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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

Fri, 07 Dec 2012 05:57:59 -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/07/t1354877907xzqpydd99s567y7.htm/, Retrieved Tue, 23 Apr 2024 15:02:30 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197295, Retrieved Tue, 23 Apr 2024 15:02:30 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

118

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)] [Workshop 10 (3)] [2012-12-07 10:57:59] [de03d6ba395ecb425436b99f470cccc0] [Current]
-   P       [Recursive Partitioning (Regression Trees)] [Workshop 10 (4)] [2012-12-07 13:35:40] [e31fe164d58995c48777312ee804d655] 

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Dataseries X:

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Histogram

Boxplots

1418	210907	56	81	79	30
869	120982	56	55	58	28
1530	176508	54	50	60	38
2172	179321	89	125	108	30
901	123185	40	40	49	22
463	52746	25	37	0	26
3201	385534	92	63	121	25
371	33170	18	44	1	18
1192	101645	63	88	20	11
1583	149061	44	66	43	26
1439	165446	33	57	69	25
1764	237213	84	74	78	38
1495	173326	88	49	86	44
1373	133131	55	52	44	30
2187	258873	60	88	104	40
1491	180083	66	36	63	34
4041	324799	154	108	158	47
1706	230964	53	43	102	30
2152	236785	119	75	77	31
1036	135473	41	32	82	23
1882	202925	61	44	115	36
1929	215147	58	85	101	36
2242	344297	75	86	80	30
1220	153935	33	56	50	25
1289	132943	40	50	83	39
2515	174724	92	135	123	34
2147	174415	100	63	73	31
2352	225548	112	81	81	31
1638	223632	73	52	105	33
1222	124817	40	44	47	25
1812	221698	45	113	105	33
1677	210767	60	39	94	35
1579	170266	62	73	44	42
1731	260561	75	48	114	43
807	84853	31	33	38	30
2452	294424	77	59	107	33
829	101011	34	41	30	13
1940	215641	46	69	71	32
2662	325107	99	64	84	36
186	7176	17	1	0	0
1499	167542	66	59	59	28
865	106408	30	32	33	14
1793	96560	76	129	42	17
2527	265769	146	37	96	32
2747	269651	67	31	106	30
1324	149112	56	65	56	35
2702	175824	107	107	57	20
1383	152871	58	74	59	28
1179	111665	34	54	39	28
2099	116408	61	76	34	39
4308	362301	119	715	76	34
918	78800	42	57	20	26
1831	183167	66	66	91	39
3373	277965	89	106	115	39
1713	150629	44	54	85	33
1438	168809	66	32	76	28
496	24188	24	20	8	4
2253	329267	259	71	79	39
744	65029	17	21	21	18
1161	101097	64	70	30	14
2352	218946	41	112	76	29
2144	244052	68	66	101	44
4691	341570	168	190	94	21
1112	103597	43	66	27	16
2694	233328	132	165	92	28
1973	256462	105	56	123	35
1769	206161	71	61	75	28
3148	311473	112	53	128	38
2474	235800	94	127	105	23
2084	177939	82	63	55	36
1954	207176	70	38	56	32
1226	196553	57	50	41	29
1389	174184	53	52	72	25
1496	143246	103	42	67	27
2269	187559	121	76	75	36
1833	187681	62	67	114	28
1268	119016	52	50	118	23
1943	182192	52	53	77	40
893	73566	32	39	22	23
1762	194979	62	50	66	40
1403	167488	45	77	69	28
1425	143756	46	57	105	34
1857	275541	63	73	116	33
1840	243199	75	34	88	28
1502	182999	88	39	73	34
1441	135649	46	46	99	30
1420	152299	53	63	62	33
1416	120221	37	35	53	22
2970	346485	90	106	118	38
1317	145790	63	43	30	26
1644	193339	78	47	100	35
870	80953	25	31	49	8
1654	122774	45	162	24	24
1054	130585	46	57	67	29
937	112611	41	36	46	20
3004	286468	144	263	57	29
2008	241066	82	78	75	45
2547	148446	91	63	135	37
1885	204713	71	54	68	33
1626	182079	63	63	124	33
1468	140344	53	77	33	25
2445	220516	62	79	98	32
1964	243060	63	110	58	29
1381	162765	32	56	68	28
1369	182613	39	56	81	28
1659	232138	62	43	131	31
2888	265318	117	111	110	52
1290	85574	34	71	37	21
2845	310839	92	62	130	24
1982	225060	93	56	93	41
1904	232317	54	74	118	33
1391	144966	144	60	39	32
602	43287	14	43	13	19
1743	155754	61	68	74	20
1559	164709	109	53	81	31
2014	201940	38	87	109	31
2143	235454	73	46	151	32
2146	220801	75	105	51	18
874	99466	50	32	28	23
1590	92661	61	133	40	17
1590	133328	55	79	56	20
1210	61361	77	51	27	12
2072	125930	75	207	37	17
1281	100750	72	67	83	30
1401	224549	50	47	54	31
834	82316	32	34	27	10
1105	102010	53	66	28	13
1272	101523	42	76	59	22
1944	243511	71	65	133	42
391	22938	10	9	12	1
761	41566	35	42	0	9
1605	152474	65	45	106	32
530	61857	25	25	23	11
1988	99923	66	115	44	25
1386	132487	41	97	71	36
2395	317394	86	53	116	31
387	21054	16	2	4	0
1742	209641	42	52	62	24
620	22648	19	44	12	13
449	31414	19	22	18	8
800	46698	45	35	14	13
1684	131698	65	74	60	19
1050	91735	35	103	7	18
2699	244749	95	144	98	33
1606	184510	49	60	64	40
1502	79863	37	134	29	22
1204	128423	64	89	32	38
1138	97839	38	42	25	24
568	38214	34	52	16	8
1459	151101	32	98	48	35
2158	272458	65	99	100	43
1111	172494	52	52	46	43
1421	108043	62	29	45	14
2833	328107	65	125	129	41
1955	250579	83	106	130	38
2922	351067	95	95	136	45
1002	158015	29	40	59	31
1060	98866	18	140	25	13
956	85439	33	43	32	28
2186	229242	247	128	63	31
3604	351619	139	142	95	40
1035	84207	29	73	14	30
1417	120445	118	72	36	16
3261	324598	110	128	113	37
1587	131069	67	61	47	30
1424	204271	42	73	92	35
1701	165543	65	148	70	32
1249	141722	94	64	19	27
946	116048	64	45	50	20
1926	250047	81	58	41	18
3352	299775	95	97	91	31
1641	195838	67	50	111	31
2035	173260	63	37	41	21
2312	254488	83	50	120	39
1369	104389	45	105	135	41
1577	136084	30	69	27	13
2201	199476	70	46	87	32
961	92499	32	57	25	18
1900	224330	83	52	131	39
1254	135781	31	98	45	14
1335	74408	67	61	29	7
1597	81240	66	89	58	17
207	14688	10	0	4	0
1645	181633	70	48	47	30
2429	271856	103	91	109	37
151	7199	5	0	7	0
474	46660	20	7	12	5
141	17547	5	3	0	1
1639	133368	36	54	37	16
872	95227	34	70	37	32
1318	152601	48	36	46	24
1018	98146	40	37	15	17
1383	79619	43	123	42	11
1314	59194	31	247	7	24
1335	139942	42	46	54	22
1403	118612	46	72	54	12
910	72880	33	41	14	19
616	65475	18	24	16	13
1407	99643	55	45	33	17
771	71965	35	33	32	15
766	77272	59	27	21	16
473	49289	19	36	15	24
1376	135131	66	87	38	15
1232	108446	60	90	22	17
1521	89746	36	114	28	18
572	44296	25	31	10	20
1059	77648	47	45	31	16
1544	181528	54	69	32	16
1230	134019	53	51	32	18
1206	124064	40	34	43	22
1205	92630	40	60	27	8
1255	121848	39	45	37	17
613	52915	14	54	20	18
721	81872	45	25	32	16
1109	58981	36	38	0	23
740	53515	28	52	5	22
1126	60812	44	67	26	13
728	56375	30	74	10	13
689	65490	22	38	27	16
592	80949	17	30	11	16
995	76302	31	26	29	20
1613	104011	55	67	25	22
2048	98104	54	132	55	17
705	67989	21	42	23	18
301	30989	14	35	5	17
1803	135458	81	118	43	12
799	73504	35	68	23	7
861	63123	43	43	34	17
1186	61254	46	76	36	14
1451	74914	30	64	35	23
628	31774	23	48	0	17
1161	81437	38	64	37	14
1463	87186	54	56	28	15
742	50090	20	71	16	17
979	65745	53	75	26	21
675	56653	45	39	38	18
1241	158399	39	42	23	18
676	46455	20	39	22	17
1049	73624	24	93	30	17
620	38395	31	38	16	16
1081	91899	35	60	18	15
1688	139526	151	71	28	21
736	52164	52	52	32	16
617	51567	30	27	21	14
812	70551	31	59	23	15
1051	84856	29	40	29	17
1656	102538	57	79	50	15
705	86678	40	44	12	15
945	85709	44	65	21	10
554	34662	25	10	18	6
1597	150580	77	124	27	22
982	99611	35	81	41	21
222	19349	11	15	13	1
1212	99373	63	92	12	18
1143	86230	44	42	21	17
435	30837	19	10	8	4
532	31706	13	24	26	10
882	89806	42	64	27	16
608	62088	38	45	13	16
459	40151	29	22	16	9
578	27634	20	56	2	16
826	76990	27	94	42	17
509	37460	20	19	5	7
717	54157	19	35	37	15
637	49862	37	32	17	14
857	84337	26	35	38	14
830	64175	42	48	37	18
652	59382	49	49	29	12
707	119308	30	48	32	16
954	76702	49	62	35	21
1461	103425	67	96	17	19
672	70344	28	45	20	16
778	43410	19	63	7	1
1141	104838	49	71	46	16
680	62215	27	26	24	10
1090	69304	30	48	40	19
616	53117	22	29	3	12
285	19764	12	19	10	2
1145	86680	31	45	37	14
733	84105	20	45	17	17
888	77945	20	67	28	19
849	89113	39	30	19	14
1182	91005	29	36	29	11
528	40248	16	34	8	4
642	64187	27	36	10	16
947	50857	21	34	15	20
819	56613	19	37	15	12
757	62792	35	46	28	15
894	72535	14	44	17	16

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	8 seconds
R Server	'Herman Ole Andreas Wold' @ wold.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 & 8 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197295&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]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197295&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197295&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	8 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Goodness of Fit
Correlation	0.8769
R-squared	0.7689
RMSE	17.7079

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.8769 \tabularnewline
R-squared & 0.7689 \tabularnewline
RMSE & 17.7079 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197295&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.8769[/C][/ROW]
[ROW][C]R-squared[/C][C]0.7689[/C][/ROW]
[ROW][C]RMSE[/C][C]17.7079[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197295&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197295&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	0.8769
R-squared	0.7689
RMSE	17.7079

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	79	59.53125	19.46875
2	58	41.5227272727273	16.4772727272727
3	60	59.53125	0.46875
4	108	84.0882352941177	23.9117647058823
5	49	41.5227272727273	7.47727272727273
6	0	10.6216216216216	-10.6216216216216
7	121	88.7894736842105	32.2105263157895
8	1	10.6216216216216	-9.62162162162162
9	20	41.5227272727273	-21.5227272727273
10	43	59.53125	-16.53125
11	69	59.53125	9.46875
12	78	110.545454545455	-32.5454545454545
13	86	59.53125	26.46875
14	44	69.5	-25.5
15	104	110.545454545455	-6.54545454545455
16	63	59.53125	3.46875
17	158	110.545454545455	47.4545454545455
18	102	88.7894736842105	13.2105263157895
19	77	88.7894736842105	-11.7894736842105
20	82	41.5227272727273	40.4772727272727
21	115	84.0882352941177	30.9117647058823
22	101	84.0882352941177	16.9117647058823
23	80	88.7894736842105	-8.78947368421052
24	50	59.53125	-9.53125
25	83	69.5	13.5
26	123	84.0882352941177	38.9117647058823
27	73	84.0882352941177	-11.0882352941177
28	81	88.7894736842105	-7.78947368421052
29	105	110.545454545455	-5.54545454545455
30	47	41.5227272727273	5.47727272727273
31	105	110.545454545455	-5.54545454545455
32	94	84.0882352941177	9.91176470588235
33	44	59.53125	-15.53125
34	114	110.545454545455	3.45454545454545
35	38	24.6056338028169	13.3943661971831
36	107	110.545454545455	-3.54545454545455
37	30	41.5227272727273	-11.5227272727273
38	71	84.0882352941177	-13.0882352941177
39	84	110.545454545455	-26.5454545454545
40	0	10.6216216216216	-10.6216216216216
41	59	59.53125	-0.53125
42	33	41.5227272727273	-8.52272727272727
43	42	39.6666666666667	2.33333333333334
44	96	110.545454545455	-14.5454545454545
45	106	88.7894736842105	17.2105263157895
46	56	59.53125	-3.53125
47	57	84.0882352941177	-27.0882352941177
48	59	59.53125	-0.53125
49	39	41.5227272727273	-2.52272727272727
50	34	69.5	-35.5
51	76	110.545454545455	-34.5454545454545
52	20	24.6056338028169	-4.6056338028169
53	91	84.0882352941177	6.91176470588235
54	115	110.545454545455	4.45454545454545
55	85	84.0882352941177	0.911764705882348
56	76	59.53125	16.46875
57	8	10.6216216216216	-2.62162162162162
58	79	110.545454545455	-31.5454545454545
59	21	24.6056338028169	-3.6056338028169
60	30	41.5227272727273	-11.5227272727273
61	76	84.0882352941177	-8.08823529411765
62	101	110.545454545455	-9.54545454545455
63	94	88.7894736842105	5.21052631578948
64	27	41.5227272727273	-14.5227272727273
65	92	88.7894736842105	3.21052631578948
66	123	110.545454545455	12.4545454545455
67	75	84.0882352941177	-9.08823529411765
68	128	110.545454545455	17.4545454545455
69	105	88.7894736842105	16.2105263157895
70	55	84.0882352941177	-29.0882352941177
71	56	84.0882352941177	-28.0882352941177
72	41	59.53125	-18.53125
73	72	59.53125	12.46875
74	67	59.53125	7.46875
75	75	84.0882352941177	-9.08823529411765
76	114	84.0882352941177	29.9117647058823
77	118	41.5227272727273	76.4772727272727
78	77	84.0882352941177	-7.08823529411765
79	22	24.6056338028169	-2.6056338028169
80	66	84.0882352941177	-18.0882352941177
81	69	59.53125	9.46875
82	105	59.53125	45.46875
83	116	110.545454545455	5.45454545454545
84	88	88.7894736842105	-0.78947368421052
85	73	59.53125	13.46875
86	99	69.5	29.5
87	62	59.53125	2.46875
88	53	41.5227272727273	11.4772727272727
89	118	110.545454545455	7.45454545454545
90	30	59.53125	-29.53125
91	100	84.0882352941177	15.9117647058823
92	49	24.6056338028169	24.3943661971831
93	24	41.5227272727273	-17.5227272727273
94	67	69.5	-2.5
95	46	41.5227272727273	4.47727272727273
96	57	88.7894736842105	-31.7894736842105
97	75	110.545454545455	-35.5454545454545
98	135	84.0882352941177	50.9117647058823
99	68	84.0882352941177	-16.0882352941177
100	124	84.0882352941177	39.9117647058823
101	33	41.5227272727273	-8.52272727272727
102	98	84.0882352941177	13.9117647058823
103	58	88.7894736842105	-30.7894736842105
104	68	59.53125	8.46875
105	81	59.53125	21.46875
106	131	88.7894736842105	42.2105263157895
107	110	110.545454545455	-0.545454545454547
108	37	24.6056338028169	12.3943661971831
109	130	88.7894736842105	41.2105263157895
110	93	110.545454545455	-17.5454545454545
111	118	110.545454545455	7.45454545454545
112	39	59.53125	-20.53125
113	13	10.6216216216216	2.37837837837838
114	74	84.0882352941177	-10.0882352941177
115	81	59.53125	21.46875
116	109	84.0882352941177	24.9117647058823
117	151	110.545454545455	40.4545454545455
118	51	84.0882352941177	-33.0882352941177
119	28	24.6056338028169	3.3943661971831
120	40	39.6666666666667	0.333333333333336
121	56	41.5227272727273	14.4772727272727
122	27	24.6056338028169	2.3943661971831
123	37	41.5227272727273	-4.52272727272727
124	83	69.5	13.5
125	54	88.7894736842105	-34.7894736842105
126	27	24.6056338028169	2.3943661971831
127	28	41.5227272727273	-13.5227272727273
128	59	41.5227272727273	17.4772727272727
129	133	110.545454545455	22.4545454545455
130	12	10.6216216216216	1.37837837837838
131	0	24.6056338028169	-24.6056338028169
132	106	84.0882352941177	21.9117647058823
133	23	10.6216216216216	12.3783783783784
134	44	41.5227272727273	2.47727272727273
135	71	69.5	1.5
136	116	88.7894736842105	27.2105263157895
137	4	10.6216216216216	-6.62162162162162
138	62	84.0882352941177	-22.0882352941177
139	12	10.6216216216216	1.37837837837838
140	18	10.6216216216216	7.37837837837838
141	14	24.6056338028169	-10.6056338028169
142	60	41.5227272727273	18.4772727272727
143	7	24.6056338028169	-17.6056338028169
144	98	110.545454545455	-12.5454545454545
145	64	84.0882352941177	-20.0882352941177
146	29	39.6666666666667	-10.6666666666667
147	32	69.5	-37.5
148	25	24.6056338028169	0.3943661971831
149	16	10.6216216216216	5.37837837837838
150	48	59.53125	-11.53125
151	100	110.545454545455	-10.5454545454545
152	46	59.53125	-13.53125
153	45	41.5227272727273	3.47727272727273
154	129	110.545454545455	18.4545454545455
155	130	110.545454545455	19.4545454545455
156	136	110.545454545455	25.4545454545455
157	59	59.53125	-0.53125
158	25	24.6056338028169	0.3943661971831
159	32	24.6056338028169	7.3943661971831
160	63	88.7894736842105	-25.7894736842105
161	95	110.545454545455	-15.5454545454545
162	14	24.6056338028169	-10.6056338028169
163	36	41.5227272727273	-5.52272727272727
164	113	110.545454545455	2.45454545454545
165	47	69.5	-22.5
166	92	59.53125	32.46875
167	70	84.0882352941177	-14.0882352941177
168	19	41.5227272727273	-22.5227272727273
169	50	41.5227272727273	8.47727272727273
170	41	88.7894736842105	-47.7894736842105
171	91	88.7894736842105	2.21052631578948
172	111	84.0882352941177	26.9117647058823
173	41	84.0882352941177	-43.0882352941177
174	120	110.545454545455	9.45454545454545
175	135	69.5	65.5
176	27	41.5227272727273	-14.5227272727273
177	87	84.0882352941177	2.91176470588235
178	25	24.6056338028169	0.3943661971831
179	131	110.545454545455	20.4545454545455
180	45	41.5227272727273	3.47727272727273
181	29	24.6056338028169	4.3943661971831
182	58	39.6666666666667	18.3333333333333
183	4	10.6216216216216	-6.62162162162162
184	47	84.0882352941177	-37.0882352941177
185	109	110.545454545455	-1.54545454545455
186	7	10.6216216216216	-3.62162162162162
187	12	10.6216216216216	1.37837837837838
188	0	10.6216216216216	-10.6216216216216
189	37	41.5227272727273	-4.52272727272727
190	37	24.6056338028169	12.3943661971831
191	46	59.53125	-13.53125
192	15	24.6056338028169	-9.6056338028169
193	42	39.6666666666667	2.33333333333334
194	7	24.6056338028169	-17.6056338028169
195	54	41.5227272727273	12.4772727272727
196	54	41.5227272727273	12.4772727272727
197	14	24.6056338028169	-10.6056338028169
198	16	10.6216216216216	5.37837837837838
199	33	41.5227272727273	-8.52272727272727
200	32	24.6056338028169	7.3943661971831
201	21	24.6056338028169	-3.6056338028169
202	15	10.6216216216216	4.37837837837838
203	38	41.5227272727273	-3.52272727272727
204	22	41.5227272727273	-19.5227272727273
205	28	39.6666666666667	-11.6666666666667
206	10	10.6216216216216	-0.621621621621621
207	31	24.6056338028169	6.3943661971831
208	32	59.53125	-27.53125
209	32	41.5227272727273	-9.52272727272727
210	43	41.5227272727273	1.47727272727273
211	27	24.6056338028169	2.3943661971831
212	37	41.5227272727273	-4.52272727272727
213	20	10.6216216216216	9.37837837837838
214	32	24.6056338028169	7.3943661971831
215	0	24.6056338028169	-24.6056338028169
216	5	24.6056338028169	-19.6056338028169
217	26	24.6056338028169	1.3943661971831
218	10	24.6056338028169	-14.6056338028169
219	27	24.6056338028169	2.3943661971831
220	11	10.6216216216216	0.378378378378379
221	29	24.6056338028169	4.3943661971831
222	25	41.5227272727273	-16.5227272727273
223	55	39.6666666666667	15.3333333333333
224	23	24.6056338028169	-1.6056338028169
225	5	10.6216216216216	-5.62162162162162
226	43	41.5227272727273	1.47727272727273
227	23	24.6056338028169	-1.6056338028169
228	34	24.6056338028169	9.3943661971831
229	36	24.6056338028169	11.3943661971831
230	35	39.6666666666667	-4.66666666666666
231	0	10.6216216216216	-10.6216216216216
232	37	24.6056338028169	12.3943661971831
233	28	39.6666666666667	-11.6666666666667
234	16	24.6056338028169	-8.6056338028169
235	26	24.6056338028169	1.3943661971831
236	38	24.6056338028169	13.3943661971831
237	23	59.53125	-36.53125
238	22	24.6056338028169	-2.6056338028169
239	30	24.6056338028169	5.3943661971831
240	16	10.6216216216216	5.37837837837838
241	18	24.6056338028169	-6.6056338028169
242	28	41.5227272727273	-13.5227272727273
243	32	24.6056338028169	7.3943661971831
244	21	10.6216216216216	10.3783783783784
245	23	24.6056338028169	-1.6056338028169
246	29	24.6056338028169	4.3943661971831
247	50	41.5227272727273	8.47727272727273
248	12	24.6056338028169	-12.6056338028169
249	21	24.6056338028169	-3.6056338028169
250	18	10.6216216216216	7.37837837837838
251	27	59.53125	-32.53125
252	41	41.5227272727273	-0.522727272727273
253	13	10.6216216216216	2.37837837837838
254	12	24.6056338028169	-12.6056338028169
255	21	24.6056338028169	-3.6056338028169
256	8	10.6216216216216	-2.62162162162162
257	26	10.6216216216216	15.3783783783784
258	27	24.6056338028169	2.3943661971831
259	13	10.6216216216216	2.37837837837838
260	16	10.6216216216216	5.37837837837838
261	2	10.6216216216216	-8.62162162162162
262	42	24.6056338028169	17.3943661971831
263	5	10.6216216216216	-5.62162162162162
264	37	24.6056338028169	12.3943661971831
265	17	10.6216216216216	6.37837837837838
266	38	24.6056338028169	13.3943661971831
267	37	24.6056338028169	12.3943661971831
268	29	24.6056338028169	4.3943661971831
269	32	41.5227272727273	-9.52272727272727
270	35	24.6056338028169	10.3943661971831
271	17	41.5227272727273	-24.5227272727273
272	20	24.6056338028169	-4.6056338028169
273	7	24.6056338028169	-17.6056338028169
274	46	41.5227272727273	4.47727272727273
275	24	24.6056338028169	-0.6056338028169
276	40	24.6056338028169	15.3943661971831
277	3	10.6216216216216	-7.62162162162162
278	10	10.6216216216216	-0.621621621621621
279	37	24.6056338028169	12.3943661971831
280	17	24.6056338028169	-7.6056338028169
281	28	24.6056338028169	3.3943661971831
282	19	24.6056338028169	-5.6056338028169
283	29	24.6056338028169	4.3943661971831
284	8	10.6216216216216	-2.62162162162162
285	10	10.6216216216216	-0.621621621621621
286	15	24.6056338028169	-9.6056338028169
287	15	24.6056338028169	-9.6056338028169
288	28	24.6056338028169	3.3943661971831
289	17	24.6056338028169	-7.6056338028169

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 79 & 59.53125 & 19.46875 \tabularnewline
2 & 58 & 41.5227272727273 & 16.4772727272727 \tabularnewline
3 & 60 & 59.53125 & 0.46875 \tabularnewline
4 & 108 & 84.0882352941177 & 23.9117647058823 \tabularnewline
5 & 49 & 41.5227272727273 & 7.47727272727273 \tabularnewline
6 & 0 & 10.6216216216216 & -10.6216216216216 \tabularnewline
7 & 121 & 88.7894736842105 & 32.2105263157895 \tabularnewline
8 & 1 & 10.6216216216216 & -9.62162162162162 \tabularnewline
9 & 20 & 41.5227272727273 & -21.5227272727273 \tabularnewline
10 & 43 & 59.53125 & -16.53125 \tabularnewline
11 & 69 & 59.53125 & 9.46875 \tabularnewline
12 & 78 & 110.545454545455 & -32.5454545454545 \tabularnewline
13 & 86 & 59.53125 & 26.46875 \tabularnewline
14 & 44 & 69.5 & -25.5 \tabularnewline
15 & 104 & 110.545454545455 & -6.54545454545455 \tabularnewline
16 & 63 & 59.53125 & 3.46875 \tabularnewline
17 & 158 & 110.545454545455 & 47.4545454545455 \tabularnewline
18 & 102 & 88.7894736842105 & 13.2105263157895 \tabularnewline
19 & 77 & 88.7894736842105 & -11.7894736842105 \tabularnewline
20 & 82 & 41.5227272727273 & 40.4772727272727 \tabularnewline
21 & 115 & 84.0882352941177 & 30.9117647058823 \tabularnewline
22 & 101 & 84.0882352941177 & 16.9117647058823 \tabularnewline
23 & 80 & 88.7894736842105 & -8.78947368421052 \tabularnewline
24 & 50 & 59.53125 & -9.53125 \tabularnewline
25 & 83 & 69.5 & 13.5 \tabularnewline
26 & 123 & 84.0882352941177 & 38.9117647058823 \tabularnewline
27 & 73 & 84.0882352941177 & -11.0882352941177 \tabularnewline
28 & 81 & 88.7894736842105 & -7.78947368421052 \tabularnewline
29 & 105 & 110.545454545455 & -5.54545454545455 \tabularnewline
30 & 47 & 41.5227272727273 & 5.47727272727273 \tabularnewline
31 & 105 & 110.545454545455 & -5.54545454545455 \tabularnewline
32 & 94 & 84.0882352941177 & 9.91176470588235 \tabularnewline
33 & 44 & 59.53125 & -15.53125 \tabularnewline
34 & 114 & 110.545454545455 & 3.45454545454545 \tabularnewline
35 & 38 & 24.6056338028169 & 13.3943661971831 \tabularnewline
36 & 107 & 110.545454545455 & -3.54545454545455 \tabularnewline
37 & 30 & 41.5227272727273 & -11.5227272727273 \tabularnewline
38 & 71 & 84.0882352941177 & -13.0882352941177 \tabularnewline
39 & 84 & 110.545454545455 & -26.5454545454545 \tabularnewline
40 & 0 & 10.6216216216216 & -10.6216216216216 \tabularnewline
41 & 59 & 59.53125 & -0.53125 \tabularnewline
42 & 33 & 41.5227272727273 & -8.52272727272727 \tabularnewline
43 & 42 & 39.6666666666667 & 2.33333333333334 \tabularnewline
44 & 96 & 110.545454545455 & -14.5454545454545 \tabularnewline
45 & 106 & 88.7894736842105 & 17.2105263157895 \tabularnewline
46 & 56 & 59.53125 & -3.53125 \tabularnewline
47 & 57 & 84.0882352941177 & -27.0882352941177 \tabularnewline
48 & 59 & 59.53125 & -0.53125 \tabularnewline
49 & 39 & 41.5227272727273 & -2.52272727272727 \tabularnewline
50 & 34 & 69.5 & -35.5 \tabularnewline
51 & 76 & 110.545454545455 & -34.5454545454545 \tabularnewline
52 & 20 & 24.6056338028169 & -4.6056338028169 \tabularnewline
53 & 91 & 84.0882352941177 & 6.91176470588235 \tabularnewline
54 & 115 & 110.545454545455 & 4.45454545454545 \tabularnewline
55 & 85 & 84.0882352941177 & 0.911764705882348 \tabularnewline
56 & 76 & 59.53125 & 16.46875 \tabularnewline
57 & 8 & 10.6216216216216 & -2.62162162162162 \tabularnewline
58 & 79 & 110.545454545455 & -31.5454545454545 \tabularnewline
59 & 21 & 24.6056338028169 & -3.6056338028169 \tabularnewline
60 & 30 & 41.5227272727273 & -11.5227272727273 \tabularnewline
61 & 76 & 84.0882352941177 & -8.08823529411765 \tabularnewline
62 & 101 & 110.545454545455 & -9.54545454545455 \tabularnewline
63 & 94 & 88.7894736842105 & 5.21052631578948 \tabularnewline
64 & 27 & 41.5227272727273 & -14.5227272727273 \tabularnewline
65 & 92 & 88.7894736842105 & 3.21052631578948 \tabularnewline
66 & 123 & 110.545454545455 & 12.4545454545455 \tabularnewline
67 & 75 & 84.0882352941177 & -9.08823529411765 \tabularnewline
68 & 128 & 110.545454545455 & 17.4545454545455 \tabularnewline
69 & 105 & 88.7894736842105 & 16.2105263157895 \tabularnewline
70 & 55 & 84.0882352941177 & -29.0882352941177 \tabularnewline
71 & 56 & 84.0882352941177 & -28.0882352941177 \tabularnewline
72 & 41 & 59.53125 & -18.53125 \tabularnewline
73 & 72 & 59.53125 & 12.46875 \tabularnewline
74 & 67 & 59.53125 & 7.46875 \tabularnewline
75 & 75 & 84.0882352941177 & -9.08823529411765 \tabularnewline
76 & 114 & 84.0882352941177 & 29.9117647058823 \tabularnewline
77 & 118 & 41.5227272727273 & 76.4772727272727 \tabularnewline
78 & 77 & 84.0882352941177 & -7.08823529411765 \tabularnewline
79 & 22 & 24.6056338028169 & -2.6056338028169 \tabularnewline
80 & 66 & 84.0882352941177 & -18.0882352941177 \tabularnewline
81 & 69 & 59.53125 & 9.46875 \tabularnewline
82 & 105 & 59.53125 & 45.46875 \tabularnewline
83 & 116 & 110.545454545455 & 5.45454545454545 \tabularnewline
84 & 88 & 88.7894736842105 & -0.78947368421052 \tabularnewline
85 & 73 & 59.53125 & 13.46875 \tabularnewline
86 & 99 & 69.5 & 29.5 \tabularnewline
87 & 62 & 59.53125 & 2.46875 \tabularnewline
88 & 53 & 41.5227272727273 & 11.4772727272727 \tabularnewline
89 & 118 & 110.545454545455 & 7.45454545454545 \tabularnewline
90 & 30 & 59.53125 & -29.53125 \tabularnewline
91 & 100 & 84.0882352941177 & 15.9117647058823 \tabularnewline
92 & 49 & 24.6056338028169 & 24.3943661971831 \tabularnewline
93 & 24 & 41.5227272727273 & -17.5227272727273 \tabularnewline
94 & 67 & 69.5 & -2.5 \tabularnewline
95 & 46 & 41.5227272727273 & 4.47727272727273 \tabularnewline
96 & 57 & 88.7894736842105 & -31.7894736842105 \tabularnewline
97 & 75 & 110.545454545455 & -35.5454545454545 \tabularnewline
98 & 135 & 84.0882352941177 & 50.9117647058823 \tabularnewline
99 & 68 & 84.0882352941177 & -16.0882352941177 \tabularnewline
100 & 124 & 84.0882352941177 & 39.9117647058823 \tabularnewline
101 & 33 & 41.5227272727273 & -8.52272727272727 \tabularnewline
102 & 98 & 84.0882352941177 & 13.9117647058823 \tabularnewline
103 & 58 & 88.7894736842105 & -30.7894736842105 \tabularnewline
104 & 68 & 59.53125 & 8.46875 \tabularnewline
105 & 81 & 59.53125 & 21.46875 \tabularnewline
106 & 131 & 88.7894736842105 & 42.2105263157895 \tabularnewline
107 & 110 & 110.545454545455 & -0.545454545454547 \tabularnewline
108 & 37 & 24.6056338028169 & 12.3943661971831 \tabularnewline
109 & 130 & 88.7894736842105 & 41.2105263157895 \tabularnewline
110 & 93 & 110.545454545455 & -17.5454545454545 \tabularnewline
111 & 118 & 110.545454545455 & 7.45454545454545 \tabularnewline
112 & 39 & 59.53125 & -20.53125 \tabularnewline
113 & 13 & 10.6216216216216 & 2.37837837837838 \tabularnewline
114 & 74 & 84.0882352941177 & -10.0882352941177 \tabularnewline
115 & 81 & 59.53125 & 21.46875 \tabularnewline
116 & 109 & 84.0882352941177 & 24.9117647058823 \tabularnewline
117 & 151 & 110.545454545455 & 40.4545454545455 \tabularnewline
118 & 51 & 84.0882352941177 & -33.0882352941177 \tabularnewline
119 & 28 & 24.6056338028169 & 3.3943661971831 \tabularnewline
120 & 40 & 39.6666666666667 & 0.333333333333336 \tabularnewline
121 & 56 & 41.5227272727273 & 14.4772727272727 \tabularnewline
122 & 27 & 24.6056338028169 & 2.3943661971831 \tabularnewline
123 & 37 & 41.5227272727273 & -4.52272727272727 \tabularnewline
124 & 83 & 69.5 & 13.5 \tabularnewline
125 & 54 & 88.7894736842105 & -34.7894736842105 \tabularnewline
126 & 27 & 24.6056338028169 & 2.3943661971831 \tabularnewline
127 & 28 & 41.5227272727273 & -13.5227272727273 \tabularnewline
128 & 59 & 41.5227272727273 & 17.4772727272727 \tabularnewline
129 & 133 & 110.545454545455 & 22.4545454545455 \tabularnewline
130 & 12 & 10.6216216216216 & 1.37837837837838 \tabularnewline
131 & 0 & 24.6056338028169 & -24.6056338028169 \tabularnewline
132 & 106 & 84.0882352941177 & 21.9117647058823 \tabularnewline
133 & 23 & 10.6216216216216 & 12.3783783783784 \tabularnewline
134 & 44 & 41.5227272727273 & 2.47727272727273 \tabularnewline
135 & 71 & 69.5 & 1.5 \tabularnewline
136 & 116 & 88.7894736842105 & 27.2105263157895 \tabularnewline
137 & 4 & 10.6216216216216 & -6.62162162162162 \tabularnewline
138 & 62 & 84.0882352941177 & -22.0882352941177 \tabularnewline
139 & 12 & 10.6216216216216 & 1.37837837837838 \tabularnewline
140 & 18 & 10.6216216216216 & 7.37837837837838 \tabularnewline
141 & 14 & 24.6056338028169 & -10.6056338028169 \tabularnewline
142 & 60 & 41.5227272727273 & 18.4772727272727 \tabularnewline
143 & 7 & 24.6056338028169 & -17.6056338028169 \tabularnewline
144 & 98 & 110.545454545455 & -12.5454545454545 \tabularnewline
145 & 64 & 84.0882352941177 & -20.0882352941177 \tabularnewline
146 & 29 & 39.6666666666667 & -10.6666666666667 \tabularnewline
147 & 32 & 69.5 & -37.5 \tabularnewline
148 & 25 & 24.6056338028169 & 0.3943661971831 \tabularnewline
149 & 16 & 10.6216216216216 & 5.37837837837838 \tabularnewline
150 & 48 & 59.53125 & -11.53125 \tabularnewline
151 & 100 & 110.545454545455 & -10.5454545454545 \tabularnewline
152 & 46 & 59.53125 & -13.53125 \tabularnewline
153 & 45 & 41.5227272727273 & 3.47727272727273 \tabularnewline
154 & 129 & 110.545454545455 & 18.4545454545455 \tabularnewline
155 & 130 & 110.545454545455 & 19.4545454545455 \tabularnewline
156 & 136 & 110.545454545455 & 25.4545454545455 \tabularnewline
157 & 59 & 59.53125 & -0.53125 \tabularnewline
158 & 25 & 24.6056338028169 & 0.3943661971831 \tabularnewline
159 & 32 & 24.6056338028169 & 7.3943661971831 \tabularnewline
160 & 63 & 88.7894736842105 & -25.7894736842105 \tabularnewline
161 & 95 & 110.545454545455 & -15.5454545454545 \tabularnewline
162 & 14 & 24.6056338028169 & -10.6056338028169 \tabularnewline
163 & 36 & 41.5227272727273 & -5.52272727272727 \tabularnewline
164 & 113 & 110.545454545455 & 2.45454545454545 \tabularnewline
165 & 47 & 69.5 & -22.5 \tabularnewline
166 & 92 & 59.53125 & 32.46875 \tabularnewline
167 & 70 & 84.0882352941177 & -14.0882352941177 \tabularnewline
168 & 19 & 41.5227272727273 & -22.5227272727273 \tabularnewline
169 & 50 & 41.5227272727273 & 8.47727272727273 \tabularnewline
170 & 41 & 88.7894736842105 & -47.7894736842105 \tabularnewline
171 & 91 & 88.7894736842105 & 2.21052631578948 \tabularnewline
172 & 111 & 84.0882352941177 & 26.9117647058823 \tabularnewline
173 & 41 & 84.0882352941177 & -43.0882352941177 \tabularnewline
174 & 120 & 110.545454545455 & 9.45454545454545 \tabularnewline
175 & 135 & 69.5 & 65.5 \tabularnewline
176 & 27 & 41.5227272727273 & -14.5227272727273 \tabularnewline
177 & 87 & 84.0882352941177 & 2.91176470588235 \tabularnewline
178 & 25 & 24.6056338028169 & 0.3943661971831 \tabularnewline
179 & 131 & 110.545454545455 & 20.4545454545455 \tabularnewline
180 & 45 & 41.5227272727273 & 3.47727272727273 \tabularnewline
181 & 29 & 24.6056338028169 & 4.3943661971831 \tabularnewline
182 & 58 & 39.6666666666667 & 18.3333333333333 \tabularnewline
183 & 4 & 10.6216216216216 & -6.62162162162162 \tabularnewline
184 & 47 & 84.0882352941177 & -37.0882352941177 \tabularnewline
185 & 109 & 110.545454545455 & -1.54545454545455 \tabularnewline
186 & 7 & 10.6216216216216 & -3.62162162162162 \tabularnewline
187 & 12 & 10.6216216216216 & 1.37837837837838 \tabularnewline
188 & 0 & 10.6216216216216 & -10.6216216216216 \tabularnewline
189 & 37 & 41.5227272727273 & -4.52272727272727 \tabularnewline
190 & 37 & 24.6056338028169 & 12.3943661971831 \tabularnewline
191 & 46 & 59.53125 & -13.53125 \tabularnewline
192 & 15 & 24.6056338028169 & -9.6056338028169 \tabularnewline
193 & 42 & 39.6666666666667 & 2.33333333333334 \tabularnewline
194 & 7 & 24.6056338028169 & -17.6056338028169 \tabularnewline
195 & 54 & 41.5227272727273 & 12.4772727272727 \tabularnewline
196 & 54 & 41.5227272727273 & 12.4772727272727 \tabularnewline
197 & 14 & 24.6056338028169 & -10.6056338028169 \tabularnewline
198 & 16 & 10.6216216216216 & 5.37837837837838 \tabularnewline
199 & 33 & 41.5227272727273 & -8.52272727272727 \tabularnewline
200 & 32 & 24.6056338028169 & 7.3943661971831 \tabularnewline
201 & 21 & 24.6056338028169 & -3.6056338028169 \tabularnewline
202 & 15 & 10.6216216216216 & 4.37837837837838 \tabularnewline
203 & 38 & 41.5227272727273 & -3.52272727272727 \tabularnewline
204 & 22 & 41.5227272727273 & -19.5227272727273 \tabularnewline
205 & 28 & 39.6666666666667 & -11.6666666666667 \tabularnewline
206 & 10 & 10.6216216216216 & -0.621621621621621 \tabularnewline
207 & 31 & 24.6056338028169 & 6.3943661971831 \tabularnewline
208 & 32 & 59.53125 & -27.53125 \tabularnewline
209 & 32 & 41.5227272727273 & -9.52272727272727 \tabularnewline
210 & 43 & 41.5227272727273 & 1.47727272727273 \tabularnewline
211 & 27 & 24.6056338028169 & 2.3943661971831 \tabularnewline
212 & 37 & 41.5227272727273 & -4.52272727272727 \tabularnewline
213 & 20 & 10.6216216216216 & 9.37837837837838 \tabularnewline
214 & 32 & 24.6056338028169 & 7.3943661971831 \tabularnewline
215 & 0 & 24.6056338028169 & -24.6056338028169 \tabularnewline
216 & 5 & 24.6056338028169 & -19.6056338028169 \tabularnewline
217 & 26 & 24.6056338028169 & 1.3943661971831 \tabularnewline
218 & 10 & 24.6056338028169 & -14.6056338028169 \tabularnewline
219 & 27 & 24.6056338028169 & 2.3943661971831 \tabularnewline
220 & 11 & 10.6216216216216 & 0.378378378378379 \tabularnewline
221 & 29 & 24.6056338028169 & 4.3943661971831 \tabularnewline
222 & 25 & 41.5227272727273 & -16.5227272727273 \tabularnewline
223 & 55 & 39.6666666666667 & 15.3333333333333 \tabularnewline
224 & 23 & 24.6056338028169 & -1.6056338028169 \tabularnewline
225 & 5 & 10.6216216216216 & -5.62162162162162 \tabularnewline
226 & 43 & 41.5227272727273 & 1.47727272727273 \tabularnewline
227 & 23 & 24.6056338028169 & -1.6056338028169 \tabularnewline
228 & 34 & 24.6056338028169 & 9.3943661971831 \tabularnewline
229 & 36 & 24.6056338028169 & 11.3943661971831 \tabularnewline
230 & 35 & 39.6666666666667 & -4.66666666666666 \tabularnewline
231 & 0 & 10.6216216216216 & -10.6216216216216 \tabularnewline
232 & 37 & 24.6056338028169 & 12.3943661971831 \tabularnewline
233 & 28 & 39.6666666666667 & -11.6666666666667 \tabularnewline
234 & 16 & 24.6056338028169 & -8.6056338028169 \tabularnewline
235 & 26 & 24.6056338028169 & 1.3943661971831 \tabularnewline
236 & 38 & 24.6056338028169 & 13.3943661971831 \tabularnewline
237 & 23 & 59.53125 & -36.53125 \tabularnewline
238 & 22 & 24.6056338028169 & -2.6056338028169 \tabularnewline
239 & 30 & 24.6056338028169 & 5.3943661971831 \tabularnewline
240 & 16 & 10.6216216216216 & 5.37837837837838 \tabularnewline
241 & 18 & 24.6056338028169 & -6.6056338028169 \tabularnewline
242 & 28 & 41.5227272727273 & -13.5227272727273 \tabularnewline
243 & 32 & 24.6056338028169 & 7.3943661971831 \tabularnewline
244 & 21 & 10.6216216216216 & 10.3783783783784 \tabularnewline
245 & 23 & 24.6056338028169 & -1.6056338028169 \tabularnewline
246 & 29 & 24.6056338028169 & 4.3943661971831 \tabularnewline
247 & 50 & 41.5227272727273 & 8.47727272727273 \tabularnewline
248 & 12 & 24.6056338028169 & -12.6056338028169 \tabularnewline
249 & 21 & 24.6056338028169 & -3.6056338028169 \tabularnewline
250 & 18 & 10.6216216216216 & 7.37837837837838 \tabularnewline
251 & 27 & 59.53125 & -32.53125 \tabularnewline
252 & 41 & 41.5227272727273 & -0.522727272727273 \tabularnewline
253 & 13 & 10.6216216216216 & 2.37837837837838 \tabularnewline
254 & 12 & 24.6056338028169 & -12.6056338028169 \tabularnewline
255 & 21 & 24.6056338028169 & -3.6056338028169 \tabularnewline
256 & 8 & 10.6216216216216 & -2.62162162162162 \tabularnewline
257 & 26 & 10.6216216216216 & 15.3783783783784 \tabularnewline
258 & 27 & 24.6056338028169 & 2.3943661971831 \tabularnewline
259 & 13 & 10.6216216216216 & 2.37837837837838 \tabularnewline
260 & 16 & 10.6216216216216 & 5.37837837837838 \tabularnewline
261 & 2 & 10.6216216216216 & -8.62162162162162 \tabularnewline
262 & 42 & 24.6056338028169 & 17.3943661971831 \tabularnewline
263 & 5 & 10.6216216216216 & -5.62162162162162 \tabularnewline
264 & 37 & 24.6056338028169 & 12.3943661971831 \tabularnewline
265 & 17 & 10.6216216216216 & 6.37837837837838 \tabularnewline
266 & 38 & 24.6056338028169 & 13.3943661971831 \tabularnewline
267 & 37 & 24.6056338028169 & 12.3943661971831 \tabularnewline
268 & 29 & 24.6056338028169 & 4.3943661971831 \tabularnewline
269 & 32 & 41.5227272727273 & -9.52272727272727 \tabularnewline
270 & 35 & 24.6056338028169 & 10.3943661971831 \tabularnewline
271 & 17 & 41.5227272727273 & -24.5227272727273 \tabularnewline
272 & 20 & 24.6056338028169 & -4.6056338028169 \tabularnewline
273 & 7 & 24.6056338028169 & -17.6056338028169 \tabularnewline
274 & 46 & 41.5227272727273 & 4.47727272727273 \tabularnewline
275 & 24 & 24.6056338028169 & -0.6056338028169 \tabularnewline
276 & 40 & 24.6056338028169 & 15.3943661971831 \tabularnewline
277 & 3 & 10.6216216216216 & -7.62162162162162 \tabularnewline
278 & 10 & 10.6216216216216 & -0.621621621621621 \tabularnewline
279 & 37 & 24.6056338028169 & 12.3943661971831 \tabularnewline
280 & 17 & 24.6056338028169 & -7.6056338028169 \tabularnewline
281 & 28 & 24.6056338028169 & 3.3943661971831 \tabularnewline
282 & 19 & 24.6056338028169 & -5.6056338028169 \tabularnewline
283 & 29 & 24.6056338028169 & 4.3943661971831 \tabularnewline
284 & 8 & 10.6216216216216 & -2.62162162162162 \tabularnewline
285 & 10 & 10.6216216216216 & -0.621621621621621 \tabularnewline
286 & 15 & 24.6056338028169 & -9.6056338028169 \tabularnewline
287 & 15 & 24.6056338028169 & -9.6056338028169 \tabularnewline
288 & 28 & 24.6056338028169 & 3.3943661971831 \tabularnewline
289 & 17 & 24.6056338028169 & -7.6056338028169 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197295&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]79[/C][C]59.53125[/C][C]19.46875[/C][/ROW]
[ROW][C]2[/C][C]58[/C][C]41.5227272727273[/C][C]16.4772727272727[/C][/ROW]
[ROW][C]3[/C][C]60[/C][C]59.53125[/C][C]0.46875[/C][/ROW]
[ROW][C]4[/C][C]108[/C][C]84.0882352941177[/C][C]23.9117647058823[/C][/ROW]
[ROW][C]5[/C][C]49[/C][C]41.5227272727273[/C][C]7.47727272727273[/C][/ROW]
[ROW][C]6[/C][C]0[/C][C]10.6216216216216[/C][C]-10.6216216216216[/C][/ROW]
[ROW][C]7[/C][C]121[/C][C]88.7894736842105[/C][C]32.2105263157895[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]10.6216216216216[/C][C]-9.62162162162162[/C][/ROW]
[ROW][C]9[/C][C]20[/C][C]41.5227272727273[/C][C]-21.5227272727273[/C][/ROW]
[ROW][C]10[/C][C]43[/C][C]59.53125[/C][C]-16.53125[/C][/ROW]
[ROW][C]11[/C][C]69[/C][C]59.53125[/C][C]9.46875[/C][/ROW]
[ROW][C]12[/C][C]78[/C][C]110.545454545455[/C][C]-32.5454545454545[/C][/ROW]
[ROW][C]13[/C][C]86[/C][C]59.53125[/C][C]26.46875[/C][/ROW]
[ROW][C]14[/C][C]44[/C][C]69.5[/C][C]-25.5[/C][/ROW]
[ROW][C]15[/C][C]104[/C][C]110.545454545455[/C][C]-6.54545454545455[/C][/ROW]
[ROW][C]16[/C][C]63[/C][C]59.53125[/C][C]3.46875[/C][/ROW]
[ROW][C]17[/C][C]158[/C][C]110.545454545455[/C][C]47.4545454545455[/C][/ROW]
[ROW][C]18[/C][C]102[/C][C]88.7894736842105[/C][C]13.2105263157895[/C][/ROW]
[ROW][C]19[/C][C]77[/C][C]88.7894736842105[/C][C]-11.7894736842105[/C][/ROW]
[ROW][C]20[/C][C]82[/C][C]41.5227272727273[/C][C]40.4772727272727[/C][/ROW]
[ROW][C]21[/C][C]115[/C][C]84.0882352941177[/C][C]30.9117647058823[/C][/ROW]
[ROW][C]22[/C][C]101[/C][C]84.0882352941177[/C][C]16.9117647058823[/C][/ROW]
[ROW][C]23[/C][C]80[/C][C]88.7894736842105[/C][C]-8.78947368421052[/C][/ROW]
[ROW][C]24[/C][C]50[/C][C]59.53125[/C][C]-9.53125[/C][/ROW]
[ROW][C]25[/C][C]83[/C][C]69.5[/C][C]13.5[/C][/ROW]
[ROW][C]26[/C][C]123[/C][C]84.0882352941177[/C][C]38.9117647058823[/C][/ROW]
[ROW][C]27[/C][C]73[/C][C]84.0882352941177[/C][C]-11.0882352941177[/C][/ROW]
[ROW][C]28[/C][C]81[/C][C]88.7894736842105[/C][C]-7.78947368421052[/C][/ROW]
[ROW][C]29[/C][C]105[/C][C]110.545454545455[/C][C]-5.54545454545455[/C][/ROW]
[ROW][C]30[/C][C]47[/C][C]41.5227272727273[/C][C]5.47727272727273[/C][/ROW]
[ROW][C]31[/C][C]105[/C][C]110.545454545455[/C][C]-5.54545454545455[/C][/ROW]
[ROW][C]32[/C][C]94[/C][C]84.0882352941177[/C][C]9.91176470588235[/C][/ROW]
[ROW][C]33[/C][C]44[/C][C]59.53125[/C][C]-15.53125[/C][/ROW]
[ROW][C]34[/C][C]114[/C][C]110.545454545455[/C][C]3.45454545454545[/C][/ROW]
[ROW][C]35[/C][C]38[/C][C]24.6056338028169[/C][C]13.3943661971831[/C][/ROW]
[ROW][C]36[/C][C]107[/C][C]110.545454545455[/C][C]-3.54545454545455[/C][/ROW]
[ROW][C]37[/C][C]30[/C][C]41.5227272727273[/C][C]-11.5227272727273[/C][/ROW]
[ROW][C]38[/C][C]71[/C][C]84.0882352941177[/C][C]-13.0882352941177[/C][/ROW]
[ROW][C]39[/C][C]84[/C][C]110.545454545455[/C][C]-26.5454545454545[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]10.6216216216216[/C][C]-10.6216216216216[/C][/ROW]
[ROW][C]41[/C][C]59[/C][C]59.53125[/C][C]-0.53125[/C][/ROW]
[ROW][C]42[/C][C]33[/C][C]41.5227272727273[/C][C]-8.52272727272727[/C][/ROW]
[ROW][C]43[/C][C]42[/C][C]39.6666666666667[/C][C]2.33333333333334[/C][/ROW]
[ROW][C]44[/C][C]96[/C][C]110.545454545455[/C][C]-14.5454545454545[/C][/ROW]
[ROW][C]45[/C][C]106[/C][C]88.7894736842105[/C][C]17.2105263157895[/C][/ROW]
[ROW][C]46[/C][C]56[/C][C]59.53125[/C][C]-3.53125[/C][/ROW]
[ROW][C]47[/C][C]57[/C][C]84.0882352941177[/C][C]-27.0882352941177[/C][/ROW]
[ROW][C]48[/C][C]59[/C][C]59.53125[/C][C]-0.53125[/C][/ROW]
[ROW][C]49[/C][C]39[/C][C]41.5227272727273[/C][C]-2.52272727272727[/C][/ROW]
[ROW][C]50[/C][C]34[/C][C]69.5[/C][C]-35.5[/C][/ROW]
[ROW][C]51[/C][C]76[/C][C]110.545454545455[/C][C]-34.5454545454545[/C][/ROW]
[ROW][C]52[/C][C]20[/C][C]24.6056338028169[/C][C]-4.6056338028169[/C][/ROW]
[ROW][C]53[/C][C]91[/C][C]84.0882352941177[/C][C]6.91176470588235[/C][/ROW]
[ROW][C]54[/C][C]115[/C][C]110.545454545455[/C][C]4.45454545454545[/C][/ROW]
[ROW][C]55[/C][C]85[/C][C]84.0882352941177[/C][C]0.911764705882348[/C][/ROW]
[ROW][C]56[/C][C]76[/C][C]59.53125[/C][C]16.46875[/C][/ROW]
[ROW][C]57[/C][C]8[/C][C]10.6216216216216[/C][C]-2.62162162162162[/C][/ROW]
[ROW][C]58[/C][C]79[/C][C]110.545454545455[/C][C]-31.5454545454545[/C][/ROW]
[ROW][C]59[/C][C]21[/C][C]24.6056338028169[/C][C]-3.6056338028169[/C][/ROW]
[ROW][C]60[/C][C]30[/C][C]41.5227272727273[/C][C]-11.5227272727273[/C][/ROW]
[ROW][C]61[/C][C]76[/C][C]84.0882352941177[/C][C]-8.08823529411765[/C][/ROW]
[ROW][C]62[/C][C]101[/C][C]110.545454545455[/C][C]-9.54545454545455[/C][/ROW]
[ROW][C]63[/C][C]94[/C][C]88.7894736842105[/C][C]5.21052631578948[/C][/ROW]
[ROW][C]64[/C][C]27[/C][C]41.5227272727273[/C][C]-14.5227272727273[/C][/ROW]
[ROW][C]65[/C][C]92[/C][C]88.7894736842105[/C][C]3.21052631578948[/C][/ROW]
[ROW][C]66[/C][C]123[/C][C]110.545454545455[/C][C]12.4545454545455[/C][/ROW]
[ROW][C]67[/C][C]75[/C][C]84.0882352941177[/C][C]-9.08823529411765[/C][/ROW]
[ROW][C]68[/C][C]128[/C][C]110.545454545455[/C][C]17.4545454545455[/C][/ROW]
[ROW][C]69[/C][C]105[/C][C]88.7894736842105[/C][C]16.2105263157895[/C][/ROW]
[ROW][C]70[/C][C]55[/C][C]84.0882352941177[/C][C]-29.0882352941177[/C][/ROW]
[ROW][C]71[/C][C]56[/C][C]84.0882352941177[/C][C]-28.0882352941177[/C][/ROW]
[ROW][C]72[/C][C]41[/C][C]59.53125[/C][C]-18.53125[/C][/ROW]
[ROW][C]73[/C][C]72[/C][C]59.53125[/C][C]12.46875[/C][/ROW]
[ROW][C]74[/C][C]67[/C][C]59.53125[/C][C]7.46875[/C][/ROW]
[ROW][C]75[/C][C]75[/C][C]84.0882352941177[/C][C]-9.08823529411765[/C][/ROW]
[ROW][C]76[/C][C]114[/C][C]84.0882352941177[/C][C]29.9117647058823[/C][/ROW]
[ROW][C]77[/C][C]118[/C][C]41.5227272727273[/C][C]76.4772727272727[/C][/ROW]
[ROW][C]78[/C][C]77[/C][C]84.0882352941177[/C][C]-7.08823529411765[/C][/ROW]
[ROW][C]79[/C][C]22[/C][C]24.6056338028169[/C][C]-2.6056338028169[/C][/ROW]
[ROW][C]80[/C][C]66[/C][C]84.0882352941177[/C][C]-18.0882352941177[/C][/ROW]
[ROW][C]81[/C][C]69[/C][C]59.53125[/C][C]9.46875[/C][/ROW]
[ROW][C]82[/C][C]105[/C][C]59.53125[/C][C]45.46875[/C][/ROW]
[ROW][C]83[/C][C]116[/C][C]110.545454545455[/C][C]5.45454545454545[/C][/ROW]
[ROW][C]84[/C][C]88[/C][C]88.7894736842105[/C][C]-0.78947368421052[/C][/ROW]
[ROW][C]85[/C][C]73[/C][C]59.53125[/C][C]13.46875[/C][/ROW]
[ROW][C]86[/C][C]99[/C][C]69.5[/C][C]29.5[/C][/ROW]
[ROW][C]87[/C][C]62[/C][C]59.53125[/C][C]2.46875[/C][/ROW]
[ROW][C]88[/C][C]53[/C][C]41.5227272727273[/C][C]11.4772727272727[/C][/ROW]
[ROW][C]89[/C][C]118[/C][C]110.545454545455[/C][C]7.45454545454545[/C][/ROW]
[ROW][C]90[/C][C]30[/C][C]59.53125[/C][C]-29.53125[/C][/ROW]
[ROW][C]91[/C][C]100[/C][C]84.0882352941177[/C][C]15.9117647058823[/C][/ROW]
[ROW][C]92[/C][C]49[/C][C]24.6056338028169[/C][C]24.3943661971831[/C][/ROW]
[ROW][C]93[/C][C]24[/C][C]41.5227272727273[/C][C]-17.5227272727273[/C][/ROW]
[ROW][C]94[/C][C]67[/C][C]69.5[/C][C]-2.5[/C][/ROW]
[ROW][C]95[/C][C]46[/C][C]41.5227272727273[/C][C]4.47727272727273[/C][/ROW]
[ROW][C]96[/C][C]57[/C][C]88.7894736842105[/C][C]-31.7894736842105[/C][/ROW]
[ROW][C]97[/C][C]75[/C][C]110.545454545455[/C][C]-35.5454545454545[/C][/ROW]
[ROW][C]98[/C][C]135[/C][C]84.0882352941177[/C][C]50.9117647058823[/C][/ROW]
[ROW][C]99[/C][C]68[/C][C]84.0882352941177[/C][C]-16.0882352941177[/C][/ROW]
[ROW][C]100[/C][C]124[/C][C]84.0882352941177[/C][C]39.9117647058823[/C][/ROW]
[ROW][C]101[/C][C]33[/C][C]41.5227272727273[/C][C]-8.52272727272727[/C][/ROW]
[ROW][C]102[/C][C]98[/C][C]84.0882352941177[/C][C]13.9117647058823[/C][/ROW]
[ROW][C]103[/C][C]58[/C][C]88.7894736842105[/C][C]-30.7894736842105[/C][/ROW]
[ROW][C]104[/C][C]68[/C][C]59.53125[/C][C]8.46875[/C][/ROW]
[ROW][C]105[/C][C]81[/C][C]59.53125[/C][C]21.46875[/C][/ROW]
[ROW][C]106[/C][C]131[/C][C]88.7894736842105[/C][C]42.2105263157895[/C][/ROW]
[ROW][C]107[/C][C]110[/C][C]110.545454545455[/C][C]-0.545454545454547[/C][/ROW]
[ROW][C]108[/C][C]37[/C][C]24.6056338028169[/C][C]12.3943661971831[/C][/ROW]
[ROW][C]109[/C][C]130[/C][C]88.7894736842105[/C][C]41.2105263157895[/C][/ROW]
[ROW][C]110[/C][C]93[/C][C]110.545454545455[/C][C]-17.5454545454545[/C][/ROW]
[ROW][C]111[/C][C]118[/C][C]110.545454545455[/C][C]7.45454545454545[/C][/ROW]
[ROW][C]112[/C][C]39[/C][C]59.53125[/C][C]-20.53125[/C][/ROW]
[ROW][C]113[/C][C]13[/C][C]10.6216216216216[/C][C]2.37837837837838[/C][/ROW]
[ROW][C]114[/C][C]74[/C][C]84.0882352941177[/C][C]-10.0882352941177[/C][/ROW]
[ROW][C]115[/C][C]81[/C][C]59.53125[/C][C]21.46875[/C][/ROW]
[ROW][C]116[/C][C]109[/C][C]84.0882352941177[/C][C]24.9117647058823[/C][/ROW]
[ROW][C]117[/C][C]151[/C][C]110.545454545455[/C][C]40.4545454545455[/C][/ROW]
[ROW][C]118[/C][C]51[/C][C]84.0882352941177[/C][C]-33.0882352941177[/C][/ROW]
[ROW][C]119[/C][C]28[/C][C]24.6056338028169[/C][C]3.3943661971831[/C][/ROW]
[ROW][C]120[/C][C]40[/C][C]39.6666666666667[/C][C]0.333333333333336[/C][/ROW]
[ROW][C]121[/C][C]56[/C][C]41.5227272727273[/C][C]14.4772727272727[/C][/ROW]
[ROW][C]122[/C][C]27[/C][C]24.6056338028169[/C][C]2.3943661971831[/C][/ROW]
[ROW][C]123[/C][C]37[/C][C]41.5227272727273[/C][C]-4.52272727272727[/C][/ROW]
[ROW][C]124[/C][C]83[/C][C]69.5[/C][C]13.5[/C][/ROW]
[ROW][C]125[/C][C]54[/C][C]88.7894736842105[/C][C]-34.7894736842105[/C][/ROW]
[ROW][C]126[/C][C]27[/C][C]24.6056338028169[/C][C]2.3943661971831[/C][/ROW]
[ROW][C]127[/C][C]28[/C][C]41.5227272727273[/C][C]-13.5227272727273[/C][/ROW]
[ROW][C]128[/C][C]59[/C][C]41.5227272727273[/C][C]17.4772727272727[/C][/ROW]
[ROW][C]129[/C][C]133[/C][C]110.545454545455[/C][C]22.4545454545455[/C][/ROW]
[ROW][C]130[/C][C]12[/C][C]10.6216216216216[/C][C]1.37837837837838[/C][/ROW]
[ROW][C]131[/C][C]0[/C][C]24.6056338028169[/C][C]-24.6056338028169[/C][/ROW]
[ROW][C]132[/C][C]106[/C][C]84.0882352941177[/C][C]21.9117647058823[/C][/ROW]
[ROW][C]133[/C][C]23[/C][C]10.6216216216216[/C][C]12.3783783783784[/C][/ROW]
[ROW][C]134[/C][C]44[/C][C]41.5227272727273[/C][C]2.47727272727273[/C][/ROW]
[ROW][C]135[/C][C]71[/C][C]69.5[/C][C]1.5[/C][/ROW]
[ROW][C]136[/C][C]116[/C][C]88.7894736842105[/C][C]27.2105263157895[/C][/ROW]
[ROW][C]137[/C][C]4[/C][C]10.6216216216216[/C][C]-6.62162162162162[/C][/ROW]
[ROW][C]138[/C][C]62[/C][C]84.0882352941177[/C][C]-22.0882352941177[/C][/ROW]
[ROW][C]139[/C][C]12[/C][C]10.6216216216216[/C][C]1.37837837837838[/C][/ROW]
[ROW][C]140[/C][C]18[/C][C]10.6216216216216[/C][C]7.37837837837838[/C][/ROW]
[ROW][C]141[/C][C]14[/C][C]24.6056338028169[/C][C]-10.6056338028169[/C][/ROW]
[ROW][C]142[/C][C]60[/C][C]41.5227272727273[/C][C]18.4772727272727[/C][/ROW]
[ROW][C]143[/C][C]7[/C][C]24.6056338028169[/C][C]-17.6056338028169[/C][/ROW]
[ROW][C]144[/C][C]98[/C][C]110.545454545455[/C][C]-12.5454545454545[/C][/ROW]
[ROW][C]145[/C][C]64[/C][C]84.0882352941177[/C][C]-20.0882352941177[/C][/ROW]
[ROW][C]146[/C][C]29[/C][C]39.6666666666667[/C][C]-10.6666666666667[/C][/ROW]
[ROW][C]147[/C][C]32[/C][C]69.5[/C][C]-37.5[/C][/ROW]
[ROW][C]148[/C][C]25[/C][C]24.6056338028169[/C][C]0.3943661971831[/C][/ROW]
[ROW][C]149[/C][C]16[/C][C]10.6216216216216[/C][C]5.37837837837838[/C][/ROW]
[ROW][C]150[/C][C]48[/C][C]59.53125[/C][C]-11.53125[/C][/ROW]
[ROW][C]151[/C][C]100[/C][C]110.545454545455[/C][C]-10.5454545454545[/C][/ROW]
[ROW][C]152[/C][C]46[/C][C]59.53125[/C][C]-13.53125[/C][/ROW]
[ROW][C]153[/C][C]45[/C][C]41.5227272727273[/C][C]3.47727272727273[/C][/ROW]
[ROW][C]154[/C][C]129[/C][C]110.545454545455[/C][C]18.4545454545455[/C][/ROW]
[ROW][C]155[/C][C]130[/C][C]110.545454545455[/C][C]19.4545454545455[/C][/ROW]
[ROW][C]156[/C][C]136[/C][C]110.545454545455[/C][C]25.4545454545455[/C][/ROW]
[ROW][C]157[/C][C]59[/C][C]59.53125[/C][C]-0.53125[/C][/ROW]
[ROW][C]158[/C][C]25[/C][C]24.6056338028169[/C][C]0.3943661971831[/C][/ROW]
[ROW][C]159[/C][C]32[/C][C]24.6056338028169[/C][C]7.3943661971831[/C][/ROW]
[ROW][C]160[/C][C]63[/C][C]88.7894736842105[/C][C]-25.7894736842105[/C][/ROW]
[ROW][C]161[/C][C]95[/C][C]110.545454545455[/C][C]-15.5454545454545[/C][/ROW]
[ROW][C]162[/C][C]14[/C][C]24.6056338028169[/C][C]-10.6056338028169[/C][/ROW]
[ROW][C]163[/C][C]36[/C][C]41.5227272727273[/C][C]-5.52272727272727[/C][/ROW]
[ROW][C]164[/C][C]113[/C][C]110.545454545455[/C][C]2.45454545454545[/C][/ROW]
[ROW][C]165[/C][C]47[/C][C]69.5[/C][C]-22.5[/C][/ROW]
[ROW][C]166[/C][C]92[/C][C]59.53125[/C][C]32.46875[/C][/ROW]
[ROW][C]167[/C][C]70[/C][C]84.0882352941177[/C][C]-14.0882352941177[/C][/ROW]
[ROW][C]168[/C][C]19[/C][C]41.5227272727273[/C][C]-22.5227272727273[/C][/ROW]
[ROW][C]169[/C][C]50[/C][C]41.5227272727273[/C][C]8.47727272727273[/C][/ROW]
[ROW][C]170[/C][C]41[/C][C]88.7894736842105[/C][C]-47.7894736842105[/C][/ROW]
[ROW][C]171[/C][C]91[/C][C]88.7894736842105[/C][C]2.21052631578948[/C][/ROW]
[ROW][C]172[/C][C]111[/C][C]84.0882352941177[/C][C]26.9117647058823[/C][/ROW]
[ROW][C]173[/C][C]41[/C][C]84.0882352941177[/C][C]-43.0882352941177[/C][/ROW]
[ROW][C]174[/C][C]120[/C][C]110.545454545455[/C][C]9.45454545454545[/C][/ROW]
[ROW][C]175[/C][C]135[/C][C]69.5[/C][C]65.5[/C][/ROW]
[ROW][C]176[/C][C]27[/C][C]41.5227272727273[/C][C]-14.5227272727273[/C][/ROW]
[ROW][C]177[/C][C]87[/C][C]84.0882352941177[/C][C]2.91176470588235[/C][/ROW]
[ROW][C]178[/C][C]25[/C][C]24.6056338028169[/C][C]0.3943661971831[/C][/ROW]
[ROW][C]179[/C][C]131[/C][C]110.545454545455[/C][C]20.4545454545455[/C][/ROW]
[ROW][C]180[/C][C]45[/C][C]41.5227272727273[/C][C]3.47727272727273[/C][/ROW]
[ROW][C]181[/C][C]29[/C][C]24.6056338028169[/C][C]4.3943661971831[/C][/ROW]
[ROW][C]182[/C][C]58[/C][C]39.6666666666667[/C][C]18.3333333333333[/C][/ROW]
[ROW][C]183[/C][C]4[/C][C]10.6216216216216[/C][C]-6.62162162162162[/C][/ROW]
[ROW][C]184[/C][C]47[/C][C]84.0882352941177[/C][C]-37.0882352941177[/C][/ROW]
[ROW][C]185[/C][C]109[/C][C]110.545454545455[/C][C]-1.54545454545455[/C][/ROW]
[ROW][C]186[/C][C]7[/C][C]10.6216216216216[/C][C]-3.62162162162162[/C][/ROW]
[ROW][C]187[/C][C]12[/C][C]10.6216216216216[/C][C]1.37837837837838[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]10.6216216216216[/C][C]-10.6216216216216[/C][/ROW]
[ROW][C]189[/C][C]37[/C][C]41.5227272727273[/C][C]-4.52272727272727[/C][/ROW]
[ROW][C]190[/C][C]37[/C][C]24.6056338028169[/C][C]12.3943661971831[/C][/ROW]
[ROW][C]191[/C][C]46[/C][C]59.53125[/C][C]-13.53125[/C][/ROW]
[ROW][C]192[/C][C]15[/C][C]24.6056338028169[/C][C]-9.6056338028169[/C][/ROW]
[ROW][C]193[/C][C]42[/C][C]39.6666666666667[/C][C]2.33333333333334[/C][/ROW]
[ROW][C]194[/C][C]7[/C][C]24.6056338028169[/C][C]-17.6056338028169[/C][/ROW]
[ROW][C]195[/C][C]54[/C][C]41.5227272727273[/C][C]12.4772727272727[/C][/ROW]
[ROW][C]196[/C][C]54[/C][C]41.5227272727273[/C][C]12.4772727272727[/C][/ROW]
[ROW][C]197[/C][C]14[/C][C]24.6056338028169[/C][C]-10.6056338028169[/C][/ROW]
[ROW][C]198[/C][C]16[/C][C]10.6216216216216[/C][C]5.37837837837838[/C][/ROW]
[ROW][C]199[/C][C]33[/C][C]41.5227272727273[/C][C]-8.52272727272727[/C][/ROW]
[ROW][C]200[/C][C]32[/C][C]24.6056338028169[/C][C]7.3943661971831[/C][/ROW]
[ROW][C]201[/C][C]21[/C][C]24.6056338028169[/C][C]-3.6056338028169[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]10.6216216216216[/C][C]4.37837837837838[/C][/ROW]
[ROW][C]203[/C][C]38[/C][C]41.5227272727273[/C][C]-3.52272727272727[/C][/ROW]
[ROW][C]204[/C][C]22[/C][C]41.5227272727273[/C][C]-19.5227272727273[/C][/ROW]
[ROW][C]205[/C][C]28[/C][C]39.6666666666667[/C][C]-11.6666666666667[/C][/ROW]
[ROW][C]206[/C][C]10[/C][C]10.6216216216216[/C][C]-0.621621621621621[/C][/ROW]
[ROW][C]207[/C][C]31[/C][C]24.6056338028169[/C][C]6.3943661971831[/C][/ROW]
[ROW][C]208[/C][C]32[/C][C]59.53125[/C][C]-27.53125[/C][/ROW]
[ROW][C]209[/C][C]32[/C][C]41.5227272727273[/C][C]-9.52272727272727[/C][/ROW]
[ROW][C]210[/C][C]43[/C][C]41.5227272727273[/C][C]1.47727272727273[/C][/ROW]
[ROW][C]211[/C][C]27[/C][C]24.6056338028169[/C][C]2.3943661971831[/C][/ROW]
[ROW][C]212[/C][C]37[/C][C]41.5227272727273[/C][C]-4.52272727272727[/C][/ROW]
[ROW][C]213[/C][C]20[/C][C]10.6216216216216[/C][C]9.37837837837838[/C][/ROW]
[ROW][C]214[/C][C]32[/C][C]24.6056338028169[/C][C]7.3943661971831[/C][/ROW]
[ROW][C]215[/C][C]0[/C][C]24.6056338028169[/C][C]-24.6056338028169[/C][/ROW]
[ROW][C]216[/C][C]5[/C][C]24.6056338028169[/C][C]-19.6056338028169[/C][/ROW]
[ROW][C]217[/C][C]26[/C][C]24.6056338028169[/C][C]1.3943661971831[/C][/ROW]
[ROW][C]218[/C][C]10[/C][C]24.6056338028169[/C][C]-14.6056338028169[/C][/ROW]
[ROW][C]219[/C][C]27[/C][C]24.6056338028169[/C][C]2.3943661971831[/C][/ROW]
[ROW][C]220[/C][C]11[/C][C]10.6216216216216[/C][C]0.378378378378379[/C][/ROW]
[ROW][C]221[/C][C]29[/C][C]24.6056338028169[/C][C]4.3943661971831[/C][/ROW]
[ROW][C]222[/C][C]25[/C][C]41.5227272727273[/C][C]-16.5227272727273[/C][/ROW]
[ROW][C]223[/C][C]55[/C][C]39.6666666666667[/C][C]15.3333333333333[/C][/ROW]
[ROW][C]224[/C][C]23[/C][C]24.6056338028169[/C][C]-1.6056338028169[/C][/ROW]
[ROW][C]225[/C][C]5[/C][C]10.6216216216216[/C][C]-5.62162162162162[/C][/ROW]
[ROW][C]226[/C][C]43[/C][C]41.5227272727273[/C][C]1.47727272727273[/C][/ROW]
[ROW][C]227[/C][C]23[/C][C]24.6056338028169[/C][C]-1.6056338028169[/C][/ROW]
[ROW][C]228[/C][C]34[/C][C]24.6056338028169[/C][C]9.3943661971831[/C][/ROW]
[ROW][C]229[/C][C]36[/C][C]24.6056338028169[/C][C]11.3943661971831[/C][/ROW]
[ROW][C]230[/C][C]35[/C][C]39.6666666666667[/C][C]-4.66666666666666[/C][/ROW]
[ROW][C]231[/C][C]0[/C][C]10.6216216216216[/C][C]-10.6216216216216[/C][/ROW]
[ROW][C]232[/C][C]37[/C][C]24.6056338028169[/C][C]12.3943661971831[/C][/ROW]
[ROW][C]233[/C][C]28[/C][C]39.6666666666667[/C][C]-11.6666666666667[/C][/ROW]
[ROW][C]234[/C][C]16[/C][C]24.6056338028169[/C][C]-8.6056338028169[/C][/ROW]
[ROW][C]235[/C][C]26[/C][C]24.6056338028169[/C][C]1.3943661971831[/C][/ROW]
[ROW][C]236[/C][C]38[/C][C]24.6056338028169[/C][C]13.3943661971831[/C][/ROW]
[ROW][C]237[/C][C]23[/C][C]59.53125[/C][C]-36.53125[/C][/ROW]
[ROW][C]238[/C][C]22[/C][C]24.6056338028169[/C][C]-2.6056338028169[/C][/ROW]
[ROW][C]239[/C][C]30[/C][C]24.6056338028169[/C][C]5.3943661971831[/C][/ROW]
[ROW][C]240[/C][C]16[/C][C]10.6216216216216[/C][C]5.37837837837838[/C][/ROW]
[ROW][C]241[/C][C]18[/C][C]24.6056338028169[/C][C]-6.6056338028169[/C][/ROW]
[ROW][C]242[/C][C]28[/C][C]41.5227272727273[/C][C]-13.5227272727273[/C][/ROW]
[ROW][C]243[/C][C]32[/C][C]24.6056338028169[/C][C]7.3943661971831[/C][/ROW]
[ROW][C]244[/C][C]21[/C][C]10.6216216216216[/C][C]10.3783783783784[/C][/ROW]
[ROW][C]245[/C][C]23[/C][C]24.6056338028169[/C][C]-1.6056338028169[/C][/ROW]
[ROW][C]246[/C][C]29[/C][C]24.6056338028169[/C][C]4.3943661971831[/C][/ROW]
[ROW][C]247[/C][C]50[/C][C]41.5227272727273[/C][C]8.47727272727273[/C][/ROW]
[ROW][C]248[/C][C]12[/C][C]24.6056338028169[/C][C]-12.6056338028169[/C][/ROW]
[ROW][C]249[/C][C]21[/C][C]24.6056338028169[/C][C]-3.6056338028169[/C][/ROW]
[ROW][C]250[/C][C]18[/C][C]10.6216216216216[/C][C]7.37837837837838[/C][/ROW]
[ROW][C]251[/C][C]27[/C][C]59.53125[/C][C]-32.53125[/C][/ROW]
[ROW][C]252[/C][C]41[/C][C]41.5227272727273[/C][C]-0.522727272727273[/C][/ROW]
[ROW][C]253[/C][C]13[/C][C]10.6216216216216[/C][C]2.37837837837838[/C][/ROW]
[ROW][C]254[/C][C]12[/C][C]24.6056338028169[/C][C]-12.6056338028169[/C][/ROW]
[ROW][C]255[/C][C]21[/C][C]24.6056338028169[/C][C]-3.6056338028169[/C][/ROW]
[ROW][C]256[/C][C]8[/C][C]10.6216216216216[/C][C]-2.62162162162162[/C][/ROW]
[ROW][C]257[/C][C]26[/C][C]10.6216216216216[/C][C]15.3783783783784[/C][/ROW]
[ROW][C]258[/C][C]27[/C][C]24.6056338028169[/C][C]2.3943661971831[/C][/ROW]
[ROW][C]259[/C][C]13[/C][C]10.6216216216216[/C][C]2.37837837837838[/C][/ROW]
[ROW][C]260[/C][C]16[/C][C]10.6216216216216[/C][C]5.37837837837838[/C][/ROW]
[ROW][C]261[/C][C]2[/C][C]10.6216216216216[/C][C]-8.62162162162162[/C][/ROW]
[ROW][C]262[/C][C]42[/C][C]24.6056338028169[/C][C]17.3943661971831[/C][/ROW]
[ROW][C]263[/C][C]5[/C][C]10.6216216216216[/C][C]-5.62162162162162[/C][/ROW]
[ROW][C]264[/C][C]37[/C][C]24.6056338028169[/C][C]12.3943661971831[/C][/ROW]
[ROW][C]265[/C][C]17[/C][C]10.6216216216216[/C][C]6.37837837837838[/C][/ROW]
[ROW][C]266[/C][C]38[/C][C]24.6056338028169[/C][C]13.3943661971831[/C][/ROW]
[ROW][C]267[/C][C]37[/C][C]24.6056338028169[/C][C]12.3943661971831[/C][/ROW]
[ROW][C]268[/C][C]29[/C][C]24.6056338028169[/C][C]4.3943661971831[/C][/ROW]
[ROW][C]269[/C][C]32[/C][C]41.5227272727273[/C][C]-9.52272727272727[/C][/ROW]
[ROW][C]270[/C][C]35[/C][C]24.6056338028169[/C][C]10.3943661971831[/C][/ROW]
[ROW][C]271[/C][C]17[/C][C]41.5227272727273[/C][C]-24.5227272727273[/C][/ROW]
[ROW][C]272[/C][C]20[/C][C]24.6056338028169[/C][C]-4.6056338028169[/C][/ROW]
[ROW][C]273[/C][C]7[/C][C]24.6056338028169[/C][C]-17.6056338028169[/C][/ROW]
[ROW][C]274[/C][C]46[/C][C]41.5227272727273[/C][C]4.47727272727273[/C][/ROW]
[ROW][C]275[/C][C]24[/C][C]24.6056338028169[/C][C]-0.6056338028169[/C][/ROW]
[ROW][C]276[/C][C]40[/C][C]24.6056338028169[/C][C]15.3943661971831[/C][/ROW]
[ROW][C]277[/C][C]3[/C][C]10.6216216216216[/C][C]-7.62162162162162[/C][/ROW]
[ROW][C]278[/C][C]10[/C][C]10.6216216216216[/C][C]-0.621621621621621[/C][/ROW]
[ROW][C]279[/C][C]37[/C][C]24.6056338028169[/C][C]12.3943661971831[/C][/ROW]
[ROW][C]280[/C][C]17[/C][C]24.6056338028169[/C][C]-7.6056338028169[/C][/ROW]
[ROW][C]281[/C][C]28[/C][C]24.6056338028169[/C][C]3.3943661971831[/C][/ROW]
[ROW][C]282[/C][C]19[/C][C]24.6056338028169[/C][C]-5.6056338028169[/C][/ROW]
[ROW][C]283[/C][C]29[/C][C]24.6056338028169[/C][C]4.3943661971831[/C][/ROW]
[ROW][C]284[/C][C]8[/C][C]10.6216216216216[/C][C]-2.62162162162162[/C][/ROW]
[ROW][C]285[/C][C]10[/C][C]10.6216216216216[/C][C]-0.621621621621621[/C][/ROW]
[ROW][C]286[/C][C]15[/C][C]24.6056338028169[/C][C]-9.6056338028169[/C][/ROW]
[ROW][C]287[/C][C]15[/C][C]24.6056338028169[/C][C]-9.6056338028169[/C][/ROW]
[ROW][C]288[/C][C]28[/C][C]24.6056338028169[/C][C]3.3943661971831[/C][/ROW]
[ROW][C]289[/C][C]17[/C][C]24.6056338028169[/C][C]-7.6056338028169[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197295&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197295&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	79	59.53125	19.46875
2	58	41.5227272727273	16.4772727272727
3	60	59.53125	0.46875
4	108	84.0882352941177	23.9117647058823
5	49	41.5227272727273	7.47727272727273
6	0	10.6216216216216	-10.6216216216216
7	121	88.7894736842105	32.2105263157895
8	1	10.6216216216216	-9.62162162162162
9	20	41.5227272727273	-21.5227272727273
10	43	59.53125	-16.53125
11	69	59.53125	9.46875
12	78	110.545454545455	-32.5454545454545
13	86	59.53125	26.46875
14	44	69.5	-25.5
15	104	110.545454545455	-6.54545454545455
16	63	59.53125	3.46875
17	158	110.545454545455	47.4545454545455
18	102	88.7894736842105	13.2105263157895
19	77	88.7894736842105	-11.7894736842105
20	82	41.5227272727273	40.4772727272727
21	115	84.0882352941177	30.9117647058823
22	101	84.0882352941177	16.9117647058823
23	80	88.7894736842105	-8.78947368421052
24	50	59.53125	-9.53125
25	83	69.5	13.5
26	123	84.0882352941177	38.9117647058823
27	73	84.0882352941177	-11.0882352941177
28	81	88.7894736842105	-7.78947368421052
29	105	110.545454545455	-5.54545454545455
30	47	41.5227272727273	5.47727272727273
31	105	110.545454545455	-5.54545454545455
32	94	84.0882352941177	9.91176470588235
33	44	59.53125	-15.53125
34	114	110.545454545455	3.45454545454545
35	38	24.6056338028169	13.3943661971831
36	107	110.545454545455	-3.54545454545455
37	30	41.5227272727273	-11.5227272727273
38	71	84.0882352941177	-13.0882352941177
39	84	110.545454545455	-26.5454545454545
40	0	10.6216216216216	-10.6216216216216
41	59	59.53125	-0.53125
42	33	41.5227272727273	-8.52272727272727
43	42	39.6666666666667	2.33333333333334
44	96	110.545454545455	-14.5454545454545
45	106	88.7894736842105	17.2105263157895
46	56	59.53125	-3.53125
47	57	84.0882352941177	-27.0882352941177
48	59	59.53125	-0.53125
49	39	41.5227272727273	-2.52272727272727
50	34	69.5	-35.5
51	76	110.545454545455	-34.5454545454545
52	20	24.6056338028169	-4.6056338028169
53	91	84.0882352941177	6.91176470588235
54	115	110.545454545455	4.45454545454545
55	85	84.0882352941177	0.911764705882348
56	76	59.53125	16.46875
57	8	10.6216216216216	-2.62162162162162
58	79	110.545454545455	-31.5454545454545
59	21	24.6056338028169	-3.6056338028169
60	30	41.5227272727273	-11.5227272727273
61	76	84.0882352941177	-8.08823529411765
62	101	110.545454545455	-9.54545454545455
63	94	88.7894736842105	5.21052631578948
64	27	41.5227272727273	-14.5227272727273
65	92	88.7894736842105	3.21052631578948
66	123	110.545454545455	12.4545454545455
67	75	84.0882352941177	-9.08823529411765
68	128	110.545454545455	17.4545454545455
69	105	88.7894736842105	16.2105263157895
70	55	84.0882352941177	-29.0882352941177
71	56	84.0882352941177	-28.0882352941177
72	41	59.53125	-18.53125
73	72	59.53125	12.46875
74	67	59.53125	7.46875
75	75	84.0882352941177	-9.08823529411765
76	114	84.0882352941177	29.9117647058823
77	118	41.5227272727273	76.4772727272727
78	77	84.0882352941177	-7.08823529411765
79	22	24.6056338028169	-2.6056338028169
80	66	84.0882352941177	-18.0882352941177
81	69	59.53125	9.46875
82	105	59.53125	45.46875
83	116	110.545454545455	5.45454545454545
84	88	88.7894736842105	-0.78947368421052
85	73	59.53125	13.46875
86	99	69.5	29.5
87	62	59.53125	2.46875
88	53	41.5227272727273	11.4772727272727
89	118	110.545454545455	7.45454545454545
90	30	59.53125	-29.53125
91	100	84.0882352941177	15.9117647058823
92	49	24.6056338028169	24.3943661971831
93	24	41.5227272727273	-17.5227272727273
94	67	69.5	-2.5
95	46	41.5227272727273	4.47727272727273
96	57	88.7894736842105	-31.7894736842105
97	75	110.545454545455	-35.5454545454545
98	135	84.0882352941177	50.9117647058823
99	68	84.0882352941177	-16.0882352941177
100	124	84.0882352941177	39.9117647058823
101	33	41.5227272727273	-8.52272727272727
102	98	84.0882352941177	13.9117647058823
103	58	88.7894736842105	-30.7894736842105
104	68	59.53125	8.46875
105	81	59.53125	21.46875
106	131	88.7894736842105	42.2105263157895
107	110	110.545454545455	-0.545454545454547
108	37	24.6056338028169	12.3943661971831
109	130	88.7894736842105	41.2105263157895
110	93	110.545454545455	-17.5454545454545
111	118	110.545454545455	7.45454545454545
112	39	59.53125	-20.53125
113	13	10.6216216216216	2.37837837837838
114	74	84.0882352941177	-10.0882352941177
115	81	59.53125	21.46875
116	109	84.0882352941177	24.9117647058823
117	151	110.545454545455	40.4545454545455
118	51	84.0882352941177	-33.0882352941177
119	28	24.6056338028169	3.3943661971831
120	40	39.6666666666667	0.333333333333336
121	56	41.5227272727273	14.4772727272727
122	27	24.6056338028169	2.3943661971831
123	37	41.5227272727273	-4.52272727272727
124	83	69.5	13.5
125	54	88.7894736842105	-34.7894736842105
126	27	24.6056338028169	2.3943661971831
127	28	41.5227272727273	-13.5227272727273
128	59	41.5227272727273	17.4772727272727
129	133	110.545454545455	22.4545454545455
130	12	10.6216216216216	1.37837837837838
131	0	24.6056338028169	-24.6056338028169
132	106	84.0882352941177	21.9117647058823
133	23	10.6216216216216	12.3783783783784
134	44	41.5227272727273	2.47727272727273
135	71	69.5	1.5
136	116	88.7894736842105	27.2105263157895
137	4	10.6216216216216	-6.62162162162162
138	62	84.0882352941177	-22.0882352941177
139	12	10.6216216216216	1.37837837837838
140	18	10.6216216216216	7.37837837837838
141	14	24.6056338028169	-10.6056338028169
142	60	41.5227272727273	18.4772727272727
143	7	24.6056338028169	-17.6056338028169
144	98	110.545454545455	-12.5454545454545
145	64	84.0882352941177	-20.0882352941177
146	29	39.6666666666667	-10.6666666666667
147	32	69.5	-37.5
148	25	24.6056338028169	0.3943661971831
149	16	10.6216216216216	5.37837837837838
150	48	59.53125	-11.53125
151	100	110.545454545455	-10.5454545454545
152	46	59.53125	-13.53125
153	45	41.5227272727273	3.47727272727273
154	129	110.545454545455	18.4545454545455
155	130	110.545454545455	19.4545454545455
156	136	110.545454545455	25.4545454545455
157	59	59.53125	-0.53125
158	25	24.6056338028169	0.3943661971831
159	32	24.6056338028169	7.3943661971831
160	63	88.7894736842105	-25.7894736842105
161	95	110.545454545455	-15.5454545454545
162	14	24.6056338028169	-10.6056338028169
163	36	41.5227272727273	-5.52272727272727
164	113	110.545454545455	2.45454545454545
165	47	69.5	-22.5
166	92	59.53125	32.46875
167	70	84.0882352941177	-14.0882352941177
168	19	41.5227272727273	-22.5227272727273
169	50	41.5227272727273	8.47727272727273
170	41	88.7894736842105	-47.7894736842105
171	91	88.7894736842105	2.21052631578948
172	111	84.0882352941177	26.9117647058823
173	41	84.0882352941177	-43.0882352941177
174	120	110.545454545455	9.45454545454545
175	135	69.5	65.5
176	27	41.5227272727273	-14.5227272727273
177	87	84.0882352941177	2.91176470588235
178	25	24.6056338028169	0.3943661971831
179	131	110.545454545455	20.4545454545455
180	45	41.5227272727273	3.47727272727273
181	29	24.6056338028169	4.3943661971831
182	58	39.6666666666667	18.3333333333333
183	4	10.6216216216216	-6.62162162162162
184	47	84.0882352941177	-37.0882352941177
185	109	110.545454545455	-1.54545454545455
186	7	10.6216216216216	-3.62162162162162
187	12	10.6216216216216	1.37837837837838
188	0	10.6216216216216	-10.6216216216216
189	37	41.5227272727273	-4.52272727272727
190	37	24.6056338028169	12.3943661971831
191	46	59.53125	-13.53125
192	15	24.6056338028169	-9.6056338028169
193	42	39.6666666666667	2.33333333333334
194	7	24.6056338028169	-17.6056338028169
195	54	41.5227272727273	12.4772727272727
196	54	41.5227272727273	12.4772727272727
197	14	24.6056338028169	-10.6056338028169
198	16	10.6216216216216	5.37837837837838
199	33	41.5227272727273	-8.52272727272727
200	32	24.6056338028169	7.3943661971831
201	21	24.6056338028169	-3.6056338028169
202	15	10.6216216216216	4.37837837837838
203	38	41.5227272727273	-3.52272727272727
204	22	41.5227272727273	-19.5227272727273
205	28	39.6666666666667	-11.6666666666667
206	10	10.6216216216216	-0.621621621621621
207	31	24.6056338028169	6.3943661971831
208	32	59.53125	-27.53125
209	32	41.5227272727273	-9.52272727272727
210	43	41.5227272727273	1.47727272727273
211	27	24.6056338028169	2.3943661971831
212	37	41.5227272727273	-4.52272727272727
213	20	10.6216216216216	9.37837837837838
214	32	24.6056338028169	7.3943661971831
215	0	24.6056338028169	-24.6056338028169
216	5	24.6056338028169	-19.6056338028169
217	26	24.6056338028169	1.3943661971831
218	10	24.6056338028169	-14.6056338028169
219	27	24.6056338028169	2.3943661971831
220	11	10.6216216216216	0.378378378378379
221	29	24.6056338028169	4.3943661971831
222	25	41.5227272727273	-16.5227272727273
223	55	39.6666666666667	15.3333333333333
224	23	24.6056338028169	-1.6056338028169
225	5	10.6216216216216	-5.62162162162162
226	43	41.5227272727273	1.47727272727273
227	23	24.6056338028169	-1.6056338028169
228	34	24.6056338028169	9.3943661971831
229	36	24.6056338028169	11.3943661971831
230	35	39.6666666666667	-4.66666666666666
231	0	10.6216216216216	-10.6216216216216
232	37	24.6056338028169	12.3943661971831
233	28	39.6666666666667	-11.6666666666667
234	16	24.6056338028169	-8.6056338028169
235	26	24.6056338028169	1.3943661971831
236	38	24.6056338028169	13.3943661971831
237	23	59.53125	-36.53125
238	22	24.6056338028169	-2.6056338028169
239	30	24.6056338028169	5.3943661971831
240	16	10.6216216216216	5.37837837837838
241	18	24.6056338028169	-6.6056338028169
242	28	41.5227272727273	-13.5227272727273
243	32	24.6056338028169	7.3943661971831
244	21	10.6216216216216	10.3783783783784
245	23	24.6056338028169	-1.6056338028169
246	29	24.6056338028169	4.3943661971831
247	50	41.5227272727273	8.47727272727273
248	12	24.6056338028169	-12.6056338028169
249	21	24.6056338028169	-3.6056338028169
250	18	10.6216216216216	7.37837837837838
251	27	59.53125	-32.53125
252	41	41.5227272727273	-0.522727272727273
253	13	10.6216216216216	2.37837837837838
254	12	24.6056338028169	-12.6056338028169
255	21	24.6056338028169	-3.6056338028169
256	8	10.6216216216216	-2.62162162162162
257	26	10.6216216216216	15.3783783783784
258	27	24.6056338028169	2.3943661971831
259	13	10.6216216216216	2.37837837837838
260	16	10.6216216216216	5.37837837837838
261	2	10.6216216216216	-8.62162162162162
262	42	24.6056338028169	17.3943661971831
263	5	10.6216216216216	-5.62162162162162
264	37	24.6056338028169	12.3943661971831
265	17	10.6216216216216	6.37837837837838
266	38	24.6056338028169	13.3943661971831
267	37	24.6056338028169	12.3943661971831
268	29	24.6056338028169	4.3943661971831
269	32	41.5227272727273	-9.52272727272727
270	35	24.6056338028169	10.3943661971831
271	17	41.5227272727273	-24.5227272727273
272	20	24.6056338028169	-4.6056338028169
273	7	24.6056338028169	-17.6056338028169
274	46	41.5227272727273	4.47727272727273
275	24	24.6056338028169	-0.6056338028169
276	40	24.6056338028169	15.3943661971831
277	3	10.6216216216216	-7.62162162162162
278	10	10.6216216216216	-0.621621621621621
279	37	24.6056338028169	12.3943661971831
280	17	24.6056338028169	-7.6056338028169
281	28	24.6056338028169	3.3943661971831
282	19	24.6056338028169	-5.6056338028169
283	29	24.6056338028169	4.3943661971831
284	8	10.6216216216216	-2.62162162162162
285	10	10.6216216216216	-0.621621621621621
286	15	24.6056338028169	-9.6056338028169
287	15	24.6056338028169	-9.6056338028169
288	28	24.6056338028169	3.3943661971831
289	17	24.6056338028169	-7.6056338028169

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 = 5 ; par2 = none ; par3 = 3 ; par4 = no ;

Parameters (R input):

par1 = 5 ; 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