C]36[/C][C]66.3783783783784[/C][C]-30.3783783783784[/C][/ROW]
[ROW][C]206[/C][C]25[/C][C]22.36[/C][C]2.64[/C][/ROW]
[ROW][C]207[/C][C]47[/C][C]33.1076923076923[/C][C]13.8923076923077[/C][/ROW]
[ROW][C]208[/C][C]54[/C][C]66.3783783783784[/C][C]-12.3783783783784[/C][/ROW]
[ROW][C]209[/C][C]53[/C][C]52.7321428571429[/C][C]0.267857142857146[/C][/ROW]
[ROW][C]210[/C][C]40[/C][C]52.7321428571429[/C][C]-12.7321428571429[/C][/ROW]
[ROW][C]211[/C][C]40[/C][C]52.7321428571429[/C][C]-12.7321428571429[/C][/ROW]
[ROW][C]212[/C][C]39[/C][C]52.7321428571429[/C][C]-13.7321428571429[/C][/ROW]
[ROW][C]213[/C][C]14[/C][C]22.36[/C][C]-8.36[/C][/ROW]
[ROW][C]214[/C][C]45[/C][C]33.1076923076923[/C][C]11.8923076923077[/C][/ROW]
[ROW][C]215[/C][C]36[/C][C]33.1076923076923[/C][C]2.89230769230769[/C][/ROW]
[ROW][C]216[/C][C]28[/C][C]33.1076923076923[/C][C]-5.10769230769231[/C][/ROW]
[ROW][C]217[/C][C]44[/C][C]33.1076923076923[/C][C]10.8923076923077[/C][/ROW]
[ROW][C]218[/C][C]30[/C][C]33.1076923076923[/C][C]-3.10769230769231[/C][/ROW]
[ROW][C]219[/C][C]22[/C][C]33.1076923076923[/C][C]-11.1076923076923[/C][/ROW]
[ROW][C]220[/C][C]17[/C][C]22.36[/C][C]-5.36[/C][/ROW]
[ROW][C]221[/C][C]31[/C][C]33.1076923076923[/C][C]-2.10769230769231[/C][/ROW]
[ROW][C]222[/C][C]55[/C][C]66.3783783783784[/C][C]-11.3783783783784[/C][/ROW]
[ROW][C]223[/C][C]54[/C][C]66.3783783783784[/C][C]-12.3783783783784[/C][/ROW]
[ROW][C]224[/C][C]21[/C][C]33.1076923076923[/C][C]-12.1076923076923[/C][/ROW]
[ROW][C]225[/C][C]14[/C][C]11.8[/C][C]2.2[/C][/ROW]
[ROW][C]226[/C][C]81[/C][C]66.3783783783784[/C][C]14.6216216216216[/C][/ROW]
[ROW][C]227[/C][C]35[/C][C]33.1076923076923[/C][C]1.89230769230769[/C][/ROW]
[ROW][C]228[/C][C]43[/C][C]33.1076923076923[/C][C]9.89230769230769[/C][/ROW]
[ROW][C]229[/C][C]46[/C][C]52.7321428571429[/C][C]-6.73214285714285[/C][/ROW]
[ROW][C]230[/C][C]30[/C][C]52.7321428571429[/C][C]-22.7321428571429[/C][/ROW]
[ROW][C]231[/C][C]23[/C][C]22.36[/C][C]0.640000000000001[/C][/ROW]
[ROW][C]232[/C][C]38[/C][C]33.1076923076923[/C][C]4.89230769230769[/C][/ROW]
[ROW][C]233[/C][C]54[/C][C]52.7321428571429[/C][C]1.26785714285715[/C][/ROW]
[ROW][C]234[/C][C]20[/C][C]33.1076923076923[/C][C]-13.1076923076923[/C][/ROW]
[ROW][C]235[/C][C]53[/C][C]33.1076923076923[/C][C]19.8923076923077[/C][/ROW]
[ROW][C]236[/C][C]45[/C][C]33.1076923076923[/C][C]11.8923076923077[/C][/ROW]
[ROW][C]237[/C][C]39[/C][C]52.7321428571429[/C][C]-13.7321428571429[/C][/ROW]
[ROW][C]238[/C][C]20[/C][C]33.1076923076923[/C][C]-13.1076923076923[/C][/ROW]
[ROW][C]239[/C][C]24[/C][C]33.1076923076923[/C][C]-9.10769230769231[/C][/ROW]
[ROW][C]240[/C][C]31[/C][C]22.36[/C][C]8.64[/C][/ROW]
[ROW][C]241[/C][C]35[/C][C]33.1076923076923[/C][C]1.89230769230769[/C][/ROW]
[ROW][C]242[/C][C]151[/C][C]66.3783783783784[/C][C]84.6216216216216[/C][/ROW]
[ROW][C]243[/C][C]52[/C][C]33.1076923076923[/C][C]18.8923076923077[/C][/ROW]
[ROW][C]244[/C][C]30[/C][C]22.36[/C][C]7.64[/C][/ROW]
[ROW][C]245[/C][C]31[/C][C]33.1076923076923[/C][C]-2.10769230769231[/C][/ROW]
[ROW][C]246[/C][C]29[/C][C]33.1076923076923[/C][C]-4.10769230769231[/C][/ROW]
[ROW][C]247[/C][C]57[/C][C]66.3783783783784[/C][C]-9.37837837837837[/C][/ROW]
[ROW][C]248[/C][C]40[/C][C]33.1076923076923[/C][C]6.89230769230769[/C][/ROW]
[ROW][C]249[/C][C]44[/C][C]33.1076923076923[/C][C]10.8923076923077[/C][/ROW]
[ROW][C]250[/C][C]25[/C][C]22.36[/C][C]2.64[/C][/ROW]
[ROW][C]251[/C][C]77[/C][C]66.3783783783784[/C][C]10.6216216216216[/C][/ROW]
[ROW][C]252[/C][C]35[/C][C]43.9444444444444[/C][C]-8.94444444444444[/C][/ROW]
[ROW][C]253[/C][C]11[/C][C]11.8[/C][C]-0.800000000000001[/C][/ROW]
[ROW][C]254[/C][C]63[/C][C]52.7321428571429[/C][C]10.2678571428571[/C][/ROW]
[ROW][C]255[/C][C]44[/C][C]33.1076923076923[/C][C]10.8923076923077[/C][/ROW]
[ROW][C]256[/C][C]19[/C][C]22.36[/C][C]-3.36[/C][/ROW]
[ROW][C]257[/C][C]13[/C][C]22.36[/C][C]-9.36[/C][/ROW]
[ROW][C]258[/C][C]42[/C][C]33.1076923076923[/C][C]8.89230769230769[/C][/ROW]
[ROW][C]259[/C][C]38[/C][C]22.36[/C][C]15.64[/C][/ROW]
[ROW][C]260[/C][C]29[/C][C]22.36[/C][C]6.64[/C][/ROW]
[ROW][C]261[/C][C]20[/C][C]22.36[/C][C]-2.36[/C][/ROW]
[ROW][C]262[/C][C]27[/C][C]33.1076923076923[/C][C]-6.10769230769231[/C][/ROW]
[ROW][C]263[/C][C]20[/C][C]22.36[/C][C]-2.36[/C][/ROW]
[ROW][C]264[/C][C]19[/C][C]33.1076923076923[/C][C]-14.1076923076923[/C][/ROW]
[ROW][C]265[/C][C]37[/C][C]33.1076923076923[/C][C]3.89230769230769[/C][/ROW]
[ROW][C]266[/C][C]26[/C][C]33.1076923076923[/C][C]-7.10769230769231[/C][/ROW]
[ROW][C]267[/C][C]42[/C][C]33.1076923076923[/C][C]8.89230769230769[/C][/ROW]
[ROW][C]268[/C][C]49[/C][C]33.1076923076923[/C][C]15.8923076923077[/C][/ROW]
[ROW][C]269[/C][C]30[/C][C]43.9444444444444[/C][C]-13.9444444444444[/C][/ROW]
[ROW][C]270[/C][C]49[/C][C]33.1076923076923[/C][C]15.8923076923077[/C][/ROW]
[ROW][C]271[/C][C]67[/C][C]52.7321428571429[/C][C]14.2678571428571[/C][/ROW]
[ROW][C]272[/C][C]28[/C][C]33.1076923076923[/C][C]-5.10769230769231[/C][/ROW]
[ROW][C]273[/C][C]19[/C][C]33.1076923076923[/C][C]-14.1076923076923[/C][/ROW]
[ROW][C]274[/C][C]49[/C][C]43.9444444444444[/C][C]5.05555555555556[/C][/ROW]
[ROW][C]275[/C][C]27[/C][C]33.1076923076923[/C][C]-6.10769230769231[/C][/ROW]
[ROW][C]276[/C][C]30[/C][C]33.1076923076923[/C][C]-3.10769230769231[/C][/ROW]
[ROW][C]277[/C][C]22[/C][C]22.36[/C][C]-0.359999999999999[/C][/ROW]
[ROW][C]278[/C][C]12[/C][C]11.8[/C][C]0.199999999999999[/C][/ROW]
[ROW][C]279[/C][C]31[/C][C]33.1076923076923[/C][C]-2.10769230769231[/C][/ROW]
[ROW][C]280[/C][C]20[/C][C]33.1076923076923[/C][C]-13.1076923076923[/C][/ROW]
[ROW][C]281[/C][C]20[/C][C]33.1076923076923[/C][C]-13.1076923076923[/C][/ROW]
[ROW][C]282[/C][C]39[/C][C]33.1076923076923[/C][C]5.89230769230769[/C][/ROW]
[ROW][C]283[/C][C]29[/C][C]33.1076923076923[/C][C]-4.10769230769231[/C][/ROW]
[ROW][C]284[/C][C]16[/C][C]22.36[/C][C]-6.36[/C][/ROW]
[ROW][C]285[/C][C]27[/C][C]33.1076923076923[/C][C]-6.10769230769231[/C][/ROW]
[ROW][C]286[/C][C]21[/C][C]33.1076923076923[/C][C]-12.1076923076923[/C][/ROW]
[ROW][C]287[/C][C]19[/C][C]33.1076923076923[/C][C]-14.1076923076923[/C][/ROW]
[ROW][C]288[/C][C]35[/C][C]33.1076923076923[/C][C]1.89230769230769[/C][/ROW]
[ROW][C]289[/C][C]14[/C][C]33.1076923076923[/C][C]-19.1076923076923[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158929&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158929&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	56	52.7321428571429	3.26785714285715
2	56	43.9444444444444	12.0555555555556
3	54	66.3783783783784	-12.3783783783784
4	89	106.658536585366	-17.6585365853659
5	40	43.9444444444444	-3.94444444444444
6	25	22.36	2.64
7	92	106.658536585366	-14.6585365853659
8	18	11.8	6.2
9	63	52.7321428571429	10.2678571428571
10	44	66.3783783783784	-22.3783783783784
11	33	52.7321428571429	-19.7321428571429
12	84	66.3783783783784	17.6216216216216
13	88	66.3783783783784	21.6216216216216
14	55	52.7321428571429	2.26785714285715
15	60	106.658536585366	-46.6585365853659
16	66	66.3783783783784	-0.378378378378372
17	154	106.658536585366	47.3414634146341
18	53	66.3783783783784	-13.3783783783784
19	119	106.658536585366	12.3414634146341
20	41	43.9444444444444	-2.94444444444444
21	61	66.3783783783784	-5.37837837837837
22	58	66.3783783783784	-8.37837837837837
23	75	106.658536585366	-31.6585365853659
24	33	52.7321428571429	-19.7321428571429
25	40	52.7321428571429	-12.7321428571429
26	92	106.658536585366	-14.6585365853659
27	100	106.658536585366	-6.65853658536585
28	112	106.658536585366	5.34146341463415
29	73	66.3783783783784	6.62162162162163
30	40	52.7321428571429	-12.7321428571429
31	45	66.3783783783784	-21.3783783783784
32	60	66.3783783783784	-6.37837837837837
33	62	66.3783783783784	-4.37837837837837
34	75	66.3783783783784	8.62162162162163
35	31	33.1076923076923	-2.10769230769231
36	77	106.658536585366	-29.6585365853659
37	34	43.9444444444444	-9.94444444444444
38	46	66.3783783783784	-20.3783783783784
39	99	106.658536585366	-7.65853658536585
40	17	11.8	5.2
41	66	66.3783783783784	-0.378378378378372
42	30	43.9444444444444	-13.9444444444444
43	76	66.3783783783784	9.62162162162163
44	146	106.658536585366	39.3414634146341
45	67	106.658536585366	-39.6585365853659
46	56	52.7321428571429	3.26785714285715
47	107	106.658536585366	0.341463414634148
48	58	52.7321428571429	5.26785714285715
49	34	43.9444444444444	-9.94444444444444
50	61	66.3783783783784	-5.37837837837837
51	119	106.658536585366	12.3414634146341
52	42	33.1076923076923	8.89230769230769
53	66	66.3783783783784	-0.378378378378372
54	89	106.658536585366	-17.6585365853659
55	44	66.3783783783784	-22.3783783783784
56	66	52.7321428571429	13.2678571428571
57	24	22.36	1.64
58	259	106.658536585366	152.341463414634
59	17	33.1076923076923	-16.1076923076923
60	64	43.9444444444444	20.0555555555556
61	41	106.658536585366	-65.6585365853659
62	68	66.3783783783784	1.62162162162163
63	168	106.658536585366	61.3414634146341
64	43	43.9444444444444	-0.944444444444443
65	132	106.658536585366	25.3414634146341
66	105	66.3783783783784	38.6216216216216
67	71	66.3783783783784	4.62162162162163
68	112	106.658536585366	5.34146341463415
69	94	106.658536585366	-12.6585365853659
70	82	66.3783783783784	15.6216216216216
71	70	66.3783783783784	3.62162162162163
72	57	52.7321428571429	4.26785714285715
73	53	52.7321428571429	0.267857142857146
74	103	66.3783783783784	36.6216216216216
75	121	106.658536585366	14.3414634146341
76	62	66.3783783783784	-4.37837837837837
77	52	52.7321428571429	-0.732142857142854
78	52	66.3783783783784	-14.3783783783784
79	32	33.1076923076923	-1.10769230769231
80	62	66.3783783783784	-4.37837837837837
81	45	52.7321428571429	-7.73214285714285
82	46	52.7321428571429	-6.73214285714285
83	63	66.3783783783784	-3.37837837837837
84	75	66.3783783783784	8.62162162162163
85	88	66.3783783783784	21.6216216216216
86	46	52.7321428571429	-6.73214285714285
87	53	52.7321428571429	0.267857142857146
88	37	52.7321428571429	-15.7321428571429
89	90	106.658536585366	-16.6585365853659
90	63	52.7321428571429	10.2678571428571
91	78	66.3783783783784	11.6216216216216
92	25	33.1076923076923	-8.10769230769231
93	45	66.3783783783784	-21.3783783783784
94	46	43.9444444444444	2.05555555555556
95	41	43.9444444444444	-2.94444444444444
96	144	106.658536585366	37.3414634146341
97	82	66.3783783783784	15.6216216216216
98	91	106.658536585366	-15.6585365853659
99	71	66.3783783783784	4.62162162162163
100	63	66.3783783783784	-3.37837837837837
101	53	52.7321428571429	0.267857142857146
102	62	106.658536585366	-44.6585365853659
103	63	66.3783783783784	-3.37837837837837
104	32	52.7321428571429	-20.7321428571429
105	39	52.7321428571429	-13.7321428571429
106	62	66.3783783783784	-4.37837837837837
107	117	106.658536585366	10.3414634146341
108	34	52.7321428571429	-18.7321428571429
109	92	106.658536585366	-14.6585365853659
110	93	66.3783783783784	26.6216216216216
111	54	66.3783783783784	-12.3783783783784
112	144	52.7321428571429	91.2678571428571
113	14	22.36	-8.36
114	61	66.3783783783784	-5.37837837837837
115	109	66.3783783783784	42.6216216216216
116	38	66.3783783783784	-28.3783783783784
117	73	66.3783783783784	6.62162162162163
118	75	66.3783783783784	8.62162162162163
119	50	43.9444444444444	6.05555555555556
120	61	66.3783783783784	-5.37837837837837
121	55	66.3783783783784	-11.3783783783784
122	77	52.7321428571429	24.2678571428571
123	75	66.3783783783784	8.62162162162163
124	72	52.7321428571429	19.2678571428571
125	50	52.7321428571429	-2.73214285714285
126	32	33.1076923076923	-1.10769230769231
127	53	43.9444444444444	9.05555555555556
128	42	52.7321428571429	-10.7321428571429
129	71	66.3783783783784	4.62162162162163
130	10	11.8	-1.8
131	35	33.1076923076923	1.89230769230769
132	65	66.3783783783784	-1.37837837837837
133	25	22.36	2.64
134	66	66.3783783783784	-0.378378378378372
135	41	52.7321428571429	-11.7321428571429
136	86	106.658536585366	-20.6585365853659
137	16	11.8	4.2
138	42	66.3783783783784	-24.3783783783784
139	19	22.36	-3.36
140	19	22.36	-3.36
141	45	33.1076923076923	11.8923076923077
142	65	66.3783783783784	-1.37837837837837
143	35	33.1076923076923	1.89230769230769
144	95	106.658536585366	-11.6585365853659
145	49	66.3783783783784	-17.3783783783784
146	37	66.3783783783784	-29.3783783783784
147	64	52.7321428571429	11.2678571428571
148	38	33.1076923076923	4.89230769230769
149	34	22.36	11.64
150	32	52.7321428571429	-20.7321428571429
151	65	106.658536585366	-41.6585365853659
152	52	43.9444444444444	8.05555555555556
153	62	52.7321428571429	9.26785714285715
154	65	106.658536585366	-41.6585365853659
155	83	66.3783783783784	16.6216216216216
156	95	106.658536585366	-11.6585365853659
157	29	43.9444444444444	-14.9444444444444
158	18	33.1076923076923	-15.1076923076923
159	33	33.1076923076923	-0.107692307692311
160	247	106.658536585366	140.341463414634
161	139	106.658536585366	32.3414634146341
162	29	33.1076923076923	-4.10769230769231
163	118	52.7321428571429	65.2678571428571
164	110	106.658536585366	3.34146341463415
165	67	66.3783783783784	0.621621621621628
166	42	52.7321428571429	-10.7321428571429
167	65	66.3783783783784	-1.37837837837837
168	94	52.7321428571429	41.2678571428571
169	64	43.9444444444444	20.0555555555556
170	81	66.3783783783784	14.6216216216216
171	95	106.658536585366	-11.6585365853659
172	67	66.3783783783784	0.621621621621628
173	63	66.3783783783784	-3.37837837837837
174	83	106.658536585366	-23.6585365853659
175	45	52.7321428571429	-7.73214285714285
176	30	66.3783783783784	-36.3783783783784
177	70	106.658536585366	-36.6585365853659
178	32	33.1076923076923	-1.10769230769231
179	83	66.3783783783784	16.6216216216216
180	31	52.7321428571429	-21.7321428571429
181	67	52.7321428571429	14.2678571428571
182	66	66.3783783783784	-0.378378378378372
183	10	11.8	-1.8
184	70	66.3783783783784	3.62162162162163
185	103	106.658536585366	-3.65853658536585
186	5	11.8	-6.8
187	20	22.36	-2.36
188	5	11.8	-6.8
189	36	66.3783783783784	-30.3783783783784
190	34	33.1076923076923	0.892307692307689
191	48	52.7321428571429	-4.73214285714285
192	40	33.1076923076923	6.89230769230769
193	43	52.7321428571429	-9.73214285714285
194	31	52.7321428571429	-21.7321428571429
195	42	52.7321428571429	-10.7321428571429
196	46	52.7321428571429	-6.73214285714285
197	33	33.1076923076923	-0.107692307692311
198	18	22.36	-4.36
199	55	52.7321428571429	2.26785714285715
200	35	33.1076923076923	1.89230769230769
201	59	33.1076923076923	25.8923076923077
202	19	22.36	-3.36
203	66	52.7321428571429	13.2678571428571
204	60	52.7321428571429	7.26785714285715
205	36	66.3783783783784	-30.3783783783784
206	25	22.36	2.64
207	47	33.1076923076923	13.8923076923077
208	54	66.3783783783784	-12.3783783783784
209	53	52.7321428571429	0.267857142857146
210	40	52.7321428571429	-12.7321428571429
211	40	52.7321428571429	-12.7321428571429
212	39	52.7321428571429	-13.7321428571429
213	14	22.36	-8.36
214	45	33.1076923076923	11.8923076923077
215	36	33.1076923076923	2.89230769230769
216	28	33.1076923076923	-5.10769230769231
217	44	33.1076923076923	10.8923076923077
218	30	33.1076923076923	-3.10769230769231
219	22	33.1076923076923	-11.1076923076923
220	17	22.36	-5.36
221	31	33.1076923076923	-2.10769230769231
222	55	66.3783783783784	-11.3783783783784
223	54	66.3783783783784	-12.3783783783784
224	21	33.1076923076923	-12.1076923076923
225	14	11.8	2.2
226	81	66.3783783783784	14.6216216216216
227	35	33.1076923076923	1.89230769230769
228	43	33.1076923076923	9.89230769230769
229	46	52.7321428571429	-6.73214285714285
230	30	52.7321428571429	-22.7321428571429
231	23	22.36	0.640000000000001
232	38	33.1076923076923	4.89230769230769
233	54	52.7321428571429	1.26785714285715
234	20	33.1076923076923	-13.1076923076923
235	53	33.1076923076923	19.8923076923077
236	45	33.1076923076923	11.8923076923077
237	39	52.7321428571429	-13.7321428571429
238	20	33.1076923076923	-13.1076923076923
239	24	33.1076923076923	-9.10769230769231
240	31	22.36	8.64
241	35	33.1076923076923	1.89230769230769
242	151	66.3783783783784	84.6216216216216
243	52	33.1076923076923	18.8923076923077
244	30	22.36	7.64
245	31	33.1076923076923	-2.10769230769231
246	29	33.1076923076923	-4.10769230769231
247	57	66.3783783783784	-9.37837837837837
248	40	33.1076923076923	6.89230769230769
249	44	33.1076923076923	10.8923076923077
250	25	22.36	2.64
251	77	66.3783783783784	10.6216216216216
252	35	43.9444444444444	-8.94444444444444
253	11	11.8	-0.800000000000001
254	63	52.7321428571429	10.2678571428571
255	44	33.1076923076923	10.8923076923077
256	19	22.36	-3.36
257	13	22.36	-9.36
258	42	33.1076923076923	8.89230769230769
259	38	22.36	15.64
260	29	22.36	6.64
261	20	22.36	-2.36
262	27	33.1076923076923	-6.10769230769231
263	20	22.36	-2.36
264	19	33.1076923076923	-14.1076923076923
265	37	33.1076923076923	3.89230769230769
266	26	33.1076923076923	-7.10769230769231
267	42	33.1076923076923	8.89230769230769
268	49	33.1076923076923	15.8923076923077
269	30	43.9444444444444	-13.9444444444444
270	49	33.1076923076923	15.8923076923077
271	67	52.7321428571429	14.2678571428571
272	28	33.1076923076923	-5.10769230769231
273	19	33.1076923076923	-14.1076923076923
274	49	43.9444444444444	5.05555555555556
275	27	33.1076923076923	-6.10769230769231
276	30	33.1076923076923	-3.10769230769231
277	22	22.36	-0.359999999999999
278	12	11.8	0.199999999999999
279	31	33.1076923076923	-2.10769230769231
280	20	33.1076923076923	-13.1076923076923
281	20	33.1076923076923	-13.1076923076923
282	39	33.1076923076923	5.89230769230769
283	29	33.1076923076923	-4.10769230769231
284	16	22.36	-6.36
285	27	33.1076923076923	-6.10769230769231
286	21	33.1076923076923	-12.1076923076923
287	19	33.1076923076923	-14.1076923076923
288	35	33.1076923076923	1.89230769230769
289	14	33.1076923076923	-19.1076923076923

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 = 3 ; par2 = none ; par3 = 3 ; par4 = no ;

Parameters (R input):

par1 = 3 ; 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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code