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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSun, 14 Dec 2014 09:14:32 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/14/t1418548632d15i6ira39yow7i.htm/, Retrieved Thu, 16 May 2024 06:05:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267345, Retrieved Thu, 16 May 2024 06:05:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Intrinsieke Motiv...] [2014-12-14 09:14:32] [bb0aed7161c0ff58fa3546abfe008fc8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
149 26 8 7 4
152 51 18 18 9
139 57 18 20 4
148 37 12 9 5
158 67 24 19 4
128 43 16 12 4
224 52 19 16 9
159 52 16 17 8
105 43 15 9 11
159 84 28 28 4
167 67 21 20 4
165 49 18 16 6
159 70 22 22 4
119 52 19 17 8
176 58 22 12 4
54 68 25 18 4
91 62 20 20 11
163 43 16 12 4
124 56 19 16 4
137 56 18 16 6
121 74 26 21 6
153 65 24 15 4
148 63 20 17 8
221 58 19 17 5
188 57 19 17 4
149 63 23 18 9
244 53 18 15 4
148 57 16 20 7
92 51 18 13 10
150 64 21 21 4
153 53 20 12 4
94 29 15 6 7
156 54 19 13 12
146 51 27 6 4
132 58 19 19 7
161 43 7 12 5
105 51 20 14 8
97 53 20 13 5
151 54 19 12 4
131 56 19 17 9
166 61 20 19 7
157 47 18 10 4
111 39 14 10 4
145 48 17 11 4
162 50 17 11 4
163 35 8 10 4
59 30 9 7 7
187 68 22 22 4
109 49 20 12 7
90 61 20 18 4
105 67 22 20 4
83 47 22 9 4
116 56 22 16 4
42 50 16 14 8
148 43 14 11 4
155 67 24 20 4
125 62 21 17 4
116 57 20 14 4
128 41 20 8 7
138 54 18 16 12
49 45 14 11 4
96 48 19 10 4
164 61 24 15 4
162 56 19 15 5
99 41 16 10 15
202 43 16 10 5
186 53 16 18 10
66 44 14 10 9
183 66 22 22 8
214 58 21 16 4
188 46 15 10 5
104 37 14 7 4
177 51 15 16 9
126 51 14 16 4
76 56 20 16 10
99 66 21 22 4
157 45 17 13 7
139 37 14 5 4
78 59 19 18 6
162 42 16 10 7
108 38 13 8 5
159 66 26 16 4
74 34 13 8 4
110 53 18 16 4
96 49 15 14 4
116 55 18 15 4
87 49 21 9 4
97 59 17 21 6
127 40 18 7 10
106 58 20 17 7
80 60 18 18 4
74 63 25 16 4
91 56 20 16 7
133 54 19 14 4
74 52 18 15 8
114 34 12 8 11
140 69 22 22 6
95 32 16 5 14
98 48 18 13 5
121 67 23 22 4
126 58 20 18 8
98 57 20 15 9
95 42 16 11 4
110 64 22 19 4
70 58 19 19 5
102 66 23 21 4
86 26 6 4 5
130 61 19 17 4
96 52 24 10 4
102 51 19 13 7
100 55 15 15 10
94 50 18 11 4
52 60 18 20 5
98 56 22 13 4
118 63 23 18 4
99 61 18 20 4
48 52 17 15 6
50 16 6 4 4
150 46 22 9 8
154 56 20 18 5
109 52 16 12 4
68 55 16 17 17
194 50 17 12 4
158 59 20 16 4
159 60 23 17 8
67 52 18 14 4
147 44 13 13 7
39 67 22 20 4
100 52 20 16 4
111 55 20 15 5
138 37 13 10 7
101 54 16 16 4
131 72 25 21 4
101 51 16 15 7
114 48 15 16 11
165 60 19 19 7
114 50 19 9 4
111 63 24 19 4
75 33 9 7 4
82 67 22 23 4
121 46 15 14 4
32 54 22 10 4
150 59 22 16 6
117 61 24 12 8
71 33 12 10 23
165 47 21 7 4
154 69 25 20 8
126 52 26 9 6
138 55 19 14 4
149 55 21 12 4
145 41 14 10 7
120 73 28 19 4
138 51 16 16 4
109 52 21 11 4
132 50 16 15 4
172 51 16 14 10
169 60 25 11 6
114 56 21 14 5
156 56 22 15 5
172 29 9 7 4
68 66 20 22 4
89 66 19 19 5
167 73 24 22 5
113 55 22 11 5
115 64 22 19 5
78 40 12 9 4
118 46 17 11 6
87 58 18 17 4
173 43 10 12 4
2 61 22 17 4
162 51 24 10 9
49 50 18 17 18
122 52 18 13 6
96 54 23 11 5
100 66 21 19 4
82 61 21 21 11
100 80 28 24 4
115 51 17 13 10
141 56 21 16 6
165 56 21 13 8
165 56 20 15 8
110 53 18 15 6
118 47 17 11 8
158 25 7 7 4
146 47 17 13 4
49 46 14 13 9
90 50 18 12 9
121 39 14 8 5
155 51 23 7 4
104 58 20 17 4
147 35 14 9 15
110 58 17 18 10
108 60 21 17 9
113 62 23 17 7
115 63 24 18 9
61 53 21 12 6
60 46 14 14 4
109 67 24 22 7
68 59 16 19 4
111 64 21 21 7
77 38 8 10 4
73 50 17 16 15
151 48 18 11 4
89 48 17 15 9
78 47 16 12 4
110 66 22 21 4
220 47 17 22 28
65 63 21 20 4
141 58 20 15 4
117 44 20 9 4
122 51 19 15 5
63 43 8 14 4
44 55 19 11 4
52 38 11 9 12
62 56 15 18 5
131 45 13 12 4
101 50 18 11 6
42 54 19 14 6
152 57 23 10 5
107 60 20 18 4
77 55 22 11 4
154 56 19 14 4
103 49 16 16 10
96 37 11 11 7
154 43 11 8 4
175 59 21 16 4
57 46 14 13 7
112 51 21 12 4
143 58 20 17 4
49 64 21 23 12
110 53 20 14 5
131 48 19 10 8
167 51 19 16 6
56 47 18 11 17
137 59 20 16 4
86 62 21 19 5
121 62 22 17 4
149 51 19 12 5
168 64 23 17 5
140 52 16 11 6
88 67 23 19 4
168 50 18 12 4
94 54 23 8 4
51 58 20 17 6
48 56 20 13 8
145 63 23 17 10
66 31 13 7 4
85 65 21 23 5
109 71 26 18 4
63 50 18 13 4
102 57 19 17 4
162 47 18 13 16
128 54 19 13 4
86 47 18 8 7
114 57 19 16 4
164 43 13 14 4
119 41 10 13 14
126 63 21 19 5
132 63 24 15 5
142 56 21 15 5
83 51 23 8 5
94 50 18 14 7
81 22 11 7 19
166 41 16 11 16
110 59 20 17 4
64 56 20 19 4
93 66 26 17 7
104 53 21 12 9
105 42 12 12 5
49 52 15 18 14
88 54 18 16 4
95 44 14 15 16
102 62 18 20 10
99 53 16 16 5
63 50 19 12 6
76 36 7 10 4
109 76 21 28 4
117 66 24 19 4
57 62 21 18 5
120 59 20 19 4
73 47 22 8 4
91 55 17 17 5
108 58 19 16 4
105 60 20 18 4
117 44 16 12 5
119 57 20 17 8
31 45 16 13 15

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 9 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267345&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]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267345&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267345&T=0

As an alternative you can also use a QR Code:  
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 time9 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 111.605 -0.607958AMS.I[t] + 1.73005AMS.I2[t] + 0.68404AMS.I3[t] -0.731181AMS.A[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
LFM[t] =  +  111.605 -0.607958AMS.I[t] +  1.73005AMS.I2[t] +  0.68404AMS.I3[t] -0.731181AMS.A[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267345&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]LFM[t] =  +  111.605 -0.607958AMS.I[t] +  1.73005AMS.I2[t] +  0.68404AMS.I3[t] -0.731181AMS.A[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267345&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267345&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 111.605 -0.607958AMS.I[t] + 1.73005AMS.I2[t] + 0.68404AMS.I3[t] -0.731181AMS.A[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)111.60517.06526.542.88304e-101.44152e-10
AMS.I-0.6079580.925326-0.6570.5117030.255852
AMS.I21.730051.338721.2920.1973050.0986527
AMS.I30.684041.400440.48840.6256120.312806
AMS.A-0.7311810.768706-0.95120.3423250.171163

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 111.605 & 17.0652 & 6.54 & 2.88304e-10 & 1.44152e-10 \tabularnewline
AMS.I & -0.607958 & 0.925326 & -0.657 & 0.511703 & 0.255852 \tabularnewline
AMS.I2 & 1.73005 & 1.33872 & 1.292 & 0.197305 & 0.0986527 \tabularnewline
AMS.I3 & 0.68404 & 1.40044 & 0.4884 & 0.625612 & 0.312806 \tabularnewline
AMS.A & -0.731181 & 0.768706 & -0.9512 & 0.342325 & 0.171163 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267345&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]111.605[/C][C]17.0652[/C][C]6.54[/C][C]2.88304e-10[/C][C]1.44152e-10[/C][/ROW]
[ROW][C]AMS.I[/C][C]-0.607958[/C][C]0.925326[/C][C]-0.657[/C][C]0.511703[/C][C]0.255852[/C][/ROW]
[ROW][C]AMS.I2[/C][C]1.73005[/C][C]1.33872[/C][C]1.292[/C][C]0.197305[/C][C]0.0986527[/C][/ROW]
[ROW][C]AMS.I3[/C][C]0.68404[/C][C]1.40044[/C][C]0.4884[/C][C]0.625612[/C][C]0.312806[/C][/ROW]
[ROW][C]AMS.A[/C][C]-0.731181[/C][C]0.768706[/C][C]-0.9512[/C][C]0.342325[/C][C]0.171163[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267345&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267345&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)111.60517.06526.542.88304e-101.44152e-10
AMS.I-0.6079580.925326-0.6570.5117030.255852
AMS.I21.730051.338721.2920.1973050.0986527
AMS.I30.684041.400440.48840.6256120.312806
AMS.A-0.7311810.768706-0.95120.3423250.171163






Multiple Linear Regression - Regression Statistics
Multiple R0.117751
R-squared0.0138653
Adjusted R-squared-0.000122469
F-TEST (value)0.991245
F-TEST (DF numerator)4
F-TEST (DF denominator)282
p-value0.412639
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation39.6779
Sum Squared Residuals443963

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.117751 \tabularnewline
R-squared & 0.0138653 \tabularnewline
Adjusted R-squared & -0.000122469 \tabularnewline
F-TEST (value) & 0.991245 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 282 \tabularnewline
p-value & 0.412639 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 39.6779 \tabularnewline
Sum Squared Residuals & 443963 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267345&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.117751[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0138653[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]-0.000122469[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]0.991245[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]282[/C][/ROW]
[ROW][C]p-value[/C][C]0.412639[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]39.6779[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]443963[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267345&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267345&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Regression Statistics
Multiple R0.117751
R-squared0.0138653
Adjusted R-squared-0.000122469
F-TEST (value)0.991245
F-TEST (DF numerator)4
F-TEST (DF denominator)282
p-value0.412639
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation39.6779
Sum Squared Residuals443963






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1149111.50237.4979
2152117.47234.5279
3139118.84820.1516
4148112.37235.6283
5158122.46535.535
6128118.4279.57261
7224117.226106.774
8159113.45145.5488
9105109.527-4.52696
10159125.20633.7937
11167117.95949.0411
12165119.51445.4865
13159119.23339.7668
14119118.6410.35862
15176119.68856.3117
1654122.903-68.9031
1791114.15-23.1504
18163118.42744.5726
19124118.455.54977
20137115.25821.7422
21121121.575-0.575147
22153120.94532.0552
23148113.68434.3161
24221117.187103.813
25188118.52669.4737
26149118.82730.1731
27244117.86126.14
28148113.19534.8053
2992113.321-21.3208
30150120.46729.5331
31153119.26833.732
3294118.911-24.911
33156111.76544.2354
34146128.4917.51
35132117.09314.9071
36161102.12658.8742
37105118.927-13.9273
3897119.221-22.2209
39151116.9334.07
40131115.47815.5216
41166116.99949.0009
42157118.08838.9124
43111116.031-5.03105
44145116.43428.5664
45162115.21846.7823
46163108.08354.9174
4759108.607-49.6068
48187120.44966.5509
49109119.506-10.5063
5090118.509-28.5086
51105119.689-14.689
5283124.324-41.3237
53116123.64-7.64037
5442112.615-70.615
55148114.28333.7167
56155123.14931.8509
57125118.9476.05338
58116118.204-2.20424
59128121.6346.36621
60138112.08725.9133
6149113.067-64.0673
6296119.21-23.2097
63164123.37740.6234
64162117.03544.965
6599110.232-11.2322
66202116.32885.6719
67186112.06573.935
6866109.335-43.3354
69183118.7464.2597
70214120.69493.3056
71188112.77475.2258
72104115.195-11.1948
73177110.91466.0861
74126112.8413.1602
7576115.793-39.7932
7699119.935-20.935
77157117.43239.568
78139113.82725.1732
7978116.532-38.5321
80162115.47446.5263
81108112.81-4.8097
82159124.48134.519
8374115.973-41.9727
84110118.544-8.54406
8596114.418-18.4177
86116116.644-0.644104
8787121.378-34.3778
8897115.124-18.1241
89127115.90411.0959
90106117.455-11.4549
9180115.656-35.6564
9274124.575-50.5748
9391117.987-26.9867
94133118.29814.7019
9574115.543-41.5433
96114109.1244.8756
97140118.37921.6212
9895113.015-18.0148
9998118.801-20.8006
100121122.787-1.78712
101126117.4088.59228
10298115.232-17.2324
10395118.351-23.3513
104110120.829-10.8288
10570118.555-48.5553
106102122.711-20.711
10786105.259-19.2587
108130116.09413.9055
10996125.428-29.4281
110102117.244-15.2444
111100107.067-7.06687
11294116.948-22.9477
11352116.293-64.2933
11498121.588-23.5883
115118122.483-4.48279
11699116.417-17.4166
11748115.276-67.2756
11850112.069-62.0695
119150122.00727.993
120154120.81733.1828
121109112.956-3.95577
12268105.047-37.0467
123194115.90278.0983
124158118.35639.6436
125159120.69838.3021
12667117.784-50.7839
127147111.1235.8802
12839119.689-80.689
129100122.612-22.6121
130111119.373-8.37302
131138113.32324.6766
132101114.476-13.476
133131122.5238.47662
134101113.422-12.4223
135114111.2752.72456
136165115.87749.123
137114117.31-3.30971
138111124.897-13.8969
13975108.976-33.9764
14082121.741-39.7411
141121116.2424.75845
14232120.752-88.7521
143150120.35429.6459
144117118.4-1.39979
14571102.326-31.3263
146165121.22643.7744
147154120.73833.2615
148126126.742-0.741756
149138117.6920.3099
150149119.78229.2179
151145112.62232.3784
152120125.737-5.73748
153138116.321.7001
154109120.922-11.922
155132116.22415.7762
156172110.54561.4553
157169121.51647.4839
158114119.811-5.81107
159156122.22533.7748
160172111.40860.5917
16168118.205-50.2049
16289113.692-24.6916
163167120.13846.8618
164113120.097-7.09695
165115120.098-5.09764
16678111.279-33.279
167118116.1871.81284
16887116.188-29.1883
169173108.04764.9529
1702121.285-119.285
171162122.3839.6199
17249110.815-61.8154
173122115.6386.36246
17496122.435-26.435
175100117.883-17.8829
17682117.172-35.1725
177100124.902-24.902
178115111.5913.40928
179141120.44820.552
180165116.93348.0665
181165116.57248.4285
182110116.398-6.39766
183118114.1173.88316
184158110.3847.62
185146118.4127.5904
18649110.172-61.1716
18790113.976-23.9759
188121113.9327.06821
189155122.25432.7461
190104119.648-15.6484
191147109.73637.2641
192110110.755-0.755212
193108116.507-8.50663
194113120.213-7.21317
195115120.557-5.55693
19661119.536-58.5357
19760114.512-54.5115
198109122.324-13.3236
19968113.488-45.4883
200111118.273-7.27331
20177106.259-29.2587
20273110.595-37.5949
203151118.16432.8363
20489115.514-26.5139
20578115.996-37.9956
206110120.981-10.981
207220107.018112.982
20865120.391-55.3908
209141118.2822.7197
210117122.688-5.6875
211122120.0751.9252
21263105.955-42.9551
21344115.638-71.638
21452104.915-52.9154
21562112.167-50.1669
216131112.02118.9787
217101115.485-14.4854
21842116.836-74.8357
219152119.92732.073
220107119.117-12.1165
22177120.828-43.8281
222154117.08236.9178
223103113.129-10.1287
22496110.547-14.5473
225154107.04146.959
226175120.08654.9135
22757111.634-54.6339
228112122.214-10.214
229143119.64823.3516
23049115.985-66.9855
231110119.905-9.90489
232131116.28514.7151
233167120.02846.9723
23456109.266-53.2663
235137118.35618.6436
23686119.584-33.5835
237121120.6770.323337
238149118.02330.9773
239168120.4647.5404
240140110.80929.1906
24188120.735-32.735
242168117.63250.3682
24394121.114-27.114
24451118.186-67.186
24548115.203-67.2034
246145117.41227.5883
24766117.113-51.1126
24885120.496-35.4958
249109122.809-13.8093
25063118.316-55.3158
251102118.526-16.5263
252162111.36650.6345
253128117.61410.386
25486114.526-28.5259
255114117.842-3.84227
256164114.60549.3947
257119102.63516.3647
258126118.9767.02444
259132121.4310.5705
260142120.49521.5049
26183122.207-39.2067
26294116.806-22.8063
26381108.156-27.1564
264166110.18555.8149
265110119.04-9.04044
26664122.232-58.2324
26793122.971-29.9715
268104117.342-13.3421
269105111.384-6.38398
27049108.018-59.0181
27188117.936-29.9361
27295107.637-12.6373
273102111.422-9.42151
27499114.353-15.3528
27563117.899-54.8995
27676105.745-29.7446
277109117.96-8.95963
278117123.073-6.073
27957118.899-61.8995
280120120.409-0.408523
28173123.64-50.6397
28291115.551-24.551
283108117.234-9.23432
284105119.117-14.1165
285117117.088-0.088251
286119117.3321.66836
28731109.853-78.8525

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 149 & 111.502 & 37.4979 \tabularnewline
2 & 152 & 117.472 & 34.5279 \tabularnewline
3 & 139 & 118.848 & 20.1516 \tabularnewline
4 & 148 & 112.372 & 35.6283 \tabularnewline
5 & 158 & 122.465 & 35.535 \tabularnewline
6 & 128 & 118.427 & 9.57261 \tabularnewline
7 & 224 & 117.226 & 106.774 \tabularnewline
8 & 159 & 113.451 & 45.5488 \tabularnewline
9 & 105 & 109.527 & -4.52696 \tabularnewline
10 & 159 & 125.206 & 33.7937 \tabularnewline
11 & 167 & 117.959 & 49.0411 \tabularnewline
12 & 165 & 119.514 & 45.4865 \tabularnewline
13 & 159 & 119.233 & 39.7668 \tabularnewline
14 & 119 & 118.641 & 0.35862 \tabularnewline
15 & 176 & 119.688 & 56.3117 \tabularnewline
16 & 54 & 122.903 & -68.9031 \tabularnewline
17 & 91 & 114.15 & -23.1504 \tabularnewline
18 & 163 & 118.427 & 44.5726 \tabularnewline
19 & 124 & 118.45 & 5.54977 \tabularnewline
20 & 137 & 115.258 & 21.7422 \tabularnewline
21 & 121 & 121.575 & -0.575147 \tabularnewline
22 & 153 & 120.945 & 32.0552 \tabularnewline
23 & 148 & 113.684 & 34.3161 \tabularnewline
24 & 221 & 117.187 & 103.813 \tabularnewline
25 & 188 & 118.526 & 69.4737 \tabularnewline
26 & 149 & 118.827 & 30.1731 \tabularnewline
27 & 244 & 117.86 & 126.14 \tabularnewline
28 & 148 & 113.195 & 34.8053 \tabularnewline
29 & 92 & 113.321 & -21.3208 \tabularnewline
30 & 150 & 120.467 & 29.5331 \tabularnewline
31 & 153 & 119.268 & 33.732 \tabularnewline
32 & 94 & 118.911 & -24.911 \tabularnewline
33 & 156 & 111.765 & 44.2354 \tabularnewline
34 & 146 & 128.49 & 17.51 \tabularnewline
35 & 132 & 117.093 & 14.9071 \tabularnewline
36 & 161 & 102.126 & 58.8742 \tabularnewline
37 & 105 & 118.927 & -13.9273 \tabularnewline
38 & 97 & 119.221 & -22.2209 \tabularnewline
39 & 151 & 116.93 & 34.07 \tabularnewline
40 & 131 & 115.478 & 15.5216 \tabularnewline
41 & 166 & 116.999 & 49.0009 \tabularnewline
42 & 157 & 118.088 & 38.9124 \tabularnewline
43 & 111 & 116.031 & -5.03105 \tabularnewline
44 & 145 & 116.434 & 28.5664 \tabularnewline
45 & 162 & 115.218 & 46.7823 \tabularnewline
46 & 163 & 108.083 & 54.9174 \tabularnewline
47 & 59 & 108.607 & -49.6068 \tabularnewline
48 & 187 & 120.449 & 66.5509 \tabularnewline
49 & 109 & 119.506 & -10.5063 \tabularnewline
50 & 90 & 118.509 & -28.5086 \tabularnewline
51 & 105 & 119.689 & -14.689 \tabularnewline
52 & 83 & 124.324 & -41.3237 \tabularnewline
53 & 116 & 123.64 & -7.64037 \tabularnewline
54 & 42 & 112.615 & -70.615 \tabularnewline
55 & 148 & 114.283 & 33.7167 \tabularnewline
56 & 155 & 123.149 & 31.8509 \tabularnewline
57 & 125 & 118.947 & 6.05338 \tabularnewline
58 & 116 & 118.204 & -2.20424 \tabularnewline
59 & 128 & 121.634 & 6.36621 \tabularnewline
60 & 138 & 112.087 & 25.9133 \tabularnewline
61 & 49 & 113.067 & -64.0673 \tabularnewline
62 & 96 & 119.21 & -23.2097 \tabularnewline
63 & 164 & 123.377 & 40.6234 \tabularnewline
64 & 162 & 117.035 & 44.965 \tabularnewline
65 & 99 & 110.232 & -11.2322 \tabularnewline
66 & 202 & 116.328 & 85.6719 \tabularnewline
67 & 186 & 112.065 & 73.935 \tabularnewline
68 & 66 & 109.335 & -43.3354 \tabularnewline
69 & 183 & 118.74 & 64.2597 \tabularnewline
70 & 214 & 120.694 & 93.3056 \tabularnewline
71 & 188 & 112.774 & 75.2258 \tabularnewline
72 & 104 & 115.195 & -11.1948 \tabularnewline
73 & 177 & 110.914 & 66.0861 \tabularnewline
74 & 126 & 112.84 & 13.1602 \tabularnewline
75 & 76 & 115.793 & -39.7932 \tabularnewline
76 & 99 & 119.935 & -20.935 \tabularnewline
77 & 157 & 117.432 & 39.568 \tabularnewline
78 & 139 & 113.827 & 25.1732 \tabularnewline
79 & 78 & 116.532 & -38.5321 \tabularnewline
80 & 162 & 115.474 & 46.5263 \tabularnewline
81 & 108 & 112.81 & -4.8097 \tabularnewline
82 & 159 & 124.481 & 34.519 \tabularnewline
83 & 74 & 115.973 & -41.9727 \tabularnewline
84 & 110 & 118.544 & -8.54406 \tabularnewline
85 & 96 & 114.418 & -18.4177 \tabularnewline
86 & 116 & 116.644 & -0.644104 \tabularnewline
87 & 87 & 121.378 & -34.3778 \tabularnewline
88 & 97 & 115.124 & -18.1241 \tabularnewline
89 & 127 & 115.904 & 11.0959 \tabularnewline
90 & 106 & 117.455 & -11.4549 \tabularnewline
91 & 80 & 115.656 & -35.6564 \tabularnewline
92 & 74 & 124.575 & -50.5748 \tabularnewline
93 & 91 & 117.987 & -26.9867 \tabularnewline
94 & 133 & 118.298 & 14.7019 \tabularnewline
95 & 74 & 115.543 & -41.5433 \tabularnewline
96 & 114 & 109.124 & 4.8756 \tabularnewline
97 & 140 & 118.379 & 21.6212 \tabularnewline
98 & 95 & 113.015 & -18.0148 \tabularnewline
99 & 98 & 118.801 & -20.8006 \tabularnewline
100 & 121 & 122.787 & -1.78712 \tabularnewline
101 & 126 & 117.408 & 8.59228 \tabularnewline
102 & 98 & 115.232 & -17.2324 \tabularnewline
103 & 95 & 118.351 & -23.3513 \tabularnewline
104 & 110 & 120.829 & -10.8288 \tabularnewline
105 & 70 & 118.555 & -48.5553 \tabularnewline
106 & 102 & 122.711 & -20.711 \tabularnewline
107 & 86 & 105.259 & -19.2587 \tabularnewline
108 & 130 & 116.094 & 13.9055 \tabularnewline
109 & 96 & 125.428 & -29.4281 \tabularnewline
110 & 102 & 117.244 & -15.2444 \tabularnewline
111 & 100 & 107.067 & -7.06687 \tabularnewline
112 & 94 & 116.948 & -22.9477 \tabularnewline
113 & 52 & 116.293 & -64.2933 \tabularnewline
114 & 98 & 121.588 & -23.5883 \tabularnewline
115 & 118 & 122.483 & -4.48279 \tabularnewline
116 & 99 & 116.417 & -17.4166 \tabularnewline
117 & 48 & 115.276 & -67.2756 \tabularnewline
118 & 50 & 112.069 & -62.0695 \tabularnewline
119 & 150 & 122.007 & 27.993 \tabularnewline
120 & 154 & 120.817 & 33.1828 \tabularnewline
121 & 109 & 112.956 & -3.95577 \tabularnewline
122 & 68 & 105.047 & -37.0467 \tabularnewline
123 & 194 & 115.902 & 78.0983 \tabularnewline
124 & 158 & 118.356 & 39.6436 \tabularnewline
125 & 159 & 120.698 & 38.3021 \tabularnewline
126 & 67 & 117.784 & -50.7839 \tabularnewline
127 & 147 & 111.12 & 35.8802 \tabularnewline
128 & 39 & 119.689 & -80.689 \tabularnewline
129 & 100 & 122.612 & -22.6121 \tabularnewline
130 & 111 & 119.373 & -8.37302 \tabularnewline
131 & 138 & 113.323 & 24.6766 \tabularnewline
132 & 101 & 114.476 & -13.476 \tabularnewline
133 & 131 & 122.523 & 8.47662 \tabularnewline
134 & 101 & 113.422 & -12.4223 \tabularnewline
135 & 114 & 111.275 & 2.72456 \tabularnewline
136 & 165 & 115.877 & 49.123 \tabularnewline
137 & 114 & 117.31 & -3.30971 \tabularnewline
138 & 111 & 124.897 & -13.8969 \tabularnewline
139 & 75 & 108.976 & -33.9764 \tabularnewline
140 & 82 & 121.741 & -39.7411 \tabularnewline
141 & 121 & 116.242 & 4.75845 \tabularnewline
142 & 32 & 120.752 & -88.7521 \tabularnewline
143 & 150 & 120.354 & 29.6459 \tabularnewline
144 & 117 & 118.4 & -1.39979 \tabularnewline
145 & 71 & 102.326 & -31.3263 \tabularnewline
146 & 165 & 121.226 & 43.7744 \tabularnewline
147 & 154 & 120.738 & 33.2615 \tabularnewline
148 & 126 & 126.742 & -0.741756 \tabularnewline
149 & 138 & 117.69 & 20.3099 \tabularnewline
150 & 149 & 119.782 & 29.2179 \tabularnewline
151 & 145 & 112.622 & 32.3784 \tabularnewline
152 & 120 & 125.737 & -5.73748 \tabularnewline
153 & 138 & 116.3 & 21.7001 \tabularnewline
154 & 109 & 120.922 & -11.922 \tabularnewline
155 & 132 & 116.224 & 15.7762 \tabularnewline
156 & 172 & 110.545 & 61.4553 \tabularnewline
157 & 169 & 121.516 & 47.4839 \tabularnewline
158 & 114 & 119.811 & -5.81107 \tabularnewline
159 & 156 & 122.225 & 33.7748 \tabularnewline
160 & 172 & 111.408 & 60.5917 \tabularnewline
161 & 68 & 118.205 & -50.2049 \tabularnewline
162 & 89 & 113.692 & -24.6916 \tabularnewline
163 & 167 & 120.138 & 46.8618 \tabularnewline
164 & 113 & 120.097 & -7.09695 \tabularnewline
165 & 115 & 120.098 & -5.09764 \tabularnewline
166 & 78 & 111.279 & -33.279 \tabularnewline
167 & 118 & 116.187 & 1.81284 \tabularnewline
168 & 87 & 116.188 & -29.1883 \tabularnewline
169 & 173 & 108.047 & 64.9529 \tabularnewline
170 & 2 & 121.285 & -119.285 \tabularnewline
171 & 162 & 122.38 & 39.6199 \tabularnewline
172 & 49 & 110.815 & -61.8154 \tabularnewline
173 & 122 & 115.638 & 6.36246 \tabularnewline
174 & 96 & 122.435 & -26.435 \tabularnewline
175 & 100 & 117.883 & -17.8829 \tabularnewline
176 & 82 & 117.172 & -35.1725 \tabularnewline
177 & 100 & 124.902 & -24.902 \tabularnewline
178 & 115 & 111.591 & 3.40928 \tabularnewline
179 & 141 & 120.448 & 20.552 \tabularnewline
180 & 165 & 116.933 & 48.0665 \tabularnewline
181 & 165 & 116.572 & 48.4285 \tabularnewline
182 & 110 & 116.398 & -6.39766 \tabularnewline
183 & 118 & 114.117 & 3.88316 \tabularnewline
184 & 158 & 110.38 & 47.62 \tabularnewline
185 & 146 & 118.41 & 27.5904 \tabularnewline
186 & 49 & 110.172 & -61.1716 \tabularnewline
187 & 90 & 113.976 & -23.9759 \tabularnewline
188 & 121 & 113.932 & 7.06821 \tabularnewline
189 & 155 & 122.254 & 32.7461 \tabularnewline
190 & 104 & 119.648 & -15.6484 \tabularnewline
191 & 147 & 109.736 & 37.2641 \tabularnewline
192 & 110 & 110.755 & -0.755212 \tabularnewline
193 & 108 & 116.507 & -8.50663 \tabularnewline
194 & 113 & 120.213 & -7.21317 \tabularnewline
195 & 115 & 120.557 & -5.55693 \tabularnewline
196 & 61 & 119.536 & -58.5357 \tabularnewline
197 & 60 & 114.512 & -54.5115 \tabularnewline
198 & 109 & 122.324 & -13.3236 \tabularnewline
199 & 68 & 113.488 & -45.4883 \tabularnewline
200 & 111 & 118.273 & -7.27331 \tabularnewline
201 & 77 & 106.259 & -29.2587 \tabularnewline
202 & 73 & 110.595 & -37.5949 \tabularnewline
203 & 151 & 118.164 & 32.8363 \tabularnewline
204 & 89 & 115.514 & -26.5139 \tabularnewline
205 & 78 & 115.996 & -37.9956 \tabularnewline
206 & 110 & 120.981 & -10.981 \tabularnewline
207 & 220 & 107.018 & 112.982 \tabularnewline
208 & 65 & 120.391 & -55.3908 \tabularnewline
209 & 141 & 118.28 & 22.7197 \tabularnewline
210 & 117 & 122.688 & -5.6875 \tabularnewline
211 & 122 & 120.075 & 1.9252 \tabularnewline
212 & 63 & 105.955 & -42.9551 \tabularnewline
213 & 44 & 115.638 & -71.638 \tabularnewline
214 & 52 & 104.915 & -52.9154 \tabularnewline
215 & 62 & 112.167 & -50.1669 \tabularnewline
216 & 131 & 112.021 & 18.9787 \tabularnewline
217 & 101 & 115.485 & -14.4854 \tabularnewline
218 & 42 & 116.836 & -74.8357 \tabularnewline
219 & 152 & 119.927 & 32.073 \tabularnewline
220 & 107 & 119.117 & -12.1165 \tabularnewline
221 & 77 & 120.828 & -43.8281 \tabularnewline
222 & 154 & 117.082 & 36.9178 \tabularnewline
223 & 103 & 113.129 & -10.1287 \tabularnewline
224 & 96 & 110.547 & -14.5473 \tabularnewline
225 & 154 & 107.041 & 46.959 \tabularnewline
226 & 175 & 120.086 & 54.9135 \tabularnewline
227 & 57 & 111.634 & -54.6339 \tabularnewline
228 & 112 & 122.214 & -10.214 \tabularnewline
229 & 143 & 119.648 & 23.3516 \tabularnewline
230 & 49 & 115.985 & -66.9855 \tabularnewline
231 & 110 & 119.905 & -9.90489 \tabularnewline
232 & 131 & 116.285 & 14.7151 \tabularnewline
233 & 167 & 120.028 & 46.9723 \tabularnewline
234 & 56 & 109.266 & -53.2663 \tabularnewline
235 & 137 & 118.356 & 18.6436 \tabularnewline
236 & 86 & 119.584 & -33.5835 \tabularnewline
237 & 121 & 120.677 & 0.323337 \tabularnewline
238 & 149 & 118.023 & 30.9773 \tabularnewline
239 & 168 & 120.46 & 47.5404 \tabularnewline
240 & 140 & 110.809 & 29.1906 \tabularnewline
241 & 88 & 120.735 & -32.735 \tabularnewline
242 & 168 & 117.632 & 50.3682 \tabularnewline
243 & 94 & 121.114 & -27.114 \tabularnewline
244 & 51 & 118.186 & -67.186 \tabularnewline
245 & 48 & 115.203 & -67.2034 \tabularnewline
246 & 145 & 117.412 & 27.5883 \tabularnewline
247 & 66 & 117.113 & -51.1126 \tabularnewline
248 & 85 & 120.496 & -35.4958 \tabularnewline
249 & 109 & 122.809 & -13.8093 \tabularnewline
250 & 63 & 118.316 & -55.3158 \tabularnewline
251 & 102 & 118.526 & -16.5263 \tabularnewline
252 & 162 & 111.366 & 50.6345 \tabularnewline
253 & 128 & 117.614 & 10.386 \tabularnewline
254 & 86 & 114.526 & -28.5259 \tabularnewline
255 & 114 & 117.842 & -3.84227 \tabularnewline
256 & 164 & 114.605 & 49.3947 \tabularnewline
257 & 119 & 102.635 & 16.3647 \tabularnewline
258 & 126 & 118.976 & 7.02444 \tabularnewline
259 & 132 & 121.43 & 10.5705 \tabularnewline
260 & 142 & 120.495 & 21.5049 \tabularnewline
261 & 83 & 122.207 & -39.2067 \tabularnewline
262 & 94 & 116.806 & -22.8063 \tabularnewline
263 & 81 & 108.156 & -27.1564 \tabularnewline
264 & 166 & 110.185 & 55.8149 \tabularnewline
265 & 110 & 119.04 & -9.04044 \tabularnewline
266 & 64 & 122.232 & -58.2324 \tabularnewline
267 & 93 & 122.971 & -29.9715 \tabularnewline
268 & 104 & 117.342 & -13.3421 \tabularnewline
269 & 105 & 111.384 & -6.38398 \tabularnewline
270 & 49 & 108.018 & -59.0181 \tabularnewline
271 & 88 & 117.936 & -29.9361 \tabularnewline
272 & 95 & 107.637 & -12.6373 \tabularnewline
273 & 102 & 111.422 & -9.42151 \tabularnewline
274 & 99 & 114.353 & -15.3528 \tabularnewline
275 & 63 & 117.899 & -54.8995 \tabularnewline
276 & 76 & 105.745 & -29.7446 \tabularnewline
277 & 109 & 117.96 & -8.95963 \tabularnewline
278 & 117 & 123.073 & -6.073 \tabularnewline
279 & 57 & 118.899 & -61.8995 \tabularnewline
280 & 120 & 120.409 & -0.408523 \tabularnewline
281 & 73 & 123.64 & -50.6397 \tabularnewline
282 & 91 & 115.551 & -24.551 \tabularnewline
283 & 108 & 117.234 & -9.23432 \tabularnewline
284 & 105 & 119.117 & -14.1165 \tabularnewline
285 & 117 & 117.088 & -0.088251 \tabularnewline
286 & 119 & 117.332 & 1.66836 \tabularnewline
287 & 31 & 109.853 & -78.8525 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267345&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]149[/C][C]111.502[/C][C]37.4979[/C][/ROW]
[ROW][C]2[/C][C]152[/C][C]117.472[/C][C]34.5279[/C][/ROW]
[ROW][C]3[/C][C]139[/C][C]118.848[/C][C]20.1516[/C][/ROW]
[ROW][C]4[/C][C]148[/C][C]112.372[/C][C]35.6283[/C][/ROW]
[ROW][C]5[/C][C]158[/C][C]122.465[/C][C]35.535[/C][/ROW]
[ROW][C]6[/C][C]128[/C][C]118.427[/C][C]9.57261[/C][/ROW]
[ROW][C]7[/C][C]224[/C][C]117.226[/C][C]106.774[/C][/ROW]
[ROW][C]8[/C][C]159[/C][C]113.451[/C][C]45.5488[/C][/ROW]
[ROW][C]9[/C][C]105[/C][C]109.527[/C][C]-4.52696[/C][/ROW]
[ROW][C]10[/C][C]159[/C][C]125.206[/C][C]33.7937[/C][/ROW]
[ROW][C]11[/C][C]167[/C][C]117.959[/C][C]49.0411[/C][/ROW]
[ROW][C]12[/C][C]165[/C][C]119.514[/C][C]45.4865[/C][/ROW]
[ROW][C]13[/C][C]159[/C][C]119.233[/C][C]39.7668[/C][/ROW]
[ROW][C]14[/C][C]119[/C][C]118.641[/C][C]0.35862[/C][/ROW]
[ROW][C]15[/C][C]176[/C][C]119.688[/C][C]56.3117[/C][/ROW]
[ROW][C]16[/C][C]54[/C][C]122.903[/C][C]-68.9031[/C][/ROW]
[ROW][C]17[/C][C]91[/C][C]114.15[/C][C]-23.1504[/C][/ROW]
[ROW][C]18[/C][C]163[/C][C]118.427[/C][C]44.5726[/C][/ROW]
[ROW][C]19[/C][C]124[/C][C]118.45[/C][C]5.54977[/C][/ROW]
[ROW][C]20[/C][C]137[/C][C]115.258[/C][C]21.7422[/C][/ROW]
[ROW][C]21[/C][C]121[/C][C]121.575[/C][C]-0.575147[/C][/ROW]
[ROW][C]22[/C][C]153[/C][C]120.945[/C][C]32.0552[/C][/ROW]
[ROW][C]23[/C][C]148[/C][C]113.684[/C][C]34.3161[/C][/ROW]
[ROW][C]24[/C][C]221[/C][C]117.187[/C][C]103.813[/C][/ROW]
[ROW][C]25[/C][C]188[/C][C]118.526[/C][C]69.4737[/C][/ROW]
[ROW][C]26[/C][C]149[/C][C]118.827[/C][C]30.1731[/C][/ROW]
[ROW][C]27[/C][C]244[/C][C]117.86[/C][C]126.14[/C][/ROW]
[ROW][C]28[/C][C]148[/C][C]113.195[/C][C]34.8053[/C][/ROW]
[ROW][C]29[/C][C]92[/C][C]113.321[/C][C]-21.3208[/C][/ROW]
[ROW][C]30[/C][C]150[/C][C]120.467[/C][C]29.5331[/C][/ROW]
[ROW][C]31[/C][C]153[/C][C]119.268[/C][C]33.732[/C][/ROW]
[ROW][C]32[/C][C]94[/C][C]118.911[/C][C]-24.911[/C][/ROW]
[ROW][C]33[/C][C]156[/C][C]111.765[/C][C]44.2354[/C][/ROW]
[ROW][C]34[/C][C]146[/C][C]128.49[/C][C]17.51[/C][/ROW]
[ROW][C]35[/C][C]132[/C][C]117.093[/C][C]14.9071[/C][/ROW]
[ROW][C]36[/C][C]161[/C][C]102.126[/C][C]58.8742[/C][/ROW]
[ROW][C]37[/C][C]105[/C][C]118.927[/C][C]-13.9273[/C][/ROW]
[ROW][C]38[/C][C]97[/C][C]119.221[/C][C]-22.2209[/C][/ROW]
[ROW][C]39[/C][C]151[/C][C]116.93[/C][C]34.07[/C][/ROW]
[ROW][C]40[/C][C]131[/C][C]115.478[/C][C]15.5216[/C][/ROW]
[ROW][C]41[/C][C]166[/C][C]116.999[/C][C]49.0009[/C][/ROW]
[ROW][C]42[/C][C]157[/C][C]118.088[/C][C]38.9124[/C][/ROW]
[ROW][C]43[/C][C]111[/C][C]116.031[/C][C]-5.03105[/C][/ROW]
[ROW][C]44[/C][C]145[/C][C]116.434[/C][C]28.5664[/C][/ROW]
[ROW][C]45[/C][C]162[/C][C]115.218[/C][C]46.7823[/C][/ROW]
[ROW][C]46[/C][C]163[/C][C]108.083[/C][C]54.9174[/C][/ROW]
[ROW][C]47[/C][C]59[/C][C]108.607[/C][C]-49.6068[/C][/ROW]
[ROW][C]48[/C][C]187[/C][C]120.449[/C][C]66.5509[/C][/ROW]
[ROW][C]49[/C][C]109[/C][C]119.506[/C][C]-10.5063[/C][/ROW]
[ROW][C]50[/C][C]90[/C][C]118.509[/C][C]-28.5086[/C][/ROW]
[ROW][C]51[/C][C]105[/C][C]119.689[/C][C]-14.689[/C][/ROW]
[ROW][C]52[/C][C]83[/C][C]124.324[/C][C]-41.3237[/C][/ROW]
[ROW][C]53[/C][C]116[/C][C]123.64[/C][C]-7.64037[/C][/ROW]
[ROW][C]54[/C][C]42[/C][C]112.615[/C][C]-70.615[/C][/ROW]
[ROW][C]55[/C][C]148[/C][C]114.283[/C][C]33.7167[/C][/ROW]
[ROW][C]56[/C][C]155[/C][C]123.149[/C][C]31.8509[/C][/ROW]
[ROW][C]57[/C][C]125[/C][C]118.947[/C][C]6.05338[/C][/ROW]
[ROW][C]58[/C][C]116[/C][C]118.204[/C][C]-2.20424[/C][/ROW]
[ROW][C]59[/C][C]128[/C][C]121.634[/C][C]6.36621[/C][/ROW]
[ROW][C]60[/C][C]138[/C][C]112.087[/C][C]25.9133[/C][/ROW]
[ROW][C]61[/C][C]49[/C][C]113.067[/C][C]-64.0673[/C][/ROW]
[ROW][C]62[/C][C]96[/C][C]119.21[/C][C]-23.2097[/C][/ROW]
[ROW][C]63[/C][C]164[/C][C]123.377[/C][C]40.6234[/C][/ROW]
[ROW][C]64[/C][C]162[/C][C]117.035[/C][C]44.965[/C][/ROW]
[ROW][C]65[/C][C]99[/C][C]110.232[/C][C]-11.2322[/C][/ROW]
[ROW][C]66[/C][C]202[/C][C]116.328[/C][C]85.6719[/C][/ROW]
[ROW][C]67[/C][C]186[/C][C]112.065[/C][C]73.935[/C][/ROW]
[ROW][C]68[/C][C]66[/C][C]109.335[/C][C]-43.3354[/C][/ROW]
[ROW][C]69[/C][C]183[/C][C]118.74[/C][C]64.2597[/C][/ROW]
[ROW][C]70[/C][C]214[/C][C]120.694[/C][C]93.3056[/C][/ROW]
[ROW][C]71[/C][C]188[/C][C]112.774[/C][C]75.2258[/C][/ROW]
[ROW][C]72[/C][C]104[/C][C]115.195[/C][C]-11.1948[/C][/ROW]
[ROW][C]73[/C][C]177[/C][C]110.914[/C][C]66.0861[/C][/ROW]
[ROW][C]74[/C][C]126[/C][C]112.84[/C][C]13.1602[/C][/ROW]
[ROW][C]75[/C][C]76[/C][C]115.793[/C][C]-39.7932[/C][/ROW]
[ROW][C]76[/C][C]99[/C][C]119.935[/C][C]-20.935[/C][/ROW]
[ROW][C]77[/C][C]157[/C][C]117.432[/C][C]39.568[/C][/ROW]
[ROW][C]78[/C][C]139[/C][C]113.827[/C][C]25.1732[/C][/ROW]
[ROW][C]79[/C][C]78[/C][C]116.532[/C][C]-38.5321[/C][/ROW]
[ROW][C]80[/C][C]162[/C][C]115.474[/C][C]46.5263[/C][/ROW]
[ROW][C]81[/C][C]108[/C][C]112.81[/C][C]-4.8097[/C][/ROW]
[ROW][C]82[/C][C]159[/C][C]124.481[/C][C]34.519[/C][/ROW]
[ROW][C]83[/C][C]74[/C][C]115.973[/C][C]-41.9727[/C][/ROW]
[ROW][C]84[/C][C]110[/C][C]118.544[/C][C]-8.54406[/C][/ROW]
[ROW][C]85[/C][C]96[/C][C]114.418[/C][C]-18.4177[/C][/ROW]
[ROW][C]86[/C][C]116[/C][C]116.644[/C][C]-0.644104[/C][/ROW]
[ROW][C]87[/C][C]87[/C][C]121.378[/C][C]-34.3778[/C][/ROW]
[ROW][C]88[/C][C]97[/C][C]115.124[/C][C]-18.1241[/C][/ROW]
[ROW][C]89[/C][C]127[/C][C]115.904[/C][C]11.0959[/C][/ROW]
[ROW][C]90[/C][C]106[/C][C]117.455[/C][C]-11.4549[/C][/ROW]
[ROW][C]91[/C][C]80[/C][C]115.656[/C][C]-35.6564[/C][/ROW]
[ROW][C]92[/C][C]74[/C][C]124.575[/C][C]-50.5748[/C][/ROW]
[ROW][C]93[/C][C]91[/C][C]117.987[/C][C]-26.9867[/C][/ROW]
[ROW][C]94[/C][C]133[/C][C]118.298[/C][C]14.7019[/C][/ROW]
[ROW][C]95[/C][C]74[/C][C]115.543[/C][C]-41.5433[/C][/ROW]
[ROW][C]96[/C][C]114[/C][C]109.124[/C][C]4.8756[/C][/ROW]
[ROW][C]97[/C][C]140[/C][C]118.379[/C][C]21.6212[/C][/ROW]
[ROW][C]98[/C][C]95[/C][C]113.015[/C][C]-18.0148[/C][/ROW]
[ROW][C]99[/C][C]98[/C][C]118.801[/C][C]-20.8006[/C][/ROW]
[ROW][C]100[/C][C]121[/C][C]122.787[/C][C]-1.78712[/C][/ROW]
[ROW][C]101[/C][C]126[/C][C]117.408[/C][C]8.59228[/C][/ROW]
[ROW][C]102[/C][C]98[/C][C]115.232[/C][C]-17.2324[/C][/ROW]
[ROW][C]103[/C][C]95[/C][C]118.351[/C][C]-23.3513[/C][/ROW]
[ROW][C]104[/C][C]110[/C][C]120.829[/C][C]-10.8288[/C][/ROW]
[ROW][C]105[/C][C]70[/C][C]118.555[/C][C]-48.5553[/C][/ROW]
[ROW][C]106[/C][C]102[/C][C]122.711[/C][C]-20.711[/C][/ROW]
[ROW][C]107[/C][C]86[/C][C]105.259[/C][C]-19.2587[/C][/ROW]
[ROW][C]108[/C][C]130[/C][C]116.094[/C][C]13.9055[/C][/ROW]
[ROW][C]109[/C][C]96[/C][C]125.428[/C][C]-29.4281[/C][/ROW]
[ROW][C]110[/C][C]102[/C][C]117.244[/C][C]-15.2444[/C][/ROW]
[ROW][C]111[/C][C]100[/C][C]107.067[/C][C]-7.06687[/C][/ROW]
[ROW][C]112[/C][C]94[/C][C]116.948[/C][C]-22.9477[/C][/ROW]
[ROW][C]113[/C][C]52[/C][C]116.293[/C][C]-64.2933[/C][/ROW]
[ROW][C]114[/C][C]98[/C][C]121.588[/C][C]-23.5883[/C][/ROW]
[ROW][C]115[/C][C]118[/C][C]122.483[/C][C]-4.48279[/C][/ROW]
[ROW][C]116[/C][C]99[/C][C]116.417[/C][C]-17.4166[/C][/ROW]
[ROW][C]117[/C][C]48[/C][C]115.276[/C][C]-67.2756[/C][/ROW]
[ROW][C]118[/C][C]50[/C][C]112.069[/C][C]-62.0695[/C][/ROW]
[ROW][C]119[/C][C]150[/C][C]122.007[/C][C]27.993[/C][/ROW]
[ROW][C]120[/C][C]154[/C][C]120.817[/C][C]33.1828[/C][/ROW]
[ROW][C]121[/C][C]109[/C][C]112.956[/C][C]-3.95577[/C][/ROW]
[ROW][C]122[/C][C]68[/C][C]105.047[/C][C]-37.0467[/C][/ROW]
[ROW][C]123[/C][C]194[/C][C]115.902[/C][C]78.0983[/C][/ROW]
[ROW][C]124[/C][C]158[/C][C]118.356[/C][C]39.6436[/C][/ROW]
[ROW][C]125[/C][C]159[/C][C]120.698[/C][C]38.3021[/C][/ROW]
[ROW][C]126[/C][C]67[/C][C]117.784[/C][C]-50.7839[/C][/ROW]
[ROW][C]127[/C][C]147[/C][C]111.12[/C][C]35.8802[/C][/ROW]
[ROW][C]128[/C][C]39[/C][C]119.689[/C][C]-80.689[/C][/ROW]
[ROW][C]129[/C][C]100[/C][C]122.612[/C][C]-22.6121[/C][/ROW]
[ROW][C]130[/C][C]111[/C][C]119.373[/C][C]-8.37302[/C][/ROW]
[ROW][C]131[/C][C]138[/C][C]113.323[/C][C]24.6766[/C][/ROW]
[ROW][C]132[/C][C]101[/C][C]114.476[/C][C]-13.476[/C][/ROW]
[ROW][C]133[/C][C]131[/C][C]122.523[/C][C]8.47662[/C][/ROW]
[ROW][C]134[/C][C]101[/C][C]113.422[/C][C]-12.4223[/C][/ROW]
[ROW][C]135[/C][C]114[/C][C]111.275[/C][C]2.72456[/C][/ROW]
[ROW][C]136[/C][C]165[/C][C]115.877[/C][C]49.123[/C][/ROW]
[ROW][C]137[/C][C]114[/C][C]117.31[/C][C]-3.30971[/C][/ROW]
[ROW][C]138[/C][C]111[/C][C]124.897[/C][C]-13.8969[/C][/ROW]
[ROW][C]139[/C][C]75[/C][C]108.976[/C][C]-33.9764[/C][/ROW]
[ROW][C]140[/C][C]82[/C][C]121.741[/C][C]-39.7411[/C][/ROW]
[ROW][C]141[/C][C]121[/C][C]116.242[/C][C]4.75845[/C][/ROW]
[ROW][C]142[/C][C]32[/C][C]120.752[/C][C]-88.7521[/C][/ROW]
[ROW][C]143[/C][C]150[/C][C]120.354[/C][C]29.6459[/C][/ROW]
[ROW][C]144[/C][C]117[/C][C]118.4[/C][C]-1.39979[/C][/ROW]
[ROW][C]145[/C][C]71[/C][C]102.326[/C][C]-31.3263[/C][/ROW]
[ROW][C]146[/C][C]165[/C][C]121.226[/C][C]43.7744[/C][/ROW]
[ROW][C]147[/C][C]154[/C][C]120.738[/C][C]33.2615[/C][/ROW]
[ROW][C]148[/C][C]126[/C][C]126.742[/C][C]-0.741756[/C][/ROW]
[ROW][C]149[/C][C]138[/C][C]117.69[/C][C]20.3099[/C][/ROW]
[ROW][C]150[/C][C]149[/C][C]119.782[/C][C]29.2179[/C][/ROW]
[ROW][C]151[/C][C]145[/C][C]112.622[/C][C]32.3784[/C][/ROW]
[ROW][C]152[/C][C]120[/C][C]125.737[/C][C]-5.73748[/C][/ROW]
[ROW][C]153[/C][C]138[/C][C]116.3[/C][C]21.7001[/C][/ROW]
[ROW][C]154[/C][C]109[/C][C]120.922[/C][C]-11.922[/C][/ROW]
[ROW][C]155[/C][C]132[/C][C]116.224[/C][C]15.7762[/C][/ROW]
[ROW][C]156[/C][C]172[/C][C]110.545[/C][C]61.4553[/C][/ROW]
[ROW][C]157[/C][C]169[/C][C]121.516[/C][C]47.4839[/C][/ROW]
[ROW][C]158[/C][C]114[/C][C]119.811[/C][C]-5.81107[/C][/ROW]
[ROW][C]159[/C][C]156[/C][C]122.225[/C][C]33.7748[/C][/ROW]
[ROW][C]160[/C][C]172[/C][C]111.408[/C][C]60.5917[/C][/ROW]
[ROW][C]161[/C][C]68[/C][C]118.205[/C][C]-50.2049[/C][/ROW]
[ROW][C]162[/C][C]89[/C][C]113.692[/C][C]-24.6916[/C][/ROW]
[ROW][C]163[/C][C]167[/C][C]120.138[/C][C]46.8618[/C][/ROW]
[ROW][C]164[/C][C]113[/C][C]120.097[/C][C]-7.09695[/C][/ROW]
[ROW][C]165[/C][C]115[/C][C]120.098[/C][C]-5.09764[/C][/ROW]
[ROW][C]166[/C][C]78[/C][C]111.279[/C][C]-33.279[/C][/ROW]
[ROW][C]167[/C][C]118[/C][C]116.187[/C][C]1.81284[/C][/ROW]
[ROW][C]168[/C][C]87[/C][C]116.188[/C][C]-29.1883[/C][/ROW]
[ROW][C]169[/C][C]173[/C][C]108.047[/C][C]64.9529[/C][/ROW]
[ROW][C]170[/C][C]2[/C][C]121.285[/C][C]-119.285[/C][/ROW]
[ROW][C]171[/C][C]162[/C][C]122.38[/C][C]39.6199[/C][/ROW]
[ROW][C]172[/C][C]49[/C][C]110.815[/C][C]-61.8154[/C][/ROW]
[ROW][C]173[/C][C]122[/C][C]115.638[/C][C]6.36246[/C][/ROW]
[ROW][C]174[/C][C]96[/C][C]122.435[/C][C]-26.435[/C][/ROW]
[ROW][C]175[/C][C]100[/C][C]117.883[/C][C]-17.8829[/C][/ROW]
[ROW][C]176[/C][C]82[/C][C]117.172[/C][C]-35.1725[/C][/ROW]
[ROW][C]177[/C][C]100[/C][C]124.902[/C][C]-24.902[/C][/ROW]
[ROW][C]178[/C][C]115[/C][C]111.591[/C][C]3.40928[/C][/ROW]
[ROW][C]179[/C][C]141[/C][C]120.448[/C][C]20.552[/C][/ROW]
[ROW][C]180[/C][C]165[/C][C]116.933[/C][C]48.0665[/C][/ROW]
[ROW][C]181[/C][C]165[/C][C]116.572[/C][C]48.4285[/C][/ROW]
[ROW][C]182[/C][C]110[/C][C]116.398[/C][C]-6.39766[/C][/ROW]
[ROW][C]183[/C][C]118[/C][C]114.117[/C][C]3.88316[/C][/ROW]
[ROW][C]184[/C][C]158[/C][C]110.38[/C][C]47.62[/C][/ROW]
[ROW][C]185[/C][C]146[/C][C]118.41[/C][C]27.5904[/C][/ROW]
[ROW][C]186[/C][C]49[/C][C]110.172[/C][C]-61.1716[/C][/ROW]
[ROW][C]187[/C][C]90[/C][C]113.976[/C][C]-23.9759[/C][/ROW]
[ROW][C]188[/C][C]121[/C][C]113.932[/C][C]7.06821[/C][/ROW]
[ROW][C]189[/C][C]155[/C][C]122.254[/C][C]32.7461[/C][/ROW]
[ROW][C]190[/C][C]104[/C][C]119.648[/C][C]-15.6484[/C][/ROW]
[ROW][C]191[/C][C]147[/C][C]109.736[/C][C]37.2641[/C][/ROW]
[ROW][C]192[/C][C]110[/C][C]110.755[/C][C]-0.755212[/C][/ROW]
[ROW][C]193[/C][C]108[/C][C]116.507[/C][C]-8.50663[/C][/ROW]
[ROW][C]194[/C][C]113[/C][C]120.213[/C][C]-7.21317[/C][/ROW]
[ROW][C]195[/C][C]115[/C][C]120.557[/C][C]-5.55693[/C][/ROW]
[ROW][C]196[/C][C]61[/C][C]119.536[/C][C]-58.5357[/C][/ROW]
[ROW][C]197[/C][C]60[/C][C]114.512[/C][C]-54.5115[/C][/ROW]
[ROW][C]198[/C][C]109[/C][C]122.324[/C][C]-13.3236[/C][/ROW]
[ROW][C]199[/C][C]68[/C][C]113.488[/C][C]-45.4883[/C][/ROW]
[ROW][C]200[/C][C]111[/C][C]118.273[/C][C]-7.27331[/C][/ROW]
[ROW][C]201[/C][C]77[/C][C]106.259[/C][C]-29.2587[/C][/ROW]
[ROW][C]202[/C][C]73[/C][C]110.595[/C][C]-37.5949[/C][/ROW]
[ROW][C]203[/C][C]151[/C][C]118.164[/C][C]32.8363[/C][/ROW]
[ROW][C]204[/C][C]89[/C][C]115.514[/C][C]-26.5139[/C][/ROW]
[ROW][C]205[/C][C]78[/C][C]115.996[/C][C]-37.9956[/C][/ROW]
[ROW][C]206[/C][C]110[/C][C]120.981[/C][C]-10.981[/C][/ROW]
[ROW][C]207[/C][C]220[/C][C]107.018[/C][C]112.982[/C][/ROW]
[ROW][C]208[/C][C]65[/C][C]120.391[/C][C]-55.3908[/C][/ROW]
[ROW][C]209[/C][C]141[/C][C]118.28[/C][C]22.7197[/C][/ROW]
[ROW][C]210[/C][C]117[/C][C]122.688[/C][C]-5.6875[/C][/ROW]
[ROW][C]211[/C][C]122[/C][C]120.075[/C][C]1.9252[/C][/ROW]
[ROW][C]212[/C][C]63[/C][C]105.955[/C][C]-42.9551[/C][/ROW]
[ROW][C]213[/C][C]44[/C][C]115.638[/C][C]-71.638[/C][/ROW]
[ROW][C]214[/C][C]52[/C][C]104.915[/C][C]-52.9154[/C][/ROW]
[ROW][C]215[/C][C]62[/C][C]112.167[/C][C]-50.1669[/C][/ROW]
[ROW][C]216[/C][C]131[/C][C]112.021[/C][C]18.9787[/C][/ROW]
[ROW][C]217[/C][C]101[/C][C]115.485[/C][C]-14.4854[/C][/ROW]
[ROW][C]218[/C][C]42[/C][C]116.836[/C][C]-74.8357[/C][/ROW]
[ROW][C]219[/C][C]152[/C][C]119.927[/C][C]32.073[/C][/ROW]
[ROW][C]220[/C][C]107[/C][C]119.117[/C][C]-12.1165[/C][/ROW]
[ROW][C]221[/C][C]77[/C][C]120.828[/C][C]-43.8281[/C][/ROW]
[ROW][C]222[/C][C]154[/C][C]117.082[/C][C]36.9178[/C][/ROW]
[ROW][C]223[/C][C]103[/C][C]113.129[/C][C]-10.1287[/C][/ROW]
[ROW][C]224[/C][C]96[/C][C]110.547[/C][C]-14.5473[/C][/ROW]
[ROW][C]225[/C][C]154[/C][C]107.041[/C][C]46.959[/C][/ROW]
[ROW][C]226[/C][C]175[/C][C]120.086[/C][C]54.9135[/C][/ROW]
[ROW][C]227[/C][C]57[/C][C]111.634[/C][C]-54.6339[/C][/ROW]
[ROW][C]228[/C][C]112[/C][C]122.214[/C][C]-10.214[/C][/ROW]
[ROW][C]229[/C][C]143[/C][C]119.648[/C][C]23.3516[/C][/ROW]
[ROW][C]230[/C][C]49[/C][C]115.985[/C][C]-66.9855[/C][/ROW]
[ROW][C]231[/C][C]110[/C][C]119.905[/C][C]-9.90489[/C][/ROW]
[ROW][C]232[/C][C]131[/C][C]116.285[/C][C]14.7151[/C][/ROW]
[ROW][C]233[/C][C]167[/C][C]120.028[/C][C]46.9723[/C][/ROW]
[ROW][C]234[/C][C]56[/C][C]109.266[/C][C]-53.2663[/C][/ROW]
[ROW][C]235[/C][C]137[/C][C]118.356[/C][C]18.6436[/C][/ROW]
[ROW][C]236[/C][C]86[/C][C]119.584[/C][C]-33.5835[/C][/ROW]
[ROW][C]237[/C][C]121[/C][C]120.677[/C][C]0.323337[/C][/ROW]
[ROW][C]238[/C][C]149[/C][C]118.023[/C][C]30.9773[/C][/ROW]
[ROW][C]239[/C][C]168[/C][C]120.46[/C][C]47.5404[/C][/ROW]
[ROW][C]240[/C][C]140[/C][C]110.809[/C][C]29.1906[/C][/ROW]
[ROW][C]241[/C][C]88[/C][C]120.735[/C][C]-32.735[/C][/ROW]
[ROW][C]242[/C][C]168[/C][C]117.632[/C][C]50.3682[/C][/ROW]
[ROW][C]243[/C][C]94[/C][C]121.114[/C][C]-27.114[/C][/ROW]
[ROW][C]244[/C][C]51[/C][C]118.186[/C][C]-67.186[/C][/ROW]
[ROW][C]245[/C][C]48[/C][C]115.203[/C][C]-67.2034[/C][/ROW]
[ROW][C]246[/C][C]145[/C][C]117.412[/C][C]27.5883[/C][/ROW]
[ROW][C]247[/C][C]66[/C][C]117.113[/C][C]-51.1126[/C][/ROW]
[ROW][C]248[/C][C]85[/C][C]120.496[/C][C]-35.4958[/C][/ROW]
[ROW][C]249[/C][C]109[/C][C]122.809[/C][C]-13.8093[/C][/ROW]
[ROW][C]250[/C][C]63[/C][C]118.316[/C][C]-55.3158[/C][/ROW]
[ROW][C]251[/C][C]102[/C][C]118.526[/C][C]-16.5263[/C][/ROW]
[ROW][C]252[/C][C]162[/C][C]111.366[/C][C]50.6345[/C][/ROW]
[ROW][C]253[/C][C]128[/C][C]117.614[/C][C]10.386[/C][/ROW]
[ROW][C]254[/C][C]86[/C][C]114.526[/C][C]-28.5259[/C][/ROW]
[ROW][C]255[/C][C]114[/C][C]117.842[/C][C]-3.84227[/C][/ROW]
[ROW][C]256[/C][C]164[/C][C]114.605[/C][C]49.3947[/C][/ROW]
[ROW][C]257[/C][C]119[/C][C]102.635[/C][C]16.3647[/C][/ROW]
[ROW][C]258[/C][C]126[/C][C]118.976[/C][C]7.02444[/C][/ROW]
[ROW][C]259[/C][C]132[/C][C]121.43[/C][C]10.5705[/C][/ROW]
[ROW][C]260[/C][C]142[/C][C]120.495[/C][C]21.5049[/C][/ROW]
[ROW][C]261[/C][C]83[/C][C]122.207[/C][C]-39.2067[/C][/ROW]
[ROW][C]262[/C][C]94[/C][C]116.806[/C][C]-22.8063[/C][/ROW]
[ROW][C]263[/C][C]81[/C][C]108.156[/C][C]-27.1564[/C][/ROW]
[ROW][C]264[/C][C]166[/C][C]110.185[/C][C]55.8149[/C][/ROW]
[ROW][C]265[/C][C]110[/C][C]119.04[/C][C]-9.04044[/C][/ROW]
[ROW][C]266[/C][C]64[/C][C]122.232[/C][C]-58.2324[/C][/ROW]
[ROW][C]267[/C][C]93[/C][C]122.971[/C][C]-29.9715[/C][/ROW]
[ROW][C]268[/C][C]104[/C][C]117.342[/C][C]-13.3421[/C][/ROW]
[ROW][C]269[/C][C]105[/C][C]111.384[/C][C]-6.38398[/C][/ROW]
[ROW][C]270[/C][C]49[/C][C]108.018[/C][C]-59.0181[/C][/ROW]
[ROW][C]271[/C][C]88[/C][C]117.936[/C][C]-29.9361[/C][/ROW]
[ROW][C]272[/C][C]95[/C][C]107.637[/C][C]-12.6373[/C][/ROW]
[ROW][C]273[/C][C]102[/C][C]111.422[/C][C]-9.42151[/C][/ROW]
[ROW][C]274[/C][C]99[/C][C]114.353[/C][C]-15.3528[/C][/ROW]
[ROW][C]275[/C][C]63[/C][C]117.899[/C][C]-54.8995[/C][/ROW]
[ROW][C]276[/C][C]76[/C][C]105.745[/C][C]-29.7446[/C][/ROW]
[ROW][C]277[/C][C]109[/C][C]117.96[/C][C]-8.95963[/C][/ROW]
[ROW][C]278[/C][C]117[/C][C]123.073[/C][C]-6.073[/C][/ROW]
[ROW][C]279[/C][C]57[/C][C]118.899[/C][C]-61.8995[/C][/ROW]
[ROW][C]280[/C][C]120[/C][C]120.409[/C][C]-0.408523[/C][/ROW]
[ROW][C]281[/C][C]73[/C][C]123.64[/C][C]-50.6397[/C][/ROW]
[ROW][C]282[/C][C]91[/C][C]115.551[/C][C]-24.551[/C][/ROW]
[ROW][C]283[/C][C]108[/C][C]117.234[/C][C]-9.23432[/C][/ROW]
[ROW][C]284[/C][C]105[/C][C]119.117[/C][C]-14.1165[/C][/ROW]
[ROW][C]285[/C][C]117[/C][C]117.088[/C][C]-0.088251[/C][/ROW]
[ROW][C]286[/C][C]119[/C][C]117.332[/C][C]1.66836[/C][/ROW]
[ROW][C]287[/C][C]31[/C][C]109.853[/C][C]-78.8525[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267345&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267345&T=4

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1149111.50237.4979
2152117.47234.5279
3139118.84820.1516
4148112.37235.6283
5158122.46535.535
6128118.4279.57261
7224117.226106.774
8159113.45145.5488
9105109.527-4.52696
10159125.20633.7937
11167117.95949.0411
12165119.51445.4865
13159119.23339.7668
14119118.6410.35862
15176119.68856.3117
1654122.903-68.9031
1791114.15-23.1504
18163118.42744.5726
19124118.455.54977
20137115.25821.7422
21121121.575-0.575147
22153120.94532.0552
23148113.68434.3161
24221117.187103.813
25188118.52669.4737
26149118.82730.1731
27244117.86126.14
28148113.19534.8053
2992113.321-21.3208
30150120.46729.5331
31153119.26833.732
3294118.911-24.911
33156111.76544.2354
34146128.4917.51
35132117.09314.9071
36161102.12658.8742
37105118.927-13.9273
3897119.221-22.2209
39151116.9334.07
40131115.47815.5216
41166116.99949.0009
42157118.08838.9124
43111116.031-5.03105
44145116.43428.5664
45162115.21846.7823
46163108.08354.9174
4759108.607-49.6068
48187120.44966.5509
49109119.506-10.5063
5090118.509-28.5086
51105119.689-14.689
5283124.324-41.3237
53116123.64-7.64037
5442112.615-70.615
55148114.28333.7167
56155123.14931.8509
57125118.9476.05338
58116118.204-2.20424
59128121.6346.36621
60138112.08725.9133
6149113.067-64.0673
6296119.21-23.2097
63164123.37740.6234
64162117.03544.965
6599110.232-11.2322
66202116.32885.6719
67186112.06573.935
6866109.335-43.3354
69183118.7464.2597
70214120.69493.3056
71188112.77475.2258
72104115.195-11.1948
73177110.91466.0861
74126112.8413.1602
7576115.793-39.7932
7699119.935-20.935
77157117.43239.568
78139113.82725.1732
7978116.532-38.5321
80162115.47446.5263
81108112.81-4.8097
82159124.48134.519
8374115.973-41.9727
84110118.544-8.54406
8596114.418-18.4177
86116116.644-0.644104
8787121.378-34.3778
8897115.124-18.1241
89127115.90411.0959
90106117.455-11.4549
9180115.656-35.6564
9274124.575-50.5748
9391117.987-26.9867
94133118.29814.7019
9574115.543-41.5433
96114109.1244.8756
97140118.37921.6212
9895113.015-18.0148
9998118.801-20.8006
100121122.787-1.78712
101126117.4088.59228
10298115.232-17.2324
10395118.351-23.3513
104110120.829-10.8288
10570118.555-48.5553
106102122.711-20.711
10786105.259-19.2587
108130116.09413.9055
10996125.428-29.4281
110102117.244-15.2444
111100107.067-7.06687
11294116.948-22.9477
11352116.293-64.2933
11498121.588-23.5883
115118122.483-4.48279
11699116.417-17.4166
11748115.276-67.2756
11850112.069-62.0695
119150122.00727.993
120154120.81733.1828
121109112.956-3.95577
12268105.047-37.0467
123194115.90278.0983
124158118.35639.6436
125159120.69838.3021
12667117.784-50.7839
127147111.1235.8802
12839119.689-80.689
129100122.612-22.6121
130111119.373-8.37302
131138113.32324.6766
132101114.476-13.476
133131122.5238.47662
134101113.422-12.4223
135114111.2752.72456
136165115.87749.123
137114117.31-3.30971
138111124.897-13.8969
13975108.976-33.9764
14082121.741-39.7411
141121116.2424.75845
14232120.752-88.7521
143150120.35429.6459
144117118.4-1.39979
14571102.326-31.3263
146165121.22643.7744
147154120.73833.2615
148126126.742-0.741756
149138117.6920.3099
150149119.78229.2179
151145112.62232.3784
152120125.737-5.73748
153138116.321.7001
154109120.922-11.922
155132116.22415.7762
156172110.54561.4553
157169121.51647.4839
158114119.811-5.81107
159156122.22533.7748
160172111.40860.5917
16168118.205-50.2049
16289113.692-24.6916
163167120.13846.8618
164113120.097-7.09695
165115120.098-5.09764
16678111.279-33.279
167118116.1871.81284
16887116.188-29.1883
169173108.04764.9529
1702121.285-119.285
171162122.3839.6199
17249110.815-61.8154
173122115.6386.36246
17496122.435-26.435
175100117.883-17.8829
17682117.172-35.1725
177100124.902-24.902
178115111.5913.40928
179141120.44820.552
180165116.93348.0665
181165116.57248.4285
182110116.398-6.39766
183118114.1173.88316
184158110.3847.62
185146118.4127.5904
18649110.172-61.1716
18790113.976-23.9759
188121113.9327.06821
189155122.25432.7461
190104119.648-15.6484
191147109.73637.2641
192110110.755-0.755212
193108116.507-8.50663
194113120.213-7.21317
195115120.557-5.55693
19661119.536-58.5357
19760114.512-54.5115
198109122.324-13.3236
19968113.488-45.4883
200111118.273-7.27331
20177106.259-29.2587
20273110.595-37.5949
203151118.16432.8363
20489115.514-26.5139
20578115.996-37.9956
206110120.981-10.981
207220107.018112.982
20865120.391-55.3908
209141118.2822.7197
210117122.688-5.6875
211122120.0751.9252
21263105.955-42.9551
21344115.638-71.638
21452104.915-52.9154
21562112.167-50.1669
216131112.02118.9787
217101115.485-14.4854
21842116.836-74.8357
219152119.92732.073
220107119.117-12.1165
22177120.828-43.8281
222154117.08236.9178
223103113.129-10.1287
22496110.547-14.5473
225154107.04146.959
226175120.08654.9135
22757111.634-54.6339
228112122.214-10.214
229143119.64823.3516
23049115.985-66.9855
231110119.905-9.90489
232131116.28514.7151
233167120.02846.9723
23456109.266-53.2663
235137118.35618.6436
23686119.584-33.5835
237121120.6770.323337
238149118.02330.9773
239168120.4647.5404
240140110.80929.1906
24188120.735-32.735
242168117.63250.3682
24394121.114-27.114
24451118.186-67.186
24548115.203-67.2034
246145117.41227.5883
24766117.113-51.1126
24885120.496-35.4958
249109122.809-13.8093
25063118.316-55.3158
251102118.526-16.5263
252162111.36650.6345
253128117.61410.386
25486114.526-28.5259
255114117.842-3.84227
256164114.60549.3947
257119102.63516.3647
258126118.9767.02444
259132121.4310.5705
260142120.49521.5049
26183122.207-39.2067
26294116.806-22.8063
26381108.156-27.1564
264166110.18555.8149
265110119.04-9.04044
26664122.232-58.2324
26793122.971-29.9715
268104117.342-13.3421
269105111.384-6.38398
27049108.018-59.0181
27188117.936-29.9361
27295107.637-12.6373
273102111.422-9.42151
27499114.353-15.3528
27563117.899-54.8995
27676105.745-29.7446
277109117.96-8.95963
278117123.073-6.073
27957118.899-61.8995
280120120.409-0.408523
28173123.64-50.6397
28291115.551-24.551
283108117.234-9.23432
284105119.117-14.1165
285117117.088-0.088251
286119117.3321.66836
28731109.853-78.8525






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.3578140.7156290.642186
90.5925780.8148450.407422
100.4499240.8998480.550076
110.3895090.7790180.610491
120.2805050.5610110.719495
130.194730.3894610.80527
140.2301230.4602470.769877
150.1932070.3864140.806793
160.6356890.7286220.364311
170.6848010.6303990.315199
180.618580.762840.38142
190.564150.87170.43585
200.4881610.9763230.511839
210.418080.836160.58192
220.3702590.7405190.629741
230.3213790.6427580.678621
240.518880.9622390.48112
250.514620.9707590.48538
260.4621950.9243890.537805
270.7286090.5427820.271391
280.6841950.6316090.315805
290.6738980.6522040.326102
300.6293240.7413530.370676
310.5775340.8449320.422466
320.5761010.8477970.423899
330.5776450.8447110.422355
340.5446510.9106970.455349
350.4996670.9993350.500333
360.4655190.9310380.534481
370.4411790.8823570.558821
380.4671250.9342510.532875
390.420820.841640.57918
400.3726660.7453320.627334
410.3491330.6982650.650867
420.3120580.6241170.687942
430.3145220.6290450.685478
440.2759180.5518360.724082
450.2481490.4962980.751851
460.2249180.4498370.775082
470.3553170.7106330.644683
480.3523010.7046030.647699
490.3209280.6418570.679072
500.4031570.8063140.596843
510.4321230.8642450.567877
520.4519380.9038760.548062
530.4225790.8451580.577421
540.6187560.7624890.381244
550.5851380.8297230.414862
560.5509450.8981090.449055
570.5227910.9544190.477209
580.4970620.9941230.502938
590.4589850.917970.541015
600.4286930.8573850.571307
610.5992230.8015550.400777
620.5849780.8300440.415022
630.5721510.8556980.427849
640.5583130.8833740.441687
650.5182650.9634710.481735
660.6351730.7296540.364827
670.684730.630540.31527
680.7144530.5710950.285547
690.7330720.5338560.266928
700.8269630.3460740.173037
710.8692060.2615880.130794
720.8546880.2906240.145312
730.8734690.2530620.126531
740.8637630.2724750.136237
750.8767580.2464840.123242
760.8932380.2135230.106762
770.8881640.2236710.111836
780.8742190.2515610.125781
790.8976930.2046130.102307
800.899980.2000390.10002
810.8870460.2259070.112954
820.8784620.2430750.121538
830.8940850.211830.105915
840.8865320.2269350.113468
850.8856710.2286580.114329
860.8730330.2539340.126967
870.8721110.2557770.127889
880.876410.247180.12359
890.8589810.2820390.141019
900.8470790.3058430.152921
910.8661660.2676680.133834
920.8887550.222490.111245
930.8862220.2275570.113778
940.8703860.2592280.129614
950.8815970.2368070.118403
960.8631410.2737170.136859
970.849050.3019010.15095
980.8307420.3385150.169258
990.819440.361120.18056
1000.8023050.3953910.197695
1010.7792860.4414290.220714
1020.7621810.4756390.237819
1030.7499310.5001390.250069
1040.7321550.535690.267845
1050.7666020.4667960.233398
1060.7549950.490010.245005
1070.7429180.5141640.257082
1080.7199220.5601560.280078
1090.7059910.5880190.294009
1100.6825410.6349170.317459
1110.6607410.6785170.339259
1120.6448080.7103840.355192
1130.7232670.5534660.276733
1140.70670.58660.2933
1150.6790220.6419560.320978
1160.6650720.6698550.334928
1170.7349020.5301970.265098
1180.7761960.4476070.223804
1190.7642910.4714190.235709
1200.7562680.4874640.243732
1210.7317270.5365460.268273
1220.7334640.5330710.266536
1230.8055820.3888360.194418
1240.805460.3890790.19454
1250.8045930.3908140.195407
1260.8248860.3502270.175114
1270.8213470.3573070.178653
1280.8903710.2192590.109629
1290.8796790.2406420.120321
1300.8633340.2733330.136666
1310.8516560.2966890.148344
1320.8361240.3277510.163876
1330.8177910.3644190.182209
1340.7983160.4033680.201684
1350.7744440.4511110.225556
1360.7919210.4161580.208079
1370.7674370.4651260.232563
1380.7449830.5100340.255017
1390.7399260.5201480.260074
1400.74210.51580.2579
1410.7152150.5695710.284785
1420.8236890.3526220.176311
1430.8154330.3691350.184567
1440.7920410.4159180.207959
1450.7851640.4296720.214836
1460.790090.4198190.20991
1470.7871820.4256370.212818
1480.761920.476160.23808
1490.744240.5115210.25576
1500.7330380.5339230.266962
1510.7244580.5510850.275542
1520.6980940.6038120.301906
1530.6815860.6368290.318414
1540.6535320.6929360.346468
1550.63060.7388010.3694
1560.6820010.6359980.317999
1570.6986540.6026920.301346
1580.6697860.6604280.330214
1590.6666390.6667220.333361
1600.7141010.5717990.285899
1610.7300120.5399770.269988
1620.7148350.5703310.285165
1630.7431690.5136620.256831
1640.7160040.5679930.283996
1650.6892820.6214360.310718
1660.679970.640060.32003
1670.6494330.7011350.350567
1680.6330980.7338040.366902
1690.7089060.5821880.291094
1700.8921070.2157860.107893
1710.8920550.2158890.107945
1720.9155150.168970.084485
1730.9031030.1937930.0968966
1740.8940020.2119960.105998
1750.8805580.2388840.119442
1760.8748290.2503420.125171
1770.8613820.2772350.138618
1780.842350.31530.15765
1790.8294510.3410980.170549
1800.8479820.3040350.152018
1810.8675950.264810.132405
1820.8485450.302910.151455
1830.8283930.3432140.171607
1840.8512280.2975430.148772
1850.8490850.301830.150915
1860.8710260.2579490.128974
1870.8568570.2862870.143143
1880.8402380.3195240.159762
1890.8408950.3182110.159105
1900.8203410.3593190.179659
1910.822810.354380.17719
1920.7996080.4007850.200392
1930.7737430.4525140.226257
1940.7458730.5082530.254127
1950.7156760.5686470.284324
1960.7421960.5156090.257804
1970.7543670.4912660.245633
1980.7258930.5482130.274107
1990.7240790.5518430.275921
2000.6926280.6147430.307372
2010.669950.66010.33005
2020.6637430.6725130.336257
2030.6715570.6568860.328443
2040.6468840.7062310.353116
2050.6319680.7360640.368032
2060.5969060.8061890.403094
2070.8543130.2913730.145687
2080.864840.2703190.13516
2090.8563460.2873070.143654
2100.8333320.3333370.166668
2110.811080.377840.18892
2120.8098340.3803320.190166
2130.8670010.2659980.132999
2140.880330.239340.11967
2150.8905820.2188370.109418
2160.8760650.247870.123935
2170.8558470.2883060.144153
2180.9025620.1948760.0974378
2190.8991570.2016850.100843
2200.8800510.2398980.119949
2210.881120.237760.11888
2220.8831120.2337750.116888
2230.8620910.2758170.137909
2240.8385790.3228420.161421
2250.844380.3112390.15562
2260.8871460.2257080.112854
2270.8987750.2024510.101225
2280.8784470.2431050.121553
2290.8746440.2507120.125356
2300.8968950.206210.103105
2310.8757850.248430.124215
2320.8631140.2737720.136886
2330.905310.1893810.0946903
2340.9179230.1641540.0820769
2350.9105990.1788020.089401
2360.8970340.2059320.102966
2370.8773380.2453240.122662
2380.8872260.2255470.112774
2390.9211770.1576470.0788233
2400.9186140.1627730.0813863
2410.9041330.1917350.0958674
2420.9487890.1024220.0512112
2430.9349510.1300980.0650491
2440.9514880.0970250.0485125
2450.9693020.06139630.0306982
2460.9687160.06256870.0312844
2470.9646760.07064840.0353242
2480.9573890.08522170.0426108
2490.9434960.1130090.0565043
2500.9467430.1065150.0532575
2510.9297550.140490.0702452
2520.9647990.0704030.0352015
2530.9590380.0819230.0409615
2540.9455640.1088710.0544357
2550.9283520.1432970.0716483
2560.9671020.06579650.0328983
2570.963550.07289910.0364496
2580.9559710.08805770.0440288
2590.9521660.0956680.047834
2600.9626940.07461230.0373061
2610.948620.102760.0513799
2620.9275110.1449780.0724892
2630.9007370.1985260.0992628
2640.9933390.01332290.00666147
2650.9891760.02164880.0108244
2660.9940330.01193320.00596661
2670.9893710.02125770.0106288
2680.992650.01470090.00735046
2690.987930.02414080.0120704
2700.9870870.02582690.0129135
2710.9796740.04065190.020326
2720.9733870.05322550.0266128
2730.9825210.03495710.0174785
2740.9662780.06744430.0337221
2750.9446960.1106080.0553041
2760.8958760.2082470.104124
2770.837640.3247190.16236
2780.7471970.5056060.252803
2790.7880620.4238760.211938

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.357814 & 0.715629 & 0.642186 \tabularnewline
9 & 0.592578 & 0.814845 & 0.407422 \tabularnewline
10 & 0.449924 & 0.899848 & 0.550076 \tabularnewline
11 & 0.389509 & 0.779018 & 0.610491 \tabularnewline
12 & 0.280505 & 0.561011 & 0.719495 \tabularnewline
13 & 0.19473 & 0.389461 & 0.80527 \tabularnewline
14 & 0.230123 & 0.460247 & 0.769877 \tabularnewline
15 & 0.193207 & 0.386414 & 0.806793 \tabularnewline
16 & 0.635689 & 0.728622 & 0.364311 \tabularnewline
17 & 0.684801 & 0.630399 & 0.315199 \tabularnewline
18 & 0.61858 & 0.76284 & 0.38142 \tabularnewline
19 & 0.56415 & 0.8717 & 0.43585 \tabularnewline
20 & 0.488161 & 0.976323 & 0.511839 \tabularnewline
21 & 0.41808 & 0.83616 & 0.58192 \tabularnewline
22 & 0.370259 & 0.740519 & 0.629741 \tabularnewline
23 & 0.321379 & 0.642758 & 0.678621 \tabularnewline
24 & 0.51888 & 0.962239 & 0.48112 \tabularnewline
25 & 0.51462 & 0.970759 & 0.48538 \tabularnewline
26 & 0.462195 & 0.924389 & 0.537805 \tabularnewline
27 & 0.728609 & 0.542782 & 0.271391 \tabularnewline
28 & 0.684195 & 0.631609 & 0.315805 \tabularnewline
29 & 0.673898 & 0.652204 & 0.326102 \tabularnewline
30 & 0.629324 & 0.741353 & 0.370676 \tabularnewline
31 & 0.577534 & 0.844932 & 0.422466 \tabularnewline
32 & 0.576101 & 0.847797 & 0.423899 \tabularnewline
33 & 0.577645 & 0.844711 & 0.422355 \tabularnewline
34 & 0.544651 & 0.910697 & 0.455349 \tabularnewline
35 & 0.499667 & 0.999335 & 0.500333 \tabularnewline
36 & 0.465519 & 0.931038 & 0.534481 \tabularnewline
37 & 0.441179 & 0.882357 & 0.558821 \tabularnewline
38 & 0.467125 & 0.934251 & 0.532875 \tabularnewline
39 & 0.42082 & 0.84164 & 0.57918 \tabularnewline
40 & 0.372666 & 0.745332 & 0.627334 \tabularnewline
41 & 0.349133 & 0.698265 & 0.650867 \tabularnewline
42 & 0.312058 & 0.624117 & 0.687942 \tabularnewline
43 & 0.314522 & 0.629045 & 0.685478 \tabularnewline
44 & 0.275918 & 0.551836 & 0.724082 \tabularnewline
45 & 0.248149 & 0.496298 & 0.751851 \tabularnewline
46 & 0.224918 & 0.449837 & 0.775082 \tabularnewline
47 & 0.355317 & 0.710633 & 0.644683 \tabularnewline
48 & 0.352301 & 0.704603 & 0.647699 \tabularnewline
49 & 0.320928 & 0.641857 & 0.679072 \tabularnewline
50 & 0.403157 & 0.806314 & 0.596843 \tabularnewline
51 & 0.432123 & 0.864245 & 0.567877 \tabularnewline
52 & 0.451938 & 0.903876 & 0.548062 \tabularnewline
53 & 0.422579 & 0.845158 & 0.577421 \tabularnewline
54 & 0.618756 & 0.762489 & 0.381244 \tabularnewline
55 & 0.585138 & 0.829723 & 0.414862 \tabularnewline
56 & 0.550945 & 0.898109 & 0.449055 \tabularnewline
57 & 0.522791 & 0.954419 & 0.477209 \tabularnewline
58 & 0.497062 & 0.994123 & 0.502938 \tabularnewline
59 & 0.458985 & 0.91797 & 0.541015 \tabularnewline
60 & 0.428693 & 0.857385 & 0.571307 \tabularnewline
61 & 0.599223 & 0.801555 & 0.400777 \tabularnewline
62 & 0.584978 & 0.830044 & 0.415022 \tabularnewline
63 & 0.572151 & 0.855698 & 0.427849 \tabularnewline
64 & 0.558313 & 0.883374 & 0.441687 \tabularnewline
65 & 0.518265 & 0.963471 & 0.481735 \tabularnewline
66 & 0.635173 & 0.729654 & 0.364827 \tabularnewline
67 & 0.68473 & 0.63054 & 0.31527 \tabularnewline
68 & 0.714453 & 0.571095 & 0.285547 \tabularnewline
69 & 0.733072 & 0.533856 & 0.266928 \tabularnewline
70 & 0.826963 & 0.346074 & 0.173037 \tabularnewline
71 & 0.869206 & 0.261588 & 0.130794 \tabularnewline
72 & 0.854688 & 0.290624 & 0.145312 \tabularnewline
73 & 0.873469 & 0.253062 & 0.126531 \tabularnewline
74 & 0.863763 & 0.272475 & 0.136237 \tabularnewline
75 & 0.876758 & 0.246484 & 0.123242 \tabularnewline
76 & 0.893238 & 0.213523 & 0.106762 \tabularnewline
77 & 0.888164 & 0.223671 & 0.111836 \tabularnewline
78 & 0.874219 & 0.251561 & 0.125781 \tabularnewline
79 & 0.897693 & 0.204613 & 0.102307 \tabularnewline
80 & 0.89998 & 0.200039 & 0.10002 \tabularnewline
81 & 0.887046 & 0.225907 & 0.112954 \tabularnewline
82 & 0.878462 & 0.243075 & 0.121538 \tabularnewline
83 & 0.894085 & 0.21183 & 0.105915 \tabularnewline
84 & 0.886532 & 0.226935 & 0.113468 \tabularnewline
85 & 0.885671 & 0.228658 & 0.114329 \tabularnewline
86 & 0.873033 & 0.253934 & 0.126967 \tabularnewline
87 & 0.872111 & 0.255777 & 0.127889 \tabularnewline
88 & 0.87641 & 0.24718 & 0.12359 \tabularnewline
89 & 0.858981 & 0.282039 & 0.141019 \tabularnewline
90 & 0.847079 & 0.305843 & 0.152921 \tabularnewline
91 & 0.866166 & 0.267668 & 0.133834 \tabularnewline
92 & 0.888755 & 0.22249 & 0.111245 \tabularnewline
93 & 0.886222 & 0.227557 & 0.113778 \tabularnewline
94 & 0.870386 & 0.259228 & 0.129614 \tabularnewline
95 & 0.881597 & 0.236807 & 0.118403 \tabularnewline
96 & 0.863141 & 0.273717 & 0.136859 \tabularnewline
97 & 0.84905 & 0.301901 & 0.15095 \tabularnewline
98 & 0.830742 & 0.338515 & 0.169258 \tabularnewline
99 & 0.81944 & 0.36112 & 0.18056 \tabularnewline
100 & 0.802305 & 0.395391 & 0.197695 \tabularnewline
101 & 0.779286 & 0.441429 & 0.220714 \tabularnewline
102 & 0.762181 & 0.475639 & 0.237819 \tabularnewline
103 & 0.749931 & 0.500139 & 0.250069 \tabularnewline
104 & 0.732155 & 0.53569 & 0.267845 \tabularnewline
105 & 0.766602 & 0.466796 & 0.233398 \tabularnewline
106 & 0.754995 & 0.49001 & 0.245005 \tabularnewline
107 & 0.742918 & 0.514164 & 0.257082 \tabularnewline
108 & 0.719922 & 0.560156 & 0.280078 \tabularnewline
109 & 0.705991 & 0.588019 & 0.294009 \tabularnewline
110 & 0.682541 & 0.634917 & 0.317459 \tabularnewline
111 & 0.660741 & 0.678517 & 0.339259 \tabularnewline
112 & 0.644808 & 0.710384 & 0.355192 \tabularnewline
113 & 0.723267 & 0.553466 & 0.276733 \tabularnewline
114 & 0.7067 & 0.5866 & 0.2933 \tabularnewline
115 & 0.679022 & 0.641956 & 0.320978 \tabularnewline
116 & 0.665072 & 0.669855 & 0.334928 \tabularnewline
117 & 0.734902 & 0.530197 & 0.265098 \tabularnewline
118 & 0.776196 & 0.447607 & 0.223804 \tabularnewline
119 & 0.764291 & 0.471419 & 0.235709 \tabularnewline
120 & 0.756268 & 0.487464 & 0.243732 \tabularnewline
121 & 0.731727 & 0.536546 & 0.268273 \tabularnewline
122 & 0.733464 & 0.533071 & 0.266536 \tabularnewline
123 & 0.805582 & 0.388836 & 0.194418 \tabularnewline
124 & 0.80546 & 0.389079 & 0.19454 \tabularnewline
125 & 0.804593 & 0.390814 & 0.195407 \tabularnewline
126 & 0.824886 & 0.350227 & 0.175114 \tabularnewline
127 & 0.821347 & 0.357307 & 0.178653 \tabularnewline
128 & 0.890371 & 0.219259 & 0.109629 \tabularnewline
129 & 0.879679 & 0.240642 & 0.120321 \tabularnewline
130 & 0.863334 & 0.273333 & 0.136666 \tabularnewline
131 & 0.851656 & 0.296689 & 0.148344 \tabularnewline
132 & 0.836124 & 0.327751 & 0.163876 \tabularnewline
133 & 0.817791 & 0.364419 & 0.182209 \tabularnewline
134 & 0.798316 & 0.403368 & 0.201684 \tabularnewline
135 & 0.774444 & 0.451111 & 0.225556 \tabularnewline
136 & 0.791921 & 0.416158 & 0.208079 \tabularnewline
137 & 0.767437 & 0.465126 & 0.232563 \tabularnewline
138 & 0.744983 & 0.510034 & 0.255017 \tabularnewline
139 & 0.739926 & 0.520148 & 0.260074 \tabularnewline
140 & 0.7421 & 0.5158 & 0.2579 \tabularnewline
141 & 0.715215 & 0.569571 & 0.284785 \tabularnewline
142 & 0.823689 & 0.352622 & 0.176311 \tabularnewline
143 & 0.815433 & 0.369135 & 0.184567 \tabularnewline
144 & 0.792041 & 0.415918 & 0.207959 \tabularnewline
145 & 0.785164 & 0.429672 & 0.214836 \tabularnewline
146 & 0.79009 & 0.419819 & 0.20991 \tabularnewline
147 & 0.787182 & 0.425637 & 0.212818 \tabularnewline
148 & 0.76192 & 0.47616 & 0.23808 \tabularnewline
149 & 0.74424 & 0.511521 & 0.25576 \tabularnewline
150 & 0.733038 & 0.533923 & 0.266962 \tabularnewline
151 & 0.724458 & 0.551085 & 0.275542 \tabularnewline
152 & 0.698094 & 0.603812 & 0.301906 \tabularnewline
153 & 0.681586 & 0.636829 & 0.318414 \tabularnewline
154 & 0.653532 & 0.692936 & 0.346468 \tabularnewline
155 & 0.6306 & 0.738801 & 0.3694 \tabularnewline
156 & 0.682001 & 0.635998 & 0.317999 \tabularnewline
157 & 0.698654 & 0.602692 & 0.301346 \tabularnewline
158 & 0.669786 & 0.660428 & 0.330214 \tabularnewline
159 & 0.666639 & 0.666722 & 0.333361 \tabularnewline
160 & 0.714101 & 0.571799 & 0.285899 \tabularnewline
161 & 0.730012 & 0.539977 & 0.269988 \tabularnewline
162 & 0.714835 & 0.570331 & 0.285165 \tabularnewline
163 & 0.743169 & 0.513662 & 0.256831 \tabularnewline
164 & 0.716004 & 0.567993 & 0.283996 \tabularnewline
165 & 0.689282 & 0.621436 & 0.310718 \tabularnewline
166 & 0.67997 & 0.64006 & 0.32003 \tabularnewline
167 & 0.649433 & 0.701135 & 0.350567 \tabularnewline
168 & 0.633098 & 0.733804 & 0.366902 \tabularnewline
169 & 0.708906 & 0.582188 & 0.291094 \tabularnewline
170 & 0.892107 & 0.215786 & 0.107893 \tabularnewline
171 & 0.892055 & 0.215889 & 0.107945 \tabularnewline
172 & 0.915515 & 0.16897 & 0.084485 \tabularnewline
173 & 0.903103 & 0.193793 & 0.0968966 \tabularnewline
174 & 0.894002 & 0.211996 & 0.105998 \tabularnewline
175 & 0.880558 & 0.238884 & 0.119442 \tabularnewline
176 & 0.874829 & 0.250342 & 0.125171 \tabularnewline
177 & 0.861382 & 0.277235 & 0.138618 \tabularnewline
178 & 0.84235 & 0.3153 & 0.15765 \tabularnewline
179 & 0.829451 & 0.341098 & 0.170549 \tabularnewline
180 & 0.847982 & 0.304035 & 0.152018 \tabularnewline
181 & 0.867595 & 0.26481 & 0.132405 \tabularnewline
182 & 0.848545 & 0.30291 & 0.151455 \tabularnewline
183 & 0.828393 & 0.343214 & 0.171607 \tabularnewline
184 & 0.851228 & 0.297543 & 0.148772 \tabularnewline
185 & 0.849085 & 0.30183 & 0.150915 \tabularnewline
186 & 0.871026 & 0.257949 & 0.128974 \tabularnewline
187 & 0.856857 & 0.286287 & 0.143143 \tabularnewline
188 & 0.840238 & 0.319524 & 0.159762 \tabularnewline
189 & 0.840895 & 0.318211 & 0.159105 \tabularnewline
190 & 0.820341 & 0.359319 & 0.179659 \tabularnewline
191 & 0.82281 & 0.35438 & 0.17719 \tabularnewline
192 & 0.799608 & 0.400785 & 0.200392 \tabularnewline
193 & 0.773743 & 0.452514 & 0.226257 \tabularnewline
194 & 0.745873 & 0.508253 & 0.254127 \tabularnewline
195 & 0.715676 & 0.568647 & 0.284324 \tabularnewline
196 & 0.742196 & 0.515609 & 0.257804 \tabularnewline
197 & 0.754367 & 0.491266 & 0.245633 \tabularnewline
198 & 0.725893 & 0.548213 & 0.274107 \tabularnewline
199 & 0.724079 & 0.551843 & 0.275921 \tabularnewline
200 & 0.692628 & 0.614743 & 0.307372 \tabularnewline
201 & 0.66995 & 0.6601 & 0.33005 \tabularnewline
202 & 0.663743 & 0.672513 & 0.336257 \tabularnewline
203 & 0.671557 & 0.656886 & 0.328443 \tabularnewline
204 & 0.646884 & 0.706231 & 0.353116 \tabularnewline
205 & 0.631968 & 0.736064 & 0.368032 \tabularnewline
206 & 0.596906 & 0.806189 & 0.403094 \tabularnewline
207 & 0.854313 & 0.291373 & 0.145687 \tabularnewline
208 & 0.86484 & 0.270319 & 0.13516 \tabularnewline
209 & 0.856346 & 0.287307 & 0.143654 \tabularnewline
210 & 0.833332 & 0.333337 & 0.166668 \tabularnewline
211 & 0.81108 & 0.37784 & 0.18892 \tabularnewline
212 & 0.809834 & 0.380332 & 0.190166 \tabularnewline
213 & 0.867001 & 0.265998 & 0.132999 \tabularnewline
214 & 0.88033 & 0.23934 & 0.11967 \tabularnewline
215 & 0.890582 & 0.218837 & 0.109418 \tabularnewline
216 & 0.876065 & 0.24787 & 0.123935 \tabularnewline
217 & 0.855847 & 0.288306 & 0.144153 \tabularnewline
218 & 0.902562 & 0.194876 & 0.0974378 \tabularnewline
219 & 0.899157 & 0.201685 & 0.100843 \tabularnewline
220 & 0.880051 & 0.239898 & 0.119949 \tabularnewline
221 & 0.88112 & 0.23776 & 0.11888 \tabularnewline
222 & 0.883112 & 0.233775 & 0.116888 \tabularnewline
223 & 0.862091 & 0.275817 & 0.137909 \tabularnewline
224 & 0.838579 & 0.322842 & 0.161421 \tabularnewline
225 & 0.84438 & 0.311239 & 0.15562 \tabularnewline
226 & 0.887146 & 0.225708 & 0.112854 \tabularnewline
227 & 0.898775 & 0.202451 & 0.101225 \tabularnewline
228 & 0.878447 & 0.243105 & 0.121553 \tabularnewline
229 & 0.874644 & 0.250712 & 0.125356 \tabularnewline
230 & 0.896895 & 0.20621 & 0.103105 \tabularnewline
231 & 0.875785 & 0.24843 & 0.124215 \tabularnewline
232 & 0.863114 & 0.273772 & 0.136886 \tabularnewline
233 & 0.90531 & 0.189381 & 0.0946903 \tabularnewline
234 & 0.917923 & 0.164154 & 0.0820769 \tabularnewline
235 & 0.910599 & 0.178802 & 0.089401 \tabularnewline
236 & 0.897034 & 0.205932 & 0.102966 \tabularnewline
237 & 0.877338 & 0.245324 & 0.122662 \tabularnewline
238 & 0.887226 & 0.225547 & 0.112774 \tabularnewline
239 & 0.921177 & 0.157647 & 0.0788233 \tabularnewline
240 & 0.918614 & 0.162773 & 0.0813863 \tabularnewline
241 & 0.904133 & 0.191735 & 0.0958674 \tabularnewline
242 & 0.948789 & 0.102422 & 0.0512112 \tabularnewline
243 & 0.934951 & 0.130098 & 0.0650491 \tabularnewline
244 & 0.951488 & 0.097025 & 0.0485125 \tabularnewline
245 & 0.969302 & 0.0613963 & 0.0306982 \tabularnewline
246 & 0.968716 & 0.0625687 & 0.0312844 \tabularnewline
247 & 0.964676 & 0.0706484 & 0.0353242 \tabularnewline
248 & 0.957389 & 0.0852217 & 0.0426108 \tabularnewline
249 & 0.943496 & 0.113009 & 0.0565043 \tabularnewline
250 & 0.946743 & 0.106515 & 0.0532575 \tabularnewline
251 & 0.929755 & 0.14049 & 0.0702452 \tabularnewline
252 & 0.964799 & 0.070403 & 0.0352015 \tabularnewline
253 & 0.959038 & 0.081923 & 0.0409615 \tabularnewline
254 & 0.945564 & 0.108871 & 0.0544357 \tabularnewline
255 & 0.928352 & 0.143297 & 0.0716483 \tabularnewline
256 & 0.967102 & 0.0657965 & 0.0328983 \tabularnewline
257 & 0.96355 & 0.0728991 & 0.0364496 \tabularnewline
258 & 0.955971 & 0.0880577 & 0.0440288 \tabularnewline
259 & 0.952166 & 0.095668 & 0.047834 \tabularnewline
260 & 0.962694 & 0.0746123 & 0.0373061 \tabularnewline
261 & 0.94862 & 0.10276 & 0.0513799 \tabularnewline
262 & 0.927511 & 0.144978 & 0.0724892 \tabularnewline
263 & 0.900737 & 0.198526 & 0.0992628 \tabularnewline
264 & 0.993339 & 0.0133229 & 0.00666147 \tabularnewline
265 & 0.989176 & 0.0216488 & 0.0108244 \tabularnewline
266 & 0.994033 & 0.0119332 & 0.00596661 \tabularnewline
267 & 0.989371 & 0.0212577 & 0.0106288 \tabularnewline
268 & 0.99265 & 0.0147009 & 0.00735046 \tabularnewline
269 & 0.98793 & 0.0241408 & 0.0120704 \tabularnewline
270 & 0.987087 & 0.0258269 & 0.0129135 \tabularnewline
271 & 0.979674 & 0.0406519 & 0.020326 \tabularnewline
272 & 0.973387 & 0.0532255 & 0.0266128 \tabularnewline
273 & 0.982521 & 0.0349571 & 0.0174785 \tabularnewline
274 & 0.966278 & 0.0674443 & 0.0337221 \tabularnewline
275 & 0.944696 & 0.110608 & 0.0553041 \tabularnewline
276 & 0.895876 & 0.208247 & 0.104124 \tabularnewline
277 & 0.83764 & 0.324719 & 0.16236 \tabularnewline
278 & 0.747197 & 0.505606 & 0.252803 \tabularnewline
279 & 0.788062 & 0.423876 & 0.211938 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267345&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]8[/C][C]0.357814[/C][C]0.715629[/C][C]0.642186[/C][/ROW]
[ROW][C]9[/C][C]0.592578[/C][C]0.814845[/C][C]0.407422[/C][/ROW]
[ROW][C]10[/C][C]0.449924[/C][C]0.899848[/C][C]0.550076[/C][/ROW]
[ROW][C]11[/C][C]0.389509[/C][C]0.779018[/C][C]0.610491[/C][/ROW]
[ROW][C]12[/C][C]0.280505[/C][C]0.561011[/C][C]0.719495[/C][/ROW]
[ROW][C]13[/C][C]0.19473[/C][C]0.389461[/C][C]0.80527[/C][/ROW]
[ROW][C]14[/C][C]0.230123[/C][C]0.460247[/C][C]0.769877[/C][/ROW]
[ROW][C]15[/C][C]0.193207[/C][C]0.386414[/C][C]0.806793[/C][/ROW]
[ROW][C]16[/C][C]0.635689[/C][C]0.728622[/C][C]0.364311[/C][/ROW]
[ROW][C]17[/C][C]0.684801[/C][C]0.630399[/C][C]0.315199[/C][/ROW]
[ROW][C]18[/C][C]0.61858[/C][C]0.76284[/C][C]0.38142[/C][/ROW]
[ROW][C]19[/C][C]0.56415[/C][C]0.8717[/C][C]0.43585[/C][/ROW]
[ROW][C]20[/C][C]0.488161[/C][C]0.976323[/C][C]0.511839[/C][/ROW]
[ROW][C]21[/C][C]0.41808[/C][C]0.83616[/C][C]0.58192[/C][/ROW]
[ROW][C]22[/C][C]0.370259[/C][C]0.740519[/C][C]0.629741[/C][/ROW]
[ROW][C]23[/C][C]0.321379[/C][C]0.642758[/C][C]0.678621[/C][/ROW]
[ROW][C]24[/C][C]0.51888[/C][C]0.962239[/C][C]0.48112[/C][/ROW]
[ROW][C]25[/C][C]0.51462[/C][C]0.970759[/C][C]0.48538[/C][/ROW]
[ROW][C]26[/C][C]0.462195[/C][C]0.924389[/C][C]0.537805[/C][/ROW]
[ROW][C]27[/C][C]0.728609[/C][C]0.542782[/C][C]0.271391[/C][/ROW]
[ROW][C]28[/C][C]0.684195[/C][C]0.631609[/C][C]0.315805[/C][/ROW]
[ROW][C]29[/C][C]0.673898[/C][C]0.652204[/C][C]0.326102[/C][/ROW]
[ROW][C]30[/C][C]0.629324[/C][C]0.741353[/C][C]0.370676[/C][/ROW]
[ROW][C]31[/C][C]0.577534[/C][C]0.844932[/C][C]0.422466[/C][/ROW]
[ROW][C]32[/C][C]0.576101[/C][C]0.847797[/C][C]0.423899[/C][/ROW]
[ROW][C]33[/C][C]0.577645[/C][C]0.844711[/C][C]0.422355[/C][/ROW]
[ROW][C]34[/C][C]0.544651[/C][C]0.910697[/C][C]0.455349[/C][/ROW]
[ROW][C]35[/C][C]0.499667[/C][C]0.999335[/C][C]0.500333[/C][/ROW]
[ROW][C]36[/C][C]0.465519[/C][C]0.931038[/C][C]0.534481[/C][/ROW]
[ROW][C]37[/C][C]0.441179[/C][C]0.882357[/C][C]0.558821[/C][/ROW]
[ROW][C]38[/C][C]0.467125[/C][C]0.934251[/C][C]0.532875[/C][/ROW]
[ROW][C]39[/C][C]0.42082[/C][C]0.84164[/C][C]0.57918[/C][/ROW]
[ROW][C]40[/C][C]0.372666[/C][C]0.745332[/C][C]0.627334[/C][/ROW]
[ROW][C]41[/C][C]0.349133[/C][C]0.698265[/C][C]0.650867[/C][/ROW]
[ROW][C]42[/C][C]0.312058[/C][C]0.624117[/C][C]0.687942[/C][/ROW]
[ROW][C]43[/C][C]0.314522[/C][C]0.629045[/C][C]0.685478[/C][/ROW]
[ROW][C]44[/C][C]0.275918[/C][C]0.551836[/C][C]0.724082[/C][/ROW]
[ROW][C]45[/C][C]0.248149[/C][C]0.496298[/C][C]0.751851[/C][/ROW]
[ROW][C]46[/C][C]0.224918[/C][C]0.449837[/C][C]0.775082[/C][/ROW]
[ROW][C]47[/C][C]0.355317[/C][C]0.710633[/C][C]0.644683[/C][/ROW]
[ROW][C]48[/C][C]0.352301[/C][C]0.704603[/C][C]0.647699[/C][/ROW]
[ROW][C]49[/C][C]0.320928[/C][C]0.641857[/C][C]0.679072[/C][/ROW]
[ROW][C]50[/C][C]0.403157[/C][C]0.806314[/C][C]0.596843[/C][/ROW]
[ROW][C]51[/C][C]0.432123[/C][C]0.864245[/C][C]0.567877[/C][/ROW]
[ROW][C]52[/C][C]0.451938[/C][C]0.903876[/C][C]0.548062[/C][/ROW]
[ROW][C]53[/C][C]0.422579[/C][C]0.845158[/C][C]0.577421[/C][/ROW]
[ROW][C]54[/C][C]0.618756[/C][C]0.762489[/C][C]0.381244[/C][/ROW]
[ROW][C]55[/C][C]0.585138[/C][C]0.829723[/C][C]0.414862[/C][/ROW]
[ROW][C]56[/C][C]0.550945[/C][C]0.898109[/C][C]0.449055[/C][/ROW]
[ROW][C]57[/C][C]0.522791[/C][C]0.954419[/C][C]0.477209[/C][/ROW]
[ROW][C]58[/C][C]0.497062[/C][C]0.994123[/C][C]0.502938[/C][/ROW]
[ROW][C]59[/C][C]0.458985[/C][C]0.91797[/C][C]0.541015[/C][/ROW]
[ROW][C]60[/C][C]0.428693[/C][C]0.857385[/C][C]0.571307[/C][/ROW]
[ROW][C]61[/C][C]0.599223[/C][C]0.801555[/C][C]0.400777[/C][/ROW]
[ROW][C]62[/C][C]0.584978[/C][C]0.830044[/C][C]0.415022[/C][/ROW]
[ROW][C]63[/C][C]0.572151[/C][C]0.855698[/C][C]0.427849[/C][/ROW]
[ROW][C]64[/C][C]0.558313[/C][C]0.883374[/C][C]0.441687[/C][/ROW]
[ROW][C]65[/C][C]0.518265[/C][C]0.963471[/C][C]0.481735[/C][/ROW]
[ROW][C]66[/C][C]0.635173[/C][C]0.729654[/C][C]0.364827[/C][/ROW]
[ROW][C]67[/C][C]0.68473[/C][C]0.63054[/C][C]0.31527[/C][/ROW]
[ROW][C]68[/C][C]0.714453[/C][C]0.571095[/C][C]0.285547[/C][/ROW]
[ROW][C]69[/C][C]0.733072[/C][C]0.533856[/C][C]0.266928[/C][/ROW]
[ROW][C]70[/C][C]0.826963[/C][C]0.346074[/C][C]0.173037[/C][/ROW]
[ROW][C]71[/C][C]0.869206[/C][C]0.261588[/C][C]0.130794[/C][/ROW]
[ROW][C]72[/C][C]0.854688[/C][C]0.290624[/C][C]0.145312[/C][/ROW]
[ROW][C]73[/C][C]0.873469[/C][C]0.253062[/C][C]0.126531[/C][/ROW]
[ROW][C]74[/C][C]0.863763[/C][C]0.272475[/C][C]0.136237[/C][/ROW]
[ROW][C]75[/C][C]0.876758[/C][C]0.246484[/C][C]0.123242[/C][/ROW]
[ROW][C]76[/C][C]0.893238[/C][C]0.213523[/C][C]0.106762[/C][/ROW]
[ROW][C]77[/C][C]0.888164[/C][C]0.223671[/C][C]0.111836[/C][/ROW]
[ROW][C]78[/C][C]0.874219[/C][C]0.251561[/C][C]0.125781[/C][/ROW]
[ROW][C]79[/C][C]0.897693[/C][C]0.204613[/C][C]0.102307[/C][/ROW]
[ROW][C]80[/C][C]0.89998[/C][C]0.200039[/C][C]0.10002[/C][/ROW]
[ROW][C]81[/C][C]0.887046[/C][C]0.225907[/C][C]0.112954[/C][/ROW]
[ROW][C]82[/C][C]0.878462[/C][C]0.243075[/C][C]0.121538[/C][/ROW]
[ROW][C]83[/C][C]0.894085[/C][C]0.21183[/C][C]0.105915[/C][/ROW]
[ROW][C]84[/C][C]0.886532[/C][C]0.226935[/C][C]0.113468[/C][/ROW]
[ROW][C]85[/C][C]0.885671[/C][C]0.228658[/C][C]0.114329[/C][/ROW]
[ROW][C]86[/C][C]0.873033[/C][C]0.253934[/C][C]0.126967[/C][/ROW]
[ROW][C]87[/C][C]0.872111[/C][C]0.255777[/C][C]0.127889[/C][/ROW]
[ROW][C]88[/C][C]0.87641[/C][C]0.24718[/C][C]0.12359[/C][/ROW]
[ROW][C]89[/C][C]0.858981[/C][C]0.282039[/C][C]0.141019[/C][/ROW]
[ROW][C]90[/C][C]0.847079[/C][C]0.305843[/C][C]0.152921[/C][/ROW]
[ROW][C]91[/C][C]0.866166[/C][C]0.267668[/C][C]0.133834[/C][/ROW]
[ROW][C]92[/C][C]0.888755[/C][C]0.22249[/C][C]0.111245[/C][/ROW]
[ROW][C]93[/C][C]0.886222[/C][C]0.227557[/C][C]0.113778[/C][/ROW]
[ROW][C]94[/C][C]0.870386[/C][C]0.259228[/C][C]0.129614[/C][/ROW]
[ROW][C]95[/C][C]0.881597[/C][C]0.236807[/C][C]0.118403[/C][/ROW]
[ROW][C]96[/C][C]0.863141[/C][C]0.273717[/C][C]0.136859[/C][/ROW]
[ROW][C]97[/C][C]0.84905[/C][C]0.301901[/C][C]0.15095[/C][/ROW]
[ROW][C]98[/C][C]0.830742[/C][C]0.338515[/C][C]0.169258[/C][/ROW]
[ROW][C]99[/C][C]0.81944[/C][C]0.36112[/C][C]0.18056[/C][/ROW]
[ROW][C]100[/C][C]0.802305[/C][C]0.395391[/C][C]0.197695[/C][/ROW]
[ROW][C]101[/C][C]0.779286[/C][C]0.441429[/C][C]0.220714[/C][/ROW]
[ROW][C]102[/C][C]0.762181[/C][C]0.475639[/C][C]0.237819[/C][/ROW]
[ROW][C]103[/C][C]0.749931[/C][C]0.500139[/C][C]0.250069[/C][/ROW]
[ROW][C]104[/C][C]0.732155[/C][C]0.53569[/C][C]0.267845[/C][/ROW]
[ROW][C]105[/C][C]0.766602[/C][C]0.466796[/C][C]0.233398[/C][/ROW]
[ROW][C]106[/C][C]0.754995[/C][C]0.49001[/C][C]0.245005[/C][/ROW]
[ROW][C]107[/C][C]0.742918[/C][C]0.514164[/C][C]0.257082[/C][/ROW]
[ROW][C]108[/C][C]0.719922[/C][C]0.560156[/C][C]0.280078[/C][/ROW]
[ROW][C]109[/C][C]0.705991[/C][C]0.588019[/C][C]0.294009[/C][/ROW]
[ROW][C]110[/C][C]0.682541[/C][C]0.634917[/C][C]0.317459[/C][/ROW]
[ROW][C]111[/C][C]0.660741[/C][C]0.678517[/C][C]0.339259[/C][/ROW]
[ROW][C]112[/C][C]0.644808[/C][C]0.710384[/C][C]0.355192[/C][/ROW]
[ROW][C]113[/C][C]0.723267[/C][C]0.553466[/C][C]0.276733[/C][/ROW]
[ROW][C]114[/C][C]0.7067[/C][C]0.5866[/C][C]0.2933[/C][/ROW]
[ROW][C]115[/C][C]0.679022[/C][C]0.641956[/C][C]0.320978[/C][/ROW]
[ROW][C]116[/C][C]0.665072[/C][C]0.669855[/C][C]0.334928[/C][/ROW]
[ROW][C]117[/C][C]0.734902[/C][C]0.530197[/C][C]0.265098[/C][/ROW]
[ROW][C]118[/C][C]0.776196[/C][C]0.447607[/C][C]0.223804[/C][/ROW]
[ROW][C]119[/C][C]0.764291[/C][C]0.471419[/C][C]0.235709[/C][/ROW]
[ROW][C]120[/C][C]0.756268[/C][C]0.487464[/C][C]0.243732[/C][/ROW]
[ROW][C]121[/C][C]0.731727[/C][C]0.536546[/C][C]0.268273[/C][/ROW]
[ROW][C]122[/C][C]0.733464[/C][C]0.533071[/C][C]0.266536[/C][/ROW]
[ROW][C]123[/C][C]0.805582[/C][C]0.388836[/C][C]0.194418[/C][/ROW]
[ROW][C]124[/C][C]0.80546[/C][C]0.389079[/C][C]0.19454[/C][/ROW]
[ROW][C]125[/C][C]0.804593[/C][C]0.390814[/C][C]0.195407[/C][/ROW]
[ROW][C]126[/C][C]0.824886[/C][C]0.350227[/C][C]0.175114[/C][/ROW]
[ROW][C]127[/C][C]0.821347[/C][C]0.357307[/C][C]0.178653[/C][/ROW]
[ROW][C]128[/C][C]0.890371[/C][C]0.219259[/C][C]0.109629[/C][/ROW]
[ROW][C]129[/C][C]0.879679[/C][C]0.240642[/C][C]0.120321[/C][/ROW]
[ROW][C]130[/C][C]0.863334[/C][C]0.273333[/C][C]0.136666[/C][/ROW]
[ROW][C]131[/C][C]0.851656[/C][C]0.296689[/C][C]0.148344[/C][/ROW]
[ROW][C]132[/C][C]0.836124[/C][C]0.327751[/C][C]0.163876[/C][/ROW]
[ROW][C]133[/C][C]0.817791[/C][C]0.364419[/C][C]0.182209[/C][/ROW]
[ROW][C]134[/C][C]0.798316[/C][C]0.403368[/C][C]0.201684[/C][/ROW]
[ROW][C]135[/C][C]0.774444[/C][C]0.451111[/C][C]0.225556[/C][/ROW]
[ROW][C]136[/C][C]0.791921[/C][C]0.416158[/C][C]0.208079[/C][/ROW]
[ROW][C]137[/C][C]0.767437[/C][C]0.465126[/C][C]0.232563[/C][/ROW]
[ROW][C]138[/C][C]0.744983[/C][C]0.510034[/C][C]0.255017[/C][/ROW]
[ROW][C]139[/C][C]0.739926[/C][C]0.520148[/C][C]0.260074[/C][/ROW]
[ROW][C]140[/C][C]0.7421[/C][C]0.5158[/C][C]0.2579[/C][/ROW]
[ROW][C]141[/C][C]0.715215[/C][C]0.569571[/C][C]0.284785[/C][/ROW]
[ROW][C]142[/C][C]0.823689[/C][C]0.352622[/C][C]0.176311[/C][/ROW]
[ROW][C]143[/C][C]0.815433[/C][C]0.369135[/C][C]0.184567[/C][/ROW]
[ROW][C]144[/C][C]0.792041[/C][C]0.415918[/C][C]0.207959[/C][/ROW]
[ROW][C]145[/C][C]0.785164[/C][C]0.429672[/C][C]0.214836[/C][/ROW]
[ROW][C]146[/C][C]0.79009[/C][C]0.419819[/C][C]0.20991[/C][/ROW]
[ROW][C]147[/C][C]0.787182[/C][C]0.425637[/C][C]0.212818[/C][/ROW]
[ROW][C]148[/C][C]0.76192[/C][C]0.47616[/C][C]0.23808[/C][/ROW]
[ROW][C]149[/C][C]0.74424[/C][C]0.511521[/C][C]0.25576[/C][/ROW]
[ROW][C]150[/C][C]0.733038[/C][C]0.533923[/C][C]0.266962[/C][/ROW]
[ROW][C]151[/C][C]0.724458[/C][C]0.551085[/C][C]0.275542[/C][/ROW]
[ROW][C]152[/C][C]0.698094[/C][C]0.603812[/C][C]0.301906[/C][/ROW]
[ROW][C]153[/C][C]0.681586[/C][C]0.636829[/C][C]0.318414[/C][/ROW]
[ROW][C]154[/C][C]0.653532[/C][C]0.692936[/C][C]0.346468[/C][/ROW]
[ROW][C]155[/C][C]0.6306[/C][C]0.738801[/C][C]0.3694[/C][/ROW]
[ROW][C]156[/C][C]0.682001[/C][C]0.635998[/C][C]0.317999[/C][/ROW]
[ROW][C]157[/C][C]0.698654[/C][C]0.602692[/C][C]0.301346[/C][/ROW]
[ROW][C]158[/C][C]0.669786[/C][C]0.660428[/C][C]0.330214[/C][/ROW]
[ROW][C]159[/C][C]0.666639[/C][C]0.666722[/C][C]0.333361[/C][/ROW]
[ROW][C]160[/C][C]0.714101[/C][C]0.571799[/C][C]0.285899[/C][/ROW]
[ROW][C]161[/C][C]0.730012[/C][C]0.539977[/C][C]0.269988[/C][/ROW]
[ROW][C]162[/C][C]0.714835[/C][C]0.570331[/C][C]0.285165[/C][/ROW]
[ROW][C]163[/C][C]0.743169[/C][C]0.513662[/C][C]0.256831[/C][/ROW]
[ROW][C]164[/C][C]0.716004[/C][C]0.567993[/C][C]0.283996[/C][/ROW]
[ROW][C]165[/C][C]0.689282[/C][C]0.621436[/C][C]0.310718[/C][/ROW]
[ROW][C]166[/C][C]0.67997[/C][C]0.64006[/C][C]0.32003[/C][/ROW]
[ROW][C]167[/C][C]0.649433[/C][C]0.701135[/C][C]0.350567[/C][/ROW]
[ROW][C]168[/C][C]0.633098[/C][C]0.733804[/C][C]0.366902[/C][/ROW]
[ROW][C]169[/C][C]0.708906[/C][C]0.582188[/C][C]0.291094[/C][/ROW]
[ROW][C]170[/C][C]0.892107[/C][C]0.215786[/C][C]0.107893[/C][/ROW]
[ROW][C]171[/C][C]0.892055[/C][C]0.215889[/C][C]0.107945[/C][/ROW]
[ROW][C]172[/C][C]0.915515[/C][C]0.16897[/C][C]0.084485[/C][/ROW]
[ROW][C]173[/C][C]0.903103[/C][C]0.193793[/C][C]0.0968966[/C][/ROW]
[ROW][C]174[/C][C]0.894002[/C][C]0.211996[/C][C]0.105998[/C][/ROW]
[ROW][C]175[/C][C]0.880558[/C][C]0.238884[/C][C]0.119442[/C][/ROW]
[ROW][C]176[/C][C]0.874829[/C][C]0.250342[/C][C]0.125171[/C][/ROW]
[ROW][C]177[/C][C]0.861382[/C][C]0.277235[/C][C]0.138618[/C][/ROW]
[ROW][C]178[/C][C]0.84235[/C][C]0.3153[/C][C]0.15765[/C][/ROW]
[ROW][C]179[/C][C]0.829451[/C][C]0.341098[/C][C]0.170549[/C][/ROW]
[ROW][C]180[/C][C]0.847982[/C][C]0.304035[/C][C]0.152018[/C][/ROW]
[ROW][C]181[/C][C]0.867595[/C][C]0.26481[/C][C]0.132405[/C][/ROW]
[ROW][C]182[/C][C]0.848545[/C][C]0.30291[/C][C]0.151455[/C][/ROW]
[ROW][C]183[/C][C]0.828393[/C][C]0.343214[/C][C]0.171607[/C][/ROW]
[ROW][C]184[/C][C]0.851228[/C][C]0.297543[/C][C]0.148772[/C][/ROW]
[ROW][C]185[/C][C]0.849085[/C][C]0.30183[/C][C]0.150915[/C][/ROW]
[ROW][C]186[/C][C]0.871026[/C][C]0.257949[/C][C]0.128974[/C][/ROW]
[ROW][C]187[/C][C]0.856857[/C][C]0.286287[/C][C]0.143143[/C][/ROW]
[ROW][C]188[/C][C]0.840238[/C][C]0.319524[/C][C]0.159762[/C][/ROW]
[ROW][C]189[/C][C]0.840895[/C][C]0.318211[/C][C]0.159105[/C][/ROW]
[ROW][C]190[/C][C]0.820341[/C][C]0.359319[/C][C]0.179659[/C][/ROW]
[ROW][C]191[/C][C]0.82281[/C][C]0.35438[/C][C]0.17719[/C][/ROW]
[ROW][C]192[/C][C]0.799608[/C][C]0.400785[/C][C]0.200392[/C][/ROW]
[ROW][C]193[/C][C]0.773743[/C][C]0.452514[/C][C]0.226257[/C][/ROW]
[ROW][C]194[/C][C]0.745873[/C][C]0.508253[/C][C]0.254127[/C][/ROW]
[ROW][C]195[/C][C]0.715676[/C][C]0.568647[/C][C]0.284324[/C][/ROW]
[ROW][C]196[/C][C]0.742196[/C][C]0.515609[/C][C]0.257804[/C][/ROW]
[ROW][C]197[/C][C]0.754367[/C][C]0.491266[/C][C]0.245633[/C][/ROW]
[ROW][C]198[/C][C]0.725893[/C][C]0.548213[/C][C]0.274107[/C][/ROW]
[ROW][C]199[/C][C]0.724079[/C][C]0.551843[/C][C]0.275921[/C][/ROW]
[ROW][C]200[/C][C]0.692628[/C][C]0.614743[/C][C]0.307372[/C][/ROW]
[ROW][C]201[/C][C]0.66995[/C][C]0.6601[/C][C]0.33005[/C][/ROW]
[ROW][C]202[/C][C]0.663743[/C][C]0.672513[/C][C]0.336257[/C][/ROW]
[ROW][C]203[/C][C]0.671557[/C][C]0.656886[/C][C]0.328443[/C][/ROW]
[ROW][C]204[/C][C]0.646884[/C][C]0.706231[/C][C]0.353116[/C][/ROW]
[ROW][C]205[/C][C]0.631968[/C][C]0.736064[/C][C]0.368032[/C][/ROW]
[ROW][C]206[/C][C]0.596906[/C][C]0.806189[/C][C]0.403094[/C][/ROW]
[ROW][C]207[/C][C]0.854313[/C][C]0.291373[/C][C]0.145687[/C][/ROW]
[ROW][C]208[/C][C]0.86484[/C][C]0.270319[/C][C]0.13516[/C][/ROW]
[ROW][C]209[/C][C]0.856346[/C][C]0.287307[/C][C]0.143654[/C][/ROW]
[ROW][C]210[/C][C]0.833332[/C][C]0.333337[/C][C]0.166668[/C][/ROW]
[ROW][C]211[/C][C]0.81108[/C][C]0.37784[/C][C]0.18892[/C][/ROW]
[ROW][C]212[/C][C]0.809834[/C][C]0.380332[/C][C]0.190166[/C][/ROW]
[ROW][C]213[/C][C]0.867001[/C][C]0.265998[/C][C]0.132999[/C][/ROW]
[ROW][C]214[/C][C]0.88033[/C][C]0.23934[/C][C]0.11967[/C][/ROW]
[ROW][C]215[/C][C]0.890582[/C][C]0.218837[/C][C]0.109418[/C][/ROW]
[ROW][C]216[/C][C]0.876065[/C][C]0.24787[/C][C]0.123935[/C][/ROW]
[ROW][C]217[/C][C]0.855847[/C][C]0.288306[/C][C]0.144153[/C][/ROW]
[ROW][C]218[/C][C]0.902562[/C][C]0.194876[/C][C]0.0974378[/C][/ROW]
[ROW][C]219[/C][C]0.899157[/C][C]0.201685[/C][C]0.100843[/C][/ROW]
[ROW][C]220[/C][C]0.880051[/C][C]0.239898[/C][C]0.119949[/C][/ROW]
[ROW][C]221[/C][C]0.88112[/C][C]0.23776[/C][C]0.11888[/C][/ROW]
[ROW][C]222[/C][C]0.883112[/C][C]0.233775[/C][C]0.116888[/C][/ROW]
[ROW][C]223[/C][C]0.862091[/C][C]0.275817[/C][C]0.137909[/C][/ROW]
[ROW][C]224[/C][C]0.838579[/C][C]0.322842[/C][C]0.161421[/C][/ROW]
[ROW][C]225[/C][C]0.84438[/C][C]0.311239[/C][C]0.15562[/C][/ROW]
[ROW][C]226[/C][C]0.887146[/C][C]0.225708[/C][C]0.112854[/C][/ROW]
[ROW][C]227[/C][C]0.898775[/C][C]0.202451[/C][C]0.101225[/C][/ROW]
[ROW][C]228[/C][C]0.878447[/C][C]0.243105[/C][C]0.121553[/C][/ROW]
[ROW][C]229[/C][C]0.874644[/C][C]0.250712[/C][C]0.125356[/C][/ROW]
[ROW][C]230[/C][C]0.896895[/C][C]0.20621[/C][C]0.103105[/C][/ROW]
[ROW][C]231[/C][C]0.875785[/C][C]0.24843[/C][C]0.124215[/C][/ROW]
[ROW][C]232[/C][C]0.863114[/C][C]0.273772[/C][C]0.136886[/C][/ROW]
[ROW][C]233[/C][C]0.90531[/C][C]0.189381[/C][C]0.0946903[/C][/ROW]
[ROW][C]234[/C][C]0.917923[/C][C]0.164154[/C][C]0.0820769[/C][/ROW]
[ROW][C]235[/C][C]0.910599[/C][C]0.178802[/C][C]0.089401[/C][/ROW]
[ROW][C]236[/C][C]0.897034[/C][C]0.205932[/C][C]0.102966[/C][/ROW]
[ROW][C]237[/C][C]0.877338[/C][C]0.245324[/C][C]0.122662[/C][/ROW]
[ROW][C]238[/C][C]0.887226[/C][C]0.225547[/C][C]0.112774[/C][/ROW]
[ROW][C]239[/C][C]0.921177[/C][C]0.157647[/C][C]0.0788233[/C][/ROW]
[ROW][C]240[/C][C]0.918614[/C][C]0.162773[/C][C]0.0813863[/C][/ROW]
[ROW][C]241[/C][C]0.904133[/C][C]0.191735[/C][C]0.0958674[/C][/ROW]
[ROW][C]242[/C][C]0.948789[/C][C]0.102422[/C][C]0.0512112[/C][/ROW]
[ROW][C]243[/C][C]0.934951[/C][C]0.130098[/C][C]0.0650491[/C][/ROW]
[ROW][C]244[/C][C]0.951488[/C][C]0.097025[/C][C]0.0485125[/C][/ROW]
[ROW][C]245[/C][C]0.969302[/C][C]0.0613963[/C][C]0.0306982[/C][/ROW]
[ROW][C]246[/C][C]0.968716[/C][C]0.0625687[/C][C]0.0312844[/C][/ROW]
[ROW][C]247[/C][C]0.964676[/C][C]0.0706484[/C][C]0.0353242[/C][/ROW]
[ROW][C]248[/C][C]0.957389[/C][C]0.0852217[/C][C]0.0426108[/C][/ROW]
[ROW][C]249[/C][C]0.943496[/C][C]0.113009[/C][C]0.0565043[/C][/ROW]
[ROW][C]250[/C][C]0.946743[/C][C]0.106515[/C][C]0.0532575[/C][/ROW]
[ROW][C]251[/C][C]0.929755[/C][C]0.14049[/C][C]0.0702452[/C][/ROW]
[ROW][C]252[/C][C]0.964799[/C][C]0.070403[/C][C]0.0352015[/C][/ROW]
[ROW][C]253[/C][C]0.959038[/C][C]0.081923[/C][C]0.0409615[/C][/ROW]
[ROW][C]254[/C][C]0.945564[/C][C]0.108871[/C][C]0.0544357[/C][/ROW]
[ROW][C]255[/C][C]0.928352[/C][C]0.143297[/C][C]0.0716483[/C][/ROW]
[ROW][C]256[/C][C]0.967102[/C][C]0.0657965[/C][C]0.0328983[/C][/ROW]
[ROW][C]257[/C][C]0.96355[/C][C]0.0728991[/C][C]0.0364496[/C][/ROW]
[ROW][C]258[/C][C]0.955971[/C][C]0.0880577[/C][C]0.0440288[/C][/ROW]
[ROW][C]259[/C][C]0.952166[/C][C]0.095668[/C][C]0.047834[/C][/ROW]
[ROW][C]260[/C][C]0.962694[/C][C]0.0746123[/C][C]0.0373061[/C][/ROW]
[ROW][C]261[/C][C]0.94862[/C][C]0.10276[/C][C]0.0513799[/C][/ROW]
[ROW][C]262[/C][C]0.927511[/C][C]0.144978[/C][C]0.0724892[/C][/ROW]
[ROW][C]263[/C][C]0.900737[/C][C]0.198526[/C][C]0.0992628[/C][/ROW]
[ROW][C]264[/C][C]0.993339[/C][C]0.0133229[/C][C]0.00666147[/C][/ROW]
[ROW][C]265[/C][C]0.989176[/C][C]0.0216488[/C][C]0.0108244[/C][/ROW]
[ROW][C]266[/C][C]0.994033[/C][C]0.0119332[/C][C]0.00596661[/C][/ROW]
[ROW][C]267[/C][C]0.989371[/C][C]0.0212577[/C][C]0.0106288[/C][/ROW]
[ROW][C]268[/C][C]0.99265[/C][C]0.0147009[/C][C]0.00735046[/C][/ROW]
[ROW][C]269[/C][C]0.98793[/C][C]0.0241408[/C][C]0.0120704[/C][/ROW]
[ROW][C]270[/C][C]0.987087[/C][C]0.0258269[/C][C]0.0129135[/C][/ROW]
[ROW][C]271[/C][C]0.979674[/C][C]0.0406519[/C][C]0.020326[/C][/ROW]
[ROW][C]272[/C][C]0.973387[/C][C]0.0532255[/C][C]0.0266128[/C][/ROW]
[ROW][C]273[/C][C]0.982521[/C][C]0.0349571[/C][C]0.0174785[/C][/ROW]
[ROW][C]274[/C][C]0.966278[/C][C]0.0674443[/C][C]0.0337221[/C][/ROW]
[ROW][C]275[/C][C]0.944696[/C][C]0.110608[/C][C]0.0553041[/C][/ROW]
[ROW][C]276[/C][C]0.895876[/C][C]0.208247[/C][C]0.104124[/C][/ROW]
[ROW][C]277[/C][C]0.83764[/C][C]0.324719[/C][C]0.16236[/C][/ROW]
[ROW][C]278[/C][C]0.747197[/C][C]0.505606[/C][C]0.252803[/C][/ROW]
[ROW][C]279[/C][C]0.788062[/C][C]0.423876[/C][C]0.211938[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267345&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267345&T=5

As an alternative you can also use a QR Code:  
QR Code


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.3578140.7156290.642186
90.5925780.8148450.407422
100.4499240.8998480.550076
110.3895090.7790180.610491
120.2805050.5610110.719495
130.194730.3894610.80527
140.2301230.4602470.769877
150.1932070.3864140.806793
160.6356890.7286220.364311
170.6848010.6303990.315199
180.618580.762840.38142
190.564150.87170.43585
200.4881610.9763230.511839
210.418080.836160.58192
220.3702590.7405190.629741
230.3213790.6427580.678621
240.518880.9622390.48112
250.514620.9707590.48538
260.4621950.9243890.537805
270.7286090.5427820.271391
280.6841950.6316090.315805
290.6738980.6522040.326102
300.6293240.7413530.370676
310.5775340.8449320.422466
320.5761010.8477970.423899
330.5776450.8447110.422355
340.5446510.9106970.455349
350.4996670.9993350.500333
360.4655190.9310380.534481
370.4411790.8823570.558821
380.4671250.9342510.532875
390.420820.841640.57918
400.3726660.7453320.627334
410.3491330.6982650.650867
420.3120580.6241170.687942
430.3145220.6290450.685478
440.2759180.5518360.724082
450.2481490.4962980.751851
460.2249180.4498370.775082
470.3553170.7106330.644683
480.3523010.7046030.647699
490.3209280.6418570.679072
500.4031570.8063140.596843
510.4321230.8642450.567877
520.4519380.9038760.548062
530.4225790.8451580.577421
540.6187560.7624890.381244
550.5851380.8297230.414862
560.5509450.8981090.449055
570.5227910.9544190.477209
580.4970620.9941230.502938
590.4589850.917970.541015
600.4286930.8573850.571307
610.5992230.8015550.400777
620.5849780.8300440.415022
630.5721510.8556980.427849
640.5583130.8833740.441687
650.5182650.9634710.481735
660.6351730.7296540.364827
670.684730.630540.31527
680.7144530.5710950.285547
690.7330720.5338560.266928
700.8269630.3460740.173037
710.8692060.2615880.130794
720.8546880.2906240.145312
730.8734690.2530620.126531
740.8637630.2724750.136237
750.8767580.2464840.123242
760.8932380.2135230.106762
770.8881640.2236710.111836
780.8742190.2515610.125781
790.8976930.2046130.102307
800.899980.2000390.10002
810.8870460.2259070.112954
820.8784620.2430750.121538
830.8940850.211830.105915
840.8865320.2269350.113468
850.8856710.2286580.114329
860.8730330.2539340.126967
870.8721110.2557770.127889
880.876410.247180.12359
890.8589810.2820390.141019
900.8470790.3058430.152921
910.8661660.2676680.133834
920.8887550.222490.111245
930.8862220.2275570.113778
940.8703860.2592280.129614
950.8815970.2368070.118403
960.8631410.2737170.136859
970.849050.3019010.15095
980.8307420.3385150.169258
990.819440.361120.18056
1000.8023050.3953910.197695
1010.7792860.4414290.220714
1020.7621810.4756390.237819
1030.7499310.5001390.250069
1040.7321550.535690.267845
1050.7666020.4667960.233398
1060.7549950.490010.245005
1070.7429180.5141640.257082
1080.7199220.5601560.280078
1090.7059910.5880190.294009
1100.6825410.6349170.317459
1110.6607410.6785170.339259
1120.6448080.7103840.355192
1130.7232670.5534660.276733
1140.70670.58660.2933
1150.6790220.6419560.320978
1160.6650720.6698550.334928
1170.7349020.5301970.265098
1180.7761960.4476070.223804
1190.7642910.4714190.235709
1200.7562680.4874640.243732
1210.7317270.5365460.268273
1220.7334640.5330710.266536
1230.8055820.3888360.194418
1240.805460.3890790.19454
1250.8045930.3908140.195407
1260.8248860.3502270.175114
1270.8213470.3573070.178653
1280.8903710.2192590.109629
1290.8796790.2406420.120321
1300.8633340.2733330.136666
1310.8516560.2966890.148344
1320.8361240.3277510.163876
1330.8177910.3644190.182209
1340.7983160.4033680.201684
1350.7744440.4511110.225556
1360.7919210.4161580.208079
1370.7674370.4651260.232563
1380.7449830.5100340.255017
1390.7399260.5201480.260074
1400.74210.51580.2579
1410.7152150.5695710.284785
1420.8236890.3526220.176311
1430.8154330.3691350.184567
1440.7920410.4159180.207959
1450.7851640.4296720.214836
1460.790090.4198190.20991
1470.7871820.4256370.212818
1480.761920.476160.23808
1490.744240.5115210.25576
1500.7330380.5339230.266962
1510.7244580.5510850.275542
1520.6980940.6038120.301906
1530.6815860.6368290.318414
1540.6535320.6929360.346468
1550.63060.7388010.3694
1560.6820010.6359980.317999
1570.6986540.6026920.301346
1580.6697860.6604280.330214
1590.6666390.6667220.333361
1600.7141010.5717990.285899
1610.7300120.5399770.269988
1620.7148350.5703310.285165
1630.7431690.5136620.256831
1640.7160040.5679930.283996
1650.6892820.6214360.310718
1660.679970.640060.32003
1670.6494330.7011350.350567
1680.6330980.7338040.366902
1690.7089060.5821880.291094
1700.8921070.2157860.107893
1710.8920550.2158890.107945
1720.9155150.168970.084485
1730.9031030.1937930.0968966
1740.8940020.2119960.105998
1750.8805580.2388840.119442
1760.8748290.2503420.125171
1770.8613820.2772350.138618
1780.842350.31530.15765
1790.8294510.3410980.170549
1800.8479820.3040350.152018
1810.8675950.264810.132405
1820.8485450.302910.151455
1830.8283930.3432140.171607
1840.8512280.2975430.148772
1850.8490850.301830.150915
1860.8710260.2579490.128974
1870.8568570.2862870.143143
1880.8402380.3195240.159762
1890.8408950.3182110.159105
1900.8203410.3593190.179659
1910.822810.354380.17719
1920.7996080.4007850.200392
1930.7737430.4525140.226257
1940.7458730.5082530.254127
1950.7156760.5686470.284324
1960.7421960.5156090.257804
1970.7543670.4912660.245633
1980.7258930.5482130.274107
1990.7240790.5518430.275921
2000.6926280.6147430.307372
2010.669950.66010.33005
2020.6637430.6725130.336257
2030.6715570.6568860.328443
2040.6468840.7062310.353116
2050.6319680.7360640.368032
2060.5969060.8061890.403094
2070.8543130.2913730.145687
2080.864840.2703190.13516
2090.8563460.2873070.143654
2100.8333320.3333370.166668
2110.811080.377840.18892
2120.8098340.3803320.190166
2130.8670010.2659980.132999
2140.880330.239340.11967
2150.8905820.2188370.109418
2160.8760650.247870.123935
2170.8558470.2883060.144153
2180.9025620.1948760.0974378
2190.8991570.2016850.100843
2200.8800510.2398980.119949
2210.881120.237760.11888
2220.8831120.2337750.116888
2230.8620910.2758170.137909
2240.8385790.3228420.161421
2250.844380.3112390.15562
2260.8871460.2257080.112854
2270.8987750.2024510.101225
2280.8784470.2431050.121553
2290.8746440.2507120.125356
2300.8968950.206210.103105
2310.8757850.248430.124215
2320.8631140.2737720.136886
2330.905310.1893810.0946903
2340.9179230.1641540.0820769
2350.9105990.1788020.089401
2360.8970340.2059320.102966
2370.8773380.2453240.122662
2380.8872260.2255470.112774
2390.9211770.1576470.0788233
2400.9186140.1627730.0813863
2410.9041330.1917350.0958674
2420.9487890.1024220.0512112
2430.9349510.1300980.0650491
2440.9514880.0970250.0485125
2450.9693020.06139630.0306982
2460.9687160.06256870.0312844
2470.9646760.07064840.0353242
2480.9573890.08522170.0426108
2490.9434960.1130090.0565043
2500.9467430.1065150.0532575
2510.9297550.140490.0702452
2520.9647990.0704030.0352015
2530.9590380.0819230.0409615
2540.9455640.1088710.0544357
2550.9283520.1432970.0716483
2560.9671020.06579650.0328983
2570.963550.07289910.0364496
2580.9559710.08805770.0440288
2590.9521660.0956680.047834
2600.9626940.07461230.0373061
2610.948620.102760.0513799
2620.9275110.1449780.0724892
2630.9007370.1985260.0992628
2640.9933390.01332290.00666147
2650.9891760.02164880.0108244
2660.9940330.01193320.00596661
2670.9893710.02125770.0106288
2680.992650.01470090.00735046
2690.987930.02414080.0120704
2700.9870870.02582690.0129135
2710.9796740.04065190.020326
2720.9733870.05322550.0266128
2730.9825210.03495710.0174785
2740.9662780.06744430.0337221
2750.9446960.1106080.0553041
2760.8958760.2082470.104124
2770.837640.3247190.16236
2780.7471970.5056060.252803
2790.7880620.4238760.211938






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level90.0330882OK
10% type I error level230.0845588OK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 9 & 0.0330882 & OK \tabularnewline
10% type I error level & 23 & 0.0845588 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267345&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]9[/C][C]0.0330882[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]23[/C][C]0.0845588[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267345&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267345&T=6

As an alternative you can also use a QR Code:  
QR Code


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level90.0330882OK
10% type I error level230.0845588OK


Figures (Output of Computation)

Figure 1
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Figure 2
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Figure 3
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Figure 4
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Figure 5
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}