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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, 22 Dec 2011 13:17:43 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/22/t1324577882h9zh06gipdaccv9.htm/, Retrieved Fri, 03 May 2024 11:18:41 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159814, Retrieved Fri, 03 May 2024 11:18:41 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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

-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 18:59:57] [b98453cac15ba1066b407e146608df68]
- R PD    [Recursive Partitioning (Regression Trees)] [] [2011-12-22 18:17:43] [cf06acd98038b4d81f3740047b300562] [Current]

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Dataseries X:

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Histogram

Boxplots

210907	56	396	79	30	115
120982	56	297	58	28	109
176508	54	559	60	38	146
179321	89	967	108	30	116
123185	40	270	49	22	68
52746	25	143	0	26	101
385534	92	1562	121	25	96
33170	18	109	1	18	67
101645	63	371	20	11	44
149061	44	656	43	26	100
165446	33	511	69	25	93
237213	84	655	78	38	140
173326	88	465	86	44	166
133131	55	525	44	30	99
258873	60	885	104	40	139
180083	66	497	63	34	130
324799	154	1436	158	47	181
230964	53	612	102	30	116
236785	119	865	77	31	116
135473	41	385	82	23	88
202925	61	567	115	36	139
215147	58	639	101	36	135
344297	75	963	80	30	108
153935	33	398	50	25	89
132943	40	410	83	39	156
174724	92	966	123	34	129
174415	100	801	73	31	118
225548	112	892	81	31	118
223632	73	513	105	33	125
124817	40	469	47	25	95
221698	45	683	105	33	126
210767	60	643	94	35	135
170266	62	535	44	42	154
260561	75	625	114	43	165
84853	31	264	38	30	113
294424	77	992	107	33	127
101011	34	238	30	13	52
215641	46	818	71	32	121
325107	99	937	84	36	136
7176	17	70	0	0	0
167542	66	507	59	28	108
106408	30	260	33	14	46
96560	76	503	42	17	54
265769	146	927	96	32	124
269651	67	1269	106	30	115
149112	56	537	56	35	128
175824	107	910	57	20	80
152871	58	532	59	28	97
111665	34	345	39	28	104
116408	61	918	34	39	59
362301	119	1635	76	34	125
78800	42	330	20	26	82
183167	66	557	91	39	149
277965	89	1178	115	39	149
150629	44	740	85	33	122
168809	66	452	76	28	118
24188	24	218	8	4	12
329267	259	764	79	39	144
65029	17	255	21	18	67
101097	64	454	30	14	52
218946	41	866	76	29	108
244052	68	574	101	44	166
341570	168	1276	94	21	80
103597	43	379	27	16	60
233328	132	825	92	28	107
256462	105	798	123	35	127
206161	71	663	75	28	107
311473	112	1069	128	38	146
235800	94	921	105	23	84
177939	82	858	55	36	141
207176	70	711	56	32	123
196553	57	503	41	29	111
174184	53	382	72	25	98
143246	103	464	67	27	105
187559	121	717	75	36	135
187681	62	690	114	28	107
119016	52	462	118	23	85
182192	52	657	77	40	155
73566	32	385	22	23	88
194979	62	577	66	40	155
167488	45	619	69	28	104
143756	46	479	105	34	132
275541	63	817	116	33	127
243199	75	752	88	28	108
182999	88	430	73	34	129
135649	46	451	99	30	116
152299	53	537	62	33	122
120221	37	519	53	22	85
346485	90	1000	118	38	147
145790	63	637	30	26	99
193339	78	465	100	35	87
80953	25	437	49	8	28
122774	45	711	24	24	90
130585	46	299	67	29	109
112611	41	248	46	20	78
286468	144	1162	57	29	111
241066	82	714	75	45	158
148446	91	905	135	37	141
204713	71	649	68	33	122
182079	63	512	124	33	124
140344	53	472	33	25	93
220516	62	905	98	32	124
243060	63	786	58	29	112
162765	32	489	68	28	108
182613	39	479	81	28	99
232138	62	617	131	31	117
265318	117	925	110	52	199
85574	34	351	37	21	78
310839	92	1144	130	24	91
225060	93	669	93	41	158
232317	54	707	118	33	126
144966	144	458	39	32	122
43287	14	214	13	19	71
155754	61	599	74	20	75
164709	109	572	81	31	115
201940	38	897	109	31	119
235454	73	819	151	32	124
220801	75	720	51	18	72
99466	50	273	28	23	91
92661	61	508	40	17	45
133328	55	506	56	20	78
61361	77	451	27	12	39
125930	75	699	37	17	68
100750	72	407	83	30	119
224549	50	465	54	31	117
82316	32	245	27	10	39
102010	53	370	28	13	50
101523	42	316	59	22	88
243511	71	603	133	42	155
22938	10	154	12	1	0
41566	35	229	0	9	36
152474	65	577	106	32	123
61857	25	192	23	11	32
99923	66	617	44	25	99
132487	41	411	71	36	136
317394	86	975	116	31	117
21054	16	146	4	0	0
209641	42	705	62	24	88
22648	19	184	12	13	39
31414	19	200	18	8	25
46698	45	274	14	13	52
131698	65	502	60	19	75
91735	35	382	7	18	71
244749	95	964	98	33	124
184510	49	537	64	40	151
79863	37	438	29	22	71
128423	64	369	32	38	145
97839	38	417	25	24	87
38214	34	276	16	8	27
151101	32	514	48	35	131
272458	65	822	100	43	162
172494	52	389	46	43	165
108043	62	466	45	14	54
328107	65	1255	129	41	159
250579	83	694	130	38	147
351067	95	1024	136	45	170
158015	29	400	59	31	119
98866	18	397	25	13	49
85439	33	350	32	28	104
229242	247	719	63	31	120
351619	139	1277	95	40	150
84207	29	356	14	30	112
120445	118	457	36	16	59
324598	110	1402	113	37	136
131069	67	600	47	30	107
204271	42	480	92	35	130
165543	65	595	70	32	115
141722	94	436	19	27	107
116048	64	230	50	20	75
250047	81	651	41	18	71
299775	95	1367	91	31	120
195838	67	564	111	31	116
173260	63	716	41	21	79
254488	83	747	120	39	150
104389	45	467	135	41	156
136084	30	671	27	13	51
199476	70	861	87	32	118
92499	32	319	25	18	71
224330	83	612	131	39	144
135781	31	433	45	14	47
74408	67	434	29	7	28
81240	66	503	58	17	68
14688	10	85	4	0	0
181633	70	564	47	30	110
271856	103	824	109	37	147
7199	5	74	7	0	0
46660	20	259	12	5	15
17547	5	69	0	1	4
133368	36	535	37	16	64
95227	34	239	37	32	111
152601	48	438	46	24	85
98146	40	459	15	17	68
79619	43	426	42	11	40
59194	31	288	7	24	80
139942	42	498	54	22	88
118612	46	454	54	12	48
72880	33	376	14	19	76
65475	18	225	16	13	51
99643	55	555	33	17	67
71965	35	252	32	15	59
77272	59	208	21	16	61
49289	19	130	15	24	76
135131	66	481	38	15	60
108446	60	389	22	17	68
89746	36	565	28	18	71
44296	25	173	10	20	76
77648	47	278	31	16	62
181528	54	609	32	16	61
134019	53	422	32	18	67
124064	40	445	43	22	88
92630	40	387	27	8	30
121848	39	339	37	17	64
52915	14	181	20	18	68
81872	45	245	32	16	64
58981	36	384	0	23	91
53515	28	212	5	22	88
60812	44	399	26	13	52
56375	30	229	10	13	49
65490	22	224	27	16	62
80949	17	203	11	16	61
76302	31	333	29	20	76
104011	55	384	25	22	88
98104	54	636	55	17	66
67989	21	185	23	18	71
30989	14	93	5	17	68
135458	81	581	43	12	48
73504	35	248	23	7	25
63123	43	304	34	17	68
61254	46	344	36	14	41
74914	30	407	35	23	90
31774	23	170	0	17	66
81437	38	312	37	14	54
87186	54	507	28	15	59
50090	20	224	16	17	60
65745	53	340	26	21	77
56653	45	168	38	18	68
158399	39	443	23	18	72
46455	20	204	22	17	67
73624	24	367	30	17	64
38395	31	210	16	16	63
91899	35	335	18	15	59
139526	151	364	28	21	84
52164	52	178	32	16	64
51567	30	206	21	14	56
70551	31	279	23	15	54
84856	29	387	29	17	67
102538	57	490	50	15	58
86678	40	238	12	15	59
85709	44	343	21	10	40
34662	25	232	18	6	22
150580	77	530	27	22	83
99611	35	291	41	21	81
19349	11	67	13	1	2
99373	63	397	12	18	72
86230	44	467	21	17	61
30837	19	178	8	4	15
31706	13	175	26	10	32
89806	42	299	27	16	62
62088	38	154	13	16	58
40151	29	106	16	9	36
27634	20	189	2	16	59
76990	27	194	42	17	68
37460	20	135	5	7	21
54157	19	201	37	15	55
49862	37	207	17	14	54
84337	26	280	38	14	55
64175	42	260	37	18	72
59382	49	227	29	12	41
119308	30	239	32	16	61
76702	49	333	35	21	67
103425	67	428	17	19	76
70344	28	230	20	16	64
43410	19	292	7	1	3
104838	49	350	46	16	63
62215	27	186	24	10	40
69304	30	326	40	19	69
53117	22	155	3	12	48
19764	12	75	10	2	8
86680	31	361	37	14	52
84105	20	261	17	17	66
77945	20	299	28	19	76
89113	39	300	19	14	43
91005	29	450	29	11	39
40248	16	183	8	4	14
64187	27	238	10	16	61
50857	21	165	15	20	71
56613	19	234	15	12	44
62792	35	176	28	15	60
72535	14	329	17	16	64

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	6 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 6 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159814&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159814&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159814&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	6 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Goodness of Fit
Correlation	0.9819
R-squared	0.9641
RMSE	7.6041

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.9819 \tabularnewline
R-squared & 0.9641 \tabularnewline
RMSE & 7.6041 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159814&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.9819[/C][/ROW]
[ROW][C]R-squared[/C][C]0.9641[/C][/ROW]
[ROW][C]RMSE[/C][C]7.6041[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159814&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159814&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	0.9819
R-squared	0.9641
RMSE	7.6041

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	115	111.588235294118	3.41176470588235
2	109	106.133333333333	2.86666666666666
3	146	141.407407407407	4.59259259259258
4	116	111.588235294118	4.41176470588235
5	68	85.2608695652174	-17.2608695652174
6	101	95	6
7	96	95	1
8	67	70	-3
9	44	40.375	3.625
10	100	95	5
11	93	95	-2
12	140	141.407407407407	-1.40740740740742
13	166	165.285714285714	0.714285714285722
14	99	111.588235294118	-12.5882352941177
15	139	141.407407407407	-2.40740740740742
16	130	121.976744186047	8.02325581395348
17	181	165.285714285714	15.7142857142857
18	116	111.588235294118	4.41176470588235
19	116	121.976744186047	-5.97674418604652
20	88	85.2608695652174	2.73913043478261
21	139	141.407407407407	-2.40740740740742
22	135	141.407407407407	-6.40740740740742
23	108	111.588235294118	-3.58823529411765
24	89	95	-6
25	156	141.407407407407	14.5925925925926
26	129	121.976744186047	7.02325581395348
27	118	121.976744186047	-3.97674418604652
28	118	121.976744186047	-3.97674418604652
29	125	121.976744186047	3.02325581395348
30	95	95	0
31	126	121.976744186047	4.02325581395348
32	135	121.976744186047	13.0232558139535
33	154	165.285714285714	-11.2857142857143
34	165	165.285714285714	-0.285714285714278
35	113	111.588235294118	1.41176470588235
36	127	121.976744186047	5.02325581395348
37	52	49.95	2.05
38	121	121.976744186047	-0.976744186046517
39	136	141.407407407407	-5.40740740740742
40	0	5.61538461538461	-5.61538461538461
41	108	106.133333333333	1.86666666666666
42	46	49.95	-3.95
43	54	63.0526315789474	-9.05263157894737
44	124	121.976744186047	2.02325581395348
45	115	111.588235294118	3.41176470588235
46	128	121.976744186047	6.02325581395348
47	80	76.0952380952381	3.9047619047619
48	97	106.133333333333	-9.13333333333334
49	104	106.133333333333	-2.13333333333334
50	59	141.407407407407	-82.4074074074074
51	125	121.976744186047	3.02325581395348
52	82	95	-13
53	149	141.407407407407	7.59259259259258
54	149	141.407407407407	7.59259259259258
55	122	121.976744186047	0.0232558139534831
56	118	106.133333333333	11.8666666666667
57	12	5.61538461538461	6.38461538461539
58	144	141.407407407407	2.59259259259258
59	67	70	-3
60	52	49.95	2.05
61	108	111.588235294118	-3.58823529411765
62	166	165.285714285714	0.714285714285722
63	80	76.0952380952381	3.9047619047619
64	60	63.0526315789474	-3.05263157894737
65	107	106.133333333333	0.86666666666666
66	127	121.976744186047	5.02325581395348
67	107	106.133333333333	0.86666666666666
68	146	141.407407407407	4.59259259259258
69	84	85.2608695652174	-1.26086956521739
70	141	141.407407407407	-0.407407407407419
71	123	121.976744186047	1.02325581395348
72	111	111.588235294118	-0.588235294117652
73	98	95	3
74	105	106.133333333333	-1.13333333333334
75	135	141.407407407407	-6.40740740740742
76	107	106.133333333333	0.86666666666666
77	85	85.2608695652174	-0.260869565217391
78	155	141.407407407407	13.5925925925926
79	88	85.2608695652174	2.73913043478261
80	155	141.407407407407	13.5925925925926
81	104	106.133333333333	-2.13333333333334
82	132	121.976744186047	10.0232558139535
83	127	121.976744186047	5.02325581395348
84	108	106.133333333333	1.86666666666666
85	129	121.976744186047	7.02325581395348
86	116	111.588235294118	4.41176470588235
87	122	121.976744186047	0.0232558139534831
88	85	85.2608695652174	-0.260869565217391
89	147	141.407407407407	5.59259259259258
90	99	95	4
91	87	121.976744186047	-34.9767441860465
92	28	25.75	2.25
93	90	85.2608695652174	4.73913043478261
94	109	111.588235294118	-2.58823529411765
95	78	76.0952380952381	1.9047619047619
96	111	111.588235294118	-0.588235294117652
97	158	165.285714285714	-7.28571428571428
98	141	141.407407407407	-0.407407407407419
99	122	121.976744186047	0.0232558139534831
100	124	121.976744186047	2.02325581395348
101	93	95	-2
102	124	121.976744186047	2.02325581395348
103	112	111.588235294118	0.411764705882348
104	108	106.133333333333	1.86666666666666
105	99	106.133333333333	-7.13333333333334
106	117	121.976744186047	-4.97674418604652
107	199	165.285714285714	33.7142857142857
108	78	76.0952380952381	1.9047619047619
109	91	85.2608695652174	5.73913043478261
110	158	165.285714285714	-7.28571428571428
111	126	121.976744186047	4.02325581395348
112	122	121.976744186047	0.0232558139534831
113	71	76.0952380952381	-5.0952380952381
114	75	76.0952380952381	-1.0952380952381
115	115	121.976744186047	-6.97674418604652
116	119	121.976744186047	-2.97674418604652
117	124	121.976744186047	2.02325581395348
118	72	70	2
119	91	85.2608695652174	5.73913043478261
120	45	63.0526315789474	-18.0526315789474
121	78	76.0952380952381	1.9047619047619
122	39	40.375	-1.375
123	68	63.0526315789474	4.94736842105263
124	119	111.588235294118	7.41176470588235
125	117	121.976744186047	-4.97674418604652
126	39	40.375	-1.375
127	50	49.95	0.0499999999999972
128	88	85.2608695652174	2.73913043478261
129	155	165.285714285714	-10.2857142857143
130	0	5.61538461538461	-5.61538461538461
131	36	40.375	-4.375
132	123	121.976744186047	1.02325581395348
133	32	40.375	-8.375
134	99	95	4
135	136	141.407407407407	-5.40740740740742
136	117	121.976744186047	-4.97674418604652
137	0	5.61538461538461	-5.61538461538461
138	88	85.2608695652174	2.73913043478261
139	39	49.95	-10.95
140	25	25.75	-0.75
141	52	49.95	2.05
142	75	76.0952380952381	-1.0952380952381
143	71	70	1
144	124	121.976744186047	2.02325581395348
145	151	141.407407407407	9.59259259259258
146	71	85.2608695652174	-14.2608695652174
147	145	141.407407407407	3.59259259259258
148	87	85.2608695652174	1.73913043478261
149	27	25.75	1.25
150	131	121.976744186047	9.02325581395348
151	162	165.285714285714	-3.28571428571428
152	165	165.285714285714	-0.285714285714278
153	54	49.95	4.05
154	159	165.285714285714	-6.28571428571428
155	147	141.407407407407	5.59259259259258
156	170	165.285714285714	4.71428571428572
157	119	121.976744186047	-2.97674418604652
158	49	49.95	-0.950000000000003
159	104	106.133333333333	-2.13333333333334
160	120	121.976744186047	-1.97674418604652
161	150	141.407407407407	8.59259259259258
162	112	111.588235294118	0.411764705882348
163	59	63.0526315789474	-4.05263157894737
164	136	141.407407407407	-5.40740740740742
165	107	111.588235294118	-4.58823529411765
166	130	121.976744186047	8.02325581395348
167	115	121.976744186047	-6.97674418604652
168	107	106.133333333333	0.86666666666666
169	75	76.0952380952381	-1.0952380952381
170	71	70	1
171	120	121.976744186047	-1.97674418604652
172	116	121.976744186047	-5.97674418604652
173	79	76.0952380952381	2.9047619047619
174	150	141.407407407407	8.59259259259258
175	156	165.285714285714	-9.28571428571428
176	51	49.95	1.05
177	118	121.976744186047	-3.97674418604652
178	71	70	1
179	144	141.407407407407	2.59259259259258
180	47	49.95	-2.95
181	28	25.75	2.25
182	68	63.0526315789474	4.94736842105263
183	0	5.61538461538461	-5.61538461538461
184	110	111.588235294118	-1.58823529411765
185	147	141.407407407407	5.59259259259258
186	0	5.61538461538461	-5.61538461538461
187	15	5.61538461538461	9.38461538461539
188	4	5.61538461538461	-1.61538461538461
189	64	63.0526315789474	0.94736842105263
190	111	121.976744186047	-10.9767441860465
191	85	85.2608695652174	-0.260869565217391
192	68	63.0526315789474	4.94736842105263
193	40	40.375	-0.375
194	80	85.2608695652174	-5.26086956521739
195	88	85.2608695652174	2.73913043478261
196	48	40.375	7.625
197	76	76.0952380952381	-0.095238095238102
198	51	49.95	1.05
199	67	63.0526315789474	3.94736842105263
200	59	58.1111111111111	0.888888888888886
201	61	63.0526315789474	-2.05263157894737
202	76	85.2608695652174	-9.26086956521739
203	60	58.1111111111111	1.88888888888889
204	68	63.0526315789474	4.94736842105263
205	71	70	1
206	76	76.0952380952381	-0.095238095238102
207	62	63.0526315789474	-1.05263157894737
208	61	63.0526315789474	-2.05263157894737
209	67	70	-3
210	88	85.2608695652174	2.73913043478261
211	30	25.75	4.25
212	64	63.0526315789474	0.94736842105263
213	68	70	-2
214	64	63.0526315789474	0.94736842105263
215	91	85.2608695652174	5.73913043478261
216	88	85.2608695652174	2.73913043478261
217	52	49.95	2.05
218	49	49.95	-0.950000000000003
219	62	63.0526315789474	-1.05263157894737
220	61	63.0526315789474	-2.05263157894737
221	76	76.0952380952381	-0.095238095238102
222	88	85.2608695652174	2.73913043478261
223	66	63.0526315789474	2.94736842105263
224	71	70	1
225	68	63.0526315789474	4.94736842105263
226	48	40.375	7.625
227	25	25.75	-0.75
228	68	63.0526315789474	4.94736842105263
229	41	49.95	-8.95
230	90	85.2608695652174	4.73913043478261
231	66	63.0526315789474	2.94736842105263
232	54	49.95	4.05
233	59	58.1111111111111	0.888888888888886
234	60	63.0526315789474	-3.05263157894737
235	77	76.0952380952381	0.904761904761898
236	68	70	-2
237	72	70	2
238	67	63.0526315789474	3.94736842105263
239	64	63.0526315789474	0.94736842105263
240	63	63.0526315789474	-0.0526315789473699
241	59	58.1111111111111	0.888888888888886
242	84	76.0952380952381	7.9047619047619
243	64	63.0526315789474	0.94736842105263
244	56	49.95	6.05
245	54	58.1111111111111	-4.11111111111111
246	67	63.0526315789474	3.94736842105263
247	58	58.1111111111111	-0.111111111111114
248	59	58.1111111111111	0.888888888888886
249	40	40.375	-0.375
250	22	25.75	-3.75
251	83	85.2608695652174	-2.26086956521739
252	81	76.0952380952381	4.9047619047619
253	2	5.61538461538461	-3.61538461538461
254	72	70	2
255	61	63.0526315789474	-2.05263157894737
256	15	5.61538461538461	9.38461538461539
257	32	40.375	-8.375
258	62	63.0526315789474	-1.05263157894737
259	58	63.0526315789474	-5.05263157894737
260	36	40.375	-4.375
261	59	63.0526315789474	-4.05263157894737
262	68	63.0526315789474	4.94736842105263
263	21	25.75	-4.75
264	55	58.1111111111111	-3.11111111111111
265	54	49.95	4.05
266	55	49.95	5.05
267	72	70	2
268	41	40.375	0.625
269	61	63.0526315789474	-2.05263157894737
270	67	76.0952380952381	-9.0952380952381
271	76	76.0952380952381	-0.095238095238102
272	64	63.0526315789474	0.94736842105263
273	3	5.61538461538461	-2.61538461538461
274	63	63.0526315789474	-0.0526315789473699
275	40	40.375	-0.375
276	69	76.0952380952381	-7.0952380952381
277	48	40.375	7.625
278	8	5.61538461538461	2.38461538461539
279	52	49.95	2.05
280	66	63.0526315789474	2.94736842105263
281	76	76.0952380952381	-0.095238095238102
282	43	49.95	-6.95
283	39	40.375	-1.375
284	14	5.61538461538461	8.38461538461539
285	61	63.0526315789474	-2.05263157894737
286	71	76.0952380952381	-5.0952380952381
287	44	40.375	3.625
288	60	58.1111111111111	1.88888888888889
289	64	63.0526315789474	0.94736842105263

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 115 & 111.588235294118 & 3.41176470588235 \tabularnewline
2 & 109 & 106.133333333333 & 2.86666666666666 \tabularnewline
3 & 146 & 141.407407407407 & 4.59259259259258 \tabularnewline
4 & 116 & 111.588235294118 & 4.41176470588235 \tabularnewline
5 & 68 & 85.2608695652174 & -17.2608695652174 \tabularnewline
6 & 101 & 95 & 6 \tabularnewline
7 & 96 & 95 & 1 \tabularnewline
8 & 67 & 70 & -3 \tabularnewline
9 & 44 & 40.375 & 3.625 \tabularnewline
10 & 100 & 95 & 5 \tabularnewline
11 & 93 & 95 & -2 \tabularnewline
12 & 140 & 141.407407407407 & -1.40740740740742 \tabularnewline
13 & 166 & 165.285714285714 & 0.714285714285722 \tabularnewline
14 & 99 & 111.588235294118 & -12.5882352941177 \tabularnewline
15 & 139 & 141.407407407407 & -2.40740740740742 \tabularnewline
16 & 130 & 121.976744186047 & 8.02325581395348 \tabularnewline
17 & 181 & 165.285714285714 & 15.7142857142857 \tabularnewline
18 & 116 & 111.588235294118 & 4.41176470588235 \tabularnewline
19 & 116 & 121.976744186047 & -5.97674418604652 \tabularnewline
20 & 88 & 85.2608695652174 & 2.73913043478261 \tabularnewline
21 & 139 & 141.407407407407 & -2.40740740740742 \tabularnewline
22 & 135 & 141.407407407407 & -6.40740740740742 \tabularnewline
23 & 108 & 111.588235294118 & -3.58823529411765 \tabularnewline
24 & 89 & 95 & -6 \tabularnewline
25 & 156 & 141.407407407407 & 14.5925925925926 \tabularnewline
26 & 129 & 121.976744186047 & 7.02325581395348 \tabularnewline
27 & 118 & 121.976744186047 & -3.97674418604652 \tabularnewline
28 & 118 & 121.976744186047 & -3.97674418604652 \tabularnewline
29 & 125 & 121.976744186047 & 3.02325581395348 \tabularnewline
30 & 95 & 95 & 0 \tabularnewline
31 & 126 & 121.976744186047 & 4.02325581395348 \tabularnewline
32 & 135 & 121.976744186047 & 13.0232558139535 \tabularnewline
33 & 154 & 165.285714285714 & -11.2857142857143 \tabularnewline
34 & 165 & 165.285714285714 & -0.285714285714278 \tabularnewline
35 & 113 & 111.588235294118 & 1.41176470588235 \tabularnewline
36 & 127 & 121.976744186047 & 5.02325581395348 \tabularnewline
37 & 52 & 49.95 & 2.05 \tabularnewline
38 & 121 & 121.976744186047 & -0.976744186046517 \tabularnewline
39 & 136 & 141.407407407407 & -5.40740740740742 \tabularnewline
40 & 0 & 5.61538461538461 & -5.61538461538461 \tabularnewline
41 & 108 & 106.133333333333 & 1.86666666666666 \tabularnewline
42 & 46 & 49.95 & -3.95 \tabularnewline
43 & 54 & 63.0526315789474 & -9.05263157894737 \tabularnewline
44 & 124 & 121.976744186047 & 2.02325581395348 \tabularnewline
45 & 115 & 111.588235294118 & 3.41176470588235 \tabularnewline
46 & 128 & 121.976744186047 & 6.02325581395348 \tabularnewline
47 & 80 & 76.0952380952381 & 3.9047619047619 \tabularnewline
48 & 97 & 106.133333333333 & -9.13333333333334 \tabularnewline
49 & 104 & 106.133333333333 & -2.13333333333334 \tabularnewline
50 & 59 & 141.407407407407 & -82.4074074074074 \tabularnewline
51 & 125 & 121.976744186047 & 3.02325581395348 \tabularnewline
52 & 82 & 95 & -13 \tabularnewline
53 & 149 & 141.407407407407 & 7.59259259259258 \tabularnewline
54 & 149 & 141.407407407407 & 7.59259259259258 \tabularnewline
55 & 122 & 121.976744186047 & 0.0232558139534831 \tabularnewline
56 & 118 & 106.133333333333 & 11.8666666666667 \tabularnewline
57 & 12 & 5.61538461538461 & 6.38461538461539 \tabularnewline
58 & 144 & 141.407407407407 & 2.59259259259258 \tabularnewline
59 & 67 & 70 & -3 \tabularnewline
60 & 52 & 49.95 & 2.05 \tabularnewline
61 & 108 & 111.588235294118 & -3.58823529411765 \tabularnewline
62 & 166 & 165.285714285714 & 0.714285714285722 \tabularnewline
63 & 80 & 76.0952380952381 & 3.9047619047619 \tabularnewline
64 & 60 & 63.0526315789474 & -3.05263157894737 \tabularnewline
65 & 107 & 106.133333333333 & 0.86666666666666 \tabularnewline
66 & 127 & 121.976744186047 & 5.02325581395348 \tabularnewline
67 & 107 & 106.133333333333 & 0.86666666666666 \tabularnewline
68 & 146 & 141.407407407407 & 4.59259259259258 \tabularnewline
69 & 84 & 85.2608695652174 & -1.26086956521739 \tabularnewline
70 & 141 & 141.407407407407 & -0.407407407407419 \tabularnewline
71 & 123 & 121.976744186047 & 1.02325581395348 \tabularnewline
72 & 111 & 111.588235294118 & -0.588235294117652 \tabularnewline
73 & 98 & 95 & 3 \tabularnewline
74 & 105 & 106.133333333333 & -1.13333333333334 \tabularnewline
75 & 135 & 141.407407407407 & -6.40740740740742 \tabularnewline
76 & 107 & 106.133333333333 & 0.86666666666666 \tabularnewline
77 & 85 & 85.2608695652174 & -0.260869565217391 \tabularnewline
78 & 155 & 141.407407407407 & 13.5925925925926 \tabularnewline
79 & 88 & 85.2608695652174 & 2.73913043478261 \tabularnewline
80 & 155 & 141.407407407407 & 13.5925925925926 \tabularnewline
81 & 104 & 106.133333333333 & -2.13333333333334 \tabularnewline
82 & 132 & 121.976744186047 & 10.0232558139535 \tabularnewline
83 & 127 & 121.976744186047 & 5.02325581395348 \tabularnewline
84 & 108 & 106.133333333333 & 1.86666666666666 \tabularnewline
85 & 129 & 121.976744186047 & 7.02325581395348 \tabularnewline
86 & 116 & 111.588235294118 & 4.41176470588235 \tabularnewline
87 & 122 & 121.976744186047 & 0.0232558139534831 \tabularnewline
88 & 85 & 85.2608695652174 & -0.260869565217391 \tabularnewline
89 & 147 & 141.407407407407 & 5.59259259259258 \tabularnewline
90 & 99 & 95 & 4 \tabularnewline
91 & 87 & 121.976744186047 & -34.9767441860465 \tabularnewline
92 & 28 & 25.75 & 2.25 \tabularnewline
93 & 90 & 85.2608695652174 & 4.73913043478261 \tabularnewline
94 & 109 & 111.588235294118 & -2.58823529411765 \tabularnewline
95 & 78 & 76.0952380952381 & 1.9047619047619 \tabularnewline
96 & 111 & 111.588235294118 & -0.588235294117652 \tabularnewline
97 & 158 & 165.285714285714 & -7.28571428571428 \tabularnewline
98 & 141 & 141.407407407407 & -0.407407407407419 \tabularnewline
99 & 122 & 121.976744186047 & 0.0232558139534831 \tabularnewline
100 & 124 & 121.976744186047 & 2.02325581395348 \tabularnewline
101 & 93 & 95 & -2 \tabularnewline
102 & 124 & 121.976744186047 & 2.02325581395348 \tabularnewline
103 & 112 & 111.588235294118 & 0.411764705882348 \tabularnewline
104 & 108 & 106.133333333333 & 1.86666666666666 \tabularnewline
105 & 99 & 106.133333333333 & -7.13333333333334 \tabularnewline
106 & 117 & 121.976744186047 & -4.97674418604652 \tabularnewline
107 & 199 & 165.285714285714 & 33.7142857142857 \tabularnewline
108 & 78 & 76.0952380952381 & 1.9047619047619 \tabularnewline
109 & 91 & 85.2608695652174 & 5.73913043478261 \tabularnewline
110 & 158 & 165.285714285714 & -7.28571428571428 \tabularnewline
111 & 126 & 121.976744186047 & 4.02325581395348 \tabularnewline
112 & 122 & 121.976744186047 & 0.0232558139534831 \tabularnewline
113 & 71 & 76.0952380952381 & -5.0952380952381 \tabularnewline
114 & 75 & 76.0952380952381 & -1.0952380952381 \tabularnewline
115 & 115 & 121.976744186047 & -6.97674418604652 \tabularnewline
116 & 119 & 121.976744186047 & -2.97674418604652 \tabularnewline
117 & 124 & 121.976744186047 & 2.02325581395348 \tabularnewline
118 & 72 & 70 & 2 \tabularnewline
119 & 91 & 85.2608695652174 & 5.73913043478261 \tabularnewline
120 & 45 & 63.0526315789474 & -18.0526315789474 \tabularnewline
121 & 78 & 76.0952380952381 & 1.9047619047619 \tabularnewline
122 & 39 & 40.375 & -1.375 \tabularnewline
123 & 68 & 63.0526315789474 & 4.94736842105263 \tabularnewline
124 & 119 & 111.588235294118 & 7.41176470588235 \tabularnewline
125 & 117 & 121.976744186047 & -4.97674418604652 \tabularnewline
126 & 39 & 40.375 & -1.375 \tabularnewline
127 & 50 & 49.95 & 0.0499999999999972 \tabularnewline
128 & 88 & 85.2608695652174 & 2.73913043478261 \tabularnewline
129 & 155 & 165.285714285714 & -10.2857142857143 \tabularnewline
130 & 0 & 5.61538461538461 & -5.61538461538461 \tabularnewline
131 & 36 & 40.375 & -4.375 \tabularnewline
132 & 123 & 121.976744186047 & 1.02325581395348 \tabularnewline
133 & 32 & 40.375 & -8.375 \tabularnewline
134 & 99 & 95 & 4 \tabularnewline
135 & 136 & 141.407407407407 & -5.40740740740742 \tabularnewline
136 & 117 & 121.976744186047 & -4.97674418604652 \tabularnewline
137 & 0 & 5.61538461538461 & -5.61538461538461 \tabularnewline
138 & 88 & 85.2608695652174 & 2.73913043478261 \tabularnewline
139 & 39 & 49.95 & -10.95 \tabularnewline
140 & 25 & 25.75 & -0.75 \tabularnewline
141 & 52 & 49.95 & 2.05 \tabularnewline
142 & 75 & 76.0952380952381 & -1.0952380952381 \tabularnewline
143 & 71 & 70 & 1 \tabularnewline
144 & 124 & 121.976744186047 & 2.02325581395348 \tabularnewline
145 & 151 & 141.407407407407 & 9.59259259259258 \tabularnewline
146 & 71 & 85.2608695652174 & -14.2608695652174 \tabularnewline
147 & 145 & 141.407407407407 & 3.59259259259258 \tabularnewline
148 & 87 & 85.2608695652174 & 1.73913043478261 \tabularnewline
149 & 27 & 25.75 & 1.25 \tabularnewline
150 & 131 & 121.976744186047 & 9.02325581395348 \tabularnewline
151 & 162 & 165.285714285714 & -3.28571428571428 \tabularnewline
152 & 165 & 165.285714285714 & -0.285714285714278 \tabularnewline
153 & 54 & 49.95 & 4.05 \tabularnewline
154 & 159 & 165.285714285714 & -6.28571428571428 \tabularnewline
155 & 147 & 141.407407407407 & 5.59259259259258 \tabularnewline
156 & 170 & 165.285714285714 & 4.71428571428572 \tabularnewline
157 & 119 & 121.976744186047 & -2.97674418604652 \tabularnewline
158 & 49 & 49.95 & -0.950000000000003 \tabularnewline
159 & 104 & 106.133333333333 & -2.13333333333334 \tabularnewline
160 & 120 & 121.976744186047 & -1.97674418604652 \tabularnewline
161 & 150 & 141.407407407407 & 8.59259259259258 \tabularnewline
162 & 112 & 111.588235294118 & 0.411764705882348 \tabularnewline
163 & 59 & 63.0526315789474 & -4.05263157894737 \tabularnewline
164 & 136 & 141.407407407407 & -5.40740740740742 \tabularnewline
165 & 107 & 111.588235294118 & -4.58823529411765 \tabularnewline
166 & 130 & 121.976744186047 & 8.02325581395348 \tabularnewline
167 & 115 & 121.976744186047 & -6.97674418604652 \tabularnewline
168 & 107 & 106.133333333333 & 0.86666666666666 \tabularnewline
169 & 75 & 76.0952380952381 & -1.0952380952381 \tabularnewline
170 & 71 & 70 & 1 \tabularnewline
171 & 120 & 121.976744186047 & -1.97674418604652 \tabularnewline
172 & 116 & 121.976744186047 & -5.97674418604652 \tabularnewline
173 & 79 & 76.0952380952381 & 2.9047619047619 \tabularnewline
174 & 150 & 141.407407407407 & 8.59259259259258 \tabularnewline
175 & 156 & 165.285714285714 & -9.28571428571428 \tabularnewline
176 & 51 & 49.95 & 1.05 \tabularnewline
177 & 118 & 121.976744186047 & -3.97674418604652 \tabularnewline
178 & 71 & 70 & 1 \tabularnewline
179 & 144 & 141.407407407407 & 2.59259259259258 \tabularnewline
180 & 47 & 49.95 & -2.95 \tabularnewline
181 & 28 & 25.75 & 2.25 \tabularnewline
182 & 68 & 63.0526315789474 & 4.94736842105263 \tabularnewline
183 & 0 & 5.61538461538461 & -5.61538461538461 \tabularnewline
184 & 110 & 111.588235294118 & -1.58823529411765 \tabularnewline
185 & 147 & 141.407407407407 & 5.59259259259258 \tabularnewline
186 & 0 & 5.61538461538461 & -5.61538461538461 \tabularnewline
187 & 15 & 5.61538461538461 & 9.38461538461539 \tabularnewline
188 & 4 & 5.61538461538461 & -1.61538461538461 \tabularnewline
189 & 64 & 63.0526315789474 & 0.94736842105263 \tabularnewline
190 & 111 & 121.976744186047 & -10.9767441860465 \tabularnewline
191 & 85 & 85.2608695652174 & -0.260869565217391 \tabularnewline
192 & 68 & 63.0526315789474 & 4.94736842105263 \tabularnewline
193 & 40 & 40.375 & -0.375 \tabularnewline
194 & 80 & 85.2608695652174 & -5.26086956521739 \tabularnewline
195 & 88 & 85.2608695652174 & 2.73913043478261 \tabularnewline
196 & 48 & 40.375 & 7.625 \tabularnewline
197 & 76 & 76.0952380952381 & -0.095238095238102 \tabularnewline
198 & 51 & 49.95 & 1.05 \tabularnewline
199 & 67 & 63.0526315789474 & 3.94736842105263 \tabularnewline
200 & 59 & 58.1111111111111 & 0.888888888888886 \tabularnewline
201 & 61 & 63.0526315789474 & -2.05263157894737 \tabularnewline
202 & 76 & 85.2608695652174 & -9.26086956521739 \tabularnewline
203 & 60 & 58.1111111111111 & 1.88888888888889 \tabularnewline
204 & 68 & 63.0526315789474 & 4.94736842105263 \tabularnewline
205 & 71 & 70 & 1 \tabularnewline
206 & 76 & 76.0952380952381 & -0.095238095238102 \tabularnewline
207 & 62 & 63.0526315789474 & -1.05263157894737 \tabularnewline
208 & 61 & 63.0526315789474 & -2.05263157894737 \tabularnewline
209 & 67 & 70 & -3 \tabularnewline
210 & 88 & 85.2608695652174 & 2.73913043478261 \tabularnewline
211 & 30 & 25.75 & 4.25 \tabularnewline
212 & 64 & 63.0526315789474 & 0.94736842105263 \tabularnewline
213 & 68 & 70 & -2 \tabularnewline
214 & 64 & 63.0526315789474 & 0.94736842105263 \tabularnewline
215 & 91 & 85.2608695652174 & 5.73913043478261 \tabularnewline
216 & 88 & 85.2608695652174 & 2.73913043478261 \tabularnewline
217 & 52 & 49.95 & 2.05 \tabularnewline
218 & 49 & 49.95 & -0.950000000000003 \tabularnewline
219 & 62 & 63.0526315789474 & -1.05263157894737 \tabularnewline
220 & 61 & 63.0526315789474 & -2.05263157894737 \tabularnewline
221 & 76 & 76.0952380952381 & -0.095238095238102 \tabularnewline
222 & 88 & 85.2608695652174 & 2.73913043478261 \tabularnewline
223 & 66 & 63.0526315789474 & 2.94736842105263 \tabularnewline
224 & 71 & 70 & 1 \tabularnewline
225 & 68 & 63.0526315789474 & 4.94736842105263 \tabularnewline
226 & 48 & 40.375 & 7.625 \tabularnewline
227 & 25 & 25.75 & -0.75 \tabularnewline
228 & 68 & 63.0526315789474 & 4.94736842105263 \tabularnewline
229 & 41 & 49.95 & -8.95 \tabularnewline
230 & 90 & 85.2608695652174 & 4.73913043478261 \tabularnewline
231 & 66 & 63.0526315789474 & 2.94736842105263 \tabularnewline
232 & 54 & 49.95 & 4.05 \tabularnewline
233 & 59 & 58.1111111111111 & 0.888888888888886 \tabularnewline
234 & 60 & 63.0526315789474 & -3.05263157894737 \tabularnewline
235 & 77 & 76.0952380952381 & 0.904761904761898 \tabularnewline
236 & 68 & 70 & -2 \tabularnewline
237 & 72 & 70 & 2 \tabularnewline
238 & 67 & 63.0526315789474 & 3.94736842105263 \tabularnewline
239 & 64 & 63.0526315789474 & 0.94736842105263 \tabularnewline
240 & 63 & 63.0526315789474 & -0.0526315789473699 \tabularnewline
241 & 59 & 58.1111111111111 & 0.888888888888886 \tabularnewline
242 & 84 & 76.0952380952381 & 7.9047619047619 \tabularnewline
243 & 64 & 63.0526315789474 & 0.94736842105263 \tabularnewline
244 & 56 & 49.95 & 6.05 \tabularnewline
245 & 54 & 58.1111111111111 & -4.11111111111111 \tabularnewline
246 & 67 & 63.0526315789474 & 3.94736842105263 \tabularnewline
247 & 58 & 58.1111111111111 & -0.111111111111114 \tabularnewline
248 & 59 & 58.1111111111111 & 0.888888888888886 \tabularnewline
249 & 40 & 40.375 & -0.375 \tabularnewline
250 & 22 & 25.75 & -3.75 \tabularnewline
251 & 83 & 85.2608695652174 & -2.26086956521739 \tabularnewline
252 & 81 & 76.0952380952381 & 4.9047619047619 \tabularnewline
253 & 2 & 5.61538461538461 & -3.61538461538461 \tabularnewline
254 & 72 & 70 & 2 \tabularnewline
255 & 61 & 63.0526315789474 & -2.05263157894737 \tabularnewline
256 & 15 & 5.61538461538461 & 9.38461538461539 \tabularnewline
257 & 32 & 40.375 & -8.375 \tabularnewline
258 & 62 & 63.0526315789474 & -1.05263157894737 \tabularnewline
259 & 58 & 63.0526315789474 & -5.05263157894737 \tabularnewline
260 & 36 & 40.375 & -4.375 \tabularnewline
261 & 59 & 63.0526315789474 & -4.05263157894737 \tabularnewline
262 & 68 & 63.0526315789474 & 4.94736842105263 \tabularnewline
263 & 21 & 25.75 & -4.75 \tabularnewline
264 & 55 & 58.1111111111111 & -3.11111111111111 \tabularnewline
265 & 54 & 49.95 & 4.05 \tabularnewline
266 & 55 & 49.95 & 5.05 \tabularnewline
267 & 72 & 70 & 2 \tabularnewline
268 & 41 & 40.375 & 0.625 \tabularnewline
269 & 61 & 63.0526315789474 & -2.05263157894737 \tabularnewline
270 & 67 & 76.0952380952381 & -9.0952380952381 \tabularnewline
271 & 76 & 76.0952380952381 & -0.095238095238102 \tabularnewline
272 & 64 & 63.0526315789474 & 0.94736842105263 \tabularnewline
273 & 3 & 5.61538461538461 & -2.61538461538461 \tabularnewline
274 & 63 & 63.0526315789474 & -0.0526315789473699 \tabularnewline
275 & 40 & 40.375 & -0.375 \tabularnewline
276 & 69 & 76.0952380952381 & -7.0952380952381 \tabularnewline
277 & 48 & 40.375 & 7.625 \tabularnewline
278 & 8 & 5.61538461538461 & 2.38461538461539 \tabularnewline
279 & 52 & 49.95 & 2.05 \tabularnewline
280 & 66 & 63.0526315789474 & 2.94736842105263 \tabularnewline
281 & 76 & 76.0952380952381 & -0.095238095238102 \tabularnewline
282 & 43 & 49.95 & -6.95 \tabularnewline
283 & 39 & 40.375 & -1.375 \tabularnewline
284 & 14 & 5.61538461538461 & 8.38461538461539 \tabularnewline
285 & 61 & 63.0526315789474 & -2.05263157894737 \tabularnewline
286 & 71 & 76.0952380952381 & -5.0952380952381 \tabularnewline
287 & 44 & 40.375 & 3.625 \tabularnewline
288 & 60 & 58.1111111111111 & 1.88888888888889 \tabularnewline
289 & 64 & 63.0526315789474 & 0.94736842105263 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159814&T=2

[TABLE]
[ROW][C]Actuals, Predictions, and Residuals[/C][/ROW]
[ROW][C]#[/C][C]Actuals[/C][C]Forecasts[/C][C]Residuals[/C][/ROW]
[ROW][C]1[/C][C]115[/C][C]111.588235294118[/C][C]3.41176470588235[/C][/ROW]
[ROW][C]2[/C][C]109[/C][C]106.133333333333[/C][C]2.86666666666666[/C][/ROW]
[ROW][C]3[/C][C]146[/C][C]141.407407407407[/C][C]4.59259259259258[/C][/ROW]
[ROW][C]4[/C][C]116[/C][C]111.588235294118[/C][C]4.41176470588235[/C][/ROW]
[ROW][C]5[/C][C]68[/C][C]85.2608695652174[/C][C]-17.2608695652174[/C][/ROW]
[ROW][C]6[/C][C]101[/C][C]95[/C][C]6[/C][/ROW]
[ROW][C]7[/C][C]96[/C][C]95[/C][C]1[/C][/ROW]
[ROW][C]8[/C][C]67[/C][C]70[/C][C]-3[/C][/ROW]
[ROW][C]9[/C][C]44[/C][C]40.375[/C][C]3.625[/C][/ROW]
[ROW][C]10[/C][C]100[/C][C]95[/C][C]5[/C][/ROW]
[ROW][C]11[/C][C]93[/C][C]95[/C][C]-2[/C][/ROW]
[ROW][C]12[/C][C]140[/C][C]141.407407407407[/C][C]-1.40740740740742[/C][/ROW]
[ROW][C]13[/C][C]166[/C][C]165.285714285714[/C][C]0.714285714285722[/C][/ROW]
[ROW][C]14[/C][C]99[/C][C]111.588235294118[/C][C]-12.5882352941177[/C][/ROW]
[ROW][C]15[/C][C]139[/C][C]141.407407407407[/C][C]-2.40740740740742[/C][/ROW]
[ROW][C]16[/C][C]130[/C][C]121.976744186047[/C][C]8.02325581395348[/C][/ROW]
[ROW][C]17[/C][C]181[/C][C]165.285714285714[/C][C]15.7142857142857[/C][/ROW]
[ROW][C]18[/C][C]116[/C][C]111.588235294118[/C][C]4.41176470588235[/C][/ROW]
[ROW][C]19[/C][C]116[/C][C]121.976744186047[/C][C]-5.97674418604652[/C][/ROW]
[ROW][C]20[/C][C]88[/C][C]85.2608695652174[/C][C]2.73913043478261[/C][/ROW]
[ROW][C]21[/C][C]139[/C][C]141.407407407407[/C][C]-2.40740740740742[/C][/ROW]
[ROW][C]22[/C][C]135[/C][C]141.407407407407[/C][C]-6.40740740740742[/C][/ROW]
[ROW][C]23[/C][C]108[/C][C]111.588235294118[/C][C]-3.58823529411765[/C][/ROW]
[ROW][C]24[/C][C]89[/C][C]95[/C][C]-6[/C][/ROW]
[ROW][C]25[/C][C]156[/C][C]141.407407407407[/C][C]14.5925925925926[/C][/ROW]
[ROW][C]26[/C][C]129[/C][C]121.976744186047[/C][C]7.02325581395348[/C][/ROW]
[ROW][C]27[/C][C]118[/C][C]121.976744186047[/C][C]-3.97674418604652[/C][/ROW]
[ROW][C]28[/C][C]118[/C][C]121.976744186047[/C][C]-3.97674418604652[/C][/ROW]
[ROW][C]29[/C][C]125[/C][C]121.976744186047[/C][C]3.02325581395348[/C][/ROW]
[ROW][C]30[/C][C]95[/C][C]95[/C][C]0[/C][/ROW]
[ROW][C]31[/C][C]126[/C][C]121.976744186047[/C][C]4.02325581395348[/C][/ROW]
[ROW][C]32[/C][C]135[/C][C]121.976744186047[/C][C]13.0232558139535[/C][/ROW]
[ROW][C]33[/C][C]154[/C][C]165.285714285714[/C][C]-11.2857142857143[/C][/ROW]
[ROW][C]34[/C][C]165[/C][C]165.285714285714[/C][C]-0.285714285714278[/C][/ROW]
[ROW][C]35[/C][C]113[/C][C]111.588235294118[/C][C]1.41176470588235[/C][/ROW]
[ROW][C]36[/C][C]127[/C][C]121.976744186047[/C][C]5.02325581395348[/C][/ROW]
[ROW][C]37[/C][C]52[/C][C]49.95[/C][C]2.05[/C][/ROW]
[ROW][C]38[/C][C]121[/C][C]121.976744186047[/C][C]-0.976744186046517[/C][/ROW]
[ROW][C]39[/C][C]136[/C][C]141.407407407407[/C][C]-5.40740740740742[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]5.61538461538461[/C][C]-5.61538461538461[/C][/ROW]
[ROW][C]41[/C][C]108[/C][C]106.133333333333[/C][C]1.86666666666666[/C][/ROW]
[ROW][C]42[/C][C]46[/C][C]49.95[/C][C]-3.95[/C][/ROW]
[ROW][C]43[/C][C]54[/C][C]63.0526315789474[/C][C]-9.05263157894737[/C][/ROW]
[ROW][C]44[/C][C]124[/C][C]121.976744186047[/C][C]2.02325581395348[/C][/ROW]
[ROW][C]45[/C][C]115[/C][C]111.588235294118[/C][C]3.41176470588235[/C][/ROW]
[ROW][C]46[/C][C]128[/C][C]121.976744186047[/C][C]6.02325581395348[/C][/ROW]
[ROW][C]47[/C][C]80[/C][C]76.0952380952381[/C][C]3.9047619047619[/C][/ROW]
[ROW][C]48[/C][C]97[/C][C]106.133333333333[/C][C]-9.13333333333334[/C][/ROW]
[ROW][C]49[/C][C]104[/C][C]106.133333333333[/C][C]-2.13333333333334[/C][/ROW]
[ROW][C]50[/C][C]59[/C][C]141.407407407407[/C][C]-82.4074074074074[/C][/ROW]
[ROW][C]51[/C][C]125[/C][C]121.976744186047[/C][C]3.02325581395348[/C][/ROW]
[ROW][C]52[/C][C]82[/C][C]95[/C][C]-13[/C][/ROW]
[ROW][C]53[/C][C]149[/C][C]141.407407407407[/C][C]7.59259259259258[/C][/ROW]
[ROW][C]54[/C][C]149[/C][C]141.407407407407[/C][C]7.59259259259258[/C][/ROW]
[ROW][C]55[/C][C]122[/C][C]121.976744186047[/C][C]0.0232558139534831[/C][/ROW]
[ROW][C]56[/C][C]118[/C][C]106.133333333333[/C][C]11.8666666666667[/C][/ROW]
[ROW][C]57[/C][C]12[/C][C]5.61538461538461[/C][C]6.38461538461539[/C][/ROW]
[ROW][C]58[/C][C]144[/C][C]141.407407407407[/C][C]2.59259259259258[/C][/ROW]
[ROW][C]59[/C][C]67[/C][C]70[/C][C]-3[/C][/ROW]
[ROW][C]60[/C][C]52[/C][C]49.95[/C][C]2.05[/C][/ROW]
[ROW][C]61[/C][C]108[/C][C]111.588235294118[/C][C]-3.58823529411765[/C][/ROW]
[ROW][C]62[/C][C]166[/C][C]165.285714285714[/C][C]0.714285714285722[/C][/ROW]
[ROW][C]63[/C][C]80[/C][C]76.0952380952381[/C][C]3.9047619047619[/C][/ROW]
[ROW][C]64[/C][C]60[/C][C]63.0526315789474[/C][C]-3.05263157894737[/C][/ROW]
[ROW][C]65[/C][C]107[/C][C]106.133333333333[/C][C]0.86666666666666[/C][/ROW]
[ROW][C]66[/C][C]127[/C][C]121.976744186047[/C][C]5.02325581395348[/C][/ROW]
[ROW][C]67[/C][C]107[/C][C]106.133333333333[/C][C]0.86666666666666[/C][/ROW]
[ROW][C]68[/C][C]146[/C][C]141.407407407407[/C][C]4.59259259259258[/C][/ROW]
[ROW][C]69[/C][C]84[/C][C]85.2608695652174[/C][C]-1.26086956521739[/C][/ROW]
[ROW][C]70[/C][C]141[/C][C]141.407407407407[/C][C]-0.407407407407419[/C][/ROW]
[ROW][C]71[/C][C]123[/C][C]121.976744186047[/C][C]1.02325581395348[/C][/ROW]
[ROW][C]72[/C][C]111[/C][C]111.588235294118[/C][C]-0.588235294117652[/C][/ROW]
[ROW][C]73[/C][C]98[/C][C]95[/C][C]3[/C][/ROW]
[ROW][C]74[/C][C]105[/C][C]106.133333333333[/C][C]-1.13333333333334[/C][/ROW]
[ROW][C]75[/C][C]135[/C][C]141.407407407407[/C][C]-6.40740740740742[/C][/ROW]
[ROW][C]76[/C][C]107[/C][C]106.133333333333[/C][C]0.86666666666666[/C][/ROW]
[ROW][C]77[/C][C]85[/C][C]85.2608695652174[/C][C]-0.260869565217391[/C][/ROW]
[ROW][C]78[/C][C]155[/C][C]141.407407407407[/C][C]13.5925925925926[/C][/ROW]
[ROW][C]79[/C][C]88[/C][C]85.2608695652174[/C][C]2.73913043478261[/C][/ROW]
[ROW][C]80[/C][C]155[/C][C]141.407407407407[/C][C]13.5925925925926[/C][/ROW]
[ROW][C]81[/C][C]104[/C][C]106.133333333333[/C][C]-2.13333333333334[/C][/ROW]
[ROW][C]82[/C][C]132[/C][C]121.976744186047[/C][C]10.0232558139535[/C][/ROW]
[ROW][C]83[/C][C]127[/C][C]121.976744186047[/C][C]5.02325581395348[/C][/ROW]
[ROW][C]84[/C][C]108[/C][C]106.133333333333[/C][C]1.86666666666666[/C][/ROW]
[ROW][C]85[/C][C]129[/C][C]121.976744186047[/C][C]7.02325581395348[/C][/ROW]
[ROW][C]86[/C][C]116[/C][C]111.588235294118[/C][C]4.41176470588235[/C][/ROW]
[ROW][C]87[/C][C]122[/C][C]121.976744186047[/C][C]0.0232558139534831[/C][/ROW]
[ROW][C]88[/C][C]85[/C][C]85.2608695652174[/C][C]-0.260869565217391[/C][/ROW]
[ROW][C]89[/C][C]147[/C][C]141.407407407407[/C][C]5.59259259259258[/C][/ROW]
[ROW][C]90[/C][C]99[/C][C]95[/C][C]4[/C][/ROW]
[ROW][C]91[/C][C]87[/C][C]121.976744186047[/C][C]-34.9767441860465[/C][/ROW]
[ROW][C]92[/C][C]28[/C][C]25.75[/C][C]2.25[/C][/ROW]
[ROW][C]93[/C][C]90[/C][C]85.2608695652174[/C][C]4.73913043478261[/C][/ROW]
[ROW][C]94[/C][C]109[/C][C]111.588235294118[/C][C]-2.58823529411765[/C][/ROW]
[ROW][C]95[/C][C]78[/C][C]76.0952380952381[/C][C]1.9047619047619[/C][/ROW]
[ROW][C]96[/C][C]111[/C][C]111.588235294118[/C][C]-0.588235294117652[/C][/ROW]
[ROW][C]97[/C][C]158[/C][C]165.285714285714[/C][C]-7.28571428571428[/C][/ROW]
[ROW][C]98[/C][C]141[/C][C]141.407407407407[/C][C]-0.407407407407419[/C][/ROW]
[ROW][C]99[/C][C]122[/C][C]121.976744186047[/C][C]0.0232558139534831[/C][/ROW]
[ROW][C]100[/C][C]124[/C][C]121.976744186047[/C][C]2.02325581395348[/C][/ROW]
[ROW][C]101[/C][C]93[/C][C]95[/C][C]-2[/C][/ROW]
[ROW][C]102[/C][C]124[/C][C]121.976744186047[/C][C]2.02325581395348[/C][/ROW]
[ROW][C]103[/C][C]112[/C][C]111.588235294118[/C][C]0.411764705882348[/C][/ROW]
[ROW][C]104[/C][C]108[/C][C]106.133333333333[/C][C]1.86666666666666[/C][/ROW]
[ROW][C]105[/C][C]99[/C][C]106.133333333333[/C][C]-7.13333333333334[/C][/ROW]
[ROW][C]106[/C][C]117[/C][C]121.976744186047[/C][C]-4.97674418604652[/C][/ROW]
[ROW][C]107[/C][C]199[/C][C]165.285714285714[/C][C]33.7142857142857[/C][/ROW]
[ROW][C]108[/C][C]78[/C][C]76.0952380952381[/C][C]1.9047619047619[/C][/ROW]
[ROW][C]109[/C][C]91[/C][C]85.2608695652174[/C][C]5.73913043478261[/C][/ROW]
[ROW][C]110[/C][C]158[/C][C]165.285714285714[/C][C]-7.28571428571428[/C][/ROW]
[ROW][C]111[/C][C]126[/C][C]121.976744186047[/C][C]4.02325581395348[/C][/ROW]
[ROW][C]112[/C][C]122[/C][C]121.976744186047[/C][C]0.0232558139534831[/C][/ROW]
[ROW][C]113[/C][C]71[/C][C]76.0952380952381[/C][C]-5.0952380952381[/C][/ROW]
[ROW][C]114[/C][C]75[/C][C]76.0952380952381[/C][C]-1.0952380952381[/C][/ROW]
[ROW][C]115[/C][C]115[/C][C]121.976744186047[/C][C]-6.97674418604652[/C][/ROW]
[ROW][C]116[/C][C]119[/C][C]121.976744186047[/C][C]-2.97674418604652[/C][/ROW]
[ROW][C]117[/C][C]124[/C][C]121.976744186047[/C][C]2.02325581395348[/C][/ROW]
[ROW][C]118[/C][C]72[/C][C]70[/C][C]2[/C][/ROW]
[ROW][C]119[/C][C]91[/C][C]85.2608695652174[/C][C]5.73913043478261[/C][/ROW]
[ROW][C]120[/C][C]45[/C][C]63.0526315789474[/C][C]-18.0526315789474[/C][/ROW]
[ROW][C]121[/C][C]78[/C][C]76.0952380952381[/C][C]1.9047619047619[/C][/ROW]
[ROW][C]122[/C][C]39[/C][C]40.375[/C][C]-1.375[/C][/ROW]
[ROW][C]123[/C][C]68[/C][C]63.0526315789474[/C][C]4.94736842105263[/C][/ROW]
[ROW][C]124[/C][C]119[/C][C]111.588235294118[/C][C]7.41176470588235[/C][/ROW]
[ROW][C]125[/C][C]117[/C][C]121.976744186047[/C][C]-4.97674418604652[/C][/ROW]
[ROW][C]126[/C][C]39[/C][C]40.375[/C][C]-1.375[/C][/ROW]
[ROW][C]127[/C][C]50[/C][C]49.95[/C][C]0.0499999999999972[/C][/ROW]
[ROW][C]128[/C][C]88[/C][C]85.2608695652174[/C][C]2.73913043478261[/C][/ROW]
[ROW][C]129[/C][C]155[/C][C]165.285714285714[/C][C]-10.2857142857143[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]5.61538461538461[/C][C]-5.61538461538461[/C][/ROW]
[ROW][C]131[/C][C]36[/C][C]40.375[/C][C]-4.375[/C][/ROW]
[ROW][C]132[/C][C]123[/C][C]121.976744186047[/C][C]1.02325581395348[/C][/ROW]
[ROW][C]133[/C][C]32[/C][C]40.375[/C][C]-8.375[/C][/ROW]
[ROW][C]134[/C][C]99[/C][C]95[/C][C]4[/C][/ROW]
[ROW][C]135[/C][C]136[/C][C]141.407407407407[/C][C]-5.40740740740742[/C][/ROW]
[ROW][C]136[/C][C]117[/C][C]121.976744186047[/C][C]-4.97674418604652[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]5.61538461538461[/C][C]-5.61538461538461[/C][/ROW]
[ROW][C]138[/C][C]88[/C][C]85.2608695652174[/C][C]2.73913043478261[/C][/ROW]
[ROW][C]139[/C][C]39[/C][C]49.95[/C][C]-10.95[/C][/ROW]
[ROW][C]140[/C][C]25[/C][C]25.75[/C][C]-0.75[/C][/ROW]
[ROW][C]141[/C][C]52[/C][C]49.95[/C][C]2.05[/C][/ROW]
[ROW][C]142[/C][C]75[/C][C]76.0952380952381[/C][C]-1.0952380952381[/C][/ROW]
[ROW][C]143[/C][C]71[/C][C]70[/C][C]1[/C][/ROW]
[ROW][C]144[/C][C]124[/C][C]121.976744186047[/C][C]2.02325581395348[/C][/ROW]
[ROW][C]145[/C][C]151[/C][C]141.407407407407[/C][C]9.59259259259258[/C][/ROW]
[ROW][C]146[/C][C]71[/C][C]85.2608695652174[/C][C]-14.2608695652174[/C][/ROW]
[ROW][C]147[/C][C]145[/C][C]141.407407407407[/C][C]3.59259259259258[/C][/ROW]
[ROW][C]148[/C][C]87[/C][C]85.2608695652174[/C][C]1.73913043478261[/C][/ROW]
[ROW][C]149[/C][C]27[/C][C]25.75[/C][C]1.25[/C][/ROW]
[ROW][C]150[/C][C]131[/C][C]121.976744186047[/C][C]9.02325581395348[/C][/ROW]
[ROW][C]151[/C][C]162[/C][C]165.285714285714[/C][C]-3.28571428571428[/C][/ROW]
[ROW][C]152[/C][C]165[/C][C]165.285714285714[/C][C]-0.285714285714278[/C][/ROW]
[ROW][C]153[/C][C]54[/C][C]49.95[/C][C]4.05[/C][/ROW]
[ROW][C]154[/C][C]159[/C][C]165.285714285714[/C][C]-6.28571428571428[/C][/ROW]
[ROW][C]155[/C][C]147[/C][C]141.407407407407[/C][C]5.59259259259258[/C][/ROW]
[ROW][C]156[/C][C]170[/C][C]165.285714285714[/C][C]4.71428571428572[/C][/ROW]
[ROW][C]157[/C][C]119[/C][C]121.976744186047[/C][C]-2.97674418604652[/C][/ROW]
[ROW][C]158[/C][C]49[/C][C]49.95[/C][C]-0.950000000000003[/C][/ROW]
[ROW][C]159[/C][C]104[/C][C]106.133333333333[/C][C]-2.13333333333334[/C][/ROW]
[ROW][C]160[/C][C]120[/C][C]121.976744186047[/C][C]-1.97674418604652[/C][/ROW]
[ROW][C]161[/C][C]150[/C][C]141.407407407407[/C][C]8.59259259259258[/C][/ROW]
[ROW][C]162[/C][C]112[/C][C]111.588235294118[/C][C]0.411764705882348[/C][/ROW]
[ROW][C]163[/C][C]59[/C][C]63.0526315789474[/C][C]-4.05263157894737[/C][/ROW]
[ROW][C]164[/C][C]136[/C][C]141.407407407407[/C][C]-5.40740740740742[/C][/ROW]
[ROW][C]165[/C][C]107[/C][C]111.588235294118[/C][C]-4.58823529411765[/C][/ROW]
[ROW][C]166[/C][C]130[/C][C]121.976744186047[/C][C]8.02325581395348[/C][/ROW]
[ROW][C]167[/C][C]115[/C][C]121.976744186047[/C][C]-6.97674418604652[/C][/ROW]
[ROW][C]168[/C][C]107[/C][C]106.133333333333[/C][C]0.86666666666666[/C][/ROW]
[ROW][C]169[/C][C]75[/C][C]76.0952380952381[/C][C]-1.0952380952381[/C][/ROW]
[ROW][C]170[/C][C]71[/C][C]70[/C][C]1[/C][/ROW]
[ROW][C]171[/C][C]120[/C][C]121.976744186047[/C][C]-1.97674418604652[/C][/ROW]
[ROW][C]172[/C][C]116[/C][C]121.976744186047[/C][C]-5.97674418604652[/C][/ROW]
[ROW][C]173[/C][C]79[/C][C]76.0952380952381[/C][C]2.9047619047619[/C][/ROW]
[ROW][C]174[/C][C]150[/C][C]141.407407407407[/C][C]8.59259259259258[/C][/ROW]
[ROW][C]175[/C][C]156[/C][C]165.285714285714[/C][C]-9.28571428571428[/C][/ROW]
[ROW][C]176[/C][C]51[/C][C]49.95[/C][C]1.05[/C][/ROW]
[ROW][C]177[/C][C]118[/C][C]121.976744186047[/C][C]-3.97674418604652[/C][/ROW]
[ROW][C]178[/C][C]71[/C][C]70[/C][C]1[/C][/ROW]
[ROW][C]179[/C][C]144[/C][C]141.407407407407[/C][C]2.59259259259258[/C][/ROW]
[ROW][C]180[/C][C]47[/C][C]49.95[/C][C]-2.95[/C][/ROW]
[ROW][C]181[/C][C]28[/C][C]25.75[/C][C]2.25[/C][/ROW]
[ROW][C]182[/C][C]68[/C][C]63.0526315789474[/C][C]4.94736842105263[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]5.61538461538461[/C][C]-5.61538461538461[/C][/ROW]
[ROW][C]184[/C][C]110[/C][C]111.588235294118[/C][C]-1.58823529411765[/C][/ROW]
[ROW][C]185[/C][C]147[/C][C]141.407407407407[/C][C]5.59259259259258[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]5.61538461538461[/C][C]-5.61538461538461[/C][/ROW]
[ROW][C]187[/C][C]15[/C][C]5.61538461538461[/C][C]9.38461538461539[/C][/ROW]
[ROW][C]188[/C][C]4[/C][C]5.61538461538461[/C][C]-1.61538461538461[/C][/ROW]
[ROW][C]189[/C][C]64[/C][C]63.0526315789474[/C][C]0.94736842105263[/C][/ROW]
[ROW][C]190[/C][C]111[/C][C]121.976744186047[/C][C]-10.9767441860465[/C][/ROW]
[ROW][C]191[/C][C]85[/C][C]85.2608695652174[/C][C]-0.260869565217391[/C][/ROW]
[ROW][C]192[/C][C]68[/C][C]63.0526315789474[/C][C]4.94736842105263[/C][/ROW]
[ROW][C]193[/C][C]40[/C][C]40.375[/C][C]-0.375[/C][/ROW]
[ROW][C]194[/C][C]80[/C][C]85.2608695652174[/C][C]-5.26086956521739[/C][/ROW]
[ROW][C]195[/C][C]88[/C][C]85.2608695652174[/C][C]2.73913043478261[/C][/ROW]
[ROW][C]196[/C][C]48[/C][C]40.375[/C][C]7.625[/C][/ROW]
[ROW][C]197[/C][C]76[/C][C]76.0952380952381[/C][C]-0.095238095238102[/C][/ROW]
[ROW][C]198[/C][C]51[/C][C]49.95[/C][C]1.05[/C][/ROW]
[ROW][C]199[/C][C]67[/C][C]63.0526315789474[/C][C]3.94736842105263[/C][/ROW]
[ROW][C]200[/C][C]59[/C][C]58.1111111111111[/C][C]0.888888888888886[/C][/ROW]
[ROW][C]201[/C][C]61[/C][C]63.0526315789474[/C][C]-2.05263157894737[/C][/ROW]
[ROW][C]202[/C][C]76[/C][C]85.2608695652174[/C][C]-9.26086956521739[/C][/ROW]
[ROW][C]203[/C][C]60[/C][C]58.1111111111111[/C][C]1.88888888888889[/C][/ROW]
[ROW][C]204[/C][C]68[/C][C]63.0526315789474[/C][C]4.94736842105263[/C][/ROW]
[ROW][C]205[/C][C]71[/C][C]70[/C][C]1[/C][/ROW]
[ROW][C]206[/C][C]76[/C][C]76.0952380952381[/C][C]-0.095238095238102[/C][/ROW]
[ROW][C]207[/C][C]62[/C][C]63.0526315789474[/C][C]-1.05263157894737[/C][/ROW]
[ROW][C]208[/C][C]61[/C][C]63.0526315789474[/C][C]-2.05263157894737[/C][/ROW]
[ROW][C]209[/C][C]67[/C][C]70[/C][C]-3[/C][/ROW]
[ROW][C]210[/C][C]88[/C][C]85.2608695652174[/C][C]2.73913043478261[/C][/ROW]
[ROW][C]211[/C][C]30[/C][C]25.75[/C][C]4.25[/C][/ROW]
[ROW][C]212[/C][C]64[/C][C]63.0526315789474[/C][C]0.94736842105263[/C][/ROW]
[ROW][C]213[/C][C]68[/C][C]70[/C][C]-2[/C][/ROW]
[ROW][C]214[/C][C]64[/C][C]63.0526315789474[/C][C]0.94736842105263[/C][/ROW]
[ROW][C]215[/C][C]91[/C][C]85.2608695652174[/C][C]5.73913043478261[/C][/ROW]
[ROW][C]216[/C][C]88[/C][C]85.2608695652174[/C][C]2.73913043478261[/C][/ROW]
[ROW][C]217[/C][C]52[/C][C]49.95[/C][C]2.05[/C][/ROW]
[ROW][C]218[/C][C]49[/C][C]49.95[/C][C]-0.950000000000003[/C][/ROW]
[ROW][C]219[/C][C]62[/C][C]63.0526315789474[/C][C]-1.05263157894737[/C][/ROW]
[ROW][C]220[/C][C]61[/C][C]63.0526315789474[/C][C]-2.05263157894737[/C][/ROW]
[ROW][C]221[/C][C]76[/C][C]76.0952380952381[/C][C]-0.095238095238102[/C][/ROW]
[ROW][C]222[/C][C]88[/C][C]85.2608695652174[/C][C]2.73913043478261[/C][/ROW]
[ROW][C]223[/C][C]66[/C][C]63.0526315789474[/C][C]2.94736842105263[/C][/ROW]
[ROW][C]224[/C][C]71[/C][C]70[/C][C]1[/C][/ROW]
[ROW][C]225[/C][C]68[/C][C]63.0526315789474[/C][C]4.94736842105263[/C][/ROW]
[ROW][C]226[/C][C]48[/C][C]40.375[/C][C]7.625[/C][/ROW]
[ROW][C]227[/C][C]25[/C][C]25.75[/C][C]-0.75[/C][/ROW]
[ROW][C]228[/C][C]68[/C][C]63.0526315789474[/C][C]4.94736842105263[/C][/ROW]
[ROW][C]229[/C][C]41[/C][C]49.95[/C][C]-8.95[/C][/ROW]
[ROW][C]230[/C][C]90[/C][C]85.2608695652174[/C][C]4.73913043478261[/C][/ROW]
[ROW][C]231[/C][C]66[/C][C]63.0526315789474[/C][C]2.94736842105263[/C][/ROW]
[ROW][C]232[/C][C]54[/C][C]49.95[/C][C]4.05[/C][/ROW]
[ROW][C]233[/C][C]59[/C][C]58.1111111111111[/C][C]0.888888888888886[/C][/ROW]
[ROW][C]234[/C][C]60[/C][C]63.0526315789474[/C][C]-3.05263157894737[/C][/ROW]
[ROW][C]235[/C][C]77[/C][C]76.0952380952381[/C][C]0.904761904761898[/C][/ROW]
[ROW][C]236[/C][C]68[/C][C]70[/C][C]-2[/C][/ROW]
[ROW][C]237[/C][C]72[/C][C]70[/C][C]2[/C][/ROW]
[ROW][C]238[/C][C]67[/C][C]63.0526315789474[/C][C]3.94736842105263[/C][/ROW]
[ROW][C]239[/C][C]64[/C][C]63.0526315789474[/C][C]0.94736842105263[/C][/ROW]
[ROW][C]240[/C][C]63[/C][C]63.0526315789474[/C][C]-0.0526315789473699[/C][/ROW]
[ROW][C]241[/C][C]59[/C][C]58.1111111111111[/C][C]0.888888888888886[/C][/ROW]
[ROW][C]242[/C][C]84[/C][C]76.0952380952381[/C][C]7.9047619047619[/C][/ROW]
[ROW][C]243[/C][C]64[/C][C]63.0526315789474[/C][C]0.94736842105263[/C][/ROW]
[ROW][C]244[/C][C]56[/C][C]49.95[/C][C]6.05[/C][/ROW]
[ROW][C]245[/C][C]54[/C][C]58.1111111111111[/C][C]-4.11111111111111[/C][/ROW]
[ROW][C]246[/C][C]67[/C][C]63.0526315789474[/C][C]3.94736842105263[/C][/ROW]
[ROW][C]247[/C][C]58[/C][C]58.1111111111111[/C][C]-0.111111111111114[/C][/ROW]
[ROW][C]248[/C][C]59[/C][C]58.1111111111111[/C][C]0.888888888888886[/C][/ROW]
[ROW][C]249[/C][C]40[/C][C]40.375[/C][C]-0.375[/C][/ROW]
[ROW][C]250[/C][C]22[/C][C]25.75[/C][C]-3.75[/C][/ROW]
[ROW][C]251[/C][C]83[/C][C]85.2608695652174[/C][C]-2.26086956521739[/C][/ROW]
[ROW][C]252[/C][C]81[/C][C]76.0952380952381[/C][C]4.9047619047619[/C][/ROW]
[ROW][C]253[/C][C]2[/C][C]5.61538461538461[/C][C]-3.61538461538461[/C][/ROW]
[ROW][C]254[/C][C]72[/C][C]70[/C][C]2[/C][/ROW]
[ROW][C]255[/C][C]61[/C][C]63.0526315789474[/C][C]-2.05263157894737[/C][/ROW]
[ROW][C]256[/C][C]15[/C][C]5.61538461538461[/C][C]9.38461538461539[/C][/ROW]
[ROW][C]257[/C][C]32[/C][C]40.375[/C][C]-8.375[/C][/ROW]
[ROW][C]258[/C][C]62[/C][C]63.0526315789474[/C][C]-1.05263157894737[/C][/ROW]
[ROW][C]259[/C][C]58[/C][C]63.0526315789474[/C][C]-5.05263157894737[/C][/ROW]
[ROW][C]260[/C][C]36[/C][C]40.375[/C][C]-4.375[/C][/ROW]
[ROW][C]261[/C][C]59[/C][C]63.0526315789474[/C][C]-4.05263157894737[/C][/ROW]
[ROW][C]262[/C][C]68[/C][C]63.0526315789474[/C][C]4.94736842105263[/C][/ROW]
[ROW][C]263[/C][C]21[/C][C]25.75[/C][C]-4.75[/C][/ROW]
[ROW][C]264[/C][C]55[/C][C]58.1111111111111[/C][C]-3.11111111111111[/C][/ROW]
[ROW][C]265[/C][C]54[/C][C]49.95[/C][C]4.05[/C][/ROW]
[ROW][C]266[/C][C]55[/C][C]49.95[/C][C]5.05[/C][/ROW]
[ROW][C]267[/C][C]72[/C][C]70[/C][C]2[/C][/ROW]
[ROW][C]268[/C][C]41[/C][C]40.375[/C][C]0.625[/C][/ROW]
[ROW][C]269[/C][C]61[/C][C]63.0526315789474[/C][C]-2.05263157894737[/C][/ROW]
[ROW][C]270[/C][C]67[/C][C]76.0952380952381[/C][C]-9.0952380952381[/C][/ROW]
[ROW][C]271[/C][C]76[/C][C]76.0952380952381[/C][C]-0.095238095238102[/C][/ROW]
[ROW][C]272[/C][C]64[/C][C]63.0526315789474[/C][C]0.94736842105263[/C][/ROW]
[ROW][C]273[/C][C]3[/C][C]5.61538461538461[/C][C]-2.61538461538461[/C][/ROW]
[ROW][C]274[/C][C]63[/C][C]63.0526315789474[/C][C]-0.0526315789473699[/C][/ROW]
[ROW][C]275[/C][C]40[/C][C]40.375[/C][C]-0.375[/C][/ROW]
[ROW][C]276[/C][C]69[/C][C]76.0952380952381[/C][C]-7.0952380952381[/C][/ROW]
[ROW][C]277[/C][C]48[/C][C]40.375[/C][C]7.625[/C][/ROW]
[ROW][C]278[/C][C]8[/C][C]5.61538461538461[/C][C]2.38461538461539[/C][/ROW]
[ROW][C]279[/C][C]52[/C][C]49.95[/C][C]2.05[/C][/ROW]
[ROW][C]280[/C][C]66[/C][C]63.0526315789474[/C][C]2.94736842105263[/C][/ROW]
[ROW][C]281[/C][C]76[/C][C]76.0952380952381[/C][C]-0.095238095238102[/C][/ROW]
[ROW][C]282[/C][C]43[/C][C]49.95[/C][C]-6.95[/C][/ROW]
[ROW][C]283[/C][C]39[/C][C]40.375[/C][C]-1.375[/C][/ROW]
[ROW][C]284[/C][C]14[/C][C]5.61538461538461[/C][C]8.38461538461539[/C][/ROW]
[ROW][C]285[/C][C]61[/C][C]63.0526315789474[/C][C]-2.05263157894737[/C][/ROW]
[ROW][C]286[/C][C]71[/C][C]76.0952380952381[/C][C]-5.0952380952381[/C][/ROW]
[ROW][C]287[/C][C]44[/C][C]40.375[/C][C]3.625[/C][/ROW]
[ROW][C]288[/C][C]60[/C][C]58.1111111111111[/C][C]1.88888888888889[/C][/ROW]
[ROW][C]289[/C][C]64[/C][C]63.0526315789474[/C][C]0.94736842105263[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159814&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159814&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	115	111.588235294118	3.41176470588235
2	109	106.133333333333	2.86666666666666
3	146	141.407407407407	4.59259259259258
4	116	111.588235294118	4.41176470588235
5	68	85.2608695652174	-17.2608695652174
6	101	95	6
7	96	95	1
8	67	70	-3
9	44	40.375	3.625
10	100	95	5
11	93	95	-2
12	140	141.407407407407	-1.40740740740742
13	166	165.285714285714	0.714285714285722
14	99	111.588235294118	-12.5882352941177
15	139	141.407407407407	-2.40740740740742
16	130	121.976744186047	8.02325581395348
17	181	165.285714285714	15.7142857142857
18	116	111.588235294118	4.41176470588235
19	116	121.976744186047	-5.97674418604652
20	88	85.2608695652174	2.73913043478261
21	139	141.407407407407	-2.40740740740742
22	135	141.407407407407	-6.40740740740742
23	108	111.588235294118	-3.58823529411765
24	89	95	-6
25	156	141.407407407407	14.5925925925926
26	129	121.976744186047	7.02325581395348
27	118	121.976744186047	-3.97674418604652
28	118	121.976744186047	-3.97674418604652
29	125	121.976744186047	3.02325581395348
30	95	95	0
31	126	121.976744186047	4.02325581395348
32	135	121.976744186047	13.0232558139535
33	154	165.285714285714	-11.2857142857143
34	165	165.285714285714	-0.285714285714278
35	113	111.588235294118	1.41176470588235
36	127	121.976744186047	5.02325581395348
37	52	49.95	2.05
38	121	121.976744186047	-0.976744186046517
39	136	141.407407407407	-5.40740740740742
40	0	5.61538461538461	-5.61538461538461
41	108	106.133333333333	1.86666666666666
42	46	49.95	-3.95
43	54	63.0526315789474	-9.05263157894737
44	124	121.976744186047	2.02325581395348
45	115	111.588235294118	3.41176470588235
46	128	121.976744186047	6.02325581395348
47	80	76.0952380952381	3.9047619047619
48	97	106.133333333333	-9.13333333333334
49	104	106.133333333333	-2.13333333333334
50	59	141.407407407407	-82.4074074074074
51	125	121.976744186047	3.02325581395348
52	82	95	-13
53	149	141.407407407407	7.59259259259258
54	149	141.407407407407	7.59259259259258
55	122	121.976744186047	0.0232558139534831
56	118	106.133333333333	11.8666666666667
57	12	5.61538461538461	6.38461538461539
58	144	141.407407407407	2.59259259259258
59	67	70	-3
60	52	49.95	2.05
61	108	111.588235294118	-3.58823529411765
62	166	165.285714285714	0.714285714285722
63	80	76.0952380952381	3.9047619047619
64	60	63.0526315789474	-3.05263157894737
65	107	106.133333333333	0.86666666666666
66	127	121.976744186047	5.02325581395348
67	107	106.133333333333	0.86666666666666
68	146	141.407407407407	4.59259259259258
69	84	85.2608695652174	-1.26086956521739
70	141	141.407407407407	-0.407407407407419
71	123	121.976744186047	1.02325581395348
72	111	111.588235294118	-0.588235294117652
73	98	95	3
74	105	106.133333333333	-1.13333333333334
75	135	141.407407407407	-6.40740740740742
76	107	106.133333333333	0.86666666666666
77	85	85.2608695652174	-0.260869565217391
78	155	141.407407407407	13.5925925925926
79	88	85.2608695652174	2.73913043478261
80	155	141.407407407407	13.5925925925926
81	104	106.133333333333	-2.13333333333334
82	132	121.976744186047	10.0232558139535
83	127	121.976744186047	5.02325581395348
84	108	106.133333333333	1.86666666666666
85	129	121.976744186047	7.02325581395348
86	116	111.588235294118	4.41176470588235
87	122	121.976744186047	0.0232558139534831
88	85	85.2608695652174	-0.260869565217391
89	147	141.407407407407	5.59259259259258
90	99	95	4
91	87	121.976744186047	-34.9767441860465
92	28	25.75	2.25
93	90	85.2608695652174	4.73913043478261
94	109	111.588235294118	-2.58823529411765
95	78	76.0952380952381	1.9047619047619
96	111	111.588235294118	-0.588235294117652
97	158	165.285714285714	-7.28571428571428
98	141	141.407407407407	-0.407407407407419
99	122	121.976744186047	0.0232558139534831
100	124	121.976744186047	2.02325581395348
101	93	95	-2
102	124	121.976744186047	2.02325581395348
103	112	111.588235294118	0.411764705882348
104	108	106.133333333333	1.86666666666666
105	99	106.133333333333	-7.13333333333334
106	117	121.976744186047	-4.97674418604652
107	199	165.285714285714	33.7142857142857
108	78	76.0952380952381	1.9047619047619
109	91	85.2608695652174	5.73913043478261
110	158	165.285714285714	-7.28571428571428
111	126	121.976744186047	4.02325581395348
112	122	121.976744186047	0.0232558139534831
113	71	76.0952380952381	-5.0952380952381
114	75	76.0952380952381	-1.0952380952381
115	115	121.976744186047	-6.97674418604652
116	119	121.976744186047	-2.97674418604652
117	124	121.976744186047	2.02325581395348
118	72	70	2
119	91	85.2608695652174	5.73913043478261
120	45	63.0526315789474	-18.0526315789474
121	78	76.0952380952381	1.9047619047619
122	39	40.375	-1.375
123	68	63.0526315789474	4.94736842105263
124	119	111.588235294118	7.41176470588235
125	117	121.976744186047	-4.97674418604652
126	39	40.375	-1.375
127	50	49.95	0.0499999999999972
128	88	85.2608695652174	2.73913043478261
129	155	165.285714285714	-10.2857142857143
130	0	5.61538461538461	-5.61538461538461
131	36	40.375	-4.375
132	123	121.976744186047	1.02325581395348
133	32	40.375	-8.375
134	99	95	4
135	136	141.407407407407	-5.40740740740742
136	117	121.976744186047	-4.97674418604652
137	0	5.61538461538461	-5.61538461538461
138	88	85.2608695652174	2.73913043478261
139	39	49.95	-10.95
140	25	25.75	-0.75
141	52	49.95	2.05
142	75	76.0952380952381	-1.0952380952381
143	71	70	1
144	124	121.976744186047	2.02325581395348
145	151	141.407407407407	9.59259259259258
146	71	85.2608695652174	-14.2608695652174
147	145	141.407407407407	3.59259259259258
148	87	85.2608695652174	1.73913043478261
149	27	25.75	1.25
150	131	121.976744186047	9.02325581395348
151	162	165.285714285714	-3.28571428571428
152	165	165.285714285714	-0.285714285714278
153	54	49.95	4.05
154	159	165.285714285714	-6.28571428571428
155	147	141.407407407407	5.59259259259258
156	170	165.285714285714	4.71428571428572
157	119	121.976744186047	-2.97674418604652
158	49	49.95	-0.950000000000003
159	104	106.133333333333	-2.13333333333334
160	120	121.976744186047	-1.97674418604652
161	150	141.407407407407	8.59259259259258
162	112	111.588235294118	0.411764705882348
163	59	63.0526315789474	-4.05263157894737
164	136	141.407407407407	-5.40740740740742
165	107	111.588235294118	-4.58823529411765
166	130	121.976744186047	8.02325581395348
167	115	121.976744186047	-6.97674418604652
168	107	106.133333333333	0.86666666666666
169	75	76.0952380952381	-1.0952380952381
170	71	70	1
171	120	121.976744186047	-1.97674418604652
172	116	121.976744186047	-5.97674418604652
173	79	76.0952380952381	2.9047619047619
174	150	141.407407407407	8.59259259259258
175	156	165.285714285714	-9.28571428571428
176	51	49.95	1.05
177	118	121.976744186047	-3.97674418604652
178	71	70	1
179	144	141.407407407407	2.59259259259258
180	47	49.95	-2.95
181	28	25.75	2.25
182	68	63.0526315789474	4.94736842105263
183	0	5.61538461538461	-5.61538461538461
184	110	111.588235294118	-1.58823529411765
185	147	141.407407407407	5.59259259259258
186	0	5.61538461538461	-5.61538461538461
187	15	5.61538461538461	9.38461538461539
188	4	5.61538461538461	-1.61538461538461
189	64	63.0526315789474	0.94736842105263
190	111	121.976744186047	-10.9767441860465
191	85	85.2608695652174	-0.260869565217391
192	68	63.0526315789474	4.94736842105263
193	40	40.375	-0.375
194	80	85.2608695652174	-5.26086956521739
195	88	85.2608695652174	2.73913043478261
196	48	40.375	7.625
197	76	76.0952380952381	-0.095238095238102
198	51	49.95	1.05
199	67	63.0526315789474	3.94736842105263
200	59	58.1111111111111	0.888888888888886
201	61	63.0526315789474	-2.05263157894737
202	76	85.2608695652174	-9.26086956521739
203	60	58.1111111111111	1.88888888888889
204	68	63.0526315789474	4.94736842105263
205	71	70	1
206	76	76.0952380952381	-0.095238095238102
207	62	63.0526315789474	-1.05263157894737
208	61	63.0526315789474	-2.05263157894737
209	67	70	-3
210	88	85.2608695652174	2.73913043478261
211	30	25.75	4.25
212	64	63.0526315789474	0.94736842105263
213	68	70	-2
214	64	63.0526315789474	0.94736842105263
215	91	85.2608695652174	5.73913043478261
216	88	85.2608695652174	2.73913043478261
217	52	49.95	2.05
218	49	49.95	-0.950000000000003
219	62	63.0526315789474	-1.05263157894737
220	61	63.0526315789474	-2.05263157894737
221	76	76.0952380952381	-0.095238095238102
222	88	85.2608695652174	2.73913043478261
223	66	63.0526315789474	2.94736842105263
224	71	70	1
225	68	63.0526315789474	4.94736842105263
226	48	40.375	7.625
227	25	25.75	-0.75
228	68	63.0526315789474	4.94736842105263
229	41	49.95	-8.95
230	90	85.2608695652174	4.73913043478261
231	66	63.0526315789474	2.94736842105263
232	54	49.95	4.05
233	59	58.1111111111111	0.888888888888886
234	60	63.0526315789474	-3.05263157894737
235	77	76.0952380952381	0.904761904761898
236	68	70	-2
237	72	70	2
238	67	63.0526315789474	3.94736842105263
239	64	63.0526315789474	0.94736842105263
240	63	63.0526315789474	-0.0526315789473699
241	59	58.1111111111111	0.888888888888886
242	84	76.0952380952381	7.9047619047619
243	64	63.0526315789474	0.94736842105263
244	56	49.95	6.05
245	54	58.1111111111111	-4.11111111111111
246	67	63.0526315789474	3.94736842105263
247	58	58.1111111111111	-0.111111111111114
248	59	58.1111111111111	0.888888888888886
249	40	40.375	-0.375
250	22	25.75	-3.75
251	83	85.2608695652174	-2.26086956521739
252	81	76.0952380952381	4.9047619047619
253	2	5.61538461538461	-3.61538461538461
254	72	70	2
255	61	63.0526315789474	-2.05263157894737
256	15	5.61538461538461	9.38461538461539
257	32	40.375	-8.375
258	62	63.0526315789474	-1.05263157894737
259	58	63.0526315789474	-5.05263157894737
260	36	40.375	-4.375
261	59	63.0526315789474	-4.05263157894737
262	68	63.0526315789474	4.94736842105263
263	21	25.75	-4.75
264	55	58.1111111111111	-3.11111111111111
265	54	49.95	4.05
266	55	49.95	5.05
267	72	70	2
268	41	40.375	0.625
269	61	63.0526315789474	-2.05263157894737
270	67	76.0952380952381	-9.0952380952381
271	76	76.0952380952381	-0.095238095238102
272	64	63.0526315789474	0.94736842105263
273	3	5.61538461538461	-2.61538461538461
274	63	63.0526315789474	-0.0526315789473699
275	40	40.375	-0.375
276	69	76.0952380952381	-7.0952380952381
277	48	40.375	7.625
278	8	5.61538461538461	2.38461538461539
279	52	49.95	2.05
280	66	63.0526315789474	2.94736842105263
281	76	76.0952380952381	-0.095238095238102
282	43	49.95	-6.95
283	39	40.375	-1.375
284	14	5.61538461538461	8.38461538461539
285	61	63.0526315789474	-2.05263157894737
286	71	76.0952380952381	-5.0952380952381
287	44	40.375	3.625
288	60	58.1111111111111	1.88888888888889
289	64	63.0526315789474	0.94736842105263

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 6 ; par2 = none ; par3 = 3 ; par4 = no ;

Parameters (R input):

par1 = 6 ; 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