FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationSat, 03 Jan 2015 11:40:45 +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/2015/Jan/03/t1420285321rgl6qkgnsp9xrs8.htm/, Retrieved Mon, 13 May 2024 23:48:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271894, Retrieved Mon, 13 May 2024 23:48:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact129

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Vraag 8 KuLeuven ...] [2015-01-03 11:40:45] [563beb1edea669d15db48231c3b63ca2] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
149 1 0.5 0.67 0 0.5 2011 1 0
139 0.89 0.5 0.83 0.5 1 2011 1 1
148 0.89 0.4 1 0 1 2011 1 0
158 0.89 0.5 0.83 0 0 2011 1 1
128 0.89 0.7 0.67 1 1 2011 1 1
224 0.78 0.3 0 0.5 0.5 2011 1 1
159 0.89 0.4 0.83 0.5 0 2011 1 0
105 1 0.4 0.5 1 1 2011 1 1
159 0.89 0.7 0.83 0.5 0 2011 1 1
167 0.78 0.6 0.33 0.5 0.5 2011 1 1
165 1 0.6 0.5 0 0.5 2011 1 1
159 0.78 0.2 0.67 0.5 0.5 2011 1 1
119 0.89 0.4 1 0.5 0.5 2011 1 1
176 0.89 0.4 0.5 0 1 2011 1 0
54 0.89 0.5 0.67 0 0 2011 1 0
91 0.89 0.3 0.17 0 0.5 2011 0 0
163 0.89 0.4 0.83 0.5 0.5 2011 1 1
124 0.67 0.7 0.67 0.5 1 2011 1 0
137 1 0.5 0.67 0 1 2011 0 1
121 0.78 0.2 0.67 0 1 2011 1 0
153 0.78 0.3 0.5 0 0.5 2011 1 1
148 0.89 0.6 1 0 1 2011 1 1
221 0.78 0.6 0.83 0 1 2011 1 0
188 0.89 0.2 0.83 0 1 2011 1 1
149 0.89 0.7 1 1 0 2011 1 1
244 0.33 0.2 0.67 0 0 2011 1 1
148 1 1 1 1 1 2011 0 1
92 0.89 0.4 0.83 0 0.5 2011 0 0
150 0.89 0.4 1 0 1 2011 1 1
153 0.67 0.2 0.83 0 0.5 2011 1 0
94 0.56 0.4 0.67 0 1 2011 1 0
156 0.89 0.4 0.67 0.5 1 2011 1 0
132 0.89 0.7 1 0.5 0.5 2011 1 1
161 1 0.2 0.67 0 0.5 2011 1 1
105 0.78 0.6 1 0 0.5 2011 1 1
97 0.78 0.3 1 0.5 0.5 2011 1 1
151 0.33 0.3 0.5 0 0 2011 1 0
131 0.78 0.2 0.67 0.5 0 2011 0 1
166 0.89 0.5 0.83 0.5 0.5 2011 1 1
157 0.89 0.7 1 0.5 1 2011 1 0
111 0.78 0.6 1 0.5 0.5 2011 1 1
145 0.89 0.4 1 0.5 1 2011 1 1
162 0.89 0.6 1 0.5 1 2011 1 1
163 1 0.4 1 0 1 2011 1 1
59 0.67 0.3 0.83 0 1 2011 0 1
187 1 0.5 0.83 0.5 0.5 2011 1 0
109 0.89 0.2 0.5 0 1 2011 1 1
90 0.89 0.3 0.83 0.5 1 2011 0 1
105 0.89 0.5 0.17 0 1 2011 1 0
83 0.78 0.7 0.83 0.5 1 2011 0 1
116 0.89 0.4 1 1 0.5 2011 0 1
42 0.78 0.3 1 0 0.5 2011 0 1
148 0.78 0.2 0.67 1 1 2011 1 1
155 1 0.5 1 0 0.5 2011 0 1
125 0.78 0.4 1 0.5 0 2011 1 1
116 1 0.6 1 1 1 2011 1 1
128 0.78 0.4 0.83 0 1 2011 0 0
138 0.67 0.4 0.33 0 0.5 2011 1 1
49 0.33 0.2 0.33 0 0 2011 0 0
96 1 0.9 1 0.5 1 2011 0 1
164 1 0.8 1 1 0.5 2011 1 1
162 0.78 0.8 0.83 0.5 1 2011 1 0
99 0.67 0.3 1 0.5 1 2011 1 0
202 1 0.2 0.83 0 0.5 2011 1 1
186 0.89 0.4 0.67 0.5 1 2011 1 0
66 0.89 0.2 0.83 0 1 2011 0 1
183 0.78 0.2 0.67 0.5 1 2011 1 0
214 1 0.1 0.83 0 1 2011 1 1
188 0.56 0.4 0.67 0.5 0 2011 1 1
104 0.67 0.5 1 0.5 0.5 2011 0 0
177 0.89 0.8 0.83 0.5 1 2011 1 0
126 0.89 0.4 0.67 0 0.5 2011 1 0
76 0.89 0.6 0.83 0.5 0.5 2011 0 0
99 0.89 0.5 0.83 0.5 1 2011 0 1
139 0.78 0.3 0.67 0 0 2011 1 0
162 1 0.4 0.33 0.5 0 2011 1 0
108 1 0.6 0.83 0.5 0.5 2011 0 1
159 0.89 0.4 1 0 0.5 2011 1 0
74 0.44 0.3 0.83 0 0 2011 0 0
110 0.78 0.8 0.83 1 1 2011 1 1
96 0.89 0.6 0.5 1 1 2011 0 0
116 0.67 0.3 0.5 0 0 2011 0 0
87 0.78 0.5 0.83 0.5 1 2011 0 0
97 0.78 0.4 1 0 1 2011 0 1
127 0.33 0.3 0.33 0 0 2011 0 0
106 0.89 0.7 1 0 0.5 2011 0 1
80 0.89 0.2 0.67 0.5 0.5 2011 0 1
74 0.89 0.4 0.83 0 1 2011 0 0
91 0.89 0.6 1 0.5 0.5 2011 0 0
133 0.56 0.6 0.83 0 1 2011 0 0
74 0.67 0.6 0.83 0.5 0.5 2011 0 1
114 0.67 0.4 1 0.5 1 2011 0 1
140 0.78 0.6 0.83 0 1 2011 0 1
95 0.78 0.5 1 0.5 1 2011 0 0
98 0.78 0.5 0.83 0 1 2011 0 1
121 0.89 0.6 0.67 0 1 2011 0 0
126 1 0.8 0.83 0.5 1 2011 0 1
98 0.89 0.5 0.83 1 0.5 2011 0 1
95 0.89 0.6 0.83 0.5 1 2011 0 1
110 0.78 0.4 0.83 0.5 1 2011 0 1
70 1 0.3 0.67 0.5 1 2011 0 1
102 0.78 0.3 0.83 0 0.5 2011 0 0
86 0.67 0.2 0 0 0 2011 0 1
130 0.78 0.4 0.83 0 0.5 2011 0 1
96 0.89 0.5 1 0 0.5 2011 0 1
102 0.67 0.3 0.17 0.5 0 2011 0 0
100 0.22 0.4 0.17 0.5 0 2011 0 0
94 0.44 0.5 0.5 0 0 2011 0 0
52 0.89 0.3 0.5 0 1 2011 0 0
98 0.67 0.5 1 0 0.5 2011 0 0
118 0.89 0.4 0.67 0 0.5 2011 0 0
99 0.67 0.4 0.83 0 1 2011 0 1
48 0.78 0.6 1 1 1 2012 1 1
50 0.78 0.3 1 1 1 2012 1 1
150 0.78 0.4 1 1 0.5 2012 1 1
154 1 0.3 1 1 1 2012 1 1
109 0.78 1 1 1 1 2012 0 0
68 0.67 0.4 1 0 0.5 2012 0 1
194 0.89 0.8 0.83 0.5 1 2012 1 1
158 0.89 0.3 1 1 1 2012 1 0
159 1 0.5 0.83 0 1 2012 1 1
67 0.78 0.4 1 0 0.5 2012 1 0
147 0.67 0.3 0.83 0 1 2012 1 0
39 0.89 0.5 0.83 0 1 2012 1 1
100 0.67 0.3 1 0 1 2012 1 1
111 0.67 0.3 0.67 0 1 2012 1 1
138 1 0.4 0.83 0 1 2012 1 1
101 0.67 0.3 1 0 0.5 2012 1 1
131 1 0.6 1 0.5 0.5 2012 0 1
101 0.89 0.6 0.83 1 1 2012 1 1
114 0.89 0.4 1 1 1 2012 1 1
165 1 0.4 1 0 0 2012 1 0
114 0.67 0.4 1 0 0.5 2012 1 1
111 0.44 0.3 0.67 0.5 1 2012 1 1
75 0.89 0.2 1 1 0 2012 1 1
82 0.56 0.5 0.83 0 1 2012 1 1
121 0.78 0.4 1 1 1 2012 1 1
32 1 0.4 1 0 0 2012 1 1
150 1 0.4 0.83 0 1 2012 1 0
117 0.89 0.3 0.67 0.5 0.5 2012 1 1
71 0.67 0.4 0.83 1 0.5 2012 0 1
165 0.89 0.2 1 0.5 1 2012 1 1
154 0.33 0 0 0 0 2012 1 1
126 0.89 0.4 1 0.5 1 2012 1 1
149 0.78 0.6 1 1 1 2012 1 0
145 1 0.4 0.67 0 0.5 2012 1 0
120 0.44 0.4 1 0 0.5 2012 1 1
109 0.67 0.4 0.83 0.5 0 2012 1 0
132 0.33 0.2 0.17 0.5 0 2012 1 0
172 0.89 0.4 0.83 1 1 2012 1 1
169 0.89 0.3 0.83 0 0.5 2012 1 0
114 1 0.6 0.83 1 0 2012 1 1
156 0.89 0.6 0.83 0 1 2012 1 1
172 0.89 0.4 0.83 0 1 2012 1 0
68 1 0.5 1 1 0.5 2012 0 1
89 0.89 0.4 0.83 0.5 1 2012 0 1
167 1 0.6 1 1 1 2012 1 1
113 0.78 0.6 0.83 0.5 1 2012 1 0
115 0.78 0.9 1 0.5 1 2012 0 0
78 0.67 0.4 0.83 0.5 0 2012 0 0
118 0.89 0.8 1 0.5 1 2012 0 0
87 0.67 0.5 0.83 0 1 2012 0 1
173 0.78 0.4 0.83 0 0 2012 1 0
2 0.89 0.4 1 1 0.5 2012 1 1
162 0.89 0.7 1 1 0.5 2012 0 0
49 0.78 0.4 1 1 1 2012 0 1
122 1 0.8 1 0.5 1 2012 0 0
96 1 0.4 1 1 0.5 2012 0 1
100 1 0.3 1 0 0.5 2012 0 0
82 0.67 0.5 1 0.5 1 2012 0 0
100 0.89 0.8 1 1 1 2012 0 1
115 1 0.4 0.83 0 0.5 2012 0 0
141 1 1 1 0.5 0 2012 0 1
165 0.89 0.5 1 1 1 2012 1 1
165 0.89 0.5 1 1 1 2012 1 1
110 0.89 0.3 1 0 1 2012 0 1
118 0.89 0.3 0.83 0.5 1 2012 1 1
158 0.89 0.3 0.5 0 1 2012 1 0
146 1 0.4 0.67 0.5 0.5 2012 0 1
49 0.67 0.5 1 0 1 2012 1 0
90 1 0.5 0.67 0.5 1 2012 0 0
121 0.89 0.4 1 0 0 2012 0 0
155 0.89 0.7 1 0.5 0 2012 1 1
104 0.89 0.5 0.5 0 0.5 2012 0 0
147 0.89 0.4 0.67 1 0 2012 0 1
110 1 0.7 0.67 0 1 2012 0 0
108 1 0.7 0.67 0 1 2012 0 0
113 1 0.7 0.67 0 1 2012 0 0
115 0.89 0.7 0.67 0 1 2012 0 0
61 0.89 0.7 0.67 0 0 2012 0 1
60 0.89 0.7 1 0.5 1 2012 0 1
109 0.33 0.1 0.67 0.5 0 2012 0 1
68 0.67 0.2 0.67 0.5 1 2012 0 1
111 0.56 0.3 0.33 0 1 2012 0 0
77 0.44 0.6 0.83 0 0.5 2012 0 0
73 1 0.8 1 1 1 2012 0 1
151 0.89 0.8 1 0.5 0.5 2012 1 0
89 0.33 0 0.17 0 0 2012 0 0
78 0.67 0.3 0.67 0 1 2012 0 0
110 0.67 0.6 0.83 0.5 1 2012 0 0
220 1 0.5 0.83 0 1 2012 1 1
65 0.78 0.7 1 0 0.5 2012 0 1
141 0.67 0.3 0.83 0.5 1 2012 1 0
117 1 0.3 1 0 0 2012 0 0
122 0.78 0.4 1 0 0.5 2012 1 1
63 0.89 0.4 0.83 0 1 2012 0 0
44 0.89 0.1 0.83 0 1 2012 1 1
52 0.89 0.5 1 0 1 2012 0 1
131 0 0 0 0 0 2012 0 0
101 0.67 0.4 1 0.5 0 2012 0 1
42 1 0.6 0.83 1 0.5 2012 0 1
152 1 0.4 1 0.5 1 2012 1 1
107 0.67 0.1 0.33 0.5 1 2012 1 0
77 0.89 0.3 0.83 0 1 2012 0 0
154 0.89 0.7 0.83 0 1 2012 1 0
103 0.56 0.3 0.17 0 1 2012 1 1
96 0.67 0.5 0.83 0.5 0 2012 0 1
175 1 0.3 0.83 1 1 2012 1 1
57 1 0.6 0.67 0.5 1 2012 0 1
112 1 0.9 1 0 1 2012 0 0
143 0.67 0.4 0.83 0.5 1 2012 1 0
49 0.44 0.3 1 0.5 0.5 2012 0 0
110 0.89 0.9 1 1 1 2012 1 1
131 0.44 0.5 1 0.5 0 2012 1 1
167 0.56 0.3 1 0.5 0.5 2012 1 0
56 0.89 0.6 0.83 0 0.5 2012 0 0
137 0.67 0.2 1 0 0.5 2012 1 0
86 0.89 0.4 0.83 0.5 1 2012 0 1
121 1 0.5 0.83 0.5 0.5 2012 1 1
149 0.78 0.4 0.83 0 0.5 2012 1 0
168 0.44 0 0 0 0 2012 1 0
140 0.89 0.2 1 0.5 1 2012 1 0
88 0.89 0.5 1 0.5 1 2012 0 1
168 0.89 0.3 1 0 0.5 2012 1 1
94 0.44 0 0 0 0 2012 1 1
51 1 0.5 0.83 0 1 2012 1 1
48 0.89 0.6 0.83 0 1 2012 0 0
145 0.67 0.3 0.83 0.5 0.5 2012 1 1
66 0.33 0 0 0 0 2012 1 1
85 0.78 0.3 0.67 0.5 0 2012 0 1
109 0.89 0.5 1 0.5 1 2012 1 0
63 0.78 0.4 0.67 0 1 2012 0 0
102 0.78 0.5 0.83 0 0.5 2012 0 1
162 0.89 0.7 1 1 0.5 2012 0 0
86 0.78 0.8 1 0.5 1 2012 0 1
114 0.78 0.6 1 0.5 1 2012 0 1
164 0.67 0.4 0.83 0 0.5 2012 1 0
119 0.89 0.5 0.83 0.5 0 2012 1 1
126 0.89 0.5 1 0.5 1 2012 1 0
132 0.78 0.3 1 0 1 2012 1 1
142 1 0.6 1 0.5 1 2012 1 1
83 1 0.3 0.67 0 0.5 2012 1 0
94 0.78 0.6 0.83 0.5 0.5 2012 0 1
81 0.78 0.3 0.33 0 1 2012 0 0
166 0.89 0.7 1 1 1 2012 1 1
110 0.89 0.7 1 0 1 2012 0 0
64 0.67 0.6 0.67 0.5 1 2012 0 1
93 1 0.5 1 0.5 0 2012 1 0
104 0.67 0.5 0.83 0 0.5 2012 0 0
105 0.56 0.4 0.67 0 1 2012 0 1
49 0.78 0.4 1 1 1 2012 0 1
88 1 0.7 1 0 1 2012 0 0
95 0.67 0.2 0.17 0.5 0 2012 0 1
102 0.78 0.5 0.83 0 0.5 2012 0 1
99 0.56 0.4 0.83 0.5 0 2012 0 0
63 1 0.2 1 1 1 2012 0 1
76 0.89 0.5 0.67 0 0 2012 0 0
109 0.44 0.4 0.5 0 1 2012 0 0
117 1 0.7 0.67 1 1 2012 0 1
57 0.89 0.6 0.83 1 0 2012 0 1
120 0.78 0.4 0.83 0 0 2012 0 0
73 0.89 0.5 1 1 1 2012 0 1
91 0.11 0 0.17 0 0 2012 0 0
108 0.89 0.7 1 0.5 1 2012 0 0
105 0.89 0.4 0.67 0 1 2012 0 1
117 1 0.5 0.67 0 1 2012 1 0
119 0.89 0.6 0.83 0 0.5 2012 0 0
31 1 0.8 0.5 0.5 0.5 2012 0 1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 10 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271894&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]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271894&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271894&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 time10 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 29968.4 + 16.9874Calculation[t] + 17.8704Algebraic_Reasoning[t] -8.72049Graphical_Interpretation[t] -0.53205Probability_and_Sampling[t] -4.8185Estimation[t] -14.8543year[t] + 42.1657group[t] -7.42161gender[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
LFM[t] =  +  29968.4 +  16.9874Calculation[t] +  17.8704Algebraic_Reasoning[t] -8.72049Graphical_Interpretation[t] -0.53205Probability_and_Sampling[t] -4.8185Estimation[t] -14.8543year[t] +  42.1657group[t] -7.42161gender[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271894&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]LFM[t] =  +  29968.4 +  16.9874Calculation[t] +  17.8704Algebraic_Reasoning[t] -8.72049Graphical_Interpretation[t] -0.53205Probability_and_Sampling[t] -4.8185Estimation[t] -14.8543year[t] +  42.1657group[t] -7.42161gender[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271894&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271894&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] = + 29968.4 + 16.9874Calculation[t] + 17.8704Algebraic_Reasoning[t] -8.72049Graphical_Interpretation[t] -0.53205Probability_and_Sampling[t] -4.8185Estimation[t] -14.8543year[t] + 42.1657group[t] -7.42161gender[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)29968.48334.713.5960.000384910.000192455
Calculation16.987413.42931.2650.2069840.103492
Algebraic_Reasoning17.870412.72481.4040.1613620.0806809
Graphical_Interpretation-8.7204910.0253-0.86980.3851590.192579
Probability_and_Sampling-0.532056.01516-0.088450.9295840.464792
Estimation-4.81855.54547-0.86890.3856730.192836
year-14.85434.14336-3.5850.0004000380.000200019
group42.16574.1382710.197.857e-213.9285e-21
gender-7.421614.31272-1.7210.08642520.0432126

\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) & 29968.4 & 8334.71 & 3.596 & 0.00038491 & 0.000192455 \tabularnewline
Calculation & 16.9874 & 13.4293 & 1.265 & 0.206984 & 0.103492 \tabularnewline
Algebraic_Reasoning & 17.8704 & 12.7248 & 1.404 & 0.161362 & 0.0806809 \tabularnewline
Graphical_Interpretation & -8.72049 & 10.0253 & -0.8698 & 0.385159 & 0.192579 \tabularnewline
Probability_and_Sampling & -0.53205 & 6.01516 & -0.08845 & 0.929584 & 0.464792 \tabularnewline
Estimation & -4.8185 & 5.54547 & -0.8689 & 0.385673 & 0.192836 \tabularnewline
year & -14.8543 & 4.14336 & -3.585 & 0.000400038 & 0.000200019 \tabularnewline
group & 42.1657 & 4.13827 & 10.19 & 7.857e-21 & 3.9285e-21 \tabularnewline
gender & -7.42161 & 4.31272 & -1.721 & 0.0864252 & 0.0432126 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271894&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]29968.4[/C][C]8334.71[/C][C]3.596[/C][C]0.00038491[/C][C]0.000192455[/C][/ROW]
[ROW][C]Calculation[/C][C]16.9874[/C][C]13.4293[/C][C]1.265[/C][C]0.206984[/C][C]0.103492[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]17.8704[/C][C]12.7248[/C][C]1.404[/C][C]0.161362[/C][C]0.0806809[/C][/ROW]
[ROW][C]Graphical_Interpretation[/C][C]-8.72049[/C][C]10.0253[/C][C]-0.8698[/C][C]0.385159[/C][C]0.192579[/C][/ROW]
[ROW][C]Probability_and_Sampling[/C][C]-0.53205[/C][C]6.01516[/C][C]-0.08845[/C][C]0.929584[/C][C]0.464792[/C][/ROW]
[ROW][C]Estimation[/C][C]-4.8185[/C][C]5.54547[/C][C]-0.8689[/C][C]0.385673[/C][C]0.192836[/C][/ROW]
[ROW][C]year[/C][C]-14.8543[/C][C]4.14336[/C][C]-3.585[/C][C]0.000400038[/C][C]0.000200019[/C][/ROW]
[ROW][C]group[/C][C]42.1657[/C][C]4.13827[/C][C]10.19[/C][C]7.857e-21[/C][C]3.9285e-21[/C][/ROW]
[ROW][C]gender[/C][C]-7.42161[/C][C]4.31272[/C][C]-1.721[/C][C]0.0864252[/C][C]0.0432126[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271894&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271894&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)29968.48334.713.5960.000384910.000192455
Calculation16.987413.42931.2650.2069840.103492
Algebraic_Reasoning17.870412.72481.4040.1613620.0806809
Graphical_Interpretation-8.7204910.0253-0.86980.3851590.192579
Probability_and_Sampling-0.532056.01516-0.088450.9295840.464792
Estimation-4.81855.54547-0.86890.3856730.192836
year-14.85434.14336-3.5850.0004000380.000200019
group42.16574.1382710.197.857e-213.9285e-21
gender-7.421614.31272-1.7210.08642520.0432126






Multiple Linear Regression - Regression Statistics
Multiple R0.568934
R-squared0.323686
Adjusted R-squared0.303573
F-TEST (value)16.0931
F-TEST (DF numerator)8
F-TEST (DF denominator)269
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation33.2426
Sum Squared Residuals297265

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.568934 \tabularnewline
R-squared & 0.323686 \tabularnewline
Adjusted R-squared & 0.303573 \tabularnewline
F-TEST (value) & 16.0931 \tabularnewline
F-TEST (DF numerator) & 8 \tabularnewline
F-TEST (DF denominator) & 269 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 33.2426 \tabularnewline
Sum Squared Residuals & 297265 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271894&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.568934[/C][/ROW]
[ROW][C]R-squared[/C][C]0.323686[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.303573[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]16.0931[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]8[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]269[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]33.2426[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]297265[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271894&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271894&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 R0.568934
R-squared0.323686
Adjusted R-squared0.303573
F-TEST (value)16.0931
F-TEST (DF numerator)8
F-TEST (DF denominator)269
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation33.2426
Sum Squared Residuals297265






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1149156.264-7.26416
2139142.903-3.90339
3148147.3210.678501
4158147.98810.0121
5128147.607-19.6067
6224147.10876.8921
7159153.3565.64355
8105145.597-40.5967
9159151.2967.70404
10167149.59117.4087
11165152.11212.8879
12159139.47819.5218
13119142.043-23.0431
14176151.68224.3183
1554156.805-102.805
1691113.016-22.016
17163143.52619.4744
18124151.557-27.5571
19137104.26832.7324
20121144.757-23.7566
21153143.0149.98628
22148143.4744.52603
23221150.50970.4906
24188137.80850.1917
25149149.547-0.547456
26244134.509109.491
27148109.79338.207
2892109.047-17.0475
29150139.910.1001
30153143.9029.09808
3194144.593-50.5934
32156149.9336.06677
33132147.404-15.4042
34161143.48117.5186
35105144.015-39.0146
3697138.387-41.3875
37151145.25.79975
3813199.721731.2783
39166145.31320.6874
40157152.4174.5834
41111143.749-32.7486
42145139.6345.36614
43162143.20818.7921
44163141.76921.2315
455993.6924-34.6924
46187154.60332.3971
47109140.686-31.686
489097.1636-7.16356
49105156.347-51.3465
5083102.443-19.4431
5111699.611316.3887
524296.4877-54.4877
53148136.80311.1971
54155103.79951.201
55125142.584-17.5837
56116144.811-28.8105
57128104.7723.2304
58138144.415-6.41463
5949102.73-53.73
6096108.272-12.2719
61164150.79413.2061
62162153.8188.18249
6399141.531-42.5312
64202142.08659.9139
65186149.93336.0668
666695.6425-29.6425
67183144.49138.5095
68214137.8976.1101
69188141.72446.2757
70104105.349-1.34879
71177155.68621.3139
72126152.609-26.6085
7376112.356-36.3555
7499100.738-1.73765
75139151.362-12.3621
76162159.5852.41469
77108106.8031.19745
78159149.7319.26925
7974102.025-28.0254
80110146.13-36.1299
8196112.558-16.558
82116108.817.18977
8387106.291-19.2906
849795.86551.13447
85127104.51722.483
86106105.5050.495482
878099.181-19.181
8874106.638-32.6382
8991110.873-19.8731
90133104.60628.3935
9174101.197-27.1967
9211493.730920.2691
93140100.92239.0779
9495104.808-9.80816
959899.1351-1.13506
96121111.6089.3924
97126107.96718.0326
9898102.881-4.88087
9995102.525-7.52469
10011097.08212.918
10170100.427-30.4275
102102105.392-3.39183
10386103.962-17.9618
10413099.757330.2427
10596101.93-5.93044
106102111.422-9.42197
107100105.565-5.56468
10894108.477-14.4772
10952107.729-55.729
11098105.615-7.61482
111118110.4437.55723
1129995.47943.5206
11348126.219-78.219
11450120.858-70.8579
115150125.05424.9458
116154124.59529.4049
11710998.62310.377
1186881.5519-13.5519
119194133.4160.5898
120158130.14827.8519
121159130.18428.8163
12267133.008-66.0078
123147128.42518.5746
12439128.315-89.3151
125100119.521-19.5213
126111122.399-11.3991
127138128.3979.60333
128101121.931-20.9306
12913190.465840.5342
130101129.57-28.5701
131114124.514-10.5135
132165139.15425.8457
133114123.718-9.7176
134111118.226-7.22594
13575125.758-50.7579
13682122.709-40.7093
137121122.645-1.64491
13832131.733-99.7327
139150135.81814.1817
140117128.28-11.2795
1417182.5023-11.5023
142165121.20543.7945
143154121.92332.0765
144126124.781.22045
145149133.64115.3594
146145139.6235.37719
147120119.810.189506
148109134.765-25.7649
149132131.1710.829362
150172125.99646.004
151169134.57234.4281
152114136.257-22.2572
153156130.10225.8979
154172133.9538.0503
1556888.4127-20.4127
1568984.09634.90371
157167129.95637.0438
158113135.389-22.3891
15911597.10217.898
1607892.5992-14.5992
16111897.183620.8164
1628782.41214.58787
163173136.936.1004
1642126.923-124.923
16516297.539864.4602
1664980.4792-31.4792
16712299.052222.9478
1689686.62569.37435
16910092.79237.20773
1708288.0852-6.08524
17110089.49610.504
17211596.061818.9382
173141100.02340.9768
174165126.30138.6994
175165126.30138.6994
17611081.092828.9072
177118124.475-6.47499
178158135.0422.9596
17914689.769456.2306
18049130.517-81.517
1819096.5688-6.56884
18212195.119925.8801
183155134.95920.0408
18410498.8585.14202
18514790.04456.956
186110100.4099.59105
187108100.4097.59105
188113100.40912.5911
18911598.540316.4597
1906195.9372-34.9372
1916087.9749-27.9749
19210975.43633.564
1936878.1803-10.1803
19411188.751322.2487
1957790.1229-13.1229
1967391.3646-18.3646
197151141.7599.24142
1988985.69683.30316
1997887.6549-9.65494
20011091.354818.6452
201220130.18489.8163
2026588.7816-23.7816
203141128.15912.8406
20411795.201521.7985
205122125.586-3.58621
2066391.7839-28.7839
20744121.167-77.1669
2085284.6669-32.6669
20913181.573549.4265
21010183.695117.3049
2114291.6822-49.6822
212152126.64825.3518
213107128.946-21.9455
2147789.9969-12.9969
215154139.31114.6892
216103124.891-21.8907
2179686.96469.0354
218175126.07848.9224
2195790.9343-33.9343
220112101.10510.8947
221143129.94613.0536
2224983.0133-34.0133
223110133.449-23.4487
224131123.7417.25924
225167127.21839.7825
2265697.7673-41.7673
227137127.5659.43487
2288684.09631.90371
229121132.327-11.3269
230149134.4914.5097
231168131.21436.7863
232140128.62711.3729
2338884.40093.59915
234168125.66842.3322
23594123.792-29.7921
23651130.184-79.1837
2374895.358-47.358
238145123.14721.853
23966121.923-55.9235
2408586.6544-1.65441
241109133.988-24.9882
2426391.3106-28.3106
24310286.6915.31
24416297.539864.4602
2458687.8934-1.89336
24611484.319329.6807
247164132.62231.3783
248119132.868-13.8676
249126133.988-7.9882
250132121.3910.6101
251142130.22211.7778
25283137.836-54.8358
2539488.2115.78899
2548192.4885-11.4885
255166129.87536.1254
25611095.662614.3374
2576485.3284-21.3284
25893140.675-47.6753
25910492.24311.757
26010580.151824.8482
2614980.4792-31.4792
2628897.5312-9.53119
2639587.3597.641
26410286.6915.31
2659990.73068.26944
2666380.6423-17.6423
2677699.7847-23.7847
26810987.017421.9826
26911792.455324.5447
2705792.2228-35.2228
27112094.733825.2662
2727384.1348-11.1348
2739181.95969.04039
27410895.396512.6035
27510585.757619.2424
276117139.001-22.0006
27711997.767321.2327
2783198.4001-67.4001

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 149 & 156.264 & -7.26416 \tabularnewline
2 & 139 & 142.903 & -3.90339 \tabularnewline
3 & 148 & 147.321 & 0.678501 \tabularnewline
4 & 158 & 147.988 & 10.0121 \tabularnewline
5 & 128 & 147.607 & -19.6067 \tabularnewline
6 & 224 & 147.108 & 76.8921 \tabularnewline
7 & 159 & 153.356 & 5.64355 \tabularnewline
8 & 105 & 145.597 & -40.5967 \tabularnewline
9 & 159 & 151.296 & 7.70404 \tabularnewline
10 & 167 & 149.591 & 17.4087 \tabularnewline
11 & 165 & 152.112 & 12.8879 \tabularnewline
12 & 159 & 139.478 & 19.5218 \tabularnewline
13 & 119 & 142.043 & -23.0431 \tabularnewline
14 & 176 & 151.682 & 24.3183 \tabularnewline
15 & 54 & 156.805 & -102.805 \tabularnewline
16 & 91 & 113.016 & -22.016 \tabularnewline
17 & 163 & 143.526 & 19.4744 \tabularnewline
18 & 124 & 151.557 & -27.5571 \tabularnewline
19 & 137 & 104.268 & 32.7324 \tabularnewline
20 & 121 & 144.757 & -23.7566 \tabularnewline
21 & 153 & 143.014 & 9.98628 \tabularnewline
22 & 148 & 143.474 & 4.52603 \tabularnewline
23 & 221 & 150.509 & 70.4906 \tabularnewline
24 & 188 & 137.808 & 50.1917 \tabularnewline
25 & 149 & 149.547 & -0.547456 \tabularnewline
26 & 244 & 134.509 & 109.491 \tabularnewline
27 & 148 & 109.793 & 38.207 \tabularnewline
28 & 92 & 109.047 & -17.0475 \tabularnewline
29 & 150 & 139.9 & 10.1001 \tabularnewline
30 & 153 & 143.902 & 9.09808 \tabularnewline
31 & 94 & 144.593 & -50.5934 \tabularnewline
32 & 156 & 149.933 & 6.06677 \tabularnewline
33 & 132 & 147.404 & -15.4042 \tabularnewline
34 & 161 & 143.481 & 17.5186 \tabularnewline
35 & 105 & 144.015 & -39.0146 \tabularnewline
36 & 97 & 138.387 & -41.3875 \tabularnewline
37 & 151 & 145.2 & 5.79975 \tabularnewline
38 & 131 & 99.7217 & 31.2783 \tabularnewline
39 & 166 & 145.313 & 20.6874 \tabularnewline
40 & 157 & 152.417 & 4.5834 \tabularnewline
41 & 111 & 143.749 & -32.7486 \tabularnewline
42 & 145 & 139.634 & 5.36614 \tabularnewline
43 & 162 & 143.208 & 18.7921 \tabularnewline
44 & 163 & 141.769 & 21.2315 \tabularnewline
45 & 59 & 93.6924 & -34.6924 \tabularnewline
46 & 187 & 154.603 & 32.3971 \tabularnewline
47 & 109 & 140.686 & -31.686 \tabularnewline
48 & 90 & 97.1636 & -7.16356 \tabularnewline
49 & 105 & 156.347 & -51.3465 \tabularnewline
50 & 83 & 102.443 & -19.4431 \tabularnewline
51 & 116 & 99.6113 & 16.3887 \tabularnewline
52 & 42 & 96.4877 & -54.4877 \tabularnewline
53 & 148 & 136.803 & 11.1971 \tabularnewline
54 & 155 & 103.799 & 51.201 \tabularnewline
55 & 125 & 142.584 & -17.5837 \tabularnewline
56 & 116 & 144.811 & -28.8105 \tabularnewline
57 & 128 & 104.77 & 23.2304 \tabularnewline
58 & 138 & 144.415 & -6.41463 \tabularnewline
59 & 49 & 102.73 & -53.73 \tabularnewline
60 & 96 & 108.272 & -12.2719 \tabularnewline
61 & 164 & 150.794 & 13.2061 \tabularnewline
62 & 162 & 153.818 & 8.18249 \tabularnewline
63 & 99 & 141.531 & -42.5312 \tabularnewline
64 & 202 & 142.086 & 59.9139 \tabularnewline
65 & 186 & 149.933 & 36.0668 \tabularnewline
66 & 66 & 95.6425 & -29.6425 \tabularnewline
67 & 183 & 144.491 & 38.5095 \tabularnewline
68 & 214 & 137.89 & 76.1101 \tabularnewline
69 & 188 & 141.724 & 46.2757 \tabularnewline
70 & 104 & 105.349 & -1.34879 \tabularnewline
71 & 177 & 155.686 & 21.3139 \tabularnewline
72 & 126 & 152.609 & -26.6085 \tabularnewline
73 & 76 & 112.356 & -36.3555 \tabularnewline
74 & 99 & 100.738 & -1.73765 \tabularnewline
75 & 139 & 151.362 & -12.3621 \tabularnewline
76 & 162 & 159.585 & 2.41469 \tabularnewline
77 & 108 & 106.803 & 1.19745 \tabularnewline
78 & 159 & 149.731 & 9.26925 \tabularnewline
79 & 74 & 102.025 & -28.0254 \tabularnewline
80 & 110 & 146.13 & -36.1299 \tabularnewline
81 & 96 & 112.558 & -16.558 \tabularnewline
82 & 116 & 108.81 & 7.18977 \tabularnewline
83 & 87 & 106.291 & -19.2906 \tabularnewline
84 & 97 & 95.8655 & 1.13447 \tabularnewline
85 & 127 & 104.517 & 22.483 \tabularnewline
86 & 106 & 105.505 & 0.495482 \tabularnewline
87 & 80 & 99.181 & -19.181 \tabularnewline
88 & 74 & 106.638 & -32.6382 \tabularnewline
89 & 91 & 110.873 & -19.8731 \tabularnewline
90 & 133 & 104.606 & 28.3935 \tabularnewline
91 & 74 & 101.197 & -27.1967 \tabularnewline
92 & 114 & 93.7309 & 20.2691 \tabularnewline
93 & 140 & 100.922 & 39.0779 \tabularnewline
94 & 95 & 104.808 & -9.80816 \tabularnewline
95 & 98 & 99.1351 & -1.13506 \tabularnewline
96 & 121 & 111.608 & 9.3924 \tabularnewline
97 & 126 & 107.967 & 18.0326 \tabularnewline
98 & 98 & 102.881 & -4.88087 \tabularnewline
99 & 95 & 102.525 & -7.52469 \tabularnewline
100 & 110 & 97.082 & 12.918 \tabularnewline
101 & 70 & 100.427 & -30.4275 \tabularnewline
102 & 102 & 105.392 & -3.39183 \tabularnewline
103 & 86 & 103.962 & -17.9618 \tabularnewline
104 & 130 & 99.7573 & 30.2427 \tabularnewline
105 & 96 & 101.93 & -5.93044 \tabularnewline
106 & 102 & 111.422 & -9.42197 \tabularnewline
107 & 100 & 105.565 & -5.56468 \tabularnewline
108 & 94 & 108.477 & -14.4772 \tabularnewline
109 & 52 & 107.729 & -55.729 \tabularnewline
110 & 98 & 105.615 & -7.61482 \tabularnewline
111 & 118 & 110.443 & 7.55723 \tabularnewline
112 & 99 & 95.4794 & 3.5206 \tabularnewline
113 & 48 & 126.219 & -78.219 \tabularnewline
114 & 50 & 120.858 & -70.8579 \tabularnewline
115 & 150 & 125.054 & 24.9458 \tabularnewline
116 & 154 & 124.595 & 29.4049 \tabularnewline
117 & 109 & 98.623 & 10.377 \tabularnewline
118 & 68 & 81.5519 & -13.5519 \tabularnewline
119 & 194 & 133.41 & 60.5898 \tabularnewline
120 & 158 & 130.148 & 27.8519 \tabularnewline
121 & 159 & 130.184 & 28.8163 \tabularnewline
122 & 67 & 133.008 & -66.0078 \tabularnewline
123 & 147 & 128.425 & 18.5746 \tabularnewline
124 & 39 & 128.315 & -89.3151 \tabularnewline
125 & 100 & 119.521 & -19.5213 \tabularnewline
126 & 111 & 122.399 & -11.3991 \tabularnewline
127 & 138 & 128.397 & 9.60333 \tabularnewline
128 & 101 & 121.931 & -20.9306 \tabularnewline
129 & 131 & 90.4658 & 40.5342 \tabularnewline
130 & 101 & 129.57 & -28.5701 \tabularnewline
131 & 114 & 124.514 & -10.5135 \tabularnewline
132 & 165 & 139.154 & 25.8457 \tabularnewline
133 & 114 & 123.718 & -9.7176 \tabularnewline
134 & 111 & 118.226 & -7.22594 \tabularnewline
135 & 75 & 125.758 & -50.7579 \tabularnewline
136 & 82 & 122.709 & -40.7093 \tabularnewline
137 & 121 & 122.645 & -1.64491 \tabularnewline
138 & 32 & 131.733 & -99.7327 \tabularnewline
139 & 150 & 135.818 & 14.1817 \tabularnewline
140 & 117 & 128.28 & -11.2795 \tabularnewline
141 & 71 & 82.5023 & -11.5023 \tabularnewline
142 & 165 & 121.205 & 43.7945 \tabularnewline
143 & 154 & 121.923 & 32.0765 \tabularnewline
144 & 126 & 124.78 & 1.22045 \tabularnewline
145 & 149 & 133.641 & 15.3594 \tabularnewline
146 & 145 & 139.623 & 5.37719 \tabularnewline
147 & 120 & 119.81 & 0.189506 \tabularnewline
148 & 109 & 134.765 & -25.7649 \tabularnewline
149 & 132 & 131.171 & 0.829362 \tabularnewline
150 & 172 & 125.996 & 46.004 \tabularnewline
151 & 169 & 134.572 & 34.4281 \tabularnewline
152 & 114 & 136.257 & -22.2572 \tabularnewline
153 & 156 & 130.102 & 25.8979 \tabularnewline
154 & 172 & 133.95 & 38.0503 \tabularnewline
155 & 68 & 88.4127 & -20.4127 \tabularnewline
156 & 89 & 84.0963 & 4.90371 \tabularnewline
157 & 167 & 129.956 & 37.0438 \tabularnewline
158 & 113 & 135.389 & -22.3891 \tabularnewline
159 & 115 & 97.102 & 17.898 \tabularnewline
160 & 78 & 92.5992 & -14.5992 \tabularnewline
161 & 118 & 97.1836 & 20.8164 \tabularnewline
162 & 87 & 82.4121 & 4.58787 \tabularnewline
163 & 173 & 136.9 & 36.1004 \tabularnewline
164 & 2 & 126.923 & -124.923 \tabularnewline
165 & 162 & 97.5398 & 64.4602 \tabularnewline
166 & 49 & 80.4792 & -31.4792 \tabularnewline
167 & 122 & 99.0522 & 22.9478 \tabularnewline
168 & 96 & 86.6256 & 9.37435 \tabularnewline
169 & 100 & 92.7923 & 7.20773 \tabularnewline
170 & 82 & 88.0852 & -6.08524 \tabularnewline
171 & 100 & 89.496 & 10.504 \tabularnewline
172 & 115 & 96.0618 & 18.9382 \tabularnewline
173 & 141 & 100.023 & 40.9768 \tabularnewline
174 & 165 & 126.301 & 38.6994 \tabularnewline
175 & 165 & 126.301 & 38.6994 \tabularnewline
176 & 110 & 81.0928 & 28.9072 \tabularnewline
177 & 118 & 124.475 & -6.47499 \tabularnewline
178 & 158 & 135.04 & 22.9596 \tabularnewline
179 & 146 & 89.7694 & 56.2306 \tabularnewline
180 & 49 & 130.517 & -81.517 \tabularnewline
181 & 90 & 96.5688 & -6.56884 \tabularnewline
182 & 121 & 95.1199 & 25.8801 \tabularnewline
183 & 155 & 134.959 & 20.0408 \tabularnewline
184 & 104 & 98.858 & 5.14202 \tabularnewline
185 & 147 & 90.044 & 56.956 \tabularnewline
186 & 110 & 100.409 & 9.59105 \tabularnewline
187 & 108 & 100.409 & 7.59105 \tabularnewline
188 & 113 & 100.409 & 12.5911 \tabularnewline
189 & 115 & 98.5403 & 16.4597 \tabularnewline
190 & 61 & 95.9372 & -34.9372 \tabularnewline
191 & 60 & 87.9749 & -27.9749 \tabularnewline
192 & 109 & 75.436 & 33.564 \tabularnewline
193 & 68 & 78.1803 & -10.1803 \tabularnewline
194 & 111 & 88.7513 & 22.2487 \tabularnewline
195 & 77 & 90.1229 & -13.1229 \tabularnewline
196 & 73 & 91.3646 & -18.3646 \tabularnewline
197 & 151 & 141.759 & 9.24142 \tabularnewline
198 & 89 & 85.6968 & 3.30316 \tabularnewline
199 & 78 & 87.6549 & -9.65494 \tabularnewline
200 & 110 & 91.3548 & 18.6452 \tabularnewline
201 & 220 & 130.184 & 89.8163 \tabularnewline
202 & 65 & 88.7816 & -23.7816 \tabularnewline
203 & 141 & 128.159 & 12.8406 \tabularnewline
204 & 117 & 95.2015 & 21.7985 \tabularnewline
205 & 122 & 125.586 & -3.58621 \tabularnewline
206 & 63 & 91.7839 & -28.7839 \tabularnewline
207 & 44 & 121.167 & -77.1669 \tabularnewline
208 & 52 & 84.6669 & -32.6669 \tabularnewline
209 & 131 & 81.5735 & 49.4265 \tabularnewline
210 & 101 & 83.6951 & 17.3049 \tabularnewline
211 & 42 & 91.6822 & -49.6822 \tabularnewline
212 & 152 & 126.648 & 25.3518 \tabularnewline
213 & 107 & 128.946 & -21.9455 \tabularnewline
214 & 77 & 89.9969 & -12.9969 \tabularnewline
215 & 154 & 139.311 & 14.6892 \tabularnewline
216 & 103 & 124.891 & -21.8907 \tabularnewline
217 & 96 & 86.9646 & 9.0354 \tabularnewline
218 & 175 & 126.078 & 48.9224 \tabularnewline
219 & 57 & 90.9343 & -33.9343 \tabularnewline
220 & 112 & 101.105 & 10.8947 \tabularnewline
221 & 143 & 129.946 & 13.0536 \tabularnewline
222 & 49 & 83.0133 & -34.0133 \tabularnewline
223 & 110 & 133.449 & -23.4487 \tabularnewline
224 & 131 & 123.741 & 7.25924 \tabularnewline
225 & 167 & 127.218 & 39.7825 \tabularnewline
226 & 56 & 97.7673 & -41.7673 \tabularnewline
227 & 137 & 127.565 & 9.43487 \tabularnewline
228 & 86 & 84.0963 & 1.90371 \tabularnewline
229 & 121 & 132.327 & -11.3269 \tabularnewline
230 & 149 & 134.49 & 14.5097 \tabularnewline
231 & 168 & 131.214 & 36.7863 \tabularnewline
232 & 140 & 128.627 & 11.3729 \tabularnewline
233 & 88 & 84.4009 & 3.59915 \tabularnewline
234 & 168 & 125.668 & 42.3322 \tabularnewline
235 & 94 & 123.792 & -29.7921 \tabularnewline
236 & 51 & 130.184 & -79.1837 \tabularnewline
237 & 48 & 95.358 & -47.358 \tabularnewline
238 & 145 & 123.147 & 21.853 \tabularnewline
239 & 66 & 121.923 & -55.9235 \tabularnewline
240 & 85 & 86.6544 & -1.65441 \tabularnewline
241 & 109 & 133.988 & -24.9882 \tabularnewline
242 & 63 & 91.3106 & -28.3106 \tabularnewline
243 & 102 & 86.69 & 15.31 \tabularnewline
244 & 162 & 97.5398 & 64.4602 \tabularnewline
245 & 86 & 87.8934 & -1.89336 \tabularnewline
246 & 114 & 84.3193 & 29.6807 \tabularnewline
247 & 164 & 132.622 & 31.3783 \tabularnewline
248 & 119 & 132.868 & -13.8676 \tabularnewline
249 & 126 & 133.988 & -7.9882 \tabularnewline
250 & 132 & 121.39 & 10.6101 \tabularnewline
251 & 142 & 130.222 & 11.7778 \tabularnewline
252 & 83 & 137.836 & -54.8358 \tabularnewline
253 & 94 & 88.211 & 5.78899 \tabularnewline
254 & 81 & 92.4885 & -11.4885 \tabularnewline
255 & 166 & 129.875 & 36.1254 \tabularnewline
256 & 110 & 95.6626 & 14.3374 \tabularnewline
257 & 64 & 85.3284 & -21.3284 \tabularnewline
258 & 93 & 140.675 & -47.6753 \tabularnewline
259 & 104 & 92.243 & 11.757 \tabularnewline
260 & 105 & 80.1518 & 24.8482 \tabularnewline
261 & 49 & 80.4792 & -31.4792 \tabularnewline
262 & 88 & 97.5312 & -9.53119 \tabularnewline
263 & 95 & 87.359 & 7.641 \tabularnewline
264 & 102 & 86.69 & 15.31 \tabularnewline
265 & 99 & 90.7306 & 8.26944 \tabularnewline
266 & 63 & 80.6423 & -17.6423 \tabularnewline
267 & 76 & 99.7847 & -23.7847 \tabularnewline
268 & 109 & 87.0174 & 21.9826 \tabularnewline
269 & 117 & 92.4553 & 24.5447 \tabularnewline
270 & 57 & 92.2228 & -35.2228 \tabularnewline
271 & 120 & 94.7338 & 25.2662 \tabularnewline
272 & 73 & 84.1348 & -11.1348 \tabularnewline
273 & 91 & 81.9596 & 9.04039 \tabularnewline
274 & 108 & 95.3965 & 12.6035 \tabularnewline
275 & 105 & 85.7576 & 19.2424 \tabularnewline
276 & 117 & 139.001 & -22.0006 \tabularnewline
277 & 119 & 97.7673 & 21.2327 \tabularnewline
278 & 31 & 98.4001 & -67.4001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271894&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]156.264[/C][C]-7.26416[/C][/ROW]
[ROW][C]2[/C][C]139[/C][C]142.903[/C][C]-3.90339[/C][/ROW]
[ROW][C]3[/C][C]148[/C][C]147.321[/C][C]0.678501[/C][/ROW]
[ROW][C]4[/C][C]158[/C][C]147.988[/C][C]10.0121[/C][/ROW]
[ROW][C]5[/C][C]128[/C][C]147.607[/C][C]-19.6067[/C][/ROW]
[ROW][C]6[/C][C]224[/C][C]147.108[/C][C]76.8921[/C][/ROW]
[ROW][C]7[/C][C]159[/C][C]153.356[/C][C]5.64355[/C][/ROW]
[ROW][C]8[/C][C]105[/C][C]145.597[/C][C]-40.5967[/C][/ROW]
[ROW][C]9[/C][C]159[/C][C]151.296[/C][C]7.70404[/C][/ROW]
[ROW][C]10[/C][C]167[/C][C]149.591[/C][C]17.4087[/C][/ROW]
[ROW][C]11[/C][C]165[/C][C]152.112[/C][C]12.8879[/C][/ROW]
[ROW][C]12[/C][C]159[/C][C]139.478[/C][C]19.5218[/C][/ROW]
[ROW][C]13[/C][C]119[/C][C]142.043[/C][C]-23.0431[/C][/ROW]
[ROW][C]14[/C][C]176[/C][C]151.682[/C][C]24.3183[/C][/ROW]
[ROW][C]15[/C][C]54[/C][C]156.805[/C][C]-102.805[/C][/ROW]
[ROW][C]16[/C][C]91[/C][C]113.016[/C][C]-22.016[/C][/ROW]
[ROW][C]17[/C][C]163[/C][C]143.526[/C][C]19.4744[/C][/ROW]
[ROW][C]18[/C][C]124[/C][C]151.557[/C][C]-27.5571[/C][/ROW]
[ROW][C]19[/C][C]137[/C][C]104.268[/C][C]32.7324[/C][/ROW]
[ROW][C]20[/C][C]121[/C][C]144.757[/C][C]-23.7566[/C][/ROW]
[ROW][C]21[/C][C]153[/C][C]143.014[/C][C]9.98628[/C][/ROW]
[ROW][C]22[/C][C]148[/C][C]143.474[/C][C]4.52603[/C][/ROW]
[ROW][C]23[/C][C]221[/C][C]150.509[/C][C]70.4906[/C][/ROW]
[ROW][C]24[/C][C]188[/C][C]137.808[/C][C]50.1917[/C][/ROW]
[ROW][C]25[/C][C]149[/C][C]149.547[/C][C]-0.547456[/C][/ROW]
[ROW][C]26[/C][C]244[/C][C]134.509[/C][C]109.491[/C][/ROW]
[ROW][C]27[/C][C]148[/C][C]109.793[/C][C]38.207[/C][/ROW]
[ROW][C]28[/C][C]92[/C][C]109.047[/C][C]-17.0475[/C][/ROW]
[ROW][C]29[/C][C]150[/C][C]139.9[/C][C]10.1001[/C][/ROW]
[ROW][C]30[/C][C]153[/C][C]143.902[/C][C]9.09808[/C][/ROW]
[ROW][C]31[/C][C]94[/C][C]144.593[/C][C]-50.5934[/C][/ROW]
[ROW][C]32[/C][C]156[/C][C]149.933[/C][C]6.06677[/C][/ROW]
[ROW][C]33[/C][C]132[/C][C]147.404[/C][C]-15.4042[/C][/ROW]
[ROW][C]34[/C][C]161[/C][C]143.481[/C][C]17.5186[/C][/ROW]
[ROW][C]35[/C][C]105[/C][C]144.015[/C][C]-39.0146[/C][/ROW]
[ROW][C]36[/C][C]97[/C][C]138.387[/C][C]-41.3875[/C][/ROW]
[ROW][C]37[/C][C]151[/C][C]145.2[/C][C]5.79975[/C][/ROW]
[ROW][C]38[/C][C]131[/C][C]99.7217[/C][C]31.2783[/C][/ROW]
[ROW][C]39[/C][C]166[/C][C]145.313[/C][C]20.6874[/C][/ROW]
[ROW][C]40[/C][C]157[/C][C]152.417[/C][C]4.5834[/C][/ROW]
[ROW][C]41[/C][C]111[/C][C]143.749[/C][C]-32.7486[/C][/ROW]
[ROW][C]42[/C][C]145[/C][C]139.634[/C][C]5.36614[/C][/ROW]
[ROW][C]43[/C][C]162[/C][C]143.208[/C][C]18.7921[/C][/ROW]
[ROW][C]44[/C][C]163[/C][C]141.769[/C][C]21.2315[/C][/ROW]
[ROW][C]45[/C][C]59[/C][C]93.6924[/C][C]-34.6924[/C][/ROW]
[ROW][C]46[/C][C]187[/C][C]154.603[/C][C]32.3971[/C][/ROW]
[ROW][C]47[/C][C]109[/C][C]140.686[/C][C]-31.686[/C][/ROW]
[ROW][C]48[/C][C]90[/C][C]97.1636[/C][C]-7.16356[/C][/ROW]
[ROW][C]49[/C][C]105[/C][C]156.347[/C][C]-51.3465[/C][/ROW]
[ROW][C]50[/C][C]83[/C][C]102.443[/C][C]-19.4431[/C][/ROW]
[ROW][C]51[/C][C]116[/C][C]99.6113[/C][C]16.3887[/C][/ROW]
[ROW][C]52[/C][C]42[/C][C]96.4877[/C][C]-54.4877[/C][/ROW]
[ROW][C]53[/C][C]148[/C][C]136.803[/C][C]11.1971[/C][/ROW]
[ROW][C]54[/C][C]155[/C][C]103.799[/C][C]51.201[/C][/ROW]
[ROW][C]55[/C][C]125[/C][C]142.584[/C][C]-17.5837[/C][/ROW]
[ROW][C]56[/C][C]116[/C][C]144.811[/C][C]-28.8105[/C][/ROW]
[ROW][C]57[/C][C]128[/C][C]104.77[/C][C]23.2304[/C][/ROW]
[ROW][C]58[/C][C]138[/C][C]144.415[/C][C]-6.41463[/C][/ROW]
[ROW][C]59[/C][C]49[/C][C]102.73[/C][C]-53.73[/C][/ROW]
[ROW][C]60[/C][C]96[/C][C]108.272[/C][C]-12.2719[/C][/ROW]
[ROW][C]61[/C][C]164[/C][C]150.794[/C][C]13.2061[/C][/ROW]
[ROW][C]62[/C][C]162[/C][C]153.818[/C][C]8.18249[/C][/ROW]
[ROW][C]63[/C][C]99[/C][C]141.531[/C][C]-42.5312[/C][/ROW]
[ROW][C]64[/C][C]202[/C][C]142.086[/C][C]59.9139[/C][/ROW]
[ROW][C]65[/C][C]186[/C][C]149.933[/C][C]36.0668[/C][/ROW]
[ROW][C]66[/C][C]66[/C][C]95.6425[/C][C]-29.6425[/C][/ROW]
[ROW][C]67[/C][C]183[/C][C]144.491[/C][C]38.5095[/C][/ROW]
[ROW][C]68[/C][C]214[/C][C]137.89[/C][C]76.1101[/C][/ROW]
[ROW][C]69[/C][C]188[/C][C]141.724[/C][C]46.2757[/C][/ROW]
[ROW][C]70[/C][C]104[/C][C]105.349[/C][C]-1.34879[/C][/ROW]
[ROW][C]71[/C][C]177[/C][C]155.686[/C][C]21.3139[/C][/ROW]
[ROW][C]72[/C][C]126[/C][C]152.609[/C][C]-26.6085[/C][/ROW]
[ROW][C]73[/C][C]76[/C][C]112.356[/C][C]-36.3555[/C][/ROW]
[ROW][C]74[/C][C]99[/C][C]100.738[/C][C]-1.73765[/C][/ROW]
[ROW][C]75[/C][C]139[/C][C]151.362[/C][C]-12.3621[/C][/ROW]
[ROW][C]76[/C][C]162[/C][C]159.585[/C][C]2.41469[/C][/ROW]
[ROW][C]77[/C][C]108[/C][C]106.803[/C][C]1.19745[/C][/ROW]
[ROW][C]78[/C][C]159[/C][C]149.731[/C][C]9.26925[/C][/ROW]
[ROW][C]79[/C][C]74[/C][C]102.025[/C][C]-28.0254[/C][/ROW]
[ROW][C]80[/C][C]110[/C][C]146.13[/C][C]-36.1299[/C][/ROW]
[ROW][C]81[/C][C]96[/C][C]112.558[/C][C]-16.558[/C][/ROW]
[ROW][C]82[/C][C]116[/C][C]108.81[/C][C]7.18977[/C][/ROW]
[ROW][C]83[/C][C]87[/C][C]106.291[/C][C]-19.2906[/C][/ROW]
[ROW][C]84[/C][C]97[/C][C]95.8655[/C][C]1.13447[/C][/ROW]
[ROW][C]85[/C][C]127[/C][C]104.517[/C][C]22.483[/C][/ROW]
[ROW][C]86[/C][C]106[/C][C]105.505[/C][C]0.495482[/C][/ROW]
[ROW][C]87[/C][C]80[/C][C]99.181[/C][C]-19.181[/C][/ROW]
[ROW][C]88[/C][C]74[/C][C]106.638[/C][C]-32.6382[/C][/ROW]
[ROW][C]89[/C][C]91[/C][C]110.873[/C][C]-19.8731[/C][/ROW]
[ROW][C]90[/C][C]133[/C][C]104.606[/C][C]28.3935[/C][/ROW]
[ROW][C]91[/C][C]74[/C][C]101.197[/C][C]-27.1967[/C][/ROW]
[ROW][C]92[/C][C]114[/C][C]93.7309[/C][C]20.2691[/C][/ROW]
[ROW][C]93[/C][C]140[/C][C]100.922[/C][C]39.0779[/C][/ROW]
[ROW][C]94[/C][C]95[/C][C]104.808[/C][C]-9.80816[/C][/ROW]
[ROW][C]95[/C][C]98[/C][C]99.1351[/C][C]-1.13506[/C][/ROW]
[ROW][C]96[/C][C]121[/C][C]111.608[/C][C]9.3924[/C][/ROW]
[ROW][C]97[/C][C]126[/C][C]107.967[/C][C]18.0326[/C][/ROW]
[ROW][C]98[/C][C]98[/C][C]102.881[/C][C]-4.88087[/C][/ROW]
[ROW][C]99[/C][C]95[/C][C]102.525[/C][C]-7.52469[/C][/ROW]
[ROW][C]100[/C][C]110[/C][C]97.082[/C][C]12.918[/C][/ROW]
[ROW][C]101[/C][C]70[/C][C]100.427[/C][C]-30.4275[/C][/ROW]
[ROW][C]102[/C][C]102[/C][C]105.392[/C][C]-3.39183[/C][/ROW]
[ROW][C]103[/C][C]86[/C][C]103.962[/C][C]-17.9618[/C][/ROW]
[ROW][C]104[/C][C]130[/C][C]99.7573[/C][C]30.2427[/C][/ROW]
[ROW][C]105[/C][C]96[/C][C]101.93[/C][C]-5.93044[/C][/ROW]
[ROW][C]106[/C][C]102[/C][C]111.422[/C][C]-9.42197[/C][/ROW]
[ROW][C]107[/C][C]100[/C][C]105.565[/C][C]-5.56468[/C][/ROW]
[ROW][C]108[/C][C]94[/C][C]108.477[/C][C]-14.4772[/C][/ROW]
[ROW][C]109[/C][C]52[/C][C]107.729[/C][C]-55.729[/C][/ROW]
[ROW][C]110[/C][C]98[/C][C]105.615[/C][C]-7.61482[/C][/ROW]
[ROW][C]111[/C][C]118[/C][C]110.443[/C][C]7.55723[/C][/ROW]
[ROW][C]112[/C][C]99[/C][C]95.4794[/C][C]3.5206[/C][/ROW]
[ROW][C]113[/C][C]48[/C][C]126.219[/C][C]-78.219[/C][/ROW]
[ROW][C]114[/C][C]50[/C][C]120.858[/C][C]-70.8579[/C][/ROW]
[ROW][C]115[/C][C]150[/C][C]125.054[/C][C]24.9458[/C][/ROW]
[ROW][C]116[/C][C]154[/C][C]124.595[/C][C]29.4049[/C][/ROW]
[ROW][C]117[/C][C]109[/C][C]98.623[/C][C]10.377[/C][/ROW]
[ROW][C]118[/C][C]68[/C][C]81.5519[/C][C]-13.5519[/C][/ROW]
[ROW][C]119[/C][C]194[/C][C]133.41[/C][C]60.5898[/C][/ROW]
[ROW][C]120[/C][C]158[/C][C]130.148[/C][C]27.8519[/C][/ROW]
[ROW][C]121[/C][C]159[/C][C]130.184[/C][C]28.8163[/C][/ROW]
[ROW][C]122[/C][C]67[/C][C]133.008[/C][C]-66.0078[/C][/ROW]
[ROW][C]123[/C][C]147[/C][C]128.425[/C][C]18.5746[/C][/ROW]
[ROW][C]124[/C][C]39[/C][C]128.315[/C][C]-89.3151[/C][/ROW]
[ROW][C]125[/C][C]100[/C][C]119.521[/C][C]-19.5213[/C][/ROW]
[ROW][C]126[/C][C]111[/C][C]122.399[/C][C]-11.3991[/C][/ROW]
[ROW][C]127[/C][C]138[/C][C]128.397[/C][C]9.60333[/C][/ROW]
[ROW][C]128[/C][C]101[/C][C]121.931[/C][C]-20.9306[/C][/ROW]
[ROW][C]129[/C][C]131[/C][C]90.4658[/C][C]40.5342[/C][/ROW]
[ROW][C]130[/C][C]101[/C][C]129.57[/C][C]-28.5701[/C][/ROW]
[ROW][C]131[/C][C]114[/C][C]124.514[/C][C]-10.5135[/C][/ROW]
[ROW][C]132[/C][C]165[/C][C]139.154[/C][C]25.8457[/C][/ROW]
[ROW][C]133[/C][C]114[/C][C]123.718[/C][C]-9.7176[/C][/ROW]
[ROW][C]134[/C][C]111[/C][C]118.226[/C][C]-7.22594[/C][/ROW]
[ROW][C]135[/C][C]75[/C][C]125.758[/C][C]-50.7579[/C][/ROW]
[ROW][C]136[/C][C]82[/C][C]122.709[/C][C]-40.7093[/C][/ROW]
[ROW][C]137[/C][C]121[/C][C]122.645[/C][C]-1.64491[/C][/ROW]
[ROW][C]138[/C][C]32[/C][C]131.733[/C][C]-99.7327[/C][/ROW]
[ROW][C]139[/C][C]150[/C][C]135.818[/C][C]14.1817[/C][/ROW]
[ROW][C]140[/C][C]117[/C][C]128.28[/C][C]-11.2795[/C][/ROW]
[ROW][C]141[/C][C]71[/C][C]82.5023[/C][C]-11.5023[/C][/ROW]
[ROW][C]142[/C][C]165[/C][C]121.205[/C][C]43.7945[/C][/ROW]
[ROW][C]143[/C][C]154[/C][C]121.923[/C][C]32.0765[/C][/ROW]
[ROW][C]144[/C][C]126[/C][C]124.78[/C][C]1.22045[/C][/ROW]
[ROW][C]145[/C][C]149[/C][C]133.641[/C][C]15.3594[/C][/ROW]
[ROW][C]146[/C][C]145[/C][C]139.623[/C][C]5.37719[/C][/ROW]
[ROW][C]147[/C][C]120[/C][C]119.81[/C][C]0.189506[/C][/ROW]
[ROW][C]148[/C][C]109[/C][C]134.765[/C][C]-25.7649[/C][/ROW]
[ROW][C]149[/C][C]132[/C][C]131.171[/C][C]0.829362[/C][/ROW]
[ROW][C]150[/C][C]172[/C][C]125.996[/C][C]46.004[/C][/ROW]
[ROW][C]151[/C][C]169[/C][C]134.572[/C][C]34.4281[/C][/ROW]
[ROW][C]152[/C][C]114[/C][C]136.257[/C][C]-22.2572[/C][/ROW]
[ROW][C]153[/C][C]156[/C][C]130.102[/C][C]25.8979[/C][/ROW]
[ROW][C]154[/C][C]172[/C][C]133.95[/C][C]38.0503[/C][/ROW]
[ROW][C]155[/C][C]68[/C][C]88.4127[/C][C]-20.4127[/C][/ROW]
[ROW][C]156[/C][C]89[/C][C]84.0963[/C][C]4.90371[/C][/ROW]
[ROW][C]157[/C][C]167[/C][C]129.956[/C][C]37.0438[/C][/ROW]
[ROW][C]158[/C][C]113[/C][C]135.389[/C][C]-22.3891[/C][/ROW]
[ROW][C]159[/C][C]115[/C][C]97.102[/C][C]17.898[/C][/ROW]
[ROW][C]160[/C][C]78[/C][C]92.5992[/C][C]-14.5992[/C][/ROW]
[ROW][C]161[/C][C]118[/C][C]97.1836[/C][C]20.8164[/C][/ROW]
[ROW][C]162[/C][C]87[/C][C]82.4121[/C][C]4.58787[/C][/ROW]
[ROW][C]163[/C][C]173[/C][C]136.9[/C][C]36.1004[/C][/ROW]
[ROW][C]164[/C][C]2[/C][C]126.923[/C][C]-124.923[/C][/ROW]
[ROW][C]165[/C][C]162[/C][C]97.5398[/C][C]64.4602[/C][/ROW]
[ROW][C]166[/C][C]49[/C][C]80.4792[/C][C]-31.4792[/C][/ROW]
[ROW][C]167[/C][C]122[/C][C]99.0522[/C][C]22.9478[/C][/ROW]
[ROW][C]168[/C][C]96[/C][C]86.6256[/C][C]9.37435[/C][/ROW]
[ROW][C]169[/C][C]100[/C][C]92.7923[/C][C]7.20773[/C][/ROW]
[ROW][C]170[/C][C]82[/C][C]88.0852[/C][C]-6.08524[/C][/ROW]
[ROW][C]171[/C][C]100[/C][C]89.496[/C][C]10.504[/C][/ROW]
[ROW][C]172[/C][C]115[/C][C]96.0618[/C][C]18.9382[/C][/ROW]
[ROW][C]173[/C][C]141[/C][C]100.023[/C][C]40.9768[/C][/ROW]
[ROW][C]174[/C][C]165[/C][C]126.301[/C][C]38.6994[/C][/ROW]
[ROW][C]175[/C][C]165[/C][C]126.301[/C][C]38.6994[/C][/ROW]
[ROW][C]176[/C][C]110[/C][C]81.0928[/C][C]28.9072[/C][/ROW]
[ROW][C]177[/C][C]118[/C][C]124.475[/C][C]-6.47499[/C][/ROW]
[ROW][C]178[/C][C]158[/C][C]135.04[/C][C]22.9596[/C][/ROW]
[ROW][C]179[/C][C]146[/C][C]89.7694[/C][C]56.2306[/C][/ROW]
[ROW][C]180[/C][C]49[/C][C]130.517[/C][C]-81.517[/C][/ROW]
[ROW][C]181[/C][C]90[/C][C]96.5688[/C][C]-6.56884[/C][/ROW]
[ROW][C]182[/C][C]121[/C][C]95.1199[/C][C]25.8801[/C][/ROW]
[ROW][C]183[/C][C]155[/C][C]134.959[/C][C]20.0408[/C][/ROW]
[ROW][C]184[/C][C]104[/C][C]98.858[/C][C]5.14202[/C][/ROW]
[ROW][C]185[/C][C]147[/C][C]90.044[/C][C]56.956[/C][/ROW]
[ROW][C]186[/C][C]110[/C][C]100.409[/C][C]9.59105[/C][/ROW]
[ROW][C]187[/C][C]108[/C][C]100.409[/C][C]7.59105[/C][/ROW]
[ROW][C]188[/C][C]113[/C][C]100.409[/C][C]12.5911[/C][/ROW]
[ROW][C]189[/C][C]115[/C][C]98.5403[/C][C]16.4597[/C][/ROW]
[ROW][C]190[/C][C]61[/C][C]95.9372[/C][C]-34.9372[/C][/ROW]
[ROW][C]191[/C][C]60[/C][C]87.9749[/C][C]-27.9749[/C][/ROW]
[ROW][C]192[/C][C]109[/C][C]75.436[/C][C]33.564[/C][/ROW]
[ROW][C]193[/C][C]68[/C][C]78.1803[/C][C]-10.1803[/C][/ROW]
[ROW][C]194[/C][C]111[/C][C]88.7513[/C][C]22.2487[/C][/ROW]
[ROW][C]195[/C][C]77[/C][C]90.1229[/C][C]-13.1229[/C][/ROW]
[ROW][C]196[/C][C]73[/C][C]91.3646[/C][C]-18.3646[/C][/ROW]
[ROW][C]197[/C][C]151[/C][C]141.759[/C][C]9.24142[/C][/ROW]
[ROW][C]198[/C][C]89[/C][C]85.6968[/C][C]3.30316[/C][/ROW]
[ROW][C]199[/C][C]78[/C][C]87.6549[/C][C]-9.65494[/C][/ROW]
[ROW][C]200[/C][C]110[/C][C]91.3548[/C][C]18.6452[/C][/ROW]
[ROW][C]201[/C][C]220[/C][C]130.184[/C][C]89.8163[/C][/ROW]
[ROW][C]202[/C][C]65[/C][C]88.7816[/C][C]-23.7816[/C][/ROW]
[ROW][C]203[/C][C]141[/C][C]128.159[/C][C]12.8406[/C][/ROW]
[ROW][C]204[/C][C]117[/C][C]95.2015[/C][C]21.7985[/C][/ROW]
[ROW][C]205[/C][C]122[/C][C]125.586[/C][C]-3.58621[/C][/ROW]
[ROW][C]206[/C][C]63[/C][C]91.7839[/C][C]-28.7839[/C][/ROW]
[ROW][C]207[/C][C]44[/C][C]121.167[/C][C]-77.1669[/C][/ROW]
[ROW][C]208[/C][C]52[/C][C]84.6669[/C][C]-32.6669[/C][/ROW]
[ROW][C]209[/C][C]131[/C][C]81.5735[/C][C]49.4265[/C][/ROW]
[ROW][C]210[/C][C]101[/C][C]83.6951[/C][C]17.3049[/C][/ROW]
[ROW][C]211[/C][C]42[/C][C]91.6822[/C][C]-49.6822[/C][/ROW]
[ROW][C]212[/C][C]152[/C][C]126.648[/C][C]25.3518[/C][/ROW]
[ROW][C]213[/C][C]107[/C][C]128.946[/C][C]-21.9455[/C][/ROW]
[ROW][C]214[/C][C]77[/C][C]89.9969[/C][C]-12.9969[/C][/ROW]
[ROW][C]215[/C][C]154[/C][C]139.311[/C][C]14.6892[/C][/ROW]
[ROW][C]216[/C][C]103[/C][C]124.891[/C][C]-21.8907[/C][/ROW]
[ROW][C]217[/C][C]96[/C][C]86.9646[/C][C]9.0354[/C][/ROW]
[ROW][C]218[/C][C]175[/C][C]126.078[/C][C]48.9224[/C][/ROW]
[ROW][C]219[/C][C]57[/C][C]90.9343[/C][C]-33.9343[/C][/ROW]
[ROW][C]220[/C][C]112[/C][C]101.105[/C][C]10.8947[/C][/ROW]
[ROW][C]221[/C][C]143[/C][C]129.946[/C][C]13.0536[/C][/ROW]
[ROW][C]222[/C][C]49[/C][C]83.0133[/C][C]-34.0133[/C][/ROW]
[ROW][C]223[/C][C]110[/C][C]133.449[/C][C]-23.4487[/C][/ROW]
[ROW][C]224[/C][C]131[/C][C]123.741[/C][C]7.25924[/C][/ROW]
[ROW][C]225[/C][C]167[/C][C]127.218[/C][C]39.7825[/C][/ROW]
[ROW][C]226[/C][C]56[/C][C]97.7673[/C][C]-41.7673[/C][/ROW]
[ROW][C]227[/C][C]137[/C][C]127.565[/C][C]9.43487[/C][/ROW]
[ROW][C]228[/C][C]86[/C][C]84.0963[/C][C]1.90371[/C][/ROW]
[ROW][C]229[/C][C]121[/C][C]132.327[/C][C]-11.3269[/C][/ROW]
[ROW][C]230[/C][C]149[/C][C]134.49[/C][C]14.5097[/C][/ROW]
[ROW][C]231[/C][C]168[/C][C]131.214[/C][C]36.7863[/C][/ROW]
[ROW][C]232[/C][C]140[/C][C]128.627[/C][C]11.3729[/C][/ROW]
[ROW][C]233[/C][C]88[/C][C]84.4009[/C][C]3.59915[/C][/ROW]
[ROW][C]234[/C][C]168[/C][C]125.668[/C][C]42.3322[/C][/ROW]
[ROW][C]235[/C][C]94[/C][C]123.792[/C][C]-29.7921[/C][/ROW]
[ROW][C]236[/C][C]51[/C][C]130.184[/C][C]-79.1837[/C][/ROW]
[ROW][C]237[/C][C]48[/C][C]95.358[/C][C]-47.358[/C][/ROW]
[ROW][C]238[/C][C]145[/C][C]123.147[/C][C]21.853[/C][/ROW]
[ROW][C]239[/C][C]66[/C][C]121.923[/C][C]-55.9235[/C][/ROW]
[ROW][C]240[/C][C]85[/C][C]86.6544[/C][C]-1.65441[/C][/ROW]
[ROW][C]241[/C][C]109[/C][C]133.988[/C][C]-24.9882[/C][/ROW]
[ROW][C]242[/C][C]63[/C][C]91.3106[/C][C]-28.3106[/C][/ROW]
[ROW][C]243[/C][C]102[/C][C]86.69[/C][C]15.31[/C][/ROW]
[ROW][C]244[/C][C]162[/C][C]97.5398[/C][C]64.4602[/C][/ROW]
[ROW][C]245[/C][C]86[/C][C]87.8934[/C][C]-1.89336[/C][/ROW]
[ROW][C]246[/C][C]114[/C][C]84.3193[/C][C]29.6807[/C][/ROW]
[ROW][C]247[/C][C]164[/C][C]132.622[/C][C]31.3783[/C][/ROW]
[ROW][C]248[/C][C]119[/C][C]132.868[/C][C]-13.8676[/C][/ROW]
[ROW][C]249[/C][C]126[/C][C]133.988[/C][C]-7.9882[/C][/ROW]
[ROW][C]250[/C][C]132[/C][C]121.39[/C][C]10.6101[/C][/ROW]
[ROW][C]251[/C][C]142[/C][C]130.222[/C][C]11.7778[/C][/ROW]
[ROW][C]252[/C][C]83[/C][C]137.836[/C][C]-54.8358[/C][/ROW]
[ROW][C]253[/C][C]94[/C][C]88.211[/C][C]5.78899[/C][/ROW]
[ROW][C]254[/C][C]81[/C][C]92.4885[/C][C]-11.4885[/C][/ROW]
[ROW][C]255[/C][C]166[/C][C]129.875[/C][C]36.1254[/C][/ROW]
[ROW][C]256[/C][C]110[/C][C]95.6626[/C][C]14.3374[/C][/ROW]
[ROW][C]257[/C][C]64[/C][C]85.3284[/C][C]-21.3284[/C][/ROW]
[ROW][C]258[/C][C]93[/C][C]140.675[/C][C]-47.6753[/C][/ROW]
[ROW][C]259[/C][C]104[/C][C]92.243[/C][C]11.757[/C][/ROW]
[ROW][C]260[/C][C]105[/C][C]80.1518[/C][C]24.8482[/C][/ROW]
[ROW][C]261[/C][C]49[/C][C]80.4792[/C][C]-31.4792[/C][/ROW]
[ROW][C]262[/C][C]88[/C][C]97.5312[/C][C]-9.53119[/C][/ROW]
[ROW][C]263[/C][C]95[/C][C]87.359[/C][C]7.641[/C][/ROW]
[ROW][C]264[/C][C]102[/C][C]86.69[/C][C]15.31[/C][/ROW]
[ROW][C]265[/C][C]99[/C][C]90.7306[/C][C]8.26944[/C][/ROW]
[ROW][C]266[/C][C]63[/C][C]80.6423[/C][C]-17.6423[/C][/ROW]
[ROW][C]267[/C][C]76[/C][C]99.7847[/C][C]-23.7847[/C][/ROW]
[ROW][C]268[/C][C]109[/C][C]87.0174[/C][C]21.9826[/C][/ROW]
[ROW][C]269[/C][C]117[/C][C]92.4553[/C][C]24.5447[/C][/ROW]
[ROW][C]270[/C][C]57[/C][C]92.2228[/C][C]-35.2228[/C][/ROW]
[ROW][C]271[/C][C]120[/C][C]94.7338[/C][C]25.2662[/C][/ROW]
[ROW][C]272[/C][C]73[/C][C]84.1348[/C][C]-11.1348[/C][/ROW]
[ROW][C]273[/C][C]91[/C][C]81.9596[/C][C]9.04039[/C][/ROW]
[ROW][C]274[/C][C]108[/C][C]95.3965[/C][C]12.6035[/C][/ROW]
[ROW][C]275[/C][C]105[/C][C]85.7576[/C][C]19.2424[/C][/ROW]
[ROW][C]276[/C][C]117[/C][C]139.001[/C][C]-22.0006[/C][/ROW]
[ROW][C]277[/C][C]119[/C][C]97.7673[/C][C]21.2327[/C][/ROW]
[ROW][C]278[/C][C]31[/C][C]98.4001[/C][C]-67.4001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271894&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271894&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
1149156.264-7.26416
2139142.903-3.90339
3148147.3210.678501
4158147.98810.0121
5128147.607-19.6067
6224147.10876.8921
7159153.3565.64355
8105145.597-40.5967
9159151.2967.70404
10167149.59117.4087
11165152.11212.8879
12159139.47819.5218
13119142.043-23.0431
14176151.68224.3183
1554156.805-102.805
1691113.016-22.016
17163143.52619.4744
18124151.557-27.5571
19137104.26832.7324
20121144.757-23.7566
21153143.0149.98628
22148143.4744.52603
23221150.50970.4906
24188137.80850.1917
25149149.547-0.547456
26244134.509109.491
27148109.79338.207
2892109.047-17.0475
29150139.910.1001
30153143.9029.09808
3194144.593-50.5934
32156149.9336.06677
33132147.404-15.4042
34161143.48117.5186
35105144.015-39.0146
3697138.387-41.3875
37151145.25.79975
3813199.721731.2783
39166145.31320.6874
40157152.4174.5834
41111143.749-32.7486
42145139.6345.36614
43162143.20818.7921
44163141.76921.2315
455993.6924-34.6924
46187154.60332.3971
47109140.686-31.686
489097.1636-7.16356
49105156.347-51.3465
5083102.443-19.4431
5111699.611316.3887
524296.4877-54.4877
53148136.80311.1971
54155103.79951.201
55125142.584-17.5837
56116144.811-28.8105
57128104.7723.2304
58138144.415-6.41463
5949102.73-53.73
6096108.272-12.2719
61164150.79413.2061
62162153.8188.18249
6399141.531-42.5312
64202142.08659.9139
65186149.93336.0668
666695.6425-29.6425
67183144.49138.5095
68214137.8976.1101
69188141.72446.2757
70104105.349-1.34879
71177155.68621.3139
72126152.609-26.6085
7376112.356-36.3555
7499100.738-1.73765
75139151.362-12.3621
76162159.5852.41469
77108106.8031.19745
78159149.7319.26925
7974102.025-28.0254
80110146.13-36.1299
8196112.558-16.558
82116108.817.18977
8387106.291-19.2906
849795.86551.13447
85127104.51722.483
86106105.5050.495482
878099.181-19.181
8874106.638-32.6382
8991110.873-19.8731
90133104.60628.3935
9174101.197-27.1967
9211493.730920.2691
93140100.92239.0779
9495104.808-9.80816
959899.1351-1.13506
96121111.6089.3924
97126107.96718.0326
9898102.881-4.88087
9995102.525-7.52469
10011097.08212.918
10170100.427-30.4275
102102105.392-3.39183
10386103.962-17.9618
10413099.757330.2427
10596101.93-5.93044
106102111.422-9.42197
107100105.565-5.56468
10894108.477-14.4772
10952107.729-55.729
11098105.615-7.61482
111118110.4437.55723
1129995.47943.5206
11348126.219-78.219
11450120.858-70.8579
115150125.05424.9458
116154124.59529.4049
11710998.62310.377
1186881.5519-13.5519
119194133.4160.5898
120158130.14827.8519
121159130.18428.8163
12267133.008-66.0078
123147128.42518.5746
12439128.315-89.3151
125100119.521-19.5213
126111122.399-11.3991
127138128.3979.60333
128101121.931-20.9306
12913190.465840.5342
130101129.57-28.5701
131114124.514-10.5135
132165139.15425.8457
133114123.718-9.7176
134111118.226-7.22594
13575125.758-50.7579
13682122.709-40.7093
137121122.645-1.64491
13832131.733-99.7327
139150135.81814.1817
140117128.28-11.2795
1417182.5023-11.5023
142165121.20543.7945
143154121.92332.0765
144126124.781.22045
145149133.64115.3594
146145139.6235.37719
147120119.810.189506
148109134.765-25.7649
149132131.1710.829362
150172125.99646.004
151169134.57234.4281
152114136.257-22.2572
153156130.10225.8979
154172133.9538.0503
1556888.4127-20.4127
1568984.09634.90371
157167129.95637.0438
158113135.389-22.3891
15911597.10217.898
1607892.5992-14.5992
16111897.183620.8164
1628782.41214.58787
163173136.936.1004
1642126.923-124.923
16516297.539864.4602
1664980.4792-31.4792
16712299.052222.9478
1689686.62569.37435
16910092.79237.20773
1708288.0852-6.08524
17110089.49610.504
17211596.061818.9382
173141100.02340.9768
174165126.30138.6994
175165126.30138.6994
17611081.092828.9072
177118124.475-6.47499
178158135.0422.9596
17914689.769456.2306
18049130.517-81.517
1819096.5688-6.56884
18212195.119925.8801
183155134.95920.0408
18410498.8585.14202
18514790.04456.956
186110100.4099.59105
187108100.4097.59105
188113100.40912.5911
18911598.540316.4597
1906195.9372-34.9372
1916087.9749-27.9749
19210975.43633.564
1936878.1803-10.1803
19411188.751322.2487
1957790.1229-13.1229
1967391.3646-18.3646
197151141.7599.24142
1988985.69683.30316
1997887.6549-9.65494
20011091.354818.6452
201220130.18489.8163
2026588.7816-23.7816
203141128.15912.8406
20411795.201521.7985
205122125.586-3.58621
2066391.7839-28.7839
20744121.167-77.1669
2085284.6669-32.6669
20913181.573549.4265
21010183.695117.3049
2114291.6822-49.6822
212152126.64825.3518
213107128.946-21.9455
2147789.9969-12.9969
215154139.31114.6892
216103124.891-21.8907
2179686.96469.0354
218175126.07848.9224
2195790.9343-33.9343
220112101.10510.8947
221143129.94613.0536
2224983.0133-34.0133
223110133.449-23.4487
224131123.7417.25924
225167127.21839.7825
2265697.7673-41.7673
227137127.5659.43487
2288684.09631.90371
229121132.327-11.3269
230149134.4914.5097
231168131.21436.7863
232140128.62711.3729
2338884.40093.59915
234168125.66842.3322
23594123.792-29.7921
23651130.184-79.1837
2374895.358-47.358
238145123.14721.853
23966121.923-55.9235
2408586.6544-1.65441
241109133.988-24.9882
2426391.3106-28.3106
24310286.6915.31
24416297.539864.4602
2458687.8934-1.89336
24611484.319329.6807
247164132.62231.3783
248119132.868-13.8676
249126133.988-7.9882
250132121.3910.6101
251142130.22211.7778
25283137.836-54.8358
2539488.2115.78899
2548192.4885-11.4885
255166129.87536.1254
25611095.662614.3374
2576485.3284-21.3284
25893140.675-47.6753
25910492.24311.757
26010580.151824.8482
2614980.4792-31.4792
2628897.5312-9.53119
2639587.3597.641
26410286.6915.31
2659990.73068.26944
2666380.6423-17.6423
2677699.7847-23.7847
26810987.017421.9826
26911792.455324.5447
2705792.2228-35.2228
27112094.733825.2662
2727384.1348-11.1348
2739181.95969.04039
27410895.396512.6035
27510585.757619.2424
276117139.001-22.0006
27711997.767321.2327
2783198.4001-67.4001






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.2234110.4468210.776589
130.1141590.2283180.885841
140.05076070.1015210.949239
150.922310.155380.0776902
160.8763960.2472080.123604
170.8356950.328610.164305
180.7874260.4251480.212574
190.777860.444280.22214
200.7688040.4623920.231196
210.7411360.5177270.258864
220.6723480.6553040.327652
230.8719830.2560340.128017
240.850610.298780.14939
250.8331060.3337880.166894
260.841660.316680.15834
270.8568390.2863220.143161
280.8266470.3467060.173353
290.7910070.4179860.208993
300.7426780.5146430.257322
310.8893220.2213550.110678
320.8822870.2354270.117713
330.8620670.2758660.137933
340.8305450.338910.169455
350.8821880.2356240.117812
360.9116920.1766160.088308
370.8927010.2145970.107299
380.8696930.2606150.130307
390.8481780.3036440.151822
400.8396280.3207440.160372
410.8448870.3102260.155113
420.8121550.3756890.187845
430.7834730.4330540.216527
440.7535430.4929130.246457
450.8401180.3197650.159882
460.8699840.2600320.130016
470.8884520.2230960.111548
480.866770.2664610.13323
490.8892680.2214640.110732
500.8757990.2484020.124201
510.8542140.2915720.145786
520.8944540.2110930.105546
530.8730650.2538710.126935
540.9031840.1936320.096816
550.8925660.2148690.107434
560.8834050.2331910.116595
570.8775380.2449250.122462
580.8606610.2786780.139339
590.8909860.2180280.109014
600.8710510.2578980.128949
610.8510510.2978980.148949
620.8324510.3350980.167549
630.8327310.3345370.167269
640.865750.2684990.13425
650.8769280.2461430.123072
660.8740290.2519430.125971
670.883680.2326410.11632
680.9304970.1390060.0695032
690.9400060.1199890.0599944
700.9293540.1412910.0706455
710.9263630.1472730.0736365
720.918670.1626590.0813296
730.9115550.1768890.0884446
740.8945480.2109030.105452
750.8765750.246850.123425
760.8560960.2878080.143904
770.8331240.3337530.166876
780.8122130.3755740.187787
790.7921810.4156380.207819
800.7926480.4147040.207352
810.7660130.4679740.233987
820.7424850.5150310.257515
830.71420.5716010.2858
840.6809670.6380660.319033
850.6771280.6457430.322872
860.6428330.7143340.357167
870.6222330.7555340.377767
880.6054540.7890930.394546
890.5737330.8525350.426267
900.5880180.8239640.411982
910.5697850.8604290.430215
920.5488060.9023870.451194
930.5663460.8673080.433654
940.530990.9380190.46901
950.4947840.9895670.505216
960.4674930.9349860.532507
970.4471950.894390.552805
980.4107320.8214650.589268
990.3763480.7526960.623652
1000.3497860.6995730.650214
1010.3425970.6851930.657403
1020.3098590.6197170.690141
1030.2899750.5799490.710025
1040.2916770.5833530.708323
1050.2641850.528370.735815
1060.2352920.4705840.764708
1070.20860.41720.7914
1080.1840350.3680690.815965
1090.2149040.4298080.785096
1100.1909910.3819820.809009
1110.1719160.3438330.828084
1120.1498330.2996660.850167
1130.1722470.3444940.827753
1140.1910750.382150.808925
1150.2753140.5506290.724686
1160.3190250.6380510.680975
1170.3345560.6691130.665444
1180.3036680.6073360.696332
1190.3924730.7849470.607527
1200.3940180.7880350.605982
1210.3842010.7684010.615799
1220.4823810.9647620.517619
1230.460770.921540.53923
1240.6635790.6728430.336421
1250.637810.724380.36219
1260.6055290.7889430.394471
1270.578740.8425190.42126
1280.5518880.8962250.448112
1290.5867830.8264340.413217
1300.5714030.8571940.428597
1310.5383490.9233010.461651
1320.5332330.9335340.466767
1330.4992860.9985730.500714
1340.4658120.9316240.534188
1350.5006160.9987670.499384
1360.5079820.9840360.492018
1370.475190.9503810.52481
1380.7093370.5813260.290663
1390.6917520.6164960.308248
1400.6616370.6767260.338363
1410.6338370.7323260.366163
1420.6670020.6659960.332998
1430.6735660.6528670.326434
1440.6420090.7159820.357991
1450.6227390.7545210.377261
1460.592810.814380.40719
1470.5595120.8809760.440488
1480.5464460.9071080.453554
1490.5141760.9716490.485824
1500.5520920.8958160.447908
1510.5616980.8766050.438302
1520.5393980.9212040.460602
1530.5321910.9356170.467809
1540.5496290.9007420.450371
1550.5263120.9473770.473688
1560.4932490.9864980.506751
1570.5064430.9871150.493557
1580.4861190.9722380.513881
1590.4649260.9298510.535074
1600.4446590.8893180.555341
1610.4248430.8496860.575157
1620.3919160.7838320.608084
1630.3983640.7967290.601636
1640.8258640.3482720.174136
1650.875120.2497610.12488
1660.8773520.2452970.122648
1670.866790.2664210.13321
1680.8481930.3036140.151807
1690.8268220.3463560.173178
1700.8061590.3876810.193841
1710.781970.4360610.21803
1720.7638550.472290.236145
1730.7777040.4445920.222296
1740.7834980.4330050.216502
1750.7910160.4179670.208984
1760.7873450.425310.212655
1770.760270.479460.23973
1780.7514260.4971480.248574
1790.8122850.375430.187715
1800.9251370.1497260.0748631
1810.9115930.1768140.088407
1820.9047790.1904430.0952213
1830.8940970.2118070.105903
1840.878590.242820.12141
1850.9234930.1530150.0765073
1860.9136090.1727810.0863905
1870.9025720.1948560.0974281
1880.8946440.2107130.105356
1890.8865680.2268640.113432
1900.8814760.2370480.118524
1910.8754510.2490990.124549
1920.8681110.2637770.131889
1930.8481440.3037120.151856
1940.8382470.3235070.161753
1950.8311970.3376060.168803
1960.8117010.3765970.188299
1970.7846690.4306620.215331
1980.7545890.4908220.245411
1990.7254090.5491830.274591
2000.6965150.606970.303485
2010.9232060.1535870.0767936
2020.916930.1661410.0830703
2030.9009990.1980020.0990008
2040.8999650.200070.100035
2050.8805920.2388150.119408
2060.870790.258420.12921
2070.9373610.1252790.0626395
2080.9384970.1230050.0615027
2090.9458410.1083180.0541588
2100.9342810.1314390.0657195
2110.9435690.1128630.0564314
2120.9400970.1198060.059903
2130.9300280.1399440.0699721
2140.9161470.1677050.0838525
2150.9061260.1877480.0938739
2160.8899110.2201780.110089
2170.8682740.2634510.131726
2180.9148280.1703450.0851723
2190.9046080.1907840.0953922
2200.8885470.2229070.111453
2210.8667320.2665360.133268
2220.9329310.1341370.0670687
2230.9235480.1529040.0764518
2240.9180740.1638520.0819261
2250.9051820.1896370.0948185
2260.9138670.1722660.0861332
2270.8948460.2103080.105154
2280.871730.2565390.12827
2290.8463340.3073320.153666
2300.8208130.3583730.179187
2310.8921130.2157730.107887
2320.8733210.2533580.126679
2330.8443880.3112240.155612
2340.8875850.2248310.112415
2350.8648110.2703770.135189
2360.9285680.1428640.0714321
2370.9536670.09266510.0463326
2380.9480930.1038130.0519066
2390.9565220.08695590.043478
2400.942310.1153810.0576904
2410.9363440.1273110.0636556
2420.9359640.1280720.0640358
2430.9175490.1649020.0824511
2440.9808270.03834510.0191726
2450.9775740.04485260.0224263
2460.9694970.06100540.0305027
2470.9658510.06829810.0341491
2480.9507360.09852820.0492641
2490.9298270.1403460.0701729
2500.9031990.1936020.0968011
2510.8803070.2393860.119693
2520.8858460.2283070.114154
2530.844760.310480.15524
2540.7967520.4064970.203248
2550.936740.126520.06326
2560.9048690.1902630.0951315
2570.8792570.2414850.120743
2580.8294860.3410270.170514
2590.7605730.4788540.239427
2600.6823550.6352890.317645
2610.6730010.6539990.326999
2620.6160880.7678240.383912
2630.642220.715560.35778
2640.5182150.963570.481785
2650.3787960.7575920.621204
2660.4156710.8313430.584329

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
12 & 0.223411 & 0.446821 & 0.776589 \tabularnewline
13 & 0.114159 & 0.228318 & 0.885841 \tabularnewline
14 & 0.0507607 & 0.101521 & 0.949239 \tabularnewline
15 & 0.92231 & 0.15538 & 0.0776902 \tabularnewline
16 & 0.876396 & 0.247208 & 0.123604 \tabularnewline
17 & 0.835695 & 0.32861 & 0.164305 \tabularnewline
18 & 0.787426 & 0.425148 & 0.212574 \tabularnewline
19 & 0.77786 & 0.44428 & 0.22214 \tabularnewline
20 & 0.768804 & 0.462392 & 0.231196 \tabularnewline
21 & 0.741136 & 0.517727 & 0.258864 \tabularnewline
22 & 0.672348 & 0.655304 & 0.327652 \tabularnewline
23 & 0.871983 & 0.256034 & 0.128017 \tabularnewline
24 & 0.85061 & 0.29878 & 0.14939 \tabularnewline
25 & 0.833106 & 0.333788 & 0.166894 \tabularnewline
26 & 0.84166 & 0.31668 & 0.15834 \tabularnewline
27 & 0.856839 & 0.286322 & 0.143161 \tabularnewline
28 & 0.826647 & 0.346706 & 0.173353 \tabularnewline
29 & 0.791007 & 0.417986 & 0.208993 \tabularnewline
30 & 0.742678 & 0.514643 & 0.257322 \tabularnewline
31 & 0.889322 & 0.221355 & 0.110678 \tabularnewline
32 & 0.882287 & 0.235427 & 0.117713 \tabularnewline
33 & 0.862067 & 0.275866 & 0.137933 \tabularnewline
34 & 0.830545 & 0.33891 & 0.169455 \tabularnewline
35 & 0.882188 & 0.235624 & 0.117812 \tabularnewline
36 & 0.911692 & 0.176616 & 0.088308 \tabularnewline
37 & 0.892701 & 0.214597 & 0.107299 \tabularnewline
38 & 0.869693 & 0.260615 & 0.130307 \tabularnewline
39 & 0.848178 & 0.303644 & 0.151822 \tabularnewline
40 & 0.839628 & 0.320744 & 0.160372 \tabularnewline
41 & 0.844887 & 0.310226 & 0.155113 \tabularnewline
42 & 0.812155 & 0.375689 & 0.187845 \tabularnewline
43 & 0.783473 & 0.433054 & 0.216527 \tabularnewline
44 & 0.753543 & 0.492913 & 0.246457 \tabularnewline
45 & 0.840118 & 0.319765 & 0.159882 \tabularnewline
46 & 0.869984 & 0.260032 & 0.130016 \tabularnewline
47 & 0.888452 & 0.223096 & 0.111548 \tabularnewline
48 & 0.86677 & 0.266461 & 0.13323 \tabularnewline
49 & 0.889268 & 0.221464 & 0.110732 \tabularnewline
50 & 0.875799 & 0.248402 & 0.124201 \tabularnewline
51 & 0.854214 & 0.291572 & 0.145786 \tabularnewline
52 & 0.894454 & 0.211093 & 0.105546 \tabularnewline
53 & 0.873065 & 0.253871 & 0.126935 \tabularnewline
54 & 0.903184 & 0.193632 & 0.096816 \tabularnewline
55 & 0.892566 & 0.214869 & 0.107434 \tabularnewline
56 & 0.883405 & 0.233191 & 0.116595 \tabularnewline
57 & 0.877538 & 0.244925 & 0.122462 \tabularnewline
58 & 0.860661 & 0.278678 & 0.139339 \tabularnewline
59 & 0.890986 & 0.218028 & 0.109014 \tabularnewline
60 & 0.871051 & 0.257898 & 0.128949 \tabularnewline
61 & 0.851051 & 0.297898 & 0.148949 \tabularnewline
62 & 0.832451 & 0.335098 & 0.167549 \tabularnewline
63 & 0.832731 & 0.334537 & 0.167269 \tabularnewline
64 & 0.86575 & 0.268499 & 0.13425 \tabularnewline
65 & 0.876928 & 0.246143 & 0.123072 \tabularnewline
66 & 0.874029 & 0.251943 & 0.125971 \tabularnewline
67 & 0.88368 & 0.232641 & 0.11632 \tabularnewline
68 & 0.930497 & 0.139006 & 0.0695032 \tabularnewline
69 & 0.940006 & 0.119989 & 0.0599944 \tabularnewline
70 & 0.929354 & 0.141291 & 0.0706455 \tabularnewline
71 & 0.926363 & 0.147273 & 0.0736365 \tabularnewline
72 & 0.91867 & 0.162659 & 0.0813296 \tabularnewline
73 & 0.911555 & 0.176889 & 0.0884446 \tabularnewline
74 & 0.894548 & 0.210903 & 0.105452 \tabularnewline
75 & 0.876575 & 0.24685 & 0.123425 \tabularnewline
76 & 0.856096 & 0.287808 & 0.143904 \tabularnewline
77 & 0.833124 & 0.333753 & 0.166876 \tabularnewline
78 & 0.812213 & 0.375574 & 0.187787 \tabularnewline
79 & 0.792181 & 0.415638 & 0.207819 \tabularnewline
80 & 0.792648 & 0.414704 & 0.207352 \tabularnewline
81 & 0.766013 & 0.467974 & 0.233987 \tabularnewline
82 & 0.742485 & 0.515031 & 0.257515 \tabularnewline
83 & 0.7142 & 0.571601 & 0.2858 \tabularnewline
84 & 0.680967 & 0.638066 & 0.319033 \tabularnewline
85 & 0.677128 & 0.645743 & 0.322872 \tabularnewline
86 & 0.642833 & 0.714334 & 0.357167 \tabularnewline
87 & 0.622233 & 0.755534 & 0.377767 \tabularnewline
88 & 0.605454 & 0.789093 & 0.394546 \tabularnewline
89 & 0.573733 & 0.852535 & 0.426267 \tabularnewline
90 & 0.588018 & 0.823964 & 0.411982 \tabularnewline
91 & 0.569785 & 0.860429 & 0.430215 \tabularnewline
92 & 0.548806 & 0.902387 & 0.451194 \tabularnewline
93 & 0.566346 & 0.867308 & 0.433654 \tabularnewline
94 & 0.53099 & 0.938019 & 0.46901 \tabularnewline
95 & 0.494784 & 0.989567 & 0.505216 \tabularnewline
96 & 0.467493 & 0.934986 & 0.532507 \tabularnewline
97 & 0.447195 & 0.89439 & 0.552805 \tabularnewline
98 & 0.410732 & 0.821465 & 0.589268 \tabularnewline
99 & 0.376348 & 0.752696 & 0.623652 \tabularnewline
100 & 0.349786 & 0.699573 & 0.650214 \tabularnewline
101 & 0.342597 & 0.685193 & 0.657403 \tabularnewline
102 & 0.309859 & 0.619717 & 0.690141 \tabularnewline
103 & 0.289975 & 0.579949 & 0.710025 \tabularnewline
104 & 0.291677 & 0.583353 & 0.708323 \tabularnewline
105 & 0.264185 & 0.52837 & 0.735815 \tabularnewline
106 & 0.235292 & 0.470584 & 0.764708 \tabularnewline
107 & 0.2086 & 0.4172 & 0.7914 \tabularnewline
108 & 0.184035 & 0.368069 & 0.815965 \tabularnewline
109 & 0.214904 & 0.429808 & 0.785096 \tabularnewline
110 & 0.190991 & 0.381982 & 0.809009 \tabularnewline
111 & 0.171916 & 0.343833 & 0.828084 \tabularnewline
112 & 0.149833 & 0.299666 & 0.850167 \tabularnewline
113 & 0.172247 & 0.344494 & 0.827753 \tabularnewline
114 & 0.191075 & 0.38215 & 0.808925 \tabularnewline
115 & 0.275314 & 0.550629 & 0.724686 \tabularnewline
116 & 0.319025 & 0.638051 & 0.680975 \tabularnewline
117 & 0.334556 & 0.669113 & 0.665444 \tabularnewline
118 & 0.303668 & 0.607336 & 0.696332 \tabularnewline
119 & 0.392473 & 0.784947 & 0.607527 \tabularnewline
120 & 0.394018 & 0.788035 & 0.605982 \tabularnewline
121 & 0.384201 & 0.768401 & 0.615799 \tabularnewline
122 & 0.482381 & 0.964762 & 0.517619 \tabularnewline
123 & 0.46077 & 0.92154 & 0.53923 \tabularnewline
124 & 0.663579 & 0.672843 & 0.336421 \tabularnewline
125 & 0.63781 & 0.72438 & 0.36219 \tabularnewline
126 & 0.605529 & 0.788943 & 0.394471 \tabularnewline
127 & 0.57874 & 0.842519 & 0.42126 \tabularnewline
128 & 0.551888 & 0.896225 & 0.448112 \tabularnewline
129 & 0.586783 & 0.826434 & 0.413217 \tabularnewline
130 & 0.571403 & 0.857194 & 0.428597 \tabularnewline
131 & 0.538349 & 0.923301 & 0.461651 \tabularnewline
132 & 0.533233 & 0.933534 & 0.466767 \tabularnewline
133 & 0.499286 & 0.998573 & 0.500714 \tabularnewline
134 & 0.465812 & 0.931624 & 0.534188 \tabularnewline
135 & 0.500616 & 0.998767 & 0.499384 \tabularnewline
136 & 0.507982 & 0.984036 & 0.492018 \tabularnewline
137 & 0.47519 & 0.950381 & 0.52481 \tabularnewline
138 & 0.709337 & 0.581326 & 0.290663 \tabularnewline
139 & 0.691752 & 0.616496 & 0.308248 \tabularnewline
140 & 0.661637 & 0.676726 & 0.338363 \tabularnewline
141 & 0.633837 & 0.732326 & 0.366163 \tabularnewline
142 & 0.667002 & 0.665996 & 0.332998 \tabularnewline
143 & 0.673566 & 0.652867 & 0.326434 \tabularnewline
144 & 0.642009 & 0.715982 & 0.357991 \tabularnewline
145 & 0.622739 & 0.754521 & 0.377261 \tabularnewline
146 & 0.59281 & 0.81438 & 0.40719 \tabularnewline
147 & 0.559512 & 0.880976 & 0.440488 \tabularnewline
148 & 0.546446 & 0.907108 & 0.453554 \tabularnewline
149 & 0.514176 & 0.971649 & 0.485824 \tabularnewline
150 & 0.552092 & 0.895816 & 0.447908 \tabularnewline
151 & 0.561698 & 0.876605 & 0.438302 \tabularnewline
152 & 0.539398 & 0.921204 & 0.460602 \tabularnewline
153 & 0.532191 & 0.935617 & 0.467809 \tabularnewline
154 & 0.549629 & 0.900742 & 0.450371 \tabularnewline
155 & 0.526312 & 0.947377 & 0.473688 \tabularnewline
156 & 0.493249 & 0.986498 & 0.506751 \tabularnewline
157 & 0.506443 & 0.987115 & 0.493557 \tabularnewline
158 & 0.486119 & 0.972238 & 0.513881 \tabularnewline
159 & 0.464926 & 0.929851 & 0.535074 \tabularnewline
160 & 0.444659 & 0.889318 & 0.555341 \tabularnewline
161 & 0.424843 & 0.849686 & 0.575157 \tabularnewline
162 & 0.391916 & 0.783832 & 0.608084 \tabularnewline
163 & 0.398364 & 0.796729 & 0.601636 \tabularnewline
164 & 0.825864 & 0.348272 & 0.174136 \tabularnewline
165 & 0.87512 & 0.249761 & 0.12488 \tabularnewline
166 & 0.877352 & 0.245297 & 0.122648 \tabularnewline
167 & 0.86679 & 0.266421 & 0.13321 \tabularnewline
168 & 0.848193 & 0.303614 & 0.151807 \tabularnewline
169 & 0.826822 & 0.346356 & 0.173178 \tabularnewline
170 & 0.806159 & 0.387681 & 0.193841 \tabularnewline
171 & 0.78197 & 0.436061 & 0.21803 \tabularnewline
172 & 0.763855 & 0.47229 & 0.236145 \tabularnewline
173 & 0.777704 & 0.444592 & 0.222296 \tabularnewline
174 & 0.783498 & 0.433005 & 0.216502 \tabularnewline
175 & 0.791016 & 0.417967 & 0.208984 \tabularnewline
176 & 0.787345 & 0.42531 & 0.212655 \tabularnewline
177 & 0.76027 & 0.47946 & 0.23973 \tabularnewline
178 & 0.751426 & 0.497148 & 0.248574 \tabularnewline
179 & 0.812285 & 0.37543 & 0.187715 \tabularnewline
180 & 0.925137 & 0.149726 & 0.0748631 \tabularnewline
181 & 0.911593 & 0.176814 & 0.088407 \tabularnewline
182 & 0.904779 & 0.190443 & 0.0952213 \tabularnewline
183 & 0.894097 & 0.211807 & 0.105903 \tabularnewline
184 & 0.87859 & 0.24282 & 0.12141 \tabularnewline
185 & 0.923493 & 0.153015 & 0.0765073 \tabularnewline
186 & 0.913609 & 0.172781 & 0.0863905 \tabularnewline
187 & 0.902572 & 0.194856 & 0.0974281 \tabularnewline
188 & 0.894644 & 0.210713 & 0.105356 \tabularnewline
189 & 0.886568 & 0.226864 & 0.113432 \tabularnewline
190 & 0.881476 & 0.237048 & 0.118524 \tabularnewline
191 & 0.875451 & 0.249099 & 0.124549 \tabularnewline
192 & 0.868111 & 0.263777 & 0.131889 \tabularnewline
193 & 0.848144 & 0.303712 & 0.151856 \tabularnewline
194 & 0.838247 & 0.323507 & 0.161753 \tabularnewline
195 & 0.831197 & 0.337606 & 0.168803 \tabularnewline
196 & 0.811701 & 0.376597 & 0.188299 \tabularnewline
197 & 0.784669 & 0.430662 & 0.215331 \tabularnewline
198 & 0.754589 & 0.490822 & 0.245411 \tabularnewline
199 & 0.725409 & 0.549183 & 0.274591 \tabularnewline
200 & 0.696515 & 0.60697 & 0.303485 \tabularnewline
201 & 0.923206 & 0.153587 & 0.0767936 \tabularnewline
202 & 0.91693 & 0.166141 & 0.0830703 \tabularnewline
203 & 0.900999 & 0.198002 & 0.0990008 \tabularnewline
204 & 0.899965 & 0.20007 & 0.100035 \tabularnewline
205 & 0.880592 & 0.238815 & 0.119408 \tabularnewline
206 & 0.87079 & 0.25842 & 0.12921 \tabularnewline
207 & 0.937361 & 0.125279 & 0.0626395 \tabularnewline
208 & 0.938497 & 0.123005 & 0.0615027 \tabularnewline
209 & 0.945841 & 0.108318 & 0.0541588 \tabularnewline
210 & 0.934281 & 0.131439 & 0.0657195 \tabularnewline
211 & 0.943569 & 0.112863 & 0.0564314 \tabularnewline
212 & 0.940097 & 0.119806 & 0.059903 \tabularnewline
213 & 0.930028 & 0.139944 & 0.0699721 \tabularnewline
214 & 0.916147 & 0.167705 & 0.0838525 \tabularnewline
215 & 0.906126 & 0.187748 & 0.0938739 \tabularnewline
216 & 0.889911 & 0.220178 & 0.110089 \tabularnewline
217 & 0.868274 & 0.263451 & 0.131726 \tabularnewline
218 & 0.914828 & 0.170345 & 0.0851723 \tabularnewline
219 & 0.904608 & 0.190784 & 0.0953922 \tabularnewline
220 & 0.888547 & 0.222907 & 0.111453 \tabularnewline
221 & 0.866732 & 0.266536 & 0.133268 \tabularnewline
222 & 0.932931 & 0.134137 & 0.0670687 \tabularnewline
223 & 0.923548 & 0.152904 & 0.0764518 \tabularnewline
224 & 0.918074 & 0.163852 & 0.0819261 \tabularnewline
225 & 0.905182 & 0.189637 & 0.0948185 \tabularnewline
226 & 0.913867 & 0.172266 & 0.0861332 \tabularnewline
227 & 0.894846 & 0.210308 & 0.105154 \tabularnewline
228 & 0.87173 & 0.256539 & 0.12827 \tabularnewline
229 & 0.846334 & 0.307332 & 0.153666 \tabularnewline
230 & 0.820813 & 0.358373 & 0.179187 \tabularnewline
231 & 0.892113 & 0.215773 & 0.107887 \tabularnewline
232 & 0.873321 & 0.253358 & 0.126679 \tabularnewline
233 & 0.844388 & 0.311224 & 0.155612 \tabularnewline
234 & 0.887585 & 0.224831 & 0.112415 \tabularnewline
235 & 0.864811 & 0.270377 & 0.135189 \tabularnewline
236 & 0.928568 & 0.142864 & 0.0714321 \tabularnewline
237 & 0.953667 & 0.0926651 & 0.0463326 \tabularnewline
238 & 0.948093 & 0.103813 & 0.0519066 \tabularnewline
239 & 0.956522 & 0.0869559 & 0.043478 \tabularnewline
240 & 0.94231 & 0.115381 & 0.0576904 \tabularnewline
241 & 0.936344 & 0.127311 & 0.0636556 \tabularnewline
242 & 0.935964 & 0.128072 & 0.0640358 \tabularnewline
243 & 0.917549 & 0.164902 & 0.0824511 \tabularnewline
244 & 0.980827 & 0.0383451 & 0.0191726 \tabularnewline
245 & 0.977574 & 0.0448526 & 0.0224263 \tabularnewline
246 & 0.969497 & 0.0610054 & 0.0305027 \tabularnewline
247 & 0.965851 & 0.0682981 & 0.0341491 \tabularnewline
248 & 0.950736 & 0.0985282 & 0.0492641 \tabularnewline
249 & 0.929827 & 0.140346 & 0.0701729 \tabularnewline
250 & 0.903199 & 0.193602 & 0.0968011 \tabularnewline
251 & 0.880307 & 0.239386 & 0.119693 \tabularnewline
252 & 0.885846 & 0.228307 & 0.114154 \tabularnewline
253 & 0.84476 & 0.31048 & 0.15524 \tabularnewline
254 & 0.796752 & 0.406497 & 0.203248 \tabularnewline
255 & 0.93674 & 0.12652 & 0.06326 \tabularnewline
256 & 0.904869 & 0.190263 & 0.0951315 \tabularnewline
257 & 0.879257 & 0.241485 & 0.120743 \tabularnewline
258 & 0.829486 & 0.341027 & 0.170514 \tabularnewline
259 & 0.760573 & 0.478854 & 0.239427 \tabularnewline
260 & 0.682355 & 0.635289 & 0.317645 \tabularnewline
261 & 0.673001 & 0.653999 & 0.326999 \tabularnewline
262 & 0.616088 & 0.767824 & 0.383912 \tabularnewline
263 & 0.64222 & 0.71556 & 0.35778 \tabularnewline
264 & 0.518215 & 0.96357 & 0.481785 \tabularnewline
265 & 0.378796 & 0.757592 & 0.621204 \tabularnewline
266 & 0.415671 & 0.831343 & 0.584329 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271894&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]12[/C][C]0.223411[/C][C]0.446821[/C][C]0.776589[/C][/ROW]
[ROW][C]13[/C][C]0.114159[/C][C]0.228318[/C][C]0.885841[/C][/ROW]
[ROW][C]14[/C][C]0.0507607[/C][C]0.101521[/C][C]0.949239[/C][/ROW]
[ROW][C]15[/C][C]0.92231[/C][C]0.15538[/C][C]0.0776902[/C][/ROW]
[ROW][C]16[/C][C]0.876396[/C][C]0.247208[/C][C]0.123604[/C][/ROW]
[ROW][C]17[/C][C]0.835695[/C][C]0.32861[/C][C]0.164305[/C][/ROW]
[ROW][C]18[/C][C]0.787426[/C][C]0.425148[/C][C]0.212574[/C][/ROW]
[ROW][C]19[/C][C]0.77786[/C][C]0.44428[/C][C]0.22214[/C][/ROW]
[ROW][C]20[/C][C]0.768804[/C][C]0.462392[/C][C]0.231196[/C][/ROW]
[ROW][C]21[/C][C]0.741136[/C][C]0.517727[/C][C]0.258864[/C][/ROW]
[ROW][C]22[/C][C]0.672348[/C][C]0.655304[/C][C]0.327652[/C][/ROW]
[ROW][C]23[/C][C]0.871983[/C][C]0.256034[/C][C]0.128017[/C][/ROW]
[ROW][C]24[/C][C]0.85061[/C][C]0.29878[/C][C]0.14939[/C][/ROW]
[ROW][C]25[/C][C]0.833106[/C][C]0.333788[/C][C]0.166894[/C][/ROW]
[ROW][C]26[/C][C]0.84166[/C][C]0.31668[/C][C]0.15834[/C][/ROW]
[ROW][C]27[/C][C]0.856839[/C][C]0.286322[/C][C]0.143161[/C][/ROW]
[ROW][C]28[/C][C]0.826647[/C][C]0.346706[/C][C]0.173353[/C][/ROW]
[ROW][C]29[/C][C]0.791007[/C][C]0.417986[/C][C]0.208993[/C][/ROW]
[ROW][C]30[/C][C]0.742678[/C][C]0.514643[/C][C]0.257322[/C][/ROW]
[ROW][C]31[/C][C]0.889322[/C][C]0.221355[/C][C]0.110678[/C][/ROW]
[ROW][C]32[/C][C]0.882287[/C][C]0.235427[/C][C]0.117713[/C][/ROW]
[ROW][C]33[/C][C]0.862067[/C][C]0.275866[/C][C]0.137933[/C][/ROW]
[ROW][C]34[/C][C]0.830545[/C][C]0.33891[/C][C]0.169455[/C][/ROW]
[ROW][C]35[/C][C]0.882188[/C][C]0.235624[/C][C]0.117812[/C][/ROW]
[ROW][C]36[/C][C]0.911692[/C][C]0.176616[/C][C]0.088308[/C][/ROW]
[ROW][C]37[/C][C]0.892701[/C][C]0.214597[/C][C]0.107299[/C][/ROW]
[ROW][C]38[/C][C]0.869693[/C][C]0.260615[/C][C]0.130307[/C][/ROW]
[ROW][C]39[/C][C]0.848178[/C][C]0.303644[/C][C]0.151822[/C][/ROW]
[ROW][C]40[/C][C]0.839628[/C][C]0.320744[/C][C]0.160372[/C][/ROW]
[ROW][C]41[/C][C]0.844887[/C][C]0.310226[/C][C]0.155113[/C][/ROW]
[ROW][C]42[/C][C]0.812155[/C][C]0.375689[/C][C]0.187845[/C][/ROW]
[ROW][C]43[/C][C]0.783473[/C][C]0.433054[/C][C]0.216527[/C][/ROW]
[ROW][C]44[/C][C]0.753543[/C][C]0.492913[/C][C]0.246457[/C][/ROW]
[ROW][C]45[/C][C]0.840118[/C][C]0.319765[/C][C]0.159882[/C][/ROW]
[ROW][C]46[/C][C]0.869984[/C][C]0.260032[/C][C]0.130016[/C][/ROW]
[ROW][C]47[/C][C]0.888452[/C][C]0.223096[/C][C]0.111548[/C][/ROW]
[ROW][C]48[/C][C]0.86677[/C][C]0.266461[/C][C]0.13323[/C][/ROW]
[ROW][C]49[/C][C]0.889268[/C][C]0.221464[/C][C]0.110732[/C][/ROW]
[ROW][C]50[/C][C]0.875799[/C][C]0.248402[/C][C]0.124201[/C][/ROW]
[ROW][C]51[/C][C]0.854214[/C][C]0.291572[/C][C]0.145786[/C][/ROW]
[ROW][C]52[/C][C]0.894454[/C][C]0.211093[/C][C]0.105546[/C][/ROW]
[ROW][C]53[/C][C]0.873065[/C][C]0.253871[/C][C]0.126935[/C][/ROW]
[ROW][C]54[/C][C]0.903184[/C][C]0.193632[/C][C]0.096816[/C][/ROW]
[ROW][C]55[/C][C]0.892566[/C][C]0.214869[/C][C]0.107434[/C][/ROW]
[ROW][C]56[/C][C]0.883405[/C][C]0.233191[/C][C]0.116595[/C][/ROW]
[ROW][C]57[/C][C]0.877538[/C][C]0.244925[/C][C]0.122462[/C][/ROW]
[ROW][C]58[/C][C]0.860661[/C][C]0.278678[/C][C]0.139339[/C][/ROW]
[ROW][C]59[/C][C]0.890986[/C][C]0.218028[/C][C]0.109014[/C][/ROW]
[ROW][C]60[/C][C]0.871051[/C][C]0.257898[/C][C]0.128949[/C][/ROW]
[ROW][C]61[/C][C]0.851051[/C][C]0.297898[/C][C]0.148949[/C][/ROW]
[ROW][C]62[/C][C]0.832451[/C][C]0.335098[/C][C]0.167549[/C][/ROW]
[ROW][C]63[/C][C]0.832731[/C][C]0.334537[/C][C]0.167269[/C][/ROW]
[ROW][C]64[/C][C]0.86575[/C][C]0.268499[/C][C]0.13425[/C][/ROW]
[ROW][C]65[/C][C]0.876928[/C][C]0.246143[/C][C]0.123072[/C][/ROW]
[ROW][C]66[/C][C]0.874029[/C][C]0.251943[/C][C]0.125971[/C][/ROW]
[ROW][C]67[/C][C]0.88368[/C][C]0.232641[/C][C]0.11632[/C][/ROW]
[ROW][C]68[/C][C]0.930497[/C][C]0.139006[/C][C]0.0695032[/C][/ROW]
[ROW][C]69[/C][C]0.940006[/C][C]0.119989[/C][C]0.0599944[/C][/ROW]
[ROW][C]70[/C][C]0.929354[/C][C]0.141291[/C][C]0.0706455[/C][/ROW]
[ROW][C]71[/C][C]0.926363[/C][C]0.147273[/C][C]0.0736365[/C][/ROW]
[ROW][C]72[/C][C]0.91867[/C][C]0.162659[/C][C]0.0813296[/C][/ROW]
[ROW][C]73[/C][C]0.911555[/C][C]0.176889[/C][C]0.0884446[/C][/ROW]
[ROW][C]74[/C][C]0.894548[/C][C]0.210903[/C][C]0.105452[/C][/ROW]
[ROW][C]75[/C][C]0.876575[/C][C]0.24685[/C][C]0.123425[/C][/ROW]
[ROW][C]76[/C][C]0.856096[/C][C]0.287808[/C][C]0.143904[/C][/ROW]
[ROW][C]77[/C][C]0.833124[/C][C]0.333753[/C][C]0.166876[/C][/ROW]
[ROW][C]78[/C][C]0.812213[/C][C]0.375574[/C][C]0.187787[/C][/ROW]
[ROW][C]79[/C][C]0.792181[/C][C]0.415638[/C][C]0.207819[/C][/ROW]
[ROW][C]80[/C][C]0.792648[/C][C]0.414704[/C][C]0.207352[/C][/ROW]
[ROW][C]81[/C][C]0.766013[/C][C]0.467974[/C][C]0.233987[/C][/ROW]
[ROW][C]82[/C][C]0.742485[/C][C]0.515031[/C][C]0.257515[/C][/ROW]
[ROW][C]83[/C][C]0.7142[/C][C]0.571601[/C][C]0.2858[/C][/ROW]
[ROW][C]84[/C][C]0.680967[/C][C]0.638066[/C][C]0.319033[/C][/ROW]
[ROW][C]85[/C][C]0.677128[/C][C]0.645743[/C][C]0.322872[/C][/ROW]
[ROW][C]86[/C][C]0.642833[/C][C]0.714334[/C][C]0.357167[/C][/ROW]
[ROW][C]87[/C][C]0.622233[/C][C]0.755534[/C][C]0.377767[/C][/ROW]
[ROW][C]88[/C][C]0.605454[/C][C]0.789093[/C][C]0.394546[/C][/ROW]
[ROW][C]89[/C][C]0.573733[/C][C]0.852535[/C][C]0.426267[/C][/ROW]
[ROW][C]90[/C][C]0.588018[/C][C]0.823964[/C][C]0.411982[/C][/ROW]
[ROW][C]91[/C][C]0.569785[/C][C]0.860429[/C][C]0.430215[/C][/ROW]
[ROW][C]92[/C][C]0.548806[/C][C]0.902387[/C][C]0.451194[/C][/ROW]
[ROW][C]93[/C][C]0.566346[/C][C]0.867308[/C][C]0.433654[/C][/ROW]
[ROW][C]94[/C][C]0.53099[/C][C]0.938019[/C][C]0.46901[/C][/ROW]
[ROW][C]95[/C][C]0.494784[/C][C]0.989567[/C][C]0.505216[/C][/ROW]
[ROW][C]96[/C][C]0.467493[/C][C]0.934986[/C][C]0.532507[/C][/ROW]
[ROW][C]97[/C][C]0.447195[/C][C]0.89439[/C][C]0.552805[/C][/ROW]
[ROW][C]98[/C][C]0.410732[/C][C]0.821465[/C][C]0.589268[/C][/ROW]
[ROW][C]99[/C][C]0.376348[/C][C]0.752696[/C][C]0.623652[/C][/ROW]
[ROW][C]100[/C][C]0.349786[/C][C]0.699573[/C][C]0.650214[/C][/ROW]
[ROW][C]101[/C][C]0.342597[/C][C]0.685193[/C][C]0.657403[/C][/ROW]
[ROW][C]102[/C][C]0.309859[/C][C]0.619717[/C][C]0.690141[/C][/ROW]
[ROW][C]103[/C][C]0.289975[/C][C]0.579949[/C][C]0.710025[/C][/ROW]
[ROW][C]104[/C][C]0.291677[/C][C]0.583353[/C][C]0.708323[/C][/ROW]
[ROW][C]105[/C][C]0.264185[/C][C]0.52837[/C][C]0.735815[/C][/ROW]
[ROW][C]106[/C][C]0.235292[/C][C]0.470584[/C][C]0.764708[/C][/ROW]
[ROW][C]107[/C][C]0.2086[/C][C]0.4172[/C][C]0.7914[/C][/ROW]
[ROW][C]108[/C][C]0.184035[/C][C]0.368069[/C][C]0.815965[/C][/ROW]
[ROW][C]109[/C][C]0.214904[/C][C]0.429808[/C][C]0.785096[/C][/ROW]
[ROW][C]110[/C][C]0.190991[/C][C]0.381982[/C][C]0.809009[/C][/ROW]
[ROW][C]111[/C][C]0.171916[/C][C]0.343833[/C][C]0.828084[/C][/ROW]
[ROW][C]112[/C][C]0.149833[/C][C]0.299666[/C][C]0.850167[/C][/ROW]
[ROW][C]113[/C][C]0.172247[/C][C]0.344494[/C][C]0.827753[/C][/ROW]
[ROW][C]114[/C][C]0.191075[/C][C]0.38215[/C][C]0.808925[/C][/ROW]
[ROW][C]115[/C][C]0.275314[/C][C]0.550629[/C][C]0.724686[/C][/ROW]
[ROW][C]116[/C][C]0.319025[/C][C]0.638051[/C][C]0.680975[/C][/ROW]
[ROW][C]117[/C][C]0.334556[/C][C]0.669113[/C][C]0.665444[/C][/ROW]
[ROW][C]118[/C][C]0.303668[/C][C]0.607336[/C][C]0.696332[/C][/ROW]
[ROW][C]119[/C][C]0.392473[/C][C]0.784947[/C][C]0.607527[/C][/ROW]
[ROW][C]120[/C][C]0.394018[/C][C]0.788035[/C][C]0.605982[/C][/ROW]
[ROW][C]121[/C][C]0.384201[/C][C]0.768401[/C][C]0.615799[/C][/ROW]
[ROW][C]122[/C][C]0.482381[/C][C]0.964762[/C][C]0.517619[/C][/ROW]
[ROW][C]123[/C][C]0.46077[/C][C]0.92154[/C][C]0.53923[/C][/ROW]
[ROW][C]124[/C][C]0.663579[/C][C]0.672843[/C][C]0.336421[/C][/ROW]
[ROW][C]125[/C][C]0.63781[/C][C]0.72438[/C][C]0.36219[/C][/ROW]
[ROW][C]126[/C][C]0.605529[/C][C]0.788943[/C][C]0.394471[/C][/ROW]
[ROW][C]127[/C][C]0.57874[/C][C]0.842519[/C][C]0.42126[/C][/ROW]
[ROW][C]128[/C][C]0.551888[/C][C]0.896225[/C][C]0.448112[/C][/ROW]
[ROW][C]129[/C][C]0.586783[/C][C]0.826434[/C][C]0.413217[/C][/ROW]
[ROW][C]130[/C][C]0.571403[/C][C]0.857194[/C][C]0.428597[/C][/ROW]
[ROW][C]131[/C][C]0.538349[/C][C]0.923301[/C][C]0.461651[/C][/ROW]
[ROW][C]132[/C][C]0.533233[/C][C]0.933534[/C][C]0.466767[/C][/ROW]
[ROW][C]133[/C][C]0.499286[/C][C]0.998573[/C][C]0.500714[/C][/ROW]
[ROW][C]134[/C][C]0.465812[/C][C]0.931624[/C][C]0.534188[/C][/ROW]
[ROW][C]135[/C][C]0.500616[/C][C]0.998767[/C][C]0.499384[/C][/ROW]
[ROW][C]136[/C][C]0.507982[/C][C]0.984036[/C][C]0.492018[/C][/ROW]
[ROW][C]137[/C][C]0.47519[/C][C]0.950381[/C][C]0.52481[/C][/ROW]
[ROW][C]138[/C][C]0.709337[/C][C]0.581326[/C][C]0.290663[/C][/ROW]
[ROW][C]139[/C][C]0.691752[/C][C]0.616496[/C][C]0.308248[/C][/ROW]
[ROW][C]140[/C][C]0.661637[/C][C]0.676726[/C][C]0.338363[/C][/ROW]
[ROW][C]141[/C][C]0.633837[/C][C]0.732326[/C][C]0.366163[/C][/ROW]
[ROW][C]142[/C][C]0.667002[/C][C]0.665996[/C][C]0.332998[/C][/ROW]
[ROW][C]143[/C][C]0.673566[/C][C]0.652867[/C][C]0.326434[/C][/ROW]
[ROW][C]144[/C][C]0.642009[/C][C]0.715982[/C][C]0.357991[/C][/ROW]
[ROW][C]145[/C][C]0.622739[/C][C]0.754521[/C][C]0.377261[/C][/ROW]
[ROW][C]146[/C][C]0.59281[/C][C]0.81438[/C][C]0.40719[/C][/ROW]
[ROW][C]147[/C][C]0.559512[/C][C]0.880976[/C][C]0.440488[/C][/ROW]
[ROW][C]148[/C][C]0.546446[/C][C]0.907108[/C][C]0.453554[/C][/ROW]
[ROW][C]149[/C][C]0.514176[/C][C]0.971649[/C][C]0.485824[/C][/ROW]
[ROW][C]150[/C][C]0.552092[/C][C]0.895816[/C][C]0.447908[/C][/ROW]
[ROW][C]151[/C][C]0.561698[/C][C]0.876605[/C][C]0.438302[/C][/ROW]
[ROW][C]152[/C][C]0.539398[/C][C]0.921204[/C][C]0.460602[/C][/ROW]
[ROW][C]153[/C][C]0.532191[/C][C]0.935617[/C][C]0.467809[/C][/ROW]
[ROW][C]154[/C][C]0.549629[/C][C]0.900742[/C][C]0.450371[/C][/ROW]
[ROW][C]155[/C][C]0.526312[/C][C]0.947377[/C][C]0.473688[/C][/ROW]
[ROW][C]156[/C][C]0.493249[/C][C]0.986498[/C][C]0.506751[/C][/ROW]
[ROW][C]157[/C][C]0.506443[/C][C]0.987115[/C][C]0.493557[/C][/ROW]
[ROW][C]158[/C][C]0.486119[/C][C]0.972238[/C][C]0.513881[/C][/ROW]
[ROW][C]159[/C][C]0.464926[/C][C]0.929851[/C][C]0.535074[/C][/ROW]
[ROW][C]160[/C][C]0.444659[/C][C]0.889318[/C][C]0.555341[/C][/ROW]
[ROW][C]161[/C][C]0.424843[/C][C]0.849686[/C][C]0.575157[/C][/ROW]
[ROW][C]162[/C][C]0.391916[/C][C]0.783832[/C][C]0.608084[/C][/ROW]
[ROW][C]163[/C][C]0.398364[/C][C]0.796729[/C][C]0.601636[/C][/ROW]
[ROW][C]164[/C][C]0.825864[/C][C]0.348272[/C][C]0.174136[/C][/ROW]
[ROW][C]165[/C][C]0.87512[/C][C]0.249761[/C][C]0.12488[/C][/ROW]
[ROW][C]166[/C][C]0.877352[/C][C]0.245297[/C][C]0.122648[/C][/ROW]
[ROW][C]167[/C][C]0.86679[/C][C]0.266421[/C][C]0.13321[/C][/ROW]
[ROW][C]168[/C][C]0.848193[/C][C]0.303614[/C][C]0.151807[/C][/ROW]
[ROW][C]169[/C][C]0.826822[/C][C]0.346356[/C][C]0.173178[/C][/ROW]
[ROW][C]170[/C][C]0.806159[/C][C]0.387681[/C][C]0.193841[/C][/ROW]
[ROW][C]171[/C][C]0.78197[/C][C]0.436061[/C][C]0.21803[/C][/ROW]
[ROW][C]172[/C][C]0.763855[/C][C]0.47229[/C][C]0.236145[/C][/ROW]
[ROW][C]173[/C][C]0.777704[/C][C]0.444592[/C][C]0.222296[/C][/ROW]
[ROW][C]174[/C][C]0.783498[/C][C]0.433005[/C][C]0.216502[/C][/ROW]
[ROW][C]175[/C][C]0.791016[/C][C]0.417967[/C][C]0.208984[/C][/ROW]
[ROW][C]176[/C][C]0.787345[/C][C]0.42531[/C][C]0.212655[/C][/ROW]
[ROW][C]177[/C][C]0.76027[/C][C]0.47946[/C][C]0.23973[/C][/ROW]
[ROW][C]178[/C][C]0.751426[/C][C]0.497148[/C][C]0.248574[/C][/ROW]
[ROW][C]179[/C][C]0.812285[/C][C]0.37543[/C][C]0.187715[/C][/ROW]
[ROW][C]180[/C][C]0.925137[/C][C]0.149726[/C][C]0.0748631[/C][/ROW]
[ROW][C]181[/C][C]0.911593[/C][C]0.176814[/C][C]0.088407[/C][/ROW]
[ROW][C]182[/C][C]0.904779[/C][C]0.190443[/C][C]0.0952213[/C][/ROW]
[ROW][C]183[/C][C]0.894097[/C][C]0.211807[/C][C]0.105903[/C][/ROW]
[ROW][C]184[/C][C]0.87859[/C][C]0.24282[/C][C]0.12141[/C][/ROW]
[ROW][C]185[/C][C]0.923493[/C][C]0.153015[/C][C]0.0765073[/C][/ROW]
[ROW][C]186[/C][C]0.913609[/C][C]0.172781[/C][C]0.0863905[/C][/ROW]
[ROW][C]187[/C][C]0.902572[/C][C]0.194856[/C][C]0.0974281[/C][/ROW]
[ROW][C]188[/C][C]0.894644[/C][C]0.210713[/C][C]0.105356[/C][/ROW]
[ROW][C]189[/C][C]0.886568[/C][C]0.226864[/C][C]0.113432[/C][/ROW]
[ROW][C]190[/C][C]0.881476[/C][C]0.237048[/C][C]0.118524[/C][/ROW]
[ROW][C]191[/C][C]0.875451[/C][C]0.249099[/C][C]0.124549[/C][/ROW]
[ROW][C]192[/C][C]0.868111[/C][C]0.263777[/C][C]0.131889[/C][/ROW]
[ROW][C]193[/C][C]0.848144[/C][C]0.303712[/C][C]0.151856[/C][/ROW]
[ROW][C]194[/C][C]0.838247[/C][C]0.323507[/C][C]0.161753[/C][/ROW]
[ROW][C]195[/C][C]0.831197[/C][C]0.337606[/C][C]0.168803[/C][/ROW]
[ROW][C]196[/C][C]0.811701[/C][C]0.376597[/C][C]0.188299[/C][/ROW]
[ROW][C]197[/C][C]0.784669[/C][C]0.430662[/C][C]0.215331[/C][/ROW]
[ROW][C]198[/C][C]0.754589[/C][C]0.490822[/C][C]0.245411[/C][/ROW]
[ROW][C]199[/C][C]0.725409[/C][C]0.549183[/C][C]0.274591[/C][/ROW]
[ROW][C]200[/C][C]0.696515[/C][C]0.60697[/C][C]0.303485[/C][/ROW]
[ROW][C]201[/C][C]0.923206[/C][C]0.153587[/C][C]0.0767936[/C][/ROW]
[ROW][C]202[/C][C]0.91693[/C][C]0.166141[/C][C]0.0830703[/C][/ROW]
[ROW][C]203[/C][C]0.900999[/C][C]0.198002[/C][C]0.0990008[/C][/ROW]
[ROW][C]204[/C][C]0.899965[/C][C]0.20007[/C][C]0.100035[/C][/ROW]
[ROW][C]205[/C][C]0.880592[/C][C]0.238815[/C][C]0.119408[/C][/ROW]
[ROW][C]206[/C][C]0.87079[/C][C]0.25842[/C][C]0.12921[/C][/ROW]
[ROW][C]207[/C][C]0.937361[/C][C]0.125279[/C][C]0.0626395[/C][/ROW]
[ROW][C]208[/C][C]0.938497[/C][C]0.123005[/C][C]0.0615027[/C][/ROW]
[ROW][C]209[/C][C]0.945841[/C][C]0.108318[/C][C]0.0541588[/C][/ROW]
[ROW][C]210[/C][C]0.934281[/C][C]0.131439[/C][C]0.0657195[/C][/ROW]
[ROW][C]211[/C][C]0.943569[/C][C]0.112863[/C][C]0.0564314[/C][/ROW]
[ROW][C]212[/C][C]0.940097[/C][C]0.119806[/C][C]0.059903[/C][/ROW]
[ROW][C]213[/C][C]0.930028[/C][C]0.139944[/C][C]0.0699721[/C][/ROW]
[ROW][C]214[/C][C]0.916147[/C][C]0.167705[/C][C]0.0838525[/C][/ROW]
[ROW][C]215[/C][C]0.906126[/C][C]0.187748[/C][C]0.0938739[/C][/ROW]
[ROW][C]216[/C][C]0.889911[/C][C]0.220178[/C][C]0.110089[/C][/ROW]
[ROW][C]217[/C][C]0.868274[/C][C]0.263451[/C][C]0.131726[/C][/ROW]
[ROW][C]218[/C][C]0.914828[/C][C]0.170345[/C][C]0.0851723[/C][/ROW]
[ROW][C]219[/C][C]0.904608[/C][C]0.190784[/C][C]0.0953922[/C][/ROW]
[ROW][C]220[/C][C]0.888547[/C][C]0.222907[/C][C]0.111453[/C][/ROW]
[ROW][C]221[/C][C]0.866732[/C][C]0.266536[/C][C]0.133268[/C][/ROW]
[ROW][C]222[/C][C]0.932931[/C][C]0.134137[/C][C]0.0670687[/C][/ROW]
[ROW][C]223[/C][C]0.923548[/C][C]0.152904[/C][C]0.0764518[/C][/ROW]
[ROW][C]224[/C][C]0.918074[/C][C]0.163852[/C][C]0.0819261[/C][/ROW]
[ROW][C]225[/C][C]0.905182[/C][C]0.189637[/C][C]0.0948185[/C][/ROW]
[ROW][C]226[/C][C]0.913867[/C][C]0.172266[/C][C]0.0861332[/C][/ROW]
[ROW][C]227[/C][C]0.894846[/C][C]0.210308[/C][C]0.105154[/C][/ROW]
[ROW][C]228[/C][C]0.87173[/C][C]0.256539[/C][C]0.12827[/C][/ROW]
[ROW][C]229[/C][C]0.846334[/C][C]0.307332[/C][C]0.153666[/C][/ROW]
[ROW][C]230[/C][C]0.820813[/C][C]0.358373[/C][C]0.179187[/C][/ROW]
[ROW][C]231[/C][C]0.892113[/C][C]0.215773[/C][C]0.107887[/C][/ROW]
[ROW][C]232[/C][C]0.873321[/C][C]0.253358[/C][C]0.126679[/C][/ROW]
[ROW][C]233[/C][C]0.844388[/C][C]0.311224[/C][C]0.155612[/C][/ROW]
[ROW][C]234[/C][C]0.887585[/C][C]0.224831[/C][C]0.112415[/C][/ROW]
[ROW][C]235[/C][C]0.864811[/C][C]0.270377[/C][C]0.135189[/C][/ROW]
[ROW][C]236[/C][C]0.928568[/C][C]0.142864[/C][C]0.0714321[/C][/ROW]
[ROW][C]237[/C][C]0.953667[/C][C]0.0926651[/C][C]0.0463326[/C][/ROW]
[ROW][C]238[/C][C]0.948093[/C][C]0.103813[/C][C]0.0519066[/C][/ROW]
[ROW][C]239[/C][C]0.956522[/C][C]0.0869559[/C][C]0.043478[/C][/ROW]
[ROW][C]240[/C][C]0.94231[/C][C]0.115381[/C][C]0.0576904[/C][/ROW]
[ROW][C]241[/C][C]0.936344[/C][C]0.127311[/C][C]0.0636556[/C][/ROW]
[ROW][C]242[/C][C]0.935964[/C][C]0.128072[/C][C]0.0640358[/C][/ROW]
[ROW][C]243[/C][C]0.917549[/C][C]0.164902[/C][C]0.0824511[/C][/ROW]
[ROW][C]244[/C][C]0.980827[/C][C]0.0383451[/C][C]0.0191726[/C][/ROW]
[ROW][C]245[/C][C]0.977574[/C][C]0.0448526[/C][C]0.0224263[/C][/ROW]
[ROW][C]246[/C][C]0.969497[/C][C]0.0610054[/C][C]0.0305027[/C][/ROW]
[ROW][C]247[/C][C]0.965851[/C][C]0.0682981[/C][C]0.0341491[/C][/ROW]
[ROW][C]248[/C][C]0.950736[/C][C]0.0985282[/C][C]0.0492641[/C][/ROW]
[ROW][C]249[/C][C]0.929827[/C][C]0.140346[/C][C]0.0701729[/C][/ROW]
[ROW][C]250[/C][C]0.903199[/C][C]0.193602[/C][C]0.0968011[/C][/ROW]
[ROW][C]251[/C][C]0.880307[/C][C]0.239386[/C][C]0.119693[/C][/ROW]
[ROW][C]252[/C][C]0.885846[/C][C]0.228307[/C][C]0.114154[/C][/ROW]
[ROW][C]253[/C][C]0.84476[/C][C]0.31048[/C][C]0.15524[/C][/ROW]
[ROW][C]254[/C][C]0.796752[/C][C]0.406497[/C][C]0.203248[/C][/ROW]
[ROW][C]255[/C][C]0.93674[/C][C]0.12652[/C][C]0.06326[/C][/ROW]
[ROW][C]256[/C][C]0.904869[/C][C]0.190263[/C][C]0.0951315[/C][/ROW]
[ROW][C]257[/C][C]0.879257[/C][C]0.241485[/C][C]0.120743[/C][/ROW]
[ROW][C]258[/C][C]0.829486[/C][C]0.341027[/C][C]0.170514[/C][/ROW]
[ROW][C]259[/C][C]0.760573[/C][C]0.478854[/C][C]0.239427[/C][/ROW]
[ROW][C]260[/C][C]0.682355[/C][C]0.635289[/C][C]0.317645[/C][/ROW]
[ROW][C]261[/C][C]0.673001[/C][C]0.653999[/C][C]0.326999[/C][/ROW]
[ROW][C]262[/C][C]0.616088[/C][C]0.767824[/C][C]0.383912[/C][/ROW]
[ROW][C]263[/C][C]0.64222[/C][C]0.71556[/C][C]0.35778[/C][/ROW]
[ROW][C]264[/C][C]0.518215[/C][C]0.96357[/C][C]0.481785[/C][/ROW]
[ROW][C]265[/C][C]0.378796[/C][C]0.757592[/C][C]0.621204[/C][/ROW]
[ROW][C]266[/C][C]0.415671[/C][C]0.831343[/C][C]0.584329[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271894&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271894&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
120.2234110.4468210.776589
130.1141590.2283180.885841
140.05076070.1015210.949239
150.922310.155380.0776902
160.8763960.2472080.123604
170.8356950.328610.164305
180.7874260.4251480.212574
190.777860.444280.22214
200.7688040.4623920.231196
210.7411360.5177270.258864
220.6723480.6553040.327652
230.8719830.2560340.128017
240.850610.298780.14939
250.8331060.3337880.166894
260.841660.316680.15834
270.8568390.2863220.143161
280.8266470.3467060.173353
290.7910070.4179860.208993
300.7426780.5146430.257322
310.8893220.2213550.110678
320.8822870.2354270.117713
330.8620670.2758660.137933
340.8305450.338910.169455
350.8821880.2356240.117812
360.9116920.1766160.088308
370.8927010.2145970.107299
380.8696930.2606150.130307
390.8481780.3036440.151822
400.8396280.3207440.160372
410.8448870.3102260.155113
420.8121550.3756890.187845
430.7834730.4330540.216527
440.7535430.4929130.246457
450.8401180.3197650.159882
460.8699840.2600320.130016
470.8884520.2230960.111548
480.866770.2664610.13323
490.8892680.2214640.110732
500.8757990.2484020.124201
510.8542140.2915720.145786
520.8944540.2110930.105546
530.8730650.2538710.126935
540.9031840.1936320.096816
550.8925660.2148690.107434
560.8834050.2331910.116595
570.8775380.2449250.122462
580.8606610.2786780.139339
590.8909860.2180280.109014
600.8710510.2578980.128949
610.8510510.2978980.148949
620.8324510.3350980.167549
630.8327310.3345370.167269
640.865750.2684990.13425
650.8769280.2461430.123072
660.8740290.2519430.125971
670.883680.2326410.11632
680.9304970.1390060.0695032
690.9400060.1199890.0599944
700.9293540.1412910.0706455
710.9263630.1472730.0736365
720.918670.1626590.0813296
730.9115550.1768890.0884446
740.8945480.2109030.105452
750.8765750.246850.123425
760.8560960.2878080.143904
770.8331240.3337530.166876
780.8122130.3755740.187787
790.7921810.4156380.207819
800.7926480.4147040.207352
810.7660130.4679740.233987
820.7424850.5150310.257515
830.71420.5716010.2858
840.6809670.6380660.319033
850.6771280.6457430.322872
860.6428330.7143340.357167
870.6222330.7555340.377767
880.6054540.7890930.394546
890.5737330.8525350.426267
900.5880180.8239640.411982
910.5697850.8604290.430215
920.5488060.9023870.451194
930.5663460.8673080.433654
940.530990.9380190.46901
950.4947840.9895670.505216
960.4674930.9349860.532507
970.4471950.894390.552805
980.4107320.8214650.589268
990.3763480.7526960.623652
1000.3497860.6995730.650214
1010.3425970.6851930.657403
1020.3098590.6197170.690141
1030.2899750.5799490.710025
1040.2916770.5833530.708323
1050.2641850.528370.735815
1060.2352920.4705840.764708
1070.20860.41720.7914
1080.1840350.3680690.815965
1090.2149040.4298080.785096
1100.1909910.3819820.809009
1110.1719160.3438330.828084
1120.1498330.2996660.850167
1130.1722470.3444940.827753
1140.1910750.382150.808925
1150.2753140.5506290.724686
1160.3190250.6380510.680975
1170.3345560.6691130.665444
1180.3036680.6073360.696332
1190.3924730.7849470.607527
1200.3940180.7880350.605982
1210.3842010.7684010.615799
1220.4823810.9647620.517619
1230.460770.921540.53923
1240.6635790.6728430.336421
1250.637810.724380.36219
1260.6055290.7889430.394471
1270.578740.8425190.42126
1280.5518880.8962250.448112
1290.5867830.8264340.413217
1300.5714030.8571940.428597
1310.5383490.9233010.461651
1320.5332330.9335340.466767
1330.4992860.9985730.500714
1340.4658120.9316240.534188
1350.5006160.9987670.499384
1360.5079820.9840360.492018
1370.475190.9503810.52481
1380.7093370.5813260.290663
1390.6917520.6164960.308248
1400.6616370.6767260.338363
1410.6338370.7323260.366163
1420.6670020.6659960.332998
1430.6735660.6528670.326434
1440.6420090.7159820.357991
1450.6227390.7545210.377261
1460.592810.814380.40719
1470.5595120.8809760.440488
1480.5464460.9071080.453554
1490.5141760.9716490.485824
1500.5520920.8958160.447908
1510.5616980.8766050.438302
1520.5393980.9212040.460602
1530.5321910.9356170.467809
1540.5496290.9007420.450371
1550.5263120.9473770.473688
1560.4932490.9864980.506751
1570.5064430.9871150.493557
1580.4861190.9722380.513881
1590.4649260.9298510.535074
1600.4446590.8893180.555341
1610.4248430.8496860.575157
1620.3919160.7838320.608084
1630.3983640.7967290.601636
1640.8258640.3482720.174136
1650.875120.2497610.12488
1660.8773520.2452970.122648
1670.866790.2664210.13321
1680.8481930.3036140.151807
1690.8268220.3463560.173178
1700.8061590.3876810.193841
1710.781970.4360610.21803
1720.7638550.472290.236145
1730.7777040.4445920.222296
1740.7834980.4330050.216502
1750.7910160.4179670.208984
1760.7873450.425310.212655
1770.760270.479460.23973
1780.7514260.4971480.248574
1790.8122850.375430.187715
1800.9251370.1497260.0748631
1810.9115930.1768140.088407
1820.9047790.1904430.0952213
1830.8940970.2118070.105903
1840.878590.242820.12141
1850.9234930.1530150.0765073
1860.9136090.1727810.0863905
1870.9025720.1948560.0974281
1880.8946440.2107130.105356
1890.8865680.2268640.113432
1900.8814760.2370480.118524
1910.8754510.2490990.124549
1920.8681110.2637770.131889
1930.8481440.3037120.151856
1940.8382470.3235070.161753
1950.8311970.3376060.168803
1960.8117010.3765970.188299
1970.7846690.4306620.215331
1980.7545890.4908220.245411
1990.7254090.5491830.274591
2000.6965150.606970.303485
2010.9232060.1535870.0767936
2020.916930.1661410.0830703
2030.9009990.1980020.0990008
2040.8999650.200070.100035
2050.8805920.2388150.119408
2060.870790.258420.12921
2070.9373610.1252790.0626395
2080.9384970.1230050.0615027
2090.9458410.1083180.0541588
2100.9342810.1314390.0657195
2110.9435690.1128630.0564314
2120.9400970.1198060.059903
2130.9300280.1399440.0699721
2140.9161470.1677050.0838525
2150.9061260.1877480.0938739
2160.8899110.2201780.110089
2170.8682740.2634510.131726
2180.9148280.1703450.0851723
2190.9046080.1907840.0953922
2200.8885470.2229070.111453
2210.8667320.2665360.133268
2220.9329310.1341370.0670687
2230.9235480.1529040.0764518
2240.9180740.1638520.0819261
2250.9051820.1896370.0948185
2260.9138670.1722660.0861332
2270.8948460.2103080.105154
2280.871730.2565390.12827
2290.8463340.3073320.153666
2300.8208130.3583730.179187
2310.8921130.2157730.107887
2320.8733210.2533580.126679
2330.8443880.3112240.155612
2340.8875850.2248310.112415
2350.8648110.2703770.135189
2360.9285680.1428640.0714321
2370.9536670.09266510.0463326
2380.9480930.1038130.0519066
2390.9565220.08695590.043478
2400.942310.1153810.0576904
2410.9363440.1273110.0636556
2420.9359640.1280720.0640358
2430.9175490.1649020.0824511
2440.9808270.03834510.0191726
2450.9775740.04485260.0224263
2460.9694970.06100540.0305027
2470.9658510.06829810.0341491
2480.9507360.09852820.0492641
2490.9298270.1403460.0701729
2500.9031990.1936020.0968011
2510.8803070.2393860.119693
2520.8858460.2283070.114154
2530.844760.310480.15524
2540.7967520.4064970.203248
2550.936740.126520.06326
2560.9048690.1902630.0951315
2570.8792570.2414850.120743
2580.8294860.3410270.170514
2590.7605730.4788540.239427
2600.6823550.6352890.317645
2610.6730010.6539990.326999
2620.6160880.7678240.383912
2630.642220.715560.35778
2640.5182150.963570.481785
2650.3787960.7575920.621204
2660.4156710.8313430.584329






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.00784314OK
10% type I error level70.027451OK

\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 & 2 & 0.00784314 & OK \tabularnewline
10% type I error level & 7 & 0.027451 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271894&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]2[/C][C]0.00784314[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]7[/C][C]0.027451[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271894&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271894&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 level20.00784314OK
10% type I error level70.027451OK


Figures (Output of Computation)

Figure 1
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 2
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 3
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 4
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 5
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 6
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 7
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 8
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 9
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 10
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


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')
}