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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

Thu, 15 Dec 2011 16:50:05 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/15/t13239861356iw0i00kg4hwu72.htm/, Retrieved Wed, 08 May 2024 09:47:56 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155728, Retrieved Wed, 08 May 2024 09:47:56 +0000

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Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Recursive Partitioning (Regression Trees)] [Paper Regression ...] [2011-12-15 21:50:05] [2934cd91706ad80fc42b61dc996a3109] [Current]

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112.285	1.418	146.283	115	94	144	30	79
84.786	869	98.364	109	103	103	28	58
83.123	1.530	86.146	146	93	98	38	60
101.193	2.172	96.933	116	103	135	30	108
38.361	901	79.234	68	51	61	22	49
68.504	463	42.551	101	70	39	26	0
119.182	3.201	195.663	96	91	150	25	121
22.807	371	6.853	67	22	5	18	1
17.140	1.192	21.529	44	38	28	11	20
116.174	1.583	95.757	100	93	84	26	43
57.635	1.439	85.584	93	60	80	25	69
66.198	1.764	143.983	140	123	130	38	78
71.701	1.495	75.851	166	148	82	44	86
57.793	1.373	59.238	99	90	60	30	44
80.444	2.187	93.163	139	124	131	40	104
53.855	1.491	96.037	130	70	84	34	63
97.668	4.041	151.511	181	168	140	47	158
133.824	1.706	136.368	116	115	151	30	102
101.481	2.152	112.642	116	71	91	31	77
99.645	1.036	94.728	88	66	138	23	82
114.789	1.882	105.499	139	134	150	36	115
99.052	1.929	121.527	135	117	124	36	101
67.654	2.242	127.766	108	108	119	30	80
65.553	1.220	98.958	89	84	73	25	50
97.500	1.289	77.900	156	156	110	39	83
69.112	2.515	85.646	129	120	123	34	123
82.753	2.147	98.579	118	114	90	31	73
85.323	2.352	130.767	118	94	116	31	81
72.654	1.638	131.741	125	120	113	33	105
30.727	1.222	53.907	95	81	56	25	47
77.873	1.812	178.812	126	110	115	33	105
117.478	1.677	146.761	135	133	119	35	94
74.007	1.579	82.036	154	122	129	42	44
90.183	1.731	163.253	165	158	127	43	114
61.542	807	27.032	113	109	27	30	38
101.494	2.452	171.975	127	124	175	33	107
27.570	829	65.990	52	39	35	13	30
55.813	1.940	86.572	121	92	64	32	71
79.215	2.662	159.676	136	126	96	36	84
1.423	186	1.929	0	0	0	0	0
55.461	1.499	85.371	108	70	84	28	59
31.081	865	58.391	46	37	41	14	33
22.996	1.793	31.580	54	38	47	17	42
83.122	2.527	136.815	124	120	126	32	96
70.106	2.747	120.642	115	93	105	30	106
60.578	1.324	69.107	128	95	80	35	56
39.992	2.702	50.495	80	77	70	20	57
79.892	1.383	108.016	97	90	73	28	59
49.810	1.179	46.341	104	80	57	28	39
71.570	2.099	78.348	59	31	40	39	34
100.708	4.308	79.336	125	110	68	34	76
33.032	918	56.968	82	66	21	26	20
82.875	1.831	93.176	149	138	127	39	91
139.077	3.373	161.632	149	133	154	39	115
71.595	1.713	87.850	122	113	116	33	85
72.260	1.438	127.969	118	100	102	28	76
5.950	496	15.049	12	7	7	4	8
115.762	2.253	155.135	144	140	148	39	79
32.551	744	25.109	67	61	21	18	21
31.701	1.161	45.824	52	41	35	14	30
80.670	2.352	102.996	108	96	112	29	76
143.558	2.144	160.604	166	164	137	44	101
117.105	4.691	158.051	80	78	135	21	94
23.789	1.112	44.547	60	49	26	16	27
120.733	2.694	162.647	107	102	230	28	92
105.195	1.973	174.141	127	124	181	35	123
73.107	1.769	60.622	107	99	71	28	75
132.068	3.148	179.566	146	129	147	38	128
149.193	2.474	184.301	84	62	190	23	105
46.821	2.084	75.661	141	73	64	36	55
87.011	1.954	96.144	123	114	105	32	56
95.260	1.226	129.847	111	99	107	29	41
55.183	1.389	117.286	98	70	94	25	72
106.671	1.496	71.180	105	104	116	27	67
73.511	2.269	109.377	135	116	106	36	75
92.945	1.833	85.298	107	91	143	28	114
78.664	1.268	73.631	85	74	81	23	118
70.054	1.943	86.767	155	138	89	40	77
22.618	893	23.824	88	67	26	23	22
74.011	1.762	93.487	155	151	84	40	66
83.737	1.403	82.981	104	72	113	28	69
69.094	1.425	73.815	132	120	120	34	105
93.133	1.857	94.552	127	115	110	33	116
95.536	1.840	132.190	108	105	134	28	88
225.920	1.502	128.754	129	104	54	34	73
62.133	1.441	66.363	116	108	96	30	99
61.370	1.420	67.808	122	98	78	33	62
43.836	1.416	61.724	85	69	51	22	53
106.117	2.970	131.722	147	111	121	38	118
38.692	1.317	68.580	99	99	38	26	30
84.651	1.644	106.175	87	71	145	35	100
56.622	870	55.792	28	27	59	8	49
15.986	1.654	25.157	90	69	27	24	24
95.364	1.054	76.669	109	107	91	29	67
26.706	937	57.283	78	73	48	20	46
89.691	3.004	105.805	111	107	68	29	57
67.267	2.008	129.484	158	93	58	45	75
126.846	2.547	72.413	141	129	150	37	135
41.140	1.885	87.831	122	69	74	33	68
102.860	1.626	96.971	124	118	181	33	124
51.715	1.468	71.299	93	73	65	25	33
55.801	2.445	77.494	124	119	97	32	98
111.813	1.964	120.336	112	104	121	29	58
120.293	1.381	93.913	108	107	99	28	68
138.599	1.369	136.048	99	99	152	28	81
161.647	1.659	181.248	117	90	188	31	131
115.929	2.888	146.123	199	197	138	52	110
24.266	1.290	32.036	78	36	40	21	37
162.901	2.845	186.646	91	85	254	24	130
109.825	1.982	102.255	158	139	87	41	93
129.838	1.904	168.237	126	106	178	33	118
37.510	1.391	64.219	122	50	51	32	39
43.750	602	19.630	71	64	49	19	13
40.652	1.743	76.825	75	31	73	20	74
87.771	1.559	115.338	115	63	176	31	81
85.872	2.014	109.427	119	92	94	31	109
89.275	2.143	118.168	124	106	120	32	151
44.418	2.146	84.845	72	63	66	18	51
192.565	874	153.197	91	69	56	23	28
35.232	1.590	29.877	45	41	39	17	40
40.909	1.590	63.506	78	56	66	20	56
13.294	1.210	22.445	39	25	27	12	27
32.387	2.072	47.695	68	65	65	17	37
140.867	1.281	68.370	119	93	58	30	83
120.662	1.401	146.304	117	114	98	31	54
21.233	834	38.233	39	38	25	10	27
44.332	1.105	42.071	50	44	26	13	28
61.056	1.272	50.517	88	87	77	22	59
101.338	1.944	103.950	155	110	130	42	133
1.168	391	5.841	0	0	11	1	12
13.497	761	2.341	36	27	2	9	0
65.567	1.605	84.396	123	83	101	32	106
25.162	530	24.610	32	30	31	11	23
32.334	1.988	35.753	99	80	36	25	44
40.735	1.386	55.515	136	98	120	36	71
91.413	2.395	209.056	117	82	195	31	116
855	387	6.622	0	0	4	0	4
97.068	1.742	115.814	88	60	89	24	62
44.339	620	11.609	39	28	24	13	12
14.116	449	13.155	25	9	39	8	18
10.288	800	18.274	52	33	14	13	14
65.622	1.684	72.875	75	59	78	19	60
16.563	1.050	10.112	71	49	15	18	7
76.643	2.699	142.775	124	115	106	33	98
110.681	1.606	68.847	151	140	83	40	64
29.011	1.502	17.659	71	49	24	22	29
92.696	1.204	20.112	145	120	37	38	32
94.785	1.138	61.023	87	66	77	24	25
8.773	568	13.983	27	21	16	8	16
83.209	1.459	65.176	131	124	56	35	48
93.815	2.158	132.432	162	152	132	43	100
86.687	1.111	112.494	165	139	144	43	46
34.553	1.421	45.109	54	38	40	14	45
105.547	2.833	170.875	159	144	153	41	129
103.487	1.955	180.759	147	120	143	38	130
213.688	2.922	214.921	170	160	220	45	136
71.220	1.002	100.226	119	114	79	31	59
23.517	1.060	32.043	49	39	50	13	25
56.926	956	54.454	104	78	39	28	32
91.721	2.186	78.876	120	119	95	31	63
115.168	3.604	170.745	150	141	169	40	95
111.194	1.035	6.940	112	101	12	30	14
51.009	1.417	49.025	59	56	63	16	36
135.777	3.261	122.037	136	133	134	37	113
51.513	1.587	53.782	107	83	69	30	47
74.163	1.424	127.748	130	116	119	35	92
51.633	1.701	86.839	115	90	119	32	70
75.345	1.249	44.830	107	36	75	27	19
33.416	946	77.395	75	50	63	20	50
83.305	1.926	89.324	71	61	55	18	41
98.952	3.352	103.300	120	97	103	31	91
102.372	1.641	112.283	116	98	197	31	111
37.238	2.035	10.901	79	78	16	21	41
103.772	2.312	120.691	150	117	140	39	120
123.969	1.369	58.106	156	148	89	41	135
27.142	1.577	57.140	51	41	40	13	27
135.400	2.201	122.422	118	105	125	32	87
21.399	961	25.899	71	55	21	18	25
130.115	1.900	139.296	144	132	167	39	131
24.874	1.254	52.678	47	44	32	14	45
34.988	1.335	23.853	28	21	36	7	29
45.549	1.597	17.306	68	50	13	17	58
6.023	207	7.953	0	0	5	0	4
64.466	1.645	89.455	110	73	96	30	47
54.990	2.429	147.866	147	86	151	37	109
1.644	151	4.245	0	0	6	0	7
6.179	474	21.509	15	13	13	5	12
3.926	141	7.670	4	4	3	1	0
32.755	1.639	66.675	64	57	57	16	37
34.777	872	14.336	111	48	23	32	37
73.224	1.318	53.608	85	46	61	24	46
27.114	1.018	30.059	68	48	21	17	15
20.760	1.383	29.668	40	32	43	11	42
37.636	1.314	22.097	80	68	20	24	7
65.461	1.335	96.841	88	87	82	22	54
30.080	1.403	41.907	48	43	90	12	54
24.094	910	27.080	76	67	25	19	14
69.008	616	35.885	51	46	60	13	16
54.968	1.407	41.247	67	46	61	17	33
46.090	771	28.313	59	56	85	15	32
27.507	766	36.845	61	48	43	16	21
10.672	473	16.548	76	44	25	24	15
34.029	1.376	36.134	60	60	41	15	38
46.300	1.232	55.764	68	65	26	17	22
24.760	1.521	28.910	71	55	38	18	28
18.779	572	13.339	76	38	12	20	10
21.280	1.059	25.319	62	52	29	16	31
40.662	1.544	66.956	61	60	49	16	32
28.987	1.230	47.487	67	54	46	18	32
22.827	1.206	52.785	88	86	41	22	43
18.513	1.205	44.683	30	24	31	8	27
30.594	1.255	35.619	64	52	41	17	37
24.006	613	21.920	68	49	26	18	20
27.913	721	45.608	64	61	23	16	32
42.744	1.109	7.721	91	61	14	23	0
12.934	740	20.634	88	81	16	22	5
22.574	1.126	29.788	52	43	25	13	26
41.385	728	31.931	49	40	21	13	10
18.653	689	37.754	62	40	32	16	27
18.472	592	32.505	61	56	9	16	11
30.976	995	40.557	76	68	35	20	29
63.339	1.613	94.238	88	79	42	22	25
25.568	2.048	44.197	66	47	68	17	55
33.747	705	43.228	71	57	32	18	23
4.154	301	4.103	68	41	6	17	5
19.474	1.803	44.144	48	29	68	12	43
35.130	799	32.868	25	3	33	7	23
39.067	861	27.640	68	60	84	17	34
13.310	1.186	14.063	41	30	46	14	36
65.892	1.451	28.990	90	79	30	23	35
4.143	628	4.694	66	47	0	17	0
28.579	1.161	42.648	54	40	36	14	37
51.776	1.463	64.329	59	48	47	15	28
21.152	742	21.928	60	36	20	17	16
38.084	979	25.836	77	42	50	21	26
27.717	675	22.779	68	49	30	18	38
32.928	1.241	40.820	72	57	30	18	23
11.342	676	27.530	67	12	34	17	22
19.499	1.049	32.378	64	40	33	17	30
16.380	620	10.824	63	43	34	16	16
36.874	1.081	39.613	59	33	37	15	18
48.259	1.688	60.865	84	77	83	21	28
16.734	736	19.787	64	43	32	16	32
28.207	617	20.107	56	45	30	14	21
30.143	812	36.605	54	47	43	15	23
41.369	1.051	40.961	67	43	41	17	29
45.833	1.656	48.231	58	45	51	15	50
29.156	705	39.725	59	50	19	15	12
35.944	945	21.455	40	35	37	10	21
36.278	554	23.430	22	7	33	6	18
45.588	1.597	62.991	83	71	41	22	27
45.097	982	49.363	81	67	54	21	41
3.895	222	9.604	2	0	14	1	13
28.394	1.212	24.552	72	62	25	18	12
18.632	1.143	31.493	61	54	25	17	21
2.325	435	3.439	15	4	8	4	8
25.139	532	19.555	32	25	26	10	26
27.975	882	21.228	62	40	20	16	27
14.483	608	23.177	58	38	11	16	13
13.127	459	22.094	36	19	14	9	16
5.839	578	2.342	59	17	3	16	2
24.069	826	38.798	68	67	40	17	42
3.738	509	3.255	21	14	5	7	5
18.625	717	24.261	55	30	38	15	37
36.341	637	18.511	54	54	32	14	17
24.548	857	40.798	55	35	41	14	38
21.792	830	28.893	72	59	46	18	37
26.263	652	21.425	41	24	47	12	29
23.686	707	50.276	61	58	37	16	32
49.303	954	37.643	67	42	51	21	35
25.659	1.461	30.377	76	46	49	19	17
28.904	672	27.126	64	61	21	16	20
2.781	778	13	3	3	1	1	7
29.236	1.141	42.097	63	52	44	16	46
19.546	680	24.451	40	25	26	10	24
22.818	1.090	14.335	69	40	21	19	40
32.689	616	5.084	48	32	4	12	3
5.752	285	9.927	8	4	10	2	10
22.197	1.145	43.527	52	49	43	14	37
20.055	733	27.184	66	63	34	17	17
25.272	888	21.610	76	67	32	19	28
82.206	849	20.484	43	32	20	14	19
32.073	1.182	20.156	39	23	34	11	29
5.444	528	6.012	14	7	6	4	8
20.154	642	18.475	61	54	12	16	10
36.944	947	12.645	71	37	24	20	15
8.019	819	11.017	44	35	16	12	15
30.884	757	37.623	60	51	72	15	28
19.540	894	35.873	64	39	27	16	17

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	7 seconds
R Server	'Gwilym Jenkins' @ jenkins.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 & 7 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155728&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]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155728&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155728&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	7 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Goodness of Fit
Correlation	0.49
R-squared	0.2401
RMSE	53.7962

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.49 \tabularnewline
R-squared & 0.2401 \tabularnewline
RMSE & 53.7962 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155728&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.49[/C][/ROW]
[ROW][C]R-squared[/C][C]0.2401[/C][/ROW]
[ROW][C]RMSE[/C][C]53.7962[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155728&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155728&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	0.49
R-squared	0.2401
RMSE	53.7962

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	112.285	113.150510204082	-0.86551020408163
2	84.786	87.0566326530612	-2.27063265306123
3	83.123	87.0566326530612	-3.93363265306122
4	101.193	87.0566326530612	14.1363673469388
5	38.361	64.8680833333333	-26.5070833333333
6	68.504	36.851874251497	31.652125748503
7	119.182	113.150510204082	6.03148979591838
8	22.807	36.851874251497	-14.044874251497
9	17.14	36.851874251497	-19.711874251497
10	116.174	87.0566326530612	29.1173673469388
11	57.635	64.8680833333333	-7.23308333333333
12	66.198	113.150510204082	-46.9525102040816
13	71.701	64.8680833333333	6.83291666666666
14	57.793	36.851874251497	20.941125748503
15	80.444	87.0566326530612	-6.61263265306123
16	53.855	87.0566326530612	-33.2016326530612
17	97.668	113.150510204082	-15.4825102040816
18	133.824	113.150510204082	20.6734897959184
19	101.481	87.0566326530612	14.4243673469388
20	99.645	87.0566326530612	12.5883673469388
21	114.789	87.0566326530612	27.7323673469388
22	99.052	113.150510204082	-14.0985102040816
23	67.654	113.150510204082	-45.4965102040816
24	65.553	64.8680833333333	0.684916666666666
25	97.5	87.0566326530612	10.4433673469388
26	69.112	87.0566326530612	-17.9446326530612
27	82.753	87.0566326530612	-4.30363265306123
28	85.323	113.150510204082	-27.8275102040816
29	72.654	113.150510204082	-40.4965102040816
30	30.727	36.851874251497	-6.12487425149701
31	77.873	113.150510204082	-35.2775102040816
32	117.478	113.150510204082	4.32748979591837
33	74.007	87.0566326530612	-13.0496326530612
34	90.183	113.150510204082	-22.9675102040816
35	61.542	36.851874251497	24.690125748503
36	101.494	113.150510204082	-11.6565102040816
37	27.57	36.851874251497	-9.28187425149701
38	55.813	64.8680833333333	-9.05508333333333
39	79.215	113.150510204082	-33.9355102040816
40	1.423	36.851874251497	-35.428874251497
41	55.461	87.0566326530612	-31.5956326530612
42	31.081	36.851874251497	-5.77087425149701
43	22.996	36.851874251497	-13.855874251497
44	83.122	113.150510204082	-30.0285102040816
45	70.106	87.0566326530612	-16.9506326530612
46	60.578	64.8680833333333	-4.29008333333333
47	39.992	36.851874251497	3.14012574850299
48	79.892	64.8680833333333	15.0239166666667
49	49.81	36.851874251497	12.958125748503
50	71.57	64.8680833333333	6.70191666666666
51	100.708	64.8680833333333	35.8399166666667
52	33.032	36.851874251497	-3.81987425149701
53	82.875	87.0566326530612	-4.18163265306123
54	139.077	113.150510204082	25.9264897959184
55	71.595	87.0566326530612	-15.4616326530612
56	72.26	113.150510204082	-40.8905102040816
57	5.95	36.851874251497	-30.901874251497
58	115.762	113.150510204082	2.61148979591837
59	32.551	36.851874251497	-4.30087425149701
60	31.701	36.851874251497	-5.15087425149701
61	80.67	87.0566326530612	-6.38663265306123
62	143.558	113.150510204082	30.4074897959184
63	117.105	113.150510204082	3.95448979591838
64	23.789	36.851874251497	-13.062874251497
65	120.733	113.150510204082	7.58248979591838
66	105.195	113.150510204082	-7.95551020408163
67	73.107	36.851874251497	36.255125748503
68	132.068	113.150510204082	18.9174897959184
69	149.193	113.150510204082	36.0424897959184
70	46.821	64.8680833333333	-18.0470833333333
71	87.011	87.0566326530612	-0.045632653061233
72	95.26	113.150510204082	-17.8905102040816
73	55.183	87.0566326530612	-31.8736326530612
74	106.671	87.0566326530612	19.6143673469388
75	73.511	87.0566326530612	-13.5456326530612
76	92.945	87.0566326530612	5.88836734693876
77	78.664	64.8680833333333	13.7959166666667
78	70.054	87.0566326530612	-17.0026326530612
79	22.618	36.851874251497	-14.233874251497
80	74.011	87.0566326530612	-13.0456326530612
81	83.737	87.0566326530612	-3.31963265306123
82	69.094	87.0566326530612	-17.9626326530612
83	93.133	87.0566326530612	6.07636734693877
84	95.536	113.150510204082	-17.6145102040816
85	225.92	113.150510204082	112.769489795918
86	62.133	36.851874251497	25.281125748503
87	61.37	36.851874251497	24.518125748503
88	43.836	36.851874251497	6.98412574850299
89	106.117	113.150510204082	-7.03351020408162
90	38.692	64.8680833333333	-26.1760833333333
91	84.651	87.0566326530612	-2.40563265306123
92	56.622	36.851874251497	19.770125748503
93	15.986	36.851874251497	-20.865874251497
94	95.364	87.0566326530612	8.30736734693878
95	26.706	36.851874251497	-10.145874251497
96	89.691	64.8680833333333	24.8229166666667
97	67.267	113.150510204082	-45.8835102040816
98	126.846	87.0566326530612	39.7893673469388
99	41.14	64.8680833333333	-23.7280833333333
100	102.86	87.0566326530612	15.8033673469388
101	51.715	64.8680833333333	-13.1530833333333
102	55.801	87.0566326530612	-31.2556326530612
103	111.813	87.0566326530612	24.7563673469388
104	120.293	87.0566326530612	33.2363673469388
105	138.599	113.150510204082	25.4484897959184
106	161.647	113.150510204082	48.4964897959184
107	115.929	113.150510204082	2.77848979591838
108	24.266	36.851874251497	-12.585874251497
109	162.901	113.150510204082	49.7504897959184
110	109.825	87.0566326530612	22.7683673469388
111	129.838	113.150510204082	16.6874897959184
112	37.51	36.851874251497	0.658125748502989
113	43.75	36.851874251497	6.89812574850299
114	40.652	64.8680833333333	-24.2160833333333
115	87.771	87.0566326530612	0.714367346938772
116	85.872	87.0566326530612	-1.18463265306123
117	89.275	87.0566326530612	2.21836734693878
118	44.418	64.8680833333333	-20.4500833333333
119	192.565	113.150510204082	79.4144897959184
120	35.232	36.851874251497	-1.61987425149701
121	40.909	36.851874251497	4.05712574850299
122	13.294	36.851874251497	-23.557874251497
123	32.387	36.851874251497	-4.46487425149701
124	140.867	64.8680833333333	75.9989166666667
125	120.662	113.150510204082	7.51148979591838
126	21.233	36.851874251497	-15.618874251497
127	44.332	36.851874251497	7.48012574850299
128	61.056	36.851874251497	24.204125748503
129	101.338	87.0566326530612	14.2813673469388
130	1.168	36.851874251497	-35.683874251497
131	13.497	36.851874251497	-23.354874251497
132	65.567	87.0566326530612	-21.4896326530612
133	25.162	36.851874251497	-11.689874251497
134	32.334	36.851874251497	-4.51787425149701
135	40.735	36.851874251497	3.88312574850299
136	91.413	113.150510204082	-21.7375102040816
137	855	36.851874251497	818.148125748503
138	97.068	87.0566326530612	10.0113673469388
139	44.339	36.851874251497	7.48712574850299
140	14.116	36.851874251497	-22.735874251497
141	10.288	36.851874251497	-26.563874251497
142	65.622	64.8680833333333	0.753916666666669
143	16.563	36.851874251497	-20.288874251497
144	76.643	113.150510204082	-36.5075102040816
145	110.681	87.0566326530612	23.6243673469388
146	29.011	36.851874251497	-7.84087425149701
147	92.696	36.851874251497	55.844125748503
148	94.785	36.851874251497	57.933125748503
149	8.773	36.851874251497	-28.078874251497
150	83.209	36.851874251497	46.357125748503
151	93.815	113.150510204082	-19.3355102040816
152	86.687	87.0566326530612	-0.369632653061231
153	34.553	36.851874251497	-2.29887425149701
154	105.547	113.150510204082	-7.60351020408163
155	103.487	113.150510204082	-9.66351020408163
156	213.688	113.150510204082	100.537489795918
157	71.22	64.8680833333333	6.35191666666667
158	23.517	36.851874251497	-13.334874251497
159	56.926	36.851874251497	20.074125748503
160	91.721	87.0566326530612	4.66436734693877
161	115.168	113.150510204082	2.01748979591838
162	111.194	36.851874251497	74.342125748503
163	51.009	36.851874251497	14.157125748503
164	135.777	113.150510204082	22.6264897959184
165	51.513	36.851874251497	14.661125748503
166	74.163	113.150510204082	-38.9875102040816
167	51.633	87.0566326530612	-35.4236326530612
168	75.345	36.851874251497	38.493125748503
169	33.416	64.8680833333333	-31.4520833333333
170	83.305	64.8680833333333	18.4369166666667
171	98.952	87.0566326530612	11.8953673469388
172	102.372	87.0566326530612	15.3153673469388
173	37.238	36.851874251497	0.386125748502991
174	103.772	113.150510204082	-9.37851020408162
175	123.969	36.851874251497	87.117125748503
176	27.142	36.851874251497	-9.70987425149701
177	135.4	113.150510204082	22.2494897959184
178	21.399	36.851874251497	-15.452874251497
179	130.115	113.150510204082	16.9644897959184
180	24.874	36.851874251497	-11.977874251497
181	34.988	36.851874251497	-1.86387425149701
182	45.549	36.851874251497	8.69712574850299
183	6.023	36.851874251497	-30.828874251497
184	64.466	87.0566326530612	-22.5906326530612
185	54.99	113.150510204082	-58.1605102040816
186	1.644	36.851874251497	-35.207874251497
187	6.179	36.851874251497	-30.672874251497
188	3.926	36.851874251497	-32.925874251497
189	32.755	36.851874251497	-4.09687425149701
190	34.777	36.851874251497	-2.07487425149701
191	73.224	36.851874251497	36.372125748503
192	27.114	36.851874251497	-9.73787425149701
193	20.76	36.851874251497	-16.091874251497
194	37.636	36.851874251497	0.784125748502994
195	65.461	64.8680833333333	0.592916666666667
196	30.08	36.851874251497	-6.77187425149701
197	24.094	36.851874251497	-12.757874251497
198	69.008	36.851874251497	32.156125748503
199	54.968	36.851874251497	18.116125748503
200	46.09	36.851874251497	9.23812574850299
201	27.507	36.851874251497	-9.34487425149701
202	10.672	36.851874251497	-26.179874251497
203	34.029	36.851874251497	-2.82287425149701
204	46.3	36.851874251497	9.44812574850299
205	24.76	36.851874251497	-12.091874251497
206	18.779	36.851874251497	-18.072874251497
207	21.28	36.851874251497	-15.571874251497
208	40.662	36.851874251497	3.81012574850299
209	28.987	36.851874251497	-7.86487425149701
210	22.827	36.851874251497	-14.024874251497
211	18.513	36.851874251497	-18.338874251497
212	30.594	36.851874251497	-6.25787425149701
213	24.006	36.851874251497	-12.845874251497
214	27.913	36.851874251497	-8.93887425149701
215	42.744	36.851874251497	5.89212574850299
216	12.934	36.851874251497	-23.917874251497
217	22.574	36.851874251497	-14.277874251497
218	41.385	36.851874251497	4.53312574850299
219	18.653	36.851874251497	-18.198874251497
220	18.472	36.851874251497	-18.379874251497
221	30.976	36.851874251497	-5.87587425149701
222	63.339	64.8680833333333	-1.52908333333333
223	25.568	36.851874251497	-11.283874251497
224	33.747	36.851874251497	-3.10487425149701
225	4.154	36.851874251497	-32.697874251497
226	19.474	36.851874251497	-17.377874251497
227	35.13	36.851874251497	-1.72187425149701
228	39.067	36.851874251497	2.21512574850299
229	13.31	36.851874251497	-23.541874251497
230	65.892	36.851874251497	29.040125748503
231	4.143	36.851874251497	-32.708874251497
232	28.579	36.851874251497	-8.27287425149701
233	51.776	36.851874251497	14.924125748503
234	21.152	36.851874251497	-15.699874251497
235	38.084	36.851874251497	1.23212574850299
236	27.717	36.851874251497	-9.13487425149701
237	32.928	36.851874251497	-3.92387425149701
238	11.342	36.851874251497	-25.509874251497
239	19.499	36.851874251497	-17.352874251497
240	16.38	36.851874251497	-20.471874251497
241	36.874	36.851874251497	0.0221257485029938
242	48.259	36.851874251497	11.407125748503
243	16.734	36.851874251497	-20.117874251497
244	28.207	36.851874251497	-8.64487425149701
245	30.143	36.851874251497	-6.70887425149701
246	41.369	36.851874251497	4.51712574850299
247	45.833	36.851874251497	8.98112574850299
248	29.156	36.851874251497	-7.69587425149701
249	35.944	36.851874251497	-0.907874251497006
250	36.278	36.851874251497	-0.57387425149701
251	45.588	36.851874251497	8.73612574850299
252	45.097	36.851874251497	8.24512574850299
253	3.895	36.851874251497	-32.956874251497
254	28.394	36.851874251497	-8.45787425149701
255	18.632	36.851874251497	-18.219874251497
256	2.325	36.851874251497	-34.526874251497
257	25.139	36.851874251497	-11.712874251497
258	27.975	36.851874251497	-8.87687425149701
259	14.483	36.851874251497	-22.368874251497
260	13.127	36.851874251497	-23.724874251497
261	5.839	36.851874251497	-31.012874251497
262	24.069	36.851874251497	-12.782874251497
263	3.738	36.851874251497	-33.113874251497
264	18.625	36.851874251497	-18.226874251497
265	36.341	36.851874251497	-0.510874251497007
266	24.548	36.851874251497	-12.303874251497
267	21.792	36.851874251497	-15.059874251497
268	26.263	36.851874251497	-10.588874251497
269	23.686	36.851874251497	-13.165874251497
270	49.303	36.851874251497	12.451125748503
271	25.659	36.851874251497	-11.192874251497
272	28.904	36.851874251497	-7.94787425149701
273	2.781	36.851874251497	-34.070874251497
274	29.236	36.851874251497	-7.61587425149701
275	19.546	36.851874251497	-17.305874251497
276	22.818	36.851874251497	-14.033874251497
277	32.689	36.851874251497	-4.16287425149701
278	5.752	36.851874251497	-31.099874251497
279	22.197	36.851874251497	-14.654874251497
280	20.055	36.851874251497	-16.796874251497
281	25.272	36.851874251497	-11.579874251497
282	82.206	36.851874251497	45.354125748503
283	32.073	36.851874251497	-4.77887425149701
284	5.444	36.851874251497	-31.407874251497
285	20.154	36.851874251497	-16.697874251497
286	36.944	36.851874251497	0.092125748502994
287	8.019	36.851874251497	-28.832874251497
288	30.884	36.851874251497	-5.96787425149701
289	19.54	36.851874251497	-17.311874251497

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 112.285 & 113.150510204082 & -0.86551020408163 \tabularnewline
2 & 84.786 & 87.0566326530612 & -2.27063265306123 \tabularnewline
3 & 83.123 & 87.0566326530612 & -3.93363265306122 \tabularnewline
4 & 101.193 & 87.0566326530612 & 14.1363673469388 \tabularnewline
5 & 38.361 & 64.8680833333333 & -26.5070833333333 \tabularnewline
6 & 68.504 & 36.851874251497 & 31.652125748503 \tabularnewline
7 & 119.182 & 113.150510204082 & 6.03148979591838 \tabularnewline
8 & 22.807 & 36.851874251497 & -14.044874251497 \tabularnewline
9 & 17.14 & 36.851874251497 & -19.711874251497 \tabularnewline
10 & 116.174 & 87.0566326530612 & 29.1173673469388 \tabularnewline
11 & 57.635 & 64.8680833333333 & -7.23308333333333 \tabularnewline
12 & 66.198 & 113.150510204082 & -46.9525102040816 \tabularnewline
13 & 71.701 & 64.8680833333333 & 6.83291666666666 \tabularnewline
14 & 57.793 & 36.851874251497 & 20.941125748503 \tabularnewline
15 & 80.444 & 87.0566326530612 & -6.61263265306123 \tabularnewline
16 & 53.855 & 87.0566326530612 & -33.2016326530612 \tabularnewline
17 & 97.668 & 113.150510204082 & -15.4825102040816 \tabularnewline
18 & 133.824 & 113.150510204082 & 20.6734897959184 \tabularnewline
19 & 101.481 & 87.0566326530612 & 14.4243673469388 \tabularnewline
20 & 99.645 & 87.0566326530612 & 12.5883673469388 \tabularnewline
21 & 114.789 & 87.0566326530612 & 27.7323673469388 \tabularnewline
22 & 99.052 & 113.150510204082 & -14.0985102040816 \tabularnewline
23 & 67.654 & 113.150510204082 & -45.4965102040816 \tabularnewline
24 & 65.553 & 64.8680833333333 & 0.684916666666666 \tabularnewline
25 & 97.5 & 87.0566326530612 & 10.4433673469388 \tabularnewline
26 & 69.112 & 87.0566326530612 & -17.9446326530612 \tabularnewline
27 & 82.753 & 87.0566326530612 & -4.30363265306123 \tabularnewline
28 & 85.323 & 113.150510204082 & -27.8275102040816 \tabularnewline
29 & 72.654 & 113.150510204082 & -40.4965102040816 \tabularnewline
30 & 30.727 & 36.851874251497 & -6.12487425149701 \tabularnewline
31 & 77.873 & 113.150510204082 & -35.2775102040816 \tabularnewline
32 & 117.478 & 113.150510204082 & 4.32748979591837 \tabularnewline
33 & 74.007 & 87.0566326530612 & -13.0496326530612 \tabularnewline
34 & 90.183 & 113.150510204082 & -22.9675102040816 \tabularnewline
35 & 61.542 & 36.851874251497 & 24.690125748503 \tabularnewline
36 & 101.494 & 113.150510204082 & -11.6565102040816 \tabularnewline
37 & 27.57 & 36.851874251497 & -9.28187425149701 \tabularnewline
38 & 55.813 & 64.8680833333333 & -9.05508333333333 \tabularnewline
39 & 79.215 & 113.150510204082 & -33.9355102040816 \tabularnewline
40 & 1.423 & 36.851874251497 & -35.428874251497 \tabularnewline
41 & 55.461 & 87.0566326530612 & -31.5956326530612 \tabularnewline
42 & 31.081 & 36.851874251497 & -5.77087425149701 \tabularnewline
43 & 22.996 & 36.851874251497 & -13.855874251497 \tabularnewline
44 & 83.122 & 113.150510204082 & -30.0285102040816 \tabularnewline
45 & 70.106 & 87.0566326530612 & -16.9506326530612 \tabularnewline
46 & 60.578 & 64.8680833333333 & -4.29008333333333 \tabularnewline
47 & 39.992 & 36.851874251497 & 3.14012574850299 \tabularnewline
48 & 79.892 & 64.8680833333333 & 15.0239166666667 \tabularnewline
49 & 49.81 & 36.851874251497 & 12.958125748503 \tabularnewline
50 & 71.57 & 64.8680833333333 & 6.70191666666666 \tabularnewline
51 & 100.708 & 64.8680833333333 & 35.8399166666667 \tabularnewline
52 & 33.032 & 36.851874251497 & -3.81987425149701 \tabularnewline
53 & 82.875 & 87.0566326530612 & -4.18163265306123 \tabularnewline
54 & 139.077 & 113.150510204082 & 25.9264897959184 \tabularnewline
55 & 71.595 & 87.0566326530612 & -15.4616326530612 \tabularnewline
56 & 72.26 & 113.150510204082 & -40.8905102040816 \tabularnewline
57 & 5.95 & 36.851874251497 & -30.901874251497 \tabularnewline
58 & 115.762 & 113.150510204082 & 2.61148979591837 \tabularnewline
59 & 32.551 & 36.851874251497 & -4.30087425149701 \tabularnewline
60 & 31.701 & 36.851874251497 & -5.15087425149701 \tabularnewline
61 & 80.67 & 87.0566326530612 & -6.38663265306123 \tabularnewline
62 & 143.558 & 113.150510204082 & 30.4074897959184 \tabularnewline
63 & 117.105 & 113.150510204082 & 3.95448979591838 \tabularnewline
64 & 23.789 & 36.851874251497 & -13.062874251497 \tabularnewline
65 & 120.733 & 113.150510204082 & 7.58248979591838 \tabularnewline
66 & 105.195 & 113.150510204082 & -7.95551020408163 \tabularnewline
67 & 73.107 & 36.851874251497 & 36.255125748503 \tabularnewline
68 & 132.068 & 113.150510204082 & 18.9174897959184 \tabularnewline
69 & 149.193 & 113.150510204082 & 36.0424897959184 \tabularnewline
70 & 46.821 & 64.8680833333333 & -18.0470833333333 \tabularnewline
71 & 87.011 & 87.0566326530612 & -0.045632653061233 \tabularnewline
72 & 95.26 & 113.150510204082 & -17.8905102040816 \tabularnewline
73 & 55.183 & 87.0566326530612 & -31.8736326530612 \tabularnewline
74 & 106.671 & 87.0566326530612 & 19.6143673469388 \tabularnewline
75 & 73.511 & 87.0566326530612 & -13.5456326530612 \tabularnewline
76 & 92.945 & 87.0566326530612 & 5.88836734693876 \tabularnewline
77 & 78.664 & 64.8680833333333 & 13.7959166666667 \tabularnewline
78 & 70.054 & 87.0566326530612 & -17.0026326530612 \tabularnewline
79 & 22.618 & 36.851874251497 & -14.233874251497 \tabularnewline
80 & 74.011 & 87.0566326530612 & -13.0456326530612 \tabularnewline
81 & 83.737 & 87.0566326530612 & -3.31963265306123 \tabularnewline
82 & 69.094 & 87.0566326530612 & -17.9626326530612 \tabularnewline
83 & 93.133 & 87.0566326530612 & 6.07636734693877 \tabularnewline
84 & 95.536 & 113.150510204082 & -17.6145102040816 \tabularnewline
85 & 225.92 & 113.150510204082 & 112.769489795918 \tabularnewline
86 & 62.133 & 36.851874251497 & 25.281125748503 \tabularnewline
87 & 61.37 & 36.851874251497 & 24.518125748503 \tabularnewline
88 & 43.836 & 36.851874251497 & 6.98412574850299 \tabularnewline
89 & 106.117 & 113.150510204082 & -7.03351020408162 \tabularnewline
90 & 38.692 & 64.8680833333333 & -26.1760833333333 \tabularnewline
91 & 84.651 & 87.0566326530612 & -2.40563265306123 \tabularnewline
92 & 56.622 & 36.851874251497 & 19.770125748503 \tabularnewline
93 & 15.986 & 36.851874251497 & -20.865874251497 \tabularnewline
94 & 95.364 & 87.0566326530612 & 8.30736734693878 \tabularnewline
95 & 26.706 & 36.851874251497 & -10.145874251497 \tabularnewline
96 & 89.691 & 64.8680833333333 & 24.8229166666667 \tabularnewline
97 & 67.267 & 113.150510204082 & -45.8835102040816 \tabularnewline
98 & 126.846 & 87.0566326530612 & 39.7893673469388 \tabularnewline
99 & 41.14 & 64.8680833333333 & -23.7280833333333 \tabularnewline
100 & 102.86 & 87.0566326530612 & 15.8033673469388 \tabularnewline
101 & 51.715 & 64.8680833333333 & -13.1530833333333 \tabularnewline
102 & 55.801 & 87.0566326530612 & -31.2556326530612 \tabularnewline
103 & 111.813 & 87.0566326530612 & 24.7563673469388 \tabularnewline
104 & 120.293 & 87.0566326530612 & 33.2363673469388 \tabularnewline
105 & 138.599 & 113.150510204082 & 25.4484897959184 \tabularnewline
106 & 161.647 & 113.150510204082 & 48.4964897959184 \tabularnewline
107 & 115.929 & 113.150510204082 & 2.77848979591838 \tabularnewline
108 & 24.266 & 36.851874251497 & -12.585874251497 \tabularnewline
109 & 162.901 & 113.150510204082 & 49.7504897959184 \tabularnewline
110 & 109.825 & 87.0566326530612 & 22.7683673469388 \tabularnewline
111 & 129.838 & 113.150510204082 & 16.6874897959184 \tabularnewline
112 & 37.51 & 36.851874251497 & 0.658125748502989 \tabularnewline
113 & 43.75 & 36.851874251497 & 6.89812574850299 \tabularnewline
114 & 40.652 & 64.8680833333333 & -24.2160833333333 \tabularnewline
115 & 87.771 & 87.0566326530612 & 0.714367346938772 \tabularnewline
116 & 85.872 & 87.0566326530612 & -1.18463265306123 \tabularnewline
117 & 89.275 & 87.0566326530612 & 2.21836734693878 \tabularnewline
118 & 44.418 & 64.8680833333333 & -20.4500833333333 \tabularnewline
119 & 192.565 & 113.150510204082 & 79.4144897959184 \tabularnewline
120 & 35.232 & 36.851874251497 & -1.61987425149701 \tabularnewline
121 & 40.909 & 36.851874251497 & 4.05712574850299 \tabularnewline
122 & 13.294 & 36.851874251497 & -23.557874251497 \tabularnewline
123 & 32.387 & 36.851874251497 & -4.46487425149701 \tabularnewline
124 & 140.867 & 64.8680833333333 & 75.9989166666667 \tabularnewline
125 & 120.662 & 113.150510204082 & 7.51148979591838 \tabularnewline
126 & 21.233 & 36.851874251497 & -15.618874251497 \tabularnewline
127 & 44.332 & 36.851874251497 & 7.48012574850299 \tabularnewline
128 & 61.056 & 36.851874251497 & 24.204125748503 \tabularnewline
129 & 101.338 & 87.0566326530612 & 14.2813673469388 \tabularnewline
130 & 1.168 & 36.851874251497 & -35.683874251497 \tabularnewline
131 & 13.497 & 36.851874251497 & -23.354874251497 \tabularnewline
132 & 65.567 & 87.0566326530612 & -21.4896326530612 \tabularnewline
133 & 25.162 & 36.851874251497 & -11.689874251497 \tabularnewline
134 & 32.334 & 36.851874251497 & -4.51787425149701 \tabularnewline
135 & 40.735 & 36.851874251497 & 3.88312574850299 \tabularnewline
136 & 91.413 & 113.150510204082 & -21.7375102040816 \tabularnewline
137 & 855 & 36.851874251497 & 818.148125748503 \tabularnewline
138 & 97.068 & 87.0566326530612 & 10.0113673469388 \tabularnewline
139 & 44.339 & 36.851874251497 & 7.48712574850299 \tabularnewline
140 & 14.116 & 36.851874251497 & -22.735874251497 \tabularnewline
141 & 10.288 & 36.851874251497 & -26.563874251497 \tabularnewline
142 & 65.622 & 64.8680833333333 & 0.753916666666669 \tabularnewline
143 & 16.563 & 36.851874251497 & -20.288874251497 \tabularnewline
144 & 76.643 & 113.150510204082 & -36.5075102040816 \tabularnewline
145 & 110.681 & 87.0566326530612 & 23.6243673469388 \tabularnewline
146 & 29.011 & 36.851874251497 & -7.84087425149701 \tabularnewline
147 & 92.696 & 36.851874251497 & 55.844125748503 \tabularnewline
148 & 94.785 & 36.851874251497 & 57.933125748503 \tabularnewline
149 & 8.773 & 36.851874251497 & -28.078874251497 \tabularnewline
150 & 83.209 & 36.851874251497 & 46.357125748503 \tabularnewline
151 & 93.815 & 113.150510204082 & -19.3355102040816 \tabularnewline
152 & 86.687 & 87.0566326530612 & -0.369632653061231 \tabularnewline
153 & 34.553 & 36.851874251497 & -2.29887425149701 \tabularnewline
154 & 105.547 & 113.150510204082 & -7.60351020408163 \tabularnewline
155 & 103.487 & 113.150510204082 & -9.66351020408163 \tabularnewline
156 & 213.688 & 113.150510204082 & 100.537489795918 \tabularnewline
157 & 71.22 & 64.8680833333333 & 6.35191666666667 \tabularnewline
158 & 23.517 & 36.851874251497 & -13.334874251497 \tabularnewline
159 & 56.926 & 36.851874251497 & 20.074125748503 \tabularnewline
160 & 91.721 & 87.0566326530612 & 4.66436734693877 \tabularnewline
161 & 115.168 & 113.150510204082 & 2.01748979591838 \tabularnewline
162 & 111.194 & 36.851874251497 & 74.342125748503 \tabularnewline
163 & 51.009 & 36.851874251497 & 14.157125748503 \tabularnewline
164 & 135.777 & 113.150510204082 & 22.6264897959184 \tabularnewline
165 & 51.513 & 36.851874251497 & 14.661125748503 \tabularnewline
166 & 74.163 & 113.150510204082 & -38.9875102040816 \tabularnewline
167 & 51.633 & 87.0566326530612 & -35.4236326530612 \tabularnewline
168 & 75.345 & 36.851874251497 & 38.493125748503 \tabularnewline
169 & 33.416 & 64.8680833333333 & -31.4520833333333 \tabularnewline
170 & 83.305 & 64.8680833333333 & 18.4369166666667 \tabularnewline
171 & 98.952 & 87.0566326530612 & 11.8953673469388 \tabularnewline
172 & 102.372 & 87.0566326530612 & 15.3153673469388 \tabularnewline
173 & 37.238 & 36.851874251497 & 0.386125748502991 \tabularnewline
174 & 103.772 & 113.150510204082 & -9.37851020408162 \tabularnewline
175 & 123.969 & 36.851874251497 & 87.117125748503 \tabularnewline
176 & 27.142 & 36.851874251497 & -9.70987425149701 \tabularnewline
177 & 135.4 & 113.150510204082 & 22.2494897959184 \tabularnewline
178 & 21.399 & 36.851874251497 & -15.452874251497 \tabularnewline
179 & 130.115 & 113.150510204082 & 16.9644897959184 \tabularnewline
180 & 24.874 & 36.851874251497 & -11.977874251497 \tabularnewline
181 & 34.988 & 36.851874251497 & -1.86387425149701 \tabularnewline
182 & 45.549 & 36.851874251497 & 8.69712574850299 \tabularnewline
183 & 6.023 & 36.851874251497 & -30.828874251497 \tabularnewline
184 & 64.466 & 87.0566326530612 & -22.5906326530612 \tabularnewline
185 & 54.99 & 113.150510204082 & -58.1605102040816 \tabularnewline
186 & 1.644 & 36.851874251497 & -35.207874251497 \tabularnewline
187 & 6.179 & 36.851874251497 & -30.672874251497 \tabularnewline
188 & 3.926 & 36.851874251497 & -32.925874251497 \tabularnewline
189 & 32.755 & 36.851874251497 & -4.09687425149701 \tabularnewline
190 & 34.777 & 36.851874251497 & -2.07487425149701 \tabularnewline
191 & 73.224 & 36.851874251497 & 36.372125748503 \tabularnewline
192 & 27.114 & 36.851874251497 & -9.73787425149701 \tabularnewline
193 & 20.76 & 36.851874251497 & -16.091874251497 \tabularnewline
194 & 37.636 & 36.851874251497 & 0.784125748502994 \tabularnewline
195 & 65.461 & 64.8680833333333 & 0.592916666666667 \tabularnewline
196 & 30.08 & 36.851874251497 & -6.77187425149701 \tabularnewline
197 & 24.094 & 36.851874251497 & -12.757874251497 \tabularnewline
198 & 69.008 & 36.851874251497 & 32.156125748503 \tabularnewline
199 & 54.968 & 36.851874251497 & 18.116125748503 \tabularnewline
200 & 46.09 & 36.851874251497 & 9.23812574850299 \tabularnewline
201 & 27.507 & 36.851874251497 & -9.34487425149701 \tabularnewline
202 & 10.672 & 36.851874251497 & -26.179874251497 \tabularnewline
203 & 34.029 & 36.851874251497 & -2.82287425149701 \tabularnewline
204 & 46.3 & 36.851874251497 & 9.44812574850299 \tabularnewline
205 & 24.76 & 36.851874251497 & -12.091874251497 \tabularnewline
206 & 18.779 & 36.851874251497 & -18.072874251497 \tabularnewline
207 & 21.28 & 36.851874251497 & -15.571874251497 \tabularnewline
208 & 40.662 & 36.851874251497 & 3.81012574850299 \tabularnewline
209 & 28.987 & 36.851874251497 & -7.86487425149701 \tabularnewline
210 & 22.827 & 36.851874251497 & -14.024874251497 \tabularnewline
211 & 18.513 & 36.851874251497 & -18.338874251497 \tabularnewline
212 & 30.594 & 36.851874251497 & -6.25787425149701 \tabularnewline
213 & 24.006 & 36.851874251497 & -12.845874251497 \tabularnewline
214 & 27.913 & 36.851874251497 & -8.93887425149701 \tabularnewline
215 & 42.744 & 36.851874251497 & 5.89212574850299 \tabularnewline
216 & 12.934 & 36.851874251497 & -23.917874251497 \tabularnewline
217 & 22.574 & 36.851874251497 & -14.277874251497 \tabularnewline
218 & 41.385 & 36.851874251497 & 4.53312574850299 \tabularnewline
219 & 18.653 & 36.851874251497 & -18.198874251497 \tabularnewline
220 & 18.472 & 36.851874251497 & -18.379874251497 \tabularnewline
221 & 30.976 & 36.851874251497 & -5.87587425149701 \tabularnewline
222 & 63.339 & 64.8680833333333 & -1.52908333333333 \tabularnewline
223 & 25.568 & 36.851874251497 & -11.283874251497 \tabularnewline
224 & 33.747 & 36.851874251497 & -3.10487425149701 \tabularnewline
225 & 4.154 & 36.851874251497 & -32.697874251497 \tabularnewline
226 & 19.474 & 36.851874251497 & -17.377874251497 \tabularnewline
227 & 35.13 & 36.851874251497 & -1.72187425149701 \tabularnewline
228 & 39.067 & 36.851874251497 & 2.21512574850299 \tabularnewline
229 & 13.31 & 36.851874251497 & -23.541874251497 \tabularnewline
230 & 65.892 & 36.851874251497 & 29.040125748503 \tabularnewline
231 & 4.143 & 36.851874251497 & -32.708874251497 \tabularnewline
232 & 28.579 & 36.851874251497 & -8.27287425149701 \tabularnewline
233 & 51.776 & 36.851874251497 & 14.924125748503 \tabularnewline
234 & 21.152 & 36.851874251497 & -15.699874251497 \tabularnewline
235 & 38.084 & 36.851874251497 & 1.23212574850299 \tabularnewline
236 & 27.717 & 36.851874251497 & -9.13487425149701 \tabularnewline
237 & 32.928 & 36.851874251497 & -3.92387425149701 \tabularnewline
238 & 11.342 & 36.851874251497 & -25.509874251497 \tabularnewline
239 & 19.499 & 36.851874251497 & -17.352874251497 \tabularnewline
240 & 16.38 & 36.851874251497 & -20.471874251497 \tabularnewline
241 & 36.874 & 36.851874251497 & 0.0221257485029938 \tabularnewline
242 & 48.259 & 36.851874251497 & 11.407125748503 \tabularnewline
243 & 16.734 & 36.851874251497 & -20.117874251497 \tabularnewline
244 & 28.207 & 36.851874251497 & -8.64487425149701 \tabularnewline
245 & 30.143 & 36.851874251497 & -6.70887425149701 \tabularnewline
246 & 41.369 & 36.851874251497 & 4.51712574850299 \tabularnewline
247 & 45.833 & 36.851874251497 & 8.98112574850299 \tabularnewline
248 & 29.156 & 36.851874251497 & -7.69587425149701 \tabularnewline
249 & 35.944 & 36.851874251497 & -0.907874251497006 \tabularnewline
250 & 36.278 & 36.851874251497 & -0.57387425149701 \tabularnewline
251 & 45.588 & 36.851874251497 & 8.73612574850299 \tabularnewline
252 & 45.097 & 36.851874251497 & 8.24512574850299 \tabularnewline
253 & 3.895 & 36.851874251497 & -32.956874251497 \tabularnewline
254 & 28.394 & 36.851874251497 & -8.45787425149701 \tabularnewline
255 & 18.632 & 36.851874251497 & -18.219874251497 \tabularnewline
256 & 2.325 & 36.851874251497 & -34.526874251497 \tabularnewline
257 & 25.139 & 36.851874251497 & -11.712874251497 \tabularnewline
258 & 27.975 & 36.851874251497 & -8.87687425149701 \tabularnewline
259 & 14.483 & 36.851874251497 & -22.368874251497 \tabularnewline
260 & 13.127 & 36.851874251497 & -23.724874251497 \tabularnewline
261 & 5.839 & 36.851874251497 & -31.012874251497 \tabularnewline
262 & 24.069 & 36.851874251497 & -12.782874251497 \tabularnewline
263 & 3.738 & 36.851874251497 & -33.113874251497 \tabularnewline
264 & 18.625 & 36.851874251497 & -18.226874251497 \tabularnewline
265 & 36.341 & 36.851874251497 & -0.510874251497007 \tabularnewline
266 & 24.548 & 36.851874251497 & -12.303874251497 \tabularnewline
267 & 21.792 & 36.851874251497 & -15.059874251497 \tabularnewline
268 & 26.263 & 36.851874251497 & -10.588874251497 \tabularnewline
269 & 23.686 & 36.851874251497 & -13.165874251497 \tabularnewline
270 & 49.303 & 36.851874251497 & 12.451125748503 \tabularnewline
271 & 25.659 & 36.851874251497 & -11.192874251497 \tabularnewline
272 & 28.904 & 36.851874251497 & -7.94787425149701 \tabularnewline
273 & 2.781 & 36.851874251497 & -34.070874251497 \tabularnewline
274 & 29.236 & 36.851874251497 & -7.61587425149701 \tabularnewline
275 & 19.546 & 36.851874251497 & -17.305874251497 \tabularnewline
276 & 22.818 & 36.851874251497 & -14.033874251497 \tabularnewline
277 & 32.689 & 36.851874251497 & -4.16287425149701 \tabularnewline
278 & 5.752 & 36.851874251497 & -31.099874251497 \tabularnewline
279 & 22.197 & 36.851874251497 & -14.654874251497 \tabularnewline
280 & 20.055 & 36.851874251497 & -16.796874251497 \tabularnewline
281 & 25.272 & 36.851874251497 & -11.579874251497 \tabularnewline
282 & 82.206 & 36.851874251497 & 45.354125748503 \tabularnewline
283 & 32.073 & 36.851874251497 & -4.77887425149701 \tabularnewline
284 & 5.444 & 36.851874251497 & -31.407874251497 \tabularnewline
285 & 20.154 & 36.851874251497 & -16.697874251497 \tabularnewline
286 & 36.944 & 36.851874251497 & 0.092125748502994 \tabularnewline
287 & 8.019 & 36.851874251497 & -28.832874251497 \tabularnewline
288 & 30.884 & 36.851874251497 & -5.96787425149701 \tabularnewline
289 & 19.54 & 36.851874251497 & -17.311874251497 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155728&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]112.285[/C][C]113.150510204082[/C][C]-0.86551020408163[/C][/ROW]
[ROW][C]2[/C][C]84.786[/C][C]87.0566326530612[/C][C]-2.27063265306123[/C][/ROW]
[ROW][C]3[/C][C]83.123[/C][C]87.0566326530612[/C][C]-3.93363265306122[/C][/ROW]
[ROW][C]4[/C][C]101.193[/C][C]87.0566326530612[/C][C]14.1363673469388[/C][/ROW]
[ROW][C]5[/C][C]38.361[/C][C]64.8680833333333[/C][C]-26.5070833333333[/C][/ROW]
[ROW][C]6[/C][C]68.504[/C][C]36.851874251497[/C][C]31.652125748503[/C][/ROW]
[ROW][C]7[/C][C]119.182[/C][C]113.150510204082[/C][C]6.03148979591838[/C][/ROW]
[ROW][C]8[/C][C]22.807[/C][C]36.851874251497[/C][C]-14.044874251497[/C][/ROW]
[ROW][C]9[/C][C]17.14[/C][C]36.851874251497[/C][C]-19.711874251497[/C][/ROW]
[ROW][C]10[/C][C]116.174[/C][C]87.0566326530612[/C][C]29.1173673469388[/C][/ROW]
[ROW][C]11[/C][C]57.635[/C][C]64.8680833333333[/C][C]-7.23308333333333[/C][/ROW]
[ROW][C]12[/C][C]66.198[/C][C]113.150510204082[/C][C]-46.9525102040816[/C][/ROW]
[ROW][C]13[/C][C]71.701[/C][C]64.8680833333333[/C][C]6.83291666666666[/C][/ROW]
[ROW][C]14[/C][C]57.793[/C][C]36.851874251497[/C][C]20.941125748503[/C][/ROW]
[ROW][C]15[/C][C]80.444[/C][C]87.0566326530612[/C][C]-6.61263265306123[/C][/ROW]
[ROW][C]16[/C][C]53.855[/C][C]87.0566326530612[/C][C]-33.2016326530612[/C][/ROW]
[ROW][C]17[/C][C]97.668[/C][C]113.150510204082[/C][C]-15.4825102040816[/C][/ROW]
[ROW][C]18[/C][C]133.824[/C][C]113.150510204082[/C][C]20.6734897959184[/C][/ROW]
[ROW][C]19[/C][C]101.481[/C][C]87.0566326530612[/C][C]14.4243673469388[/C][/ROW]
[ROW][C]20[/C][C]99.645[/C][C]87.0566326530612[/C][C]12.5883673469388[/C][/ROW]
[ROW][C]21[/C][C]114.789[/C][C]87.0566326530612[/C][C]27.7323673469388[/C][/ROW]
[ROW][C]22[/C][C]99.052[/C][C]113.150510204082[/C][C]-14.0985102040816[/C][/ROW]
[ROW][C]23[/C][C]67.654[/C][C]113.150510204082[/C][C]-45.4965102040816[/C][/ROW]
[ROW][C]24[/C][C]65.553[/C][C]64.8680833333333[/C][C]0.684916666666666[/C][/ROW]
[ROW][C]25[/C][C]97.5[/C][C]87.0566326530612[/C][C]10.4433673469388[/C][/ROW]
[ROW][C]26[/C][C]69.112[/C][C]87.0566326530612[/C][C]-17.9446326530612[/C][/ROW]
[ROW][C]27[/C][C]82.753[/C][C]87.0566326530612[/C][C]-4.30363265306123[/C][/ROW]
[ROW][C]28[/C][C]85.323[/C][C]113.150510204082[/C][C]-27.8275102040816[/C][/ROW]
[ROW][C]29[/C][C]72.654[/C][C]113.150510204082[/C][C]-40.4965102040816[/C][/ROW]
[ROW][C]30[/C][C]30.727[/C][C]36.851874251497[/C][C]-6.12487425149701[/C][/ROW]
[ROW][C]31[/C][C]77.873[/C][C]113.150510204082[/C][C]-35.2775102040816[/C][/ROW]
[ROW][C]32[/C][C]117.478[/C][C]113.150510204082[/C][C]4.32748979591837[/C][/ROW]
[ROW][C]33[/C][C]74.007[/C][C]87.0566326530612[/C][C]-13.0496326530612[/C][/ROW]
[ROW][C]34[/C][C]90.183[/C][C]113.150510204082[/C][C]-22.9675102040816[/C][/ROW]
[ROW][C]35[/C][C]61.542[/C][C]36.851874251497[/C][C]24.690125748503[/C][/ROW]
[ROW][C]36[/C][C]101.494[/C][C]113.150510204082[/C][C]-11.6565102040816[/C][/ROW]
[ROW][C]37[/C][C]27.57[/C][C]36.851874251497[/C][C]-9.28187425149701[/C][/ROW]
[ROW][C]38[/C][C]55.813[/C][C]64.8680833333333[/C][C]-9.05508333333333[/C][/ROW]
[ROW][C]39[/C][C]79.215[/C][C]113.150510204082[/C][C]-33.9355102040816[/C][/ROW]
[ROW][C]40[/C][C]1.423[/C][C]36.851874251497[/C][C]-35.428874251497[/C][/ROW]
[ROW][C]41[/C][C]55.461[/C][C]87.0566326530612[/C][C]-31.5956326530612[/C][/ROW]
[ROW][C]42[/C][C]31.081[/C][C]36.851874251497[/C][C]-5.77087425149701[/C][/ROW]
[ROW][C]43[/C][C]22.996[/C][C]36.851874251497[/C][C]-13.855874251497[/C][/ROW]
[ROW][C]44[/C][C]83.122[/C][C]113.150510204082[/C][C]-30.0285102040816[/C][/ROW]
[ROW][C]45[/C][C]70.106[/C][C]87.0566326530612[/C][C]-16.9506326530612[/C][/ROW]
[ROW][C]46[/C][C]60.578[/C][C]64.8680833333333[/C][C]-4.29008333333333[/C][/ROW]
[ROW][C]47[/C][C]39.992[/C][C]36.851874251497[/C][C]3.14012574850299[/C][/ROW]
[ROW][C]48[/C][C]79.892[/C][C]64.8680833333333[/C][C]15.0239166666667[/C][/ROW]
[ROW][C]49[/C][C]49.81[/C][C]36.851874251497[/C][C]12.958125748503[/C][/ROW]
[ROW][C]50[/C][C]71.57[/C][C]64.8680833333333[/C][C]6.70191666666666[/C][/ROW]
[ROW][C]51[/C][C]100.708[/C][C]64.8680833333333[/C][C]35.8399166666667[/C][/ROW]
[ROW][C]52[/C][C]33.032[/C][C]36.851874251497[/C][C]-3.81987425149701[/C][/ROW]
[ROW][C]53[/C][C]82.875[/C][C]87.0566326530612[/C][C]-4.18163265306123[/C][/ROW]
[ROW][C]54[/C][C]139.077[/C][C]113.150510204082[/C][C]25.9264897959184[/C][/ROW]
[ROW][C]55[/C][C]71.595[/C][C]87.0566326530612[/C][C]-15.4616326530612[/C][/ROW]
[ROW][C]56[/C][C]72.26[/C][C]113.150510204082[/C][C]-40.8905102040816[/C][/ROW]
[ROW][C]57[/C][C]5.95[/C][C]36.851874251497[/C][C]-30.901874251497[/C][/ROW]
[ROW][C]58[/C][C]115.762[/C][C]113.150510204082[/C][C]2.61148979591837[/C][/ROW]
[ROW][C]59[/C][C]32.551[/C][C]36.851874251497[/C][C]-4.30087425149701[/C][/ROW]
[ROW][C]60[/C][C]31.701[/C][C]36.851874251497[/C][C]-5.15087425149701[/C][/ROW]
[ROW][C]61[/C][C]80.67[/C][C]87.0566326530612[/C][C]-6.38663265306123[/C][/ROW]
[ROW][C]62[/C][C]143.558[/C][C]113.150510204082[/C][C]30.4074897959184[/C][/ROW]
[ROW][C]63[/C][C]117.105[/C][C]113.150510204082[/C][C]3.95448979591838[/C][/ROW]
[ROW][C]64[/C][C]23.789[/C][C]36.851874251497[/C][C]-13.062874251497[/C][/ROW]
[ROW][C]65[/C][C]120.733[/C][C]113.150510204082[/C][C]7.58248979591838[/C][/ROW]
[ROW][C]66[/C][C]105.195[/C][C]113.150510204082[/C][C]-7.95551020408163[/C][/ROW]
[ROW][C]67[/C][C]73.107[/C][C]36.851874251497[/C][C]36.255125748503[/C][/ROW]
[ROW][C]68[/C][C]132.068[/C][C]113.150510204082[/C][C]18.9174897959184[/C][/ROW]
[ROW][C]69[/C][C]149.193[/C][C]113.150510204082[/C][C]36.0424897959184[/C][/ROW]
[ROW][C]70[/C][C]46.821[/C][C]64.8680833333333[/C][C]-18.0470833333333[/C][/ROW]
[ROW][C]71[/C][C]87.011[/C][C]87.0566326530612[/C][C]-0.045632653061233[/C][/ROW]
[ROW][C]72[/C][C]95.26[/C][C]113.150510204082[/C][C]-17.8905102040816[/C][/ROW]
[ROW][C]73[/C][C]55.183[/C][C]87.0566326530612[/C][C]-31.8736326530612[/C][/ROW]
[ROW][C]74[/C][C]106.671[/C][C]87.0566326530612[/C][C]19.6143673469388[/C][/ROW]
[ROW][C]75[/C][C]73.511[/C][C]87.0566326530612[/C][C]-13.5456326530612[/C][/ROW]
[ROW][C]76[/C][C]92.945[/C][C]87.0566326530612[/C][C]5.88836734693876[/C][/ROW]
[ROW][C]77[/C][C]78.664[/C][C]64.8680833333333[/C][C]13.7959166666667[/C][/ROW]
[ROW][C]78[/C][C]70.054[/C][C]87.0566326530612[/C][C]-17.0026326530612[/C][/ROW]
[ROW][C]79[/C][C]22.618[/C][C]36.851874251497[/C][C]-14.233874251497[/C][/ROW]
[ROW][C]80[/C][C]74.011[/C][C]87.0566326530612[/C][C]-13.0456326530612[/C][/ROW]
[ROW][C]81[/C][C]83.737[/C][C]87.0566326530612[/C][C]-3.31963265306123[/C][/ROW]
[ROW][C]82[/C][C]69.094[/C][C]87.0566326530612[/C][C]-17.9626326530612[/C][/ROW]
[ROW][C]83[/C][C]93.133[/C][C]87.0566326530612[/C][C]6.07636734693877[/C][/ROW]
[ROW][C]84[/C][C]95.536[/C][C]113.150510204082[/C][C]-17.6145102040816[/C][/ROW]
[ROW][C]85[/C][C]225.92[/C][C]113.150510204082[/C][C]112.769489795918[/C][/ROW]
[ROW][C]86[/C][C]62.133[/C][C]36.851874251497[/C][C]25.281125748503[/C][/ROW]
[ROW][C]87[/C][C]61.37[/C][C]36.851874251497[/C][C]24.518125748503[/C][/ROW]
[ROW][C]88[/C][C]43.836[/C][C]36.851874251497[/C][C]6.98412574850299[/C][/ROW]
[ROW][C]89[/C][C]106.117[/C][C]113.150510204082[/C][C]-7.03351020408162[/C][/ROW]
[ROW][C]90[/C][C]38.692[/C][C]64.8680833333333[/C][C]-26.1760833333333[/C][/ROW]
[ROW][C]91[/C][C]84.651[/C][C]87.0566326530612[/C][C]-2.40563265306123[/C][/ROW]
[ROW][C]92[/C][C]56.622[/C][C]36.851874251497[/C][C]19.770125748503[/C][/ROW]
[ROW][C]93[/C][C]15.986[/C][C]36.851874251497[/C][C]-20.865874251497[/C][/ROW]
[ROW][C]94[/C][C]95.364[/C][C]87.0566326530612[/C][C]8.30736734693878[/C][/ROW]
[ROW][C]95[/C][C]26.706[/C][C]36.851874251497[/C][C]-10.145874251497[/C][/ROW]
[ROW][C]96[/C][C]89.691[/C][C]64.8680833333333[/C][C]24.8229166666667[/C][/ROW]
[ROW][C]97[/C][C]67.267[/C][C]113.150510204082[/C][C]-45.8835102040816[/C][/ROW]
[ROW][C]98[/C][C]126.846[/C][C]87.0566326530612[/C][C]39.7893673469388[/C][/ROW]
[ROW][C]99[/C][C]41.14[/C][C]64.8680833333333[/C][C]-23.7280833333333[/C][/ROW]
[ROW][C]100[/C][C]102.86[/C][C]87.0566326530612[/C][C]15.8033673469388[/C][/ROW]
[ROW][C]101[/C][C]51.715[/C][C]64.8680833333333[/C][C]-13.1530833333333[/C][/ROW]
[ROW][C]102[/C][C]55.801[/C][C]87.0566326530612[/C][C]-31.2556326530612[/C][/ROW]
[ROW][C]103[/C][C]111.813[/C][C]87.0566326530612[/C][C]24.7563673469388[/C][/ROW]
[ROW][C]104[/C][C]120.293[/C][C]87.0566326530612[/C][C]33.2363673469388[/C][/ROW]
[ROW][C]105[/C][C]138.599[/C][C]113.150510204082[/C][C]25.4484897959184[/C][/ROW]
[ROW][C]106[/C][C]161.647[/C][C]113.150510204082[/C][C]48.4964897959184[/C][/ROW]
[ROW][C]107[/C][C]115.929[/C][C]113.150510204082[/C][C]2.77848979591838[/C][/ROW]
[ROW][C]108[/C][C]24.266[/C][C]36.851874251497[/C][C]-12.585874251497[/C][/ROW]
[ROW][C]109[/C][C]162.901[/C][C]113.150510204082[/C][C]49.7504897959184[/C][/ROW]
[ROW][C]110[/C][C]109.825[/C][C]87.0566326530612[/C][C]22.7683673469388[/C][/ROW]
[ROW][C]111[/C][C]129.838[/C][C]113.150510204082[/C][C]16.6874897959184[/C][/ROW]
[ROW][C]112[/C][C]37.51[/C][C]36.851874251497[/C][C]0.658125748502989[/C][/ROW]
[ROW][C]113[/C][C]43.75[/C][C]36.851874251497[/C][C]6.89812574850299[/C][/ROW]
[ROW][C]114[/C][C]40.652[/C][C]64.8680833333333[/C][C]-24.2160833333333[/C][/ROW]
[ROW][C]115[/C][C]87.771[/C][C]87.0566326530612[/C][C]0.714367346938772[/C][/ROW]
[ROW][C]116[/C][C]85.872[/C][C]87.0566326530612[/C][C]-1.18463265306123[/C][/ROW]
[ROW][C]117[/C][C]89.275[/C][C]87.0566326530612[/C][C]2.21836734693878[/C][/ROW]
[ROW][C]118[/C][C]44.418[/C][C]64.8680833333333[/C][C]-20.4500833333333[/C][/ROW]
[ROW][C]119[/C][C]192.565[/C][C]113.150510204082[/C][C]79.4144897959184[/C][/ROW]
[ROW][C]120[/C][C]35.232[/C][C]36.851874251497[/C][C]-1.61987425149701[/C][/ROW]
[ROW][C]121[/C][C]40.909[/C][C]36.851874251497[/C][C]4.05712574850299[/C][/ROW]
[ROW][C]122[/C][C]13.294[/C][C]36.851874251497[/C][C]-23.557874251497[/C][/ROW]
[ROW][C]123[/C][C]32.387[/C][C]36.851874251497[/C][C]-4.46487425149701[/C][/ROW]
[ROW][C]124[/C][C]140.867[/C][C]64.8680833333333[/C][C]75.9989166666667[/C][/ROW]
[ROW][C]125[/C][C]120.662[/C][C]113.150510204082[/C][C]7.51148979591838[/C][/ROW]
[ROW][C]126[/C][C]21.233[/C][C]36.851874251497[/C][C]-15.618874251497[/C][/ROW]
[ROW][C]127[/C][C]44.332[/C][C]36.851874251497[/C][C]7.48012574850299[/C][/ROW]
[ROW][C]128[/C][C]61.056[/C][C]36.851874251497[/C][C]24.204125748503[/C][/ROW]
[ROW][C]129[/C][C]101.338[/C][C]87.0566326530612[/C][C]14.2813673469388[/C][/ROW]
[ROW][C]130[/C][C]1.168[/C][C]36.851874251497[/C][C]-35.683874251497[/C][/ROW]
[ROW][C]131[/C][C]13.497[/C][C]36.851874251497[/C][C]-23.354874251497[/C][/ROW]
[ROW][C]132[/C][C]65.567[/C][C]87.0566326530612[/C][C]-21.4896326530612[/C][/ROW]
[ROW][C]133[/C][C]25.162[/C][C]36.851874251497[/C][C]-11.689874251497[/C][/ROW]
[ROW][C]134[/C][C]32.334[/C][C]36.851874251497[/C][C]-4.51787425149701[/C][/ROW]
[ROW][C]135[/C][C]40.735[/C][C]36.851874251497[/C][C]3.88312574850299[/C][/ROW]
[ROW][C]136[/C][C]91.413[/C][C]113.150510204082[/C][C]-21.7375102040816[/C][/ROW]
[ROW][C]137[/C][C]855[/C][C]36.851874251497[/C][C]818.148125748503[/C][/ROW]
[ROW][C]138[/C][C]97.068[/C][C]87.0566326530612[/C][C]10.0113673469388[/C][/ROW]
[ROW][C]139[/C][C]44.339[/C][C]36.851874251497[/C][C]7.48712574850299[/C][/ROW]
[ROW][C]140[/C][C]14.116[/C][C]36.851874251497[/C][C]-22.735874251497[/C][/ROW]
[ROW][C]141[/C][C]10.288[/C][C]36.851874251497[/C][C]-26.563874251497[/C][/ROW]
[ROW][C]142[/C][C]65.622[/C][C]64.8680833333333[/C][C]0.753916666666669[/C][/ROW]
[ROW][C]143[/C][C]16.563[/C][C]36.851874251497[/C][C]-20.288874251497[/C][/ROW]
[ROW][C]144[/C][C]76.643[/C][C]113.150510204082[/C][C]-36.5075102040816[/C][/ROW]
[ROW][C]145[/C][C]110.681[/C][C]87.0566326530612[/C][C]23.6243673469388[/C][/ROW]
[ROW][C]146[/C][C]29.011[/C][C]36.851874251497[/C][C]-7.84087425149701[/C][/ROW]
[ROW][C]147[/C][C]92.696[/C][C]36.851874251497[/C][C]55.844125748503[/C][/ROW]
[ROW][C]148[/C][C]94.785[/C][C]36.851874251497[/C][C]57.933125748503[/C][/ROW]
[ROW][C]149[/C][C]8.773[/C][C]36.851874251497[/C][C]-28.078874251497[/C][/ROW]
[ROW][C]150[/C][C]83.209[/C][C]36.851874251497[/C][C]46.357125748503[/C][/ROW]
[ROW][C]151[/C][C]93.815[/C][C]113.150510204082[/C][C]-19.3355102040816[/C][/ROW]
[ROW][C]152[/C][C]86.687[/C][C]87.0566326530612[/C][C]-0.369632653061231[/C][/ROW]
[ROW][C]153[/C][C]34.553[/C][C]36.851874251497[/C][C]-2.29887425149701[/C][/ROW]
[ROW][C]154[/C][C]105.547[/C][C]113.150510204082[/C][C]-7.60351020408163[/C][/ROW]
[ROW][C]155[/C][C]103.487[/C][C]113.150510204082[/C][C]-9.66351020408163[/C][/ROW]
[ROW][C]156[/C][C]213.688[/C][C]113.150510204082[/C][C]100.537489795918[/C][/ROW]
[ROW][C]157[/C][C]71.22[/C][C]64.8680833333333[/C][C]6.35191666666667[/C][/ROW]
[ROW][C]158[/C][C]23.517[/C][C]36.851874251497[/C][C]-13.334874251497[/C][/ROW]
[ROW][C]159[/C][C]56.926[/C][C]36.851874251497[/C][C]20.074125748503[/C][/ROW]
[ROW][C]160[/C][C]91.721[/C][C]87.0566326530612[/C][C]4.66436734693877[/C][/ROW]
[ROW][C]161[/C][C]115.168[/C][C]113.150510204082[/C][C]2.01748979591838[/C][/ROW]
[ROW][C]162[/C][C]111.194[/C][C]36.851874251497[/C][C]74.342125748503[/C][/ROW]
[ROW][C]163[/C][C]51.009[/C][C]36.851874251497[/C][C]14.157125748503[/C][/ROW]
[ROW][C]164[/C][C]135.777[/C][C]113.150510204082[/C][C]22.6264897959184[/C][/ROW]
[ROW][C]165[/C][C]51.513[/C][C]36.851874251497[/C][C]14.661125748503[/C][/ROW]
[ROW][C]166[/C][C]74.163[/C][C]113.150510204082[/C][C]-38.9875102040816[/C][/ROW]
[ROW][C]167[/C][C]51.633[/C][C]87.0566326530612[/C][C]-35.4236326530612[/C][/ROW]
[ROW][C]168[/C][C]75.345[/C][C]36.851874251497[/C][C]38.493125748503[/C][/ROW]
[ROW][C]169[/C][C]33.416[/C][C]64.8680833333333[/C][C]-31.4520833333333[/C][/ROW]
[ROW][C]170[/C][C]83.305[/C][C]64.8680833333333[/C][C]18.4369166666667[/C][/ROW]
[ROW][C]171[/C][C]98.952[/C][C]87.0566326530612[/C][C]11.8953673469388[/C][/ROW]
[ROW][C]172[/C][C]102.372[/C][C]87.0566326530612[/C][C]15.3153673469388[/C][/ROW]
[ROW][C]173[/C][C]37.238[/C][C]36.851874251497[/C][C]0.386125748502991[/C][/ROW]
[ROW][C]174[/C][C]103.772[/C][C]113.150510204082[/C][C]-9.37851020408162[/C][/ROW]
[ROW][C]175[/C][C]123.969[/C][C]36.851874251497[/C][C]87.117125748503[/C][/ROW]
[ROW][C]176[/C][C]27.142[/C][C]36.851874251497[/C][C]-9.70987425149701[/C][/ROW]
[ROW][C]177[/C][C]135.4[/C][C]113.150510204082[/C][C]22.2494897959184[/C][/ROW]
[ROW][C]178[/C][C]21.399[/C][C]36.851874251497[/C][C]-15.452874251497[/C][/ROW]
[ROW][C]179[/C][C]130.115[/C][C]113.150510204082[/C][C]16.9644897959184[/C][/ROW]
[ROW][C]180[/C][C]24.874[/C][C]36.851874251497[/C][C]-11.977874251497[/C][/ROW]
[ROW][C]181[/C][C]34.988[/C][C]36.851874251497[/C][C]-1.86387425149701[/C][/ROW]
[ROW][C]182[/C][C]45.549[/C][C]36.851874251497[/C][C]8.69712574850299[/C][/ROW]
[ROW][C]183[/C][C]6.023[/C][C]36.851874251497[/C][C]-30.828874251497[/C][/ROW]
[ROW][C]184[/C][C]64.466[/C][C]87.0566326530612[/C][C]-22.5906326530612[/C][/ROW]
[ROW][C]185[/C][C]54.99[/C][C]113.150510204082[/C][C]-58.1605102040816[/C][/ROW]
[ROW][C]186[/C][C]1.644[/C][C]36.851874251497[/C][C]-35.207874251497[/C][/ROW]
[ROW][C]187[/C][C]6.179[/C][C]36.851874251497[/C][C]-30.672874251497[/C][/ROW]
[ROW][C]188[/C][C]3.926[/C][C]36.851874251497[/C][C]-32.925874251497[/C][/ROW]
[ROW][C]189[/C][C]32.755[/C][C]36.851874251497[/C][C]-4.09687425149701[/C][/ROW]
[ROW][C]190[/C][C]34.777[/C][C]36.851874251497[/C][C]-2.07487425149701[/C][/ROW]
[ROW][C]191[/C][C]73.224[/C][C]36.851874251497[/C][C]36.372125748503[/C][/ROW]
[ROW][C]192[/C][C]27.114[/C][C]36.851874251497[/C][C]-9.73787425149701[/C][/ROW]
[ROW][C]193[/C][C]20.76[/C][C]36.851874251497[/C][C]-16.091874251497[/C][/ROW]
[ROW][C]194[/C][C]37.636[/C][C]36.851874251497[/C][C]0.784125748502994[/C][/ROW]
[ROW][C]195[/C][C]65.461[/C][C]64.8680833333333[/C][C]0.592916666666667[/C][/ROW]
[ROW][C]196[/C][C]30.08[/C][C]36.851874251497[/C][C]-6.77187425149701[/C][/ROW]
[ROW][C]197[/C][C]24.094[/C][C]36.851874251497[/C][C]-12.757874251497[/C][/ROW]
[ROW][C]198[/C][C]69.008[/C][C]36.851874251497[/C][C]32.156125748503[/C][/ROW]
[ROW][C]199[/C][C]54.968[/C][C]36.851874251497[/C][C]18.116125748503[/C][/ROW]
[ROW][C]200[/C][C]46.09[/C][C]36.851874251497[/C][C]9.23812574850299[/C][/ROW]
[ROW][C]201[/C][C]27.507[/C][C]36.851874251497[/C][C]-9.34487425149701[/C][/ROW]
[ROW][C]202[/C][C]10.672[/C][C]36.851874251497[/C][C]-26.179874251497[/C][/ROW]
[ROW][C]203[/C][C]34.029[/C][C]36.851874251497[/C][C]-2.82287425149701[/C][/ROW]
[ROW][C]204[/C][C]46.3[/C][C]36.851874251497[/C][C]9.44812574850299[/C][/ROW]
[ROW][C]205[/C][C]24.76[/C][C]36.851874251497[/C][C]-12.091874251497[/C][/ROW]
[ROW][C]206[/C][C]18.779[/C][C]36.851874251497[/C][C]-18.072874251497[/C][/ROW]
[ROW][C]207[/C][C]21.28[/C][C]36.851874251497[/C][C]-15.571874251497[/C][/ROW]
[ROW][C]208[/C][C]40.662[/C][C]36.851874251497[/C][C]3.81012574850299[/C][/ROW]
[ROW][C]209[/C][C]28.987[/C][C]36.851874251497[/C][C]-7.86487425149701[/C][/ROW]
[ROW][C]210[/C][C]22.827[/C][C]36.851874251497[/C][C]-14.024874251497[/C][/ROW]
[ROW][C]211[/C][C]18.513[/C][C]36.851874251497[/C][C]-18.338874251497[/C][/ROW]
[ROW][C]212[/C][C]30.594[/C][C]36.851874251497[/C][C]-6.25787425149701[/C][/ROW]
[ROW][C]213[/C][C]24.006[/C][C]36.851874251497[/C][C]-12.845874251497[/C][/ROW]
[ROW][C]214[/C][C]27.913[/C][C]36.851874251497[/C][C]-8.93887425149701[/C][/ROW]
[ROW][C]215[/C][C]42.744[/C][C]36.851874251497[/C][C]5.89212574850299[/C][/ROW]
[ROW][C]216[/C][C]12.934[/C][C]36.851874251497[/C][C]-23.917874251497[/C][/ROW]
[ROW][C]217[/C][C]22.574[/C][C]36.851874251497[/C][C]-14.277874251497[/C][/ROW]
[ROW][C]218[/C][C]41.385[/C][C]36.851874251497[/C][C]4.53312574850299[/C][/ROW]
[ROW][C]219[/C][C]18.653[/C][C]36.851874251497[/C][C]-18.198874251497[/C][/ROW]
[ROW][C]220[/C][C]18.472[/C][C]36.851874251497[/C][C]-18.379874251497[/C][/ROW]
[ROW][C]221[/C][C]30.976[/C][C]36.851874251497[/C][C]-5.87587425149701[/C][/ROW]
[ROW][C]222[/C][C]63.339[/C][C]64.8680833333333[/C][C]-1.52908333333333[/C][/ROW]
[ROW][C]223[/C][C]25.568[/C][C]36.851874251497[/C][C]-11.283874251497[/C][/ROW]
[ROW][C]224[/C][C]33.747[/C][C]36.851874251497[/C][C]-3.10487425149701[/C][/ROW]
[ROW][C]225[/C][C]4.154[/C][C]36.851874251497[/C][C]-32.697874251497[/C][/ROW]
[ROW][C]226[/C][C]19.474[/C][C]36.851874251497[/C][C]-17.377874251497[/C][/ROW]
[ROW][C]227[/C][C]35.13[/C][C]36.851874251497[/C][C]-1.72187425149701[/C][/ROW]
[ROW][C]228[/C][C]39.067[/C][C]36.851874251497[/C][C]2.21512574850299[/C][/ROW]
[ROW][C]229[/C][C]13.31[/C][C]36.851874251497[/C][C]-23.541874251497[/C][/ROW]
[ROW][C]230[/C][C]65.892[/C][C]36.851874251497[/C][C]29.040125748503[/C][/ROW]
[ROW][C]231[/C][C]4.143[/C][C]36.851874251497[/C][C]-32.708874251497[/C][/ROW]
[ROW][C]232[/C][C]28.579[/C][C]36.851874251497[/C][C]-8.27287425149701[/C][/ROW]
[ROW][C]233[/C][C]51.776[/C][C]36.851874251497[/C][C]14.924125748503[/C][/ROW]
[ROW][C]234[/C][C]21.152[/C][C]36.851874251497[/C][C]-15.699874251497[/C][/ROW]
[ROW][C]235[/C][C]38.084[/C][C]36.851874251497[/C][C]1.23212574850299[/C][/ROW]
[ROW][C]236[/C][C]27.717[/C][C]36.851874251497[/C][C]-9.13487425149701[/C][/ROW]
[ROW][C]237[/C][C]32.928[/C][C]36.851874251497[/C][C]-3.92387425149701[/C][/ROW]
[ROW][C]238[/C][C]11.342[/C][C]36.851874251497[/C][C]-25.509874251497[/C][/ROW]
[ROW][C]239[/C][C]19.499[/C][C]36.851874251497[/C][C]-17.352874251497[/C][/ROW]
[ROW][C]240[/C][C]16.38[/C][C]36.851874251497[/C][C]-20.471874251497[/C][/ROW]
[ROW][C]241[/C][C]36.874[/C][C]36.851874251497[/C][C]0.0221257485029938[/C][/ROW]
[ROW][C]242[/C][C]48.259[/C][C]36.851874251497[/C][C]11.407125748503[/C][/ROW]
[ROW][C]243[/C][C]16.734[/C][C]36.851874251497[/C][C]-20.117874251497[/C][/ROW]
[ROW][C]244[/C][C]28.207[/C][C]36.851874251497[/C][C]-8.64487425149701[/C][/ROW]
[ROW][C]245[/C][C]30.143[/C][C]36.851874251497[/C][C]-6.70887425149701[/C][/ROW]
[ROW][C]246[/C][C]41.369[/C][C]36.851874251497[/C][C]4.51712574850299[/C][/ROW]
[ROW][C]247[/C][C]45.833[/C][C]36.851874251497[/C][C]8.98112574850299[/C][/ROW]
[ROW][C]248[/C][C]29.156[/C][C]36.851874251497[/C][C]-7.69587425149701[/C][/ROW]
[ROW][C]249[/C][C]35.944[/C][C]36.851874251497[/C][C]-0.907874251497006[/C][/ROW]
[ROW][C]250[/C][C]36.278[/C][C]36.851874251497[/C][C]-0.57387425149701[/C][/ROW]
[ROW][C]251[/C][C]45.588[/C][C]36.851874251497[/C][C]8.73612574850299[/C][/ROW]
[ROW][C]252[/C][C]45.097[/C][C]36.851874251497[/C][C]8.24512574850299[/C][/ROW]
[ROW][C]253[/C][C]3.895[/C][C]36.851874251497[/C][C]-32.956874251497[/C][/ROW]
[ROW][C]254[/C][C]28.394[/C][C]36.851874251497[/C][C]-8.45787425149701[/C][/ROW]
[ROW][C]255[/C][C]18.632[/C][C]36.851874251497[/C][C]-18.219874251497[/C][/ROW]
[ROW][C]256[/C][C]2.325[/C][C]36.851874251497[/C][C]-34.526874251497[/C][/ROW]
[ROW][C]257[/C][C]25.139[/C][C]36.851874251497[/C][C]-11.712874251497[/C][/ROW]
[ROW][C]258[/C][C]27.975[/C][C]36.851874251497[/C][C]-8.87687425149701[/C][/ROW]
[ROW][C]259[/C][C]14.483[/C][C]36.851874251497[/C][C]-22.368874251497[/C][/ROW]
[ROW][C]260[/C][C]13.127[/C][C]36.851874251497[/C][C]-23.724874251497[/C][/ROW]
[ROW][C]261[/C][C]5.839[/C][C]36.851874251497[/C][C]-31.012874251497[/C][/ROW]
[ROW][C]262[/C][C]24.069[/C][C]36.851874251497[/C][C]-12.782874251497[/C][/ROW]
[ROW][C]263[/C][C]3.738[/C][C]36.851874251497[/C][C]-33.113874251497[/C][/ROW]
[ROW][C]264[/C][C]18.625[/C][C]36.851874251497[/C][C]-18.226874251497[/C][/ROW]
[ROW][C]265[/C][C]36.341[/C][C]36.851874251497[/C][C]-0.510874251497007[/C][/ROW]
[ROW][C]266[/C][C]24.548[/C][C]36.851874251497[/C][C]-12.303874251497[/C][/ROW]
[ROW][C]267[/C][C]21.792[/C][C]36.851874251497[/C][C]-15.059874251497[/C][/ROW]
[ROW][C]268[/C][C]26.263[/C][C]36.851874251497[/C][C]-10.588874251497[/C][/ROW]
[ROW][C]269[/C][C]23.686[/C][C]36.851874251497[/C][C]-13.165874251497[/C][/ROW]
[ROW][C]270[/C][C]49.303[/C][C]36.851874251497[/C][C]12.451125748503[/C][/ROW]
[ROW][C]271[/C][C]25.659[/C][C]36.851874251497[/C][C]-11.192874251497[/C][/ROW]
[ROW][C]272[/C][C]28.904[/C][C]36.851874251497[/C][C]-7.94787425149701[/C][/ROW]
[ROW][C]273[/C][C]2.781[/C][C]36.851874251497[/C][C]-34.070874251497[/C][/ROW]
[ROW][C]274[/C][C]29.236[/C][C]36.851874251497[/C][C]-7.61587425149701[/C][/ROW]
[ROW][C]275[/C][C]19.546[/C][C]36.851874251497[/C][C]-17.305874251497[/C][/ROW]
[ROW][C]276[/C][C]22.818[/C][C]36.851874251497[/C][C]-14.033874251497[/C][/ROW]
[ROW][C]277[/C][C]32.689[/C][C]36.851874251497[/C][C]-4.16287425149701[/C][/ROW]
[ROW][C]278[/C][C]5.752[/C][C]36.851874251497[/C][C]-31.099874251497[/C][/ROW]
[ROW][C]279[/C][C]22.197[/C][C]36.851874251497[/C][C]-14.654874251497[/C][/ROW]
[ROW][C]280[/C][C]20.055[/C][C]36.851874251497[/C][C]-16.796874251497[/C][/ROW]
[ROW][C]281[/C][C]25.272[/C][C]36.851874251497[/C][C]-11.579874251497[/C][/ROW]
[ROW][C]282[/C][C]82.206[/C][C]36.851874251497[/C][C]45.354125748503[/C][/ROW]
[ROW][C]283[/C][C]32.073[/C][C]36.851874251497[/C][C]-4.77887425149701[/C][/ROW]
[ROW][C]284[/C][C]5.444[/C][C]36.851874251497[/C][C]-31.407874251497[/C][/ROW]
[ROW][C]285[/C][C]20.154[/C][C]36.851874251497[/C][C]-16.697874251497[/C][/ROW]
[ROW][C]286[/C][C]36.944[/C][C]36.851874251497[/C][C]0.092125748502994[/C][/ROW]
[ROW][C]287[/C][C]8.019[/C][C]36.851874251497[/C][C]-28.832874251497[/C][/ROW]
[ROW][C]288[/C][C]30.884[/C][C]36.851874251497[/C][C]-5.96787425149701[/C][/ROW]
[ROW][C]289[/C][C]19.54[/C][C]36.851874251497[/C][C]-17.311874251497[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155728&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155728&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	112.285	113.150510204082	-0.86551020408163
2	84.786	87.0566326530612	-2.27063265306123
3	83.123	87.0566326530612	-3.93363265306122
4	101.193	87.0566326530612	14.1363673469388
5	38.361	64.8680833333333	-26.5070833333333
6	68.504	36.851874251497	31.652125748503
7	119.182	113.150510204082	6.03148979591838
8	22.807	36.851874251497	-14.044874251497
9	17.14	36.851874251497	-19.711874251497
10	116.174	87.0566326530612	29.1173673469388
11	57.635	64.8680833333333	-7.23308333333333
12	66.198	113.150510204082	-46.9525102040816
13	71.701	64.8680833333333	6.83291666666666
14	57.793	36.851874251497	20.941125748503
15	80.444	87.0566326530612	-6.61263265306123
16	53.855	87.0566326530612	-33.2016326530612
17	97.668	113.150510204082	-15.4825102040816
18	133.824	113.150510204082	20.6734897959184
19	101.481	87.0566326530612	14.4243673469388
20	99.645	87.0566326530612	12.5883673469388
21	114.789	87.0566326530612	27.7323673469388
22	99.052	113.150510204082	-14.0985102040816
23	67.654	113.150510204082	-45.4965102040816
24	65.553	64.8680833333333	0.684916666666666
25	97.5	87.0566326530612	10.4433673469388
26	69.112	87.0566326530612	-17.9446326530612
27	82.753	87.0566326530612	-4.30363265306123
28	85.323	113.150510204082	-27.8275102040816
29	72.654	113.150510204082	-40.4965102040816
30	30.727	36.851874251497	-6.12487425149701
31	77.873	113.150510204082	-35.2775102040816
32	117.478	113.150510204082	4.32748979591837
33	74.007	87.0566326530612	-13.0496326530612
34	90.183	113.150510204082	-22.9675102040816
35	61.542	36.851874251497	24.690125748503
36	101.494	113.150510204082	-11.6565102040816
37	27.57	36.851874251497	-9.28187425149701
38	55.813	64.8680833333333	-9.05508333333333
39	79.215	113.150510204082	-33.9355102040816
40	1.423	36.851874251497	-35.428874251497
41	55.461	87.0566326530612	-31.5956326530612
42	31.081	36.851874251497	-5.77087425149701
43	22.996	36.851874251497	-13.855874251497
44	83.122	113.150510204082	-30.0285102040816
45	70.106	87.0566326530612	-16.9506326530612
46	60.578	64.8680833333333	-4.29008333333333
47	39.992	36.851874251497	3.14012574850299
48	79.892	64.8680833333333	15.0239166666667
49	49.81	36.851874251497	12.958125748503
50	71.57	64.8680833333333	6.70191666666666
51	100.708	64.8680833333333	35.8399166666667
52	33.032	36.851874251497	-3.81987425149701
53	82.875	87.0566326530612	-4.18163265306123
54	139.077	113.150510204082	25.9264897959184
55	71.595	87.0566326530612	-15.4616326530612
56	72.26	113.150510204082	-40.8905102040816
57	5.95	36.851874251497	-30.901874251497
58	115.762	113.150510204082	2.61148979591837
59	32.551	36.851874251497	-4.30087425149701
60	31.701	36.851874251497	-5.15087425149701
61	80.67	87.0566326530612	-6.38663265306123
62	143.558	113.150510204082	30.4074897959184
63	117.105	113.150510204082	3.95448979591838
64	23.789	36.851874251497	-13.062874251497
65	120.733	113.150510204082	7.58248979591838
66	105.195	113.150510204082	-7.95551020408163
67	73.107	36.851874251497	36.255125748503
68	132.068	113.150510204082	18.9174897959184
69	149.193	113.150510204082	36.0424897959184
70	46.821	64.8680833333333	-18.0470833333333
71	87.011	87.0566326530612	-0.045632653061233
72	95.26	113.150510204082	-17.8905102040816
73	55.183	87.0566326530612	-31.8736326530612
74	106.671	87.0566326530612	19.6143673469388
75	73.511	87.0566326530612	-13.5456326530612
76	92.945	87.0566326530612	5.88836734693876
77	78.664	64.8680833333333	13.7959166666667
78	70.054	87.0566326530612	-17.0026326530612
79	22.618	36.851874251497	-14.233874251497
80	74.011	87.0566326530612	-13.0456326530612
81	83.737	87.0566326530612	-3.31963265306123
82	69.094	87.0566326530612	-17.9626326530612
83	93.133	87.0566326530612	6.07636734693877
84	95.536	113.150510204082	-17.6145102040816
85	225.92	113.150510204082	112.769489795918
86	62.133	36.851874251497	25.281125748503
87	61.37	36.851874251497	24.518125748503
88	43.836	36.851874251497	6.98412574850299
89	106.117	113.150510204082	-7.03351020408162
90	38.692	64.8680833333333	-26.1760833333333
91	84.651	87.0566326530612	-2.40563265306123
92	56.622	36.851874251497	19.770125748503
93	15.986	36.851874251497	-20.865874251497
94	95.364	87.0566326530612	8.30736734693878
95	26.706	36.851874251497	-10.145874251497
96	89.691	64.8680833333333	24.8229166666667
97	67.267	113.150510204082	-45.8835102040816
98	126.846	87.0566326530612	39.7893673469388
99	41.14	64.8680833333333	-23.7280833333333
100	102.86	87.0566326530612	15.8033673469388
101	51.715	64.8680833333333	-13.1530833333333
102	55.801	87.0566326530612	-31.2556326530612
103	111.813	87.0566326530612	24.7563673469388
104	120.293	87.0566326530612	33.2363673469388
105	138.599	113.150510204082	25.4484897959184
106	161.647	113.150510204082	48.4964897959184
107	115.929	113.150510204082	2.77848979591838
108	24.266	36.851874251497	-12.585874251497
109	162.901	113.150510204082	49.7504897959184
110	109.825	87.0566326530612	22.7683673469388
111	129.838	113.150510204082	16.6874897959184
112	37.51	36.851874251497	0.658125748502989
113	43.75	36.851874251497	6.89812574850299
114	40.652	64.8680833333333	-24.2160833333333
115	87.771	87.0566326530612	0.714367346938772
116	85.872	87.0566326530612	-1.18463265306123
117	89.275	87.0566326530612	2.21836734693878
118	44.418	64.8680833333333	-20.4500833333333
119	192.565	113.150510204082	79.4144897959184
120	35.232	36.851874251497	-1.61987425149701
121	40.909	36.851874251497	4.05712574850299
122	13.294	36.851874251497	-23.557874251497
123	32.387	36.851874251497	-4.46487425149701
124	140.867	64.8680833333333	75.9989166666667
125	120.662	113.150510204082	7.51148979591838
126	21.233	36.851874251497	-15.618874251497
127	44.332	36.851874251497	7.48012574850299
128	61.056	36.851874251497	24.204125748503
129	101.338	87.0566326530612	14.2813673469388
130	1.168	36.851874251497	-35.683874251497
131	13.497	36.851874251497	-23.354874251497
132	65.567	87.0566326530612	-21.4896326530612
133	25.162	36.851874251497	-11.689874251497
134	32.334	36.851874251497	-4.51787425149701
135	40.735	36.851874251497	3.88312574850299
136	91.413	113.150510204082	-21.7375102040816
137	855	36.851874251497	818.148125748503
138	97.068	87.0566326530612	10.0113673469388
139	44.339	36.851874251497	7.48712574850299
140	14.116	36.851874251497	-22.735874251497
141	10.288	36.851874251497	-26.563874251497
142	65.622	64.8680833333333	0.753916666666669
143	16.563	36.851874251497	-20.288874251497
144	76.643	113.150510204082	-36.5075102040816
145	110.681	87.0566326530612	23.6243673469388
146	29.011	36.851874251497	-7.84087425149701
147	92.696	36.851874251497	55.844125748503
148	94.785	36.851874251497	57.933125748503
149	8.773	36.851874251497	-28.078874251497
150	83.209	36.851874251497	46.357125748503
151	93.815	113.150510204082	-19.3355102040816
152	86.687	87.0566326530612	-0.369632653061231
153	34.553	36.851874251497	-2.29887425149701
154	105.547	113.150510204082	-7.60351020408163
155	103.487	113.150510204082	-9.66351020408163
156	213.688	113.150510204082	100.537489795918
157	71.22	64.8680833333333	6.35191666666667
158	23.517	36.851874251497	-13.334874251497
159	56.926	36.851874251497	20.074125748503
160	91.721	87.0566326530612	4.66436734693877
161	115.168	113.150510204082	2.01748979591838
162	111.194	36.851874251497	74.342125748503
163	51.009	36.851874251497	14.157125748503
164	135.777	113.150510204082	22.6264897959184
165	51.513	36.851874251497	14.661125748503
166	74.163	113.150510204082	-38.9875102040816
167	51.633	87.0566326530612	-35.4236326530612
168	75.345	36.851874251497	38.493125748503
169	33.416	64.8680833333333	-31.4520833333333
170	83.305	64.8680833333333	18.4369166666667
171	98.952	87.0566326530612	11.8953673469388
172	102.372	87.0566326530612	15.3153673469388
173	37.238	36.851874251497	0.386125748502991
174	103.772	113.150510204082	-9.37851020408162
175	123.969	36.851874251497	87.117125748503
176	27.142	36.851874251497	-9.70987425149701
177	135.4	113.150510204082	22.2494897959184
178	21.399	36.851874251497	-15.452874251497
179	130.115	113.150510204082	16.9644897959184
180	24.874	36.851874251497	-11.977874251497
181	34.988	36.851874251497	-1.86387425149701
182	45.549	36.851874251497	8.69712574850299
183	6.023	36.851874251497	-30.828874251497
184	64.466	87.0566326530612	-22.5906326530612
185	54.99	113.150510204082	-58.1605102040816
186	1.644	36.851874251497	-35.207874251497
187	6.179	36.851874251497	-30.672874251497
188	3.926	36.851874251497	-32.925874251497
189	32.755	36.851874251497	-4.09687425149701
190	34.777	36.851874251497	-2.07487425149701
191	73.224	36.851874251497	36.372125748503
192	27.114	36.851874251497	-9.73787425149701
193	20.76	36.851874251497	-16.091874251497
194	37.636	36.851874251497	0.784125748502994
195	65.461	64.8680833333333	0.592916666666667
196	30.08	36.851874251497	-6.77187425149701
197	24.094	36.851874251497	-12.757874251497
198	69.008	36.851874251497	32.156125748503
199	54.968	36.851874251497	18.116125748503
200	46.09	36.851874251497	9.23812574850299
201	27.507	36.851874251497	-9.34487425149701
202	10.672	36.851874251497	-26.179874251497
203	34.029	36.851874251497	-2.82287425149701
204	46.3	36.851874251497	9.44812574850299
205	24.76	36.851874251497	-12.091874251497
206	18.779	36.851874251497	-18.072874251497
207	21.28	36.851874251497	-15.571874251497
208	40.662	36.851874251497	3.81012574850299
209	28.987	36.851874251497	-7.86487425149701
210	22.827	36.851874251497	-14.024874251497
211	18.513	36.851874251497	-18.338874251497
212	30.594	36.851874251497	-6.25787425149701
213	24.006	36.851874251497	-12.845874251497
214	27.913	36.851874251497	-8.93887425149701
215	42.744	36.851874251497	5.89212574850299
216	12.934	36.851874251497	-23.917874251497
217	22.574	36.851874251497	-14.277874251497
218	41.385	36.851874251497	4.53312574850299
219	18.653	36.851874251497	-18.198874251497
220	18.472	36.851874251497	-18.379874251497
221	30.976	36.851874251497	-5.87587425149701
222	63.339	64.8680833333333	-1.52908333333333
223	25.568	36.851874251497	-11.283874251497
224	33.747	36.851874251497	-3.10487425149701
225	4.154	36.851874251497	-32.697874251497
226	19.474	36.851874251497	-17.377874251497
227	35.13	36.851874251497	-1.72187425149701
228	39.067	36.851874251497	2.21512574850299
229	13.31	36.851874251497	-23.541874251497
230	65.892	36.851874251497	29.040125748503
231	4.143	36.851874251497	-32.708874251497
232	28.579	36.851874251497	-8.27287425149701
233	51.776	36.851874251497	14.924125748503
234	21.152	36.851874251497	-15.699874251497
235	38.084	36.851874251497	1.23212574850299
236	27.717	36.851874251497	-9.13487425149701
237	32.928	36.851874251497	-3.92387425149701
238	11.342	36.851874251497	-25.509874251497
239	19.499	36.851874251497	-17.352874251497
240	16.38	36.851874251497	-20.471874251497
241	36.874	36.851874251497	0.0221257485029938
242	48.259	36.851874251497	11.407125748503
243	16.734	36.851874251497	-20.117874251497
244	28.207	36.851874251497	-8.64487425149701
245	30.143	36.851874251497	-6.70887425149701
246	41.369	36.851874251497	4.51712574850299
247	45.833	36.851874251497	8.98112574850299
248	29.156	36.851874251497	-7.69587425149701
249	35.944	36.851874251497	-0.907874251497006
250	36.278	36.851874251497	-0.57387425149701
251	45.588	36.851874251497	8.73612574850299
252	45.097	36.851874251497	8.24512574850299
253	3.895	36.851874251497	-32.956874251497
254	28.394	36.851874251497	-8.45787425149701
255	18.632	36.851874251497	-18.219874251497
256	2.325	36.851874251497	-34.526874251497
257	25.139	36.851874251497	-11.712874251497
258	27.975	36.851874251497	-8.87687425149701
259	14.483	36.851874251497	-22.368874251497
260	13.127	36.851874251497	-23.724874251497
261	5.839	36.851874251497	-31.012874251497
262	24.069	36.851874251497	-12.782874251497
263	3.738	36.851874251497	-33.113874251497
264	18.625	36.851874251497	-18.226874251497
265	36.341	36.851874251497	-0.510874251497007
266	24.548	36.851874251497	-12.303874251497
267	21.792	36.851874251497	-15.059874251497
268	26.263	36.851874251497	-10.588874251497
269	23.686	36.851874251497	-13.165874251497
270	49.303	36.851874251497	12.451125748503
271	25.659	36.851874251497	-11.192874251497
272	28.904	36.851874251497	-7.94787425149701
273	2.781	36.851874251497	-34.070874251497
274	29.236	36.851874251497	-7.61587425149701
275	19.546	36.851874251497	-17.305874251497
276	22.818	36.851874251497	-14.033874251497
277	32.689	36.851874251497	-4.16287425149701
278	5.752	36.851874251497	-31.099874251497
279	22.197	36.851874251497	-14.654874251497
280	20.055	36.851874251497	-16.796874251497
281	25.272	36.851874251497	-11.579874251497
282	82.206	36.851874251497	45.354125748503
283	32.073	36.851874251497	-4.77887425149701
284	5.444	36.851874251497	-31.407874251497
285	20.154	36.851874251497	-16.697874251497
286	36.944	36.851874251497	0.092125748502994
287	8.019	36.851874251497	-28.832874251497
288	30.884	36.851874251497	-5.96787425149701
289	19.54	36.851874251497	-17.311874251497

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 = 1 ; par2 = none ; par3 = 3 ; par4 = no ;

Parameters (R input):

par1 = 1 ; 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