Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_regression_trees1.wasp
Title produced by softwareRecursive Partitioning (Regression Trees)
Date of computationTue, 20 Dec 2011 04:57:01 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/20/t1324375065r849khld0ku50bo.htm/, Retrieved Mon, 06 May 2024 07:56:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=157860, Retrieved Mon, 06 May 2024 07:56:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Recursive Partitioning (Regression Trees)] [Regression Trees] [2011-12-20 09:57:01] [51aabe75794be7f34bed5d3096a085df] [Current]
Feedback Forum

Post a new message
Dataseries X:
112285	1418	30	145	0
84786	869	28	101	0
83123	1530	38	98	0
101193	2172	30	132	0
38361	901	22	60	0
68504	463	26	38	0
119182	3201	25	144	0
22807	371	18	5	0
17140	1192	11	28	1
116174	1583	26	84	0
57635	1439	25	79	0
66198	1764	38	127	0
71701	1495	44	78	0
57793	1373	30	60	0
80444	2187	40	131	0
53855	1491	34	84	0
97668	4041	47	133	0
133824	1706	30	150	0
101481	2152	31	91	0
99645	1036	23	132	0
114789	1882	36	136	0
99052	1929	36	124	0
67654	2242	30	118	0
65553	1220	25	70	0
97500	1289	39	107	0
69112	2515	34	119	0
82753	2147	31	89	0
85323	2352	31	112	0
72654	1638	33	108	0
30727	1222	25	52	0
77873	1812	33	112	0
117478	1677	35	116	0
74007	1579	42	123	0
90183	1731	43	125	0
61542	807	30	27	0
101494	2452	33	162	0
27570	829	13	32	1
55813	1940	32	64	0
79215	2662	36	92	0
1423	186	0	0	1
55461	1499	28	83	0
31081	865	14	41	0
22996	1793	17	47	1
83122	2527	32	120	0
70106	2747	30	105	0
60578	1324	35	79	0
39992	2702	20	65	1
79892	1383	28	70	0
49810	1179	28	55	0
71570	2099	39	39	0
100708	4308	34	67	0
33032	918	26	21	0
82875	1831	39	127	0
139077	3373	39	152	0
71595	1713	33	113	0
72260	1438	28	99	0
5950	496	4	7	0
115762	2253	39	141	0
32551	744	18	21	0
31701	1161	14	35	0
80670	2352	29	109	0
143558	2144	44	133	0
117105	4691	21	123	1
23789	1112	16	26	1
120733	2694	28	230	0
105195	1973	35	166	0
73107	1769	28	68	0
132068	3148	38	147	0
149193	2474	23	179	0
46821	2084	36	61	0
87011	1954	32	101	0
95260	1226	29	108	0
55183	1389	25	90	0
106671	1496	27	114	0
73511	2269	36	103	0
92945	1833	28	142	0
78664	1268	23	79	0
70054	1943	40	88	0
22618	893	23	25	0
74011	1762	40	83	0
83737	1403	28	113	0
69094	1425	34	118	0
93133	1857	33	110	0
95536	1840	28	129	0
225920	1502	34	51	0
62133	1441	30	93	0
61370	1420	33	76	0
43836	1416	22	49	0
106117	2970	38	118	0
38692	1317	26	38	0
84651	1644	35	141	0
56622	870	8	58	0
15986	1654	24	27	0
95364	1054	29	91	0
26706	937	20	48	1
89691	3004	29	63	0
67267	2008	45	56	0
126846	2547	37	144	0
41140	1885	33	73	0
102860	1626	33	168	0
51715	1468	25	64	0
55801	2445	32	97	0
111813	1964	29	117	0
120293	1381	28	100	0
138599	1369	28	149	0
161647	1659	31	187	0
115929	2888	52	127	0
24266	1290	21	37	1
162901	2845	24	245	0
109825	1982	41	87	0
129838	1904	33	177	0
37510	1391	32	49	0
43750	602	19	49	0
40652	1743	20	73	0
87771	1559	31	177	0
85872	2014	31	94	0
89275	2143	32	117	0
44418	2146	18	60	1
192565	874	23	55	0
35232	1590	17	39	1
40909	1590	20	64	1
13294	1210	12	26	1
32387	2072	17	64	1
140867	1281	30	58	0
120662	1401	31	95	0
21233	834	10	25	1
44332	1105	13	26	1
61056	1272	22	76	1
101338	1944	42	129	0
1168	391	1	11	0
13497	761	9	2	1
65567	1605	32	101	0
25162	530	11	28	0
32334	1988	25	36	1
40735	1386	36	89	0
91413	2395	31	193	0
855	387	0	4	0
97068	1742	24	84	0
44339	620	13	23	1
14116	449	8	39	0
10288	800	13	14	1
65622	1684	19	78	1
16563	1050	18	14	1
76643	2699	33	101	0
110681	1606	40	82	0
29011	1502	22	24	1
92696	1204	38	36	0
94785	1138	24	75	0
8773	568	8	16	0
83209	1459	35	55	0
93815	2158	43	131	0
86687	1111	43	131	0
34553	1421	14	39	1
105547	2833	41	144	0
103487	1955	38	139	0
213688	2922	45	211	0
71220	1002	31	78	0
23517	1060	13	50	1
56926	956	28	39	0
91721	2186	31	90	0
115168	3604	40	166	0
111194	1035	30	12	0
51009	1417	16	57	1
135777	3261	37	133	0
51513	1587	30	69	0
74163	1424	35	119	0
51633	1701	32	119	0
75345	1249	27	65	0
33416	946	20	61	1
83305	1926	18	49	1
98952	3352	31	101	0
102372	1641	31	196	0
37238	2035	21	15	0
103772	2312	39	136	0
123969	1369	41	89	0
27142	1577	13	40	1
135400	2201	32	123	0
21399	961	18	21	1
130115	1900	39	163	0
24874	1254	14	29	1
34988	1335	7	35	1
45549	1597	17	13	1
6023	207	0	5	0
64466	1645	30	96	0
54990	2429	37	151	0
1644	151	0	6	0
6179	474	5	13	0
3926	141	1	3	0
32755	1639	16	56	1
34777	872	32	23	0
73224	1318	24	57	0
27114	1018	17	14	1
20760	1383	11	43	1
37636	1314	24	20	1
65461	1335	22	72	1
30080	1403	12	87	1
24094	910	19	21	1
69008	616	13	56	1
54968	1407	17	59	1
46090	771	15	82	1
27507	766	16	43	1
10672	473	24	25	1
34029	1376	15	38	1
46300	1232	17	25	1
24760	1521	18	38	1
18779	572	20	12	1
21280	1059	16	29	1
40662	1544	16	47	1
28987	1230	18	45	1
22827	1206	22	40	1
18513	1205	8	30	1
30594	1255	17	41	1
24006	613	18	25	1
27913	721	16	23	1
42744	1109	23	14	1
12934	740	22	16	1
22574	1126	13	26	1
41385	728	13	21	1
18653	689	16	27	1
18472	592	16	9	1
30976	995	20	33	1
63339	1613	22	42	1
25568	2048	17	68	1
33747	705	18	32	1
4154	301	17	6	1
19474	1803	12	67	1
35130	799	7	33	1
39067	861	17	77	1
13310	1186	14	46	1
65892	1451	23	30	1
4143	628	17	0	1
28579	1161	14	36	1
51776	1463	15	46	1
21152	742	17	18	1
38084	979	21	48	1
27717	675	18	29	1
32928	1241	18	28	1
11342	676	17	34	1
19499	1049	17	33	1
16380	620	16	34	1
36874	1081	15	33	1
48259	1688	21	80	1
16734	736	16	32	1
28207	617	14	30	1
30143	812	15	41	1
41369	1051	17	41	1
45833	1656	15	51	1
29156	705	15	18	1
35944	945	10	34	1
36278	554	6	31	1
45588	1597	22	39	1
45097	982	21	54	1
3895	222	1	14	1
28394	1212	18	24	1
18632	1143	17	24	1
2325	435	4	8	1
25139	532	10	26	1
27975	882	16	19	1
14483	608	16	11	1
13127	459	9	14	1
5839	578	16	1	1
24069	826	17	39	1
3738	509	7	5	1
18625	717	15	37	1
36341	637	14	32	1
24548	857	14	38	1
21792	830	18	47	1
26263	652	12	47	1
23686	707	16	37	1
49303	954	21	51	1
25659	1461	19	45	1
28904	672	16	21	1
2781	778	1	1	1
29236	1141	16	42	1
19546	680	10	26	1
22818	1090	19	21	1
32689	616	12	4	1
5752	285	2	10	1
22197	1145	14	43	1
20055	733	17	34	1
25272	888	19	31	1
82206	849	14	19	1
32073	1182	11	34	1
5444	528	4	6	1
20154	642	16	11	1
36944	947	20	24	1
8019	819	12	16	1
30884	757	15	72	1
19540	894	16	21	1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 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 & 5 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157860&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157860&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157860&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Goodness of Fit
Correlation0.8548
R-squared0.7307
RMSE20941.5846

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.8548 \tabularnewline
R-squared & 0.7307 \tabularnewline
RMSE & 20941.5846 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157860&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.8548[/C][/ROW]
[ROW][C]R-squared[/C][C]0.7307[/C][/ROW]
[ROW][C]RMSE[/C][C]20941.5846[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157860&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157860&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
Correlation0.8548
R-squared0.7307
RMSE20941.5846







Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
1112285106666.8755618.125
28478681072.60493827163713.3950617284
38312381072.60493827162050.3950617284
4101193106666.875-5473.875
53836181072.6049382716-42711.6049382716
66850460644.37859.7
7119182106666.87512515.125
8228076288.7777777777816518.2222222222
91714028041.1948051948-10901.1948051948
1011617481072.604938271635101.3950617284
115763581072.6049382716-23437.6049382716
1266198106666.875-40468.875
137170181072.6049382716-9371.6049382716
145779381072.6049382716-23279.6049382716
1580444106666.875-26222.875
165385581072.6049382716-27217.6049382716
1797668106666.875-8998.875
18133824106666.87527157.125
1910148181072.604938271620408.3950617284
2099645106666.875-7021.875
21114789106666.8758122.125
2299052106666.875-7614.875
236765481072.6049382716-13418.6049382716
246555381072.6049382716-15519.6049382716
259750081072.604938271616427.3950617284
266911281072.6049382716-11960.6049382716
278275381072.60493827161680.3950617284
288532381072.60493827164250.3950617284
297265481072.6049382716-8418.6049382716
303072781072.6049382716-50345.6049382716
317787381072.6049382716-3199.6049382716
3211747881072.604938271636405.3950617284
3374007106666.875-32659.875
3490183106666.875-16483.875
356154260644.3897.699999999997
36101494106666.875-5172.875
372757028041.1948051948-471.194805194806
385581381072.6049382716-25259.6049382716
397921581072.6049382716-1857.6049382716
4014236288.77777777778-4865.77777777778
415546181072.6049382716-25611.6049382716
423108128041.19480519483039.80519480519
432299640269.8888888889-17273.8888888889
448312281072.60493827162049.3950617284
457010681072.6049382716-10966.6049382716
466057881072.6049382716-20494.6049382716
473999244120.7272727273-4128.72727272727
487989281072.6049382716-1180.6049382716
494981081072.6049382716-31262.6049382716
507157060644.310925.7
5110070881072.604938271619635.3950617284
523303260644.3-27612.3
5382875106666.875-23791.875
54139077106666.87532410.125
557159581072.6049382716-9477.6049382716
567226081072.6049382716-8812.6049382716
5759506288.77777777778-338.777777777777
58115762106666.8759095.125
593255128041.19480519484509.80519480519
603170128041.19480519483659.80519480519
618067081072.6049382716-402.604938271601
62143558106666.87536891.125
63117105106666.87510438.125
642378928041.1948051948-4252.19480519481
65120733143135.285714286-22402.2857142857
66105195106666.875-1471.875
677310781072.6049382716-7965.6049382716
68132068106666.87525401.125
69149193143135.2857142866057.71428571429
704682181072.6049382716-34251.6049382716
718701181072.60493827165938.3950617284
729526081072.604938271614187.3950617284
735518381072.6049382716-25889.6049382716
7410667181072.604938271625598.3950617284
757351181072.6049382716-7561.6049382716
7692945106666.875-13721.875
777866481072.6049382716-2408.6049382716
787005481072.6049382716-11018.6049382716
792261828041.1948051948-5423.19480519481
807401181072.6049382716-7061.6049382716
818373781072.60493827162664.3950617284
826909481072.6049382716-11978.6049382716
839313381072.604938271612060.3950617284
8495536106666.875-11130.875
8522592081072.6049382716144847.395061728
866213381072.6049382716-18939.6049382716
876137081072.6049382716-19702.6049382716
884383640269.88888888893566.11111111111
8910611781072.604938271625044.3950617284
903869260644.3-21952.3
9184651106666.875-22015.875
925662281072.6049382716-24450.6049382716
931598640269.8888888889-24283.8888888889
949536481072.604938271614291.3950617284
952670628041.1948051948-1335.19480519481
968969181072.60493827168618.3950617284
976726781072.6049382716-13805.6049382716
98126846106666.87520179.125
994114081072.6049382716-39932.6049382716
100102860106666.875-3806.875
1015171581072.6049382716-29357.6049382716
1025580181072.6049382716-25271.6049382716
10311181381072.604938271630740.3950617284
10412029381072.604938271639220.3950617284
105138599106666.87531932.125
106161647143135.28571428618511.7142857143
107115929106666.8759262.125
1082426628041.1948051948-3775.19480519481
109162901143135.28571428619765.7142857143
11010982581072.604938271628752.3950617284
111129838106666.87523171.125
1123751060644.3-23134.3
1134375028041.194805194815708.8051948052
1144065281072.6049382716-40420.6049382716
11587771106666.875-18895.875
1168587281072.60493827164799.3950617284
1178927581072.60493827168202.3950617284
1184441844120.7272727273297.272727272728
11919256581072.6049382716111492.395061728
1203523240269.8888888889-5037.88888888889
1214090944120.7272727273-3211.72727272727
1221329428041.1948051948-14747.1948051948
1233238744120.7272727273-11733.7272727273
12414086781072.604938271659794.3950617284
12512066281072.604938271639589.3950617284
1262123328041.1948051948-6808.19480519481
1274433228041.194805194816290.8051948052
1286105644120.727272727316935.2727272727
129101338106666.875-5328.875
13011686288.77777777778-5120.77777777778
1311349716079.5-2582.5
1326556781072.6049382716-15505.6049382716
1332516228041.1948051948-2879.19480519481
1343233440269.8888888889-7935.88888888889
1354073581072.6049382716-40337.6049382716
13691413143135.285714286-51722.2857142857
1378556288.77777777778-5433.77777777778
1389706881072.604938271615995.3950617284
1394433928041.194805194816297.8051948052
140141166288.777777777787827.22222222222
1411028816079.5-5791.5
1426562244120.727272727321501.2727272727
1431656316079.5483.5
1447664381072.6049382716-4429.6049382716
14511068181072.604938271629608.3950617284
1462901140269.8888888889-11258.8888888889
1479269660644.332051.7
1489478581072.604938271613712.3950617284
149877316079.5-7306.5
1508320981072.60493827162136.3950617284
15193815106666.875-12851.875
15286687106666.875-19979.875
1533455340269.8888888889-5716.88888888889
154105547106666.875-1119.875
155103487106666.875-3179.875
156213688143135.28571428670552.7142857143
1577122081072.6049382716-9852.6049382716
1582351728041.1948051948-4524.19480519481
1595692660644.3-3718.3
1609172181072.604938271610648.3950617284
161115168106666.8758501.125
16211119460644.350549.7
1635100944120.72727272736888.27272727273
164135777106666.87529110.125
1655151381072.6049382716-29559.6049382716
1667416381072.6049382716-6909.6049382716
1675163381072.6049382716-29439.6049382716
1687534581072.6049382716-5727.6049382716
1693341644120.7272727273-10704.7272727273
1708330540269.888888888943035.1111111111
1719895281072.604938271617879.3950617284
172102372143135.285714286-40763.2857142857
1733723840269.8888888889-3031.88888888889
174103772106666.875-2894.875
17512396981072.604938271642896.3950617284
1762714240269.8888888889-13127.8888888889
177135400106666.87528733.125
1782139928041.1948051948-6642.19480519481
179130115106666.87523448.125
1802487428041.1948051948-3167.19480519481
1813498828041.19480519486946.80519480519
1824554940269.88888888895279.11111111111
18360236288.77777777778-265.777777777777
1846446681072.6049382716-16606.6049382716
18554990106666.875-51676.875
18616446288.77777777778-4644.77777777778
18761796288.77777777778-109.777777777777
18839266288.77777777778-2362.77777777778
1893275544120.7272727273-11365.7272727273
1903477760644.3-25867.3
1917322481072.6049382716-7848.6049382716
1922711416079.511034.5
1932076028041.1948051948-7281.19480519481
1943763628041.19480519489594.80519480519
1956546144120.727272727321340.2727272727
1963008044120.7272727273-14040.7272727273
1972409428041.1948051948-3947.19480519481
1986900844120.727272727324887.2727272727
1995496844120.727272727310847.2727272727
2004609044120.72727272731969.27272727273
2012750728041.1948051948-534.194805194806
202106726288.777777777784383.22222222222
2033402928041.19480519485987.80519480519
2044630028041.194805194818258.8051948052
2052476040269.8888888889-15509.8888888889
2061877916079.52699.5
2072128028041.1948051948-6761.19480519481
2084066240269.8888888889392.111111111109
2092898728041.1948051948945.805194805194
2102282728041.1948051948-5214.19480519481
2111851328041.1948051948-9528.19480519481
2123059428041.19480519482552.80519480519
2132400628041.1948051948-4035.19480519481
2142791328041.1948051948-128.194805194806
2154274416079.526664.5
2161293416079.5-3145.5
2172257428041.1948051948-5467.19480519481
2184138528041.194805194813343.8051948052
2191865328041.1948051948-9388.19480519481
2201847216079.52392.5
2213097628041.19480519482934.80519480519
2226333940269.888888888923069.1111111111
2232556844120.7272727273-18552.7272727273
2243374728041.19480519485705.80519480519
22541546288.77777777778-2134.77777777778
2261947444120.7272727273-24646.7272727273
2273513028041.19480519487088.80519480519
2283906744120.7272727273-5053.72727272727
2291331028041.1948051948-14731.1948051948
2306589240269.888888888925622.1111111111
231414316079.5-11936.5
2322857928041.1948051948537.805194805194
2335177640269.888888888911506.1111111111
2342115228041.1948051948-6889.19480519481
2353808428041.194805194810042.8051948052
2362771728041.1948051948-324.194805194806
2373292828041.19480519484886.80519480519
2381134228041.1948051948-16699.1948051948
2391949928041.1948051948-8542.19480519481
2401638028041.1948051948-11661.1948051948
2413687428041.19480519488832.80519480519
2424825944120.72727272734138.27272727273
2431673428041.1948051948-11307.1948051948
2442820728041.1948051948165.805194805194
2453014328041.19480519482101.80519480519
2464136928041.194805194813327.8051948052
2474583344120.72727272731712.27272727273
2482915628041.19480519481114.80519480519
2493594428041.19480519487902.80519480519
2503627828041.19480519488236.80519480519
2514558840269.88888888895318.11111111111
2524509744120.7272727273976.272727272728
25338956288.77777777778-2393.77777777778
2542839428041.1948051948352.805194805194
2551863228041.1948051948-9409.19480519481
25623256288.77777777778-3963.77777777778
2572513928041.1948051948-2902.19480519481
2582797528041.1948051948-66.1948051948057
2591448316079.5-1596.5
260131276288.777777777786838.22222222222
261583916079.5-10240.5
2622406928041.1948051948-3972.19480519481
26337386288.77777777778-2550.77777777778
2641862528041.1948051948-9416.19480519481
2653634128041.19480519488299.80519480519
2662454828041.1948051948-3493.19480519481
2672179228041.1948051948-6249.19480519481
2682626328041.1948051948-1778.19480519481
2692368628041.1948051948-4355.19480519481
2704930344120.72727272735182.27272727273
2712565940269.8888888889-14610.8888888889
2722890428041.1948051948862.805194805194
273278116079.5-13298.5
2742923628041.19480519481194.80519480519
2751954628041.1948051948-8495.19480519481
2762281828041.1948051948-5223.19480519481
2773268916079.516609.5
27857526288.77777777778-536.777777777777
2792219728041.1948051948-5844.19480519481
2802005528041.1948051948-7986.19480519481
2812527228041.1948051948-2769.19480519481
2828220628041.194805194854164.8051948052
2833207328041.19480519484031.80519480519
28454446288.77777777778-844.777777777777
2852015416079.54074.5
2863694428041.19480519488902.80519480519
287801916079.5-8060.5
2883088444120.7272727273-13236.7272727273
2891954028041.1948051948-8501.19480519481

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 112285 & 106666.875 & 5618.125 \tabularnewline
2 & 84786 & 81072.6049382716 & 3713.3950617284 \tabularnewline
3 & 83123 & 81072.6049382716 & 2050.3950617284 \tabularnewline
4 & 101193 & 106666.875 & -5473.875 \tabularnewline
5 & 38361 & 81072.6049382716 & -42711.6049382716 \tabularnewline
6 & 68504 & 60644.3 & 7859.7 \tabularnewline
7 & 119182 & 106666.875 & 12515.125 \tabularnewline
8 & 22807 & 6288.77777777778 & 16518.2222222222 \tabularnewline
9 & 17140 & 28041.1948051948 & -10901.1948051948 \tabularnewline
10 & 116174 & 81072.6049382716 & 35101.3950617284 \tabularnewline
11 & 57635 & 81072.6049382716 & -23437.6049382716 \tabularnewline
12 & 66198 & 106666.875 & -40468.875 \tabularnewline
13 & 71701 & 81072.6049382716 & -9371.6049382716 \tabularnewline
14 & 57793 & 81072.6049382716 & -23279.6049382716 \tabularnewline
15 & 80444 & 106666.875 & -26222.875 \tabularnewline
16 & 53855 & 81072.6049382716 & -27217.6049382716 \tabularnewline
17 & 97668 & 106666.875 & -8998.875 \tabularnewline
18 & 133824 & 106666.875 & 27157.125 \tabularnewline
19 & 101481 & 81072.6049382716 & 20408.3950617284 \tabularnewline
20 & 99645 & 106666.875 & -7021.875 \tabularnewline
21 & 114789 & 106666.875 & 8122.125 \tabularnewline
22 & 99052 & 106666.875 & -7614.875 \tabularnewline
23 & 67654 & 81072.6049382716 & -13418.6049382716 \tabularnewline
24 & 65553 & 81072.6049382716 & -15519.6049382716 \tabularnewline
25 & 97500 & 81072.6049382716 & 16427.3950617284 \tabularnewline
26 & 69112 & 81072.6049382716 & -11960.6049382716 \tabularnewline
27 & 82753 & 81072.6049382716 & 1680.3950617284 \tabularnewline
28 & 85323 & 81072.6049382716 & 4250.3950617284 \tabularnewline
29 & 72654 & 81072.6049382716 & -8418.6049382716 \tabularnewline
30 & 30727 & 81072.6049382716 & -50345.6049382716 \tabularnewline
31 & 77873 & 81072.6049382716 & -3199.6049382716 \tabularnewline
32 & 117478 & 81072.6049382716 & 36405.3950617284 \tabularnewline
33 & 74007 & 106666.875 & -32659.875 \tabularnewline
34 & 90183 & 106666.875 & -16483.875 \tabularnewline
35 & 61542 & 60644.3 & 897.699999999997 \tabularnewline
36 & 101494 & 106666.875 & -5172.875 \tabularnewline
37 & 27570 & 28041.1948051948 & -471.194805194806 \tabularnewline
38 & 55813 & 81072.6049382716 & -25259.6049382716 \tabularnewline
39 & 79215 & 81072.6049382716 & -1857.6049382716 \tabularnewline
40 & 1423 & 6288.77777777778 & -4865.77777777778 \tabularnewline
41 & 55461 & 81072.6049382716 & -25611.6049382716 \tabularnewline
42 & 31081 & 28041.1948051948 & 3039.80519480519 \tabularnewline
43 & 22996 & 40269.8888888889 & -17273.8888888889 \tabularnewline
44 & 83122 & 81072.6049382716 & 2049.3950617284 \tabularnewline
45 & 70106 & 81072.6049382716 & -10966.6049382716 \tabularnewline
46 & 60578 & 81072.6049382716 & -20494.6049382716 \tabularnewline
47 & 39992 & 44120.7272727273 & -4128.72727272727 \tabularnewline
48 & 79892 & 81072.6049382716 & -1180.6049382716 \tabularnewline
49 & 49810 & 81072.6049382716 & -31262.6049382716 \tabularnewline
50 & 71570 & 60644.3 & 10925.7 \tabularnewline
51 & 100708 & 81072.6049382716 & 19635.3950617284 \tabularnewline
52 & 33032 & 60644.3 & -27612.3 \tabularnewline
53 & 82875 & 106666.875 & -23791.875 \tabularnewline
54 & 139077 & 106666.875 & 32410.125 \tabularnewline
55 & 71595 & 81072.6049382716 & -9477.6049382716 \tabularnewline
56 & 72260 & 81072.6049382716 & -8812.6049382716 \tabularnewline
57 & 5950 & 6288.77777777778 & -338.777777777777 \tabularnewline
58 & 115762 & 106666.875 & 9095.125 \tabularnewline
59 & 32551 & 28041.1948051948 & 4509.80519480519 \tabularnewline
60 & 31701 & 28041.1948051948 & 3659.80519480519 \tabularnewline
61 & 80670 & 81072.6049382716 & -402.604938271601 \tabularnewline
62 & 143558 & 106666.875 & 36891.125 \tabularnewline
63 & 117105 & 106666.875 & 10438.125 \tabularnewline
64 & 23789 & 28041.1948051948 & -4252.19480519481 \tabularnewline
65 & 120733 & 143135.285714286 & -22402.2857142857 \tabularnewline
66 & 105195 & 106666.875 & -1471.875 \tabularnewline
67 & 73107 & 81072.6049382716 & -7965.6049382716 \tabularnewline
68 & 132068 & 106666.875 & 25401.125 \tabularnewline
69 & 149193 & 143135.285714286 & 6057.71428571429 \tabularnewline
70 & 46821 & 81072.6049382716 & -34251.6049382716 \tabularnewline
71 & 87011 & 81072.6049382716 & 5938.3950617284 \tabularnewline
72 & 95260 & 81072.6049382716 & 14187.3950617284 \tabularnewline
73 & 55183 & 81072.6049382716 & -25889.6049382716 \tabularnewline
74 & 106671 & 81072.6049382716 & 25598.3950617284 \tabularnewline
75 & 73511 & 81072.6049382716 & -7561.6049382716 \tabularnewline
76 & 92945 & 106666.875 & -13721.875 \tabularnewline
77 & 78664 & 81072.6049382716 & -2408.6049382716 \tabularnewline
78 & 70054 & 81072.6049382716 & -11018.6049382716 \tabularnewline
79 & 22618 & 28041.1948051948 & -5423.19480519481 \tabularnewline
80 & 74011 & 81072.6049382716 & -7061.6049382716 \tabularnewline
81 & 83737 & 81072.6049382716 & 2664.3950617284 \tabularnewline
82 & 69094 & 81072.6049382716 & -11978.6049382716 \tabularnewline
83 & 93133 & 81072.6049382716 & 12060.3950617284 \tabularnewline
84 & 95536 & 106666.875 & -11130.875 \tabularnewline
85 & 225920 & 81072.6049382716 & 144847.395061728 \tabularnewline
86 & 62133 & 81072.6049382716 & -18939.6049382716 \tabularnewline
87 & 61370 & 81072.6049382716 & -19702.6049382716 \tabularnewline
88 & 43836 & 40269.8888888889 & 3566.11111111111 \tabularnewline
89 & 106117 & 81072.6049382716 & 25044.3950617284 \tabularnewline
90 & 38692 & 60644.3 & -21952.3 \tabularnewline
91 & 84651 & 106666.875 & -22015.875 \tabularnewline
92 & 56622 & 81072.6049382716 & -24450.6049382716 \tabularnewline
93 & 15986 & 40269.8888888889 & -24283.8888888889 \tabularnewline
94 & 95364 & 81072.6049382716 & 14291.3950617284 \tabularnewline
95 & 26706 & 28041.1948051948 & -1335.19480519481 \tabularnewline
96 & 89691 & 81072.6049382716 & 8618.3950617284 \tabularnewline
97 & 67267 & 81072.6049382716 & -13805.6049382716 \tabularnewline
98 & 126846 & 106666.875 & 20179.125 \tabularnewline
99 & 41140 & 81072.6049382716 & -39932.6049382716 \tabularnewline
100 & 102860 & 106666.875 & -3806.875 \tabularnewline
101 & 51715 & 81072.6049382716 & -29357.6049382716 \tabularnewline
102 & 55801 & 81072.6049382716 & -25271.6049382716 \tabularnewline
103 & 111813 & 81072.6049382716 & 30740.3950617284 \tabularnewline
104 & 120293 & 81072.6049382716 & 39220.3950617284 \tabularnewline
105 & 138599 & 106666.875 & 31932.125 \tabularnewline
106 & 161647 & 143135.285714286 & 18511.7142857143 \tabularnewline
107 & 115929 & 106666.875 & 9262.125 \tabularnewline
108 & 24266 & 28041.1948051948 & -3775.19480519481 \tabularnewline
109 & 162901 & 143135.285714286 & 19765.7142857143 \tabularnewline
110 & 109825 & 81072.6049382716 & 28752.3950617284 \tabularnewline
111 & 129838 & 106666.875 & 23171.125 \tabularnewline
112 & 37510 & 60644.3 & -23134.3 \tabularnewline
113 & 43750 & 28041.1948051948 & 15708.8051948052 \tabularnewline
114 & 40652 & 81072.6049382716 & -40420.6049382716 \tabularnewline
115 & 87771 & 106666.875 & -18895.875 \tabularnewline
116 & 85872 & 81072.6049382716 & 4799.3950617284 \tabularnewline
117 & 89275 & 81072.6049382716 & 8202.3950617284 \tabularnewline
118 & 44418 & 44120.7272727273 & 297.272727272728 \tabularnewline
119 & 192565 & 81072.6049382716 & 111492.395061728 \tabularnewline
120 & 35232 & 40269.8888888889 & -5037.88888888889 \tabularnewline
121 & 40909 & 44120.7272727273 & -3211.72727272727 \tabularnewline
122 & 13294 & 28041.1948051948 & -14747.1948051948 \tabularnewline
123 & 32387 & 44120.7272727273 & -11733.7272727273 \tabularnewline
124 & 140867 & 81072.6049382716 & 59794.3950617284 \tabularnewline
125 & 120662 & 81072.6049382716 & 39589.3950617284 \tabularnewline
126 & 21233 & 28041.1948051948 & -6808.19480519481 \tabularnewline
127 & 44332 & 28041.1948051948 & 16290.8051948052 \tabularnewline
128 & 61056 & 44120.7272727273 & 16935.2727272727 \tabularnewline
129 & 101338 & 106666.875 & -5328.875 \tabularnewline
130 & 1168 & 6288.77777777778 & -5120.77777777778 \tabularnewline
131 & 13497 & 16079.5 & -2582.5 \tabularnewline
132 & 65567 & 81072.6049382716 & -15505.6049382716 \tabularnewline
133 & 25162 & 28041.1948051948 & -2879.19480519481 \tabularnewline
134 & 32334 & 40269.8888888889 & -7935.88888888889 \tabularnewline
135 & 40735 & 81072.6049382716 & -40337.6049382716 \tabularnewline
136 & 91413 & 143135.285714286 & -51722.2857142857 \tabularnewline
137 & 855 & 6288.77777777778 & -5433.77777777778 \tabularnewline
138 & 97068 & 81072.6049382716 & 15995.3950617284 \tabularnewline
139 & 44339 & 28041.1948051948 & 16297.8051948052 \tabularnewline
140 & 14116 & 6288.77777777778 & 7827.22222222222 \tabularnewline
141 & 10288 & 16079.5 & -5791.5 \tabularnewline
142 & 65622 & 44120.7272727273 & 21501.2727272727 \tabularnewline
143 & 16563 & 16079.5 & 483.5 \tabularnewline
144 & 76643 & 81072.6049382716 & -4429.6049382716 \tabularnewline
145 & 110681 & 81072.6049382716 & 29608.3950617284 \tabularnewline
146 & 29011 & 40269.8888888889 & -11258.8888888889 \tabularnewline
147 & 92696 & 60644.3 & 32051.7 \tabularnewline
148 & 94785 & 81072.6049382716 & 13712.3950617284 \tabularnewline
149 & 8773 & 16079.5 & -7306.5 \tabularnewline
150 & 83209 & 81072.6049382716 & 2136.3950617284 \tabularnewline
151 & 93815 & 106666.875 & -12851.875 \tabularnewline
152 & 86687 & 106666.875 & -19979.875 \tabularnewline
153 & 34553 & 40269.8888888889 & -5716.88888888889 \tabularnewline
154 & 105547 & 106666.875 & -1119.875 \tabularnewline
155 & 103487 & 106666.875 & -3179.875 \tabularnewline
156 & 213688 & 143135.285714286 & 70552.7142857143 \tabularnewline
157 & 71220 & 81072.6049382716 & -9852.6049382716 \tabularnewline
158 & 23517 & 28041.1948051948 & -4524.19480519481 \tabularnewline
159 & 56926 & 60644.3 & -3718.3 \tabularnewline
160 & 91721 & 81072.6049382716 & 10648.3950617284 \tabularnewline
161 & 115168 & 106666.875 & 8501.125 \tabularnewline
162 & 111194 & 60644.3 & 50549.7 \tabularnewline
163 & 51009 & 44120.7272727273 & 6888.27272727273 \tabularnewline
164 & 135777 & 106666.875 & 29110.125 \tabularnewline
165 & 51513 & 81072.6049382716 & -29559.6049382716 \tabularnewline
166 & 74163 & 81072.6049382716 & -6909.6049382716 \tabularnewline
167 & 51633 & 81072.6049382716 & -29439.6049382716 \tabularnewline
168 & 75345 & 81072.6049382716 & -5727.6049382716 \tabularnewline
169 & 33416 & 44120.7272727273 & -10704.7272727273 \tabularnewline
170 & 83305 & 40269.8888888889 & 43035.1111111111 \tabularnewline
171 & 98952 & 81072.6049382716 & 17879.3950617284 \tabularnewline
172 & 102372 & 143135.285714286 & -40763.2857142857 \tabularnewline
173 & 37238 & 40269.8888888889 & -3031.88888888889 \tabularnewline
174 & 103772 & 106666.875 & -2894.875 \tabularnewline
175 & 123969 & 81072.6049382716 & 42896.3950617284 \tabularnewline
176 & 27142 & 40269.8888888889 & -13127.8888888889 \tabularnewline
177 & 135400 & 106666.875 & 28733.125 \tabularnewline
178 & 21399 & 28041.1948051948 & -6642.19480519481 \tabularnewline
179 & 130115 & 106666.875 & 23448.125 \tabularnewline
180 & 24874 & 28041.1948051948 & -3167.19480519481 \tabularnewline
181 & 34988 & 28041.1948051948 & 6946.80519480519 \tabularnewline
182 & 45549 & 40269.8888888889 & 5279.11111111111 \tabularnewline
183 & 6023 & 6288.77777777778 & -265.777777777777 \tabularnewline
184 & 64466 & 81072.6049382716 & -16606.6049382716 \tabularnewline
185 & 54990 & 106666.875 & -51676.875 \tabularnewline
186 & 1644 & 6288.77777777778 & -4644.77777777778 \tabularnewline
187 & 6179 & 6288.77777777778 & -109.777777777777 \tabularnewline
188 & 3926 & 6288.77777777778 & -2362.77777777778 \tabularnewline
189 & 32755 & 44120.7272727273 & -11365.7272727273 \tabularnewline
190 & 34777 & 60644.3 & -25867.3 \tabularnewline
191 & 73224 & 81072.6049382716 & -7848.6049382716 \tabularnewline
192 & 27114 & 16079.5 & 11034.5 \tabularnewline
193 & 20760 & 28041.1948051948 & -7281.19480519481 \tabularnewline
194 & 37636 & 28041.1948051948 & 9594.80519480519 \tabularnewline
195 & 65461 & 44120.7272727273 & 21340.2727272727 \tabularnewline
196 & 30080 & 44120.7272727273 & -14040.7272727273 \tabularnewline
197 & 24094 & 28041.1948051948 & -3947.19480519481 \tabularnewline
198 & 69008 & 44120.7272727273 & 24887.2727272727 \tabularnewline
199 & 54968 & 44120.7272727273 & 10847.2727272727 \tabularnewline
200 & 46090 & 44120.7272727273 & 1969.27272727273 \tabularnewline
201 & 27507 & 28041.1948051948 & -534.194805194806 \tabularnewline
202 & 10672 & 6288.77777777778 & 4383.22222222222 \tabularnewline
203 & 34029 & 28041.1948051948 & 5987.80519480519 \tabularnewline
204 & 46300 & 28041.1948051948 & 18258.8051948052 \tabularnewline
205 & 24760 & 40269.8888888889 & -15509.8888888889 \tabularnewline
206 & 18779 & 16079.5 & 2699.5 \tabularnewline
207 & 21280 & 28041.1948051948 & -6761.19480519481 \tabularnewline
208 & 40662 & 40269.8888888889 & 392.111111111109 \tabularnewline
209 & 28987 & 28041.1948051948 & 945.805194805194 \tabularnewline
210 & 22827 & 28041.1948051948 & -5214.19480519481 \tabularnewline
211 & 18513 & 28041.1948051948 & -9528.19480519481 \tabularnewline
212 & 30594 & 28041.1948051948 & 2552.80519480519 \tabularnewline
213 & 24006 & 28041.1948051948 & -4035.19480519481 \tabularnewline
214 & 27913 & 28041.1948051948 & -128.194805194806 \tabularnewline
215 & 42744 & 16079.5 & 26664.5 \tabularnewline
216 & 12934 & 16079.5 & -3145.5 \tabularnewline
217 & 22574 & 28041.1948051948 & -5467.19480519481 \tabularnewline
218 & 41385 & 28041.1948051948 & 13343.8051948052 \tabularnewline
219 & 18653 & 28041.1948051948 & -9388.19480519481 \tabularnewline
220 & 18472 & 16079.5 & 2392.5 \tabularnewline
221 & 30976 & 28041.1948051948 & 2934.80519480519 \tabularnewline
222 & 63339 & 40269.8888888889 & 23069.1111111111 \tabularnewline
223 & 25568 & 44120.7272727273 & -18552.7272727273 \tabularnewline
224 & 33747 & 28041.1948051948 & 5705.80519480519 \tabularnewline
225 & 4154 & 6288.77777777778 & -2134.77777777778 \tabularnewline
226 & 19474 & 44120.7272727273 & -24646.7272727273 \tabularnewline
227 & 35130 & 28041.1948051948 & 7088.80519480519 \tabularnewline
228 & 39067 & 44120.7272727273 & -5053.72727272727 \tabularnewline
229 & 13310 & 28041.1948051948 & -14731.1948051948 \tabularnewline
230 & 65892 & 40269.8888888889 & 25622.1111111111 \tabularnewline
231 & 4143 & 16079.5 & -11936.5 \tabularnewline
232 & 28579 & 28041.1948051948 & 537.805194805194 \tabularnewline
233 & 51776 & 40269.8888888889 & 11506.1111111111 \tabularnewline
234 & 21152 & 28041.1948051948 & -6889.19480519481 \tabularnewline
235 & 38084 & 28041.1948051948 & 10042.8051948052 \tabularnewline
236 & 27717 & 28041.1948051948 & -324.194805194806 \tabularnewline
237 & 32928 & 28041.1948051948 & 4886.80519480519 \tabularnewline
238 & 11342 & 28041.1948051948 & -16699.1948051948 \tabularnewline
239 & 19499 & 28041.1948051948 & -8542.19480519481 \tabularnewline
240 & 16380 & 28041.1948051948 & -11661.1948051948 \tabularnewline
241 & 36874 & 28041.1948051948 & 8832.80519480519 \tabularnewline
242 & 48259 & 44120.7272727273 & 4138.27272727273 \tabularnewline
243 & 16734 & 28041.1948051948 & -11307.1948051948 \tabularnewline
244 & 28207 & 28041.1948051948 & 165.805194805194 \tabularnewline
245 & 30143 & 28041.1948051948 & 2101.80519480519 \tabularnewline
246 & 41369 & 28041.1948051948 & 13327.8051948052 \tabularnewline
247 & 45833 & 44120.7272727273 & 1712.27272727273 \tabularnewline
248 & 29156 & 28041.1948051948 & 1114.80519480519 \tabularnewline
249 & 35944 & 28041.1948051948 & 7902.80519480519 \tabularnewline
250 & 36278 & 28041.1948051948 & 8236.80519480519 \tabularnewline
251 & 45588 & 40269.8888888889 & 5318.11111111111 \tabularnewline
252 & 45097 & 44120.7272727273 & 976.272727272728 \tabularnewline
253 & 3895 & 6288.77777777778 & -2393.77777777778 \tabularnewline
254 & 28394 & 28041.1948051948 & 352.805194805194 \tabularnewline
255 & 18632 & 28041.1948051948 & -9409.19480519481 \tabularnewline
256 & 2325 & 6288.77777777778 & -3963.77777777778 \tabularnewline
257 & 25139 & 28041.1948051948 & -2902.19480519481 \tabularnewline
258 & 27975 & 28041.1948051948 & -66.1948051948057 \tabularnewline
259 & 14483 & 16079.5 & -1596.5 \tabularnewline
260 & 13127 & 6288.77777777778 & 6838.22222222222 \tabularnewline
261 & 5839 & 16079.5 & -10240.5 \tabularnewline
262 & 24069 & 28041.1948051948 & -3972.19480519481 \tabularnewline
263 & 3738 & 6288.77777777778 & -2550.77777777778 \tabularnewline
264 & 18625 & 28041.1948051948 & -9416.19480519481 \tabularnewline
265 & 36341 & 28041.1948051948 & 8299.80519480519 \tabularnewline
266 & 24548 & 28041.1948051948 & -3493.19480519481 \tabularnewline
267 & 21792 & 28041.1948051948 & -6249.19480519481 \tabularnewline
268 & 26263 & 28041.1948051948 & -1778.19480519481 \tabularnewline
269 & 23686 & 28041.1948051948 & -4355.19480519481 \tabularnewline
270 & 49303 & 44120.7272727273 & 5182.27272727273 \tabularnewline
271 & 25659 & 40269.8888888889 & -14610.8888888889 \tabularnewline
272 & 28904 & 28041.1948051948 & 862.805194805194 \tabularnewline
273 & 2781 & 16079.5 & -13298.5 \tabularnewline
274 & 29236 & 28041.1948051948 & 1194.80519480519 \tabularnewline
275 & 19546 & 28041.1948051948 & -8495.19480519481 \tabularnewline
276 & 22818 & 28041.1948051948 & -5223.19480519481 \tabularnewline
277 & 32689 & 16079.5 & 16609.5 \tabularnewline
278 & 5752 & 6288.77777777778 & -536.777777777777 \tabularnewline
279 & 22197 & 28041.1948051948 & -5844.19480519481 \tabularnewline
280 & 20055 & 28041.1948051948 & -7986.19480519481 \tabularnewline
281 & 25272 & 28041.1948051948 & -2769.19480519481 \tabularnewline
282 & 82206 & 28041.1948051948 & 54164.8051948052 \tabularnewline
283 & 32073 & 28041.1948051948 & 4031.80519480519 \tabularnewline
284 & 5444 & 6288.77777777778 & -844.777777777777 \tabularnewline
285 & 20154 & 16079.5 & 4074.5 \tabularnewline
286 & 36944 & 28041.1948051948 & 8902.80519480519 \tabularnewline
287 & 8019 & 16079.5 & -8060.5 \tabularnewline
288 & 30884 & 44120.7272727273 & -13236.7272727273 \tabularnewline
289 & 19540 & 28041.1948051948 & -8501.19480519481 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157860&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]112285[/C][C]106666.875[/C][C]5618.125[/C][/ROW]
[ROW][C]2[/C][C]84786[/C][C]81072.6049382716[/C][C]3713.3950617284[/C][/ROW]
[ROW][C]3[/C][C]83123[/C][C]81072.6049382716[/C][C]2050.3950617284[/C][/ROW]
[ROW][C]4[/C][C]101193[/C][C]106666.875[/C][C]-5473.875[/C][/ROW]
[ROW][C]5[/C][C]38361[/C][C]81072.6049382716[/C][C]-42711.6049382716[/C][/ROW]
[ROW][C]6[/C][C]68504[/C][C]60644.3[/C][C]7859.7[/C][/ROW]
[ROW][C]7[/C][C]119182[/C][C]106666.875[/C][C]12515.125[/C][/ROW]
[ROW][C]8[/C][C]22807[/C][C]6288.77777777778[/C][C]16518.2222222222[/C][/ROW]
[ROW][C]9[/C][C]17140[/C][C]28041.1948051948[/C][C]-10901.1948051948[/C][/ROW]
[ROW][C]10[/C][C]116174[/C][C]81072.6049382716[/C][C]35101.3950617284[/C][/ROW]
[ROW][C]11[/C][C]57635[/C][C]81072.6049382716[/C][C]-23437.6049382716[/C][/ROW]
[ROW][C]12[/C][C]66198[/C][C]106666.875[/C][C]-40468.875[/C][/ROW]
[ROW][C]13[/C][C]71701[/C][C]81072.6049382716[/C][C]-9371.6049382716[/C][/ROW]
[ROW][C]14[/C][C]57793[/C][C]81072.6049382716[/C][C]-23279.6049382716[/C][/ROW]
[ROW][C]15[/C][C]80444[/C][C]106666.875[/C][C]-26222.875[/C][/ROW]
[ROW][C]16[/C][C]53855[/C][C]81072.6049382716[/C][C]-27217.6049382716[/C][/ROW]
[ROW][C]17[/C][C]97668[/C][C]106666.875[/C][C]-8998.875[/C][/ROW]
[ROW][C]18[/C][C]133824[/C][C]106666.875[/C][C]27157.125[/C][/ROW]
[ROW][C]19[/C][C]101481[/C][C]81072.6049382716[/C][C]20408.3950617284[/C][/ROW]
[ROW][C]20[/C][C]99645[/C][C]106666.875[/C][C]-7021.875[/C][/ROW]
[ROW][C]21[/C][C]114789[/C][C]106666.875[/C][C]8122.125[/C][/ROW]
[ROW][C]22[/C][C]99052[/C][C]106666.875[/C][C]-7614.875[/C][/ROW]
[ROW][C]23[/C][C]67654[/C][C]81072.6049382716[/C][C]-13418.6049382716[/C][/ROW]
[ROW][C]24[/C][C]65553[/C][C]81072.6049382716[/C][C]-15519.6049382716[/C][/ROW]
[ROW][C]25[/C][C]97500[/C][C]81072.6049382716[/C][C]16427.3950617284[/C][/ROW]
[ROW][C]26[/C][C]69112[/C][C]81072.6049382716[/C][C]-11960.6049382716[/C][/ROW]
[ROW][C]27[/C][C]82753[/C][C]81072.6049382716[/C][C]1680.3950617284[/C][/ROW]
[ROW][C]28[/C][C]85323[/C][C]81072.6049382716[/C][C]4250.3950617284[/C][/ROW]
[ROW][C]29[/C][C]72654[/C][C]81072.6049382716[/C][C]-8418.6049382716[/C][/ROW]
[ROW][C]30[/C][C]30727[/C][C]81072.6049382716[/C][C]-50345.6049382716[/C][/ROW]
[ROW][C]31[/C][C]77873[/C][C]81072.6049382716[/C][C]-3199.6049382716[/C][/ROW]
[ROW][C]32[/C][C]117478[/C][C]81072.6049382716[/C][C]36405.3950617284[/C][/ROW]
[ROW][C]33[/C][C]74007[/C][C]106666.875[/C][C]-32659.875[/C][/ROW]
[ROW][C]34[/C][C]90183[/C][C]106666.875[/C][C]-16483.875[/C][/ROW]
[ROW][C]35[/C][C]61542[/C][C]60644.3[/C][C]897.699999999997[/C][/ROW]
[ROW][C]36[/C][C]101494[/C][C]106666.875[/C][C]-5172.875[/C][/ROW]
[ROW][C]37[/C][C]27570[/C][C]28041.1948051948[/C][C]-471.194805194806[/C][/ROW]
[ROW][C]38[/C][C]55813[/C][C]81072.6049382716[/C][C]-25259.6049382716[/C][/ROW]
[ROW][C]39[/C][C]79215[/C][C]81072.6049382716[/C][C]-1857.6049382716[/C][/ROW]
[ROW][C]40[/C][C]1423[/C][C]6288.77777777778[/C][C]-4865.77777777778[/C][/ROW]
[ROW][C]41[/C][C]55461[/C][C]81072.6049382716[/C][C]-25611.6049382716[/C][/ROW]
[ROW][C]42[/C][C]31081[/C][C]28041.1948051948[/C][C]3039.80519480519[/C][/ROW]
[ROW][C]43[/C][C]22996[/C][C]40269.8888888889[/C][C]-17273.8888888889[/C][/ROW]
[ROW][C]44[/C][C]83122[/C][C]81072.6049382716[/C][C]2049.3950617284[/C][/ROW]
[ROW][C]45[/C][C]70106[/C][C]81072.6049382716[/C][C]-10966.6049382716[/C][/ROW]
[ROW][C]46[/C][C]60578[/C][C]81072.6049382716[/C][C]-20494.6049382716[/C][/ROW]
[ROW][C]47[/C][C]39992[/C][C]44120.7272727273[/C][C]-4128.72727272727[/C][/ROW]
[ROW][C]48[/C][C]79892[/C][C]81072.6049382716[/C][C]-1180.6049382716[/C][/ROW]
[ROW][C]49[/C][C]49810[/C][C]81072.6049382716[/C][C]-31262.6049382716[/C][/ROW]
[ROW][C]50[/C][C]71570[/C][C]60644.3[/C][C]10925.7[/C][/ROW]
[ROW][C]51[/C][C]100708[/C][C]81072.6049382716[/C][C]19635.3950617284[/C][/ROW]
[ROW][C]52[/C][C]33032[/C][C]60644.3[/C][C]-27612.3[/C][/ROW]
[ROW][C]53[/C][C]82875[/C][C]106666.875[/C][C]-23791.875[/C][/ROW]
[ROW][C]54[/C][C]139077[/C][C]106666.875[/C][C]32410.125[/C][/ROW]
[ROW][C]55[/C][C]71595[/C][C]81072.6049382716[/C][C]-9477.6049382716[/C][/ROW]
[ROW][C]56[/C][C]72260[/C][C]81072.6049382716[/C][C]-8812.6049382716[/C][/ROW]
[ROW][C]57[/C][C]5950[/C][C]6288.77777777778[/C][C]-338.777777777777[/C][/ROW]
[ROW][C]58[/C][C]115762[/C][C]106666.875[/C][C]9095.125[/C][/ROW]
[ROW][C]59[/C][C]32551[/C][C]28041.1948051948[/C][C]4509.80519480519[/C][/ROW]
[ROW][C]60[/C][C]31701[/C][C]28041.1948051948[/C][C]3659.80519480519[/C][/ROW]
[ROW][C]61[/C][C]80670[/C][C]81072.6049382716[/C][C]-402.604938271601[/C][/ROW]
[ROW][C]62[/C][C]143558[/C][C]106666.875[/C][C]36891.125[/C][/ROW]
[ROW][C]63[/C][C]117105[/C][C]106666.875[/C][C]10438.125[/C][/ROW]
[ROW][C]64[/C][C]23789[/C][C]28041.1948051948[/C][C]-4252.19480519481[/C][/ROW]
[ROW][C]65[/C][C]120733[/C][C]143135.285714286[/C][C]-22402.2857142857[/C][/ROW]
[ROW][C]66[/C][C]105195[/C][C]106666.875[/C][C]-1471.875[/C][/ROW]
[ROW][C]67[/C][C]73107[/C][C]81072.6049382716[/C][C]-7965.6049382716[/C][/ROW]
[ROW][C]68[/C][C]132068[/C][C]106666.875[/C][C]25401.125[/C][/ROW]
[ROW][C]69[/C][C]149193[/C][C]143135.285714286[/C][C]6057.71428571429[/C][/ROW]
[ROW][C]70[/C][C]46821[/C][C]81072.6049382716[/C][C]-34251.6049382716[/C][/ROW]
[ROW][C]71[/C][C]87011[/C][C]81072.6049382716[/C][C]5938.3950617284[/C][/ROW]
[ROW][C]72[/C][C]95260[/C][C]81072.6049382716[/C][C]14187.3950617284[/C][/ROW]
[ROW][C]73[/C][C]55183[/C][C]81072.6049382716[/C][C]-25889.6049382716[/C][/ROW]
[ROW][C]74[/C][C]106671[/C][C]81072.6049382716[/C][C]25598.3950617284[/C][/ROW]
[ROW][C]75[/C][C]73511[/C][C]81072.6049382716[/C][C]-7561.6049382716[/C][/ROW]
[ROW][C]76[/C][C]92945[/C][C]106666.875[/C][C]-13721.875[/C][/ROW]
[ROW][C]77[/C][C]78664[/C][C]81072.6049382716[/C][C]-2408.6049382716[/C][/ROW]
[ROW][C]78[/C][C]70054[/C][C]81072.6049382716[/C][C]-11018.6049382716[/C][/ROW]
[ROW][C]79[/C][C]22618[/C][C]28041.1948051948[/C][C]-5423.19480519481[/C][/ROW]
[ROW][C]80[/C][C]74011[/C][C]81072.6049382716[/C][C]-7061.6049382716[/C][/ROW]
[ROW][C]81[/C][C]83737[/C][C]81072.6049382716[/C][C]2664.3950617284[/C][/ROW]
[ROW][C]82[/C][C]69094[/C][C]81072.6049382716[/C][C]-11978.6049382716[/C][/ROW]
[ROW][C]83[/C][C]93133[/C][C]81072.6049382716[/C][C]12060.3950617284[/C][/ROW]
[ROW][C]84[/C][C]95536[/C][C]106666.875[/C][C]-11130.875[/C][/ROW]
[ROW][C]85[/C][C]225920[/C][C]81072.6049382716[/C][C]144847.395061728[/C][/ROW]
[ROW][C]86[/C][C]62133[/C][C]81072.6049382716[/C][C]-18939.6049382716[/C][/ROW]
[ROW][C]87[/C][C]61370[/C][C]81072.6049382716[/C][C]-19702.6049382716[/C][/ROW]
[ROW][C]88[/C][C]43836[/C][C]40269.8888888889[/C][C]3566.11111111111[/C][/ROW]
[ROW][C]89[/C][C]106117[/C][C]81072.6049382716[/C][C]25044.3950617284[/C][/ROW]
[ROW][C]90[/C][C]38692[/C][C]60644.3[/C][C]-21952.3[/C][/ROW]
[ROW][C]91[/C][C]84651[/C][C]106666.875[/C][C]-22015.875[/C][/ROW]
[ROW][C]92[/C][C]56622[/C][C]81072.6049382716[/C][C]-24450.6049382716[/C][/ROW]
[ROW][C]93[/C][C]15986[/C][C]40269.8888888889[/C][C]-24283.8888888889[/C][/ROW]
[ROW][C]94[/C][C]95364[/C][C]81072.6049382716[/C][C]14291.3950617284[/C][/ROW]
[ROW][C]95[/C][C]26706[/C][C]28041.1948051948[/C][C]-1335.19480519481[/C][/ROW]
[ROW][C]96[/C][C]89691[/C][C]81072.6049382716[/C][C]8618.3950617284[/C][/ROW]
[ROW][C]97[/C][C]67267[/C][C]81072.6049382716[/C][C]-13805.6049382716[/C][/ROW]
[ROW][C]98[/C][C]126846[/C][C]106666.875[/C][C]20179.125[/C][/ROW]
[ROW][C]99[/C][C]41140[/C][C]81072.6049382716[/C][C]-39932.6049382716[/C][/ROW]
[ROW][C]100[/C][C]102860[/C][C]106666.875[/C][C]-3806.875[/C][/ROW]
[ROW][C]101[/C][C]51715[/C][C]81072.6049382716[/C][C]-29357.6049382716[/C][/ROW]
[ROW][C]102[/C][C]55801[/C][C]81072.6049382716[/C][C]-25271.6049382716[/C][/ROW]
[ROW][C]103[/C][C]111813[/C][C]81072.6049382716[/C][C]30740.3950617284[/C][/ROW]
[ROW][C]104[/C][C]120293[/C][C]81072.6049382716[/C][C]39220.3950617284[/C][/ROW]
[ROW][C]105[/C][C]138599[/C][C]106666.875[/C][C]31932.125[/C][/ROW]
[ROW][C]106[/C][C]161647[/C][C]143135.285714286[/C][C]18511.7142857143[/C][/ROW]
[ROW][C]107[/C][C]115929[/C][C]106666.875[/C][C]9262.125[/C][/ROW]
[ROW][C]108[/C][C]24266[/C][C]28041.1948051948[/C][C]-3775.19480519481[/C][/ROW]
[ROW][C]109[/C][C]162901[/C][C]143135.285714286[/C][C]19765.7142857143[/C][/ROW]
[ROW][C]110[/C][C]109825[/C][C]81072.6049382716[/C][C]28752.3950617284[/C][/ROW]
[ROW][C]111[/C][C]129838[/C][C]106666.875[/C][C]23171.125[/C][/ROW]
[ROW][C]112[/C][C]37510[/C][C]60644.3[/C][C]-23134.3[/C][/ROW]
[ROW][C]113[/C][C]43750[/C][C]28041.1948051948[/C][C]15708.8051948052[/C][/ROW]
[ROW][C]114[/C][C]40652[/C][C]81072.6049382716[/C][C]-40420.6049382716[/C][/ROW]
[ROW][C]115[/C][C]87771[/C][C]106666.875[/C][C]-18895.875[/C][/ROW]
[ROW][C]116[/C][C]85872[/C][C]81072.6049382716[/C][C]4799.3950617284[/C][/ROW]
[ROW][C]117[/C][C]89275[/C][C]81072.6049382716[/C][C]8202.3950617284[/C][/ROW]
[ROW][C]118[/C][C]44418[/C][C]44120.7272727273[/C][C]297.272727272728[/C][/ROW]
[ROW][C]119[/C][C]192565[/C][C]81072.6049382716[/C][C]111492.395061728[/C][/ROW]
[ROW][C]120[/C][C]35232[/C][C]40269.8888888889[/C][C]-5037.88888888889[/C][/ROW]
[ROW][C]121[/C][C]40909[/C][C]44120.7272727273[/C][C]-3211.72727272727[/C][/ROW]
[ROW][C]122[/C][C]13294[/C][C]28041.1948051948[/C][C]-14747.1948051948[/C][/ROW]
[ROW][C]123[/C][C]32387[/C][C]44120.7272727273[/C][C]-11733.7272727273[/C][/ROW]
[ROW][C]124[/C][C]140867[/C][C]81072.6049382716[/C][C]59794.3950617284[/C][/ROW]
[ROW][C]125[/C][C]120662[/C][C]81072.6049382716[/C][C]39589.3950617284[/C][/ROW]
[ROW][C]126[/C][C]21233[/C][C]28041.1948051948[/C][C]-6808.19480519481[/C][/ROW]
[ROW][C]127[/C][C]44332[/C][C]28041.1948051948[/C][C]16290.8051948052[/C][/ROW]
[ROW][C]128[/C][C]61056[/C][C]44120.7272727273[/C][C]16935.2727272727[/C][/ROW]
[ROW][C]129[/C][C]101338[/C][C]106666.875[/C][C]-5328.875[/C][/ROW]
[ROW][C]130[/C][C]1168[/C][C]6288.77777777778[/C][C]-5120.77777777778[/C][/ROW]
[ROW][C]131[/C][C]13497[/C][C]16079.5[/C][C]-2582.5[/C][/ROW]
[ROW][C]132[/C][C]65567[/C][C]81072.6049382716[/C][C]-15505.6049382716[/C][/ROW]
[ROW][C]133[/C][C]25162[/C][C]28041.1948051948[/C][C]-2879.19480519481[/C][/ROW]
[ROW][C]134[/C][C]32334[/C][C]40269.8888888889[/C][C]-7935.88888888889[/C][/ROW]
[ROW][C]135[/C][C]40735[/C][C]81072.6049382716[/C][C]-40337.6049382716[/C][/ROW]
[ROW][C]136[/C][C]91413[/C][C]143135.285714286[/C][C]-51722.2857142857[/C][/ROW]
[ROW][C]137[/C][C]855[/C][C]6288.77777777778[/C][C]-5433.77777777778[/C][/ROW]
[ROW][C]138[/C][C]97068[/C][C]81072.6049382716[/C][C]15995.3950617284[/C][/ROW]
[ROW][C]139[/C][C]44339[/C][C]28041.1948051948[/C][C]16297.8051948052[/C][/ROW]
[ROW][C]140[/C][C]14116[/C][C]6288.77777777778[/C][C]7827.22222222222[/C][/ROW]
[ROW][C]141[/C][C]10288[/C][C]16079.5[/C][C]-5791.5[/C][/ROW]
[ROW][C]142[/C][C]65622[/C][C]44120.7272727273[/C][C]21501.2727272727[/C][/ROW]
[ROW][C]143[/C][C]16563[/C][C]16079.5[/C][C]483.5[/C][/ROW]
[ROW][C]144[/C][C]76643[/C][C]81072.6049382716[/C][C]-4429.6049382716[/C][/ROW]
[ROW][C]145[/C][C]110681[/C][C]81072.6049382716[/C][C]29608.3950617284[/C][/ROW]
[ROW][C]146[/C][C]29011[/C][C]40269.8888888889[/C][C]-11258.8888888889[/C][/ROW]
[ROW][C]147[/C][C]92696[/C][C]60644.3[/C][C]32051.7[/C][/ROW]
[ROW][C]148[/C][C]94785[/C][C]81072.6049382716[/C][C]13712.3950617284[/C][/ROW]
[ROW][C]149[/C][C]8773[/C][C]16079.5[/C][C]-7306.5[/C][/ROW]
[ROW][C]150[/C][C]83209[/C][C]81072.6049382716[/C][C]2136.3950617284[/C][/ROW]
[ROW][C]151[/C][C]93815[/C][C]106666.875[/C][C]-12851.875[/C][/ROW]
[ROW][C]152[/C][C]86687[/C][C]106666.875[/C][C]-19979.875[/C][/ROW]
[ROW][C]153[/C][C]34553[/C][C]40269.8888888889[/C][C]-5716.88888888889[/C][/ROW]
[ROW][C]154[/C][C]105547[/C][C]106666.875[/C][C]-1119.875[/C][/ROW]
[ROW][C]155[/C][C]103487[/C][C]106666.875[/C][C]-3179.875[/C][/ROW]
[ROW][C]156[/C][C]213688[/C][C]143135.285714286[/C][C]70552.7142857143[/C][/ROW]
[ROW][C]157[/C][C]71220[/C][C]81072.6049382716[/C][C]-9852.6049382716[/C][/ROW]
[ROW][C]158[/C][C]23517[/C][C]28041.1948051948[/C][C]-4524.19480519481[/C][/ROW]
[ROW][C]159[/C][C]56926[/C][C]60644.3[/C][C]-3718.3[/C][/ROW]
[ROW][C]160[/C][C]91721[/C][C]81072.6049382716[/C][C]10648.3950617284[/C][/ROW]
[ROW][C]161[/C][C]115168[/C][C]106666.875[/C][C]8501.125[/C][/ROW]
[ROW][C]162[/C][C]111194[/C][C]60644.3[/C][C]50549.7[/C][/ROW]
[ROW][C]163[/C][C]51009[/C][C]44120.7272727273[/C][C]6888.27272727273[/C][/ROW]
[ROW][C]164[/C][C]135777[/C][C]106666.875[/C][C]29110.125[/C][/ROW]
[ROW][C]165[/C][C]51513[/C][C]81072.6049382716[/C][C]-29559.6049382716[/C][/ROW]
[ROW][C]166[/C][C]74163[/C][C]81072.6049382716[/C][C]-6909.6049382716[/C][/ROW]
[ROW][C]167[/C][C]51633[/C][C]81072.6049382716[/C][C]-29439.6049382716[/C][/ROW]
[ROW][C]168[/C][C]75345[/C][C]81072.6049382716[/C][C]-5727.6049382716[/C][/ROW]
[ROW][C]169[/C][C]33416[/C][C]44120.7272727273[/C][C]-10704.7272727273[/C][/ROW]
[ROW][C]170[/C][C]83305[/C][C]40269.8888888889[/C][C]43035.1111111111[/C][/ROW]
[ROW][C]171[/C][C]98952[/C][C]81072.6049382716[/C][C]17879.3950617284[/C][/ROW]
[ROW][C]172[/C][C]102372[/C][C]143135.285714286[/C][C]-40763.2857142857[/C][/ROW]
[ROW][C]173[/C][C]37238[/C][C]40269.8888888889[/C][C]-3031.88888888889[/C][/ROW]
[ROW][C]174[/C][C]103772[/C][C]106666.875[/C][C]-2894.875[/C][/ROW]
[ROW][C]175[/C][C]123969[/C][C]81072.6049382716[/C][C]42896.3950617284[/C][/ROW]
[ROW][C]176[/C][C]27142[/C][C]40269.8888888889[/C][C]-13127.8888888889[/C][/ROW]
[ROW][C]177[/C][C]135400[/C][C]106666.875[/C][C]28733.125[/C][/ROW]
[ROW][C]178[/C][C]21399[/C][C]28041.1948051948[/C][C]-6642.19480519481[/C][/ROW]
[ROW][C]179[/C][C]130115[/C][C]106666.875[/C][C]23448.125[/C][/ROW]
[ROW][C]180[/C][C]24874[/C][C]28041.1948051948[/C][C]-3167.19480519481[/C][/ROW]
[ROW][C]181[/C][C]34988[/C][C]28041.1948051948[/C][C]6946.80519480519[/C][/ROW]
[ROW][C]182[/C][C]45549[/C][C]40269.8888888889[/C][C]5279.11111111111[/C][/ROW]
[ROW][C]183[/C][C]6023[/C][C]6288.77777777778[/C][C]-265.777777777777[/C][/ROW]
[ROW][C]184[/C][C]64466[/C][C]81072.6049382716[/C][C]-16606.6049382716[/C][/ROW]
[ROW][C]185[/C][C]54990[/C][C]106666.875[/C][C]-51676.875[/C][/ROW]
[ROW][C]186[/C][C]1644[/C][C]6288.77777777778[/C][C]-4644.77777777778[/C][/ROW]
[ROW][C]187[/C][C]6179[/C][C]6288.77777777778[/C][C]-109.777777777777[/C][/ROW]
[ROW][C]188[/C][C]3926[/C][C]6288.77777777778[/C][C]-2362.77777777778[/C][/ROW]
[ROW][C]189[/C][C]32755[/C][C]44120.7272727273[/C][C]-11365.7272727273[/C][/ROW]
[ROW][C]190[/C][C]34777[/C][C]60644.3[/C][C]-25867.3[/C][/ROW]
[ROW][C]191[/C][C]73224[/C][C]81072.6049382716[/C][C]-7848.6049382716[/C][/ROW]
[ROW][C]192[/C][C]27114[/C][C]16079.5[/C][C]11034.5[/C][/ROW]
[ROW][C]193[/C][C]20760[/C][C]28041.1948051948[/C][C]-7281.19480519481[/C][/ROW]
[ROW][C]194[/C][C]37636[/C][C]28041.1948051948[/C][C]9594.80519480519[/C][/ROW]
[ROW][C]195[/C][C]65461[/C][C]44120.7272727273[/C][C]21340.2727272727[/C][/ROW]
[ROW][C]196[/C][C]30080[/C][C]44120.7272727273[/C][C]-14040.7272727273[/C][/ROW]
[ROW][C]197[/C][C]24094[/C][C]28041.1948051948[/C][C]-3947.19480519481[/C][/ROW]
[ROW][C]198[/C][C]69008[/C][C]44120.7272727273[/C][C]24887.2727272727[/C][/ROW]
[ROW][C]199[/C][C]54968[/C][C]44120.7272727273[/C][C]10847.2727272727[/C][/ROW]
[ROW][C]200[/C][C]46090[/C][C]44120.7272727273[/C][C]1969.27272727273[/C][/ROW]
[ROW][C]201[/C][C]27507[/C][C]28041.1948051948[/C][C]-534.194805194806[/C][/ROW]
[ROW][C]202[/C][C]10672[/C][C]6288.77777777778[/C][C]4383.22222222222[/C][/ROW]
[ROW][C]203[/C][C]34029[/C][C]28041.1948051948[/C][C]5987.80519480519[/C][/ROW]
[ROW][C]204[/C][C]46300[/C][C]28041.1948051948[/C][C]18258.8051948052[/C][/ROW]
[ROW][C]205[/C][C]24760[/C][C]40269.8888888889[/C][C]-15509.8888888889[/C][/ROW]
[ROW][C]206[/C][C]18779[/C][C]16079.5[/C][C]2699.5[/C][/ROW]
[ROW][C]207[/C][C]21280[/C][C]28041.1948051948[/C][C]-6761.19480519481[/C][/ROW]
[ROW][C]208[/C][C]40662[/C][C]40269.8888888889[/C][C]392.111111111109[/C][/ROW]
[ROW][C]209[/C][C]28987[/C][C]28041.1948051948[/C][C]945.805194805194[/C][/ROW]
[ROW][C]210[/C][C]22827[/C][C]28041.1948051948[/C][C]-5214.19480519481[/C][/ROW]
[ROW][C]211[/C][C]18513[/C][C]28041.1948051948[/C][C]-9528.19480519481[/C][/ROW]
[ROW][C]212[/C][C]30594[/C][C]28041.1948051948[/C][C]2552.80519480519[/C][/ROW]
[ROW][C]213[/C][C]24006[/C][C]28041.1948051948[/C][C]-4035.19480519481[/C][/ROW]
[ROW][C]214[/C][C]27913[/C][C]28041.1948051948[/C][C]-128.194805194806[/C][/ROW]
[ROW][C]215[/C][C]42744[/C][C]16079.5[/C][C]26664.5[/C][/ROW]
[ROW][C]216[/C][C]12934[/C][C]16079.5[/C][C]-3145.5[/C][/ROW]
[ROW][C]217[/C][C]22574[/C][C]28041.1948051948[/C][C]-5467.19480519481[/C][/ROW]
[ROW][C]218[/C][C]41385[/C][C]28041.1948051948[/C][C]13343.8051948052[/C][/ROW]
[ROW][C]219[/C][C]18653[/C][C]28041.1948051948[/C][C]-9388.19480519481[/C][/ROW]
[ROW][C]220[/C][C]18472[/C][C]16079.5[/C][C]2392.5[/C][/ROW]
[ROW][C]221[/C][C]30976[/C][C]28041.1948051948[/C][C]2934.80519480519[/C][/ROW]
[ROW][C]222[/C][C]63339[/C][C]40269.8888888889[/C][C]23069.1111111111[/C][/ROW]
[ROW][C]223[/C][C]25568[/C][C]44120.7272727273[/C][C]-18552.7272727273[/C][/ROW]
[ROW][C]224[/C][C]33747[/C][C]28041.1948051948[/C][C]5705.80519480519[/C][/ROW]
[ROW][C]225[/C][C]4154[/C][C]6288.77777777778[/C][C]-2134.77777777778[/C][/ROW]
[ROW][C]226[/C][C]19474[/C][C]44120.7272727273[/C][C]-24646.7272727273[/C][/ROW]
[ROW][C]227[/C][C]35130[/C][C]28041.1948051948[/C][C]7088.80519480519[/C][/ROW]
[ROW][C]228[/C][C]39067[/C][C]44120.7272727273[/C][C]-5053.72727272727[/C][/ROW]
[ROW][C]229[/C][C]13310[/C][C]28041.1948051948[/C][C]-14731.1948051948[/C][/ROW]
[ROW][C]230[/C][C]65892[/C][C]40269.8888888889[/C][C]25622.1111111111[/C][/ROW]
[ROW][C]231[/C][C]4143[/C][C]16079.5[/C][C]-11936.5[/C][/ROW]
[ROW][C]232[/C][C]28579[/C][C]28041.1948051948[/C][C]537.805194805194[/C][/ROW]
[ROW][C]233[/C][C]51776[/C][C]40269.8888888889[/C][C]11506.1111111111[/C][/ROW]
[ROW][C]234[/C][C]21152[/C][C]28041.1948051948[/C][C]-6889.19480519481[/C][/ROW]
[ROW][C]235[/C][C]38084[/C][C]28041.1948051948[/C][C]10042.8051948052[/C][/ROW]
[ROW][C]236[/C][C]27717[/C][C]28041.1948051948[/C][C]-324.194805194806[/C][/ROW]
[ROW][C]237[/C][C]32928[/C][C]28041.1948051948[/C][C]4886.80519480519[/C][/ROW]
[ROW][C]238[/C][C]11342[/C][C]28041.1948051948[/C][C]-16699.1948051948[/C][/ROW]
[ROW][C]239[/C][C]19499[/C][C]28041.1948051948[/C][C]-8542.19480519481[/C][/ROW]
[ROW][C]240[/C][C]16380[/C][C]28041.1948051948[/C][C]-11661.1948051948[/C][/ROW]
[ROW][C]241[/C][C]36874[/C][C]28041.1948051948[/C][C]8832.80519480519[/C][/ROW]
[ROW][C]242[/C][C]48259[/C][C]44120.7272727273[/C][C]4138.27272727273[/C][/ROW]
[ROW][C]243[/C][C]16734[/C][C]28041.1948051948[/C][C]-11307.1948051948[/C][/ROW]
[ROW][C]244[/C][C]28207[/C][C]28041.1948051948[/C][C]165.805194805194[/C][/ROW]
[ROW][C]245[/C][C]30143[/C][C]28041.1948051948[/C][C]2101.80519480519[/C][/ROW]
[ROW][C]246[/C][C]41369[/C][C]28041.1948051948[/C][C]13327.8051948052[/C][/ROW]
[ROW][C]247[/C][C]45833[/C][C]44120.7272727273[/C][C]1712.27272727273[/C][/ROW]
[ROW][C]248[/C][C]29156[/C][C]28041.1948051948[/C][C]1114.80519480519[/C][/ROW]
[ROW][C]249[/C][C]35944[/C][C]28041.1948051948[/C][C]7902.80519480519[/C][/ROW]
[ROW][C]250[/C][C]36278[/C][C]28041.1948051948[/C][C]8236.80519480519[/C][/ROW]
[ROW][C]251[/C][C]45588[/C][C]40269.8888888889[/C][C]5318.11111111111[/C][/ROW]
[ROW][C]252[/C][C]45097[/C][C]44120.7272727273[/C][C]976.272727272728[/C][/ROW]
[ROW][C]253[/C][C]3895[/C][C]6288.77777777778[/C][C]-2393.77777777778[/C][/ROW]
[ROW][C]254[/C][C]28394[/C][C]28041.1948051948[/C][C]352.805194805194[/C][/ROW]
[ROW][C]255[/C][C]18632[/C][C]28041.1948051948[/C][C]-9409.19480519481[/C][/ROW]
[ROW][C]256[/C][C]2325[/C][C]6288.77777777778[/C][C]-3963.77777777778[/C][/ROW]
[ROW][C]257[/C][C]25139[/C][C]28041.1948051948[/C][C]-2902.19480519481[/C][/ROW]
[ROW][C]258[/C][C]27975[/C][C]28041.1948051948[/C][C]-66.1948051948057[/C][/ROW]
[ROW][C]259[/C][C]14483[/C][C]16079.5[/C][C]-1596.5[/C][/ROW]
[ROW][C]260[/C][C]13127[/C][C]6288.77777777778[/C][C]6838.22222222222[/C][/ROW]
[ROW][C]261[/C][C]5839[/C][C]16079.5[/C][C]-10240.5[/C][/ROW]
[ROW][C]262[/C][C]24069[/C][C]28041.1948051948[/C][C]-3972.19480519481[/C][/ROW]
[ROW][C]263[/C][C]3738[/C][C]6288.77777777778[/C][C]-2550.77777777778[/C][/ROW]
[ROW][C]264[/C][C]18625[/C][C]28041.1948051948[/C][C]-9416.19480519481[/C][/ROW]
[ROW][C]265[/C][C]36341[/C][C]28041.1948051948[/C][C]8299.80519480519[/C][/ROW]
[ROW][C]266[/C][C]24548[/C][C]28041.1948051948[/C][C]-3493.19480519481[/C][/ROW]
[ROW][C]267[/C][C]21792[/C][C]28041.1948051948[/C][C]-6249.19480519481[/C][/ROW]
[ROW][C]268[/C][C]26263[/C][C]28041.1948051948[/C][C]-1778.19480519481[/C][/ROW]
[ROW][C]269[/C][C]23686[/C][C]28041.1948051948[/C][C]-4355.19480519481[/C][/ROW]
[ROW][C]270[/C][C]49303[/C][C]44120.7272727273[/C][C]5182.27272727273[/C][/ROW]
[ROW][C]271[/C][C]25659[/C][C]40269.8888888889[/C][C]-14610.8888888889[/C][/ROW]
[ROW][C]272[/C][C]28904[/C][C]28041.1948051948[/C][C]862.805194805194[/C][/ROW]
[ROW][C]273[/C][C]2781[/C][C]16079.5[/C][C]-13298.5[/C][/ROW]
[ROW][C]274[/C][C]29236[/C][C]28041.1948051948[/C][C]1194.80519480519[/C][/ROW]
[ROW][C]275[/C][C]19546[/C][C]28041.1948051948[/C][C]-8495.19480519481[/C][/ROW]
[ROW][C]276[/C][C]22818[/C][C]28041.1948051948[/C][C]-5223.19480519481[/C][/ROW]
[ROW][C]277[/C][C]32689[/C][C]16079.5[/C][C]16609.5[/C][/ROW]
[ROW][C]278[/C][C]5752[/C][C]6288.77777777778[/C][C]-536.777777777777[/C][/ROW]
[ROW][C]279[/C][C]22197[/C][C]28041.1948051948[/C][C]-5844.19480519481[/C][/ROW]
[ROW][C]280[/C][C]20055[/C][C]28041.1948051948[/C][C]-7986.19480519481[/C][/ROW]
[ROW][C]281[/C][C]25272[/C][C]28041.1948051948[/C][C]-2769.19480519481[/C][/ROW]
[ROW][C]282[/C][C]82206[/C][C]28041.1948051948[/C][C]54164.8051948052[/C][/ROW]
[ROW][C]283[/C][C]32073[/C][C]28041.1948051948[/C][C]4031.80519480519[/C][/ROW]
[ROW][C]284[/C][C]5444[/C][C]6288.77777777778[/C][C]-844.777777777777[/C][/ROW]
[ROW][C]285[/C][C]20154[/C][C]16079.5[/C][C]4074.5[/C][/ROW]
[ROW][C]286[/C][C]36944[/C][C]28041.1948051948[/C][C]8902.80519480519[/C][/ROW]
[ROW][C]287[/C][C]8019[/C][C]16079.5[/C][C]-8060.5[/C][/ROW]
[ROW][C]288[/C][C]30884[/C][C]44120.7272727273[/C][C]-13236.7272727273[/C][/ROW]
[ROW][C]289[/C][C]19540[/C][C]28041.1948051948[/C][C]-8501.19480519481[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157860&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157860&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
#ActualsForecastsResiduals
1112285106666.8755618.125
28478681072.60493827163713.3950617284
38312381072.60493827162050.3950617284
4101193106666.875-5473.875
53836181072.6049382716-42711.6049382716
66850460644.37859.7
7119182106666.87512515.125
8228076288.7777777777816518.2222222222
91714028041.1948051948-10901.1948051948
1011617481072.604938271635101.3950617284
115763581072.6049382716-23437.6049382716
1266198106666.875-40468.875
137170181072.6049382716-9371.6049382716
145779381072.6049382716-23279.6049382716
1580444106666.875-26222.875
165385581072.6049382716-27217.6049382716
1797668106666.875-8998.875
18133824106666.87527157.125
1910148181072.604938271620408.3950617284
2099645106666.875-7021.875
21114789106666.8758122.125
2299052106666.875-7614.875
236765481072.6049382716-13418.6049382716
246555381072.6049382716-15519.6049382716
259750081072.604938271616427.3950617284
266911281072.6049382716-11960.6049382716
278275381072.60493827161680.3950617284
288532381072.60493827164250.3950617284
297265481072.6049382716-8418.6049382716
303072781072.6049382716-50345.6049382716
317787381072.6049382716-3199.6049382716
3211747881072.604938271636405.3950617284
3374007106666.875-32659.875
3490183106666.875-16483.875
356154260644.3897.699999999997
36101494106666.875-5172.875
372757028041.1948051948-471.194805194806
385581381072.6049382716-25259.6049382716
397921581072.6049382716-1857.6049382716
4014236288.77777777778-4865.77777777778
415546181072.6049382716-25611.6049382716
423108128041.19480519483039.80519480519
432299640269.8888888889-17273.8888888889
448312281072.60493827162049.3950617284
457010681072.6049382716-10966.6049382716
466057881072.6049382716-20494.6049382716
473999244120.7272727273-4128.72727272727
487989281072.6049382716-1180.6049382716
494981081072.6049382716-31262.6049382716
507157060644.310925.7
5110070881072.604938271619635.3950617284
523303260644.3-27612.3
5382875106666.875-23791.875
54139077106666.87532410.125
557159581072.6049382716-9477.6049382716
567226081072.6049382716-8812.6049382716
5759506288.77777777778-338.777777777777
58115762106666.8759095.125
593255128041.19480519484509.80519480519
603170128041.19480519483659.80519480519
618067081072.6049382716-402.604938271601
62143558106666.87536891.125
63117105106666.87510438.125
642378928041.1948051948-4252.19480519481
65120733143135.285714286-22402.2857142857
66105195106666.875-1471.875
677310781072.6049382716-7965.6049382716
68132068106666.87525401.125
69149193143135.2857142866057.71428571429
704682181072.6049382716-34251.6049382716
718701181072.60493827165938.3950617284
729526081072.604938271614187.3950617284
735518381072.6049382716-25889.6049382716
7410667181072.604938271625598.3950617284
757351181072.6049382716-7561.6049382716
7692945106666.875-13721.875
777866481072.6049382716-2408.6049382716
787005481072.6049382716-11018.6049382716
792261828041.1948051948-5423.19480519481
807401181072.6049382716-7061.6049382716
818373781072.60493827162664.3950617284
826909481072.6049382716-11978.6049382716
839313381072.604938271612060.3950617284
8495536106666.875-11130.875
8522592081072.6049382716144847.395061728
866213381072.6049382716-18939.6049382716
876137081072.6049382716-19702.6049382716
884383640269.88888888893566.11111111111
8910611781072.604938271625044.3950617284
903869260644.3-21952.3
9184651106666.875-22015.875
925662281072.6049382716-24450.6049382716
931598640269.8888888889-24283.8888888889
949536481072.604938271614291.3950617284
952670628041.1948051948-1335.19480519481
968969181072.60493827168618.3950617284
976726781072.6049382716-13805.6049382716
98126846106666.87520179.125
994114081072.6049382716-39932.6049382716
100102860106666.875-3806.875
1015171581072.6049382716-29357.6049382716
1025580181072.6049382716-25271.6049382716
10311181381072.604938271630740.3950617284
10412029381072.604938271639220.3950617284
105138599106666.87531932.125
106161647143135.28571428618511.7142857143
107115929106666.8759262.125
1082426628041.1948051948-3775.19480519481
109162901143135.28571428619765.7142857143
11010982581072.604938271628752.3950617284
111129838106666.87523171.125
1123751060644.3-23134.3
1134375028041.194805194815708.8051948052
1144065281072.6049382716-40420.6049382716
11587771106666.875-18895.875
1168587281072.60493827164799.3950617284
1178927581072.60493827168202.3950617284
1184441844120.7272727273297.272727272728
11919256581072.6049382716111492.395061728
1203523240269.8888888889-5037.88888888889
1214090944120.7272727273-3211.72727272727
1221329428041.1948051948-14747.1948051948
1233238744120.7272727273-11733.7272727273
12414086781072.604938271659794.3950617284
12512066281072.604938271639589.3950617284
1262123328041.1948051948-6808.19480519481
1274433228041.194805194816290.8051948052
1286105644120.727272727316935.2727272727
129101338106666.875-5328.875
13011686288.77777777778-5120.77777777778
1311349716079.5-2582.5
1326556781072.6049382716-15505.6049382716
1332516228041.1948051948-2879.19480519481
1343233440269.8888888889-7935.88888888889
1354073581072.6049382716-40337.6049382716
13691413143135.285714286-51722.2857142857
1378556288.77777777778-5433.77777777778
1389706881072.604938271615995.3950617284
1394433928041.194805194816297.8051948052
140141166288.777777777787827.22222222222
1411028816079.5-5791.5
1426562244120.727272727321501.2727272727
1431656316079.5483.5
1447664381072.6049382716-4429.6049382716
14511068181072.604938271629608.3950617284
1462901140269.8888888889-11258.8888888889
1479269660644.332051.7
1489478581072.604938271613712.3950617284
149877316079.5-7306.5
1508320981072.60493827162136.3950617284
15193815106666.875-12851.875
15286687106666.875-19979.875
1533455340269.8888888889-5716.88888888889
154105547106666.875-1119.875
155103487106666.875-3179.875
156213688143135.28571428670552.7142857143
1577122081072.6049382716-9852.6049382716
1582351728041.1948051948-4524.19480519481
1595692660644.3-3718.3
1609172181072.604938271610648.3950617284
161115168106666.8758501.125
16211119460644.350549.7
1635100944120.72727272736888.27272727273
164135777106666.87529110.125
1655151381072.6049382716-29559.6049382716
1667416381072.6049382716-6909.6049382716
1675163381072.6049382716-29439.6049382716
1687534581072.6049382716-5727.6049382716
1693341644120.7272727273-10704.7272727273
1708330540269.888888888943035.1111111111
1719895281072.604938271617879.3950617284
172102372143135.285714286-40763.2857142857
1733723840269.8888888889-3031.88888888889
174103772106666.875-2894.875
17512396981072.604938271642896.3950617284
1762714240269.8888888889-13127.8888888889
177135400106666.87528733.125
1782139928041.1948051948-6642.19480519481
179130115106666.87523448.125
1802487428041.1948051948-3167.19480519481
1813498828041.19480519486946.80519480519
1824554940269.88888888895279.11111111111
18360236288.77777777778-265.777777777777
1846446681072.6049382716-16606.6049382716
18554990106666.875-51676.875
18616446288.77777777778-4644.77777777778
18761796288.77777777778-109.777777777777
18839266288.77777777778-2362.77777777778
1893275544120.7272727273-11365.7272727273
1903477760644.3-25867.3
1917322481072.6049382716-7848.6049382716
1922711416079.511034.5
1932076028041.1948051948-7281.19480519481
1943763628041.19480519489594.80519480519
1956546144120.727272727321340.2727272727
1963008044120.7272727273-14040.7272727273
1972409428041.1948051948-3947.19480519481
1986900844120.727272727324887.2727272727
1995496844120.727272727310847.2727272727
2004609044120.72727272731969.27272727273
2012750728041.1948051948-534.194805194806
202106726288.777777777784383.22222222222
2033402928041.19480519485987.80519480519
2044630028041.194805194818258.8051948052
2052476040269.8888888889-15509.8888888889
2061877916079.52699.5
2072128028041.1948051948-6761.19480519481
2084066240269.8888888889392.111111111109
2092898728041.1948051948945.805194805194
2102282728041.1948051948-5214.19480519481
2111851328041.1948051948-9528.19480519481
2123059428041.19480519482552.80519480519
2132400628041.1948051948-4035.19480519481
2142791328041.1948051948-128.194805194806
2154274416079.526664.5
2161293416079.5-3145.5
2172257428041.1948051948-5467.19480519481
2184138528041.194805194813343.8051948052
2191865328041.1948051948-9388.19480519481
2201847216079.52392.5
2213097628041.19480519482934.80519480519
2226333940269.888888888923069.1111111111
2232556844120.7272727273-18552.7272727273
2243374728041.19480519485705.80519480519
22541546288.77777777778-2134.77777777778
2261947444120.7272727273-24646.7272727273
2273513028041.19480519487088.80519480519
2283906744120.7272727273-5053.72727272727
2291331028041.1948051948-14731.1948051948
2306589240269.888888888925622.1111111111
231414316079.5-11936.5
2322857928041.1948051948537.805194805194
2335177640269.888888888911506.1111111111
2342115228041.1948051948-6889.19480519481
2353808428041.194805194810042.8051948052
2362771728041.1948051948-324.194805194806
2373292828041.19480519484886.80519480519
2381134228041.1948051948-16699.1948051948
2391949928041.1948051948-8542.19480519481
2401638028041.1948051948-11661.1948051948
2413687428041.19480519488832.80519480519
2424825944120.72727272734138.27272727273
2431673428041.1948051948-11307.1948051948
2442820728041.1948051948165.805194805194
2453014328041.19480519482101.80519480519
2464136928041.194805194813327.8051948052
2474583344120.72727272731712.27272727273
2482915628041.19480519481114.80519480519
2493594428041.19480519487902.80519480519
2503627828041.19480519488236.80519480519
2514558840269.88888888895318.11111111111
2524509744120.7272727273976.272727272728
25338956288.77777777778-2393.77777777778
2542839428041.1948051948352.805194805194
2551863228041.1948051948-9409.19480519481
25623256288.77777777778-3963.77777777778
2572513928041.1948051948-2902.19480519481
2582797528041.1948051948-66.1948051948057
2591448316079.5-1596.5
260131276288.777777777786838.22222222222
261583916079.5-10240.5
2622406928041.1948051948-3972.19480519481
26337386288.77777777778-2550.77777777778
2641862528041.1948051948-9416.19480519481
2653634128041.19480519488299.80519480519
2662454828041.1948051948-3493.19480519481
2672179228041.1948051948-6249.19480519481
2682626328041.1948051948-1778.19480519481
2692368628041.1948051948-4355.19480519481
2704930344120.72727272735182.27272727273
2712565940269.8888888889-14610.8888888889
2722890428041.1948051948862.805194805194
273278116079.5-13298.5
2742923628041.19480519481194.80519480519
2751954628041.1948051948-8495.19480519481
2762281828041.1948051948-5223.19480519481
2773268916079.516609.5
27857526288.77777777778-536.777777777777
2792219728041.1948051948-5844.19480519481
2802005528041.1948051948-7986.19480519481
2812527228041.1948051948-2769.19480519481
2828220628041.194805194854164.8051948052
2833207328041.19480519484031.80519480519
28454446288.77777777778-844.777777777777
2852015416079.54074.5
2863694428041.19480519488902.80519480519
287801916079.5-8060.5
2883088444120.7272727273-13236.7272727273
2891954028041.1948051948-8501.19480519481



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')
}