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R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Tue, 20 Jan 2015 14:40:02 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Jan/20/t1421764895ijgyzy750932s6w.htm/, Retrieved Wed, 15 May 2024 02:41:32 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=275225, Retrieved Wed, 15 May 2024 02:41:32 +0000

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

-       [Multiple Regression] [vraag 8 multiple ...] [2015-01-20 14:40:02] [563beb1edea669d15db48231c3b63ca2] [Current]

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	10 seconds
R Server	'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275225&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275225&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275225&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	10 seconds
R Server	'George Udny Yule' @ yule.wessa.net

Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 30952 -15.3396year[t] + 42.7707group[t] + 21.5759Algebraic_Reasoning[t] -5.88658Graphical_Interpretation[t] + 1.93152Proportionality_and_Ratio[t] -0.489187Probability_and_Sampling[t] -3.59119Estimation[t] -6.89755gender[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
LFM[t] =  +  30952 -15.3396year[t] +  42.7707group[t] +  21.5759Algebraic_Reasoning[t] -5.88658Graphical_Interpretation[t] +  1.93152Proportionality_and_Ratio[t] -0.489187Probability_and_Sampling[t] -3.59119Estimation[t] -6.89755gender[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275225&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]LFM[t] =  +  30952 -15.3396year[t] +  42.7707group[t] +  21.5759Algebraic_Reasoning[t] -5.88658Graphical_Interpretation[t] +  1.93152Proportionality_and_Ratio[t] -0.489187Probability_and_Sampling[t] -3.59119Estimation[t] -6.89755gender[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275225&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275225&T=1

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 30952 -15.3396year[t] + 42.7707group[t] + 21.5759Algebraic_Reasoning[t] -5.88658Graphical_Interpretation[t] + 1.93152Proportionality_and_Ratio[t] -0.489187Probability_and_Sampling[t] -3.59119Estimation[t] -6.89755gender[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	30952	8355.59	3.704	0.000257195	0.000128598
year	-15.3396	4.15397	-3.693	0.000268625	0.000134313
group	42.7707	4.1321	10.35	2.35844e-21	1.17922e-21
Algebraic_Reasoning	21.5759	12.4897	1.727	0.0852269	0.0426134
Graphical_Interpretation	-5.88658	9.80792	-0.6002	0.548887	0.274444
Proportionality_and_Ratio	1.93152	6.19634	0.3117	0.755495	0.377748
Probability_and_Sampling	-0.489187	6.03725	-0.08103	0.93548	0.46774
Estimation	-3.59119	5.49185	-0.6539	0.513727	0.256863
gender	-6.89755	4.30345	-1.603	0.110153	0.0550767

\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) & 30952 & 8355.59 & 3.704 & 0.000257195 & 0.000128598 \tabularnewline
year & -15.3396 & 4.15397 & -3.693 & 0.000268625 & 0.000134313 \tabularnewline
group & 42.7707 & 4.1321 & 10.35 & 2.35844e-21 & 1.17922e-21 \tabularnewline
Algebraic_Reasoning & 21.5759 & 12.4897 & 1.727 & 0.0852269 & 0.0426134 \tabularnewline
Graphical_Interpretation & -5.88658 & 9.80792 & -0.6002 & 0.548887 & 0.274444 \tabularnewline
Proportionality_and_Ratio & 1.93152 & 6.19634 & 0.3117 & 0.755495 & 0.377748 \tabularnewline
Probability_and_Sampling & -0.489187 & 6.03725 & -0.08103 & 0.93548 & 0.46774 \tabularnewline
Estimation & -3.59119 & 5.49185 & -0.6539 & 0.513727 & 0.256863 \tabularnewline
gender & -6.89755 & 4.30345 & -1.603 & 0.110153 & 0.0550767 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275225&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]30952[/C][C]8355.59[/C][C]3.704[/C][C]0.000257195[/C][C]0.000128598[/C][/ROW]
[ROW][C]year[/C][C]-15.3396[/C][C]4.15397[/C][C]-3.693[/C][C]0.000268625[/C][C]0.000134313[/C][/ROW]
[ROW][C]group[/C][C]42.7707[/C][C]4.1321[/C][C]10.35[/C][C]2.35844e-21[/C][C]1.17922e-21[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]21.5759[/C][C]12.4897[/C][C]1.727[/C][C]0.0852269[/C][C]0.0426134[/C][/ROW]
[ROW][C]Graphical_Interpretation[/C][C]-5.88658[/C][C]9.80792[/C][C]-0.6002[/C][C]0.548887[/C][C]0.274444[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[/C][C]1.93152[/C][C]6.19634[/C][C]0.3117[/C][C]0.755495[/C][C]0.377748[/C][/ROW]
[ROW][C]Probability_and_Sampling[/C][C]-0.489187[/C][C]6.03725[/C][C]-0.08103[/C][C]0.93548[/C][C]0.46774[/C][/ROW]
[ROW][C]Estimation[/C][C]-3.59119[/C][C]5.49185[/C][C]-0.6539[/C][C]0.513727[/C][C]0.256863[/C][/ROW]
[ROW][C]gender[/C][C]-6.89755[/C][C]4.30345[/C][C]-1.603[/C][C]0.110153[/C][C]0.0550767[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275225&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275225&T=2

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	30952	8355.59	3.704	0.000257195	0.000128598
year	-15.3396	4.15397	-3.693	0.000268625	0.000134313
group	42.7707	4.1321	10.35	2.35844e-21	1.17922e-21
Algebraic_Reasoning	21.5759	12.4897	1.727	0.0852269	0.0426134
Graphical_Interpretation	-5.88658	9.80792	-0.6002	0.548887	0.274444
Proportionality_and_Ratio	1.93152	6.19634	0.3117	0.755495	0.377748
Probability_and_Sampling	-0.489187	6.03725	-0.08103	0.93548	0.46774
Estimation	-3.59119	5.49185	-0.6539	0.513727	0.256863
gender	-6.89755	4.30345	-1.603	0.110153	0.0550767

Multiple Linear Regression - Regression Statistics
Multiple R	0.565605
R-squared	0.319909
Adjusted R-squared	0.299683
F-TEST (value)	15.8169
F-TEST (DF numerator)	8
F-TEST (DF denominator)	269
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	33.3353
Sum Squared Residuals	298925

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.565605 \tabularnewline
R-squared & 0.319909 \tabularnewline
Adjusted R-squared & 0.299683 \tabularnewline
F-TEST (value) & 15.8169 \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 & 33.3353 \tabularnewline
Sum Squared Residuals & 298925 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275225&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.565605[/C][/ROW]
[ROW][C]R-squared[/C][C]0.319909[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.299683[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]15.8169[/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]33.3353[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]298925[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275225&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275225&T=3

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Regression Statistics
Multiple R	0.565605
R-squared	0.319909
Adjusted R-squared	0.299683
F-TEST (value)	15.8169
F-TEST (DF numerator)	8
F-TEST (DF denominator)	269
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	33.3353
Sum Squared Residuals	298925

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	149	153.272	-4.27161
2	139	142.735	-3.7353
3	148	147.376	0.624151
4	158	145.934	12.0663
5	128	147.11	-19.1103
6	224	144.464	79.5358
7	159	151.723	7.27684
8	105	142.932	-37.9324
9	159	150.004	8.99573
10	167	150.288	16.7115
11	165	150.17	14.8302
12	159	138.363	20.6374
13	119	140.735	-21.7352
14	176	150.319	25.6809
15	54	154.41	-100.41
16	91	109.129	-18.129
17	163	142.373	20.6267
18	124	154.89	-30.8899
19	137	101.151	35.849
20	121	143.709	-22.7091
21	153	143.06	9.94041
22	148	144.137	3.86324
23	221	152.035	68.965
24	188	136.507	51.4929
25	149	150.053	-1.05307
26	244	140.403	103.597
27	148	109.507	38.4928
28	92	107.401	-15.4014
29	150	141.116	8.8843
30	153	145.857	7.14303
31	94	148.662	-54.6617
32	156	147.78	8.22029
33	132	148.502	-16.5021
34	161	139.901	21.0987
35	105	147.226	-42.2265
36	97	140.509	-43.5091
37	151	151.096	-0.0960161
38	131	97.3874	33.6126
39	166	145.188	20.8124
40	157	153.604	3.39597
41	111	146.344	-35.3445
42	145	140.234	4.7663
43	162	143.892	18.1078
44	163	141.116	21.8843
45	59	96.5507	-37.5507
46	187	152.085	34.9148
47	109	137.812	-28.8123
48	90	95.012	-5.01199
49	105	153.125	-48.1252
50	83	105.574	-22.5739
51	116	99.014	16.986
52	42	96.0515	-54.0515
53	148	137.616	10.3835
54	155	100.367	54.6334
55	125	142.531	-17.5308
56	116	144.304	-28.3043
57	128	106.243	21.7568
58	138	144.924	-6.92378
59	49	107.168	-58.1684
60	96	108.251	-12.2509
61	164	150.415	13.5849
62	162	155.468	6.53177
63	99	145.611	-46.6111
64	202	138.959	63.0406
65	186	147.78	38.2203
66	66	95.0305	-29.0305
67	183	144.759	38.2414
68	214	135.006	78.9938
69	188	146.405	41.5951
70	104	107.02	-3.0196
71	177	156.106	20.8944
72	126	151.114	-25.114
73	76	110.815	-34.8153
74	99	100.621	-1.62129
75	139	149.458	-10.4579
76	162	153.372	8.62767
77	108	104.574	3.42552
78	159	148.515	10.4853
79	74	105.745	-31.7453
80	110	148.326	-38.3261
81	96	110.718	-14.7177
82	116	107.688	8.31211
83	87	107.519	-20.5188
84	97	97.0509	-0.0508585
85	127	109.983	17.0173
86	106	105.319	0.680769
87	80	96.2292	-16.2292
88	74	106.243	-32.2432
89	91	110.471	-19.4713
90	133	108.627	24.3731
91	74	104.574	-30.5745
92	114	96.8063	17.1937
93	140	101.729	38.2706
94	95	105.861	-10.8614
95	98	99.5718	-1.57177
96	121	109.569	11.4312
97	126	106.437	19.5626
98	98	102.172	-4.17229
99	95	102.779	-7.77889
100	110	98.4637	11.5363
101	70	97.248	-27.248
102	102	105.881	-3.88125
103	86	101.576	-15.576
104	130	99.2098	30.7902
105	96	100.367	-4.36664
106	102	109.386	-7.38587
107	100	111.543	-11.5435
108	94	113.935	-19.9346
109	52	105.391	-53.3908
110	98	107.264	-9.2642
111	118	108.343	9.65671
112	99	98.7083	0.291706
113	48	127.671	-79.6706
114	50	122.492	-72.492
115	150	125.788	24.2116
116	154	123.129	30.8706
117	109	102.359	6.64066
118	68	82.8695	-14.8695
119	194	135.163	58.8374
120	158	129.39	28.6105
121	159	128.297	30.703
122	67	132.538	-65.5378
123	147	130.879	16.1206
124	39	128.934	-89.9344
125	100	122.981	-22.9811
126	111	123.63	-12.6296
127	138	124.845	13.1547
128	101	123.483	-22.4826
129	131	87.5775	43.4225
130	101	129.965	-28.9654
131	114	125.287	-11.2869
132	165	134.333	30.6666
133	114	126.934	-12.9343
134	111	124.679	-13.6791
135	75	123.269	-48.2688
136	82	128.297	-46.297
137	121	124.65	-3.64954
138	32	128.73	-96.7299
139	150	133.037	16.963
140	117	126.475	-9.47471
141	71	84.6751	-13.6751
142	165	119.922	45.0778
143	154	124.692	29.308
144	126	124.894	1.10586
145	149	134.568	14.4318
146	145	135.774	9.22555
147	120	125.64	-5.64021
148	109	135.089	-26.0895
149	132	134.659	-2.65944
150	172	126.288	45.7123
151	169	131.381	37.6191
152	114	133.557	-19.5566
153	156	131.092	24.908
154	172	131.743	40.2571
155	68	85.832	-17.832
156	89	81.83	7.16998
157	167	129.602	37.3979
158	113	137.108	-24.1076
159	115	99.8089	15.1911
160	78	93.6129	-15.6129
161	118	98.2887	19.7113
162	87	86.1637	0.836276
163	173	137.266	35.7344
164	2	126.445	-124.445
165	162	97.6822	64.3178
166	49	81.2221	-32.2221
167	122	97.6513	24.3487
168	96	84.3118	11.6882
169	100	88.9036	11.0964
170	82	91.1786	-9.17856
171	100	90.5092	9.4908
172	115	91.4052	23.5948
173	141	99.2976	41.7024
174	165	126.807	38.1929
175	165	126.807	38.1929
176	110	79.5537	30.4463
177	118	123.081	-5.08055
178	158	131.528	26.4721
179	146	85.2049	60.7951
180	49	133.537	-84.5372
181	90	93.1211	-3.12114
182	121	91.5626	29.4374
183	155	135.596	19.4045
184	104	95.5053	8.49468
185	147	86.7559	60.2441
186	110	98.3183	11.6817
187	108	98.3183	9.68168
188	113	98.3183	14.6817
189	115	98.3183	16.6817
190	61	93.0804	-32.0804
191	60	88.5962	-28.5962
192	109	80.5277	28.4723
193	68	79.7508	-11.7508
194	111	90.3953	20.6047
195	77	95.7203	-18.7203
196	73	91.1466	-18.1466
197	151	141.561	9.43906
198	89	87.8181	1.18188
199	78	88.3938	-10.3938
200	110	93.6802	16.3198
201	220	128.297	91.703
202	65	89.9797	-24.9797
203	141	129.341	11.6593
204	117	90.6992	26.3008
205	122	126.934	-4.93432
206	63	90.9037	-27.9037
207	44	118.373	-74.3726
208	52	84.5256	-32.5256
209	131	88.8188	42.1812
210	101	85.0579	15.9421
211	42	88.9903	-46.9903
212	152	124.237	27.7626
213	107	127.969	-20.9688
214	77	86.8146	-9.81457
215	154	139.51	14.4902
216	103	126.573	-23.5729
217	96	88.2162	7.7838
218	175	123.493	51.5073
219	57	88.3812	-31.3812
220	112	100.691	11.3091
221	143	131.498	11.5017
222	49	87.3649	-38.3649
223	110	135.438	-25.4375
224	131	129.349	1.6512
225	167	132.067	34.9329
226	56	96.3771	-40.3771
227	137	128.86	8.14002
228	86	83.7615	2.23846
229	121	129.848	-8.84804
230	149	134.833	14.1674
231	168	131.59	36.4104
232	140	126.82	13.1802
233	88	84.281	3.71899
234	168	124.777	43.2233
235	94	124.692	-30.692
236	51	128.934	-77.9344
237	48	93.9248	-45.9248
238	145	124.239	20.7613
239	66	124.692	-58.692
240	85	84.2055	0.794536
241	109	133.949	-24.9493
242	63	89.914	-26.914
243	102	87.3219	14.6781
244	162	97.6822	64.3178
245	86	90.7538	-4.75379
246	114	85.7819	28.2181
247	164	134.176	29.8241
248	119	130.987	-11.9869
249	126	132.655	-6.65517
250	132	122.324	9.67558
251	142	127.915	14.0848
252	83	133.617	-50.6169
253	94	89.8723	4.12768
254	81	90.3953	-9.39526
255	166	131.122	34.8777
256	110	96.3757	13.6243
257	64	89.0186	-25.0186
258	93	136.884	-43.8838
259	104	93.5628	10.4372
260	105	83.0165	21.9835
261	49	81.2221	-32.2221
262	88	96.3757	-8.37575
263	95	84.9912	10.0088
264	102	87.3219	14.6781
265	99	93.6129	5.38712
266	63	77.5636	-14.5636
267	76	96.9569	-20.9569
268	109	90.9147	18.0853
269	117	90.9316	26.0684
270	57	90.7859	-33.7859
271	120	92.5634	27.4366
272	73	84.0364	-11.0364
273	91	87.8181	3.18188
274	108	95.4938	12.5062
275	105	84.3106	20.6894
276	117	136.774	-19.7739
277	119	96.3771	22.6229
278	31	95.4927	-64.4927

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 149 & 153.272 & -4.27161 \tabularnewline
2 & 139 & 142.735 & -3.7353 \tabularnewline
3 & 148 & 147.376 & 0.624151 \tabularnewline
4 & 158 & 145.934 & 12.0663 \tabularnewline
5 & 128 & 147.11 & -19.1103 \tabularnewline
6 & 224 & 144.464 & 79.5358 \tabularnewline
7 & 159 & 151.723 & 7.27684 \tabularnewline
8 & 105 & 142.932 & -37.9324 \tabularnewline
9 & 159 & 150.004 & 8.99573 \tabularnewline
10 & 167 & 150.288 & 16.7115 \tabularnewline
11 & 165 & 150.17 & 14.8302 \tabularnewline
12 & 159 & 138.363 & 20.6374 \tabularnewline
13 & 119 & 140.735 & -21.7352 \tabularnewline
14 & 176 & 150.319 & 25.6809 \tabularnewline
15 & 54 & 154.41 & -100.41 \tabularnewline
16 & 91 & 109.129 & -18.129 \tabularnewline
17 & 163 & 142.373 & 20.6267 \tabularnewline
18 & 124 & 154.89 & -30.8899 \tabularnewline
19 & 137 & 101.151 & 35.849 \tabularnewline
20 & 121 & 143.709 & -22.7091 \tabularnewline
21 & 153 & 143.06 & 9.94041 \tabularnewline
22 & 148 & 144.137 & 3.86324 \tabularnewline
23 & 221 & 152.035 & 68.965 \tabularnewline
24 & 188 & 136.507 & 51.4929 \tabularnewline
25 & 149 & 150.053 & -1.05307 \tabularnewline
26 & 244 & 140.403 & 103.597 \tabularnewline
27 & 148 & 109.507 & 38.4928 \tabularnewline
28 & 92 & 107.401 & -15.4014 \tabularnewline
29 & 150 & 141.116 & 8.8843 \tabularnewline
30 & 153 & 145.857 & 7.14303 \tabularnewline
31 & 94 & 148.662 & -54.6617 \tabularnewline
32 & 156 & 147.78 & 8.22029 \tabularnewline
33 & 132 & 148.502 & -16.5021 \tabularnewline
34 & 161 & 139.901 & 21.0987 \tabularnewline
35 & 105 & 147.226 & -42.2265 \tabularnewline
36 & 97 & 140.509 & -43.5091 \tabularnewline
37 & 151 & 151.096 & -0.0960161 \tabularnewline
38 & 131 & 97.3874 & 33.6126 \tabularnewline
39 & 166 & 145.188 & 20.8124 \tabularnewline
40 & 157 & 153.604 & 3.39597 \tabularnewline
41 & 111 & 146.344 & -35.3445 \tabularnewline
42 & 145 & 140.234 & 4.7663 \tabularnewline
43 & 162 & 143.892 & 18.1078 \tabularnewline
44 & 163 & 141.116 & 21.8843 \tabularnewline
45 & 59 & 96.5507 & -37.5507 \tabularnewline
46 & 187 & 152.085 & 34.9148 \tabularnewline
47 & 109 & 137.812 & -28.8123 \tabularnewline
48 & 90 & 95.012 & -5.01199 \tabularnewline
49 & 105 & 153.125 & -48.1252 \tabularnewline
50 & 83 & 105.574 & -22.5739 \tabularnewline
51 & 116 & 99.014 & 16.986 \tabularnewline
52 & 42 & 96.0515 & -54.0515 \tabularnewline
53 & 148 & 137.616 & 10.3835 \tabularnewline
54 & 155 & 100.367 & 54.6334 \tabularnewline
55 & 125 & 142.531 & -17.5308 \tabularnewline
56 & 116 & 144.304 & -28.3043 \tabularnewline
57 & 128 & 106.243 & 21.7568 \tabularnewline
58 & 138 & 144.924 & -6.92378 \tabularnewline
59 & 49 & 107.168 & -58.1684 \tabularnewline
60 & 96 & 108.251 & -12.2509 \tabularnewline
61 & 164 & 150.415 & 13.5849 \tabularnewline
62 & 162 & 155.468 & 6.53177 \tabularnewline
63 & 99 & 145.611 & -46.6111 \tabularnewline
64 & 202 & 138.959 & 63.0406 \tabularnewline
65 & 186 & 147.78 & 38.2203 \tabularnewline
66 & 66 & 95.0305 & -29.0305 \tabularnewline
67 & 183 & 144.759 & 38.2414 \tabularnewline
68 & 214 & 135.006 & 78.9938 \tabularnewline
69 & 188 & 146.405 & 41.5951 \tabularnewline
70 & 104 & 107.02 & -3.0196 \tabularnewline
71 & 177 & 156.106 & 20.8944 \tabularnewline
72 & 126 & 151.114 & -25.114 \tabularnewline
73 & 76 & 110.815 & -34.8153 \tabularnewline
74 & 99 & 100.621 & -1.62129 \tabularnewline
75 & 139 & 149.458 & -10.4579 \tabularnewline
76 & 162 & 153.372 & 8.62767 \tabularnewline
77 & 108 & 104.574 & 3.42552 \tabularnewline
78 & 159 & 148.515 & 10.4853 \tabularnewline
79 & 74 & 105.745 & -31.7453 \tabularnewline
80 & 110 & 148.326 & -38.3261 \tabularnewline
81 & 96 & 110.718 & -14.7177 \tabularnewline
82 & 116 & 107.688 & 8.31211 \tabularnewline
83 & 87 & 107.519 & -20.5188 \tabularnewline
84 & 97 & 97.0509 & -0.0508585 \tabularnewline
85 & 127 & 109.983 & 17.0173 \tabularnewline
86 & 106 & 105.319 & 0.680769 \tabularnewline
87 & 80 & 96.2292 & -16.2292 \tabularnewline
88 & 74 & 106.243 & -32.2432 \tabularnewline
89 & 91 & 110.471 & -19.4713 \tabularnewline
90 & 133 & 108.627 & 24.3731 \tabularnewline
91 & 74 & 104.574 & -30.5745 \tabularnewline
92 & 114 & 96.8063 & 17.1937 \tabularnewline
93 & 140 & 101.729 & 38.2706 \tabularnewline
94 & 95 & 105.861 & -10.8614 \tabularnewline
95 & 98 & 99.5718 & -1.57177 \tabularnewline
96 & 121 & 109.569 & 11.4312 \tabularnewline
97 & 126 & 106.437 & 19.5626 \tabularnewline
98 & 98 & 102.172 & -4.17229 \tabularnewline
99 & 95 & 102.779 & -7.77889 \tabularnewline
100 & 110 & 98.4637 & 11.5363 \tabularnewline
101 & 70 & 97.248 & -27.248 \tabularnewline
102 & 102 & 105.881 & -3.88125 \tabularnewline
103 & 86 & 101.576 & -15.576 \tabularnewline
104 & 130 & 99.2098 & 30.7902 \tabularnewline
105 & 96 & 100.367 & -4.36664 \tabularnewline
106 & 102 & 109.386 & -7.38587 \tabularnewline
107 & 100 & 111.543 & -11.5435 \tabularnewline
108 & 94 & 113.935 & -19.9346 \tabularnewline
109 & 52 & 105.391 & -53.3908 \tabularnewline
110 & 98 & 107.264 & -9.2642 \tabularnewline
111 & 118 & 108.343 & 9.65671 \tabularnewline
112 & 99 & 98.7083 & 0.291706 \tabularnewline
113 & 48 & 127.671 & -79.6706 \tabularnewline
114 & 50 & 122.492 & -72.492 \tabularnewline
115 & 150 & 125.788 & 24.2116 \tabularnewline
116 & 154 & 123.129 & 30.8706 \tabularnewline
117 & 109 & 102.359 & 6.64066 \tabularnewline
118 & 68 & 82.8695 & -14.8695 \tabularnewline
119 & 194 & 135.163 & 58.8374 \tabularnewline
120 & 158 & 129.39 & 28.6105 \tabularnewline
121 & 159 & 128.297 & 30.703 \tabularnewline
122 & 67 & 132.538 & -65.5378 \tabularnewline
123 & 147 & 130.879 & 16.1206 \tabularnewline
124 & 39 & 128.934 & -89.9344 \tabularnewline
125 & 100 & 122.981 & -22.9811 \tabularnewline
126 & 111 & 123.63 & -12.6296 \tabularnewline
127 & 138 & 124.845 & 13.1547 \tabularnewline
128 & 101 & 123.483 & -22.4826 \tabularnewline
129 & 131 & 87.5775 & 43.4225 \tabularnewline
130 & 101 & 129.965 & -28.9654 \tabularnewline
131 & 114 & 125.287 & -11.2869 \tabularnewline
132 & 165 & 134.333 & 30.6666 \tabularnewline
133 & 114 & 126.934 & -12.9343 \tabularnewline
134 & 111 & 124.679 & -13.6791 \tabularnewline
135 & 75 & 123.269 & -48.2688 \tabularnewline
136 & 82 & 128.297 & -46.297 \tabularnewline
137 & 121 & 124.65 & -3.64954 \tabularnewline
138 & 32 & 128.73 & -96.7299 \tabularnewline
139 & 150 & 133.037 & 16.963 \tabularnewline
140 & 117 & 126.475 & -9.47471 \tabularnewline
141 & 71 & 84.6751 & -13.6751 \tabularnewline
142 & 165 & 119.922 & 45.0778 \tabularnewline
143 & 154 & 124.692 & 29.308 \tabularnewline
144 & 126 & 124.894 & 1.10586 \tabularnewline
145 & 149 & 134.568 & 14.4318 \tabularnewline
146 & 145 & 135.774 & 9.22555 \tabularnewline
147 & 120 & 125.64 & -5.64021 \tabularnewline
148 & 109 & 135.089 & -26.0895 \tabularnewline
149 & 132 & 134.659 & -2.65944 \tabularnewline
150 & 172 & 126.288 & 45.7123 \tabularnewline
151 & 169 & 131.381 & 37.6191 \tabularnewline
152 & 114 & 133.557 & -19.5566 \tabularnewline
153 & 156 & 131.092 & 24.908 \tabularnewline
154 & 172 & 131.743 & 40.2571 \tabularnewline
155 & 68 & 85.832 & -17.832 \tabularnewline
156 & 89 & 81.83 & 7.16998 \tabularnewline
157 & 167 & 129.602 & 37.3979 \tabularnewline
158 & 113 & 137.108 & -24.1076 \tabularnewline
159 & 115 & 99.8089 & 15.1911 \tabularnewline
160 & 78 & 93.6129 & -15.6129 \tabularnewline
161 & 118 & 98.2887 & 19.7113 \tabularnewline
162 & 87 & 86.1637 & 0.836276 \tabularnewline
163 & 173 & 137.266 & 35.7344 \tabularnewline
164 & 2 & 126.445 & -124.445 \tabularnewline
165 & 162 & 97.6822 & 64.3178 \tabularnewline
166 & 49 & 81.2221 & -32.2221 \tabularnewline
167 & 122 & 97.6513 & 24.3487 \tabularnewline
168 & 96 & 84.3118 & 11.6882 \tabularnewline
169 & 100 & 88.9036 & 11.0964 \tabularnewline
170 & 82 & 91.1786 & -9.17856 \tabularnewline
171 & 100 & 90.5092 & 9.4908 \tabularnewline
172 & 115 & 91.4052 & 23.5948 \tabularnewline
173 & 141 & 99.2976 & 41.7024 \tabularnewline
174 & 165 & 126.807 & 38.1929 \tabularnewline
175 & 165 & 126.807 & 38.1929 \tabularnewline
176 & 110 & 79.5537 & 30.4463 \tabularnewline
177 & 118 & 123.081 & -5.08055 \tabularnewline
178 & 158 & 131.528 & 26.4721 \tabularnewline
179 & 146 & 85.2049 & 60.7951 \tabularnewline
180 & 49 & 133.537 & -84.5372 \tabularnewline
181 & 90 & 93.1211 & -3.12114 \tabularnewline
182 & 121 & 91.5626 & 29.4374 \tabularnewline
183 & 155 & 135.596 & 19.4045 \tabularnewline
184 & 104 & 95.5053 & 8.49468 \tabularnewline
185 & 147 & 86.7559 & 60.2441 \tabularnewline
186 & 110 & 98.3183 & 11.6817 \tabularnewline
187 & 108 & 98.3183 & 9.68168 \tabularnewline
188 & 113 & 98.3183 & 14.6817 \tabularnewline
189 & 115 & 98.3183 & 16.6817 \tabularnewline
190 & 61 & 93.0804 & -32.0804 \tabularnewline
191 & 60 & 88.5962 & -28.5962 \tabularnewline
192 & 109 & 80.5277 & 28.4723 \tabularnewline
193 & 68 & 79.7508 & -11.7508 \tabularnewline
194 & 111 & 90.3953 & 20.6047 \tabularnewline
195 & 77 & 95.7203 & -18.7203 \tabularnewline
196 & 73 & 91.1466 & -18.1466 \tabularnewline
197 & 151 & 141.561 & 9.43906 \tabularnewline
198 & 89 & 87.8181 & 1.18188 \tabularnewline
199 & 78 & 88.3938 & -10.3938 \tabularnewline
200 & 110 & 93.6802 & 16.3198 \tabularnewline
201 & 220 & 128.297 & 91.703 \tabularnewline
202 & 65 & 89.9797 & -24.9797 \tabularnewline
203 & 141 & 129.341 & 11.6593 \tabularnewline
204 & 117 & 90.6992 & 26.3008 \tabularnewline
205 & 122 & 126.934 & -4.93432 \tabularnewline
206 & 63 & 90.9037 & -27.9037 \tabularnewline
207 & 44 & 118.373 & -74.3726 \tabularnewline
208 & 52 & 84.5256 & -32.5256 \tabularnewline
209 & 131 & 88.8188 & 42.1812 \tabularnewline
210 & 101 & 85.0579 & 15.9421 \tabularnewline
211 & 42 & 88.9903 & -46.9903 \tabularnewline
212 & 152 & 124.237 & 27.7626 \tabularnewline
213 & 107 & 127.969 & -20.9688 \tabularnewline
214 & 77 & 86.8146 & -9.81457 \tabularnewline
215 & 154 & 139.51 & 14.4902 \tabularnewline
216 & 103 & 126.573 & -23.5729 \tabularnewline
217 & 96 & 88.2162 & 7.7838 \tabularnewline
218 & 175 & 123.493 & 51.5073 \tabularnewline
219 & 57 & 88.3812 & -31.3812 \tabularnewline
220 & 112 & 100.691 & 11.3091 \tabularnewline
221 & 143 & 131.498 & 11.5017 \tabularnewline
222 & 49 & 87.3649 & -38.3649 \tabularnewline
223 & 110 & 135.438 & -25.4375 \tabularnewline
224 & 131 & 129.349 & 1.6512 \tabularnewline
225 & 167 & 132.067 & 34.9329 \tabularnewline
226 & 56 & 96.3771 & -40.3771 \tabularnewline
227 & 137 & 128.86 & 8.14002 \tabularnewline
228 & 86 & 83.7615 & 2.23846 \tabularnewline
229 & 121 & 129.848 & -8.84804 \tabularnewline
230 & 149 & 134.833 & 14.1674 \tabularnewline
231 & 168 & 131.59 & 36.4104 \tabularnewline
232 & 140 & 126.82 & 13.1802 \tabularnewline
233 & 88 & 84.281 & 3.71899 \tabularnewline
234 & 168 & 124.777 & 43.2233 \tabularnewline
235 & 94 & 124.692 & -30.692 \tabularnewline
236 & 51 & 128.934 & -77.9344 \tabularnewline
237 & 48 & 93.9248 & -45.9248 \tabularnewline
238 & 145 & 124.239 & 20.7613 \tabularnewline
239 & 66 & 124.692 & -58.692 \tabularnewline
240 & 85 & 84.2055 & 0.794536 \tabularnewline
241 & 109 & 133.949 & -24.9493 \tabularnewline
242 & 63 & 89.914 & -26.914 \tabularnewline
243 & 102 & 87.3219 & 14.6781 \tabularnewline
244 & 162 & 97.6822 & 64.3178 \tabularnewline
245 & 86 & 90.7538 & -4.75379 \tabularnewline
246 & 114 & 85.7819 & 28.2181 \tabularnewline
247 & 164 & 134.176 & 29.8241 \tabularnewline
248 & 119 & 130.987 & -11.9869 \tabularnewline
249 & 126 & 132.655 & -6.65517 \tabularnewline
250 & 132 & 122.324 & 9.67558 \tabularnewline
251 & 142 & 127.915 & 14.0848 \tabularnewline
252 & 83 & 133.617 & -50.6169 \tabularnewline
253 & 94 & 89.8723 & 4.12768 \tabularnewline
254 & 81 & 90.3953 & -9.39526 \tabularnewline
255 & 166 & 131.122 & 34.8777 \tabularnewline
256 & 110 & 96.3757 & 13.6243 \tabularnewline
257 & 64 & 89.0186 & -25.0186 \tabularnewline
258 & 93 & 136.884 & -43.8838 \tabularnewline
259 & 104 & 93.5628 & 10.4372 \tabularnewline
260 & 105 & 83.0165 & 21.9835 \tabularnewline
261 & 49 & 81.2221 & -32.2221 \tabularnewline
262 & 88 & 96.3757 & -8.37575 \tabularnewline
263 & 95 & 84.9912 & 10.0088 \tabularnewline
264 & 102 & 87.3219 & 14.6781 \tabularnewline
265 & 99 & 93.6129 & 5.38712 \tabularnewline
266 & 63 & 77.5636 & -14.5636 \tabularnewline
267 & 76 & 96.9569 & -20.9569 \tabularnewline
268 & 109 & 90.9147 & 18.0853 \tabularnewline
269 & 117 & 90.9316 & 26.0684 \tabularnewline
270 & 57 & 90.7859 & -33.7859 \tabularnewline
271 & 120 & 92.5634 & 27.4366 \tabularnewline
272 & 73 & 84.0364 & -11.0364 \tabularnewline
273 & 91 & 87.8181 & 3.18188 \tabularnewline
274 & 108 & 95.4938 & 12.5062 \tabularnewline
275 & 105 & 84.3106 & 20.6894 \tabularnewline
276 & 117 & 136.774 & -19.7739 \tabularnewline
277 & 119 & 96.3771 & 22.6229 \tabularnewline
278 & 31 & 95.4927 & -64.4927 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275225&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]153.272[/C][C]-4.27161[/C][/ROW]
[ROW][C]2[/C][C]139[/C][C]142.735[/C][C]-3.7353[/C][/ROW]
[ROW][C]3[/C][C]148[/C][C]147.376[/C][C]0.624151[/C][/ROW]
[ROW][C]4[/C][C]158[/C][C]145.934[/C][C]12.0663[/C][/ROW]
[ROW][C]5[/C][C]128[/C][C]147.11[/C][C]-19.1103[/C][/ROW]
[ROW][C]6[/C][C]224[/C][C]144.464[/C][C]79.5358[/C][/ROW]
[ROW][C]7[/C][C]159[/C][C]151.723[/C][C]7.27684[/C][/ROW]
[ROW][C]8[/C][C]105[/C][C]142.932[/C][C]-37.9324[/C][/ROW]
[ROW][C]9[/C][C]159[/C][C]150.004[/C][C]8.99573[/C][/ROW]
[ROW][C]10[/C][C]167[/C][C]150.288[/C][C]16.7115[/C][/ROW]
[ROW][C]11[/C][C]165[/C][C]150.17[/C][C]14.8302[/C][/ROW]
[ROW][C]12[/C][C]159[/C][C]138.363[/C][C]20.6374[/C][/ROW]
[ROW][C]13[/C][C]119[/C][C]140.735[/C][C]-21.7352[/C][/ROW]
[ROW][C]14[/C][C]176[/C][C]150.319[/C][C]25.6809[/C][/ROW]
[ROW][C]15[/C][C]54[/C][C]154.41[/C][C]-100.41[/C][/ROW]
[ROW][C]16[/C][C]91[/C][C]109.129[/C][C]-18.129[/C][/ROW]
[ROW][C]17[/C][C]163[/C][C]142.373[/C][C]20.6267[/C][/ROW]
[ROW][C]18[/C][C]124[/C][C]154.89[/C][C]-30.8899[/C][/ROW]
[ROW][C]19[/C][C]137[/C][C]101.151[/C][C]35.849[/C][/ROW]
[ROW][C]20[/C][C]121[/C][C]143.709[/C][C]-22.7091[/C][/ROW]
[ROW][C]21[/C][C]153[/C][C]143.06[/C][C]9.94041[/C][/ROW]
[ROW][C]22[/C][C]148[/C][C]144.137[/C][C]3.86324[/C][/ROW]
[ROW][C]23[/C][C]221[/C][C]152.035[/C][C]68.965[/C][/ROW]
[ROW][C]24[/C][C]188[/C][C]136.507[/C][C]51.4929[/C][/ROW]
[ROW][C]25[/C][C]149[/C][C]150.053[/C][C]-1.05307[/C][/ROW]
[ROW][C]26[/C][C]244[/C][C]140.403[/C][C]103.597[/C][/ROW]
[ROW][C]27[/C][C]148[/C][C]109.507[/C][C]38.4928[/C][/ROW]
[ROW][C]28[/C][C]92[/C][C]107.401[/C][C]-15.4014[/C][/ROW]
[ROW][C]29[/C][C]150[/C][C]141.116[/C][C]8.8843[/C][/ROW]
[ROW][C]30[/C][C]153[/C][C]145.857[/C][C]7.14303[/C][/ROW]
[ROW][C]31[/C][C]94[/C][C]148.662[/C][C]-54.6617[/C][/ROW]
[ROW][C]32[/C][C]156[/C][C]147.78[/C][C]8.22029[/C][/ROW]
[ROW][C]33[/C][C]132[/C][C]148.502[/C][C]-16.5021[/C][/ROW]
[ROW][C]34[/C][C]161[/C][C]139.901[/C][C]21.0987[/C][/ROW]
[ROW][C]35[/C][C]105[/C][C]147.226[/C][C]-42.2265[/C][/ROW]
[ROW][C]36[/C][C]97[/C][C]140.509[/C][C]-43.5091[/C][/ROW]
[ROW][C]37[/C][C]151[/C][C]151.096[/C][C]-0.0960161[/C][/ROW]
[ROW][C]38[/C][C]131[/C][C]97.3874[/C][C]33.6126[/C][/ROW]
[ROW][C]39[/C][C]166[/C][C]145.188[/C][C]20.8124[/C][/ROW]
[ROW][C]40[/C][C]157[/C][C]153.604[/C][C]3.39597[/C][/ROW]
[ROW][C]41[/C][C]111[/C][C]146.344[/C][C]-35.3445[/C][/ROW]
[ROW][C]42[/C][C]145[/C][C]140.234[/C][C]4.7663[/C][/ROW]
[ROW][C]43[/C][C]162[/C][C]143.892[/C][C]18.1078[/C][/ROW]
[ROW][C]44[/C][C]163[/C][C]141.116[/C][C]21.8843[/C][/ROW]
[ROW][C]45[/C][C]59[/C][C]96.5507[/C][C]-37.5507[/C][/ROW]
[ROW][C]46[/C][C]187[/C][C]152.085[/C][C]34.9148[/C][/ROW]
[ROW][C]47[/C][C]109[/C][C]137.812[/C][C]-28.8123[/C][/ROW]
[ROW][C]48[/C][C]90[/C][C]95.012[/C][C]-5.01199[/C][/ROW]
[ROW][C]49[/C][C]105[/C][C]153.125[/C][C]-48.1252[/C][/ROW]
[ROW][C]50[/C][C]83[/C][C]105.574[/C][C]-22.5739[/C][/ROW]
[ROW][C]51[/C][C]116[/C][C]99.014[/C][C]16.986[/C][/ROW]
[ROW][C]52[/C][C]42[/C][C]96.0515[/C][C]-54.0515[/C][/ROW]
[ROW][C]53[/C][C]148[/C][C]137.616[/C][C]10.3835[/C][/ROW]
[ROW][C]54[/C][C]155[/C][C]100.367[/C][C]54.6334[/C][/ROW]
[ROW][C]55[/C][C]125[/C][C]142.531[/C][C]-17.5308[/C][/ROW]
[ROW][C]56[/C][C]116[/C][C]144.304[/C][C]-28.3043[/C][/ROW]
[ROW][C]57[/C][C]128[/C][C]106.243[/C][C]21.7568[/C][/ROW]
[ROW][C]58[/C][C]138[/C][C]144.924[/C][C]-6.92378[/C][/ROW]
[ROW][C]59[/C][C]49[/C][C]107.168[/C][C]-58.1684[/C][/ROW]
[ROW][C]60[/C][C]96[/C][C]108.251[/C][C]-12.2509[/C][/ROW]
[ROW][C]61[/C][C]164[/C][C]150.415[/C][C]13.5849[/C][/ROW]
[ROW][C]62[/C][C]162[/C][C]155.468[/C][C]6.53177[/C][/ROW]
[ROW][C]63[/C][C]99[/C][C]145.611[/C][C]-46.6111[/C][/ROW]
[ROW][C]64[/C][C]202[/C][C]138.959[/C][C]63.0406[/C][/ROW]
[ROW][C]65[/C][C]186[/C][C]147.78[/C][C]38.2203[/C][/ROW]
[ROW][C]66[/C][C]66[/C][C]95.0305[/C][C]-29.0305[/C][/ROW]
[ROW][C]67[/C][C]183[/C][C]144.759[/C][C]38.2414[/C][/ROW]
[ROW][C]68[/C][C]214[/C][C]135.006[/C][C]78.9938[/C][/ROW]
[ROW][C]69[/C][C]188[/C][C]146.405[/C][C]41.5951[/C][/ROW]
[ROW][C]70[/C][C]104[/C][C]107.02[/C][C]-3.0196[/C][/ROW]
[ROW][C]71[/C][C]177[/C][C]156.106[/C][C]20.8944[/C][/ROW]
[ROW][C]72[/C][C]126[/C][C]151.114[/C][C]-25.114[/C][/ROW]
[ROW][C]73[/C][C]76[/C][C]110.815[/C][C]-34.8153[/C][/ROW]
[ROW][C]74[/C][C]99[/C][C]100.621[/C][C]-1.62129[/C][/ROW]
[ROW][C]75[/C][C]139[/C][C]149.458[/C][C]-10.4579[/C][/ROW]
[ROW][C]76[/C][C]162[/C][C]153.372[/C][C]8.62767[/C][/ROW]
[ROW][C]77[/C][C]108[/C][C]104.574[/C][C]3.42552[/C][/ROW]
[ROW][C]78[/C][C]159[/C][C]148.515[/C][C]10.4853[/C][/ROW]
[ROW][C]79[/C][C]74[/C][C]105.745[/C][C]-31.7453[/C][/ROW]
[ROW][C]80[/C][C]110[/C][C]148.326[/C][C]-38.3261[/C][/ROW]
[ROW][C]81[/C][C]96[/C][C]110.718[/C][C]-14.7177[/C][/ROW]
[ROW][C]82[/C][C]116[/C][C]107.688[/C][C]8.31211[/C][/ROW]
[ROW][C]83[/C][C]87[/C][C]107.519[/C][C]-20.5188[/C][/ROW]
[ROW][C]84[/C][C]97[/C][C]97.0509[/C][C]-0.0508585[/C][/ROW]
[ROW][C]85[/C][C]127[/C][C]109.983[/C][C]17.0173[/C][/ROW]
[ROW][C]86[/C][C]106[/C][C]105.319[/C][C]0.680769[/C][/ROW]
[ROW][C]87[/C][C]80[/C][C]96.2292[/C][C]-16.2292[/C][/ROW]
[ROW][C]88[/C][C]74[/C][C]106.243[/C][C]-32.2432[/C][/ROW]
[ROW][C]89[/C][C]91[/C][C]110.471[/C][C]-19.4713[/C][/ROW]
[ROW][C]90[/C][C]133[/C][C]108.627[/C][C]24.3731[/C][/ROW]
[ROW][C]91[/C][C]74[/C][C]104.574[/C][C]-30.5745[/C][/ROW]
[ROW][C]92[/C][C]114[/C][C]96.8063[/C][C]17.1937[/C][/ROW]
[ROW][C]93[/C][C]140[/C][C]101.729[/C][C]38.2706[/C][/ROW]
[ROW][C]94[/C][C]95[/C][C]105.861[/C][C]-10.8614[/C][/ROW]
[ROW][C]95[/C][C]98[/C][C]99.5718[/C][C]-1.57177[/C][/ROW]
[ROW][C]96[/C][C]121[/C][C]109.569[/C][C]11.4312[/C][/ROW]
[ROW][C]97[/C][C]126[/C][C]106.437[/C][C]19.5626[/C][/ROW]
[ROW][C]98[/C][C]98[/C][C]102.172[/C][C]-4.17229[/C][/ROW]
[ROW][C]99[/C][C]95[/C][C]102.779[/C][C]-7.77889[/C][/ROW]
[ROW][C]100[/C][C]110[/C][C]98.4637[/C][C]11.5363[/C][/ROW]
[ROW][C]101[/C][C]70[/C][C]97.248[/C][C]-27.248[/C][/ROW]
[ROW][C]102[/C][C]102[/C][C]105.881[/C][C]-3.88125[/C][/ROW]
[ROW][C]103[/C][C]86[/C][C]101.576[/C][C]-15.576[/C][/ROW]
[ROW][C]104[/C][C]130[/C][C]99.2098[/C][C]30.7902[/C][/ROW]
[ROW][C]105[/C][C]96[/C][C]100.367[/C][C]-4.36664[/C][/ROW]
[ROW][C]106[/C][C]102[/C][C]109.386[/C][C]-7.38587[/C][/ROW]
[ROW][C]107[/C][C]100[/C][C]111.543[/C][C]-11.5435[/C][/ROW]
[ROW][C]108[/C][C]94[/C][C]113.935[/C][C]-19.9346[/C][/ROW]
[ROW][C]109[/C][C]52[/C][C]105.391[/C][C]-53.3908[/C][/ROW]
[ROW][C]110[/C][C]98[/C][C]107.264[/C][C]-9.2642[/C][/ROW]
[ROW][C]111[/C][C]118[/C][C]108.343[/C][C]9.65671[/C][/ROW]
[ROW][C]112[/C][C]99[/C][C]98.7083[/C][C]0.291706[/C][/ROW]
[ROW][C]113[/C][C]48[/C][C]127.671[/C][C]-79.6706[/C][/ROW]
[ROW][C]114[/C][C]50[/C][C]122.492[/C][C]-72.492[/C][/ROW]
[ROW][C]115[/C][C]150[/C][C]125.788[/C][C]24.2116[/C][/ROW]
[ROW][C]116[/C][C]154[/C][C]123.129[/C][C]30.8706[/C][/ROW]
[ROW][C]117[/C][C]109[/C][C]102.359[/C][C]6.64066[/C][/ROW]
[ROW][C]118[/C][C]68[/C][C]82.8695[/C][C]-14.8695[/C][/ROW]
[ROW][C]119[/C][C]194[/C][C]135.163[/C][C]58.8374[/C][/ROW]
[ROW][C]120[/C][C]158[/C][C]129.39[/C][C]28.6105[/C][/ROW]
[ROW][C]121[/C][C]159[/C][C]128.297[/C][C]30.703[/C][/ROW]
[ROW][C]122[/C][C]67[/C][C]132.538[/C][C]-65.5378[/C][/ROW]
[ROW][C]123[/C][C]147[/C][C]130.879[/C][C]16.1206[/C][/ROW]
[ROW][C]124[/C][C]39[/C][C]128.934[/C][C]-89.9344[/C][/ROW]
[ROW][C]125[/C][C]100[/C][C]122.981[/C][C]-22.9811[/C][/ROW]
[ROW][C]126[/C][C]111[/C][C]123.63[/C][C]-12.6296[/C][/ROW]
[ROW][C]127[/C][C]138[/C][C]124.845[/C][C]13.1547[/C][/ROW]
[ROW][C]128[/C][C]101[/C][C]123.483[/C][C]-22.4826[/C][/ROW]
[ROW][C]129[/C][C]131[/C][C]87.5775[/C][C]43.4225[/C][/ROW]
[ROW][C]130[/C][C]101[/C][C]129.965[/C][C]-28.9654[/C][/ROW]
[ROW][C]131[/C][C]114[/C][C]125.287[/C][C]-11.2869[/C][/ROW]
[ROW][C]132[/C][C]165[/C][C]134.333[/C][C]30.6666[/C][/ROW]
[ROW][C]133[/C][C]114[/C][C]126.934[/C][C]-12.9343[/C][/ROW]
[ROW][C]134[/C][C]111[/C][C]124.679[/C][C]-13.6791[/C][/ROW]
[ROW][C]135[/C][C]75[/C][C]123.269[/C][C]-48.2688[/C][/ROW]
[ROW][C]136[/C][C]82[/C][C]128.297[/C][C]-46.297[/C][/ROW]
[ROW][C]137[/C][C]121[/C][C]124.65[/C][C]-3.64954[/C][/ROW]
[ROW][C]138[/C][C]32[/C][C]128.73[/C][C]-96.7299[/C][/ROW]
[ROW][C]139[/C][C]150[/C][C]133.037[/C][C]16.963[/C][/ROW]
[ROW][C]140[/C][C]117[/C][C]126.475[/C][C]-9.47471[/C][/ROW]
[ROW][C]141[/C][C]71[/C][C]84.6751[/C][C]-13.6751[/C][/ROW]
[ROW][C]142[/C][C]165[/C][C]119.922[/C][C]45.0778[/C][/ROW]
[ROW][C]143[/C][C]154[/C][C]124.692[/C][C]29.308[/C][/ROW]
[ROW][C]144[/C][C]126[/C][C]124.894[/C][C]1.10586[/C][/ROW]
[ROW][C]145[/C][C]149[/C][C]134.568[/C][C]14.4318[/C][/ROW]
[ROW][C]146[/C][C]145[/C][C]135.774[/C][C]9.22555[/C][/ROW]
[ROW][C]147[/C][C]120[/C][C]125.64[/C][C]-5.64021[/C][/ROW]
[ROW][C]148[/C][C]109[/C][C]135.089[/C][C]-26.0895[/C][/ROW]
[ROW][C]149[/C][C]132[/C][C]134.659[/C][C]-2.65944[/C][/ROW]
[ROW][C]150[/C][C]172[/C][C]126.288[/C][C]45.7123[/C][/ROW]
[ROW][C]151[/C][C]169[/C][C]131.381[/C][C]37.6191[/C][/ROW]
[ROW][C]152[/C][C]114[/C][C]133.557[/C][C]-19.5566[/C][/ROW]
[ROW][C]153[/C][C]156[/C][C]131.092[/C][C]24.908[/C][/ROW]
[ROW][C]154[/C][C]172[/C][C]131.743[/C][C]40.2571[/C][/ROW]
[ROW][C]155[/C][C]68[/C][C]85.832[/C][C]-17.832[/C][/ROW]
[ROW][C]156[/C][C]89[/C][C]81.83[/C][C]7.16998[/C][/ROW]
[ROW][C]157[/C][C]167[/C][C]129.602[/C][C]37.3979[/C][/ROW]
[ROW][C]158[/C][C]113[/C][C]137.108[/C][C]-24.1076[/C][/ROW]
[ROW][C]159[/C][C]115[/C][C]99.8089[/C][C]15.1911[/C][/ROW]
[ROW][C]160[/C][C]78[/C][C]93.6129[/C][C]-15.6129[/C][/ROW]
[ROW][C]161[/C][C]118[/C][C]98.2887[/C][C]19.7113[/C][/ROW]
[ROW][C]162[/C][C]87[/C][C]86.1637[/C][C]0.836276[/C][/ROW]
[ROW][C]163[/C][C]173[/C][C]137.266[/C][C]35.7344[/C][/ROW]
[ROW][C]164[/C][C]2[/C][C]126.445[/C][C]-124.445[/C][/ROW]
[ROW][C]165[/C][C]162[/C][C]97.6822[/C][C]64.3178[/C][/ROW]
[ROW][C]166[/C][C]49[/C][C]81.2221[/C][C]-32.2221[/C][/ROW]
[ROW][C]167[/C][C]122[/C][C]97.6513[/C][C]24.3487[/C][/ROW]
[ROW][C]168[/C][C]96[/C][C]84.3118[/C][C]11.6882[/C][/ROW]
[ROW][C]169[/C][C]100[/C][C]88.9036[/C][C]11.0964[/C][/ROW]
[ROW][C]170[/C][C]82[/C][C]91.1786[/C][C]-9.17856[/C][/ROW]
[ROW][C]171[/C][C]100[/C][C]90.5092[/C][C]9.4908[/C][/ROW]
[ROW][C]172[/C][C]115[/C][C]91.4052[/C][C]23.5948[/C][/ROW]
[ROW][C]173[/C][C]141[/C][C]99.2976[/C][C]41.7024[/C][/ROW]
[ROW][C]174[/C][C]165[/C][C]126.807[/C][C]38.1929[/C][/ROW]
[ROW][C]175[/C][C]165[/C][C]126.807[/C][C]38.1929[/C][/ROW]
[ROW][C]176[/C][C]110[/C][C]79.5537[/C][C]30.4463[/C][/ROW]
[ROW][C]177[/C][C]118[/C][C]123.081[/C][C]-5.08055[/C][/ROW]
[ROW][C]178[/C][C]158[/C][C]131.528[/C][C]26.4721[/C][/ROW]
[ROW][C]179[/C][C]146[/C][C]85.2049[/C][C]60.7951[/C][/ROW]
[ROW][C]180[/C][C]49[/C][C]133.537[/C][C]-84.5372[/C][/ROW]
[ROW][C]181[/C][C]90[/C][C]93.1211[/C][C]-3.12114[/C][/ROW]
[ROW][C]182[/C][C]121[/C][C]91.5626[/C][C]29.4374[/C][/ROW]
[ROW][C]183[/C][C]155[/C][C]135.596[/C][C]19.4045[/C][/ROW]
[ROW][C]184[/C][C]104[/C][C]95.5053[/C][C]8.49468[/C][/ROW]
[ROW][C]185[/C][C]147[/C][C]86.7559[/C][C]60.2441[/C][/ROW]
[ROW][C]186[/C][C]110[/C][C]98.3183[/C][C]11.6817[/C][/ROW]
[ROW][C]187[/C][C]108[/C][C]98.3183[/C][C]9.68168[/C][/ROW]
[ROW][C]188[/C][C]113[/C][C]98.3183[/C][C]14.6817[/C][/ROW]
[ROW][C]189[/C][C]115[/C][C]98.3183[/C][C]16.6817[/C][/ROW]
[ROW][C]190[/C][C]61[/C][C]93.0804[/C][C]-32.0804[/C][/ROW]
[ROW][C]191[/C][C]60[/C][C]88.5962[/C][C]-28.5962[/C][/ROW]
[ROW][C]192[/C][C]109[/C][C]80.5277[/C][C]28.4723[/C][/ROW]
[ROW][C]193[/C][C]68[/C][C]79.7508[/C][C]-11.7508[/C][/ROW]
[ROW][C]194[/C][C]111[/C][C]90.3953[/C][C]20.6047[/C][/ROW]
[ROW][C]195[/C][C]77[/C][C]95.7203[/C][C]-18.7203[/C][/ROW]
[ROW][C]196[/C][C]73[/C][C]91.1466[/C][C]-18.1466[/C][/ROW]
[ROW][C]197[/C][C]151[/C][C]141.561[/C][C]9.43906[/C][/ROW]
[ROW][C]198[/C][C]89[/C][C]87.8181[/C][C]1.18188[/C][/ROW]
[ROW][C]199[/C][C]78[/C][C]88.3938[/C][C]-10.3938[/C][/ROW]
[ROW][C]200[/C][C]110[/C][C]93.6802[/C][C]16.3198[/C][/ROW]
[ROW][C]201[/C][C]220[/C][C]128.297[/C][C]91.703[/C][/ROW]
[ROW][C]202[/C][C]65[/C][C]89.9797[/C][C]-24.9797[/C][/ROW]
[ROW][C]203[/C][C]141[/C][C]129.341[/C][C]11.6593[/C][/ROW]
[ROW][C]204[/C][C]117[/C][C]90.6992[/C][C]26.3008[/C][/ROW]
[ROW][C]205[/C][C]122[/C][C]126.934[/C][C]-4.93432[/C][/ROW]
[ROW][C]206[/C][C]63[/C][C]90.9037[/C][C]-27.9037[/C][/ROW]
[ROW][C]207[/C][C]44[/C][C]118.373[/C][C]-74.3726[/C][/ROW]
[ROW][C]208[/C][C]52[/C][C]84.5256[/C][C]-32.5256[/C][/ROW]
[ROW][C]209[/C][C]131[/C][C]88.8188[/C][C]42.1812[/C][/ROW]
[ROW][C]210[/C][C]101[/C][C]85.0579[/C][C]15.9421[/C][/ROW]
[ROW][C]211[/C][C]42[/C][C]88.9903[/C][C]-46.9903[/C][/ROW]
[ROW][C]212[/C][C]152[/C][C]124.237[/C][C]27.7626[/C][/ROW]
[ROW][C]213[/C][C]107[/C][C]127.969[/C][C]-20.9688[/C][/ROW]
[ROW][C]214[/C][C]77[/C][C]86.8146[/C][C]-9.81457[/C][/ROW]
[ROW][C]215[/C][C]154[/C][C]139.51[/C][C]14.4902[/C][/ROW]
[ROW][C]216[/C][C]103[/C][C]126.573[/C][C]-23.5729[/C][/ROW]
[ROW][C]217[/C][C]96[/C][C]88.2162[/C][C]7.7838[/C][/ROW]
[ROW][C]218[/C][C]175[/C][C]123.493[/C][C]51.5073[/C][/ROW]
[ROW][C]219[/C][C]57[/C][C]88.3812[/C][C]-31.3812[/C][/ROW]
[ROW][C]220[/C][C]112[/C][C]100.691[/C][C]11.3091[/C][/ROW]
[ROW][C]221[/C][C]143[/C][C]131.498[/C][C]11.5017[/C][/ROW]
[ROW][C]222[/C][C]49[/C][C]87.3649[/C][C]-38.3649[/C][/ROW]
[ROW][C]223[/C][C]110[/C][C]135.438[/C][C]-25.4375[/C][/ROW]
[ROW][C]224[/C][C]131[/C][C]129.349[/C][C]1.6512[/C][/ROW]
[ROW][C]225[/C][C]167[/C][C]132.067[/C][C]34.9329[/C][/ROW]
[ROW][C]226[/C][C]56[/C][C]96.3771[/C][C]-40.3771[/C][/ROW]
[ROW][C]227[/C][C]137[/C][C]128.86[/C][C]8.14002[/C][/ROW]
[ROW][C]228[/C][C]86[/C][C]83.7615[/C][C]2.23846[/C][/ROW]
[ROW][C]229[/C][C]121[/C][C]129.848[/C][C]-8.84804[/C][/ROW]
[ROW][C]230[/C][C]149[/C][C]134.833[/C][C]14.1674[/C][/ROW]
[ROW][C]231[/C][C]168[/C][C]131.59[/C][C]36.4104[/C][/ROW]
[ROW][C]232[/C][C]140[/C][C]126.82[/C][C]13.1802[/C][/ROW]
[ROW][C]233[/C][C]88[/C][C]84.281[/C][C]3.71899[/C][/ROW]
[ROW][C]234[/C][C]168[/C][C]124.777[/C][C]43.2233[/C][/ROW]
[ROW][C]235[/C][C]94[/C][C]124.692[/C][C]-30.692[/C][/ROW]
[ROW][C]236[/C][C]51[/C][C]128.934[/C][C]-77.9344[/C][/ROW]
[ROW][C]237[/C][C]48[/C][C]93.9248[/C][C]-45.9248[/C][/ROW]
[ROW][C]238[/C][C]145[/C][C]124.239[/C][C]20.7613[/C][/ROW]
[ROW][C]239[/C][C]66[/C][C]124.692[/C][C]-58.692[/C][/ROW]
[ROW][C]240[/C][C]85[/C][C]84.2055[/C][C]0.794536[/C][/ROW]
[ROW][C]241[/C][C]109[/C][C]133.949[/C][C]-24.9493[/C][/ROW]
[ROW][C]242[/C][C]63[/C][C]89.914[/C][C]-26.914[/C][/ROW]
[ROW][C]243[/C][C]102[/C][C]87.3219[/C][C]14.6781[/C][/ROW]
[ROW][C]244[/C][C]162[/C][C]97.6822[/C][C]64.3178[/C][/ROW]
[ROW][C]245[/C][C]86[/C][C]90.7538[/C][C]-4.75379[/C][/ROW]
[ROW][C]246[/C][C]114[/C][C]85.7819[/C][C]28.2181[/C][/ROW]
[ROW][C]247[/C][C]164[/C][C]134.176[/C][C]29.8241[/C][/ROW]
[ROW][C]248[/C][C]119[/C][C]130.987[/C][C]-11.9869[/C][/ROW]
[ROW][C]249[/C][C]126[/C][C]132.655[/C][C]-6.65517[/C][/ROW]
[ROW][C]250[/C][C]132[/C][C]122.324[/C][C]9.67558[/C][/ROW]
[ROW][C]251[/C][C]142[/C][C]127.915[/C][C]14.0848[/C][/ROW]
[ROW][C]252[/C][C]83[/C][C]133.617[/C][C]-50.6169[/C][/ROW]
[ROW][C]253[/C][C]94[/C][C]89.8723[/C][C]4.12768[/C][/ROW]
[ROW][C]254[/C][C]81[/C][C]90.3953[/C][C]-9.39526[/C][/ROW]
[ROW][C]255[/C][C]166[/C][C]131.122[/C][C]34.8777[/C][/ROW]
[ROW][C]256[/C][C]110[/C][C]96.3757[/C][C]13.6243[/C][/ROW]
[ROW][C]257[/C][C]64[/C][C]89.0186[/C][C]-25.0186[/C][/ROW]
[ROW][C]258[/C][C]93[/C][C]136.884[/C][C]-43.8838[/C][/ROW]
[ROW][C]259[/C][C]104[/C][C]93.5628[/C][C]10.4372[/C][/ROW]
[ROW][C]260[/C][C]105[/C][C]83.0165[/C][C]21.9835[/C][/ROW]
[ROW][C]261[/C][C]49[/C][C]81.2221[/C][C]-32.2221[/C][/ROW]
[ROW][C]262[/C][C]88[/C][C]96.3757[/C][C]-8.37575[/C][/ROW]
[ROW][C]263[/C][C]95[/C][C]84.9912[/C][C]10.0088[/C][/ROW]
[ROW][C]264[/C][C]102[/C][C]87.3219[/C][C]14.6781[/C][/ROW]
[ROW][C]265[/C][C]99[/C][C]93.6129[/C][C]5.38712[/C][/ROW]
[ROW][C]266[/C][C]63[/C][C]77.5636[/C][C]-14.5636[/C][/ROW]
[ROW][C]267[/C][C]76[/C][C]96.9569[/C][C]-20.9569[/C][/ROW]
[ROW][C]268[/C][C]109[/C][C]90.9147[/C][C]18.0853[/C][/ROW]
[ROW][C]269[/C][C]117[/C][C]90.9316[/C][C]26.0684[/C][/ROW]
[ROW][C]270[/C][C]57[/C][C]90.7859[/C][C]-33.7859[/C][/ROW]
[ROW][C]271[/C][C]120[/C][C]92.5634[/C][C]27.4366[/C][/ROW]
[ROW][C]272[/C][C]73[/C][C]84.0364[/C][C]-11.0364[/C][/ROW]
[ROW][C]273[/C][C]91[/C][C]87.8181[/C][C]3.18188[/C][/ROW]
[ROW][C]274[/C][C]108[/C][C]95.4938[/C][C]12.5062[/C][/ROW]
[ROW][C]275[/C][C]105[/C][C]84.3106[/C][C]20.6894[/C][/ROW]
[ROW][C]276[/C][C]117[/C][C]136.774[/C][C]-19.7739[/C][/ROW]
[ROW][C]277[/C][C]119[/C][C]96.3771[/C][C]22.6229[/C][/ROW]
[ROW][C]278[/C][C]31[/C][C]95.4927[/C][C]-64.4927[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275225&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275225&T=4

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	149	153.272	-4.27161
2	139	142.735	-3.7353
3	148	147.376	0.624151
4	158	145.934	12.0663
5	128	147.11	-19.1103
6	224	144.464	79.5358
7	159	151.723	7.27684
8	105	142.932	-37.9324
9	159	150.004	8.99573
10	167	150.288	16.7115
11	165	150.17	14.8302
12	159	138.363	20.6374
13	119	140.735	-21.7352
14	176	150.319	25.6809
15	54	154.41	-100.41
16	91	109.129	-18.129
17	163	142.373	20.6267
18	124	154.89	-30.8899
19	137	101.151	35.849
20	121	143.709	-22.7091
21	153	143.06	9.94041
22	148	144.137	3.86324
23	221	152.035	68.965
24	188	136.507	51.4929
25	149	150.053	-1.05307
26	244	140.403	103.597
27	148	109.507	38.4928
28	92	107.401	-15.4014
29	150	141.116	8.8843
30	153	145.857	7.14303
31	94	148.662	-54.6617
32	156	147.78	8.22029
33	132	148.502	-16.5021
34	161	139.901	21.0987
35	105	147.226	-42.2265
36	97	140.509	-43.5091
37	151	151.096	-0.0960161
38	131	97.3874	33.6126
39	166	145.188	20.8124
40	157	153.604	3.39597
41	111	146.344	-35.3445
42	145	140.234	4.7663
43	162	143.892	18.1078
44	163	141.116	21.8843
45	59	96.5507	-37.5507
46	187	152.085	34.9148
47	109	137.812	-28.8123
48	90	95.012	-5.01199
49	105	153.125	-48.1252
50	83	105.574	-22.5739
51	116	99.014	16.986
52	42	96.0515	-54.0515
53	148	137.616	10.3835
54	155	100.367	54.6334
55	125	142.531	-17.5308
56	116	144.304	-28.3043
57	128	106.243	21.7568
58	138	144.924	-6.92378
59	49	107.168	-58.1684
60	96	108.251	-12.2509
61	164	150.415	13.5849
62	162	155.468	6.53177
63	99	145.611	-46.6111
64	202	138.959	63.0406
65	186	147.78	38.2203
66	66	95.0305	-29.0305
67	183	144.759	38.2414
68	214	135.006	78.9938
69	188	146.405	41.5951
70	104	107.02	-3.0196
71	177	156.106	20.8944
72	126	151.114	-25.114
73	76	110.815	-34.8153
74	99	100.621	-1.62129
75	139	149.458	-10.4579
76	162	153.372	8.62767
77	108	104.574	3.42552
78	159	148.515	10.4853
79	74	105.745	-31.7453
80	110	148.326	-38.3261
81	96	110.718	-14.7177
82	116	107.688	8.31211
83	87	107.519	-20.5188
84	97	97.0509	-0.0508585
85	127	109.983	17.0173
86	106	105.319	0.680769
87	80	96.2292	-16.2292
88	74	106.243	-32.2432
89	91	110.471	-19.4713
90	133	108.627	24.3731
91	74	104.574	-30.5745
92	114	96.8063	17.1937
93	140	101.729	38.2706
94	95	105.861	-10.8614
95	98	99.5718	-1.57177
96	121	109.569	11.4312
97	126	106.437	19.5626
98	98	102.172	-4.17229
99	95	102.779	-7.77889
100	110	98.4637	11.5363
101	70	97.248	-27.248
102	102	105.881	-3.88125
103	86	101.576	-15.576
104	130	99.2098	30.7902
105	96	100.367	-4.36664
106	102	109.386	-7.38587
107	100	111.543	-11.5435
108	94	113.935	-19.9346
109	52	105.391	-53.3908
110	98	107.264	-9.2642
111	118	108.343	9.65671
112	99	98.7083	0.291706
113	48	127.671	-79.6706
114	50	122.492	-72.492
115	150	125.788	24.2116
116	154	123.129	30.8706
117	109	102.359	6.64066
118	68	82.8695	-14.8695
119	194	135.163	58.8374
120	158	129.39	28.6105
121	159	128.297	30.703
122	67	132.538	-65.5378
123	147	130.879	16.1206
124	39	128.934	-89.9344
125	100	122.981	-22.9811
126	111	123.63	-12.6296
127	138	124.845	13.1547
128	101	123.483	-22.4826
129	131	87.5775	43.4225
130	101	129.965	-28.9654
131	114	125.287	-11.2869
132	165	134.333	30.6666
133	114	126.934	-12.9343
134	111	124.679	-13.6791
135	75	123.269	-48.2688
136	82	128.297	-46.297
137	121	124.65	-3.64954
138	32	128.73	-96.7299
139	150	133.037	16.963
140	117	126.475	-9.47471
141	71	84.6751	-13.6751
142	165	119.922	45.0778
143	154	124.692	29.308
144	126	124.894	1.10586
145	149	134.568	14.4318
146	145	135.774	9.22555
147	120	125.64	-5.64021
148	109	135.089	-26.0895
149	132	134.659	-2.65944
150	172	126.288	45.7123
151	169	131.381	37.6191
152	114	133.557	-19.5566
153	156	131.092	24.908
154	172	131.743	40.2571
155	68	85.832	-17.832
156	89	81.83	7.16998
157	167	129.602	37.3979
158	113	137.108	-24.1076
159	115	99.8089	15.1911
160	78	93.6129	-15.6129
161	118	98.2887	19.7113
162	87	86.1637	0.836276
163	173	137.266	35.7344
164	2	126.445	-124.445
165	162	97.6822	64.3178
166	49	81.2221	-32.2221
167	122	97.6513	24.3487
168	96	84.3118	11.6882
169	100	88.9036	11.0964
170	82	91.1786	-9.17856
171	100	90.5092	9.4908
172	115	91.4052	23.5948
173	141	99.2976	41.7024
174	165	126.807	38.1929
175	165	126.807	38.1929
176	110	79.5537	30.4463
177	118	123.081	-5.08055
178	158	131.528	26.4721
179	146	85.2049	60.7951
180	49	133.537	-84.5372
181	90	93.1211	-3.12114
182	121	91.5626	29.4374
183	155	135.596	19.4045
184	104	95.5053	8.49468
185	147	86.7559	60.2441
186	110	98.3183	11.6817
187	108	98.3183	9.68168
188	113	98.3183	14.6817
189	115	98.3183	16.6817
190	61	93.0804	-32.0804
191	60	88.5962	-28.5962
192	109	80.5277	28.4723
193	68	79.7508	-11.7508
194	111	90.3953	20.6047
195	77	95.7203	-18.7203
196	73	91.1466	-18.1466
197	151	141.561	9.43906
198	89	87.8181	1.18188
199	78	88.3938	-10.3938
200	110	93.6802	16.3198
201	220	128.297	91.703
202	65	89.9797	-24.9797
203	141	129.341	11.6593
204	117	90.6992	26.3008
205	122	126.934	-4.93432
206	63	90.9037	-27.9037
207	44	118.373	-74.3726
208	52	84.5256	-32.5256
209	131	88.8188	42.1812
210	101	85.0579	15.9421
211	42	88.9903	-46.9903
212	152	124.237	27.7626
213	107	127.969	-20.9688
214	77	86.8146	-9.81457
215	154	139.51	14.4902
216	103	126.573	-23.5729
217	96	88.2162	7.7838
218	175	123.493	51.5073
219	57	88.3812	-31.3812
220	112	100.691	11.3091
221	143	131.498	11.5017
222	49	87.3649	-38.3649
223	110	135.438	-25.4375
224	131	129.349	1.6512
225	167	132.067	34.9329
226	56	96.3771	-40.3771
227	137	128.86	8.14002
228	86	83.7615	2.23846
229	121	129.848	-8.84804
230	149	134.833	14.1674
231	168	131.59	36.4104
232	140	126.82	13.1802
233	88	84.281	3.71899
234	168	124.777	43.2233
235	94	124.692	-30.692
236	51	128.934	-77.9344
237	48	93.9248	-45.9248
238	145	124.239	20.7613
239	66	124.692	-58.692
240	85	84.2055	0.794536
241	109	133.949	-24.9493
242	63	89.914	-26.914
243	102	87.3219	14.6781
244	162	97.6822	64.3178
245	86	90.7538	-4.75379
246	114	85.7819	28.2181
247	164	134.176	29.8241
248	119	130.987	-11.9869
249	126	132.655	-6.65517
250	132	122.324	9.67558
251	142	127.915	14.0848
252	83	133.617	-50.6169
253	94	89.8723	4.12768
254	81	90.3953	-9.39526
255	166	131.122	34.8777
256	110	96.3757	13.6243
257	64	89.0186	-25.0186
258	93	136.884	-43.8838
259	104	93.5628	10.4372
260	105	83.0165	21.9835
261	49	81.2221	-32.2221
262	88	96.3757	-8.37575
263	95	84.9912	10.0088
264	102	87.3219	14.6781
265	99	93.6129	5.38712
266	63	77.5636	-14.5636
267	76	96.9569	-20.9569
268	109	90.9147	18.0853
269	117	90.9316	26.0684
270	57	90.7859	-33.7859
271	120	92.5634	27.4366
272	73	84.0364	-11.0364
273	91	87.8181	3.18188
274	108	95.4938	12.5062
275	105	84.3106	20.6894
276	117	136.774	-19.7739
277	119	96.3771	22.6229
278	31	95.4927	-64.4927

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
12	0.313712	0.627424	0.686288
13	0.190333	0.380665	0.809667
14	0.0991467	0.198293	0.900853
15	0.942885	0.11423	0.0571151
16	0.906234	0.187532	0.0937659
17	0.870023	0.259954	0.129977
18	0.815799	0.368401	0.184201
19	0.800985	0.39803	0.199015
20	0.775794	0.448412	0.224206
21	0.74119	0.51762	0.25881
22	0.671952	0.656096	0.328048
23	0.883651	0.232699	0.116349
24	0.863124	0.273752	0.136876
25	0.85384	0.292321	0.14616
26	0.946547	0.106906	0.0534528
27	0.962437	0.0751257	0.0375628
28	0.949153	0.101694	0.0508469
29	0.931691	0.136617	0.0683086
30	0.914089	0.171821	0.0859107
31	0.935359	0.129281	0.0646406
32	0.921802	0.156397	0.0781984
33	0.903238	0.193524	0.096762
34	0.878488	0.243024	0.121512
35	0.891096	0.217807	0.108904
36	0.890245	0.219511	0.109755
37	0.862101	0.275797	0.137899
38	0.835348	0.329304	0.164652
39	0.815989	0.368022	0.184011
40	0.813805	0.37239	0.186195
41	0.80468	0.39064	0.19532
42	0.767744	0.464513	0.232256
43	0.732497	0.535007	0.267503
44	0.704582	0.590835	0.295418
45	0.767681	0.464639	0.232319
46	0.819294	0.361412	0.180706
47	0.863174	0.273652	0.136826
48	0.84185	0.316299	0.15815
49	0.87607	0.24786	0.12393
50	0.856246	0.287508	0.143754
51	0.83437	0.331261	0.16563
52	0.887127	0.225746	0.112873
53	0.864353	0.271294	0.135647
54	0.891633	0.216733	0.108367
55	0.883367	0.233266	0.116633
56	0.8726	0.254799	0.1274
57	0.869557	0.260887	0.130443
58	0.852903	0.294194	0.147097
59	0.890739	0.218523	0.109261
60	0.870659	0.258683	0.129341
61	0.851475	0.29705	0.148525
62	0.829048	0.341903	0.170952
63	0.832134	0.335733	0.167866
64	0.876346	0.247309	0.123654
65	0.88631	0.22738	0.11369
66	0.878809	0.242381	0.121191
67	0.88992	0.220159	0.11008
68	0.94112	0.11776	0.0588802
69	0.946861	0.106277	0.0531385
70	0.935753	0.128495	0.0642474
71	0.932324	0.135352	0.067676
72	0.922715	0.154571	0.0772853
73	0.914767	0.170467	0.0852334
74	0.898204	0.203591	0.101796
75	0.880619	0.238762	0.119381
76	0.862432	0.275135	0.137568
77	0.841141	0.317718	0.158859
78	0.821637	0.356726	0.178363
79	0.807733	0.384535	0.192267
80	0.819548	0.360903	0.180452
81	0.794919	0.410161	0.205081
82	0.772381	0.455239	0.227619
83	0.74607	0.50786	0.25393
84	0.714694	0.570613	0.285306
85	0.699615	0.600769	0.300385
86	0.666354	0.667291	0.333646
87	0.642535	0.714929	0.357465
88	0.622591	0.754818	0.377409
89	0.591167	0.817667	0.408833
90	0.589568	0.820865	0.410432
91	0.574383	0.851234	0.425617
92	0.548057	0.903885	0.451943
93	0.558088	0.883824	0.441912
94	0.522356	0.955287	0.477644
95	0.487981	0.975962	0.512019
96	0.460385	0.92077	0.539615
97	0.442889	0.885778	0.557111
98	0.406628	0.813255	0.593372
99	0.371763	0.743526	0.628237
100	0.344873	0.689746	0.655127
101	0.3315	0.663	0.6685
102	0.300979	0.601959	0.699021
103	0.282261	0.564522	0.717739
104	0.283052	0.566105	0.716948
105	0.258495	0.516991	0.741505
106	0.229974	0.459948	0.770026
107	0.20317	0.406341	0.79683
108	0.179424	0.358848	0.820576
109	0.203695	0.407389	0.796305
110	0.179991	0.359981	0.820009
111	0.164164	0.328328	0.835836
112	0.142761	0.285522	0.857239
113	0.161161	0.322323	0.838839
114	0.181658	0.363316	0.818342
115	0.267459	0.534917	0.732541
116	0.325587	0.651173	0.674413
117	0.345554	0.691107	0.654446
118	0.314271	0.628541	0.685729
119	0.40553	0.811061	0.59447
120	0.410024	0.820048	0.589976
121	0.402913	0.805827	0.597087
122	0.497221	0.994443	0.502779
123	0.473215	0.946429	0.526785
124	0.674115	0.65177	0.325885
125	0.651274	0.697453	0.348726
126	0.620058	0.759885	0.379942
127	0.596674	0.806652	0.403326
128	0.57098	0.858039	0.42902
129	0.617433	0.765133	0.382567
130	0.60205	0.795901	0.39795
131	0.570227	0.859546	0.429773
132	0.5777	0.8446	0.4223
133	0.545422	0.909157	0.454578
134	0.513825	0.97235	0.486175
135	0.542382	0.915236	0.457618
136	0.559791	0.880417	0.440209
137	0.526683	0.946633	0.473317
138	0.738157	0.523686	0.261843
139	0.725551	0.548898	0.274449
140	0.69785	0.604299	0.30215
141	0.672138	0.655724	0.327862
142	0.704125	0.59175	0.295875
143	0.703674	0.592652	0.296326
144	0.673484	0.653033	0.326516
145	0.652562	0.694877	0.347438
146	0.627272	0.745455	0.372728
147	0.593574	0.812852	0.406426
148	0.577702	0.844597	0.422298
149	0.543891	0.912218	0.456109
150	0.579863	0.840275	0.420137
151	0.594903	0.810195	0.405097
152	0.571203	0.857593	0.428797
153	0.563241	0.873517	0.436759
154	0.585959	0.828081	0.414041
155	0.562375	0.87525	0.437625
156	0.531292	0.937415	0.468708
157	0.544865	0.91027	0.455135
158	0.525497	0.949006	0.474503
159	0.504009	0.991983	0.495991
160	0.486321	0.972642	0.513679
161	0.468197	0.936393	0.531803
162	0.433461	0.866922	0.566539
163	0.438677	0.877353	0.561323
164	0.854293	0.291413	0.145707
165	0.897357	0.205286	0.102643
166	0.898257	0.203486	0.101743
167	0.890847	0.218306	0.109153
168	0.876151	0.247698	0.123849
169	0.858683	0.282633	0.141317
170	0.840986	0.318029	0.159014
171	0.819712	0.360576	0.180288
172	0.806843	0.386314	0.193157
173	0.820447	0.359106	0.179553
174	0.824133	0.351733	0.175867
175	0.829313	0.341373	0.170687
176	0.827886	0.344229	0.172114
177	0.803622	0.392756	0.196378
178	0.799798	0.400405	0.200202
179	0.85649	0.287019	0.14351
180	0.942981	0.114038	0.0570192
181	0.931667	0.136665	0.0683327
182	0.927176	0.145648	0.072824
183	0.917156	0.165689	0.0828443
184	0.903176	0.193648	0.0968239
185	0.935481	0.129037	0.0645187
186	0.924394	0.151212	0.0756058
187	0.911499	0.177002	0.0885008
188	0.899574	0.200853	0.100426
189	0.888632	0.222737	0.111368
190	0.881901	0.236198	0.118099
191	0.874047	0.251906	0.125953
192	0.866679	0.266642	0.133321
193	0.847182	0.305637	0.152818
194	0.837255	0.32549	0.162745
195	0.819594	0.360812	0.180406
196	0.799209	0.401582	0.200791
197	0.772067	0.455865	0.227933
198	0.741388	0.517225	0.258612
199	0.71105	0.5779	0.28895
200	0.685518	0.628964	0.314482
201	0.901428	0.197144	0.0985722
202	0.889776	0.220447	0.110224
203	0.871039	0.257922	0.128961
204	0.856386	0.287228	0.143614
205	0.831875	0.33625	0.168125
206	0.825597	0.348805	0.174403
207	0.915606	0.168788	0.0843939
208	0.916903	0.166193	0.0830966
209	0.936997	0.126006	0.0630032
210	0.924311	0.151378	0.0756889
211	0.937799	0.124403	0.0622015
212	0.931989	0.136022	0.068011
213	0.921094	0.157811	0.0789056
214	0.90733	0.185341	0.0926705
215	0.897465	0.205071	0.102535
216	0.879937	0.240125	0.120063
217	0.857801	0.284398	0.142199
218	0.892282	0.215435	0.107718
219	0.882956	0.234089	0.117044
220	0.864701	0.270598	0.135299
221	0.842163	0.315673	0.157837
222	0.887144	0.225712	0.112856
223	0.867218	0.265564	0.132782
224	0.839867	0.320266	0.160133
225	0.839961	0.320079	0.160039
226	0.857259	0.285482	0.142741
227	0.828148	0.343703	0.171852
228	0.795494	0.409012	0.204506
229	0.759134	0.481732	0.240866
230	0.732757	0.534485	0.267243
231	0.824207	0.351586	0.175793
232	0.794272	0.411456	0.205728
233	0.756318	0.487364	0.243682
234	0.809557	0.380886	0.190443
235	0.780106	0.439788	0.219894
236	0.870164	0.259673	0.129836
237	0.92112	0.15776	0.07888
238	0.917064	0.165873	0.0829363
239	0.913137	0.173725	0.0868627
240	0.887537	0.224926	0.112463
241	0.869636	0.260728	0.130364
242	0.88878	0.22244	0.11122
243	0.862905	0.274191	0.137095
244	0.968366	0.0632673	0.0316336
245	0.958127	0.083746	0.041873
246	0.944657	0.110687	0.0553434
247	0.951451	0.0970973	0.0485486
248	0.931971	0.136058	0.0680289
249	0.907905	0.18419	0.0920951
250	0.874904	0.250192	0.125096
251	0.835336	0.329327	0.164664
252	0.855084	0.289832	0.144916
253	0.817919	0.364162	0.182081
254	0.785544	0.428912	0.214456
255	0.939688	0.120624	0.0603119
256	0.909062	0.181876	0.0909379
257	0.883556	0.232888	0.116444
258	0.833848	0.332304	0.166152
259	0.765723	0.468553	0.234277
260	0.688982	0.622036	0.311018
261	0.682531	0.634937	0.317469
262	0.621159	0.757683	0.378841
263	0.62177	0.756459	0.37823
264	0.519478	0.961043	0.480522
265	0.3807	0.7614	0.6193
266	0.353424	0.706848	0.646576

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
12 & 0.313712 & 0.627424 & 0.686288 \tabularnewline
13 & 0.190333 & 0.380665 & 0.809667 \tabularnewline
14 & 0.0991467 & 0.198293 & 0.900853 \tabularnewline
15 & 0.942885 & 0.11423 & 0.0571151 \tabularnewline
16 & 0.906234 & 0.187532 & 0.0937659 \tabularnewline
17 & 0.870023 & 0.259954 & 0.129977 \tabularnewline
18 & 0.815799 & 0.368401 & 0.184201 \tabularnewline
19 & 0.800985 & 0.39803 & 0.199015 \tabularnewline
20 & 0.775794 & 0.448412 & 0.224206 \tabularnewline
21 & 0.74119 & 0.51762 & 0.25881 \tabularnewline
22 & 0.671952 & 0.656096 & 0.328048 \tabularnewline
23 & 0.883651 & 0.232699 & 0.116349 \tabularnewline
24 & 0.863124 & 0.273752 & 0.136876 \tabularnewline
25 & 0.85384 & 0.292321 & 0.14616 \tabularnewline
26 & 0.946547 & 0.106906 & 0.0534528 \tabularnewline
27 & 0.962437 & 0.0751257 & 0.0375628 \tabularnewline
28 & 0.949153 & 0.101694 & 0.0508469 \tabularnewline
29 & 0.931691 & 0.136617 & 0.0683086 \tabularnewline
30 & 0.914089 & 0.171821 & 0.0859107 \tabularnewline
31 & 0.935359 & 0.129281 & 0.0646406 \tabularnewline
32 & 0.921802 & 0.156397 & 0.0781984 \tabularnewline
33 & 0.903238 & 0.193524 & 0.096762 \tabularnewline
34 & 0.878488 & 0.243024 & 0.121512 \tabularnewline
35 & 0.891096 & 0.217807 & 0.108904 \tabularnewline
36 & 0.890245 & 0.219511 & 0.109755 \tabularnewline
37 & 0.862101 & 0.275797 & 0.137899 \tabularnewline
38 & 0.835348 & 0.329304 & 0.164652 \tabularnewline
39 & 0.815989 & 0.368022 & 0.184011 \tabularnewline
40 & 0.813805 & 0.37239 & 0.186195 \tabularnewline
41 & 0.80468 & 0.39064 & 0.19532 \tabularnewline
42 & 0.767744 & 0.464513 & 0.232256 \tabularnewline
43 & 0.732497 & 0.535007 & 0.267503 \tabularnewline
44 & 0.704582 & 0.590835 & 0.295418 \tabularnewline
45 & 0.767681 & 0.464639 & 0.232319 \tabularnewline
46 & 0.819294 & 0.361412 & 0.180706 \tabularnewline
47 & 0.863174 & 0.273652 & 0.136826 \tabularnewline
48 & 0.84185 & 0.316299 & 0.15815 \tabularnewline
49 & 0.87607 & 0.24786 & 0.12393 \tabularnewline
50 & 0.856246 & 0.287508 & 0.143754 \tabularnewline
51 & 0.83437 & 0.331261 & 0.16563 \tabularnewline
52 & 0.887127 & 0.225746 & 0.112873 \tabularnewline
53 & 0.864353 & 0.271294 & 0.135647 \tabularnewline
54 & 0.891633 & 0.216733 & 0.108367 \tabularnewline
55 & 0.883367 & 0.233266 & 0.116633 \tabularnewline
56 & 0.8726 & 0.254799 & 0.1274 \tabularnewline
57 & 0.869557 & 0.260887 & 0.130443 \tabularnewline
58 & 0.852903 & 0.294194 & 0.147097 \tabularnewline
59 & 0.890739 & 0.218523 & 0.109261 \tabularnewline
60 & 0.870659 & 0.258683 & 0.129341 \tabularnewline
61 & 0.851475 & 0.29705 & 0.148525 \tabularnewline
62 & 0.829048 & 0.341903 & 0.170952 \tabularnewline
63 & 0.832134 & 0.335733 & 0.167866 \tabularnewline
64 & 0.876346 & 0.247309 & 0.123654 \tabularnewline
65 & 0.88631 & 0.22738 & 0.11369 \tabularnewline
66 & 0.878809 & 0.242381 & 0.121191 \tabularnewline
67 & 0.88992 & 0.220159 & 0.11008 \tabularnewline
68 & 0.94112 & 0.11776 & 0.0588802 \tabularnewline
69 & 0.946861 & 0.106277 & 0.0531385 \tabularnewline
70 & 0.935753 & 0.128495 & 0.0642474 \tabularnewline
71 & 0.932324 & 0.135352 & 0.067676 \tabularnewline
72 & 0.922715 & 0.154571 & 0.0772853 \tabularnewline
73 & 0.914767 & 0.170467 & 0.0852334 \tabularnewline
74 & 0.898204 & 0.203591 & 0.101796 \tabularnewline
75 & 0.880619 & 0.238762 & 0.119381 \tabularnewline
76 & 0.862432 & 0.275135 & 0.137568 \tabularnewline
77 & 0.841141 & 0.317718 & 0.158859 \tabularnewline
78 & 0.821637 & 0.356726 & 0.178363 \tabularnewline
79 & 0.807733 & 0.384535 & 0.192267 \tabularnewline
80 & 0.819548 & 0.360903 & 0.180452 \tabularnewline
81 & 0.794919 & 0.410161 & 0.205081 \tabularnewline
82 & 0.772381 & 0.455239 & 0.227619 \tabularnewline
83 & 0.74607 & 0.50786 & 0.25393 \tabularnewline
84 & 0.714694 & 0.570613 & 0.285306 \tabularnewline
85 & 0.699615 & 0.600769 & 0.300385 \tabularnewline
86 & 0.666354 & 0.667291 & 0.333646 \tabularnewline
87 & 0.642535 & 0.714929 & 0.357465 \tabularnewline
88 & 0.622591 & 0.754818 & 0.377409 \tabularnewline
89 & 0.591167 & 0.817667 & 0.408833 \tabularnewline
90 & 0.589568 & 0.820865 & 0.410432 \tabularnewline
91 & 0.574383 & 0.851234 & 0.425617 \tabularnewline
92 & 0.548057 & 0.903885 & 0.451943 \tabularnewline
93 & 0.558088 & 0.883824 & 0.441912 \tabularnewline
94 & 0.522356 & 0.955287 & 0.477644 \tabularnewline
95 & 0.487981 & 0.975962 & 0.512019 \tabularnewline
96 & 0.460385 & 0.92077 & 0.539615 \tabularnewline
97 & 0.442889 & 0.885778 & 0.557111 \tabularnewline
98 & 0.406628 & 0.813255 & 0.593372 \tabularnewline
99 & 0.371763 & 0.743526 & 0.628237 \tabularnewline
100 & 0.344873 & 0.689746 & 0.655127 \tabularnewline
101 & 0.3315 & 0.663 & 0.6685 \tabularnewline
102 & 0.300979 & 0.601959 & 0.699021 \tabularnewline
103 & 0.282261 & 0.564522 & 0.717739 \tabularnewline
104 & 0.283052 & 0.566105 & 0.716948 \tabularnewline
105 & 0.258495 & 0.516991 & 0.741505 \tabularnewline
106 & 0.229974 & 0.459948 & 0.770026 \tabularnewline
107 & 0.20317 & 0.406341 & 0.79683 \tabularnewline
108 & 0.179424 & 0.358848 & 0.820576 \tabularnewline
109 & 0.203695 & 0.407389 & 0.796305 \tabularnewline
110 & 0.179991 & 0.359981 & 0.820009 \tabularnewline
111 & 0.164164 & 0.328328 & 0.835836 \tabularnewline
112 & 0.142761 & 0.285522 & 0.857239 \tabularnewline
113 & 0.161161 & 0.322323 & 0.838839 \tabularnewline
114 & 0.181658 & 0.363316 & 0.818342 \tabularnewline
115 & 0.267459 & 0.534917 & 0.732541 \tabularnewline
116 & 0.325587 & 0.651173 & 0.674413 \tabularnewline
117 & 0.345554 & 0.691107 & 0.654446 \tabularnewline
118 & 0.314271 & 0.628541 & 0.685729 \tabularnewline
119 & 0.40553 & 0.811061 & 0.59447 \tabularnewline
120 & 0.410024 & 0.820048 & 0.589976 \tabularnewline
121 & 0.402913 & 0.805827 & 0.597087 \tabularnewline
122 & 0.497221 & 0.994443 & 0.502779 \tabularnewline
123 & 0.473215 & 0.946429 & 0.526785 \tabularnewline
124 & 0.674115 & 0.65177 & 0.325885 \tabularnewline
125 & 0.651274 & 0.697453 & 0.348726 \tabularnewline
126 & 0.620058 & 0.759885 & 0.379942 \tabularnewline
127 & 0.596674 & 0.806652 & 0.403326 \tabularnewline
128 & 0.57098 & 0.858039 & 0.42902 \tabularnewline
129 & 0.617433 & 0.765133 & 0.382567 \tabularnewline
130 & 0.60205 & 0.795901 & 0.39795 \tabularnewline
131 & 0.570227 & 0.859546 & 0.429773 \tabularnewline
132 & 0.5777 & 0.8446 & 0.4223 \tabularnewline
133 & 0.545422 & 0.909157 & 0.454578 \tabularnewline
134 & 0.513825 & 0.97235 & 0.486175 \tabularnewline
135 & 0.542382 & 0.915236 & 0.457618 \tabularnewline
136 & 0.559791 & 0.880417 & 0.440209 \tabularnewline
137 & 0.526683 & 0.946633 & 0.473317 \tabularnewline
138 & 0.738157 & 0.523686 & 0.261843 \tabularnewline
139 & 0.725551 & 0.548898 & 0.274449 \tabularnewline
140 & 0.69785 & 0.604299 & 0.30215 \tabularnewline
141 & 0.672138 & 0.655724 & 0.327862 \tabularnewline
142 & 0.704125 & 0.59175 & 0.295875 \tabularnewline
143 & 0.703674 & 0.592652 & 0.296326 \tabularnewline
144 & 0.673484 & 0.653033 & 0.326516 \tabularnewline
145 & 0.652562 & 0.694877 & 0.347438 \tabularnewline
146 & 0.627272 & 0.745455 & 0.372728 \tabularnewline
147 & 0.593574 & 0.812852 & 0.406426 \tabularnewline
148 & 0.577702 & 0.844597 & 0.422298 \tabularnewline
149 & 0.543891 & 0.912218 & 0.456109 \tabularnewline
150 & 0.579863 & 0.840275 & 0.420137 \tabularnewline
151 & 0.594903 & 0.810195 & 0.405097 \tabularnewline
152 & 0.571203 & 0.857593 & 0.428797 \tabularnewline
153 & 0.563241 & 0.873517 & 0.436759 \tabularnewline
154 & 0.585959 & 0.828081 & 0.414041 \tabularnewline
155 & 0.562375 & 0.87525 & 0.437625 \tabularnewline
156 & 0.531292 & 0.937415 & 0.468708 \tabularnewline
157 & 0.544865 & 0.91027 & 0.455135 \tabularnewline
158 & 0.525497 & 0.949006 & 0.474503 \tabularnewline
159 & 0.504009 & 0.991983 & 0.495991 \tabularnewline
160 & 0.486321 & 0.972642 & 0.513679 \tabularnewline
161 & 0.468197 & 0.936393 & 0.531803 \tabularnewline
162 & 0.433461 & 0.866922 & 0.566539 \tabularnewline
163 & 0.438677 & 0.877353 & 0.561323 \tabularnewline
164 & 0.854293 & 0.291413 & 0.145707 \tabularnewline
165 & 0.897357 & 0.205286 & 0.102643 \tabularnewline
166 & 0.898257 & 0.203486 & 0.101743 \tabularnewline
167 & 0.890847 & 0.218306 & 0.109153 \tabularnewline
168 & 0.876151 & 0.247698 & 0.123849 \tabularnewline
169 & 0.858683 & 0.282633 & 0.141317 \tabularnewline
170 & 0.840986 & 0.318029 & 0.159014 \tabularnewline
171 & 0.819712 & 0.360576 & 0.180288 \tabularnewline
172 & 0.806843 & 0.386314 & 0.193157 \tabularnewline
173 & 0.820447 & 0.359106 & 0.179553 \tabularnewline
174 & 0.824133 & 0.351733 & 0.175867 \tabularnewline
175 & 0.829313 & 0.341373 & 0.170687 \tabularnewline
176 & 0.827886 & 0.344229 & 0.172114 \tabularnewline
177 & 0.803622 & 0.392756 & 0.196378 \tabularnewline
178 & 0.799798 & 0.400405 & 0.200202 \tabularnewline
179 & 0.85649 & 0.287019 & 0.14351 \tabularnewline
180 & 0.942981 & 0.114038 & 0.0570192 \tabularnewline
181 & 0.931667 & 0.136665 & 0.0683327 \tabularnewline
182 & 0.927176 & 0.145648 & 0.072824 \tabularnewline
183 & 0.917156 & 0.165689 & 0.0828443 \tabularnewline
184 & 0.903176 & 0.193648 & 0.0968239 \tabularnewline
185 & 0.935481 & 0.129037 & 0.0645187 \tabularnewline
186 & 0.924394 & 0.151212 & 0.0756058 \tabularnewline
187 & 0.911499 & 0.177002 & 0.0885008 \tabularnewline
188 & 0.899574 & 0.200853 & 0.100426 \tabularnewline
189 & 0.888632 & 0.222737 & 0.111368 \tabularnewline
190 & 0.881901 & 0.236198 & 0.118099 \tabularnewline
191 & 0.874047 & 0.251906 & 0.125953 \tabularnewline
192 & 0.866679 & 0.266642 & 0.133321 \tabularnewline
193 & 0.847182 & 0.305637 & 0.152818 \tabularnewline
194 & 0.837255 & 0.32549 & 0.162745 \tabularnewline
195 & 0.819594 & 0.360812 & 0.180406 \tabularnewline
196 & 0.799209 & 0.401582 & 0.200791 \tabularnewline
197 & 0.772067 & 0.455865 & 0.227933 \tabularnewline
198 & 0.741388 & 0.517225 & 0.258612 \tabularnewline
199 & 0.71105 & 0.5779 & 0.28895 \tabularnewline
200 & 0.685518 & 0.628964 & 0.314482 \tabularnewline
201 & 0.901428 & 0.197144 & 0.0985722 \tabularnewline
202 & 0.889776 & 0.220447 & 0.110224 \tabularnewline
203 & 0.871039 & 0.257922 & 0.128961 \tabularnewline
204 & 0.856386 & 0.287228 & 0.143614 \tabularnewline
205 & 0.831875 & 0.33625 & 0.168125 \tabularnewline
206 & 0.825597 & 0.348805 & 0.174403 \tabularnewline
207 & 0.915606 & 0.168788 & 0.0843939 \tabularnewline
208 & 0.916903 & 0.166193 & 0.0830966 \tabularnewline
209 & 0.936997 & 0.126006 & 0.0630032 \tabularnewline
210 & 0.924311 & 0.151378 & 0.0756889 \tabularnewline
211 & 0.937799 & 0.124403 & 0.0622015 \tabularnewline
212 & 0.931989 & 0.136022 & 0.068011 \tabularnewline
213 & 0.921094 & 0.157811 & 0.0789056 \tabularnewline
214 & 0.90733 & 0.185341 & 0.0926705 \tabularnewline
215 & 0.897465 & 0.205071 & 0.102535 \tabularnewline
216 & 0.879937 & 0.240125 & 0.120063 \tabularnewline
217 & 0.857801 & 0.284398 & 0.142199 \tabularnewline
218 & 0.892282 & 0.215435 & 0.107718 \tabularnewline
219 & 0.882956 & 0.234089 & 0.117044 \tabularnewline
220 & 0.864701 & 0.270598 & 0.135299 \tabularnewline
221 & 0.842163 & 0.315673 & 0.157837 \tabularnewline
222 & 0.887144 & 0.225712 & 0.112856 \tabularnewline
223 & 0.867218 & 0.265564 & 0.132782 \tabularnewline
224 & 0.839867 & 0.320266 & 0.160133 \tabularnewline
225 & 0.839961 & 0.320079 & 0.160039 \tabularnewline
226 & 0.857259 & 0.285482 & 0.142741 \tabularnewline
227 & 0.828148 & 0.343703 & 0.171852 \tabularnewline
228 & 0.795494 & 0.409012 & 0.204506 \tabularnewline
229 & 0.759134 & 0.481732 & 0.240866 \tabularnewline
230 & 0.732757 & 0.534485 & 0.267243 \tabularnewline
231 & 0.824207 & 0.351586 & 0.175793 \tabularnewline
232 & 0.794272 & 0.411456 & 0.205728 \tabularnewline
233 & 0.756318 & 0.487364 & 0.243682 \tabularnewline
234 & 0.809557 & 0.380886 & 0.190443 \tabularnewline
235 & 0.780106 & 0.439788 & 0.219894 \tabularnewline
236 & 0.870164 & 0.259673 & 0.129836 \tabularnewline
237 & 0.92112 & 0.15776 & 0.07888 \tabularnewline
238 & 0.917064 & 0.165873 & 0.0829363 \tabularnewline
239 & 0.913137 & 0.173725 & 0.0868627 \tabularnewline
240 & 0.887537 & 0.224926 & 0.112463 \tabularnewline
241 & 0.869636 & 0.260728 & 0.130364 \tabularnewline
242 & 0.88878 & 0.22244 & 0.11122 \tabularnewline
243 & 0.862905 & 0.274191 & 0.137095 \tabularnewline
244 & 0.968366 & 0.0632673 & 0.0316336 \tabularnewline
245 & 0.958127 & 0.083746 & 0.041873 \tabularnewline
246 & 0.944657 & 0.110687 & 0.0553434 \tabularnewline
247 & 0.951451 & 0.0970973 & 0.0485486 \tabularnewline
248 & 0.931971 & 0.136058 & 0.0680289 \tabularnewline
249 & 0.907905 & 0.18419 & 0.0920951 \tabularnewline
250 & 0.874904 & 0.250192 & 0.125096 \tabularnewline
251 & 0.835336 & 0.329327 & 0.164664 \tabularnewline
252 & 0.855084 & 0.289832 & 0.144916 \tabularnewline
253 & 0.817919 & 0.364162 & 0.182081 \tabularnewline
254 & 0.785544 & 0.428912 & 0.214456 \tabularnewline
255 & 0.939688 & 0.120624 & 0.0603119 \tabularnewline
256 & 0.909062 & 0.181876 & 0.0909379 \tabularnewline
257 & 0.883556 & 0.232888 & 0.116444 \tabularnewline
258 & 0.833848 & 0.332304 & 0.166152 \tabularnewline
259 & 0.765723 & 0.468553 & 0.234277 \tabularnewline
260 & 0.688982 & 0.622036 & 0.311018 \tabularnewline
261 & 0.682531 & 0.634937 & 0.317469 \tabularnewline
262 & 0.621159 & 0.757683 & 0.378841 \tabularnewline
263 & 0.62177 & 0.756459 & 0.37823 \tabularnewline
264 & 0.519478 & 0.961043 & 0.480522 \tabularnewline
265 & 0.3807 & 0.7614 & 0.6193 \tabularnewline
266 & 0.353424 & 0.706848 & 0.646576 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275225&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]0.313712[/C][C]0.627424[/C][C]0.686288[/C][/ROW]
[ROW][C]13[/C][C]0.190333[/C][C]0.380665[/C][C]0.809667[/C][/ROW]
[ROW][C]14[/C][C]0.0991467[/C][C]0.198293[/C][C]0.900853[/C][/ROW]
[ROW][C]15[/C][C]0.942885[/C][C]0.11423[/C][C]0.0571151[/C][/ROW]
[ROW][C]16[/C][C]0.906234[/C][C]0.187532[/C][C]0.0937659[/C][/ROW]
[ROW][C]17[/C][C]0.870023[/C][C]0.259954[/C][C]0.129977[/C][/ROW]
[ROW][C]18[/C][C]0.815799[/C][C]0.368401[/C][C]0.184201[/C][/ROW]
[ROW][C]19[/C][C]0.800985[/C][C]0.39803[/C][C]0.199015[/C][/ROW]
[ROW][C]20[/C][C]0.775794[/C][C]0.448412[/C][C]0.224206[/C][/ROW]
[ROW][C]21[/C][C]0.74119[/C][C]0.51762[/C][C]0.25881[/C][/ROW]
[ROW][C]22[/C][C]0.671952[/C][C]0.656096[/C][C]0.328048[/C][/ROW]
[ROW][C]23[/C][C]0.883651[/C][C]0.232699[/C][C]0.116349[/C][/ROW]
[ROW][C]24[/C][C]0.863124[/C][C]0.273752[/C][C]0.136876[/C][/ROW]
[ROW][C]25[/C][C]0.85384[/C][C]0.292321[/C][C]0.14616[/C][/ROW]
[ROW][C]26[/C][C]0.946547[/C][C]0.106906[/C][C]0.0534528[/C][/ROW]
[ROW][C]27[/C][C]0.962437[/C][C]0.0751257[/C][C]0.0375628[/C][/ROW]
[ROW][C]28[/C][C]0.949153[/C][C]0.101694[/C][C]0.0508469[/C][/ROW]
[ROW][C]29[/C][C]0.931691[/C][C]0.136617[/C][C]0.0683086[/C][/ROW]
[ROW][C]30[/C][C]0.914089[/C][C]0.171821[/C][C]0.0859107[/C][/ROW]
[ROW][C]31[/C][C]0.935359[/C][C]0.129281[/C][C]0.0646406[/C][/ROW]
[ROW][C]32[/C][C]0.921802[/C][C]0.156397[/C][C]0.0781984[/C][/ROW]
[ROW][C]33[/C][C]0.903238[/C][C]0.193524[/C][C]0.096762[/C][/ROW]
[ROW][C]34[/C][C]0.878488[/C][C]0.243024[/C][C]0.121512[/C][/ROW]
[ROW][C]35[/C][C]0.891096[/C][C]0.217807[/C][C]0.108904[/C][/ROW]
[ROW][C]36[/C][C]0.890245[/C][C]0.219511[/C][C]0.109755[/C][/ROW]
[ROW][C]37[/C][C]0.862101[/C][C]0.275797[/C][C]0.137899[/C][/ROW]
[ROW][C]38[/C][C]0.835348[/C][C]0.329304[/C][C]0.164652[/C][/ROW]
[ROW][C]39[/C][C]0.815989[/C][C]0.368022[/C][C]0.184011[/C][/ROW]
[ROW][C]40[/C][C]0.813805[/C][C]0.37239[/C][C]0.186195[/C][/ROW]
[ROW][C]41[/C][C]0.80468[/C][C]0.39064[/C][C]0.19532[/C][/ROW]
[ROW][C]42[/C][C]0.767744[/C][C]0.464513[/C][C]0.232256[/C][/ROW]
[ROW][C]43[/C][C]0.732497[/C][C]0.535007[/C][C]0.267503[/C][/ROW]
[ROW][C]44[/C][C]0.704582[/C][C]0.590835[/C][C]0.295418[/C][/ROW]
[ROW][C]45[/C][C]0.767681[/C][C]0.464639[/C][C]0.232319[/C][/ROW]
[ROW][C]46[/C][C]0.819294[/C][C]0.361412[/C][C]0.180706[/C][/ROW]
[ROW][C]47[/C][C]0.863174[/C][C]0.273652[/C][C]0.136826[/C][/ROW]
[ROW][C]48[/C][C]0.84185[/C][C]0.316299[/C][C]0.15815[/C][/ROW]
[ROW][C]49[/C][C]0.87607[/C][C]0.24786[/C][C]0.12393[/C][/ROW]
[ROW][C]50[/C][C]0.856246[/C][C]0.287508[/C][C]0.143754[/C][/ROW]
[ROW][C]51[/C][C]0.83437[/C][C]0.331261[/C][C]0.16563[/C][/ROW]
[ROW][C]52[/C][C]0.887127[/C][C]0.225746[/C][C]0.112873[/C][/ROW]
[ROW][C]53[/C][C]0.864353[/C][C]0.271294[/C][C]0.135647[/C][/ROW]
[ROW][C]54[/C][C]0.891633[/C][C]0.216733[/C][C]0.108367[/C][/ROW]
[ROW][C]55[/C][C]0.883367[/C][C]0.233266[/C][C]0.116633[/C][/ROW]
[ROW][C]56[/C][C]0.8726[/C][C]0.254799[/C][C]0.1274[/C][/ROW]
[ROW][C]57[/C][C]0.869557[/C][C]0.260887[/C][C]0.130443[/C][/ROW]
[ROW][C]58[/C][C]0.852903[/C][C]0.294194[/C][C]0.147097[/C][/ROW]
[ROW][C]59[/C][C]0.890739[/C][C]0.218523[/C][C]0.109261[/C][/ROW]
[ROW][C]60[/C][C]0.870659[/C][C]0.258683[/C][C]0.129341[/C][/ROW]
[ROW][C]61[/C][C]0.851475[/C][C]0.29705[/C][C]0.148525[/C][/ROW]
[ROW][C]62[/C][C]0.829048[/C][C]0.341903[/C][C]0.170952[/C][/ROW]
[ROW][C]63[/C][C]0.832134[/C][C]0.335733[/C][C]0.167866[/C][/ROW]
[ROW][C]64[/C][C]0.876346[/C][C]0.247309[/C][C]0.123654[/C][/ROW]
[ROW][C]65[/C][C]0.88631[/C][C]0.22738[/C][C]0.11369[/C][/ROW]
[ROW][C]66[/C][C]0.878809[/C][C]0.242381[/C][C]0.121191[/C][/ROW]
[ROW][C]67[/C][C]0.88992[/C][C]0.220159[/C][C]0.11008[/C][/ROW]
[ROW][C]68[/C][C]0.94112[/C][C]0.11776[/C][C]0.0588802[/C][/ROW]
[ROW][C]69[/C][C]0.946861[/C][C]0.106277[/C][C]0.0531385[/C][/ROW]
[ROW][C]70[/C][C]0.935753[/C][C]0.128495[/C][C]0.0642474[/C][/ROW]
[ROW][C]71[/C][C]0.932324[/C][C]0.135352[/C][C]0.067676[/C][/ROW]
[ROW][C]72[/C][C]0.922715[/C][C]0.154571[/C][C]0.0772853[/C][/ROW]
[ROW][C]73[/C][C]0.914767[/C][C]0.170467[/C][C]0.0852334[/C][/ROW]
[ROW][C]74[/C][C]0.898204[/C][C]0.203591[/C][C]0.101796[/C][/ROW]
[ROW][C]75[/C][C]0.880619[/C][C]0.238762[/C][C]0.119381[/C][/ROW]
[ROW][C]76[/C][C]0.862432[/C][C]0.275135[/C][C]0.137568[/C][/ROW]
[ROW][C]77[/C][C]0.841141[/C][C]0.317718[/C][C]0.158859[/C][/ROW]
[ROW][C]78[/C][C]0.821637[/C][C]0.356726[/C][C]0.178363[/C][/ROW]
[ROW][C]79[/C][C]0.807733[/C][C]0.384535[/C][C]0.192267[/C][/ROW]
[ROW][C]80[/C][C]0.819548[/C][C]0.360903[/C][C]0.180452[/C][/ROW]
[ROW][C]81[/C][C]0.794919[/C][C]0.410161[/C][C]0.205081[/C][/ROW]
[ROW][C]82[/C][C]0.772381[/C][C]0.455239[/C][C]0.227619[/C][/ROW]
[ROW][C]83[/C][C]0.74607[/C][C]0.50786[/C][C]0.25393[/C][/ROW]
[ROW][C]84[/C][C]0.714694[/C][C]0.570613[/C][C]0.285306[/C][/ROW]
[ROW][C]85[/C][C]0.699615[/C][C]0.600769[/C][C]0.300385[/C][/ROW]
[ROW][C]86[/C][C]0.666354[/C][C]0.667291[/C][C]0.333646[/C][/ROW]
[ROW][C]87[/C][C]0.642535[/C][C]0.714929[/C][C]0.357465[/C][/ROW]
[ROW][C]88[/C][C]0.622591[/C][C]0.754818[/C][C]0.377409[/C][/ROW]
[ROW][C]89[/C][C]0.591167[/C][C]0.817667[/C][C]0.408833[/C][/ROW]
[ROW][C]90[/C][C]0.589568[/C][C]0.820865[/C][C]0.410432[/C][/ROW]
[ROW][C]91[/C][C]0.574383[/C][C]0.851234[/C][C]0.425617[/C][/ROW]
[ROW][C]92[/C][C]0.548057[/C][C]0.903885[/C][C]0.451943[/C][/ROW]
[ROW][C]93[/C][C]0.558088[/C][C]0.883824[/C][C]0.441912[/C][/ROW]
[ROW][C]94[/C][C]0.522356[/C][C]0.955287[/C][C]0.477644[/C][/ROW]
[ROW][C]95[/C][C]0.487981[/C][C]0.975962[/C][C]0.512019[/C][/ROW]
[ROW][C]96[/C][C]0.460385[/C][C]0.92077[/C][C]0.539615[/C][/ROW]
[ROW][C]97[/C][C]0.442889[/C][C]0.885778[/C][C]0.557111[/C][/ROW]
[ROW][C]98[/C][C]0.406628[/C][C]0.813255[/C][C]0.593372[/C][/ROW]
[ROW][C]99[/C][C]0.371763[/C][C]0.743526[/C][C]0.628237[/C][/ROW]
[ROW][C]100[/C][C]0.344873[/C][C]0.689746[/C][C]0.655127[/C][/ROW]
[ROW][C]101[/C][C]0.3315[/C][C]0.663[/C][C]0.6685[/C][/ROW]
[ROW][C]102[/C][C]0.300979[/C][C]0.601959[/C][C]0.699021[/C][/ROW]
[ROW][C]103[/C][C]0.282261[/C][C]0.564522[/C][C]0.717739[/C][/ROW]
[ROW][C]104[/C][C]0.283052[/C][C]0.566105[/C][C]0.716948[/C][/ROW]
[ROW][C]105[/C][C]0.258495[/C][C]0.516991[/C][C]0.741505[/C][/ROW]
[ROW][C]106[/C][C]0.229974[/C][C]0.459948[/C][C]0.770026[/C][/ROW]
[ROW][C]107[/C][C]0.20317[/C][C]0.406341[/C][C]0.79683[/C][/ROW]
[ROW][C]108[/C][C]0.179424[/C][C]0.358848[/C][C]0.820576[/C][/ROW]
[ROW][C]109[/C][C]0.203695[/C][C]0.407389[/C][C]0.796305[/C][/ROW]
[ROW][C]110[/C][C]0.179991[/C][C]0.359981[/C][C]0.820009[/C][/ROW]
[ROW][C]111[/C][C]0.164164[/C][C]0.328328[/C][C]0.835836[/C][/ROW]
[ROW][C]112[/C][C]0.142761[/C][C]0.285522[/C][C]0.857239[/C][/ROW]
[ROW][C]113[/C][C]0.161161[/C][C]0.322323[/C][C]0.838839[/C][/ROW]
[ROW][C]114[/C][C]0.181658[/C][C]0.363316[/C][C]0.818342[/C][/ROW]
[ROW][C]115[/C][C]0.267459[/C][C]0.534917[/C][C]0.732541[/C][/ROW]
[ROW][C]116[/C][C]0.325587[/C][C]0.651173[/C][C]0.674413[/C][/ROW]
[ROW][C]117[/C][C]0.345554[/C][C]0.691107[/C][C]0.654446[/C][/ROW]
[ROW][C]118[/C][C]0.314271[/C][C]0.628541[/C][C]0.685729[/C][/ROW]
[ROW][C]119[/C][C]0.40553[/C][C]0.811061[/C][C]0.59447[/C][/ROW]
[ROW][C]120[/C][C]0.410024[/C][C]0.820048[/C][C]0.589976[/C][/ROW]
[ROW][C]121[/C][C]0.402913[/C][C]0.805827[/C][C]0.597087[/C][/ROW]
[ROW][C]122[/C][C]0.497221[/C][C]0.994443[/C][C]0.502779[/C][/ROW]
[ROW][C]123[/C][C]0.473215[/C][C]0.946429[/C][C]0.526785[/C][/ROW]
[ROW][C]124[/C][C]0.674115[/C][C]0.65177[/C][C]0.325885[/C][/ROW]
[ROW][C]125[/C][C]0.651274[/C][C]0.697453[/C][C]0.348726[/C][/ROW]
[ROW][C]126[/C][C]0.620058[/C][C]0.759885[/C][C]0.379942[/C][/ROW]
[ROW][C]127[/C][C]0.596674[/C][C]0.806652[/C][C]0.403326[/C][/ROW]
[ROW][C]128[/C][C]0.57098[/C][C]0.858039[/C][C]0.42902[/C][/ROW]
[ROW][C]129[/C][C]0.617433[/C][C]0.765133[/C][C]0.382567[/C][/ROW]
[ROW][C]130[/C][C]0.60205[/C][C]0.795901[/C][C]0.39795[/C][/ROW]
[ROW][C]131[/C][C]0.570227[/C][C]0.859546[/C][C]0.429773[/C][/ROW]
[ROW][C]132[/C][C]0.5777[/C][C]0.8446[/C][C]0.4223[/C][/ROW]
[ROW][C]133[/C][C]0.545422[/C][C]0.909157[/C][C]0.454578[/C][/ROW]
[ROW][C]134[/C][C]0.513825[/C][C]0.97235[/C][C]0.486175[/C][/ROW]
[ROW][C]135[/C][C]0.542382[/C][C]0.915236[/C][C]0.457618[/C][/ROW]
[ROW][C]136[/C][C]0.559791[/C][C]0.880417[/C][C]0.440209[/C][/ROW]
[ROW][C]137[/C][C]0.526683[/C][C]0.946633[/C][C]0.473317[/C][/ROW]
[ROW][C]138[/C][C]0.738157[/C][C]0.523686[/C][C]0.261843[/C][/ROW]
[ROW][C]139[/C][C]0.725551[/C][C]0.548898[/C][C]0.274449[/C][/ROW]
[ROW][C]140[/C][C]0.69785[/C][C]0.604299[/C][C]0.30215[/C][/ROW]
[ROW][C]141[/C][C]0.672138[/C][C]0.655724[/C][C]0.327862[/C][/ROW]
[ROW][C]142[/C][C]0.704125[/C][C]0.59175[/C][C]0.295875[/C][/ROW]
[ROW][C]143[/C][C]0.703674[/C][C]0.592652[/C][C]0.296326[/C][/ROW]
[ROW][C]144[/C][C]0.673484[/C][C]0.653033[/C][C]0.326516[/C][/ROW]
[ROW][C]145[/C][C]0.652562[/C][C]0.694877[/C][C]0.347438[/C][/ROW]
[ROW][C]146[/C][C]0.627272[/C][C]0.745455[/C][C]0.372728[/C][/ROW]
[ROW][C]147[/C][C]0.593574[/C][C]0.812852[/C][C]0.406426[/C][/ROW]
[ROW][C]148[/C][C]0.577702[/C][C]0.844597[/C][C]0.422298[/C][/ROW]
[ROW][C]149[/C][C]0.543891[/C][C]0.912218[/C][C]0.456109[/C][/ROW]
[ROW][C]150[/C][C]0.579863[/C][C]0.840275[/C][C]0.420137[/C][/ROW]
[ROW][C]151[/C][C]0.594903[/C][C]0.810195[/C][C]0.405097[/C][/ROW]
[ROW][C]152[/C][C]0.571203[/C][C]0.857593[/C][C]0.428797[/C][/ROW]
[ROW][C]153[/C][C]0.563241[/C][C]0.873517[/C][C]0.436759[/C][/ROW]
[ROW][C]154[/C][C]0.585959[/C][C]0.828081[/C][C]0.414041[/C][/ROW]
[ROW][C]155[/C][C]0.562375[/C][C]0.87525[/C][C]0.437625[/C][/ROW]
[ROW][C]156[/C][C]0.531292[/C][C]0.937415[/C][C]0.468708[/C][/ROW]
[ROW][C]157[/C][C]0.544865[/C][C]0.91027[/C][C]0.455135[/C][/ROW]
[ROW][C]158[/C][C]0.525497[/C][C]0.949006[/C][C]0.474503[/C][/ROW]
[ROW][C]159[/C][C]0.504009[/C][C]0.991983[/C][C]0.495991[/C][/ROW]
[ROW][C]160[/C][C]0.486321[/C][C]0.972642[/C][C]0.513679[/C][/ROW]
[ROW][C]161[/C][C]0.468197[/C][C]0.936393[/C][C]0.531803[/C][/ROW]
[ROW][C]162[/C][C]0.433461[/C][C]0.866922[/C][C]0.566539[/C][/ROW]
[ROW][C]163[/C][C]0.438677[/C][C]0.877353[/C][C]0.561323[/C][/ROW]
[ROW][C]164[/C][C]0.854293[/C][C]0.291413[/C][C]0.145707[/C][/ROW]
[ROW][C]165[/C][C]0.897357[/C][C]0.205286[/C][C]0.102643[/C][/ROW]
[ROW][C]166[/C][C]0.898257[/C][C]0.203486[/C][C]0.101743[/C][/ROW]
[ROW][C]167[/C][C]0.890847[/C][C]0.218306[/C][C]0.109153[/C][/ROW]
[ROW][C]168[/C][C]0.876151[/C][C]0.247698[/C][C]0.123849[/C][/ROW]
[ROW][C]169[/C][C]0.858683[/C][C]0.282633[/C][C]0.141317[/C][/ROW]
[ROW][C]170[/C][C]0.840986[/C][C]0.318029[/C][C]0.159014[/C][/ROW]
[ROW][C]171[/C][C]0.819712[/C][C]0.360576[/C][C]0.180288[/C][/ROW]
[ROW][C]172[/C][C]0.806843[/C][C]0.386314[/C][C]0.193157[/C][/ROW]
[ROW][C]173[/C][C]0.820447[/C][C]0.359106[/C][C]0.179553[/C][/ROW]
[ROW][C]174[/C][C]0.824133[/C][C]0.351733[/C][C]0.175867[/C][/ROW]
[ROW][C]175[/C][C]0.829313[/C][C]0.341373[/C][C]0.170687[/C][/ROW]
[ROW][C]176[/C][C]0.827886[/C][C]0.344229[/C][C]0.172114[/C][/ROW]
[ROW][C]177[/C][C]0.803622[/C][C]0.392756[/C][C]0.196378[/C][/ROW]
[ROW][C]178[/C][C]0.799798[/C][C]0.400405[/C][C]0.200202[/C][/ROW]
[ROW][C]179[/C][C]0.85649[/C][C]0.287019[/C][C]0.14351[/C][/ROW]
[ROW][C]180[/C][C]0.942981[/C][C]0.114038[/C][C]0.0570192[/C][/ROW]
[ROW][C]181[/C][C]0.931667[/C][C]0.136665[/C][C]0.0683327[/C][/ROW]
[ROW][C]182[/C][C]0.927176[/C][C]0.145648[/C][C]0.072824[/C][/ROW]
[ROW][C]183[/C][C]0.917156[/C][C]0.165689[/C][C]0.0828443[/C][/ROW]
[ROW][C]184[/C][C]0.903176[/C][C]0.193648[/C][C]0.0968239[/C][/ROW]
[ROW][C]185[/C][C]0.935481[/C][C]0.129037[/C][C]0.0645187[/C][/ROW]
[ROW][C]186[/C][C]0.924394[/C][C]0.151212[/C][C]0.0756058[/C][/ROW]
[ROW][C]187[/C][C]0.911499[/C][C]0.177002[/C][C]0.0885008[/C][/ROW]
[ROW][C]188[/C][C]0.899574[/C][C]0.200853[/C][C]0.100426[/C][/ROW]
[ROW][C]189[/C][C]0.888632[/C][C]0.222737[/C][C]0.111368[/C][/ROW]
[ROW][C]190[/C][C]0.881901[/C][C]0.236198[/C][C]0.118099[/C][/ROW]
[ROW][C]191[/C][C]0.874047[/C][C]0.251906[/C][C]0.125953[/C][/ROW]
[ROW][C]192[/C][C]0.866679[/C][C]0.266642[/C][C]0.133321[/C][/ROW]
[ROW][C]193[/C][C]0.847182[/C][C]0.305637[/C][C]0.152818[/C][/ROW]
[ROW][C]194[/C][C]0.837255[/C][C]0.32549[/C][C]0.162745[/C][/ROW]
[ROW][C]195[/C][C]0.819594[/C][C]0.360812[/C][C]0.180406[/C][/ROW]
[ROW][C]196[/C][C]0.799209[/C][C]0.401582[/C][C]0.200791[/C][/ROW]
[ROW][C]197[/C][C]0.772067[/C][C]0.455865[/C][C]0.227933[/C][/ROW]
[ROW][C]198[/C][C]0.741388[/C][C]0.517225[/C][C]0.258612[/C][/ROW]
[ROW][C]199[/C][C]0.71105[/C][C]0.5779[/C][C]0.28895[/C][/ROW]
[ROW][C]200[/C][C]0.685518[/C][C]0.628964[/C][C]0.314482[/C][/ROW]
[ROW][C]201[/C][C]0.901428[/C][C]0.197144[/C][C]0.0985722[/C][/ROW]
[ROW][C]202[/C][C]0.889776[/C][C]0.220447[/C][C]0.110224[/C][/ROW]
[ROW][C]203[/C][C]0.871039[/C][C]0.257922[/C][C]0.128961[/C][/ROW]
[ROW][C]204[/C][C]0.856386[/C][C]0.287228[/C][C]0.143614[/C][/ROW]
[ROW][C]205[/C][C]0.831875[/C][C]0.33625[/C][C]0.168125[/C][/ROW]
[ROW][C]206[/C][C]0.825597[/C][C]0.348805[/C][C]0.174403[/C][/ROW]
[ROW][C]207[/C][C]0.915606[/C][C]0.168788[/C][C]0.0843939[/C][/ROW]
[ROW][C]208[/C][C]0.916903[/C][C]0.166193[/C][C]0.0830966[/C][/ROW]
[ROW][C]209[/C][C]0.936997[/C][C]0.126006[/C][C]0.0630032[/C][/ROW]
[ROW][C]210[/C][C]0.924311[/C][C]0.151378[/C][C]0.0756889[/C][/ROW]
[ROW][C]211[/C][C]0.937799[/C][C]0.124403[/C][C]0.0622015[/C][/ROW]
[ROW][C]212[/C][C]0.931989[/C][C]0.136022[/C][C]0.068011[/C][/ROW]
[ROW][C]213[/C][C]0.921094[/C][C]0.157811[/C][C]0.0789056[/C][/ROW]
[ROW][C]214[/C][C]0.90733[/C][C]0.185341[/C][C]0.0926705[/C][/ROW]
[ROW][C]215[/C][C]0.897465[/C][C]0.205071[/C][C]0.102535[/C][/ROW]
[ROW][C]216[/C][C]0.879937[/C][C]0.240125[/C][C]0.120063[/C][/ROW]
[ROW][C]217[/C][C]0.857801[/C][C]0.284398[/C][C]0.142199[/C][/ROW]
[ROW][C]218[/C][C]0.892282[/C][C]0.215435[/C][C]0.107718[/C][/ROW]
[ROW][C]219[/C][C]0.882956[/C][C]0.234089[/C][C]0.117044[/C][/ROW]
[ROW][C]220[/C][C]0.864701[/C][C]0.270598[/C][C]0.135299[/C][/ROW]
[ROW][C]221[/C][C]0.842163[/C][C]0.315673[/C][C]0.157837[/C][/ROW]
[ROW][C]222[/C][C]0.887144[/C][C]0.225712[/C][C]0.112856[/C][/ROW]
[ROW][C]223[/C][C]0.867218[/C][C]0.265564[/C][C]0.132782[/C][/ROW]
[ROW][C]224[/C][C]0.839867[/C][C]0.320266[/C][C]0.160133[/C][/ROW]
[ROW][C]225[/C][C]0.839961[/C][C]0.320079[/C][C]0.160039[/C][/ROW]
[ROW][C]226[/C][C]0.857259[/C][C]0.285482[/C][C]0.142741[/C][/ROW]
[ROW][C]227[/C][C]0.828148[/C][C]0.343703[/C][C]0.171852[/C][/ROW]
[ROW][C]228[/C][C]0.795494[/C][C]0.409012[/C][C]0.204506[/C][/ROW]
[ROW][C]229[/C][C]0.759134[/C][C]0.481732[/C][C]0.240866[/C][/ROW]
[ROW][C]230[/C][C]0.732757[/C][C]0.534485[/C][C]0.267243[/C][/ROW]
[ROW][C]231[/C][C]0.824207[/C][C]0.351586[/C][C]0.175793[/C][/ROW]
[ROW][C]232[/C][C]0.794272[/C][C]0.411456[/C][C]0.205728[/C][/ROW]
[ROW][C]233[/C][C]0.756318[/C][C]0.487364[/C][C]0.243682[/C][/ROW]
[ROW][C]234[/C][C]0.809557[/C][C]0.380886[/C][C]0.190443[/C][/ROW]
[ROW][C]235[/C][C]0.780106[/C][C]0.439788[/C][C]0.219894[/C][/ROW]
[ROW][C]236[/C][C]0.870164[/C][C]0.259673[/C][C]0.129836[/C][/ROW]
[ROW][C]237[/C][C]0.92112[/C][C]0.15776[/C][C]0.07888[/C][/ROW]
[ROW][C]238[/C][C]0.917064[/C][C]0.165873[/C][C]0.0829363[/C][/ROW]
[ROW][C]239[/C][C]0.913137[/C][C]0.173725[/C][C]0.0868627[/C][/ROW]
[ROW][C]240[/C][C]0.887537[/C][C]0.224926[/C][C]0.112463[/C][/ROW]
[ROW][C]241[/C][C]0.869636[/C][C]0.260728[/C][C]0.130364[/C][/ROW]
[ROW][C]242[/C][C]0.88878[/C][C]0.22244[/C][C]0.11122[/C][/ROW]
[ROW][C]243[/C][C]0.862905[/C][C]0.274191[/C][C]0.137095[/C][/ROW]
[ROW][C]244[/C][C]0.968366[/C][C]0.0632673[/C][C]0.0316336[/C][/ROW]
[ROW][C]245[/C][C]0.958127[/C][C]0.083746[/C][C]0.041873[/C][/ROW]
[ROW][C]246[/C][C]0.944657[/C][C]0.110687[/C][C]0.0553434[/C][/ROW]
[ROW][C]247[/C][C]0.951451[/C][C]0.0970973[/C][C]0.0485486[/C][/ROW]
[ROW][C]248[/C][C]0.931971[/C][C]0.136058[/C][C]0.0680289[/C][/ROW]
[ROW][C]249[/C][C]0.907905[/C][C]0.18419[/C][C]0.0920951[/C][/ROW]
[ROW][C]250[/C][C]0.874904[/C][C]0.250192[/C][C]0.125096[/C][/ROW]
[ROW][C]251[/C][C]0.835336[/C][C]0.329327[/C][C]0.164664[/C][/ROW]
[ROW][C]252[/C][C]0.855084[/C][C]0.289832[/C][C]0.144916[/C][/ROW]
[ROW][C]253[/C][C]0.817919[/C][C]0.364162[/C][C]0.182081[/C][/ROW]
[ROW][C]254[/C][C]0.785544[/C][C]0.428912[/C][C]0.214456[/C][/ROW]
[ROW][C]255[/C][C]0.939688[/C][C]0.120624[/C][C]0.0603119[/C][/ROW]
[ROW][C]256[/C][C]0.909062[/C][C]0.181876[/C][C]0.0909379[/C][/ROW]
[ROW][C]257[/C][C]0.883556[/C][C]0.232888[/C][C]0.116444[/C][/ROW]
[ROW][C]258[/C][C]0.833848[/C][C]0.332304[/C][C]0.166152[/C][/ROW]
[ROW][C]259[/C][C]0.765723[/C][C]0.468553[/C][C]0.234277[/C][/ROW]
[ROW][C]260[/C][C]0.688982[/C][C]0.622036[/C][C]0.311018[/C][/ROW]
[ROW][C]261[/C][C]0.682531[/C][C]0.634937[/C][C]0.317469[/C][/ROW]
[ROW][C]262[/C][C]0.621159[/C][C]0.757683[/C][C]0.378841[/C][/ROW]
[ROW][C]263[/C][C]0.62177[/C][C]0.756459[/C][C]0.37823[/C][/ROW]
[ROW][C]264[/C][C]0.519478[/C][C]0.961043[/C][C]0.480522[/C][/ROW]
[ROW][C]265[/C][C]0.3807[/C][C]0.7614[/C][C]0.6193[/C][/ROW]
[ROW][C]266[/C][C]0.353424[/C][C]0.706848[/C][C]0.646576[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275225&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275225&T=5

As an alternative you can also use a QR Code:

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

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
12	0.313712	0.627424	0.686288
13	0.190333	0.380665	0.809667
14	0.0991467	0.198293	0.900853
15	0.942885	0.11423	0.0571151
16	0.906234	0.187532	0.0937659
17	0.870023	0.259954	0.129977
18	0.815799	0.368401	0.184201
19	0.800985	0.39803	0.199015
20	0.775794	0.448412	0.224206
21	0.74119	0.51762	0.25881
22	0.671952	0.656096	0.328048
23	0.883651	0.232699	0.116349
24	0.863124	0.273752	0.136876
25	0.85384	0.292321	0.14616
26	0.946547	0.106906	0.0534528
27	0.962437	0.0751257	0.0375628
28	0.949153	0.101694	0.0508469
29	0.931691	0.136617	0.0683086
30	0.914089	0.171821	0.0859107
31	0.935359	0.129281	0.0646406
32	0.921802	0.156397	0.0781984
33	0.903238	0.193524	0.096762
34	0.878488	0.243024	0.121512
35	0.891096	0.217807	0.108904
36	0.890245	0.219511	0.109755
37	0.862101	0.275797	0.137899
38	0.835348	0.329304	0.164652
39	0.815989	0.368022	0.184011
40	0.813805	0.37239	0.186195
41	0.80468	0.39064	0.19532
42	0.767744	0.464513	0.232256
43	0.732497	0.535007	0.267503
44	0.704582	0.590835	0.295418
45	0.767681	0.464639	0.232319
46	0.819294	0.361412	0.180706
47	0.863174	0.273652	0.136826
48	0.84185	0.316299	0.15815
49	0.87607	0.24786	0.12393
50	0.856246	0.287508	0.143754
51	0.83437	0.331261	0.16563
52	0.887127	0.225746	0.112873
53	0.864353	0.271294	0.135647
54	0.891633	0.216733	0.108367
55	0.883367	0.233266	0.116633
56	0.8726	0.254799	0.1274
57	0.869557	0.260887	0.130443
58	0.852903	0.294194	0.147097
59	0.890739	0.218523	0.109261
60	0.870659	0.258683	0.129341
61	0.851475	0.29705	0.148525
62	0.829048	0.341903	0.170952
63	0.832134	0.335733	0.167866
64	0.876346	0.247309	0.123654
65	0.88631	0.22738	0.11369
66	0.878809	0.242381	0.121191
67	0.88992	0.220159	0.11008
68	0.94112	0.11776	0.0588802
69	0.946861	0.106277	0.0531385
70	0.935753	0.128495	0.0642474
71	0.932324	0.135352	0.067676
72	0.922715	0.154571	0.0772853
73	0.914767	0.170467	0.0852334
74	0.898204	0.203591	0.101796
75	0.880619	0.238762	0.119381
76	0.862432	0.275135	0.137568
77	0.841141	0.317718	0.158859
78	0.821637	0.356726	0.178363
79	0.807733	0.384535	0.192267
80	0.819548	0.360903	0.180452
81	0.794919	0.410161	0.205081
82	0.772381	0.455239	0.227619
83	0.74607	0.50786	0.25393
84	0.714694	0.570613	0.285306
85	0.699615	0.600769	0.300385
86	0.666354	0.667291	0.333646
87	0.642535	0.714929	0.357465
88	0.622591	0.754818	0.377409
89	0.591167	0.817667	0.408833
90	0.589568	0.820865	0.410432
91	0.574383	0.851234	0.425617
92	0.548057	0.903885	0.451943
93	0.558088	0.883824	0.441912
94	0.522356	0.955287	0.477644
95	0.487981	0.975962	0.512019
96	0.460385	0.92077	0.539615
97	0.442889	0.885778	0.557111
98	0.406628	0.813255	0.593372
99	0.371763	0.743526	0.628237
100	0.344873	0.689746	0.655127
101	0.3315	0.663	0.6685
102	0.300979	0.601959	0.699021
103	0.282261	0.564522	0.717739
104	0.283052	0.566105	0.716948
105	0.258495	0.516991	0.741505
106	0.229974	0.459948	0.770026
107	0.20317	0.406341	0.79683
108	0.179424	0.358848	0.820576
109	0.203695	0.407389	0.796305
110	0.179991	0.359981	0.820009
111	0.164164	0.328328	0.835836
112	0.142761	0.285522	0.857239
113	0.161161	0.322323	0.838839
114	0.181658	0.363316	0.818342
115	0.267459	0.534917	0.732541
116	0.325587	0.651173	0.674413
117	0.345554	0.691107	0.654446
118	0.314271	0.628541	0.685729
119	0.40553	0.811061	0.59447
120	0.410024	0.820048	0.589976
121	0.402913	0.805827	0.597087
122	0.497221	0.994443	0.502779
123	0.473215	0.946429	0.526785
124	0.674115	0.65177	0.325885
125	0.651274	0.697453	0.348726
126	0.620058	0.759885	0.379942
127	0.596674	0.806652	0.403326
128	0.57098	0.858039	0.42902
129	0.617433	0.765133	0.382567
130	0.60205	0.795901	0.39795
131	0.570227	0.859546	0.429773
132	0.5777	0.8446	0.4223
133	0.545422	0.909157	0.454578
134	0.513825	0.97235	0.486175
135	0.542382	0.915236	0.457618
136	0.559791	0.880417	0.440209
137	0.526683	0.946633	0.473317
138	0.738157	0.523686	0.261843
139	0.725551	0.548898	0.274449
140	0.69785	0.604299	0.30215
141	0.672138	0.655724	0.327862
142	0.704125	0.59175	0.295875
143	0.703674	0.592652	0.296326
144	0.673484	0.653033	0.326516
145	0.652562	0.694877	0.347438
146	0.627272	0.745455	0.372728
147	0.593574	0.812852	0.406426
148	0.577702	0.844597	0.422298
149	0.543891	0.912218	0.456109
150	0.579863	0.840275	0.420137
151	0.594903	0.810195	0.405097
152	0.571203	0.857593	0.428797
153	0.563241	0.873517	0.436759
154	0.585959	0.828081	0.414041
155	0.562375	0.87525	0.437625
156	0.531292	0.937415	0.468708
157	0.544865	0.91027	0.455135
158	0.525497	0.949006	0.474503
159	0.504009	0.991983	0.495991
160	0.486321	0.972642	0.513679
161	0.468197	0.936393	0.531803
162	0.433461	0.866922	0.566539
163	0.438677	0.877353	0.561323
164	0.854293	0.291413	0.145707
165	0.897357	0.205286	0.102643
166	0.898257	0.203486	0.101743
167	0.890847	0.218306	0.109153
168	0.876151	0.247698	0.123849
169	0.858683	0.282633	0.141317
170	0.840986	0.318029	0.159014
171	0.819712	0.360576	0.180288
172	0.806843	0.386314	0.193157
173	0.820447	0.359106	0.179553
174	0.824133	0.351733	0.175867
175	0.829313	0.341373	0.170687
176	0.827886	0.344229	0.172114
177	0.803622	0.392756	0.196378
178	0.799798	0.400405	0.200202
179	0.85649	0.287019	0.14351
180	0.942981	0.114038	0.0570192
181	0.931667	0.136665	0.0683327
182	0.927176	0.145648	0.072824
183	0.917156	0.165689	0.0828443
184	0.903176	0.193648	0.0968239
185	0.935481	0.129037	0.0645187
186	0.924394	0.151212	0.0756058
187	0.911499	0.177002	0.0885008
188	0.899574	0.200853	0.100426
189	0.888632	0.222737	0.111368
190	0.881901	0.236198	0.118099
191	0.874047	0.251906	0.125953
192	0.866679	0.266642	0.133321
193	0.847182	0.305637	0.152818
194	0.837255	0.32549	0.162745
195	0.819594	0.360812	0.180406
196	0.799209	0.401582	0.200791
197	0.772067	0.455865	0.227933
198	0.741388	0.517225	0.258612
199	0.71105	0.5779	0.28895
200	0.685518	0.628964	0.314482
201	0.901428	0.197144	0.0985722
202	0.889776	0.220447	0.110224
203	0.871039	0.257922	0.128961
204	0.856386	0.287228	0.143614
205	0.831875	0.33625	0.168125
206	0.825597	0.348805	0.174403
207	0.915606	0.168788	0.0843939
208	0.916903	0.166193	0.0830966
209	0.936997	0.126006	0.0630032
210	0.924311	0.151378	0.0756889
211	0.937799	0.124403	0.0622015
212	0.931989	0.136022	0.068011
213	0.921094	0.157811	0.0789056
214	0.90733	0.185341	0.0926705
215	0.897465	0.205071	0.102535
216	0.879937	0.240125	0.120063
217	0.857801	0.284398	0.142199
218	0.892282	0.215435	0.107718
219	0.882956	0.234089	0.117044
220	0.864701	0.270598	0.135299
221	0.842163	0.315673	0.157837
222	0.887144	0.225712	0.112856
223	0.867218	0.265564	0.132782
224	0.839867	0.320266	0.160133
225	0.839961	0.320079	0.160039
226	0.857259	0.285482	0.142741
227	0.828148	0.343703	0.171852
228	0.795494	0.409012	0.204506
229	0.759134	0.481732	0.240866
230	0.732757	0.534485	0.267243
231	0.824207	0.351586	0.175793
232	0.794272	0.411456	0.205728
233	0.756318	0.487364	0.243682
234	0.809557	0.380886	0.190443
235	0.780106	0.439788	0.219894
236	0.870164	0.259673	0.129836
237	0.92112	0.15776	0.07888
238	0.917064	0.165873	0.0829363
239	0.913137	0.173725	0.0868627
240	0.887537	0.224926	0.112463
241	0.869636	0.260728	0.130364
242	0.88878	0.22244	0.11122
243	0.862905	0.274191	0.137095
244	0.968366	0.0632673	0.0316336
245	0.958127	0.083746	0.041873
246	0.944657	0.110687	0.0553434
247	0.951451	0.0970973	0.0485486
248	0.931971	0.136058	0.0680289
249	0.907905	0.18419	0.0920951
250	0.874904	0.250192	0.125096
251	0.835336	0.329327	0.164664
252	0.855084	0.289832	0.144916
253	0.817919	0.364162	0.182081
254	0.785544	0.428912	0.214456
255	0.939688	0.120624	0.0603119
256	0.909062	0.181876	0.0909379
257	0.883556	0.232888	0.116444
258	0.833848	0.332304	0.166152
259	0.765723	0.468553	0.234277
260	0.688982	0.622036	0.311018
261	0.682531	0.634937	0.317469
262	0.621159	0.757683	0.378841
263	0.62177	0.756459	0.37823
264	0.519478	0.961043	0.480522
265	0.3807	0.7614	0.6193
266	0.353424	0.706848	0.646576

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	0	0	OK
10% type I error level	4	0.0156863	OK

\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 & 0 & 0 & OK \tabularnewline
10% type I error level & 4 & 0.0156863 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275225&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]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]4[/C][C]0.0156863[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275225&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275225&T=6

As an alternative you can also use a 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 tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	0	0	OK
10% type I error level	4	0.0156863	OK

Figure 1

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Figure 3

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Figure 4

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Figure 5

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Figure 6

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Figure 7

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Figure 8

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Figure 9

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Figure 10

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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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code