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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_regression_trees1.wasp

Title produced by software

Recursive Partitioning (Regression Trees)

Date of computation

Wed, 21 Dec 2011 11:07:57 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/21/t1324483857jqhi9gcqa32i44c.htm/, Retrieved Tue, 07 May 2024 19:54:55 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158857, Retrieved Tue, 07 May 2024 19:54:55 +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)] [] [2011-12-21 16:07:57] [18bd4012f7c5a08dac5f89879c714e21] [Current]
-    D    [Recursive Partitioning (Regression Trees)] [] [2011-12-21 16:12:50] [59e8d6f9dbd0564968d0bb4af7b45de5] 
- RM        [Recursive Partitioning (Regression Trees)] [] [2011-12-22 19:30:10] [74be16979710d4c4e7c6647856088456] 
- R P       [Recursive Partitioning (Regression Trees)] [] [2011-12-22 19:35:16] [74be16979710d4c4e7c6647856088456] 
-   PD    [Recursive Partitioning (Regression Trees)] [] [2011-12-21 16:30:27] [59e8d6f9dbd0564968d0bb4af7b45de5] 
-   PD    [Recursive Partitioning (Regression Trees)] [] [2011-12-21 16:30:27] [59e8d6f9dbd0564968d0bb4af7b45de5] 
-   P       [Recursive Partitioning (Regression Trees)] [] [2011-12-21 16:38:14] [59e8d6f9dbd0564968d0bb4af7b45de5] 

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Dataseries X:

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Histogram

Boxplots

158258	89	48	18	20465
186930	57	53	20	33629
7215	18	0	0	1423
129098	94	51	27	25629
230587	134	76	31	54002
508313	260	128	36	151036
180745	56	62	23	33287
185559	58	83	30	31172
154581	43	55	30	28113
290658	95	67	26	57803
121844	75	50	24	49830
184039	68	77	30	52143
100324	98	46	22	21055
209427	114	79	25	47007
167592	57	55	18	28735
154593	86	54	22	59147
142018	56	81	33	78950
77855	59	5	15	13497
167047	86	74	34	46154
27997	24	13	18	53249
70824	58	19	15	10726
241082	99	99	30	83700
195820	72	38	25	40400
141899	53	59	34	33797
145433	85	50	21	36205
180241	30	50	21	30165
202232	160	61	25	58534
190230	90	81	31	44663
354924	117	60	31	92556
192399	43	52	20	40078
182286	44	61	28	34711
181590	45	60	22	31076
133801	105	53	17	74608
233686	123	76	25	58092
219428	52	63	24	42009
0	1	0	0	0
223044	63	54	28	36022
100129	51	44	14	23333
136733	47	36	35	53349
249965	64	83	34	92596
242379	71	105	22	49598
145794	59	37	34	44093
96404	31	25	23	84205
195891	78	64	24	63369
115335	49	55	26	60132
157787	94	41	22	37403
81293	31	23	35	24460
224049	100	67	24	46456
223789	86	54	31	66616
160344	58	68	26	41554
48188	28	12	22	22346
152206	68	86	21	30874
294283	72	74	27	68701
235223	78	56	30	35728
195583	59	67	33	29010
145942	54	40	11	23110
208834	66	53	26	38844
93764	23	26	26	27084
151985	66	67	23	35139
190545	94	36	38	57476
148922	59	50	31	33277
132856	80	48	20	31141
124234	59	46	19	61281
112718	36	53	26	25820
160930	34	27	26	23284
99184	40	38	33	35378
182022	69	69	36	74990
138708	65	93	25	29653
114408	38	59	24	64622
31970	15	5	21	4157
225558	112	53	19	29245
137011	71	40	12	50008
113612	68	72	30	52338
108641	70	51	21	13310
162203	66	81	34	92901
100098	44	27	32	10956
174768	60	94	28	34241
158459	97	71	28	75043
80934	30	20	21	21152
84971	71	34	31	42249
80545	68	54	26	42005
287191	64	49	29	41152
62974	27	26	23	14399
130982	38	47	25	28263
75555	45	35	22	17215
162154	54	32	26	48140
224670	225	55	33	62897
115019	110	58	24	22883
105038	60	44	24	41622
155537	52	45	21	40715
158258	89	48	18	20465
186930	57	53	20	33629
7215	18	0	0	1423
129098	94	51	27	25629
230587	134	76	31	54002
508313	260	128	36	151036
180745	56	62	23	33287
185559	58	83	30	31172
154581	43	55	30	28113
290658	95	67	26	57803
121844	75	50	24	49830
184039	68	77	30	52143
100324	98	46	22	21055
209427	114	79	25	47007
167592	57	55	18	28735
154593	86	54	22	59147
142018	56	81	33	78950
77855	59	5	15	13497
167047	86	74	34	46154
27997	24	13	18	53249
70824	58	19	15	10726
241082	99	99	30	83700
195820	72	38	25	40400
141899	53	59	34	33797
145433	85	50	21	36205
180241	30	50	21	30165
202232	160	61	25	58534
190230	90	81	31	44663
354924	117	60	31	92556
192399	43	52	20	40078
182286	44	61	28	34711
181590	45	60	22	31076
133801	105	53	17	74608
233686	123	76	25	58092
219428	52	63	24	42009
0	1	0	0	0
223044	63	54	28	36022
100129	51	44	14	23333
136733	47	36	35	53349
249965	64	83	34	92596
242379	71	105	22	49598
145794	59	37	34	44093
96404	31	25	23	84205
195891	78	64	24	63369
115335	49	55	26	60132
157787	94	41	22	37403
81293	31	23	35	24460
224049	100	67	24	46456
223789	86	54	31	66616
160344	58	68	26	41554
48188	28	12	22	22346
152206	68	86	21	30874
294283	72	74	27	68701
235223	78	56	30	35728
195583	59	67	33	29010
145942	54	40	11	23110
208834	66	53	26	38844
93764	23	26	26	27084
151985	66	67	23	35139
190545	94	36	38	57476
148922	59	50	31	33277
132856	80	48	20	31141
124234	59	46	19	61281
112718	36	53	26	25820
160930	34	27	26	23284
99184	40	38	33	35378
182022	69	69	36	74990
138708	65	93	25	29653
114408	38	59	24	64622
31970	15	5	21	4157
225558	112	53	19	29245
137011	71	40	12	50008
113612	68	72	30	52338
108641	70	51	21	13310
162203	66	81	34	92901
100098	44	27	32	10956
174768	60	94	28	34241
158459	97	71	28	75043
80934	30	20	21	21152
84971	71	34	31	42249
80545	68	54	26	42005
287191	64	49	29	41152
62974	27	26	23	14399
130982	38	47	25	28263
75555	45	35	22	17215
162154	54	32	26	48140
224670	225	55	33	62897
115019	110	58	24	22883
105038	60	44	24	41622
155537	52	45	21	40715
153133	41	49	28	65897
165577	76	72	27	76542
151517	57	39	25	37477
133686	58	28	15	53216
58128	38	24	13	40911
245196	117	52	36	57021
195576	69	96	24	73116
19349	12	13	1	3895
225371	105	38	24	46609
152796	76	41	31	29351
59117	28	24	4	2325
91762	23	54	21	31747
127987	52	59	23	32665
113552	58	28	23	19249
85338	40	36	12	15292
27676	22	2	16	5842
147984	47	83	29	33994
122417	36	29	26	13018
0	0	0	0	0
91529	32	46	25	98177
107205	66	25	21	37941
144664	44	51	23	31032
136540	61	59	21	32683
76656	59	36	21	34545
3616	5	0	0	0
0	0	0	0	0
183065	42	40	23	27525
144636	83	68	33	66856
152826	96	28	28	28549
113273	38	36	23	38610
43410	19	7	1	2781
175774	72	70	29	41211
95401	41	30	18	22698
118893	54	59	32	41194
60493	40	3	12	32689
19764	12	10	2	5752
164062	55	46	21	26757
132696	32	34	28	22527
155088	47	54	29	44810
11796	9	1	2	0
10674	9	0	0	0
142261	56	39	18	100674
6836	3	0	1	0
154206	61	48	21	57786
5118	3	5	0	0
40248	16	8	4	5444
0	0	0	0	0
122641	46	38	25	28470
88837	38	21	26	61849
7131	4	0	0	0
9056	14	0	4	2179
76611	24	15	17	8019
132697	50	50	21	39644
100681	19	17	22	23494

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\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 & 5 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
R Framework error message & Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158857&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158857&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158857&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	5 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

Goodness of Fit
Correlation	0.8175
R-squared	0.6684
RMSE	43771.2582

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.8175 \tabularnewline
R-squared & 0.6684 \tabularnewline
RMSE & 43771.2582 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158857&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.8175[/C][/ROW]
[ROW][C]R-squared[/C][C]0.6684[/C][/ROW]
[ROW][C]RMSE[/C][C]43771.2582[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158857&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158857&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	0.8175
R-squared	0.6684
RMSE	43771.2582

Actuals, Predictions, and Residuals
#	Actuals	Forecasts	Residuals
1	158258	162369.425531915	-4111.42553191489
2	186930	134170.057971014	52759.9420289855
3	7215	11155.6842105263	-3940.68421052631
4	129098	162369.425531915	-33271.4255319149
5	230587	288770.769230769	-58183.7692307692
6	508313	288770.769230769	219542.230769231
7	180745	189333.542372881	-8588.54237288135
8	185559	189333.542372881	-3774.54237288135
9	154581	134170.057971014	20410.9420289855
10	290658	189333.542372881	101324.457627119
11	121844	162369.425531915	-40525.4255319149
12	184039	189333.542372881	-5294.54237288135
13	100324	162369.425531915	-62045.4255319149
14	209427	189333.542372881	20093.4576271187
15	167592	134170.057971014	33421.9420289855
16	154593	162369.425531915	-7776.42553191489
17	142018	189333.542372881	-47315.5423728813
18	77855	48851	29004
19	167047	189333.542372881	-22286.5423728813
20	27997	48851	-20854
21	70824	81275.8333333333	-10451.8333333333
22	241082	189333.542372881	51748.4576271187
23	195820	162369.425531915	33450.5744680851
24	141899	134170.057971014	7728.9420289855
25	145433	162369.425531915	-16936.4255319149
26	180241	134170.057971014	46070.9420289855
27	202232	288770.769230769	-86538.7692307692
28	190230	189333.542372881	896.457627118652
29	354924	288770.769230769	66153.2307692308
30	192399	134170.057971014	58228.9420289855
31	182286	189333.542372881	-7047.54237288135
32	181590	189333.542372881	-7743.54237288135
33	133801	162369.425531915	-28568.4255319149
34	233686	288770.769230769	-55084.7692307692
35	219428	189333.542372881	30094.4576271187
36	0	11155.6842105263	-11155.6842105263
37	223044	162369.425531915	60674.5744680851
38	100129	134170.057971014	-34041.0579710145
39	136733	134170.057971014	2562.9420289855
40	249965	189333.542372881	60631.4576271187
41	242379	189333.542372881	53045.4576271187
42	145794	134170.057971014	11623.9420289855
43	96404	81275.8333333333	15128.1666666667
44	195891	189333.542372881	6557.45762711865
45	115335	134170.057971014	-18835.0579710145
46	157787	162369.425531915	-4582.42553191489
47	81293	81275.8333333333	17.1666666666715
48	224049	189333.542372881	34715.4576271187
49	223789	162369.425531915	61419.5744680851
50	160344	189333.542372881	-28989.5423728813
51	48188	48851	-663
52	152206	189333.542372881	-37127.5423728813
53	294283	189333.542372881	104949.457627119
54	235223	162369.425531915	72853.5744680851
55	195583	189333.542372881	6249.45762711865
56	145942	134170.057971014	11771.9420289855
57	208834	162369.425531915	46464.5744680851
58	93764	81275.8333333333	12488.1666666667
59	151985	189333.542372881	-37348.5423728813
60	190545	162369.425531915	28175.5744680851
61	148922	134170.057971014	14751.9420289855
62	132856	162369.425531915	-29513.4255319149
63	124234	134170.057971014	-9936.0579710145
64	112718	134170.057971014	-21452.0579710145
65	160930	134170.057971014	26759.9420289855
66	99184	134170.057971014	-34986.0579710145
67	182022	189333.542372881	-7311.54237288135
68	138708	189333.542372881	-50625.5423728813
69	114408	134170.057971014	-19762.0579710145
70	31970	11155.6842105263	20814.3157894737
71	225558	162369.425531915	63188.5744680851
72	137011	162369.425531915	-25358.4255319149
73	113612	189333.542372881	-75721.5423728813
74	108641	162369.425531915	-53728.4255319149
75	162203	189333.542372881	-27130.5423728813
76	100098	134170.057971014	-34072.0579710145
77	174768	189333.542372881	-14565.5423728813
78	158459	189333.542372881	-30874.5423728813
79	80934	81275.8333333333	-341.833333333328
80	84971	162369.425531915	-77398.4255319149
81	80545	162369.425531915	-81824.4255319149
82	287191	162369.425531915	124821.574468085
83	62974	81275.8333333333	-18301.8333333333
84	130982	134170.057971014	-3188.0579710145
85	75555	134170.057971014	-58615.0579710145
86	162154	134170.057971014	27983.9420289855
87	224670	288770.769230769	-64100.7692307692
88	115019	162369.425531915	-47350.4255319149
89	105038	134170.057971014	-29132.0579710145
90	155537	134170.057971014	21366.9420289855
91	158258	162369.425531915	-4111.42553191489
92	186930	134170.057971014	52759.9420289855
93	7215	11155.6842105263	-3940.68421052631
94	129098	162369.425531915	-33271.4255319149
95	230587	288770.769230769	-58183.7692307692
96	508313	288770.769230769	219542.230769231
97	180745	189333.542372881	-8588.54237288135
98	185559	189333.542372881	-3774.54237288135
99	154581	134170.057971014	20410.9420289855
100	290658	189333.542372881	101324.457627119
101	121844	162369.425531915	-40525.4255319149
102	184039	189333.542372881	-5294.54237288135
103	100324	162369.425531915	-62045.4255319149
104	209427	189333.542372881	20093.4576271187
105	167592	134170.057971014	33421.9420289855
106	154593	162369.425531915	-7776.42553191489
107	142018	189333.542372881	-47315.5423728813
108	77855	48851	29004
109	167047	189333.542372881	-22286.5423728813
110	27997	48851	-20854
111	70824	81275.8333333333	-10451.8333333333
112	241082	189333.542372881	51748.4576271187
113	195820	162369.425531915	33450.5744680851
114	141899	134170.057971014	7728.9420289855
115	145433	162369.425531915	-16936.4255319149
116	180241	134170.057971014	46070.9420289855
117	202232	288770.769230769	-86538.7692307692
118	190230	189333.542372881	896.457627118652
119	354924	288770.769230769	66153.2307692308
120	192399	134170.057971014	58228.9420289855
121	182286	189333.542372881	-7047.54237288135
122	181590	189333.542372881	-7743.54237288135
123	133801	162369.425531915	-28568.4255319149
124	233686	288770.769230769	-55084.7692307692
125	219428	189333.542372881	30094.4576271187
126	0	11155.6842105263	-11155.6842105263
127	223044	162369.425531915	60674.5744680851
128	100129	134170.057971014	-34041.0579710145
129	136733	134170.057971014	2562.9420289855
130	249965	189333.542372881	60631.4576271187
131	242379	189333.542372881	53045.4576271187
132	145794	134170.057971014	11623.9420289855
133	96404	81275.8333333333	15128.1666666667
134	195891	189333.542372881	6557.45762711865
135	115335	134170.057971014	-18835.0579710145
136	157787	162369.425531915	-4582.42553191489
137	81293	81275.8333333333	17.1666666666715
138	224049	189333.542372881	34715.4576271187
139	223789	162369.425531915	61419.5744680851
140	160344	189333.542372881	-28989.5423728813
141	48188	48851	-663
142	152206	189333.542372881	-37127.5423728813
143	294283	189333.542372881	104949.457627119
144	235223	162369.425531915	72853.5744680851
145	195583	189333.542372881	6249.45762711865
146	145942	134170.057971014	11771.9420289855
147	208834	162369.425531915	46464.5744680851
148	93764	81275.8333333333	12488.1666666667
149	151985	189333.542372881	-37348.5423728813
150	190545	162369.425531915	28175.5744680851
151	148922	134170.057971014	14751.9420289855
152	132856	162369.425531915	-29513.4255319149
153	124234	134170.057971014	-9936.0579710145
154	112718	134170.057971014	-21452.0579710145
155	160930	134170.057971014	26759.9420289855
156	99184	134170.057971014	-34986.0579710145
157	182022	189333.542372881	-7311.54237288135
158	138708	189333.542372881	-50625.5423728813
159	114408	134170.057971014	-19762.0579710145
160	31970	11155.6842105263	20814.3157894737
161	225558	162369.425531915	63188.5744680851
162	137011	162369.425531915	-25358.4255319149
163	113612	189333.542372881	-75721.5423728813
164	108641	162369.425531915	-53728.4255319149
165	162203	189333.542372881	-27130.5423728813
166	100098	134170.057971014	-34072.0579710145
167	174768	189333.542372881	-14565.5423728813
168	158459	189333.542372881	-30874.5423728813
169	80934	81275.8333333333	-341.833333333328
170	84971	162369.425531915	-77398.4255319149
171	80545	162369.425531915	-81824.4255319149
172	287191	162369.425531915	124821.574468085
173	62974	81275.8333333333	-18301.8333333333
174	130982	134170.057971014	-3188.0579710145
175	75555	134170.057971014	-58615.0579710145
176	162154	134170.057971014	27983.9420289855
177	224670	288770.769230769	-64100.7692307692
178	115019	162369.425531915	-47350.4255319149
179	105038	134170.057971014	-29132.0579710145
180	155537	134170.057971014	21366.9420289855
181	153133	134170.057971014	18962.9420289855
182	165577	189333.542372881	-23756.5423728813
183	151517	134170.057971014	17346.9420289855
184	133686	134170.057971014	-484.057971014496
185	58128	81275.8333333333	-23147.8333333333
186	245196	288770.769230769	-43574.7692307692
187	195576	189333.542372881	6242.45762711865
188	19349	11155.6842105263	8193.31578947369
189	225371	162369.425531915	63001.5744680851
190	152796	162369.425531915	-9573.42553191489
191	59117	81275.8333333333	-22158.8333333333
192	91762	134170.057971014	-42408.0579710145
193	127987	134170.057971014	-6183.0579710145
194	113552	134170.057971014	-20618.0579710145
195	85338	134170.057971014	-48832.0579710145
196	27676	48851	-21175
197	147984	189333.542372881	-41349.5423728813
198	122417	134170.057971014	-11753.0579710145
199	0	11155.6842105263	-11155.6842105263
200	91529	134170.057971014	-42641.0579710145
201	107205	81275.8333333333	25929.1666666667
202	144664	134170.057971014	10493.9420289855
203	136540	134170.057971014	2369.9420289855
204	76656	134170.057971014	-57514.0579710145
205	3616	11155.6842105263	-7539.68421052631
206	0	11155.6842105263	-11155.6842105263
207	183065	134170.057971014	48894.9420289855
208	144636	189333.542372881	-44697.5423728813
209	152826	162369.425531915	-9543.42553191489
210	113273	134170.057971014	-20897.0579710145
211	43410	48851	-5441
212	175774	189333.542372881	-13559.5423728813
213	95401	134170.057971014	-38769.0579710145
214	118893	134170.057971014	-15277.0579710145
215	60493	48851	11642
216	19764	11155.6842105263	8608.31578947369
217	164062	134170.057971014	29891.9420289855
218	132696	134170.057971014	-1474.0579710145
219	155088	134170.057971014	20917.9420289855
220	11796	11155.6842105263	640.315789473685
221	10674	11155.6842105263	-481.684210526315
222	142261	134170.057971014	8090.9420289855
223	6836	11155.6842105263	-4319.68421052631
224	154206	134170.057971014	20035.9420289855
225	5118	11155.6842105263	-6037.68421052631
226	40248	11155.6842105263	29092.3157894737
227	0	11155.6842105263	-11155.6842105263
228	122641	134170.057971014	-11529.0579710145
229	88837	81275.8333333333	7561.16666666667
230	7131	11155.6842105263	-4024.68421052631
231	9056	11155.6842105263	-2099.68421052631
232	76611	81275.8333333333	-4664.83333333333
233	132697	134170.057971014	-1473.0579710145
234	100681	81275.8333333333	19405.1666666667

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 158258 & 162369.425531915 & -4111.42553191489 \tabularnewline
2 & 186930 & 134170.057971014 & 52759.9420289855 \tabularnewline
3 & 7215 & 11155.6842105263 & -3940.68421052631 \tabularnewline
4 & 129098 & 162369.425531915 & -33271.4255319149 \tabularnewline
5 & 230587 & 288770.769230769 & -58183.7692307692 \tabularnewline
6 & 508313 & 288770.769230769 & 219542.230769231 \tabularnewline
7 & 180745 & 189333.542372881 & -8588.54237288135 \tabularnewline
8 & 185559 & 189333.542372881 & -3774.54237288135 \tabularnewline
9 & 154581 & 134170.057971014 & 20410.9420289855 \tabularnewline
10 & 290658 & 189333.542372881 & 101324.457627119 \tabularnewline
11 & 121844 & 162369.425531915 & -40525.4255319149 \tabularnewline
12 & 184039 & 189333.542372881 & -5294.54237288135 \tabularnewline
13 & 100324 & 162369.425531915 & -62045.4255319149 \tabularnewline
14 & 209427 & 189333.542372881 & 20093.4576271187 \tabularnewline
15 & 167592 & 134170.057971014 & 33421.9420289855 \tabularnewline
16 & 154593 & 162369.425531915 & -7776.42553191489 \tabularnewline
17 & 142018 & 189333.542372881 & -47315.5423728813 \tabularnewline
18 & 77855 & 48851 & 29004 \tabularnewline
19 & 167047 & 189333.542372881 & -22286.5423728813 \tabularnewline
20 & 27997 & 48851 & -20854 \tabularnewline
21 & 70824 & 81275.8333333333 & -10451.8333333333 \tabularnewline
22 & 241082 & 189333.542372881 & 51748.4576271187 \tabularnewline
23 & 195820 & 162369.425531915 & 33450.5744680851 \tabularnewline
24 & 141899 & 134170.057971014 & 7728.9420289855 \tabularnewline
25 & 145433 & 162369.425531915 & -16936.4255319149 \tabularnewline
26 & 180241 & 134170.057971014 & 46070.9420289855 \tabularnewline
27 & 202232 & 288770.769230769 & -86538.7692307692 \tabularnewline
28 & 190230 & 189333.542372881 & 896.457627118652 \tabularnewline
29 & 354924 & 288770.769230769 & 66153.2307692308 \tabularnewline
30 & 192399 & 134170.057971014 & 58228.9420289855 \tabularnewline
31 & 182286 & 189333.542372881 & -7047.54237288135 \tabularnewline
32 & 181590 & 189333.542372881 & -7743.54237288135 \tabularnewline
33 & 133801 & 162369.425531915 & -28568.4255319149 \tabularnewline
34 & 233686 & 288770.769230769 & -55084.7692307692 \tabularnewline
35 & 219428 & 189333.542372881 & 30094.4576271187 \tabularnewline
36 & 0 & 11155.6842105263 & -11155.6842105263 \tabularnewline
37 & 223044 & 162369.425531915 & 60674.5744680851 \tabularnewline
38 & 100129 & 134170.057971014 & -34041.0579710145 \tabularnewline
39 & 136733 & 134170.057971014 & 2562.9420289855 \tabularnewline
40 & 249965 & 189333.542372881 & 60631.4576271187 \tabularnewline
41 & 242379 & 189333.542372881 & 53045.4576271187 \tabularnewline
42 & 145794 & 134170.057971014 & 11623.9420289855 \tabularnewline
43 & 96404 & 81275.8333333333 & 15128.1666666667 \tabularnewline
44 & 195891 & 189333.542372881 & 6557.45762711865 \tabularnewline
45 & 115335 & 134170.057971014 & -18835.0579710145 \tabularnewline
46 & 157787 & 162369.425531915 & -4582.42553191489 \tabularnewline
47 & 81293 & 81275.8333333333 & 17.1666666666715 \tabularnewline
48 & 224049 & 189333.542372881 & 34715.4576271187 \tabularnewline
49 & 223789 & 162369.425531915 & 61419.5744680851 \tabularnewline
50 & 160344 & 189333.542372881 & -28989.5423728813 \tabularnewline
51 & 48188 & 48851 & -663 \tabularnewline
52 & 152206 & 189333.542372881 & -37127.5423728813 \tabularnewline
53 & 294283 & 189333.542372881 & 104949.457627119 \tabularnewline
54 & 235223 & 162369.425531915 & 72853.5744680851 \tabularnewline
55 & 195583 & 189333.542372881 & 6249.45762711865 \tabularnewline
56 & 145942 & 134170.057971014 & 11771.9420289855 \tabularnewline
57 & 208834 & 162369.425531915 & 46464.5744680851 \tabularnewline
58 & 93764 & 81275.8333333333 & 12488.1666666667 \tabularnewline
59 & 151985 & 189333.542372881 & -37348.5423728813 \tabularnewline
60 & 190545 & 162369.425531915 & 28175.5744680851 \tabularnewline
61 & 148922 & 134170.057971014 & 14751.9420289855 \tabularnewline
62 & 132856 & 162369.425531915 & -29513.4255319149 \tabularnewline
63 & 124234 & 134170.057971014 & -9936.0579710145 \tabularnewline
64 & 112718 & 134170.057971014 & -21452.0579710145 \tabularnewline
65 & 160930 & 134170.057971014 & 26759.9420289855 \tabularnewline
66 & 99184 & 134170.057971014 & -34986.0579710145 \tabularnewline
67 & 182022 & 189333.542372881 & -7311.54237288135 \tabularnewline
68 & 138708 & 189333.542372881 & -50625.5423728813 \tabularnewline
69 & 114408 & 134170.057971014 & -19762.0579710145 \tabularnewline
70 & 31970 & 11155.6842105263 & 20814.3157894737 \tabularnewline
71 & 225558 & 162369.425531915 & 63188.5744680851 \tabularnewline
72 & 137011 & 162369.425531915 & -25358.4255319149 \tabularnewline
73 & 113612 & 189333.542372881 & -75721.5423728813 \tabularnewline
74 & 108641 & 162369.425531915 & -53728.4255319149 \tabularnewline
75 & 162203 & 189333.542372881 & -27130.5423728813 \tabularnewline
76 & 100098 & 134170.057971014 & -34072.0579710145 \tabularnewline
77 & 174768 & 189333.542372881 & -14565.5423728813 \tabularnewline
78 & 158459 & 189333.542372881 & -30874.5423728813 \tabularnewline
79 & 80934 & 81275.8333333333 & -341.833333333328 \tabularnewline
80 & 84971 & 162369.425531915 & -77398.4255319149 \tabularnewline
81 & 80545 & 162369.425531915 & -81824.4255319149 \tabularnewline
82 & 287191 & 162369.425531915 & 124821.574468085 \tabularnewline
83 & 62974 & 81275.8333333333 & -18301.8333333333 \tabularnewline
84 & 130982 & 134170.057971014 & -3188.0579710145 \tabularnewline
85 & 75555 & 134170.057971014 & -58615.0579710145 \tabularnewline
86 & 162154 & 134170.057971014 & 27983.9420289855 \tabularnewline
87 & 224670 & 288770.769230769 & -64100.7692307692 \tabularnewline
88 & 115019 & 162369.425531915 & -47350.4255319149 \tabularnewline
89 & 105038 & 134170.057971014 & -29132.0579710145 \tabularnewline
90 & 155537 & 134170.057971014 & 21366.9420289855 \tabularnewline
91 & 158258 & 162369.425531915 & -4111.42553191489 \tabularnewline
92 & 186930 & 134170.057971014 & 52759.9420289855 \tabularnewline
93 & 7215 & 11155.6842105263 & -3940.68421052631 \tabularnewline
94 & 129098 & 162369.425531915 & -33271.4255319149 \tabularnewline
95 & 230587 & 288770.769230769 & -58183.7692307692 \tabularnewline
96 & 508313 & 288770.769230769 & 219542.230769231 \tabularnewline
97 & 180745 & 189333.542372881 & -8588.54237288135 \tabularnewline
98 & 185559 & 189333.542372881 & -3774.54237288135 \tabularnewline
99 & 154581 & 134170.057971014 & 20410.9420289855 \tabularnewline
100 & 290658 & 189333.542372881 & 101324.457627119 \tabularnewline
101 & 121844 & 162369.425531915 & -40525.4255319149 \tabularnewline
102 & 184039 & 189333.542372881 & -5294.54237288135 \tabularnewline
103 & 100324 & 162369.425531915 & -62045.4255319149 \tabularnewline
104 & 209427 & 189333.542372881 & 20093.4576271187 \tabularnewline
105 & 167592 & 134170.057971014 & 33421.9420289855 \tabularnewline
106 & 154593 & 162369.425531915 & -7776.42553191489 \tabularnewline
107 & 142018 & 189333.542372881 & -47315.5423728813 \tabularnewline
108 & 77855 & 48851 & 29004 \tabularnewline
109 & 167047 & 189333.542372881 & -22286.5423728813 \tabularnewline
110 & 27997 & 48851 & -20854 \tabularnewline
111 & 70824 & 81275.8333333333 & -10451.8333333333 \tabularnewline
112 & 241082 & 189333.542372881 & 51748.4576271187 \tabularnewline
113 & 195820 & 162369.425531915 & 33450.5744680851 \tabularnewline
114 & 141899 & 134170.057971014 & 7728.9420289855 \tabularnewline
115 & 145433 & 162369.425531915 & -16936.4255319149 \tabularnewline
116 & 180241 & 134170.057971014 & 46070.9420289855 \tabularnewline
117 & 202232 & 288770.769230769 & -86538.7692307692 \tabularnewline
118 & 190230 & 189333.542372881 & 896.457627118652 \tabularnewline
119 & 354924 & 288770.769230769 & 66153.2307692308 \tabularnewline
120 & 192399 & 134170.057971014 & 58228.9420289855 \tabularnewline
121 & 182286 & 189333.542372881 & -7047.54237288135 \tabularnewline
122 & 181590 & 189333.542372881 & -7743.54237288135 \tabularnewline
123 & 133801 & 162369.425531915 & -28568.4255319149 \tabularnewline
124 & 233686 & 288770.769230769 & -55084.7692307692 \tabularnewline
125 & 219428 & 189333.542372881 & 30094.4576271187 \tabularnewline
126 & 0 & 11155.6842105263 & -11155.6842105263 \tabularnewline
127 & 223044 & 162369.425531915 & 60674.5744680851 \tabularnewline
128 & 100129 & 134170.057971014 & -34041.0579710145 \tabularnewline
129 & 136733 & 134170.057971014 & 2562.9420289855 \tabularnewline
130 & 249965 & 189333.542372881 & 60631.4576271187 \tabularnewline
131 & 242379 & 189333.542372881 & 53045.4576271187 \tabularnewline
132 & 145794 & 134170.057971014 & 11623.9420289855 \tabularnewline
133 & 96404 & 81275.8333333333 & 15128.1666666667 \tabularnewline
134 & 195891 & 189333.542372881 & 6557.45762711865 \tabularnewline
135 & 115335 & 134170.057971014 & -18835.0579710145 \tabularnewline
136 & 157787 & 162369.425531915 & -4582.42553191489 \tabularnewline
137 & 81293 & 81275.8333333333 & 17.1666666666715 \tabularnewline
138 & 224049 & 189333.542372881 & 34715.4576271187 \tabularnewline
139 & 223789 & 162369.425531915 & 61419.5744680851 \tabularnewline
140 & 160344 & 189333.542372881 & -28989.5423728813 \tabularnewline
141 & 48188 & 48851 & -663 \tabularnewline
142 & 152206 & 189333.542372881 & -37127.5423728813 \tabularnewline
143 & 294283 & 189333.542372881 & 104949.457627119 \tabularnewline
144 & 235223 & 162369.425531915 & 72853.5744680851 \tabularnewline
145 & 195583 & 189333.542372881 & 6249.45762711865 \tabularnewline
146 & 145942 & 134170.057971014 & 11771.9420289855 \tabularnewline
147 & 208834 & 162369.425531915 & 46464.5744680851 \tabularnewline
148 & 93764 & 81275.8333333333 & 12488.1666666667 \tabularnewline
149 & 151985 & 189333.542372881 & -37348.5423728813 \tabularnewline
150 & 190545 & 162369.425531915 & 28175.5744680851 \tabularnewline
151 & 148922 & 134170.057971014 & 14751.9420289855 \tabularnewline
152 & 132856 & 162369.425531915 & -29513.4255319149 \tabularnewline
153 & 124234 & 134170.057971014 & -9936.0579710145 \tabularnewline
154 & 112718 & 134170.057971014 & -21452.0579710145 \tabularnewline
155 & 160930 & 134170.057971014 & 26759.9420289855 \tabularnewline
156 & 99184 & 134170.057971014 & -34986.0579710145 \tabularnewline
157 & 182022 & 189333.542372881 & -7311.54237288135 \tabularnewline
158 & 138708 & 189333.542372881 & -50625.5423728813 \tabularnewline
159 & 114408 & 134170.057971014 & -19762.0579710145 \tabularnewline
160 & 31970 & 11155.6842105263 & 20814.3157894737 \tabularnewline
161 & 225558 & 162369.425531915 & 63188.5744680851 \tabularnewline
162 & 137011 & 162369.425531915 & -25358.4255319149 \tabularnewline
163 & 113612 & 189333.542372881 & -75721.5423728813 \tabularnewline
164 & 108641 & 162369.425531915 & -53728.4255319149 \tabularnewline
165 & 162203 & 189333.542372881 & -27130.5423728813 \tabularnewline
166 & 100098 & 134170.057971014 & -34072.0579710145 \tabularnewline
167 & 174768 & 189333.542372881 & -14565.5423728813 \tabularnewline
168 & 158459 & 189333.542372881 & -30874.5423728813 \tabularnewline
169 & 80934 & 81275.8333333333 & -341.833333333328 \tabularnewline
170 & 84971 & 162369.425531915 & -77398.4255319149 \tabularnewline
171 & 80545 & 162369.425531915 & -81824.4255319149 \tabularnewline
172 & 287191 & 162369.425531915 & 124821.574468085 \tabularnewline
173 & 62974 & 81275.8333333333 & -18301.8333333333 \tabularnewline
174 & 130982 & 134170.057971014 & -3188.0579710145 \tabularnewline
175 & 75555 & 134170.057971014 & -58615.0579710145 \tabularnewline
176 & 162154 & 134170.057971014 & 27983.9420289855 \tabularnewline
177 & 224670 & 288770.769230769 & -64100.7692307692 \tabularnewline
178 & 115019 & 162369.425531915 & -47350.4255319149 \tabularnewline
179 & 105038 & 134170.057971014 & -29132.0579710145 \tabularnewline
180 & 155537 & 134170.057971014 & 21366.9420289855 \tabularnewline
181 & 153133 & 134170.057971014 & 18962.9420289855 \tabularnewline
182 & 165577 & 189333.542372881 & -23756.5423728813 \tabularnewline
183 & 151517 & 134170.057971014 & 17346.9420289855 \tabularnewline
184 & 133686 & 134170.057971014 & -484.057971014496 \tabularnewline
185 & 58128 & 81275.8333333333 & -23147.8333333333 \tabularnewline
186 & 245196 & 288770.769230769 & -43574.7692307692 \tabularnewline
187 & 195576 & 189333.542372881 & 6242.45762711865 \tabularnewline
188 & 19349 & 11155.6842105263 & 8193.31578947369 \tabularnewline
189 & 225371 & 162369.425531915 & 63001.5744680851 \tabularnewline
190 & 152796 & 162369.425531915 & -9573.42553191489 \tabularnewline
191 & 59117 & 81275.8333333333 & -22158.8333333333 \tabularnewline
192 & 91762 & 134170.057971014 & -42408.0579710145 \tabularnewline
193 & 127987 & 134170.057971014 & -6183.0579710145 \tabularnewline
194 & 113552 & 134170.057971014 & -20618.0579710145 \tabularnewline
195 & 85338 & 134170.057971014 & -48832.0579710145 \tabularnewline
196 & 27676 & 48851 & -21175 \tabularnewline
197 & 147984 & 189333.542372881 & -41349.5423728813 \tabularnewline
198 & 122417 & 134170.057971014 & -11753.0579710145 \tabularnewline
199 & 0 & 11155.6842105263 & -11155.6842105263 \tabularnewline
200 & 91529 & 134170.057971014 & -42641.0579710145 \tabularnewline
201 & 107205 & 81275.8333333333 & 25929.1666666667 \tabularnewline
202 & 144664 & 134170.057971014 & 10493.9420289855 \tabularnewline
203 & 136540 & 134170.057971014 & 2369.9420289855 \tabularnewline
204 & 76656 & 134170.057971014 & -57514.0579710145 \tabularnewline
205 & 3616 & 11155.6842105263 & -7539.68421052631 \tabularnewline
206 & 0 & 11155.6842105263 & -11155.6842105263 \tabularnewline
207 & 183065 & 134170.057971014 & 48894.9420289855 \tabularnewline
208 & 144636 & 189333.542372881 & -44697.5423728813 \tabularnewline
209 & 152826 & 162369.425531915 & -9543.42553191489 \tabularnewline
210 & 113273 & 134170.057971014 & -20897.0579710145 \tabularnewline
211 & 43410 & 48851 & -5441 \tabularnewline
212 & 175774 & 189333.542372881 & -13559.5423728813 \tabularnewline
213 & 95401 & 134170.057971014 & -38769.0579710145 \tabularnewline
214 & 118893 & 134170.057971014 & -15277.0579710145 \tabularnewline
215 & 60493 & 48851 & 11642 \tabularnewline
216 & 19764 & 11155.6842105263 & 8608.31578947369 \tabularnewline
217 & 164062 & 134170.057971014 & 29891.9420289855 \tabularnewline
218 & 132696 & 134170.057971014 & -1474.0579710145 \tabularnewline
219 & 155088 & 134170.057971014 & 20917.9420289855 \tabularnewline
220 & 11796 & 11155.6842105263 & 640.315789473685 \tabularnewline
221 & 10674 & 11155.6842105263 & -481.684210526315 \tabularnewline
222 & 142261 & 134170.057971014 & 8090.9420289855 \tabularnewline
223 & 6836 & 11155.6842105263 & -4319.68421052631 \tabularnewline
224 & 154206 & 134170.057971014 & 20035.9420289855 \tabularnewline
225 & 5118 & 11155.6842105263 & -6037.68421052631 \tabularnewline
226 & 40248 & 11155.6842105263 & 29092.3157894737 \tabularnewline
227 & 0 & 11155.6842105263 & -11155.6842105263 \tabularnewline
228 & 122641 & 134170.057971014 & -11529.0579710145 \tabularnewline
229 & 88837 & 81275.8333333333 & 7561.16666666667 \tabularnewline
230 & 7131 & 11155.6842105263 & -4024.68421052631 \tabularnewline
231 & 9056 & 11155.6842105263 & -2099.68421052631 \tabularnewline
232 & 76611 & 81275.8333333333 & -4664.83333333333 \tabularnewline
233 & 132697 & 134170.057971014 & -1473.0579710145 \tabularnewline
234 & 100681 & 81275.8333333333 & 19405.1666666667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158857&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]158258[/C][C]162369.425531915[/C][C]-4111.42553191489[/C][/ROW]
[ROW][C]2[/C][C]186930[/C][C]134170.057971014[/C][C]52759.9420289855[/C][/ROW]
[ROW][C]3[/C][C]7215[/C][C]11155.6842105263[/C][C]-3940.68421052631[/C][/ROW]
[ROW][C]4[/C][C]129098[/C][C]162369.425531915[/C][C]-33271.4255319149[/C][/ROW]
[ROW][C]5[/C][C]230587[/C][C]288770.769230769[/C][C]-58183.7692307692[/C][/ROW]
[ROW][C]6[/C][C]508313[/C][C]288770.769230769[/C][C]219542.230769231[/C][/ROW]
[ROW][C]7[/C][C]180745[/C][C]189333.542372881[/C][C]-8588.54237288135[/C][/ROW]
[ROW][C]8[/C][C]185559[/C][C]189333.542372881[/C][C]-3774.54237288135[/C][/ROW]
[ROW][C]9[/C][C]154581[/C][C]134170.057971014[/C][C]20410.9420289855[/C][/ROW]
[ROW][C]10[/C][C]290658[/C][C]189333.542372881[/C][C]101324.457627119[/C][/ROW]
[ROW][C]11[/C][C]121844[/C][C]162369.425531915[/C][C]-40525.4255319149[/C][/ROW]
[ROW][C]12[/C][C]184039[/C][C]189333.542372881[/C][C]-5294.54237288135[/C][/ROW]
[ROW][C]13[/C][C]100324[/C][C]162369.425531915[/C][C]-62045.4255319149[/C][/ROW]
[ROW][C]14[/C][C]209427[/C][C]189333.542372881[/C][C]20093.4576271187[/C][/ROW]
[ROW][C]15[/C][C]167592[/C][C]134170.057971014[/C][C]33421.9420289855[/C][/ROW]
[ROW][C]16[/C][C]154593[/C][C]162369.425531915[/C][C]-7776.42553191489[/C][/ROW]
[ROW][C]17[/C][C]142018[/C][C]189333.542372881[/C][C]-47315.5423728813[/C][/ROW]
[ROW][C]18[/C][C]77855[/C][C]48851[/C][C]29004[/C][/ROW]
[ROW][C]19[/C][C]167047[/C][C]189333.542372881[/C][C]-22286.5423728813[/C][/ROW]
[ROW][C]20[/C][C]27997[/C][C]48851[/C][C]-20854[/C][/ROW]
[ROW][C]21[/C][C]70824[/C][C]81275.8333333333[/C][C]-10451.8333333333[/C][/ROW]
[ROW][C]22[/C][C]241082[/C][C]189333.542372881[/C][C]51748.4576271187[/C][/ROW]
[ROW][C]23[/C][C]195820[/C][C]162369.425531915[/C][C]33450.5744680851[/C][/ROW]
[ROW][C]24[/C][C]141899[/C][C]134170.057971014[/C][C]7728.9420289855[/C][/ROW]
[ROW][C]25[/C][C]145433[/C][C]162369.425531915[/C][C]-16936.4255319149[/C][/ROW]
[ROW][C]26[/C][C]180241[/C][C]134170.057971014[/C][C]46070.9420289855[/C][/ROW]
[ROW][C]27[/C][C]202232[/C][C]288770.769230769[/C][C]-86538.7692307692[/C][/ROW]
[ROW][C]28[/C][C]190230[/C][C]189333.542372881[/C][C]896.457627118652[/C][/ROW]
[ROW][C]29[/C][C]354924[/C][C]288770.769230769[/C][C]66153.2307692308[/C][/ROW]
[ROW][C]30[/C][C]192399[/C][C]134170.057971014[/C][C]58228.9420289855[/C][/ROW]
[ROW][C]31[/C][C]182286[/C][C]189333.542372881[/C][C]-7047.54237288135[/C][/ROW]
[ROW][C]32[/C][C]181590[/C][C]189333.542372881[/C][C]-7743.54237288135[/C][/ROW]
[ROW][C]33[/C][C]133801[/C][C]162369.425531915[/C][C]-28568.4255319149[/C][/ROW]
[ROW][C]34[/C][C]233686[/C][C]288770.769230769[/C][C]-55084.7692307692[/C][/ROW]
[ROW][C]35[/C][C]219428[/C][C]189333.542372881[/C][C]30094.4576271187[/C][/ROW]
[ROW][C]36[/C][C]0[/C][C]11155.6842105263[/C][C]-11155.6842105263[/C][/ROW]
[ROW][C]37[/C][C]223044[/C][C]162369.425531915[/C][C]60674.5744680851[/C][/ROW]
[ROW][C]38[/C][C]100129[/C][C]134170.057971014[/C][C]-34041.0579710145[/C][/ROW]
[ROW][C]39[/C][C]136733[/C][C]134170.057971014[/C][C]2562.9420289855[/C][/ROW]
[ROW][C]40[/C][C]249965[/C][C]189333.542372881[/C][C]60631.4576271187[/C][/ROW]
[ROW][C]41[/C][C]242379[/C][C]189333.542372881[/C][C]53045.4576271187[/C][/ROW]
[ROW][C]42[/C][C]145794[/C][C]134170.057971014[/C][C]11623.9420289855[/C][/ROW]
[ROW][C]43[/C][C]96404[/C][C]81275.8333333333[/C][C]15128.1666666667[/C][/ROW]
[ROW][C]44[/C][C]195891[/C][C]189333.542372881[/C][C]6557.45762711865[/C][/ROW]
[ROW][C]45[/C][C]115335[/C][C]134170.057971014[/C][C]-18835.0579710145[/C][/ROW]
[ROW][C]46[/C][C]157787[/C][C]162369.425531915[/C][C]-4582.42553191489[/C][/ROW]
[ROW][C]47[/C][C]81293[/C][C]81275.8333333333[/C][C]17.1666666666715[/C][/ROW]
[ROW][C]48[/C][C]224049[/C][C]189333.542372881[/C][C]34715.4576271187[/C][/ROW]
[ROW][C]49[/C][C]223789[/C][C]162369.425531915[/C][C]61419.5744680851[/C][/ROW]
[ROW][C]50[/C][C]160344[/C][C]189333.542372881[/C][C]-28989.5423728813[/C][/ROW]
[ROW][C]51[/C][C]48188[/C][C]48851[/C][C]-663[/C][/ROW]
[ROW][C]52[/C][C]152206[/C][C]189333.542372881[/C][C]-37127.5423728813[/C][/ROW]
[ROW][C]53[/C][C]294283[/C][C]189333.542372881[/C][C]104949.457627119[/C][/ROW]
[ROW][C]54[/C][C]235223[/C][C]162369.425531915[/C][C]72853.5744680851[/C][/ROW]
[ROW][C]55[/C][C]195583[/C][C]189333.542372881[/C][C]6249.45762711865[/C][/ROW]
[ROW][C]56[/C][C]145942[/C][C]134170.057971014[/C][C]11771.9420289855[/C][/ROW]
[ROW][C]57[/C][C]208834[/C][C]162369.425531915[/C][C]46464.5744680851[/C][/ROW]
[ROW][C]58[/C][C]93764[/C][C]81275.8333333333[/C][C]12488.1666666667[/C][/ROW]
[ROW][C]59[/C][C]151985[/C][C]189333.542372881[/C][C]-37348.5423728813[/C][/ROW]
[ROW][C]60[/C][C]190545[/C][C]162369.425531915[/C][C]28175.5744680851[/C][/ROW]
[ROW][C]61[/C][C]148922[/C][C]134170.057971014[/C][C]14751.9420289855[/C][/ROW]
[ROW][C]62[/C][C]132856[/C][C]162369.425531915[/C][C]-29513.4255319149[/C][/ROW]
[ROW][C]63[/C][C]124234[/C][C]134170.057971014[/C][C]-9936.0579710145[/C][/ROW]
[ROW][C]64[/C][C]112718[/C][C]134170.057971014[/C][C]-21452.0579710145[/C][/ROW]
[ROW][C]65[/C][C]160930[/C][C]134170.057971014[/C][C]26759.9420289855[/C][/ROW]
[ROW][C]66[/C][C]99184[/C][C]134170.057971014[/C][C]-34986.0579710145[/C][/ROW]
[ROW][C]67[/C][C]182022[/C][C]189333.542372881[/C][C]-7311.54237288135[/C][/ROW]
[ROW][C]68[/C][C]138708[/C][C]189333.542372881[/C][C]-50625.5423728813[/C][/ROW]
[ROW][C]69[/C][C]114408[/C][C]134170.057971014[/C][C]-19762.0579710145[/C][/ROW]
[ROW][C]70[/C][C]31970[/C][C]11155.6842105263[/C][C]20814.3157894737[/C][/ROW]
[ROW][C]71[/C][C]225558[/C][C]162369.425531915[/C][C]63188.5744680851[/C][/ROW]
[ROW][C]72[/C][C]137011[/C][C]162369.425531915[/C][C]-25358.4255319149[/C][/ROW]
[ROW][C]73[/C][C]113612[/C][C]189333.542372881[/C][C]-75721.5423728813[/C][/ROW]
[ROW][C]74[/C][C]108641[/C][C]162369.425531915[/C][C]-53728.4255319149[/C][/ROW]
[ROW][C]75[/C][C]162203[/C][C]189333.542372881[/C][C]-27130.5423728813[/C][/ROW]
[ROW][C]76[/C][C]100098[/C][C]134170.057971014[/C][C]-34072.0579710145[/C][/ROW]
[ROW][C]77[/C][C]174768[/C][C]189333.542372881[/C][C]-14565.5423728813[/C][/ROW]
[ROW][C]78[/C][C]158459[/C][C]189333.542372881[/C][C]-30874.5423728813[/C][/ROW]
[ROW][C]79[/C][C]80934[/C][C]81275.8333333333[/C][C]-341.833333333328[/C][/ROW]
[ROW][C]80[/C][C]84971[/C][C]162369.425531915[/C][C]-77398.4255319149[/C][/ROW]
[ROW][C]81[/C][C]80545[/C][C]162369.425531915[/C][C]-81824.4255319149[/C][/ROW]
[ROW][C]82[/C][C]287191[/C][C]162369.425531915[/C][C]124821.574468085[/C][/ROW]
[ROW][C]83[/C][C]62974[/C][C]81275.8333333333[/C][C]-18301.8333333333[/C][/ROW]
[ROW][C]84[/C][C]130982[/C][C]134170.057971014[/C][C]-3188.0579710145[/C][/ROW]
[ROW][C]85[/C][C]75555[/C][C]134170.057971014[/C][C]-58615.0579710145[/C][/ROW]
[ROW][C]86[/C][C]162154[/C][C]134170.057971014[/C][C]27983.9420289855[/C][/ROW]
[ROW][C]87[/C][C]224670[/C][C]288770.769230769[/C][C]-64100.7692307692[/C][/ROW]
[ROW][C]88[/C][C]115019[/C][C]162369.425531915[/C][C]-47350.4255319149[/C][/ROW]
[ROW][C]89[/C][C]105038[/C][C]134170.057971014[/C][C]-29132.0579710145[/C][/ROW]
[ROW][C]90[/C][C]155537[/C][C]134170.057971014[/C][C]21366.9420289855[/C][/ROW]
[ROW][C]91[/C][C]158258[/C][C]162369.425531915[/C][C]-4111.42553191489[/C][/ROW]
[ROW][C]92[/C][C]186930[/C][C]134170.057971014[/C][C]52759.9420289855[/C][/ROW]
[ROW][C]93[/C][C]7215[/C][C]11155.6842105263[/C][C]-3940.68421052631[/C][/ROW]
[ROW][C]94[/C][C]129098[/C][C]162369.425531915[/C][C]-33271.4255319149[/C][/ROW]
[ROW][C]95[/C][C]230587[/C][C]288770.769230769[/C][C]-58183.7692307692[/C][/ROW]
[ROW][C]96[/C][C]508313[/C][C]288770.769230769[/C][C]219542.230769231[/C][/ROW]
[ROW][C]97[/C][C]180745[/C][C]189333.542372881[/C][C]-8588.54237288135[/C][/ROW]
[ROW][C]98[/C][C]185559[/C][C]189333.542372881[/C][C]-3774.54237288135[/C][/ROW]
[ROW][C]99[/C][C]154581[/C][C]134170.057971014[/C][C]20410.9420289855[/C][/ROW]
[ROW][C]100[/C][C]290658[/C][C]189333.542372881[/C][C]101324.457627119[/C][/ROW]
[ROW][C]101[/C][C]121844[/C][C]162369.425531915[/C][C]-40525.4255319149[/C][/ROW]
[ROW][C]102[/C][C]184039[/C][C]189333.542372881[/C][C]-5294.54237288135[/C][/ROW]
[ROW][C]103[/C][C]100324[/C][C]162369.425531915[/C][C]-62045.4255319149[/C][/ROW]
[ROW][C]104[/C][C]209427[/C][C]189333.542372881[/C][C]20093.4576271187[/C][/ROW]
[ROW][C]105[/C][C]167592[/C][C]134170.057971014[/C][C]33421.9420289855[/C][/ROW]
[ROW][C]106[/C][C]154593[/C][C]162369.425531915[/C][C]-7776.42553191489[/C][/ROW]
[ROW][C]107[/C][C]142018[/C][C]189333.542372881[/C][C]-47315.5423728813[/C][/ROW]
[ROW][C]108[/C][C]77855[/C][C]48851[/C][C]29004[/C][/ROW]
[ROW][C]109[/C][C]167047[/C][C]189333.542372881[/C][C]-22286.5423728813[/C][/ROW]
[ROW][C]110[/C][C]27997[/C][C]48851[/C][C]-20854[/C][/ROW]
[ROW][C]111[/C][C]70824[/C][C]81275.8333333333[/C][C]-10451.8333333333[/C][/ROW]
[ROW][C]112[/C][C]241082[/C][C]189333.542372881[/C][C]51748.4576271187[/C][/ROW]
[ROW][C]113[/C][C]195820[/C][C]162369.425531915[/C][C]33450.5744680851[/C][/ROW]
[ROW][C]114[/C][C]141899[/C][C]134170.057971014[/C][C]7728.9420289855[/C][/ROW]
[ROW][C]115[/C][C]145433[/C][C]162369.425531915[/C][C]-16936.4255319149[/C][/ROW]
[ROW][C]116[/C][C]180241[/C][C]134170.057971014[/C][C]46070.9420289855[/C][/ROW]
[ROW][C]117[/C][C]202232[/C][C]288770.769230769[/C][C]-86538.7692307692[/C][/ROW]
[ROW][C]118[/C][C]190230[/C][C]189333.542372881[/C][C]896.457627118652[/C][/ROW]
[ROW][C]119[/C][C]354924[/C][C]288770.769230769[/C][C]66153.2307692308[/C][/ROW]
[ROW][C]120[/C][C]192399[/C][C]134170.057971014[/C][C]58228.9420289855[/C][/ROW]
[ROW][C]121[/C][C]182286[/C][C]189333.542372881[/C][C]-7047.54237288135[/C][/ROW]
[ROW][C]122[/C][C]181590[/C][C]189333.542372881[/C][C]-7743.54237288135[/C][/ROW]
[ROW][C]123[/C][C]133801[/C][C]162369.425531915[/C][C]-28568.4255319149[/C][/ROW]
[ROW][C]124[/C][C]233686[/C][C]288770.769230769[/C][C]-55084.7692307692[/C][/ROW]
[ROW][C]125[/C][C]219428[/C][C]189333.542372881[/C][C]30094.4576271187[/C][/ROW]
[ROW][C]126[/C][C]0[/C][C]11155.6842105263[/C][C]-11155.6842105263[/C][/ROW]
[ROW][C]127[/C][C]223044[/C][C]162369.425531915[/C][C]60674.5744680851[/C][/ROW]
[ROW][C]128[/C][C]100129[/C][C]134170.057971014[/C][C]-34041.0579710145[/C][/ROW]
[ROW][C]129[/C][C]136733[/C][C]134170.057971014[/C][C]2562.9420289855[/C][/ROW]
[ROW][C]130[/C][C]249965[/C][C]189333.542372881[/C][C]60631.4576271187[/C][/ROW]
[ROW][C]131[/C][C]242379[/C][C]189333.542372881[/C][C]53045.4576271187[/C][/ROW]
[ROW][C]132[/C][C]145794[/C][C]134170.057971014[/C][C]11623.9420289855[/C][/ROW]
[ROW][C]133[/C][C]96404[/C][C]81275.8333333333[/C][C]15128.1666666667[/C][/ROW]
[ROW][C]134[/C][C]195891[/C][C]189333.542372881[/C][C]6557.45762711865[/C][/ROW]
[ROW][C]135[/C][C]115335[/C][C]134170.057971014[/C][C]-18835.0579710145[/C][/ROW]
[ROW][C]136[/C][C]157787[/C][C]162369.425531915[/C][C]-4582.42553191489[/C][/ROW]
[ROW][C]137[/C][C]81293[/C][C]81275.8333333333[/C][C]17.1666666666715[/C][/ROW]
[ROW][C]138[/C][C]224049[/C][C]189333.542372881[/C][C]34715.4576271187[/C][/ROW]
[ROW][C]139[/C][C]223789[/C][C]162369.425531915[/C][C]61419.5744680851[/C][/ROW]
[ROW][C]140[/C][C]160344[/C][C]189333.542372881[/C][C]-28989.5423728813[/C][/ROW]
[ROW][C]141[/C][C]48188[/C][C]48851[/C][C]-663[/C][/ROW]
[ROW][C]142[/C][C]152206[/C][C]189333.542372881[/C][C]-37127.5423728813[/C][/ROW]
[ROW][C]143[/C][C]294283[/C][C]189333.542372881[/C][C]104949.457627119[/C][/ROW]
[ROW][C]144[/C][C]235223[/C][C]162369.425531915[/C][C]72853.5744680851[/C][/ROW]
[ROW][C]145[/C][C]195583[/C][C]189333.542372881[/C][C]6249.45762711865[/C][/ROW]
[ROW][C]146[/C][C]145942[/C][C]134170.057971014[/C][C]11771.9420289855[/C][/ROW]
[ROW][C]147[/C][C]208834[/C][C]162369.425531915[/C][C]46464.5744680851[/C][/ROW]
[ROW][C]148[/C][C]93764[/C][C]81275.8333333333[/C][C]12488.1666666667[/C][/ROW]
[ROW][C]149[/C][C]151985[/C][C]189333.542372881[/C][C]-37348.5423728813[/C][/ROW]
[ROW][C]150[/C][C]190545[/C][C]162369.425531915[/C][C]28175.5744680851[/C][/ROW]
[ROW][C]151[/C][C]148922[/C][C]134170.057971014[/C][C]14751.9420289855[/C][/ROW]
[ROW][C]152[/C][C]132856[/C][C]162369.425531915[/C][C]-29513.4255319149[/C][/ROW]
[ROW][C]153[/C][C]124234[/C][C]134170.057971014[/C][C]-9936.0579710145[/C][/ROW]
[ROW][C]154[/C][C]112718[/C][C]134170.057971014[/C][C]-21452.0579710145[/C][/ROW]
[ROW][C]155[/C][C]160930[/C][C]134170.057971014[/C][C]26759.9420289855[/C][/ROW]
[ROW][C]156[/C][C]99184[/C][C]134170.057971014[/C][C]-34986.0579710145[/C][/ROW]
[ROW][C]157[/C][C]182022[/C][C]189333.542372881[/C][C]-7311.54237288135[/C][/ROW]
[ROW][C]158[/C][C]138708[/C][C]189333.542372881[/C][C]-50625.5423728813[/C][/ROW]
[ROW][C]159[/C][C]114408[/C][C]134170.057971014[/C][C]-19762.0579710145[/C][/ROW]
[ROW][C]160[/C][C]31970[/C][C]11155.6842105263[/C][C]20814.3157894737[/C][/ROW]
[ROW][C]161[/C][C]225558[/C][C]162369.425531915[/C][C]63188.5744680851[/C][/ROW]
[ROW][C]162[/C][C]137011[/C][C]162369.425531915[/C][C]-25358.4255319149[/C][/ROW]
[ROW][C]163[/C][C]113612[/C][C]189333.542372881[/C][C]-75721.5423728813[/C][/ROW]
[ROW][C]164[/C][C]108641[/C][C]162369.425531915[/C][C]-53728.4255319149[/C][/ROW]
[ROW][C]165[/C][C]162203[/C][C]189333.542372881[/C][C]-27130.5423728813[/C][/ROW]
[ROW][C]166[/C][C]100098[/C][C]134170.057971014[/C][C]-34072.0579710145[/C][/ROW]
[ROW][C]167[/C][C]174768[/C][C]189333.542372881[/C][C]-14565.5423728813[/C][/ROW]
[ROW][C]168[/C][C]158459[/C][C]189333.542372881[/C][C]-30874.5423728813[/C][/ROW]
[ROW][C]169[/C][C]80934[/C][C]81275.8333333333[/C][C]-341.833333333328[/C][/ROW]
[ROW][C]170[/C][C]84971[/C][C]162369.425531915[/C][C]-77398.4255319149[/C][/ROW]
[ROW][C]171[/C][C]80545[/C][C]162369.425531915[/C][C]-81824.4255319149[/C][/ROW]
[ROW][C]172[/C][C]287191[/C][C]162369.425531915[/C][C]124821.574468085[/C][/ROW]
[ROW][C]173[/C][C]62974[/C][C]81275.8333333333[/C][C]-18301.8333333333[/C][/ROW]
[ROW][C]174[/C][C]130982[/C][C]134170.057971014[/C][C]-3188.0579710145[/C][/ROW]
[ROW][C]175[/C][C]75555[/C][C]134170.057971014[/C][C]-58615.0579710145[/C][/ROW]
[ROW][C]176[/C][C]162154[/C][C]134170.057971014[/C][C]27983.9420289855[/C][/ROW]
[ROW][C]177[/C][C]224670[/C][C]288770.769230769[/C][C]-64100.7692307692[/C][/ROW]
[ROW][C]178[/C][C]115019[/C][C]162369.425531915[/C][C]-47350.4255319149[/C][/ROW]
[ROW][C]179[/C][C]105038[/C][C]134170.057971014[/C][C]-29132.0579710145[/C][/ROW]
[ROW][C]180[/C][C]155537[/C][C]134170.057971014[/C][C]21366.9420289855[/C][/ROW]
[ROW][C]181[/C][C]153133[/C][C]134170.057971014[/C][C]18962.9420289855[/C][/ROW]
[ROW][C]182[/C][C]165577[/C][C]189333.542372881[/C][C]-23756.5423728813[/C][/ROW]
[ROW][C]183[/C][C]151517[/C][C]134170.057971014[/C][C]17346.9420289855[/C][/ROW]
[ROW][C]184[/C][C]133686[/C][C]134170.057971014[/C][C]-484.057971014496[/C][/ROW]
[ROW][C]185[/C][C]58128[/C][C]81275.8333333333[/C][C]-23147.8333333333[/C][/ROW]
[ROW][C]186[/C][C]245196[/C][C]288770.769230769[/C][C]-43574.7692307692[/C][/ROW]
[ROW][C]187[/C][C]195576[/C][C]189333.542372881[/C][C]6242.45762711865[/C][/ROW]
[ROW][C]188[/C][C]19349[/C][C]11155.6842105263[/C][C]8193.31578947369[/C][/ROW]
[ROW][C]189[/C][C]225371[/C][C]162369.425531915[/C][C]63001.5744680851[/C][/ROW]
[ROW][C]190[/C][C]152796[/C][C]162369.425531915[/C][C]-9573.42553191489[/C][/ROW]
[ROW][C]191[/C][C]59117[/C][C]81275.8333333333[/C][C]-22158.8333333333[/C][/ROW]
[ROW][C]192[/C][C]91762[/C][C]134170.057971014[/C][C]-42408.0579710145[/C][/ROW]
[ROW][C]193[/C][C]127987[/C][C]134170.057971014[/C][C]-6183.0579710145[/C][/ROW]
[ROW][C]194[/C][C]113552[/C][C]134170.057971014[/C][C]-20618.0579710145[/C][/ROW]
[ROW][C]195[/C][C]85338[/C][C]134170.057971014[/C][C]-48832.0579710145[/C][/ROW]
[ROW][C]196[/C][C]27676[/C][C]48851[/C][C]-21175[/C][/ROW]
[ROW][C]197[/C][C]147984[/C][C]189333.542372881[/C][C]-41349.5423728813[/C][/ROW]
[ROW][C]198[/C][C]122417[/C][C]134170.057971014[/C][C]-11753.0579710145[/C][/ROW]
[ROW][C]199[/C][C]0[/C][C]11155.6842105263[/C][C]-11155.6842105263[/C][/ROW]
[ROW][C]200[/C][C]91529[/C][C]134170.057971014[/C][C]-42641.0579710145[/C][/ROW]
[ROW][C]201[/C][C]107205[/C][C]81275.8333333333[/C][C]25929.1666666667[/C][/ROW]
[ROW][C]202[/C][C]144664[/C][C]134170.057971014[/C][C]10493.9420289855[/C][/ROW]
[ROW][C]203[/C][C]136540[/C][C]134170.057971014[/C][C]2369.9420289855[/C][/ROW]
[ROW][C]204[/C][C]76656[/C][C]134170.057971014[/C][C]-57514.0579710145[/C][/ROW]
[ROW][C]205[/C][C]3616[/C][C]11155.6842105263[/C][C]-7539.68421052631[/C][/ROW]
[ROW][C]206[/C][C]0[/C][C]11155.6842105263[/C][C]-11155.6842105263[/C][/ROW]
[ROW][C]207[/C][C]183065[/C][C]134170.057971014[/C][C]48894.9420289855[/C][/ROW]
[ROW][C]208[/C][C]144636[/C][C]189333.542372881[/C][C]-44697.5423728813[/C][/ROW]
[ROW][C]209[/C][C]152826[/C][C]162369.425531915[/C][C]-9543.42553191489[/C][/ROW]
[ROW][C]210[/C][C]113273[/C][C]134170.057971014[/C][C]-20897.0579710145[/C][/ROW]
[ROW][C]211[/C][C]43410[/C][C]48851[/C][C]-5441[/C][/ROW]
[ROW][C]212[/C][C]175774[/C][C]189333.542372881[/C][C]-13559.5423728813[/C][/ROW]
[ROW][C]213[/C][C]95401[/C][C]134170.057971014[/C][C]-38769.0579710145[/C][/ROW]
[ROW][C]214[/C][C]118893[/C][C]134170.057971014[/C][C]-15277.0579710145[/C][/ROW]
[ROW][C]215[/C][C]60493[/C][C]48851[/C][C]11642[/C][/ROW]
[ROW][C]216[/C][C]19764[/C][C]11155.6842105263[/C][C]8608.31578947369[/C][/ROW]
[ROW][C]217[/C][C]164062[/C][C]134170.057971014[/C][C]29891.9420289855[/C][/ROW]
[ROW][C]218[/C][C]132696[/C][C]134170.057971014[/C][C]-1474.0579710145[/C][/ROW]
[ROW][C]219[/C][C]155088[/C][C]134170.057971014[/C][C]20917.9420289855[/C][/ROW]
[ROW][C]220[/C][C]11796[/C][C]11155.6842105263[/C][C]640.315789473685[/C][/ROW]
[ROW][C]221[/C][C]10674[/C][C]11155.6842105263[/C][C]-481.684210526315[/C][/ROW]
[ROW][C]222[/C][C]142261[/C][C]134170.057971014[/C][C]8090.9420289855[/C][/ROW]
[ROW][C]223[/C][C]6836[/C][C]11155.6842105263[/C][C]-4319.68421052631[/C][/ROW]
[ROW][C]224[/C][C]154206[/C][C]134170.057971014[/C][C]20035.9420289855[/C][/ROW]
[ROW][C]225[/C][C]5118[/C][C]11155.6842105263[/C][C]-6037.68421052631[/C][/ROW]
[ROW][C]226[/C][C]40248[/C][C]11155.6842105263[/C][C]29092.3157894737[/C][/ROW]
[ROW][C]227[/C][C]0[/C][C]11155.6842105263[/C][C]-11155.6842105263[/C][/ROW]
[ROW][C]228[/C][C]122641[/C][C]134170.057971014[/C][C]-11529.0579710145[/C][/ROW]
[ROW][C]229[/C][C]88837[/C][C]81275.8333333333[/C][C]7561.16666666667[/C][/ROW]
[ROW][C]230[/C][C]7131[/C][C]11155.6842105263[/C][C]-4024.68421052631[/C][/ROW]
[ROW][C]231[/C][C]9056[/C][C]11155.6842105263[/C][C]-2099.68421052631[/C][/ROW]
[ROW][C]232[/C][C]76611[/C][C]81275.8333333333[/C][C]-4664.83333333333[/C][/ROW]
[ROW][C]233[/C][C]132697[/C][C]134170.057971014[/C][C]-1473.0579710145[/C][/ROW]
[ROW][C]234[/C][C]100681[/C][C]81275.8333333333[/C][C]19405.1666666667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158857&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158857&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	158258	162369.425531915	-4111.42553191489
2	186930	134170.057971014	52759.9420289855
3	7215	11155.6842105263	-3940.68421052631
4	129098	162369.425531915	-33271.4255319149
5	230587	288770.769230769	-58183.7692307692
6	508313	288770.769230769	219542.230769231
7	180745	189333.542372881	-8588.54237288135
8	185559	189333.542372881	-3774.54237288135
9	154581	134170.057971014	20410.9420289855
10	290658	189333.542372881	101324.457627119
11	121844	162369.425531915	-40525.4255319149
12	184039	189333.542372881	-5294.54237288135
13	100324	162369.425531915	-62045.4255319149
14	209427	189333.542372881	20093.4576271187
15	167592	134170.057971014	33421.9420289855
16	154593	162369.425531915	-7776.42553191489
17	142018	189333.542372881	-47315.5423728813
18	77855	48851	29004
19	167047	189333.542372881	-22286.5423728813
20	27997	48851	-20854
21	70824	81275.8333333333	-10451.8333333333
22	241082	189333.542372881	51748.4576271187
23	195820	162369.425531915	33450.5744680851
24	141899	134170.057971014	7728.9420289855
25	145433	162369.425531915	-16936.4255319149
26	180241	134170.057971014	46070.9420289855
27	202232	288770.769230769	-86538.7692307692
28	190230	189333.542372881	896.457627118652
29	354924	288770.769230769	66153.2307692308
30	192399	134170.057971014	58228.9420289855
31	182286	189333.542372881	-7047.54237288135
32	181590	189333.542372881	-7743.54237288135
33	133801	162369.425531915	-28568.4255319149
34	233686	288770.769230769	-55084.7692307692
35	219428	189333.542372881	30094.4576271187
36	0	11155.6842105263	-11155.6842105263
37	223044	162369.425531915	60674.5744680851
38	100129	134170.057971014	-34041.0579710145
39	136733	134170.057971014	2562.9420289855
40	249965	189333.542372881	60631.4576271187
41	242379	189333.542372881	53045.4576271187
42	145794	134170.057971014	11623.9420289855
43	96404	81275.8333333333	15128.1666666667
44	195891	189333.542372881	6557.45762711865
45	115335	134170.057971014	-18835.0579710145
46	157787	162369.425531915	-4582.42553191489
47	81293	81275.8333333333	17.1666666666715
48	224049	189333.542372881	34715.4576271187
49	223789	162369.425531915	61419.5744680851
50	160344	189333.542372881	-28989.5423728813
51	48188	48851	-663
52	152206	189333.542372881	-37127.5423728813
53	294283	189333.542372881	104949.457627119
54	235223	162369.425531915	72853.5744680851
55	195583	189333.542372881	6249.45762711865
56	145942	134170.057971014	11771.9420289855
57	208834	162369.425531915	46464.5744680851
58	93764	81275.8333333333	12488.1666666667
59	151985	189333.542372881	-37348.5423728813
60	190545	162369.425531915	28175.5744680851
61	148922	134170.057971014	14751.9420289855
62	132856	162369.425531915	-29513.4255319149
63	124234	134170.057971014	-9936.0579710145
64	112718	134170.057971014	-21452.0579710145
65	160930	134170.057971014	26759.9420289855
66	99184	134170.057971014	-34986.0579710145
67	182022	189333.542372881	-7311.54237288135
68	138708	189333.542372881	-50625.5423728813
69	114408	134170.057971014	-19762.0579710145
70	31970	11155.6842105263	20814.3157894737
71	225558	162369.425531915	63188.5744680851
72	137011	162369.425531915	-25358.4255319149
73	113612	189333.542372881	-75721.5423728813
74	108641	162369.425531915	-53728.4255319149
75	162203	189333.542372881	-27130.5423728813
76	100098	134170.057971014	-34072.0579710145
77	174768	189333.542372881	-14565.5423728813
78	158459	189333.542372881	-30874.5423728813
79	80934	81275.8333333333	-341.833333333328
80	84971	162369.425531915	-77398.4255319149
81	80545	162369.425531915	-81824.4255319149
82	287191	162369.425531915	124821.574468085
83	62974	81275.8333333333	-18301.8333333333
84	130982	134170.057971014	-3188.0579710145
85	75555	134170.057971014	-58615.0579710145
86	162154	134170.057971014	27983.9420289855
87	224670	288770.769230769	-64100.7692307692
88	115019	162369.425531915	-47350.4255319149
89	105038	134170.057971014	-29132.0579710145
90	155537	134170.057971014	21366.9420289855
91	158258	162369.425531915	-4111.42553191489
92	186930	134170.057971014	52759.9420289855
93	7215	11155.6842105263	-3940.68421052631
94	129098	162369.425531915	-33271.4255319149
95	230587	288770.769230769	-58183.7692307692
96	508313	288770.769230769	219542.230769231
97	180745	189333.542372881	-8588.54237288135
98	185559	189333.542372881	-3774.54237288135
99	154581	134170.057971014	20410.9420289855
100	290658	189333.542372881	101324.457627119
101	121844	162369.425531915	-40525.4255319149
102	184039	189333.542372881	-5294.54237288135
103	100324	162369.425531915	-62045.4255319149
104	209427	189333.542372881	20093.4576271187
105	167592	134170.057971014	33421.9420289855
106	154593	162369.425531915	-7776.42553191489
107	142018	189333.542372881	-47315.5423728813
108	77855	48851	29004
109	167047	189333.542372881	-22286.5423728813
110	27997	48851	-20854
111	70824	81275.8333333333	-10451.8333333333
112	241082	189333.542372881	51748.4576271187
113	195820	162369.425531915	33450.5744680851
114	141899	134170.057971014	7728.9420289855
115	145433	162369.425531915	-16936.4255319149
116	180241	134170.057971014	46070.9420289855
117	202232	288770.769230769	-86538.7692307692
118	190230	189333.542372881	896.457627118652
119	354924	288770.769230769	66153.2307692308
120	192399	134170.057971014	58228.9420289855
121	182286	189333.542372881	-7047.54237288135
122	181590	189333.542372881	-7743.54237288135
123	133801	162369.425531915	-28568.4255319149
124	233686	288770.769230769	-55084.7692307692
125	219428	189333.542372881	30094.4576271187
126	0	11155.6842105263	-11155.6842105263
127	223044	162369.425531915	60674.5744680851
128	100129	134170.057971014	-34041.0579710145
129	136733	134170.057971014	2562.9420289855
130	249965	189333.542372881	60631.4576271187
131	242379	189333.542372881	53045.4576271187
132	145794	134170.057971014	11623.9420289855
133	96404	81275.8333333333	15128.1666666667
134	195891	189333.542372881	6557.45762711865
135	115335	134170.057971014	-18835.0579710145
136	157787	162369.425531915	-4582.42553191489
137	81293	81275.8333333333	17.1666666666715
138	224049	189333.542372881	34715.4576271187
139	223789	162369.425531915	61419.5744680851
140	160344	189333.542372881	-28989.5423728813
141	48188	48851	-663
142	152206	189333.542372881	-37127.5423728813
143	294283	189333.542372881	104949.457627119
144	235223	162369.425531915	72853.5744680851
145	195583	189333.542372881	6249.45762711865
146	145942	134170.057971014	11771.9420289855
147	208834	162369.425531915	46464.5744680851
148	93764	81275.8333333333	12488.1666666667
149	151985	189333.542372881	-37348.5423728813
150	190545	162369.425531915	28175.5744680851
151	148922	134170.057971014	14751.9420289855
152	132856	162369.425531915	-29513.4255319149
153	124234	134170.057971014	-9936.0579710145
154	112718	134170.057971014	-21452.0579710145
155	160930	134170.057971014	26759.9420289855
156	99184	134170.057971014	-34986.0579710145
157	182022	189333.542372881	-7311.54237288135
158	138708	189333.542372881	-50625.5423728813
159	114408	134170.057971014	-19762.0579710145
160	31970	11155.6842105263	20814.3157894737
161	225558	162369.425531915	63188.5744680851
162	137011	162369.425531915	-25358.4255319149
163	113612	189333.542372881	-75721.5423728813
164	108641	162369.425531915	-53728.4255319149
165	162203	189333.542372881	-27130.5423728813
166	100098	134170.057971014	-34072.0579710145
167	174768	189333.542372881	-14565.5423728813
168	158459	189333.542372881	-30874.5423728813
169	80934	81275.8333333333	-341.833333333328
170	84971	162369.425531915	-77398.4255319149
171	80545	162369.425531915	-81824.4255319149
172	287191	162369.425531915	124821.574468085
173	62974	81275.8333333333	-18301.8333333333
174	130982	134170.057971014	-3188.0579710145
175	75555	134170.057971014	-58615.0579710145
176	162154	134170.057971014	27983.9420289855
177	224670	288770.769230769	-64100.7692307692
178	115019	162369.425531915	-47350.4255319149
179	105038	134170.057971014	-29132.0579710145
180	155537	134170.057971014	21366.9420289855
181	153133	134170.057971014	18962.9420289855
182	165577	189333.542372881	-23756.5423728813
183	151517	134170.057971014	17346.9420289855
184	133686	134170.057971014	-484.057971014496
185	58128	81275.8333333333	-23147.8333333333
186	245196	288770.769230769	-43574.7692307692
187	195576	189333.542372881	6242.45762711865
188	19349	11155.6842105263	8193.31578947369
189	225371	162369.425531915	63001.5744680851
190	152796	162369.425531915	-9573.42553191489
191	59117	81275.8333333333	-22158.8333333333
192	91762	134170.057971014	-42408.0579710145
193	127987	134170.057971014	-6183.0579710145
194	113552	134170.057971014	-20618.0579710145
195	85338	134170.057971014	-48832.0579710145
196	27676	48851	-21175
197	147984	189333.542372881	-41349.5423728813
198	122417	134170.057971014	-11753.0579710145
199	0	11155.6842105263	-11155.6842105263
200	91529	134170.057971014	-42641.0579710145
201	107205	81275.8333333333	25929.1666666667
202	144664	134170.057971014	10493.9420289855
203	136540	134170.057971014	2369.9420289855
204	76656	134170.057971014	-57514.0579710145
205	3616	11155.6842105263	-7539.68421052631
206	0	11155.6842105263	-11155.6842105263
207	183065	134170.057971014	48894.9420289855
208	144636	189333.542372881	-44697.5423728813
209	152826	162369.425531915	-9543.42553191489
210	113273	134170.057971014	-20897.0579710145
211	43410	48851	-5441
212	175774	189333.542372881	-13559.5423728813
213	95401	134170.057971014	-38769.0579710145
214	118893	134170.057971014	-15277.0579710145
215	60493	48851	11642
216	19764	11155.6842105263	8608.31578947369
217	164062	134170.057971014	29891.9420289855
218	132696	134170.057971014	-1474.0579710145
219	155088	134170.057971014	20917.9420289855
220	11796	11155.6842105263	640.315789473685
221	10674	11155.6842105263	-481.684210526315
222	142261	134170.057971014	8090.9420289855
223	6836	11155.6842105263	-4319.68421052631
224	154206	134170.057971014	20035.9420289855
225	5118	11155.6842105263	-6037.68421052631
226	40248	11155.6842105263	29092.3157894737
227	0	11155.6842105263	-11155.6842105263
228	122641	134170.057971014	-11529.0579710145
229	88837	81275.8333333333	7561.16666666667
230	7131	11155.6842105263	-4024.68421052631
231	9056	11155.6842105263	-2099.68421052631
232	76611	81275.8333333333	-4664.83333333333
233	132697	134170.057971014	-1473.0579710145
234	100681	81275.8333333333	19405.1666666667

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