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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSat, 03 Jan 2015 14:53:57 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Jan/03/t1420296887apvx107ldk2h28p.htm/, Retrieved Tue, 14 May 2024 06:28:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271905, Retrieved Tue, 14 May 2024 06:28:50 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123

Tree of Dependent Computations

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

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 11 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271905&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]11 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271905&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271905&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 23579.7 + 16.7777Calculation[t] + 17.789Algebraic_Reasoning[t] -9.12307Graphical_Interpretation[t] + 0.320747Proportionality_and_Ratio[t] -0.678198Probability_and_Sampling[t] -4.87186Estimation[t] -11.6763year[t] + 41.3499group[t] -7.54735gender[t] -0.0230325t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
LFM[t] =  +  23579.7 +  16.7777Calculation[t] +  17.789Algebraic_Reasoning[t] -9.12307Graphical_Interpretation[t] +  0.320747Proportionality_and_Ratio[t] -0.678198Probability_and_Sampling[t] -4.87186Estimation[t] -11.6763year[t] +  41.3499group[t] -7.54735gender[t] -0.0230325t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271905&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]LFM[t] =  +  23579.7 +  16.7777Calculation[t] +  17.789Algebraic_Reasoning[t] -9.12307Graphical_Interpretation[t] +  0.320747Proportionality_and_Ratio[t] -0.678198Probability_and_Sampling[t] -4.87186Estimation[t] -11.6763year[t] +  41.3499group[t] -7.54735gender[t] -0.0230325t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271905&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271905&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 23579.7 + 16.7777Calculation[t] + 17.789Algebraic_Reasoning[t] -9.12307Graphical_Interpretation[t] + 0.320747Proportionality_and_Ratio[t] -0.678198Probability_and_Sampling[t] -4.87186Estimation[t] -11.6763year[t] + 41.3499group[t] -7.54735gender[t] -0.0230325t + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)23579.717108.21.3780.1692740.0846369
Calculation16.777713.74691.220.2233620.111681
Algebraic_Reasoning17.78912.88011.3810.1683970.0841985
Graphical_Interpretation-9.1230710.1259-0.9010.3684210.18421
Proportionality_and_Ratio0.3207476.327790.050690.9596120.479806
Probability_and_Sampling-0.6781986.04849-0.11210.9108070.455403
Estimation-4.871865.59126-0.87130.3843550.192177
year-11.67638.5089-1.3720.1711390.0855694
group41.34994.588859.0114.02589e-172.01294e-17
gender-7.547354.33698-1.740.08297050.0414853
t-0.02303250.0533503-0.43170.6662910.333146

\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) & 23579.7 & 17108.2 & 1.378 & 0.169274 & 0.0846369 \tabularnewline
Calculation & 16.7777 & 13.7469 & 1.22 & 0.223362 & 0.111681 \tabularnewline
Algebraic_Reasoning & 17.789 & 12.8801 & 1.381 & 0.168397 & 0.0841985 \tabularnewline
Graphical_Interpretation & -9.12307 & 10.1259 & -0.901 & 0.368421 & 0.18421 \tabularnewline
Proportionality_and_Ratio & 0.320747 & 6.32779 & 0.05069 & 0.959612 & 0.479806 \tabularnewline
Probability_and_Sampling & -0.678198 & 6.04849 & -0.1121 & 0.910807 & 0.455403 \tabularnewline
Estimation & -4.87186 & 5.59126 & -0.8713 & 0.384355 & 0.192177 \tabularnewline
year & -11.6763 & 8.5089 & -1.372 & 0.171139 & 0.0855694 \tabularnewline
group & 41.3499 & 4.58885 & 9.011 & 4.02589e-17 & 2.01294e-17 \tabularnewline
gender & -7.54735 & 4.33698 & -1.74 & 0.0829705 & 0.0414853 \tabularnewline
t & -0.0230325 & 0.0533503 & -0.4317 & 0.666291 & 0.333146 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271905&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]23579.7[/C][C]17108.2[/C][C]1.378[/C][C]0.169274[/C][C]0.0846369[/C][/ROW]
[ROW][C]Calculation[/C][C]16.7777[/C][C]13.7469[/C][C]1.22[/C][C]0.223362[/C][C]0.111681[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]17.789[/C][C]12.8801[/C][C]1.381[/C][C]0.168397[/C][C]0.0841985[/C][/ROW]
[ROW][C]Graphical_Interpretation[/C][C]-9.12307[/C][C]10.1259[/C][C]-0.901[/C][C]0.368421[/C][C]0.18421[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[/C][C]0.320747[/C][C]6.32779[/C][C]0.05069[/C][C]0.959612[/C][C]0.479806[/C][/ROW]
[ROW][C]Probability_and_Sampling[/C][C]-0.678198[/C][C]6.04849[/C][C]-0.1121[/C][C]0.910807[/C][C]0.455403[/C][/ROW]
[ROW][C]Estimation[/C][C]-4.87186[/C][C]5.59126[/C][C]-0.8713[/C][C]0.384355[/C][C]0.192177[/C][/ROW]
[ROW][C]year[/C][C]-11.6763[/C][C]8.5089[/C][C]-1.372[/C][C]0.171139[/C][C]0.0855694[/C][/ROW]
[ROW][C]group[/C][C]41.3499[/C][C]4.58885[/C][C]9.011[/C][C]4.02589e-17[/C][C]2.01294e-17[/C][/ROW]
[ROW][C]gender[/C][C]-7.54735[/C][C]4.33698[/C][C]-1.74[/C][C]0.0829705[/C][C]0.0414853[/C][/ROW]
[ROW][C]t[/C][C]-0.0230325[/C][C]0.0533503[/C][C]-0.4317[/C][C]0.666291[/C][C]0.333146[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271905&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271905&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)23579.717108.21.3780.1692740.0846369
Calculation16.777713.74691.220.2233620.111681
Algebraic_Reasoning17.78912.88011.3810.1683970.0841985
Graphical_Interpretation-9.1230710.1259-0.9010.3684210.18421
Proportionality_and_Ratio0.3207476.327790.050690.9596120.479806
Probability_and_Sampling-0.6781986.04849-0.11210.9108070.455403
Estimation-4.871865.59126-0.87130.3843550.192177
year-11.67638.5089-1.3720.1711390.0855694
group41.34994.588859.0114.02589e-172.01294e-17
gender-7.547354.33698-1.740.08297050.0414853
t-0.02303250.0533503-0.43170.6662910.333146






Multiple Linear Regression - Regression Statistics
Multiple R0.569358
R-squared0.324168
Adjusted R-squared0.298856
F-TEST (value)12.8069
F-TEST (DF numerator)10
F-TEST (DF denominator)267
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation33.355
Sum Squared Residuals297053

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.569358 \tabularnewline
R-squared & 0.324168 \tabularnewline
Adjusted R-squared & 0.298856 \tabularnewline
F-TEST (value) & 12.8069 \tabularnewline
F-TEST (DF numerator) & 10 \tabularnewline
F-TEST (DF denominator) & 267 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 33.355 \tabularnewline
Sum Squared Residuals & 297053 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271905&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.569358[/C][/ROW]
[ROW][C]R-squared[/C][C]0.324168[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.298856[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]12.8069[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]10[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]267[/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]33.355[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]297053[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271905&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271905&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.569358
R-squared0.324168
Adjusted R-squared0.298856
F-TEST (value)12.8069
F-TEST (DF numerator)10
F-TEST (DF denominator)267
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation33.355
Sum Squared Residuals297053






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1149157.357-8.35728
2139143.598-4.59757
3148148.24-0.240224
4158148.6579.34339
5128148.101-20.101
6224148.00475.9957
7159154.2324.76823
8105146.307-41.3066
9159151.767.23985
10167150.45316.5468
11165153.01511.9847
12159139.97519.0252
13119142.344-23.3445
14176152.54823.4516
1554157.516-103.516
1691114.82-23.8201
17163143.90919.0909
18124152.103-28.1028
19137105.50131.4995
20121145.241-24.241
21153143.6519.3487
22148143.7044.29601
23221150.93470.0663
24188138.09349.9067
25149149.717-0.716504
26244134.877109.123
27148110.52237.4781
2892110.301-18.3014
29150140.29.80013
30153144.3568.6437
3194144.96-50.9602
32156150.0295.97111
33132147.435-15.4354
34161143.71317.2868
35105144.21-39.2098
3697138.511-41.511
37151145.6075.39298
38131100.46230.538
39166145.2920.7097
40157152.3864.61439
41111143.627-32.6267
42145139.4565.5445
43162142.88119.1188
44163141.721.3001
455994.4566-35.4566
46187154.52232.478
47109140.468-31.4683
489097.5246-7.52458
49105156.317-51.3169
5083103.069-20.0693
5111699.995216.0048
524296.811-54.811
53148136.4711.5297
54155104.01450.9862
55125141.967-16.9675
56116144.197-28.1973
57128105.45822.5422
58138144.068-6.06847
5949103.522-54.5225
6096108.431-12.4311
61164150.07613.9241
62162153.1488.85174
6399141.155-42.155
64202141.56260.4375
65186149.26936.7312
666695.9909-29.9909
67183144.03438.9657
68214137.25676.7445
69188141.28546.7147
70104105.317-1.31691
71177154.89222.1076
72126152.098-26.0975
7376112.375-36.3746
7499100.698-1.69842
75139150.625-11.625
76162158.8353.16528
77108106.691.3103
78159148.8410.1603
7974102.019-28.0189
80110144.847-34.8472
8196112.426-16.4259
82116108.8197.18071
8387106.193-19.1929
849795.52281.47723
85127104.81222.1884
86106105.0950.905124
878098.8489-18.8489
8874106.589-32.5894
8991110.564-19.5642
90133104.24428.7563
9174100.831-26.8306
9211493.153920.8461
93140100.31839.6817
9495104.28-9.2796
959898.4934-0.493387
96121111.1029.89816
97126107.24218.7581
9898102.242-4.24247
9995101.902-6.90151
10011096.475113.5249
1017099.824-29.824
102102105.078-3.07839
10386103.571-17.5709
10413098.943131.0569
10596100.994-4.99362
106102110.938-8.93802
107100105.144-5.1439
10894108.24-14.2401
10952107.232-55.2316
11098104.735-6.7347
111118109.8498.15061
1129994.69234.30771
11348127.302-79.3021
11450122.157-72.1573
115150126.2423.7599
116154125.90828.0918
117109100.8448.15617
1186883.5479-15.5479
119194134.77859.2219
120158131.41226.588
121159131.47427.5259
12267134.199-67.1985
123147129.88117.1191
12439129.665-90.6653
125100120.737-20.7366
126111123.509-12.5093
127138129.3428.65789
128101122.889-21.8885
12913192.155738.8443
130101130.522-29.522
131114125.496-11.4961
132165140.09524.9048
133114124.767-10.7672
134111119.342-8.34194
13575126.503-51.5031
13682123.746-41.7464
137121123.406-2.40646
13832132.625-100.625
139150136.82813.172
140117129.19-12.1897
1417184.1058-13.1058
142165121.80943.1909
143154123.06130.9391
144126125.430.570116
145149134.11214.8876
146145140.5624.43764
147120120.371-0.370929
148109135.402-26.4019
149132132.138-0.137849
150172126.60945.3906
151169135.14833.8518
152114136.733-22.7326
153156130.77625.2237
154172134.42237.578
1556889.5479-21.5479
1568985.13973.86034
157167130.30136.6994
158113135.918-22.9179
15911598.330816.6692
1607893.9905-15.9905
16111898.457319.5427
1628783.74913.2509
163173137.56235.4382
1642127.066-125.066
16516298.683163.3169
1664981.2796-32.2796
167122100.05921.9412
1689687.57558.42453
16910093.89326.10675
1708289.1163-7.11632
17110090.23469.76537
17211597.044917.9551
173141100.90940.0913
174165126.17938.8213
175165126.15638.8443
17611081.794128.2059
177118124.333-6.33278
178158135.10122.899
17914690.456955.5431
18049130.466-81.4659
1819097.4102-7.41023
18212195.748225.2518
183155134.84620.154
18410499.71254.28752
18514790.5756.43
186110101.2988.70219
187108101.2756.72522
188113101.25211.7483
18911599.383215.6168
1906196.3639-35.3639
1916088.3342-28.3342
19210976.015732.9843
1936878.7131-10.7131
19411189.502721.4973
1957790.6774-13.6774
1967391.6102-18.6102
197151141.1999.80103
1988986.44072.5593
1997888.1312-10.1312
20011091.646118.3539
201220129.63190.3685
2026588.9012-23.9012
203141127.48413.5157
20411795.52321.477
205122124.954-2.95437
2066392.1952-29.1952
20744120.317-76.3173
2085284.7239-32.7239
20913182.201648.7984
21010183.631617.3684
2114291.5879-49.5879
212152125.626.3998
213107128.258-21.2578
2147789.9113-12.9113
215154138.56915.4314
216103124.152-21.1523
2179686.80029.19983
218175125.00449.996
2195790.7665-33.7665
220112101.06210.9381
221143128.84914.1514
2224982.723-33.723
223110132.166-22.1657
224131122.4738.52685
225167126.33840.6622
2265697.6225-41.6225
227137126.48310.5174
2288683.80212.19794
229121131.083-10.0834
230149133.47715.5232
231168130.42737.573
232140127.28412.7165
2338883.8094.19097
234168124.35343.6469
23594122.787-28.7875
23651128.931-77.9312
2374894.8241-46.8241
238145121.56723.4332
23966120.85-54.8498
2408585.912-0.912023
241109132.522-23.522
2426390.6594-27.6594
24310286.059115.9409
24416296.863565.1365
2458687.0238-1.02377
24611483.333930.6661
247164131.13132.8693
248119131.127-12.1271
249126132.123-6.12281
250132119.59412.406
251142128.15413.8462
25283136.342-53.342
2539487.37446.62558
2548191.8119-10.8119
255166127.87138.1291
25611094.829415.1706
2576484.4605-20.4605
25893138.739-45.7388
25910491.283312.7167
26010579.006425.9936
2614979.0915-30.0915
2628896.5367-8.53672
2639586.31948.68064
26410285.575416.4246
2659989.72669.27344
2666379.2187-16.2187
2677698.7948-22.7948
26810985.907123.0929
26911791.160625.8394
2705790.8194-33.8194
27112093.403726.5963
2727382.5717-9.57166
2739181.02229.97784
27410893.969814.0302
27510584.412520.5875
276117137.017-20.0169
27711996.447822.5522
2783196.9523-65.9523

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 149 & 157.357 & -8.35728 \tabularnewline
2 & 139 & 143.598 & -4.59757 \tabularnewline
3 & 148 & 148.24 & -0.240224 \tabularnewline
4 & 158 & 148.657 & 9.34339 \tabularnewline
5 & 128 & 148.101 & -20.101 \tabularnewline
6 & 224 & 148.004 & 75.9957 \tabularnewline
7 & 159 & 154.232 & 4.76823 \tabularnewline
8 & 105 & 146.307 & -41.3066 \tabularnewline
9 & 159 & 151.76 & 7.23985 \tabularnewline
10 & 167 & 150.453 & 16.5468 \tabularnewline
11 & 165 & 153.015 & 11.9847 \tabularnewline
12 & 159 & 139.975 & 19.0252 \tabularnewline
13 & 119 & 142.344 & -23.3445 \tabularnewline
14 & 176 & 152.548 & 23.4516 \tabularnewline
15 & 54 & 157.516 & -103.516 \tabularnewline
16 & 91 & 114.82 & -23.8201 \tabularnewline
17 & 163 & 143.909 & 19.0909 \tabularnewline
18 & 124 & 152.103 & -28.1028 \tabularnewline
19 & 137 & 105.501 & 31.4995 \tabularnewline
20 & 121 & 145.241 & -24.241 \tabularnewline
21 & 153 & 143.651 & 9.3487 \tabularnewline
22 & 148 & 143.704 & 4.29601 \tabularnewline
23 & 221 & 150.934 & 70.0663 \tabularnewline
24 & 188 & 138.093 & 49.9067 \tabularnewline
25 & 149 & 149.717 & -0.716504 \tabularnewline
26 & 244 & 134.877 & 109.123 \tabularnewline
27 & 148 & 110.522 & 37.4781 \tabularnewline
28 & 92 & 110.301 & -18.3014 \tabularnewline
29 & 150 & 140.2 & 9.80013 \tabularnewline
30 & 153 & 144.356 & 8.6437 \tabularnewline
31 & 94 & 144.96 & -50.9602 \tabularnewline
32 & 156 & 150.029 & 5.97111 \tabularnewline
33 & 132 & 147.435 & -15.4354 \tabularnewline
34 & 161 & 143.713 & 17.2868 \tabularnewline
35 & 105 & 144.21 & -39.2098 \tabularnewline
36 & 97 & 138.511 & -41.511 \tabularnewline
37 & 151 & 145.607 & 5.39298 \tabularnewline
38 & 131 & 100.462 & 30.538 \tabularnewline
39 & 166 & 145.29 & 20.7097 \tabularnewline
40 & 157 & 152.386 & 4.61439 \tabularnewline
41 & 111 & 143.627 & -32.6267 \tabularnewline
42 & 145 & 139.456 & 5.5445 \tabularnewline
43 & 162 & 142.881 & 19.1188 \tabularnewline
44 & 163 & 141.7 & 21.3001 \tabularnewline
45 & 59 & 94.4566 & -35.4566 \tabularnewline
46 & 187 & 154.522 & 32.478 \tabularnewline
47 & 109 & 140.468 & -31.4683 \tabularnewline
48 & 90 & 97.5246 & -7.52458 \tabularnewline
49 & 105 & 156.317 & -51.3169 \tabularnewline
50 & 83 & 103.069 & -20.0693 \tabularnewline
51 & 116 & 99.9952 & 16.0048 \tabularnewline
52 & 42 & 96.811 & -54.811 \tabularnewline
53 & 148 & 136.47 & 11.5297 \tabularnewline
54 & 155 & 104.014 & 50.9862 \tabularnewline
55 & 125 & 141.967 & -16.9675 \tabularnewline
56 & 116 & 144.197 & -28.1973 \tabularnewline
57 & 128 & 105.458 & 22.5422 \tabularnewline
58 & 138 & 144.068 & -6.06847 \tabularnewline
59 & 49 & 103.522 & -54.5225 \tabularnewline
60 & 96 & 108.431 & -12.4311 \tabularnewline
61 & 164 & 150.076 & 13.9241 \tabularnewline
62 & 162 & 153.148 & 8.85174 \tabularnewline
63 & 99 & 141.155 & -42.155 \tabularnewline
64 & 202 & 141.562 & 60.4375 \tabularnewline
65 & 186 & 149.269 & 36.7312 \tabularnewline
66 & 66 & 95.9909 & -29.9909 \tabularnewline
67 & 183 & 144.034 & 38.9657 \tabularnewline
68 & 214 & 137.256 & 76.7445 \tabularnewline
69 & 188 & 141.285 & 46.7147 \tabularnewline
70 & 104 & 105.317 & -1.31691 \tabularnewline
71 & 177 & 154.892 & 22.1076 \tabularnewline
72 & 126 & 152.098 & -26.0975 \tabularnewline
73 & 76 & 112.375 & -36.3746 \tabularnewline
74 & 99 & 100.698 & -1.69842 \tabularnewline
75 & 139 & 150.625 & -11.625 \tabularnewline
76 & 162 & 158.835 & 3.16528 \tabularnewline
77 & 108 & 106.69 & 1.3103 \tabularnewline
78 & 159 & 148.84 & 10.1603 \tabularnewline
79 & 74 & 102.019 & -28.0189 \tabularnewline
80 & 110 & 144.847 & -34.8472 \tabularnewline
81 & 96 & 112.426 & -16.4259 \tabularnewline
82 & 116 & 108.819 & 7.18071 \tabularnewline
83 & 87 & 106.193 & -19.1929 \tabularnewline
84 & 97 & 95.5228 & 1.47723 \tabularnewline
85 & 127 & 104.812 & 22.1884 \tabularnewline
86 & 106 & 105.095 & 0.905124 \tabularnewline
87 & 80 & 98.8489 & -18.8489 \tabularnewline
88 & 74 & 106.589 & -32.5894 \tabularnewline
89 & 91 & 110.564 & -19.5642 \tabularnewline
90 & 133 & 104.244 & 28.7563 \tabularnewline
91 & 74 & 100.831 & -26.8306 \tabularnewline
92 & 114 & 93.1539 & 20.8461 \tabularnewline
93 & 140 & 100.318 & 39.6817 \tabularnewline
94 & 95 & 104.28 & -9.2796 \tabularnewline
95 & 98 & 98.4934 & -0.493387 \tabularnewline
96 & 121 & 111.102 & 9.89816 \tabularnewline
97 & 126 & 107.242 & 18.7581 \tabularnewline
98 & 98 & 102.242 & -4.24247 \tabularnewline
99 & 95 & 101.902 & -6.90151 \tabularnewline
100 & 110 & 96.4751 & 13.5249 \tabularnewline
101 & 70 & 99.824 & -29.824 \tabularnewline
102 & 102 & 105.078 & -3.07839 \tabularnewline
103 & 86 & 103.571 & -17.5709 \tabularnewline
104 & 130 & 98.9431 & 31.0569 \tabularnewline
105 & 96 & 100.994 & -4.99362 \tabularnewline
106 & 102 & 110.938 & -8.93802 \tabularnewline
107 & 100 & 105.144 & -5.1439 \tabularnewline
108 & 94 & 108.24 & -14.2401 \tabularnewline
109 & 52 & 107.232 & -55.2316 \tabularnewline
110 & 98 & 104.735 & -6.7347 \tabularnewline
111 & 118 & 109.849 & 8.15061 \tabularnewline
112 & 99 & 94.6923 & 4.30771 \tabularnewline
113 & 48 & 127.302 & -79.3021 \tabularnewline
114 & 50 & 122.157 & -72.1573 \tabularnewline
115 & 150 & 126.24 & 23.7599 \tabularnewline
116 & 154 & 125.908 & 28.0918 \tabularnewline
117 & 109 & 100.844 & 8.15617 \tabularnewline
118 & 68 & 83.5479 & -15.5479 \tabularnewline
119 & 194 & 134.778 & 59.2219 \tabularnewline
120 & 158 & 131.412 & 26.588 \tabularnewline
121 & 159 & 131.474 & 27.5259 \tabularnewline
122 & 67 & 134.199 & -67.1985 \tabularnewline
123 & 147 & 129.881 & 17.1191 \tabularnewline
124 & 39 & 129.665 & -90.6653 \tabularnewline
125 & 100 & 120.737 & -20.7366 \tabularnewline
126 & 111 & 123.509 & -12.5093 \tabularnewline
127 & 138 & 129.342 & 8.65789 \tabularnewline
128 & 101 & 122.889 & -21.8885 \tabularnewline
129 & 131 & 92.1557 & 38.8443 \tabularnewline
130 & 101 & 130.522 & -29.522 \tabularnewline
131 & 114 & 125.496 & -11.4961 \tabularnewline
132 & 165 & 140.095 & 24.9048 \tabularnewline
133 & 114 & 124.767 & -10.7672 \tabularnewline
134 & 111 & 119.342 & -8.34194 \tabularnewline
135 & 75 & 126.503 & -51.5031 \tabularnewline
136 & 82 & 123.746 & -41.7464 \tabularnewline
137 & 121 & 123.406 & -2.40646 \tabularnewline
138 & 32 & 132.625 & -100.625 \tabularnewline
139 & 150 & 136.828 & 13.172 \tabularnewline
140 & 117 & 129.19 & -12.1897 \tabularnewline
141 & 71 & 84.1058 & -13.1058 \tabularnewline
142 & 165 & 121.809 & 43.1909 \tabularnewline
143 & 154 & 123.061 & 30.9391 \tabularnewline
144 & 126 & 125.43 & 0.570116 \tabularnewline
145 & 149 & 134.112 & 14.8876 \tabularnewline
146 & 145 & 140.562 & 4.43764 \tabularnewline
147 & 120 & 120.371 & -0.370929 \tabularnewline
148 & 109 & 135.402 & -26.4019 \tabularnewline
149 & 132 & 132.138 & -0.137849 \tabularnewline
150 & 172 & 126.609 & 45.3906 \tabularnewline
151 & 169 & 135.148 & 33.8518 \tabularnewline
152 & 114 & 136.733 & -22.7326 \tabularnewline
153 & 156 & 130.776 & 25.2237 \tabularnewline
154 & 172 & 134.422 & 37.578 \tabularnewline
155 & 68 & 89.5479 & -21.5479 \tabularnewline
156 & 89 & 85.1397 & 3.86034 \tabularnewline
157 & 167 & 130.301 & 36.6994 \tabularnewline
158 & 113 & 135.918 & -22.9179 \tabularnewline
159 & 115 & 98.3308 & 16.6692 \tabularnewline
160 & 78 & 93.9905 & -15.9905 \tabularnewline
161 & 118 & 98.4573 & 19.5427 \tabularnewline
162 & 87 & 83.7491 & 3.2509 \tabularnewline
163 & 173 & 137.562 & 35.4382 \tabularnewline
164 & 2 & 127.066 & -125.066 \tabularnewline
165 & 162 & 98.6831 & 63.3169 \tabularnewline
166 & 49 & 81.2796 & -32.2796 \tabularnewline
167 & 122 & 100.059 & 21.9412 \tabularnewline
168 & 96 & 87.5755 & 8.42453 \tabularnewline
169 & 100 & 93.8932 & 6.10675 \tabularnewline
170 & 82 & 89.1163 & -7.11632 \tabularnewline
171 & 100 & 90.2346 & 9.76537 \tabularnewline
172 & 115 & 97.0449 & 17.9551 \tabularnewline
173 & 141 & 100.909 & 40.0913 \tabularnewline
174 & 165 & 126.179 & 38.8213 \tabularnewline
175 & 165 & 126.156 & 38.8443 \tabularnewline
176 & 110 & 81.7941 & 28.2059 \tabularnewline
177 & 118 & 124.333 & -6.33278 \tabularnewline
178 & 158 & 135.101 & 22.899 \tabularnewline
179 & 146 & 90.4569 & 55.5431 \tabularnewline
180 & 49 & 130.466 & -81.4659 \tabularnewline
181 & 90 & 97.4102 & -7.41023 \tabularnewline
182 & 121 & 95.7482 & 25.2518 \tabularnewline
183 & 155 & 134.846 & 20.154 \tabularnewline
184 & 104 & 99.7125 & 4.28752 \tabularnewline
185 & 147 & 90.57 & 56.43 \tabularnewline
186 & 110 & 101.298 & 8.70219 \tabularnewline
187 & 108 & 101.275 & 6.72522 \tabularnewline
188 & 113 & 101.252 & 11.7483 \tabularnewline
189 & 115 & 99.3832 & 15.6168 \tabularnewline
190 & 61 & 96.3639 & -35.3639 \tabularnewline
191 & 60 & 88.3342 & -28.3342 \tabularnewline
192 & 109 & 76.0157 & 32.9843 \tabularnewline
193 & 68 & 78.7131 & -10.7131 \tabularnewline
194 & 111 & 89.5027 & 21.4973 \tabularnewline
195 & 77 & 90.6774 & -13.6774 \tabularnewline
196 & 73 & 91.6102 & -18.6102 \tabularnewline
197 & 151 & 141.199 & 9.80103 \tabularnewline
198 & 89 & 86.4407 & 2.5593 \tabularnewline
199 & 78 & 88.1312 & -10.1312 \tabularnewline
200 & 110 & 91.6461 & 18.3539 \tabularnewline
201 & 220 & 129.631 & 90.3685 \tabularnewline
202 & 65 & 88.9012 & -23.9012 \tabularnewline
203 & 141 & 127.484 & 13.5157 \tabularnewline
204 & 117 & 95.523 & 21.477 \tabularnewline
205 & 122 & 124.954 & -2.95437 \tabularnewline
206 & 63 & 92.1952 & -29.1952 \tabularnewline
207 & 44 & 120.317 & -76.3173 \tabularnewline
208 & 52 & 84.7239 & -32.7239 \tabularnewline
209 & 131 & 82.2016 & 48.7984 \tabularnewline
210 & 101 & 83.6316 & 17.3684 \tabularnewline
211 & 42 & 91.5879 & -49.5879 \tabularnewline
212 & 152 & 125.6 & 26.3998 \tabularnewline
213 & 107 & 128.258 & -21.2578 \tabularnewline
214 & 77 & 89.9113 & -12.9113 \tabularnewline
215 & 154 & 138.569 & 15.4314 \tabularnewline
216 & 103 & 124.152 & -21.1523 \tabularnewline
217 & 96 & 86.8002 & 9.19983 \tabularnewline
218 & 175 & 125.004 & 49.996 \tabularnewline
219 & 57 & 90.7665 & -33.7665 \tabularnewline
220 & 112 & 101.062 & 10.9381 \tabularnewline
221 & 143 & 128.849 & 14.1514 \tabularnewline
222 & 49 & 82.723 & -33.723 \tabularnewline
223 & 110 & 132.166 & -22.1657 \tabularnewline
224 & 131 & 122.473 & 8.52685 \tabularnewline
225 & 167 & 126.338 & 40.6622 \tabularnewline
226 & 56 & 97.6225 & -41.6225 \tabularnewline
227 & 137 & 126.483 & 10.5174 \tabularnewline
228 & 86 & 83.8021 & 2.19794 \tabularnewline
229 & 121 & 131.083 & -10.0834 \tabularnewline
230 & 149 & 133.477 & 15.5232 \tabularnewline
231 & 168 & 130.427 & 37.573 \tabularnewline
232 & 140 & 127.284 & 12.7165 \tabularnewline
233 & 88 & 83.809 & 4.19097 \tabularnewline
234 & 168 & 124.353 & 43.6469 \tabularnewline
235 & 94 & 122.787 & -28.7875 \tabularnewline
236 & 51 & 128.931 & -77.9312 \tabularnewline
237 & 48 & 94.8241 & -46.8241 \tabularnewline
238 & 145 & 121.567 & 23.4332 \tabularnewline
239 & 66 & 120.85 & -54.8498 \tabularnewline
240 & 85 & 85.912 & -0.912023 \tabularnewline
241 & 109 & 132.522 & -23.522 \tabularnewline
242 & 63 & 90.6594 & -27.6594 \tabularnewline
243 & 102 & 86.0591 & 15.9409 \tabularnewline
244 & 162 & 96.8635 & 65.1365 \tabularnewline
245 & 86 & 87.0238 & -1.02377 \tabularnewline
246 & 114 & 83.3339 & 30.6661 \tabularnewline
247 & 164 & 131.131 & 32.8693 \tabularnewline
248 & 119 & 131.127 & -12.1271 \tabularnewline
249 & 126 & 132.123 & -6.12281 \tabularnewline
250 & 132 & 119.594 & 12.406 \tabularnewline
251 & 142 & 128.154 & 13.8462 \tabularnewline
252 & 83 & 136.342 & -53.342 \tabularnewline
253 & 94 & 87.3744 & 6.62558 \tabularnewline
254 & 81 & 91.8119 & -10.8119 \tabularnewline
255 & 166 & 127.871 & 38.1291 \tabularnewline
256 & 110 & 94.8294 & 15.1706 \tabularnewline
257 & 64 & 84.4605 & -20.4605 \tabularnewline
258 & 93 & 138.739 & -45.7388 \tabularnewline
259 & 104 & 91.2833 & 12.7167 \tabularnewline
260 & 105 & 79.0064 & 25.9936 \tabularnewline
261 & 49 & 79.0915 & -30.0915 \tabularnewline
262 & 88 & 96.5367 & -8.53672 \tabularnewline
263 & 95 & 86.3194 & 8.68064 \tabularnewline
264 & 102 & 85.5754 & 16.4246 \tabularnewline
265 & 99 & 89.7266 & 9.27344 \tabularnewline
266 & 63 & 79.2187 & -16.2187 \tabularnewline
267 & 76 & 98.7948 & -22.7948 \tabularnewline
268 & 109 & 85.9071 & 23.0929 \tabularnewline
269 & 117 & 91.1606 & 25.8394 \tabularnewline
270 & 57 & 90.8194 & -33.8194 \tabularnewline
271 & 120 & 93.4037 & 26.5963 \tabularnewline
272 & 73 & 82.5717 & -9.57166 \tabularnewline
273 & 91 & 81.0222 & 9.97784 \tabularnewline
274 & 108 & 93.9698 & 14.0302 \tabularnewline
275 & 105 & 84.4125 & 20.5875 \tabularnewline
276 & 117 & 137.017 & -20.0169 \tabularnewline
277 & 119 & 96.4478 & 22.5522 \tabularnewline
278 & 31 & 96.9523 & -65.9523 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271905&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]157.357[/C][C]-8.35728[/C][/ROW]
[ROW][C]2[/C][C]139[/C][C]143.598[/C][C]-4.59757[/C][/ROW]
[ROW][C]3[/C][C]148[/C][C]148.24[/C][C]-0.240224[/C][/ROW]
[ROW][C]4[/C][C]158[/C][C]148.657[/C][C]9.34339[/C][/ROW]
[ROW][C]5[/C][C]128[/C][C]148.101[/C][C]-20.101[/C][/ROW]
[ROW][C]6[/C][C]224[/C][C]148.004[/C][C]75.9957[/C][/ROW]
[ROW][C]7[/C][C]159[/C][C]154.232[/C][C]4.76823[/C][/ROW]
[ROW][C]8[/C][C]105[/C][C]146.307[/C][C]-41.3066[/C][/ROW]
[ROW][C]9[/C][C]159[/C][C]151.76[/C][C]7.23985[/C][/ROW]
[ROW][C]10[/C][C]167[/C][C]150.453[/C][C]16.5468[/C][/ROW]
[ROW][C]11[/C][C]165[/C][C]153.015[/C][C]11.9847[/C][/ROW]
[ROW][C]12[/C][C]159[/C][C]139.975[/C][C]19.0252[/C][/ROW]
[ROW][C]13[/C][C]119[/C][C]142.344[/C][C]-23.3445[/C][/ROW]
[ROW][C]14[/C][C]176[/C][C]152.548[/C][C]23.4516[/C][/ROW]
[ROW][C]15[/C][C]54[/C][C]157.516[/C][C]-103.516[/C][/ROW]
[ROW][C]16[/C][C]91[/C][C]114.82[/C][C]-23.8201[/C][/ROW]
[ROW][C]17[/C][C]163[/C][C]143.909[/C][C]19.0909[/C][/ROW]
[ROW][C]18[/C][C]124[/C][C]152.103[/C][C]-28.1028[/C][/ROW]
[ROW][C]19[/C][C]137[/C][C]105.501[/C][C]31.4995[/C][/ROW]
[ROW][C]20[/C][C]121[/C][C]145.241[/C][C]-24.241[/C][/ROW]
[ROW][C]21[/C][C]153[/C][C]143.651[/C][C]9.3487[/C][/ROW]
[ROW][C]22[/C][C]148[/C][C]143.704[/C][C]4.29601[/C][/ROW]
[ROW][C]23[/C][C]221[/C][C]150.934[/C][C]70.0663[/C][/ROW]
[ROW][C]24[/C][C]188[/C][C]138.093[/C][C]49.9067[/C][/ROW]
[ROW][C]25[/C][C]149[/C][C]149.717[/C][C]-0.716504[/C][/ROW]
[ROW][C]26[/C][C]244[/C][C]134.877[/C][C]109.123[/C][/ROW]
[ROW][C]27[/C][C]148[/C][C]110.522[/C][C]37.4781[/C][/ROW]
[ROW][C]28[/C][C]92[/C][C]110.301[/C][C]-18.3014[/C][/ROW]
[ROW][C]29[/C][C]150[/C][C]140.2[/C][C]9.80013[/C][/ROW]
[ROW][C]30[/C][C]153[/C][C]144.356[/C][C]8.6437[/C][/ROW]
[ROW][C]31[/C][C]94[/C][C]144.96[/C][C]-50.9602[/C][/ROW]
[ROW][C]32[/C][C]156[/C][C]150.029[/C][C]5.97111[/C][/ROW]
[ROW][C]33[/C][C]132[/C][C]147.435[/C][C]-15.4354[/C][/ROW]
[ROW][C]34[/C][C]161[/C][C]143.713[/C][C]17.2868[/C][/ROW]
[ROW][C]35[/C][C]105[/C][C]144.21[/C][C]-39.2098[/C][/ROW]
[ROW][C]36[/C][C]97[/C][C]138.511[/C][C]-41.511[/C][/ROW]
[ROW][C]37[/C][C]151[/C][C]145.607[/C][C]5.39298[/C][/ROW]
[ROW][C]38[/C][C]131[/C][C]100.462[/C][C]30.538[/C][/ROW]
[ROW][C]39[/C][C]166[/C][C]145.29[/C][C]20.7097[/C][/ROW]
[ROW][C]40[/C][C]157[/C][C]152.386[/C][C]4.61439[/C][/ROW]
[ROW][C]41[/C][C]111[/C][C]143.627[/C][C]-32.6267[/C][/ROW]
[ROW][C]42[/C][C]145[/C][C]139.456[/C][C]5.5445[/C][/ROW]
[ROW][C]43[/C][C]162[/C][C]142.881[/C][C]19.1188[/C][/ROW]
[ROW][C]44[/C][C]163[/C][C]141.7[/C][C]21.3001[/C][/ROW]
[ROW][C]45[/C][C]59[/C][C]94.4566[/C][C]-35.4566[/C][/ROW]
[ROW][C]46[/C][C]187[/C][C]154.522[/C][C]32.478[/C][/ROW]
[ROW][C]47[/C][C]109[/C][C]140.468[/C][C]-31.4683[/C][/ROW]
[ROW][C]48[/C][C]90[/C][C]97.5246[/C][C]-7.52458[/C][/ROW]
[ROW][C]49[/C][C]105[/C][C]156.317[/C][C]-51.3169[/C][/ROW]
[ROW][C]50[/C][C]83[/C][C]103.069[/C][C]-20.0693[/C][/ROW]
[ROW][C]51[/C][C]116[/C][C]99.9952[/C][C]16.0048[/C][/ROW]
[ROW][C]52[/C][C]42[/C][C]96.811[/C][C]-54.811[/C][/ROW]
[ROW][C]53[/C][C]148[/C][C]136.47[/C][C]11.5297[/C][/ROW]
[ROW][C]54[/C][C]155[/C][C]104.014[/C][C]50.9862[/C][/ROW]
[ROW][C]55[/C][C]125[/C][C]141.967[/C][C]-16.9675[/C][/ROW]
[ROW][C]56[/C][C]116[/C][C]144.197[/C][C]-28.1973[/C][/ROW]
[ROW][C]57[/C][C]128[/C][C]105.458[/C][C]22.5422[/C][/ROW]
[ROW][C]58[/C][C]138[/C][C]144.068[/C][C]-6.06847[/C][/ROW]
[ROW][C]59[/C][C]49[/C][C]103.522[/C][C]-54.5225[/C][/ROW]
[ROW][C]60[/C][C]96[/C][C]108.431[/C][C]-12.4311[/C][/ROW]
[ROW][C]61[/C][C]164[/C][C]150.076[/C][C]13.9241[/C][/ROW]
[ROW][C]62[/C][C]162[/C][C]153.148[/C][C]8.85174[/C][/ROW]
[ROW][C]63[/C][C]99[/C][C]141.155[/C][C]-42.155[/C][/ROW]
[ROW][C]64[/C][C]202[/C][C]141.562[/C][C]60.4375[/C][/ROW]
[ROW][C]65[/C][C]186[/C][C]149.269[/C][C]36.7312[/C][/ROW]
[ROW][C]66[/C][C]66[/C][C]95.9909[/C][C]-29.9909[/C][/ROW]
[ROW][C]67[/C][C]183[/C][C]144.034[/C][C]38.9657[/C][/ROW]
[ROW][C]68[/C][C]214[/C][C]137.256[/C][C]76.7445[/C][/ROW]
[ROW][C]69[/C][C]188[/C][C]141.285[/C][C]46.7147[/C][/ROW]
[ROW][C]70[/C][C]104[/C][C]105.317[/C][C]-1.31691[/C][/ROW]
[ROW][C]71[/C][C]177[/C][C]154.892[/C][C]22.1076[/C][/ROW]
[ROW][C]72[/C][C]126[/C][C]152.098[/C][C]-26.0975[/C][/ROW]
[ROW][C]73[/C][C]76[/C][C]112.375[/C][C]-36.3746[/C][/ROW]
[ROW][C]74[/C][C]99[/C][C]100.698[/C][C]-1.69842[/C][/ROW]
[ROW][C]75[/C][C]139[/C][C]150.625[/C][C]-11.625[/C][/ROW]
[ROW][C]76[/C][C]162[/C][C]158.835[/C][C]3.16528[/C][/ROW]
[ROW][C]77[/C][C]108[/C][C]106.69[/C][C]1.3103[/C][/ROW]
[ROW][C]78[/C][C]159[/C][C]148.84[/C][C]10.1603[/C][/ROW]
[ROW][C]79[/C][C]74[/C][C]102.019[/C][C]-28.0189[/C][/ROW]
[ROW][C]80[/C][C]110[/C][C]144.847[/C][C]-34.8472[/C][/ROW]
[ROW][C]81[/C][C]96[/C][C]112.426[/C][C]-16.4259[/C][/ROW]
[ROW][C]82[/C][C]116[/C][C]108.819[/C][C]7.18071[/C][/ROW]
[ROW][C]83[/C][C]87[/C][C]106.193[/C][C]-19.1929[/C][/ROW]
[ROW][C]84[/C][C]97[/C][C]95.5228[/C][C]1.47723[/C][/ROW]
[ROW][C]85[/C][C]127[/C][C]104.812[/C][C]22.1884[/C][/ROW]
[ROW][C]86[/C][C]106[/C][C]105.095[/C][C]0.905124[/C][/ROW]
[ROW][C]87[/C][C]80[/C][C]98.8489[/C][C]-18.8489[/C][/ROW]
[ROW][C]88[/C][C]74[/C][C]106.589[/C][C]-32.5894[/C][/ROW]
[ROW][C]89[/C][C]91[/C][C]110.564[/C][C]-19.5642[/C][/ROW]
[ROW][C]90[/C][C]133[/C][C]104.244[/C][C]28.7563[/C][/ROW]
[ROW][C]91[/C][C]74[/C][C]100.831[/C][C]-26.8306[/C][/ROW]
[ROW][C]92[/C][C]114[/C][C]93.1539[/C][C]20.8461[/C][/ROW]
[ROW][C]93[/C][C]140[/C][C]100.318[/C][C]39.6817[/C][/ROW]
[ROW][C]94[/C][C]95[/C][C]104.28[/C][C]-9.2796[/C][/ROW]
[ROW][C]95[/C][C]98[/C][C]98.4934[/C][C]-0.493387[/C][/ROW]
[ROW][C]96[/C][C]121[/C][C]111.102[/C][C]9.89816[/C][/ROW]
[ROW][C]97[/C][C]126[/C][C]107.242[/C][C]18.7581[/C][/ROW]
[ROW][C]98[/C][C]98[/C][C]102.242[/C][C]-4.24247[/C][/ROW]
[ROW][C]99[/C][C]95[/C][C]101.902[/C][C]-6.90151[/C][/ROW]
[ROW][C]100[/C][C]110[/C][C]96.4751[/C][C]13.5249[/C][/ROW]
[ROW][C]101[/C][C]70[/C][C]99.824[/C][C]-29.824[/C][/ROW]
[ROW][C]102[/C][C]102[/C][C]105.078[/C][C]-3.07839[/C][/ROW]
[ROW][C]103[/C][C]86[/C][C]103.571[/C][C]-17.5709[/C][/ROW]
[ROW][C]104[/C][C]130[/C][C]98.9431[/C][C]31.0569[/C][/ROW]
[ROW][C]105[/C][C]96[/C][C]100.994[/C][C]-4.99362[/C][/ROW]
[ROW][C]106[/C][C]102[/C][C]110.938[/C][C]-8.93802[/C][/ROW]
[ROW][C]107[/C][C]100[/C][C]105.144[/C][C]-5.1439[/C][/ROW]
[ROW][C]108[/C][C]94[/C][C]108.24[/C][C]-14.2401[/C][/ROW]
[ROW][C]109[/C][C]52[/C][C]107.232[/C][C]-55.2316[/C][/ROW]
[ROW][C]110[/C][C]98[/C][C]104.735[/C][C]-6.7347[/C][/ROW]
[ROW][C]111[/C][C]118[/C][C]109.849[/C][C]8.15061[/C][/ROW]
[ROW][C]112[/C][C]99[/C][C]94.6923[/C][C]4.30771[/C][/ROW]
[ROW][C]113[/C][C]48[/C][C]127.302[/C][C]-79.3021[/C][/ROW]
[ROW][C]114[/C][C]50[/C][C]122.157[/C][C]-72.1573[/C][/ROW]
[ROW][C]115[/C][C]150[/C][C]126.24[/C][C]23.7599[/C][/ROW]
[ROW][C]116[/C][C]154[/C][C]125.908[/C][C]28.0918[/C][/ROW]
[ROW][C]117[/C][C]109[/C][C]100.844[/C][C]8.15617[/C][/ROW]
[ROW][C]118[/C][C]68[/C][C]83.5479[/C][C]-15.5479[/C][/ROW]
[ROW][C]119[/C][C]194[/C][C]134.778[/C][C]59.2219[/C][/ROW]
[ROW][C]120[/C][C]158[/C][C]131.412[/C][C]26.588[/C][/ROW]
[ROW][C]121[/C][C]159[/C][C]131.474[/C][C]27.5259[/C][/ROW]
[ROW][C]122[/C][C]67[/C][C]134.199[/C][C]-67.1985[/C][/ROW]
[ROW][C]123[/C][C]147[/C][C]129.881[/C][C]17.1191[/C][/ROW]
[ROW][C]124[/C][C]39[/C][C]129.665[/C][C]-90.6653[/C][/ROW]
[ROW][C]125[/C][C]100[/C][C]120.737[/C][C]-20.7366[/C][/ROW]
[ROW][C]126[/C][C]111[/C][C]123.509[/C][C]-12.5093[/C][/ROW]
[ROW][C]127[/C][C]138[/C][C]129.342[/C][C]8.65789[/C][/ROW]
[ROW][C]128[/C][C]101[/C][C]122.889[/C][C]-21.8885[/C][/ROW]
[ROW][C]129[/C][C]131[/C][C]92.1557[/C][C]38.8443[/C][/ROW]
[ROW][C]130[/C][C]101[/C][C]130.522[/C][C]-29.522[/C][/ROW]
[ROW][C]131[/C][C]114[/C][C]125.496[/C][C]-11.4961[/C][/ROW]
[ROW][C]132[/C][C]165[/C][C]140.095[/C][C]24.9048[/C][/ROW]
[ROW][C]133[/C][C]114[/C][C]124.767[/C][C]-10.7672[/C][/ROW]
[ROW][C]134[/C][C]111[/C][C]119.342[/C][C]-8.34194[/C][/ROW]
[ROW][C]135[/C][C]75[/C][C]126.503[/C][C]-51.5031[/C][/ROW]
[ROW][C]136[/C][C]82[/C][C]123.746[/C][C]-41.7464[/C][/ROW]
[ROW][C]137[/C][C]121[/C][C]123.406[/C][C]-2.40646[/C][/ROW]
[ROW][C]138[/C][C]32[/C][C]132.625[/C][C]-100.625[/C][/ROW]
[ROW][C]139[/C][C]150[/C][C]136.828[/C][C]13.172[/C][/ROW]
[ROW][C]140[/C][C]117[/C][C]129.19[/C][C]-12.1897[/C][/ROW]
[ROW][C]141[/C][C]71[/C][C]84.1058[/C][C]-13.1058[/C][/ROW]
[ROW][C]142[/C][C]165[/C][C]121.809[/C][C]43.1909[/C][/ROW]
[ROW][C]143[/C][C]154[/C][C]123.061[/C][C]30.9391[/C][/ROW]
[ROW][C]144[/C][C]126[/C][C]125.43[/C][C]0.570116[/C][/ROW]
[ROW][C]145[/C][C]149[/C][C]134.112[/C][C]14.8876[/C][/ROW]
[ROW][C]146[/C][C]145[/C][C]140.562[/C][C]4.43764[/C][/ROW]
[ROW][C]147[/C][C]120[/C][C]120.371[/C][C]-0.370929[/C][/ROW]
[ROW][C]148[/C][C]109[/C][C]135.402[/C][C]-26.4019[/C][/ROW]
[ROW][C]149[/C][C]132[/C][C]132.138[/C][C]-0.137849[/C][/ROW]
[ROW][C]150[/C][C]172[/C][C]126.609[/C][C]45.3906[/C][/ROW]
[ROW][C]151[/C][C]169[/C][C]135.148[/C][C]33.8518[/C][/ROW]
[ROW][C]152[/C][C]114[/C][C]136.733[/C][C]-22.7326[/C][/ROW]
[ROW][C]153[/C][C]156[/C][C]130.776[/C][C]25.2237[/C][/ROW]
[ROW][C]154[/C][C]172[/C][C]134.422[/C][C]37.578[/C][/ROW]
[ROW][C]155[/C][C]68[/C][C]89.5479[/C][C]-21.5479[/C][/ROW]
[ROW][C]156[/C][C]89[/C][C]85.1397[/C][C]3.86034[/C][/ROW]
[ROW][C]157[/C][C]167[/C][C]130.301[/C][C]36.6994[/C][/ROW]
[ROW][C]158[/C][C]113[/C][C]135.918[/C][C]-22.9179[/C][/ROW]
[ROW][C]159[/C][C]115[/C][C]98.3308[/C][C]16.6692[/C][/ROW]
[ROW][C]160[/C][C]78[/C][C]93.9905[/C][C]-15.9905[/C][/ROW]
[ROW][C]161[/C][C]118[/C][C]98.4573[/C][C]19.5427[/C][/ROW]
[ROW][C]162[/C][C]87[/C][C]83.7491[/C][C]3.2509[/C][/ROW]
[ROW][C]163[/C][C]173[/C][C]137.562[/C][C]35.4382[/C][/ROW]
[ROW][C]164[/C][C]2[/C][C]127.066[/C][C]-125.066[/C][/ROW]
[ROW][C]165[/C][C]162[/C][C]98.6831[/C][C]63.3169[/C][/ROW]
[ROW][C]166[/C][C]49[/C][C]81.2796[/C][C]-32.2796[/C][/ROW]
[ROW][C]167[/C][C]122[/C][C]100.059[/C][C]21.9412[/C][/ROW]
[ROW][C]168[/C][C]96[/C][C]87.5755[/C][C]8.42453[/C][/ROW]
[ROW][C]169[/C][C]100[/C][C]93.8932[/C][C]6.10675[/C][/ROW]
[ROW][C]170[/C][C]82[/C][C]89.1163[/C][C]-7.11632[/C][/ROW]
[ROW][C]171[/C][C]100[/C][C]90.2346[/C][C]9.76537[/C][/ROW]
[ROW][C]172[/C][C]115[/C][C]97.0449[/C][C]17.9551[/C][/ROW]
[ROW][C]173[/C][C]141[/C][C]100.909[/C][C]40.0913[/C][/ROW]
[ROW][C]174[/C][C]165[/C][C]126.179[/C][C]38.8213[/C][/ROW]
[ROW][C]175[/C][C]165[/C][C]126.156[/C][C]38.8443[/C][/ROW]
[ROW][C]176[/C][C]110[/C][C]81.7941[/C][C]28.2059[/C][/ROW]
[ROW][C]177[/C][C]118[/C][C]124.333[/C][C]-6.33278[/C][/ROW]
[ROW][C]178[/C][C]158[/C][C]135.101[/C][C]22.899[/C][/ROW]
[ROW][C]179[/C][C]146[/C][C]90.4569[/C][C]55.5431[/C][/ROW]
[ROW][C]180[/C][C]49[/C][C]130.466[/C][C]-81.4659[/C][/ROW]
[ROW][C]181[/C][C]90[/C][C]97.4102[/C][C]-7.41023[/C][/ROW]
[ROW][C]182[/C][C]121[/C][C]95.7482[/C][C]25.2518[/C][/ROW]
[ROW][C]183[/C][C]155[/C][C]134.846[/C][C]20.154[/C][/ROW]
[ROW][C]184[/C][C]104[/C][C]99.7125[/C][C]4.28752[/C][/ROW]
[ROW][C]185[/C][C]147[/C][C]90.57[/C][C]56.43[/C][/ROW]
[ROW][C]186[/C][C]110[/C][C]101.298[/C][C]8.70219[/C][/ROW]
[ROW][C]187[/C][C]108[/C][C]101.275[/C][C]6.72522[/C][/ROW]
[ROW][C]188[/C][C]113[/C][C]101.252[/C][C]11.7483[/C][/ROW]
[ROW][C]189[/C][C]115[/C][C]99.3832[/C][C]15.6168[/C][/ROW]
[ROW][C]190[/C][C]61[/C][C]96.3639[/C][C]-35.3639[/C][/ROW]
[ROW][C]191[/C][C]60[/C][C]88.3342[/C][C]-28.3342[/C][/ROW]
[ROW][C]192[/C][C]109[/C][C]76.0157[/C][C]32.9843[/C][/ROW]
[ROW][C]193[/C][C]68[/C][C]78.7131[/C][C]-10.7131[/C][/ROW]
[ROW][C]194[/C][C]111[/C][C]89.5027[/C][C]21.4973[/C][/ROW]
[ROW][C]195[/C][C]77[/C][C]90.6774[/C][C]-13.6774[/C][/ROW]
[ROW][C]196[/C][C]73[/C][C]91.6102[/C][C]-18.6102[/C][/ROW]
[ROW][C]197[/C][C]151[/C][C]141.199[/C][C]9.80103[/C][/ROW]
[ROW][C]198[/C][C]89[/C][C]86.4407[/C][C]2.5593[/C][/ROW]
[ROW][C]199[/C][C]78[/C][C]88.1312[/C][C]-10.1312[/C][/ROW]
[ROW][C]200[/C][C]110[/C][C]91.6461[/C][C]18.3539[/C][/ROW]
[ROW][C]201[/C][C]220[/C][C]129.631[/C][C]90.3685[/C][/ROW]
[ROW][C]202[/C][C]65[/C][C]88.9012[/C][C]-23.9012[/C][/ROW]
[ROW][C]203[/C][C]141[/C][C]127.484[/C][C]13.5157[/C][/ROW]
[ROW][C]204[/C][C]117[/C][C]95.523[/C][C]21.477[/C][/ROW]
[ROW][C]205[/C][C]122[/C][C]124.954[/C][C]-2.95437[/C][/ROW]
[ROW][C]206[/C][C]63[/C][C]92.1952[/C][C]-29.1952[/C][/ROW]
[ROW][C]207[/C][C]44[/C][C]120.317[/C][C]-76.3173[/C][/ROW]
[ROW][C]208[/C][C]52[/C][C]84.7239[/C][C]-32.7239[/C][/ROW]
[ROW][C]209[/C][C]131[/C][C]82.2016[/C][C]48.7984[/C][/ROW]
[ROW][C]210[/C][C]101[/C][C]83.6316[/C][C]17.3684[/C][/ROW]
[ROW][C]211[/C][C]42[/C][C]91.5879[/C][C]-49.5879[/C][/ROW]
[ROW][C]212[/C][C]152[/C][C]125.6[/C][C]26.3998[/C][/ROW]
[ROW][C]213[/C][C]107[/C][C]128.258[/C][C]-21.2578[/C][/ROW]
[ROW][C]214[/C][C]77[/C][C]89.9113[/C][C]-12.9113[/C][/ROW]
[ROW][C]215[/C][C]154[/C][C]138.569[/C][C]15.4314[/C][/ROW]
[ROW][C]216[/C][C]103[/C][C]124.152[/C][C]-21.1523[/C][/ROW]
[ROW][C]217[/C][C]96[/C][C]86.8002[/C][C]9.19983[/C][/ROW]
[ROW][C]218[/C][C]175[/C][C]125.004[/C][C]49.996[/C][/ROW]
[ROW][C]219[/C][C]57[/C][C]90.7665[/C][C]-33.7665[/C][/ROW]
[ROW][C]220[/C][C]112[/C][C]101.062[/C][C]10.9381[/C][/ROW]
[ROW][C]221[/C][C]143[/C][C]128.849[/C][C]14.1514[/C][/ROW]
[ROW][C]222[/C][C]49[/C][C]82.723[/C][C]-33.723[/C][/ROW]
[ROW][C]223[/C][C]110[/C][C]132.166[/C][C]-22.1657[/C][/ROW]
[ROW][C]224[/C][C]131[/C][C]122.473[/C][C]8.52685[/C][/ROW]
[ROW][C]225[/C][C]167[/C][C]126.338[/C][C]40.6622[/C][/ROW]
[ROW][C]226[/C][C]56[/C][C]97.6225[/C][C]-41.6225[/C][/ROW]
[ROW][C]227[/C][C]137[/C][C]126.483[/C][C]10.5174[/C][/ROW]
[ROW][C]228[/C][C]86[/C][C]83.8021[/C][C]2.19794[/C][/ROW]
[ROW][C]229[/C][C]121[/C][C]131.083[/C][C]-10.0834[/C][/ROW]
[ROW][C]230[/C][C]149[/C][C]133.477[/C][C]15.5232[/C][/ROW]
[ROW][C]231[/C][C]168[/C][C]130.427[/C][C]37.573[/C][/ROW]
[ROW][C]232[/C][C]140[/C][C]127.284[/C][C]12.7165[/C][/ROW]
[ROW][C]233[/C][C]88[/C][C]83.809[/C][C]4.19097[/C][/ROW]
[ROW][C]234[/C][C]168[/C][C]124.353[/C][C]43.6469[/C][/ROW]
[ROW][C]235[/C][C]94[/C][C]122.787[/C][C]-28.7875[/C][/ROW]
[ROW][C]236[/C][C]51[/C][C]128.931[/C][C]-77.9312[/C][/ROW]
[ROW][C]237[/C][C]48[/C][C]94.8241[/C][C]-46.8241[/C][/ROW]
[ROW][C]238[/C][C]145[/C][C]121.567[/C][C]23.4332[/C][/ROW]
[ROW][C]239[/C][C]66[/C][C]120.85[/C][C]-54.8498[/C][/ROW]
[ROW][C]240[/C][C]85[/C][C]85.912[/C][C]-0.912023[/C][/ROW]
[ROW][C]241[/C][C]109[/C][C]132.522[/C][C]-23.522[/C][/ROW]
[ROW][C]242[/C][C]63[/C][C]90.6594[/C][C]-27.6594[/C][/ROW]
[ROW][C]243[/C][C]102[/C][C]86.0591[/C][C]15.9409[/C][/ROW]
[ROW][C]244[/C][C]162[/C][C]96.8635[/C][C]65.1365[/C][/ROW]
[ROW][C]245[/C][C]86[/C][C]87.0238[/C][C]-1.02377[/C][/ROW]
[ROW][C]246[/C][C]114[/C][C]83.3339[/C][C]30.6661[/C][/ROW]
[ROW][C]247[/C][C]164[/C][C]131.131[/C][C]32.8693[/C][/ROW]
[ROW][C]248[/C][C]119[/C][C]131.127[/C][C]-12.1271[/C][/ROW]
[ROW][C]249[/C][C]126[/C][C]132.123[/C][C]-6.12281[/C][/ROW]
[ROW][C]250[/C][C]132[/C][C]119.594[/C][C]12.406[/C][/ROW]
[ROW][C]251[/C][C]142[/C][C]128.154[/C][C]13.8462[/C][/ROW]
[ROW][C]252[/C][C]83[/C][C]136.342[/C][C]-53.342[/C][/ROW]
[ROW][C]253[/C][C]94[/C][C]87.3744[/C][C]6.62558[/C][/ROW]
[ROW][C]254[/C][C]81[/C][C]91.8119[/C][C]-10.8119[/C][/ROW]
[ROW][C]255[/C][C]166[/C][C]127.871[/C][C]38.1291[/C][/ROW]
[ROW][C]256[/C][C]110[/C][C]94.8294[/C][C]15.1706[/C][/ROW]
[ROW][C]257[/C][C]64[/C][C]84.4605[/C][C]-20.4605[/C][/ROW]
[ROW][C]258[/C][C]93[/C][C]138.739[/C][C]-45.7388[/C][/ROW]
[ROW][C]259[/C][C]104[/C][C]91.2833[/C][C]12.7167[/C][/ROW]
[ROW][C]260[/C][C]105[/C][C]79.0064[/C][C]25.9936[/C][/ROW]
[ROW][C]261[/C][C]49[/C][C]79.0915[/C][C]-30.0915[/C][/ROW]
[ROW][C]262[/C][C]88[/C][C]96.5367[/C][C]-8.53672[/C][/ROW]
[ROW][C]263[/C][C]95[/C][C]86.3194[/C][C]8.68064[/C][/ROW]
[ROW][C]264[/C][C]102[/C][C]85.5754[/C][C]16.4246[/C][/ROW]
[ROW][C]265[/C][C]99[/C][C]89.7266[/C][C]9.27344[/C][/ROW]
[ROW][C]266[/C][C]63[/C][C]79.2187[/C][C]-16.2187[/C][/ROW]
[ROW][C]267[/C][C]76[/C][C]98.7948[/C][C]-22.7948[/C][/ROW]
[ROW][C]268[/C][C]109[/C][C]85.9071[/C][C]23.0929[/C][/ROW]
[ROW][C]269[/C][C]117[/C][C]91.1606[/C][C]25.8394[/C][/ROW]
[ROW][C]270[/C][C]57[/C][C]90.8194[/C][C]-33.8194[/C][/ROW]
[ROW][C]271[/C][C]120[/C][C]93.4037[/C][C]26.5963[/C][/ROW]
[ROW][C]272[/C][C]73[/C][C]82.5717[/C][C]-9.57166[/C][/ROW]
[ROW][C]273[/C][C]91[/C][C]81.0222[/C][C]9.97784[/C][/ROW]
[ROW][C]274[/C][C]108[/C][C]93.9698[/C][C]14.0302[/C][/ROW]
[ROW][C]275[/C][C]105[/C][C]84.4125[/C][C]20.5875[/C][/ROW]
[ROW][C]276[/C][C]117[/C][C]137.017[/C][C]-20.0169[/C][/ROW]
[ROW][C]277[/C][C]119[/C][C]96.4478[/C][C]22.5522[/C][/ROW]
[ROW][C]278[/C][C]31[/C][C]96.9523[/C][C]-65.9523[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271905&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271905&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1149157.357-8.35728
2139143.598-4.59757
3148148.24-0.240224
4158148.6579.34339
5128148.101-20.101
6224148.00475.9957
7159154.2324.76823
8105146.307-41.3066
9159151.767.23985
10167150.45316.5468
11165153.01511.9847
12159139.97519.0252
13119142.344-23.3445
14176152.54823.4516
1554157.516-103.516
1691114.82-23.8201
17163143.90919.0909
18124152.103-28.1028
19137105.50131.4995
20121145.241-24.241
21153143.6519.3487
22148143.7044.29601
23221150.93470.0663
24188138.09349.9067
25149149.717-0.716504
26244134.877109.123
27148110.52237.4781
2892110.301-18.3014
29150140.29.80013
30153144.3568.6437
3194144.96-50.9602
32156150.0295.97111
33132147.435-15.4354
34161143.71317.2868
35105144.21-39.2098
3697138.511-41.511
37151145.6075.39298
38131100.46230.538
39166145.2920.7097
40157152.3864.61439
41111143.627-32.6267
42145139.4565.5445
43162142.88119.1188
44163141.721.3001
455994.4566-35.4566
46187154.52232.478
47109140.468-31.4683
489097.5246-7.52458
49105156.317-51.3169
5083103.069-20.0693
5111699.995216.0048
524296.811-54.811
53148136.4711.5297
54155104.01450.9862
55125141.967-16.9675
56116144.197-28.1973
57128105.45822.5422
58138144.068-6.06847
5949103.522-54.5225
6096108.431-12.4311
61164150.07613.9241
62162153.1488.85174
6399141.155-42.155
64202141.56260.4375
65186149.26936.7312
666695.9909-29.9909
67183144.03438.9657
68214137.25676.7445
69188141.28546.7147
70104105.317-1.31691
71177154.89222.1076
72126152.098-26.0975
7376112.375-36.3746
7499100.698-1.69842
75139150.625-11.625
76162158.8353.16528
77108106.691.3103
78159148.8410.1603
7974102.019-28.0189
80110144.847-34.8472
8196112.426-16.4259
82116108.8197.18071
8387106.193-19.1929
849795.52281.47723
85127104.81222.1884
86106105.0950.905124
878098.8489-18.8489
8874106.589-32.5894
8991110.564-19.5642
90133104.24428.7563
9174100.831-26.8306
9211493.153920.8461
93140100.31839.6817
9495104.28-9.2796
959898.4934-0.493387
96121111.1029.89816
97126107.24218.7581
9898102.242-4.24247
9995101.902-6.90151
10011096.475113.5249
1017099.824-29.824
102102105.078-3.07839
10386103.571-17.5709
10413098.943131.0569
10596100.994-4.99362
106102110.938-8.93802
107100105.144-5.1439
10894108.24-14.2401
10952107.232-55.2316
11098104.735-6.7347
111118109.8498.15061
1129994.69234.30771
11348127.302-79.3021
11450122.157-72.1573
115150126.2423.7599
116154125.90828.0918
117109100.8448.15617
1186883.5479-15.5479
119194134.77859.2219
120158131.41226.588
121159131.47427.5259
12267134.199-67.1985
123147129.88117.1191
12439129.665-90.6653
125100120.737-20.7366
126111123.509-12.5093
127138129.3428.65789
128101122.889-21.8885
12913192.155738.8443
130101130.522-29.522
131114125.496-11.4961
132165140.09524.9048
133114124.767-10.7672
134111119.342-8.34194
13575126.503-51.5031
13682123.746-41.7464
137121123.406-2.40646
13832132.625-100.625
139150136.82813.172
140117129.19-12.1897
1417184.1058-13.1058
142165121.80943.1909
143154123.06130.9391
144126125.430.570116
145149134.11214.8876
146145140.5624.43764
147120120.371-0.370929
148109135.402-26.4019
149132132.138-0.137849
150172126.60945.3906
151169135.14833.8518
152114136.733-22.7326
153156130.77625.2237
154172134.42237.578
1556889.5479-21.5479
1568985.13973.86034
157167130.30136.6994
158113135.918-22.9179
15911598.330816.6692
1607893.9905-15.9905
16111898.457319.5427
1628783.74913.2509
163173137.56235.4382
1642127.066-125.066
16516298.683163.3169
1664981.2796-32.2796
167122100.05921.9412
1689687.57558.42453
16910093.89326.10675
1708289.1163-7.11632
17110090.23469.76537
17211597.044917.9551
173141100.90940.0913
174165126.17938.8213
175165126.15638.8443
17611081.794128.2059
177118124.333-6.33278
178158135.10122.899
17914690.456955.5431
18049130.466-81.4659
1819097.4102-7.41023
18212195.748225.2518
183155134.84620.154
18410499.71254.28752
18514790.5756.43
186110101.2988.70219
187108101.2756.72522
188113101.25211.7483
18911599.383215.6168
1906196.3639-35.3639
1916088.3342-28.3342
19210976.015732.9843
1936878.7131-10.7131
19411189.502721.4973
1957790.6774-13.6774
1967391.6102-18.6102
197151141.1999.80103
1988986.44072.5593
1997888.1312-10.1312
20011091.646118.3539
201220129.63190.3685
2026588.9012-23.9012
203141127.48413.5157
20411795.52321.477
205122124.954-2.95437
2066392.1952-29.1952
20744120.317-76.3173
2085284.7239-32.7239
20913182.201648.7984
21010183.631617.3684
2114291.5879-49.5879
212152125.626.3998
213107128.258-21.2578
2147789.9113-12.9113
215154138.56915.4314
216103124.152-21.1523
2179686.80029.19983
218175125.00449.996
2195790.7665-33.7665
220112101.06210.9381
221143128.84914.1514
2224982.723-33.723
223110132.166-22.1657
224131122.4738.52685
225167126.33840.6622
2265697.6225-41.6225
227137126.48310.5174
2288683.80212.19794
229121131.083-10.0834
230149133.47715.5232
231168130.42737.573
232140127.28412.7165
2338883.8094.19097
234168124.35343.6469
23594122.787-28.7875
23651128.931-77.9312
2374894.8241-46.8241
238145121.56723.4332
23966120.85-54.8498
2408585.912-0.912023
241109132.522-23.522
2426390.6594-27.6594
24310286.059115.9409
24416296.863565.1365
2458687.0238-1.02377
24611483.333930.6661
247164131.13132.8693
248119131.127-12.1271
249126132.123-6.12281
250132119.59412.406
251142128.15413.8462
25283136.342-53.342
2539487.37446.62558
2548191.8119-10.8119
255166127.87138.1291
25611094.829415.1706
2576484.4605-20.4605
25893138.739-45.7388
25910491.283312.7167
26010579.006425.9936
2614979.0915-30.0915
2628896.5367-8.53672
2639586.31948.68064
26410285.575416.4246
2659989.72669.27344
2666379.2187-16.2187
2677698.7948-22.7948
26810985.907123.0929
26911791.160625.8394
2705790.8194-33.8194
27112093.403726.5963
2727382.5717-9.57166
2739181.02229.97784
27410893.969814.0302
27510584.412520.5875
276117137.017-20.0169
27711996.447822.5522
2783196.9523-65.9523






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
140.1873220.3746440.812678
150.9184850.163030.0815148
160.8590070.2819860.140993
170.8652950.269410.134705
180.7993150.401370.200685
190.8294520.3410960.170548
200.769520.4609590.23048
210.7221930.5556130.277807
220.6551350.6897310.344865
230.9143540.1712920.0856461
240.9040730.1918540.0959268
250.8949450.210110.105055
260.8931320.2137350.106868
270.9055520.1888960.094448
280.8835720.2328560.116428
290.857970.2840610.14203
300.8177270.3645460.182273
310.9217660.1564690.0782345
320.9233750.1532490.0766247
330.9056750.188650.0943249
340.8814580.2370840.118542
350.9082830.1834350.0917173
360.9126380.1747240.0873619
370.8900350.219930.109965
380.8654040.2691920.134596
390.8527880.2944250.147212
400.8499260.3001480.150074
410.846590.3068210.15341
420.8136930.3726150.186307
430.7813780.4372450.218622
440.7563610.4872780.243639
450.8220460.3559090.177954
460.8447350.3105290.155265
470.900610.1987790.0993897
480.8830630.2338730.116937
490.9009270.1981450.0990727
500.8824510.2350990.117549
510.8647470.2705070.135253
520.9032630.1934730.0967367
530.882720.234560.11728
540.9140610.1718780.0859389
550.9017710.1964570.0982285
560.887630.224740.11237
570.8887350.2225290.111265
580.8674520.2650950.132548
590.8885110.2229780.111489
600.8666510.2666980.133349
610.8545310.2909370.145469
620.8402580.3194840.159742
630.8333590.3332820.166641
640.8804590.2390820.119541
650.8895310.2209380.110469
660.8820850.2358310.117915
670.8943770.2112470.105623
680.9366880.1266240.063312
690.9462920.1074150.0537076
700.9349920.1300150.0650075
710.9282660.1434680.071734
720.923450.15310.07655
730.9182650.163470.0817352
740.9020010.1959970.0979986
750.8871420.2257170.112858
760.8676050.264790.132395
770.8454440.3091120.154556
780.8237420.3525150.176258
790.805820.3883590.19418
800.812250.37550.18775
810.786850.42630.21315
820.7625790.4748420.237421
830.7350910.5298190.264909
840.7025620.5948770.297438
850.7000490.5999020.299951
860.6659210.6681580.334079
870.6476550.704690.352345
880.6301320.7397360.369868
890.5986290.8027420.401371
900.6057560.7884870.394244
910.5868620.8262750.413138
920.5635360.8729280.436464
930.572110.855780.42789
940.5359170.9281660.464083
950.5019110.9961790.498089
960.4705410.9410820.529459
970.4480540.8961090.551946
980.4112390.8224780.588761
990.3766790.7533570.623321
1000.3493510.6987010.650649
1010.3435560.6871120.656444
1020.3113410.6226820.688659
1030.2950760.5901510.704924
1040.2932540.5865080.706746
1050.2691790.5383580.730821
1060.2395760.4791510.760424
1070.212220.424440.78778
1080.187220.374440.81278
1090.2177050.4354090.782295
1100.1926340.3852670.807366
1110.1741230.3482460.825877
1120.1516320.3032640.848368
1130.1715580.3431150.828442
1140.1943260.3886520.805674
1150.2787810.5575620.721219
1160.3280440.6560870.671956
1170.3516570.7033140.648343
1180.320610.6412190.67939
1190.407180.8143590.59282
1200.4066920.8133850.593308
1210.3941630.7883270.605837
1220.495490.990980.50451
1230.4721930.9443870.527807
1240.6799530.6400940.320047
1250.6561810.6876380.343819
1260.6250080.7499850.374992
1270.5968090.8063820.403191
1280.5715550.8568890.428445
1290.601810.7963810.39819
1300.5880690.8238630.411931
1310.5567330.8865330.443267
1320.5496520.9006950.450348
1330.5163240.9673520.483676
1340.48510.97020.5149
1350.5238660.9522670.476134
1360.5393650.921270.460635
1370.5082670.9834660.491733
1380.7517820.4964360.248218
1390.7342590.5314820.265741
1400.7097410.5805180.290259
1410.6902110.6195790.309789
1420.7125790.5748420.287421
1430.7096530.5806930.290347
1440.6800330.6399340.319967
1450.6586830.6826350.341317
1460.6295860.7408280.370414
1470.5973320.8053360.402668
1480.588640.8227210.41136
1490.5590830.8818340.440917
1500.585290.8294190.41471
1510.5876520.8246960.412348
1520.5706550.858690.429345
1530.555420.889160.44458
1540.5659020.8681960.434098
1550.5470660.9058670.452934
1560.5128420.9743150.487158
1570.5172160.9655680.482784
1580.5029710.9940570.497029
1590.481830.963660.51817
1600.4713610.9427220.528639
1610.4505380.9010760.549462
1620.4165170.8330330.583483
1630.4134550.8269090.586545
1640.8669420.2661150.133058
1650.8996220.2007550.100378
1660.9067750.186450.0932249
1670.8956840.2086320.104316
1680.8816750.236650.118325
1690.8635070.2729860.136493
1700.8521450.2957110.147855
1710.8312370.3375270.168763
1720.8120920.3758160.187908
1730.8129590.3740810.187041
1740.8093140.3813710.190686
1750.8064680.3870650.193532
1760.7986060.4027870.201394
1770.7732280.4535440.226772
1780.7637380.4725240.236262
1790.8204840.3590330.179516
1800.9349250.1301510.0650755
1810.922880.154240.0771202
1820.9176250.1647510.0823753
1830.9041180.1917650.0958823
1840.8895520.2208960.110448
1850.9312710.1374580.0687291
1860.9204650.1590710.0795355
1870.9083970.1832070.0916034
1880.8988970.2022070.101103
1890.8890170.2219650.110983
1900.8809190.2381630.119081
1910.8732990.2534020.126701
1920.8640880.2718230.135912
1930.8447380.3105250.155262
1940.8352770.3294450.164723
1950.8260290.3479410.173971
1960.8068420.3863150.193158
1970.7801110.4397770.219889
1980.7493190.5013620.250681
1990.7191480.5617040.280852
2000.6910740.6178520.308926
2010.9222320.1555360.077768
2020.9118210.1763570.0881786
2030.8954060.2091880.104594
2040.8989130.2021740.101087
2050.8793720.2412560.120628
2060.8693310.2613390.130669
2070.9301880.1396250.0698123
2080.93020.13960.0698001
2090.9377740.1244530.0622264
2100.9257510.1484980.0742491
2110.9323440.1353110.0676557
2120.9306220.1387550.0693775
2130.9180680.1638640.0819318
2140.9004420.1991160.0995582
2150.889920.220160.11008
2160.8705380.2589250.129462
2170.8476920.3046160.152308
2180.9042340.1915320.0957659
2190.8892070.2215860.110793
2200.8776190.2447620.122381
2210.8575250.284950.142475
2220.9131430.1737140.086857
2230.8993130.2013740.100687
2240.8900170.2199650.109983
2250.8729020.2541950.127098
2260.882640.2347210.11736
2270.8588720.2822570.141128
2280.8293420.3413170.170658
2290.7980160.4039670.201984
2300.7668070.4663850.233193
2310.8571630.2856730.142837
2320.8373150.325370.162685
2330.8021410.3957180.197859
2340.8658920.2682150.134108
2350.8431590.3136810.156841
2360.8986210.2027570.101379
2370.9280420.1439160.0719578
2380.9187140.1625720.081286
2390.9298360.1403280.0701639
2400.9078080.1843840.0921918
2410.900680.1986410.0993205
2420.9126030.1747950.0873974
2430.8853070.2293860.114693
2440.9681450.06370930.0318546
2450.9618320.0763360.038168
2460.9480020.1039970.0519985
2470.944730.1105410.0552704
2480.9222010.1555990.0777994
2490.8929260.2141490.107074
2500.8545350.290930.145465
2510.8120110.3759780.187989
2520.8052960.3894070.194704
2530.7491470.5017070.250853
2540.6840790.6318430.315921
2550.8698570.2602860.130143
2560.8165650.366870.183435
2570.7642740.4714530.235726
2580.6850890.6298210.314911
2590.5863110.8273790.413689
2600.4850620.9701250.514938
2610.4755070.9510140.524493
2620.451210.9024210.54879
2630.4080530.8161060.591947
2640.2633460.5266930.736654

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
14 & 0.187322 & 0.374644 & 0.812678 \tabularnewline
15 & 0.918485 & 0.16303 & 0.0815148 \tabularnewline
16 & 0.859007 & 0.281986 & 0.140993 \tabularnewline
17 & 0.865295 & 0.26941 & 0.134705 \tabularnewline
18 & 0.799315 & 0.40137 & 0.200685 \tabularnewline
19 & 0.829452 & 0.341096 & 0.170548 \tabularnewline
20 & 0.76952 & 0.460959 & 0.23048 \tabularnewline
21 & 0.722193 & 0.555613 & 0.277807 \tabularnewline
22 & 0.655135 & 0.689731 & 0.344865 \tabularnewline
23 & 0.914354 & 0.171292 & 0.0856461 \tabularnewline
24 & 0.904073 & 0.191854 & 0.0959268 \tabularnewline
25 & 0.894945 & 0.21011 & 0.105055 \tabularnewline
26 & 0.893132 & 0.213735 & 0.106868 \tabularnewline
27 & 0.905552 & 0.188896 & 0.094448 \tabularnewline
28 & 0.883572 & 0.232856 & 0.116428 \tabularnewline
29 & 0.85797 & 0.284061 & 0.14203 \tabularnewline
30 & 0.817727 & 0.364546 & 0.182273 \tabularnewline
31 & 0.921766 & 0.156469 & 0.0782345 \tabularnewline
32 & 0.923375 & 0.153249 & 0.0766247 \tabularnewline
33 & 0.905675 & 0.18865 & 0.0943249 \tabularnewline
34 & 0.881458 & 0.237084 & 0.118542 \tabularnewline
35 & 0.908283 & 0.183435 & 0.0917173 \tabularnewline
36 & 0.912638 & 0.174724 & 0.0873619 \tabularnewline
37 & 0.890035 & 0.21993 & 0.109965 \tabularnewline
38 & 0.865404 & 0.269192 & 0.134596 \tabularnewline
39 & 0.852788 & 0.294425 & 0.147212 \tabularnewline
40 & 0.849926 & 0.300148 & 0.150074 \tabularnewline
41 & 0.84659 & 0.306821 & 0.15341 \tabularnewline
42 & 0.813693 & 0.372615 & 0.186307 \tabularnewline
43 & 0.781378 & 0.437245 & 0.218622 \tabularnewline
44 & 0.756361 & 0.487278 & 0.243639 \tabularnewline
45 & 0.822046 & 0.355909 & 0.177954 \tabularnewline
46 & 0.844735 & 0.310529 & 0.155265 \tabularnewline
47 & 0.90061 & 0.198779 & 0.0993897 \tabularnewline
48 & 0.883063 & 0.233873 & 0.116937 \tabularnewline
49 & 0.900927 & 0.198145 & 0.0990727 \tabularnewline
50 & 0.882451 & 0.235099 & 0.117549 \tabularnewline
51 & 0.864747 & 0.270507 & 0.135253 \tabularnewline
52 & 0.903263 & 0.193473 & 0.0967367 \tabularnewline
53 & 0.88272 & 0.23456 & 0.11728 \tabularnewline
54 & 0.914061 & 0.171878 & 0.0859389 \tabularnewline
55 & 0.901771 & 0.196457 & 0.0982285 \tabularnewline
56 & 0.88763 & 0.22474 & 0.11237 \tabularnewline
57 & 0.888735 & 0.222529 & 0.111265 \tabularnewline
58 & 0.867452 & 0.265095 & 0.132548 \tabularnewline
59 & 0.888511 & 0.222978 & 0.111489 \tabularnewline
60 & 0.866651 & 0.266698 & 0.133349 \tabularnewline
61 & 0.854531 & 0.290937 & 0.145469 \tabularnewline
62 & 0.840258 & 0.319484 & 0.159742 \tabularnewline
63 & 0.833359 & 0.333282 & 0.166641 \tabularnewline
64 & 0.880459 & 0.239082 & 0.119541 \tabularnewline
65 & 0.889531 & 0.220938 & 0.110469 \tabularnewline
66 & 0.882085 & 0.235831 & 0.117915 \tabularnewline
67 & 0.894377 & 0.211247 & 0.105623 \tabularnewline
68 & 0.936688 & 0.126624 & 0.063312 \tabularnewline
69 & 0.946292 & 0.107415 & 0.0537076 \tabularnewline
70 & 0.934992 & 0.130015 & 0.0650075 \tabularnewline
71 & 0.928266 & 0.143468 & 0.071734 \tabularnewline
72 & 0.92345 & 0.1531 & 0.07655 \tabularnewline
73 & 0.918265 & 0.16347 & 0.0817352 \tabularnewline
74 & 0.902001 & 0.195997 & 0.0979986 \tabularnewline
75 & 0.887142 & 0.225717 & 0.112858 \tabularnewline
76 & 0.867605 & 0.26479 & 0.132395 \tabularnewline
77 & 0.845444 & 0.309112 & 0.154556 \tabularnewline
78 & 0.823742 & 0.352515 & 0.176258 \tabularnewline
79 & 0.80582 & 0.388359 & 0.19418 \tabularnewline
80 & 0.81225 & 0.3755 & 0.18775 \tabularnewline
81 & 0.78685 & 0.4263 & 0.21315 \tabularnewline
82 & 0.762579 & 0.474842 & 0.237421 \tabularnewline
83 & 0.735091 & 0.529819 & 0.264909 \tabularnewline
84 & 0.702562 & 0.594877 & 0.297438 \tabularnewline
85 & 0.700049 & 0.599902 & 0.299951 \tabularnewline
86 & 0.665921 & 0.668158 & 0.334079 \tabularnewline
87 & 0.647655 & 0.70469 & 0.352345 \tabularnewline
88 & 0.630132 & 0.739736 & 0.369868 \tabularnewline
89 & 0.598629 & 0.802742 & 0.401371 \tabularnewline
90 & 0.605756 & 0.788487 & 0.394244 \tabularnewline
91 & 0.586862 & 0.826275 & 0.413138 \tabularnewline
92 & 0.563536 & 0.872928 & 0.436464 \tabularnewline
93 & 0.57211 & 0.85578 & 0.42789 \tabularnewline
94 & 0.535917 & 0.928166 & 0.464083 \tabularnewline
95 & 0.501911 & 0.996179 & 0.498089 \tabularnewline
96 & 0.470541 & 0.941082 & 0.529459 \tabularnewline
97 & 0.448054 & 0.896109 & 0.551946 \tabularnewline
98 & 0.411239 & 0.822478 & 0.588761 \tabularnewline
99 & 0.376679 & 0.753357 & 0.623321 \tabularnewline
100 & 0.349351 & 0.698701 & 0.650649 \tabularnewline
101 & 0.343556 & 0.687112 & 0.656444 \tabularnewline
102 & 0.311341 & 0.622682 & 0.688659 \tabularnewline
103 & 0.295076 & 0.590151 & 0.704924 \tabularnewline
104 & 0.293254 & 0.586508 & 0.706746 \tabularnewline
105 & 0.269179 & 0.538358 & 0.730821 \tabularnewline
106 & 0.239576 & 0.479151 & 0.760424 \tabularnewline
107 & 0.21222 & 0.42444 & 0.78778 \tabularnewline
108 & 0.18722 & 0.37444 & 0.81278 \tabularnewline
109 & 0.217705 & 0.435409 & 0.782295 \tabularnewline
110 & 0.192634 & 0.385267 & 0.807366 \tabularnewline
111 & 0.174123 & 0.348246 & 0.825877 \tabularnewline
112 & 0.151632 & 0.303264 & 0.848368 \tabularnewline
113 & 0.171558 & 0.343115 & 0.828442 \tabularnewline
114 & 0.194326 & 0.388652 & 0.805674 \tabularnewline
115 & 0.278781 & 0.557562 & 0.721219 \tabularnewline
116 & 0.328044 & 0.656087 & 0.671956 \tabularnewline
117 & 0.351657 & 0.703314 & 0.648343 \tabularnewline
118 & 0.32061 & 0.641219 & 0.67939 \tabularnewline
119 & 0.40718 & 0.814359 & 0.59282 \tabularnewline
120 & 0.406692 & 0.813385 & 0.593308 \tabularnewline
121 & 0.394163 & 0.788327 & 0.605837 \tabularnewline
122 & 0.49549 & 0.99098 & 0.50451 \tabularnewline
123 & 0.472193 & 0.944387 & 0.527807 \tabularnewline
124 & 0.679953 & 0.640094 & 0.320047 \tabularnewline
125 & 0.656181 & 0.687638 & 0.343819 \tabularnewline
126 & 0.625008 & 0.749985 & 0.374992 \tabularnewline
127 & 0.596809 & 0.806382 & 0.403191 \tabularnewline
128 & 0.571555 & 0.856889 & 0.428445 \tabularnewline
129 & 0.60181 & 0.796381 & 0.39819 \tabularnewline
130 & 0.588069 & 0.823863 & 0.411931 \tabularnewline
131 & 0.556733 & 0.886533 & 0.443267 \tabularnewline
132 & 0.549652 & 0.900695 & 0.450348 \tabularnewline
133 & 0.516324 & 0.967352 & 0.483676 \tabularnewline
134 & 0.4851 & 0.9702 & 0.5149 \tabularnewline
135 & 0.523866 & 0.952267 & 0.476134 \tabularnewline
136 & 0.539365 & 0.92127 & 0.460635 \tabularnewline
137 & 0.508267 & 0.983466 & 0.491733 \tabularnewline
138 & 0.751782 & 0.496436 & 0.248218 \tabularnewline
139 & 0.734259 & 0.531482 & 0.265741 \tabularnewline
140 & 0.709741 & 0.580518 & 0.290259 \tabularnewline
141 & 0.690211 & 0.619579 & 0.309789 \tabularnewline
142 & 0.712579 & 0.574842 & 0.287421 \tabularnewline
143 & 0.709653 & 0.580693 & 0.290347 \tabularnewline
144 & 0.680033 & 0.639934 & 0.319967 \tabularnewline
145 & 0.658683 & 0.682635 & 0.341317 \tabularnewline
146 & 0.629586 & 0.740828 & 0.370414 \tabularnewline
147 & 0.597332 & 0.805336 & 0.402668 \tabularnewline
148 & 0.58864 & 0.822721 & 0.41136 \tabularnewline
149 & 0.559083 & 0.881834 & 0.440917 \tabularnewline
150 & 0.58529 & 0.829419 & 0.41471 \tabularnewline
151 & 0.587652 & 0.824696 & 0.412348 \tabularnewline
152 & 0.570655 & 0.85869 & 0.429345 \tabularnewline
153 & 0.55542 & 0.88916 & 0.44458 \tabularnewline
154 & 0.565902 & 0.868196 & 0.434098 \tabularnewline
155 & 0.547066 & 0.905867 & 0.452934 \tabularnewline
156 & 0.512842 & 0.974315 & 0.487158 \tabularnewline
157 & 0.517216 & 0.965568 & 0.482784 \tabularnewline
158 & 0.502971 & 0.994057 & 0.497029 \tabularnewline
159 & 0.48183 & 0.96366 & 0.51817 \tabularnewline
160 & 0.471361 & 0.942722 & 0.528639 \tabularnewline
161 & 0.450538 & 0.901076 & 0.549462 \tabularnewline
162 & 0.416517 & 0.833033 & 0.583483 \tabularnewline
163 & 0.413455 & 0.826909 & 0.586545 \tabularnewline
164 & 0.866942 & 0.266115 & 0.133058 \tabularnewline
165 & 0.899622 & 0.200755 & 0.100378 \tabularnewline
166 & 0.906775 & 0.18645 & 0.0932249 \tabularnewline
167 & 0.895684 & 0.208632 & 0.104316 \tabularnewline
168 & 0.881675 & 0.23665 & 0.118325 \tabularnewline
169 & 0.863507 & 0.272986 & 0.136493 \tabularnewline
170 & 0.852145 & 0.295711 & 0.147855 \tabularnewline
171 & 0.831237 & 0.337527 & 0.168763 \tabularnewline
172 & 0.812092 & 0.375816 & 0.187908 \tabularnewline
173 & 0.812959 & 0.374081 & 0.187041 \tabularnewline
174 & 0.809314 & 0.381371 & 0.190686 \tabularnewline
175 & 0.806468 & 0.387065 & 0.193532 \tabularnewline
176 & 0.798606 & 0.402787 & 0.201394 \tabularnewline
177 & 0.773228 & 0.453544 & 0.226772 \tabularnewline
178 & 0.763738 & 0.472524 & 0.236262 \tabularnewline
179 & 0.820484 & 0.359033 & 0.179516 \tabularnewline
180 & 0.934925 & 0.130151 & 0.0650755 \tabularnewline
181 & 0.92288 & 0.15424 & 0.0771202 \tabularnewline
182 & 0.917625 & 0.164751 & 0.0823753 \tabularnewline
183 & 0.904118 & 0.191765 & 0.0958823 \tabularnewline
184 & 0.889552 & 0.220896 & 0.110448 \tabularnewline
185 & 0.931271 & 0.137458 & 0.0687291 \tabularnewline
186 & 0.920465 & 0.159071 & 0.0795355 \tabularnewline
187 & 0.908397 & 0.183207 & 0.0916034 \tabularnewline
188 & 0.898897 & 0.202207 & 0.101103 \tabularnewline
189 & 0.889017 & 0.221965 & 0.110983 \tabularnewline
190 & 0.880919 & 0.238163 & 0.119081 \tabularnewline
191 & 0.873299 & 0.253402 & 0.126701 \tabularnewline
192 & 0.864088 & 0.271823 & 0.135912 \tabularnewline
193 & 0.844738 & 0.310525 & 0.155262 \tabularnewline
194 & 0.835277 & 0.329445 & 0.164723 \tabularnewline
195 & 0.826029 & 0.347941 & 0.173971 \tabularnewline
196 & 0.806842 & 0.386315 & 0.193158 \tabularnewline
197 & 0.780111 & 0.439777 & 0.219889 \tabularnewline
198 & 0.749319 & 0.501362 & 0.250681 \tabularnewline
199 & 0.719148 & 0.561704 & 0.280852 \tabularnewline
200 & 0.691074 & 0.617852 & 0.308926 \tabularnewline
201 & 0.922232 & 0.155536 & 0.077768 \tabularnewline
202 & 0.911821 & 0.176357 & 0.0881786 \tabularnewline
203 & 0.895406 & 0.209188 & 0.104594 \tabularnewline
204 & 0.898913 & 0.202174 & 0.101087 \tabularnewline
205 & 0.879372 & 0.241256 & 0.120628 \tabularnewline
206 & 0.869331 & 0.261339 & 0.130669 \tabularnewline
207 & 0.930188 & 0.139625 & 0.0698123 \tabularnewline
208 & 0.9302 & 0.1396 & 0.0698001 \tabularnewline
209 & 0.937774 & 0.124453 & 0.0622264 \tabularnewline
210 & 0.925751 & 0.148498 & 0.0742491 \tabularnewline
211 & 0.932344 & 0.135311 & 0.0676557 \tabularnewline
212 & 0.930622 & 0.138755 & 0.0693775 \tabularnewline
213 & 0.918068 & 0.163864 & 0.0819318 \tabularnewline
214 & 0.900442 & 0.199116 & 0.0995582 \tabularnewline
215 & 0.88992 & 0.22016 & 0.11008 \tabularnewline
216 & 0.870538 & 0.258925 & 0.129462 \tabularnewline
217 & 0.847692 & 0.304616 & 0.152308 \tabularnewline
218 & 0.904234 & 0.191532 & 0.0957659 \tabularnewline
219 & 0.889207 & 0.221586 & 0.110793 \tabularnewline
220 & 0.877619 & 0.244762 & 0.122381 \tabularnewline
221 & 0.857525 & 0.28495 & 0.142475 \tabularnewline
222 & 0.913143 & 0.173714 & 0.086857 \tabularnewline
223 & 0.899313 & 0.201374 & 0.100687 \tabularnewline
224 & 0.890017 & 0.219965 & 0.109983 \tabularnewline
225 & 0.872902 & 0.254195 & 0.127098 \tabularnewline
226 & 0.88264 & 0.234721 & 0.11736 \tabularnewline
227 & 0.858872 & 0.282257 & 0.141128 \tabularnewline
228 & 0.829342 & 0.341317 & 0.170658 \tabularnewline
229 & 0.798016 & 0.403967 & 0.201984 \tabularnewline
230 & 0.766807 & 0.466385 & 0.233193 \tabularnewline
231 & 0.857163 & 0.285673 & 0.142837 \tabularnewline
232 & 0.837315 & 0.32537 & 0.162685 \tabularnewline
233 & 0.802141 & 0.395718 & 0.197859 \tabularnewline
234 & 0.865892 & 0.268215 & 0.134108 \tabularnewline
235 & 0.843159 & 0.313681 & 0.156841 \tabularnewline
236 & 0.898621 & 0.202757 & 0.101379 \tabularnewline
237 & 0.928042 & 0.143916 & 0.0719578 \tabularnewline
238 & 0.918714 & 0.162572 & 0.081286 \tabularnewline
239 & 0.929836 & 0.140328 & 0.0701639 \tabularnewline
240 & 0.907808 & 0.184384 & 0.0921918 \tabularnewline
241 & 0.90068 & 0.198641 & 0.0993205 \tabularnewline
242 & 0.912603 & 0.174795 & 0.0873974 \tabularnewline
243 & 0.885307 & 0.229386 & 0.114693 \tabularnewline
244 & 0.968145 & 0.0637093 & 0.0318546 \tabularnewline
245 & 0.961832 & 0.076336 & 0.038168 \tabularnewline
246 & 0.948002 & 0.103997 & 0.0519985 \tabularnewline
247 & 0.94473 & 0.110541 & 0.0552704 \tabularnewline
248 & 0.922201 & 0.155599 & 0.0777994 \tabularnewline
249 & 0.892926 & 0.214149 & 0.107074 \tabularnewline
250 & 0.854535 & 0.29093 & 0.145465 \tabularnewline
251 & 0.812011 & 0.375978 & 0.187989 \tabularnewline
252 & 0.805296 & 0.389407 & 0.194704 \tabularnewline
253 & 0.749147 & 0.501707 & 0.250853 \tabularnewline
254 & 0.684079 & 0.631843 & 0.315921 \tabularnewline
255 & 0.869857 & 0.260286 & 0.130143 \tabularnewline
256 & 0.816565 & 0.36687 & 0.183435 \tabularnewline
257 & 0.764274 & 0.471453 & 0.235726 \tabularnewline
258 & 0.685089 & 0.629821 & 0.314911 \tabularnewline
259 & 0.586311 & 0.827379 & 0.413689 \tabularnewline
260 & 0.485062 & 0.970125 & 0.514938 \tabularnewline
261 & 0.475507 & 0.951014 & 0.524493 \tabularnewline
262 & 0.45121 & 0.902421 & 0.54879 \tabularnewline
263 & 0.408053 & 0.816106 & 0.591947 \tabularnewline
264 & 0.263346 & 0.526693 & 0.736654 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271905&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]14[/C][C]0.187322[/C][C]0.374644[/C][C]0.812678[/C][/ROW]
[ROW][C]15[/C][C]0.918485[/C][C]0.16303[/C][C]0.0815148[/C][/ROW]
[ROW][C]16[/C][C]0.859007[/C][C]0.281986[/C][C]0.140993[/C][/ROW]
[ROW][C]17[/C][C]0.865295[/C][C]0.26941[/C][C]0.134705[/C][/ROW]
[ROW][C]18[/C][C]0.799315[/C][C]0.40137[/C][C]0.200685[/C][/ROW]
[ROW][C]19[/C][C]0.829452[/C][C]0.341096[/C][C]0.170548[/C][/ROW]
[ROW][C]20[/C][C]0.76952[/C][C]0.460959[/C][C]0.23048[/C][/ROW]
[ROW][C]21[/C][C]0.722193[/C][C]0.555613[/C][C]0.277807[/C][/ROW]
[ROW][C]22[/C][C]0.655135[/C][C]0.689731[/C][C]0.344865[/C][/ROW]
[ROW][C]23[/C][C]0.914354[/C][C]0.171292[/C][C]0.0856461[/C][/ROW]
[ROW][C]24[/C][C]0.904073[/C][C]0.191854[/C][C]0.0959268[/C][/ROW]
[ROW][C]25[/C][C]0.894945[/C][C]0.21011[/C][C]0.105055[/C][/ROW]
[ROW][C]26[/C][C]0.893132[/C][C]0.213735[/C][C]0.106868[/C][/ROW]
[ROW][C]27[/C][C]0.905552[/C][C]0.188896[/C][C]0.094448[/C][/ROW]
[ROW][C]28[/C][C]0.883572[/C][C]0.232856[/C][C]0.116428[/C][/ROW]
[ROW][C]29[/C][C]0.85797[/C][C]0.284061[/C][C]0.14203[/C][/ROW]
[ROW][C]30[/C][C]0.817727[/C][C]0.364546[/C][C]0.182273[/C][/ROW]
[ROW][C]31[/C][C]0.921766[/C][C]0.156469[/C][C]0.0782345[/C][/ROW]
[ROW][C]32[/C][C]0.923375[/C][C]0.153249[/C][C]0.0766247[/C][/ROW]
[ROW][C]33[/C][C]0.905675[/C][C]0.18865[/C][C]0.0943249[/C][/ROW]
[ROW][C]34[/C][C]0.881458[/C][C]0.237084[/C][C]0.118542[/C][/ROW]
[ROW][C]35[/C][C]0.908283[/C][C]0.183435[/C][C]0.0917173[/C][/ROW]
[ROW][C]36[/C][C]0.912638[/C][C]0.174724[/C][C]0.0873619[/C][/ROW]
[ROW][C]37[/C][C]0.890035[/C][C]0.21993[/C][C]0.109965[/C][/ROW]
[ROW][C]38[/C][C]0.865404[/C][C]0.269192[/C][C]0.134596[/C][/ROW]
[ROW][C]39[/C][C]0.852788[/C][C]0.294425[/C][C]0.147212[/C][/ROW]
[ROW][C]40[/C][C]0.849926[/C][C]0.300148[/C][C]0.150074[/C][/ROW]
[ROW][C]41[/C][C]0.84659[/C][C]0.306821[/C][C]0.15341[/C][/ROW]
[ROW][C]42[/C][C]0.813693[/C][C]0.372615[/C][C]0.186307[/C][/ROW]
[ROW][C]43[/C][C]0.781378[/C][C]0.437245[/C][C]0.218622[/C][/ROW]
[ROW][C]44[/C][C]0.756361[/C][C]0.487278[/C][C]0.243639[/C][/ROW]
[ROW][C]45[/C][C]0.822046[/C][C]0.355909[/C][C]0.177954[/C][/ROW]
[ROW][C]46[/C][C]0.844735[/C][C]0.310529[/C][C]0.155265[/C][/ROW]
[ROW][C]47[/C][C]0.90061[/C][C]0.198779[/C][C]0.0993897[/C][/ROW]
[ROW][C]48[/C][C]0.883063[/C][C]0.233873[/C][C]0.116937[/C][/ROW]
[ROW][C]49[/C][C]0.900927[/C][C]0.198145[/C][C]0.0990727[/C][/ROW]
[ROW][C]50[/C][C]0.882451[/C][C]0.235099[/C][C]0.117549[/C][/ROW]
[ROW][C]51[/C][C]0.864747[/C][C]0.270507[/C][C]0.135253[/C][/ROW]
[ROW][C]52[/C][C]0.903263[/C][C]0.193473[/C][C]0.0967367[/C][/ROW]
[ROW][C]53[/C][C]0.88272[/C][C]0.23456[/C][C]0.11728[/C][/ROW]
[ROW][C]54[/C][C]0.914061[/C][C]0.171878[/C][C]0.0859389[/C][/ROW]
[ROW][C]55[/C][C]0.901771[/C][C]0.196457[/C][C]0.0982285[/C][/ROW]
[ROW][C]56[/C][C]0.88763[/C][C]0.22474[/C][C]0.11237[/C][/ROW]
[ROW][C]57[/C][C]0.888735[/C][C]0.222529[/C][C]0.111265[/C][/ROW]
[ROW][C]58[/C][C]0.867452[/C][C]0.265095[/C][C]0.132548[/C][/ROW]
[ROW][C]59[/C][C]0.888511[/C][C]0.222978[/C][C]0.111489[/C][/ROW]
[ROW][C]60[/C][C]0.866651[/C][C]0.266698[/C][C]0.133349[/C][/ROW]
[ROW][C]61[/C][C]0.854531[/C][C]0.290937[/C][C]0.145469[/C][/ROW]
[ROW][C]62[/C][C]0.840258[/C][C]0.319484[/C][C]0.159742[/C][/ROW]
[ROW][C]63[/C][C]0.833359[/C][C]0.333282[/C][C]0.166641[/C][/ROW]
[ROW][C]64[/C][C]0.880459[/C][C]0.239082[/C][C]0.119541[/C][/ROW]
[ROW][C]65[/C][C]0.889531[/C][C]0.220938[/C][C]0.110469[/C][/ROW]
[ROW][C]66[/C][C]0.882085[/C][C]0.235831[/C][C]0.117915[/C][/ROW]
[ROW][C]67[/C][C]0.894377[/C][C]0.211247[/C][C]0.105623[/C][/ROW]
[ROW][C]68[/C][C]0.936688[/C][C]0.126624[/C][C]0.063312[/C][/ROW]
[ROW][C]69[/C][C]0.946292[/C][C]0.107415[/C][C]0.0537076[/C][/ROW]
[ROW][C]70[/C][C]0.934992[/C][C]0.130015[/C][C]0.0650075[/C][/ROW]
[ROW][C]71[/C][C]0.928266[/C][C]0.143468[/C][C]0.071734[/C][/ROW]
[ROW][C]72[/C][C]0.92345[/C][C]0.1531[/C][C]0.07655[/C][/ROW]
[ROW][C]73[/C][C]0.918265[/C][C]0.16347[/C][C]0.0817352[/C][/ROW]
[ROW][C]74[/C][C]0.902001[/C][C]0.195997[/C][C]0.0979986[/C][/ROW]
[ROW][C]75[/C][C]0.887142[/C][C]0.225717[/C][C]0.112858[/C][/ROW]
[ROW][C]76[/C][C]0.867605[/C][C]0.26479[/C][C]0.132395[/C][/ROW]
[ROW][C]77[/C][C]0.845444[/C][C]0.309112[/C][C]0.154556[/C][/ROW]
[ROW][C]78[/C][C]0.823742[/C][C]0.352515[/C][C]0.176258[/C][/ROW]
[ROW][C]79[/C][C]0.80582[/C][C]0.388359[/C][C]0.19418[/C][/ROW]
[ROW][C]80[/C][C]0.81225[/C][C]0.3755[/C][C]0.18775[/C][/ROW]
[ROW][C]81[/C][C]0.78685[/C][C]0.4263[/C][C]0.21315[/C][/ROW]
[ROW][C]82[/C][C]0.762579[/C][C]0.474842[/C][C]0.237421[/C][/ROW]
[ROW][C]83[/C][C]0.735091[/C][C]0.529819[/C][C]0.264909[/C][/ROW]
[ROW][C]84[/C][C]0.702562[/C][C]0.594877[/C][C]0.297438[/C][/ROW]
[ROW][C]85[/C][C]0.700049[/C][C]0.599902[/C][C]0.299951[/C][/ROW]
[ROW][C]86[/C][C]0.665921[/C][C]0.668158[/C][C]0.334079[/C][/ROW]
[ROW][C]87[/C][C]0.647655[/C][C]0.70469[/C][C]0.352345[/C][/ROW]
[ROW][C]88[/C][C]0.630132[/C][C]0.739736[/C][C]0.369868[/C][/ROW]
[ROW][C]89[/C][C]0.598629[/C][C]0.802742[/C][C]0.401371[/C][/ROW]
[ROW][C]90[/C][C]0.605756[/C][C]0.788487[/C][C]0.394244[/C][/ROW]
[ROW][C]91[/C][C]0.586862[/C][C]0.826275[/C][C]0.413138[/C][/ROW]
[ROW][C]92[/C][C]0.563536[/C][C]0.872928[/C][C]0.436464[/C][/ROW]
[ROW][C]93[/C][C]0.57211[/C][C]0.85578[/C][C]0.42789[/C][/ROW]
[ROW][C]94[/C][C]0.535917[/C][C]0.928166[/C][C]0.464083[/C][/ROW]
[ROW][C]95[/C][C]0.501911[/C][C]0.996179[/C][C]0.498089[/C][/ROW]
[ROW][C]96[/C][C]0.470541[/C][C]0.941082[/C][C]0.529459[/C][/ROW]
[ROW][C]97[/C][C]0.448054[/C][C]0.896109[/C][C]0.551946[/C][/ROW]
[ROW][C]98[/C][C]0.411239[/C][C]0.822478[/C][C]0.588761[/C][/ROW]
[ROW][C]99[/C][C]0.376679[/C][C]0.753357[/C][C]0.623321[/C][/ROW]
[ROW][C]100[/C][C]0.349351[/C][C]0.698701[/C][C]0.650649[/C][/ROW]
[ROW][C]101[/C][C]0.343556[/C][C]0.687112[/C][C]0.656444[/C][/ROW]
[ROW][C]102[/C][C]0.311341[/C][C]0.622682[/C][C]0.688659[/C][/ROW]
[ROW][C]103[/C][C]0.295076[/C][C]0.590151[/C][C]0.704924[/C][/ROW]
[ROW][C]104[/C][C]0.293254[/C][C]0.586508[/C][C]0.706746[/C][/ROW]
[ROW][C]105[/C][C]0.269179[/C][C]0.538358[/C][C]0.730821[/C][/ROW]
[ROW][C]106[/C][C]0.239576[/C][C]0.479151[/C][C]0.760424[/C][/ROW]
[ROW][C]107[/C][C]0.21222[/C][C]0.42444[/C][C]0.78778[/C][/ROW]
[ROW][C]108[/C][C]0.18722[/C][C]0.37444[/C][C]0.81278[/C][/ROW]
[ROW][C]109[/C][C]0.217705[/C][C]0.435409[/C][C]0.782295[/C][/ROW]
[ROW][C]110[/C][C]0.192634[/C][C]0.385267[/C][C]0.807366[/C][/ROW]
[ROW][C]111[/C][C]0.174123[/C][C]0.348246[/C][C]0.825877[/C][/ROW]
[ROW][C]112[/C][C]0.151632[/C][C]0.303264[/C][C]0.848368[/C][/ROW]
[ROW][C]113[/C][C]0.171558[/C][C]0.343115[/C][C]0.828442[/C][/ROW]
[ROW][C]114[/C][C]0.194326[/C][C]0.388652[/C][C]0.805674[/C][/ROW]
[ROW][C]115[/C][C]0.278781[/C][C]0.557562[/C][C]0.721219[/C][/ROW]
[ROW][C]116[/C][C]0.328044[/C][C]0.656087[/C][C]0.671956[/C][/ROW]
[ROW][C]117[/C][C]0.351657[/C][C]0.703314[/C][C]0.648343[/C][/ROW]
[ROW][C]118[/C][C]0.32061[/C][C]0.641219[/C][C]0.67939[/C][/ROW]
[ROW][C]119[/C][C]0.40718[/C][C]0.814359[/C][C]0.59282[/C][/ROW]
[ROW][C]120[/C][C]0.406692[/C][C]0.813385[/C][C]0.593308[/C][/ROW]
[ROW][C]121[/C][C]0.394163[/C][C]0.788327[/C][C]0.605837[/C][/ROW]
[ROW][C]122[/C][C]0.49549[/C][C]0.99098[/C][C]0.50451[/C][/ROW]
[ROW][C]123[/C][C]0.472193[/C][C]0.944387[/C][C]0.527807[/C][/ROW]
[ROW][C]124[/C][C]0.679953[/C][C]0.640094[/C][C]0.320047[/C][/ROW]
[ROW][C]125[/C][C]0.656181[/C][C]0.687638[/C][C]0.343819[/C][/ROW]
[ROW][C]126[/C][C]0.625008[/C][C]0.749985[/C][C]0.374992[/C][/ROW]
[ROW][C]127[/C][C]0.596809[/C][C]0.806382[/C][C]0.403191[/C][/ROW]
[ROW][C]128[/C][C]0.571555[/C][C]0.856889[/C][C]0.428445[/C][/ROW]
[ROW][C]129[/C][C]0.60181[/C][C]0.796381[/C][C]0.39819[/C][/ROW]
[ROW][C]130[/C][C]0.588069[/C][C]0.823863[/C][C]0.411931[/C][/ROW]
[ROW][C]131[/C][C]0.556733[/C][C]0.886533[/C][C]0.443267[/C][/ROW]
[ROW][C]132[/C][C]0.549652[/C][C]0.900695[/C][C]0.450348[/C][/ROW]
[ROW][C]133[/C][C]0.516324[/C][C]0.967352[/C][C]0.483676[/C][/ROW]
[ROW][C]134[/C][C]0.4851[/C][C]0.9702[/C][C]0.5149[/C][/ROW]
[ROW][C]135[/C][C]0.523866[/C][C]0.952267[/C][C]0.476134[/C][/ROW]
[ROW][C]136[/C][C]0.539365[/C][C]0.92127[/C][C]0.460635[/C][/ROW]
[ROW][C]137[/C][C]0.508267[/C][C]0.983466[/C][C]0.491733[/C][/ROW]
[ROW][C]138[/C][C]0.751782[/C][C]0.496436[/C][C]0.248218[/C][/ROW]
[ROW][C]139[/C][C]0.734259[/C][C]0.531482[/C][C]0.265741[/C][/ROW]
[ROW][C]140[/C][C]0.709741[/C][C]0.580518[/C][C]0.290259[/C][/ROW]
[ROW][C]141[/C][C]0.690211[/C][C]0.619579[/C][C]0.309789[/C][/ROW]
[ROW][C]142[/C][C]0.712579[/C][C]0.574842[/C][C]0.287421[/C][/ROW]
[ROW][C]143[/C][C]0.709653[/C][C]0.580693[/C][C]0.290347[/C][/ROW]
[ROW][C]144[/C][C]0.680033[/C][C]0.639934[/C][C]0.319967[/C][/ROW]
[ROW][C]145[/C][C]0.658683[/C][C]0.682635[/C][C]0.341317[/C][/ROW]
[ROW][C]146[/C][C]0.629586[/C][C]0.740828[/C][C]0.370414[/C][/ROW]
[ROW][C]147[/C][C]0.597332[/C][C]0.805336[/C][C]0.402668[/C][/ROW]
[ROW][C]148[/C][C]0.58864[/C][C]0.822721[/C][C]0.41136[/C][/ROW]
[ROW][C]149[/C][C]0.559083[/C][C]0.881834[/C][C]0.440917[/C][/ROW]
[ROW][C]150[/C][C]0.58529[/C][C]0.829419[/C][C]0.41471[/C][/ROW]
[ROW][C]151[/C][C]0.587652[/C][C]0.824696[/C][C]0.412348[/C][/ROW]
[ROW][C]152[/C][C]0.570655[/C][C]0.85869[/C][C]0.429345[/C][/ROW]
[ROW][C]153[/C][C]0.55542[/C][C]0.88916[/C][C]0.44458[/C][/ROW]
[ROW][C]154[/C][C]0.565902[/C][C]0.868196[/C][C]0.434098[/C][/ROW]
[ROW][C]155[/C][C]0.547066[/C][C]0.905867[/C][C]0.452934[/C][/ROW]
[ROW][C]156[/C][C]0.512842[/C][C]0.974315[/C][C]0.487158[/C][/ROW]
[ROW][C]157[/C][C]0.517216[/C][C]0.965568[/C][C]0.482784[/C][/ROW]
[ROW][C]158[/C][C]0.502971[/C][C]0.994057[/C][C]0.497029[/C][/ROW]
[ROW][C]159[/C][C]0.48183[/C][C]0.96366[/C][C]0.51817[/C][/ROW]
[ROW][C]160[/C][C]0.471361[/C][C]0.942722[/C][C]0.528639[/C][/ROW]
[ROW][C]161[/C][C]0.450538[/C][C]0.901076[/C][C]0.549462[/C][/ROW]
[ROW][C]162[/C][C]0.416517[/C][C]0.833033[/C][C]0.583483[/C][/ROW]
[ROW][C]163[/C][C]0.413455[/C][C]0.826909[/C][C]0.586545[/C][/ROW]
[ROW][C]164[/C][C]0.866942[/C][C]0.266115[/C][C]0.133058[/C][/ROW]
[ROW][C]165[/C][C]0.899622[/C][C]0.200755[/C][C]0.100378[/C][/ROW]
[ROW][C]166[/C][C]0.906775[/C][C]0.18645[/C][C]0.0932249[/C][/ROW]
[ROW][C]167[/C][C]0.895684[/C][C]0.208632[/C][C]0.104316[/C][/ROW]
[ROW][C]168[/C][C]0.881675[/C][C]0.23665[/C][C]0.118325[/C][/ROW]
[ROW][C]169[/C][C]0.863507[/C][C]0.272986[/C][C]0.136493[/C][/ROW]
[ROW][C]170[/C][C]0.852145[/C][C]0.295711[/C][C]0.147855[/C][/ROW]
[ROW][C]171[/C][C]0.831237[/C][C]0.337527[/C][C]0.168763[/C][/ROW]
[ROW][C]172[/C][C]0.812092[/C][C]0.375816[/C][C]0.187908[/C][/ROW]
[ROW][C]173[/C][C]0.812959[/C][C]0.374081[/C][C]0.187041[/C][/ROW]
[ROW][C]174[/C][C]0.809314[/C][C]0.381371[/C][C]0.190686[/C][/ROW]
[ROW][C]175[/C][C]0.806468[/C][C]0.387065[/C][C]0.193532[/C][/ROW]
[ROW][C]176[/C][C]0.798606[/C][C]0.402787[/C][C]0.201394[/C][/ROW]
[ROW][C]177[/C][C]0.773228[/C][C]0.453544[/C][C]0.226772[/C][/ROW]
[ROW][C]178[/C][C]0.763738[/C][C]0.472524[/C][C]0.236262[/C][/ROW]
[ROW][C]179[/C][C]0.820484[/C][C]0.359033[/C][C]0.179516[/C][/ROW]
[ROW][C]180[/C][C]0.934925[/C][C]0.130151[/C][C]0.0650755[/C][/ROW]
[ROW][C]181[/C][C]0.92288[/C][C]0.15424[/C][C]0.0771202[/C][/ROW]
[ROW][C]182[/C][C]0.917625[/C][C]0.164751[/C][C]0.0823753[/C][/ROW]
[ROW][C]183[/C][C]0.904118[/C][C]0.191765[/C][C]0.0958823[/C][/ROW]
[ROW][C]184[/C][C]0.889552[/C][C]0.220896[/C][C]0.110448[/C][/ROW]
[ROW][C]185[/C][C]0.931271[/C][C]0.137458[/C][C]0.0687291[/C][/ROW]
[ROW][C]186[/C][C]0.920465[/C][C]0.159071[/C][C]0.0795355[/C][/ROW]
[ROW][C]187[/C][C]0.908397[/C][C]0.183207[/C][C]0.0916034[/C][/ROW]
[ROW][C]188[/C][C]0.898897[/C][C]0.202207[/C][C]0.101103[/C][/ROW]
[ROW][C]189[/C][C]0.889017[/C][C]0.221965[/C][C]0.110983[/C][/ROW]
[ROW][C]190[/C][C]0.880919[/C][C]0.238163[/C][C]0.119081[/C][/ROW]
[ROW][C]191[/C][C]0.873299[/C][C]0.253402[/C][C]0.126701[/C][/ROW]
[ROW][C]192[/C][C]0.864088[/C][C]0.271823[/C][C]0.135912[/C][/ROW]
[ROW][C]193[/C][C]0.844738[/C][C]0.310525[/C][C]0.155262[/C][/ROW]
[ROW][C]194[/C][C]0.835277[/C][C]0.329445[/C][C]0.164723[/C][/ROW]
[ROW][C]195[/C][C]0.826029[/C][C]0.347941[/C][C]0.173971[/C][/ROW]
[ROW][C]196[/C][C]0.806842[/C][C]0.386315[/C][C]0.193158[/C][/ROW]
[ROW][C]197[/C][C]0.780111[/C][C]0.439777[/C][C]0.219889[/C][/ROW]
[ROW][C]198[/C][C]0.749319[/C][C]0.501362[/C][C]0.250681[/C][/ROW]
[ROW][C]199[/C][C]0.719148[/C][C]0.561704[/C][C]0.280852[/C][/ROW]
[ROW][C]200[/C][C]0.691074[/C][C]0.617852[/C][C]0.308926[/C][/ROW]
[ROW][C]201[/C][C]0.922232[/C][C]0.155536[/C][C]0.077768[/C][/ROW]
[ROW][C]202[/C][C]0.911821[/C][C]0.176357[/C][C]0.0881786[/C][/ROW]
[ROW][C]203[/C][C]0.895406[/C][C]0.209188[/C][C]0.104594[/C][/ROW]
[ROW][C]204[/C][C]0.898913[/C][C]0.202174[/C][C]0.101087[/C][/ROW]
[ROW][C]205[/C][C]0.879372[/C][C]0.241256[/C][C]0.120628[/C][/ROW]
[ROW][C]206[/C][C]0.869331[/C][C]0.261339[/C][C]0.130669[/C][/ROW]
[ROW][C]207[/C][C]0.930188[/C][C]0.139625[/C][C]0.0698123[/C][/ROW]
[ROW][C]208[/C][C]0.9302[/C][C]0.1396[/C][C]0.0698001[/C][/ROW]
[ROW][C]209[/C][C]0.937774[/C][C]0.124453[/C][C]0.0622264[/C][/ROW]
[ROW][C]210[/C][C]0.925751[/C][C]0.148498[/C][C]0.0742491[/C][/ROW]
[ROW][C]211[/C][C]0.932344[/C][C]0.135311[/C][C]0.0676557[/C][/ROW]
[ROW][C]212[/C][C]0.930622[/C][C]0.138755[/C][C]0.0693775[/C][/ROW]
[ROW][C]213[/C][C]0.918068[/C][C]0.163864[/C][C]0.0819318[/C][/ROW]
[ROW][C]214[/C][C]0.900442[/C][C]0.199116[/C][C]0.0995582[/C][/ROW]
[ROW][C]215[/C][C]0.88992[/C][C]0.22016[/C][C]0.11008[/C][/ROW]
[ROW][C]216[/C][C]0.870538[/C][C]0.258925[/C][C]0.129462[/C][/ROW]
[ROW][C]217[/C][C]0.847692[/C][C]0.304616[/C][C]0.152308[/C][/ROW]
[ROW][C]218[/C][C]0.904234[/C][C]0.191532[/C][C]0.0957659[/C][/ROW]
[ROW][C]219[/C][C]0.889207[/C][C]0.221586[/C][C]0.110793[/C][/ROW]
[ROW][C]220[/C][C]0.877619[/C][C]0.244762[/C][C]0.122381[/C][/ROW]
[ROW][C]221[/C][C]0.857525[/C][C]0.28495[/C][C]0.142475[/C][/ROW]
[ROW][C]222[/C][C]0.913143[/C][C]0.173714[/C][C]0.086857[/C][/ROW]
[ROW][C]223[/C][C]0.899313[/C][C]0.201374[/C][C]0.100687[/C][/ROW]
[ROW][C]224[/C][C]0.890017[/C][C]0.219965[/C][C]0.109983[/C][/ROW]
[ROW][C]225[/C][C]0.872902[/C][C]0.254195[/C][C]0.127098[/C][/ROW]
[ROW][C]226[/C][C]0.88264[/C][C]0.234721[/C][C]0.11736[/C][/ROW]
[ROW][C]227[/C][C]0.858872[/C][C]0.282257[/C][C]0.141128[/C][/ROW]
[ROW][C]228[/C][C]0.829342[/C][C]0.341317[/C][C]0.170658[/C][/ROW]
[ROW][C]229[/C][C]0.798016[/C][C]0.403967[/C][C]0.201984[/C][/ROW]
[ROW][C]230[/C][C]0.766807[/C][C]0.466385[/C][C]0.233193[/C][/ROW]
[ROW][C]231[/C][C]0.857163[/C][C]0.285673[/C][C]0.142837[/C][/ROW]
[ROW][C]232[/C][C]0.837315[/C][C]0.32537[/C][C]0.162685[/C][/ROW]
[ROW][C]233[/C][C]0.802141[/C][C]0.395718[/C][C]0.197859[/C][/ROW]
[ROW][C]234[/C][C]0.865892[/C][C]0.268215[/C][C]0.134108[/C][/ROW]
[ROW][C]235[/C][C]0.843159[/C][C]0.313681[/C][C]0.156841[/C][/ROW]
[ROW][C]236[/C][C]0.898621[/C][C]0.202757[/C][C]0.101379[/C][/ROW]
[ROW][C]237[/C][C]0.928042[/C][C]0.143916[/C][C]0.0719578[/C][/ROW]
[ROW][C]238[/C][C]0.918714[/C][C]0.162572[/C][C]0.081286[/C][/ROW]
[ROW][C]239[/C][C]0.929836[/C][C]0.140328[/C][C]0.0701639[/C][/ROW]
[ROW][C]240[/C][C]0.907808[/C][C]0.184384[/C][C]0.0921918[/C][/ROW]
[ROW][C]241[/C][C]0.90068[/C][C]0.198641[/C][C]0.0993205[/C][/ROW]
[ROW][C]242[/C][C]0.912603[/C][C]0.174795[/C][C]0.0873974[/C][/ROW]
[ROW][C]243[/C][C]0.885307[/C][C]0.229386[/C][C]0.114693[/C][/ROW]
[ROW][C]244[/C][C]0.968145[/C][C]0.0637093[/C][C]0.0318546[/C][/ROW]
[ROW][C]245[/C][C]0.961832[/C][C]0.076336[/C][C]0.038168[/C][/ROW]
[ROW][C]246[/C][C]0.948002[/C][C]0.103997[/C][C]0.0519985[/C][/ROW]
[ROW][C]247[/C][C]0.94473[/C][C]0.110541[/C][C]0.0552704[/C][/ROW]
[ROW][C]248[/C][C]0.922201[/C][C]0.155599[/C][C]0.0777994[/C][/ROW]
[ROW][C]249[/C][C]0.892926[/C][C]0.214149[/C][C]0.107074[/C][/ROW]
[ROW][C]250[/C][C]0.854535[/C][C]0.29093[/C][C]0.145465[/C][/ROW]
[ROW][C]251[/C][C]0.812011[/C][C]0.375978[/C][C]0.187989[/C][/ROW]
[ROW][C]252[/C][C]0.805296[/C][C]0.389407[/C][C]0.194704[/C][/ROW]
[ROW][C]253[/C][C]0.749147[/C][C]0.501707[/C][C]0.250853[/C][/ROW]
[ROW][C]254[/C][C]0.684079[/C][C]0.631843[/C][C]0.315921[/C][/ROW]
[ROW][C]255[/C][C]0.869857[/C][C]0.260286[/C][C]0.130143[/C][/ROW]
[ROW][C]256[/C][C]0.816565[/C][C]0.36687[/C][C]0.183435[/C][/ROW]
[ROW][C]257[/C][C]0.764274[/C][C]0.471453[/C][C]0.235726[/C][/ROW]
[ROW][C]258[/C][C]0.685089[/C][C]0.629821[/C][C]0.314911[/C][/ROW]
[ROW][C]259[/C][C]0.586311[/C][C]0.827379[/C][C]0.413689[/C][/ROW]
[ROW][C]260[/C][C]0.485062[/C][C]0.970125[/C][C]0.514938[/C][/ROW]
[ROW][C]261[/C][C]0.475507[/C][C]0.951014[/C][C]0.524493[/C][/ROW]
[ROW][C]262[/C][C]0.45121[/C][C]0.902421[/C][C]0.54879[/C][/ROW]
[ROW][C]263[/C][C]0.408053[/C][C]0.816106[/C][C]0.591947[/C][/ROW]
[ROW][C]264[/C][C]0.263346[/C][C]0.526693[/C][C]0.736654[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271905&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271905&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
140.1873220.3746440.812678
150.9184850.163030.0815148
160.8590070.2819860.140993
170.8652950.269410.134705
180.7993150.401370.200685
190.8294520.3410960.170548
200.769520.4609590.23048
210.7221930.5556130.277807
220.6551350.6897310.344865
230.9143540.1712920.0856461
240.9040730.1918540.0959268
250.8949450.210110.105055
260.8931320.2137350.106868
270.9055520.1888960.094448
280.8835720.2328560.116428
290.857970.2840610.14203
300.8177270.3645460.182273
310.9217660.1564690.0782345
320.9233750.1532490.0766247
330.9056750.188650.0943249
340.8814580.2370840.118542
350.9082830.1834350.0917173
360.9126380.1747240.0873619
370.8900350.219930.109965
380.8654040.2691920.134596
390.8527880.2944250.147212
400.8499260.3001480.150074
410.846590.3068210.15341
420.8136930.3726150.186307
430.7813780.4372450.218622
440.7563610.4872780.243639
450.8220460.3559090.177954
460.8447350.3105290.155265
470.900610.1987790.0993897
480.8830630.2338730.116937
490.9009270.1981450.0990727
500.8824510.2350990.117549
510.8647470.2705070.135253
520.9032630.1934730.0967367
530.882720.234560.11728
540.9140610.1718780.0859389
550.9017710.1964570.0982285
560.887630.224740.11237
570.8887350.2225290.111265
580.8674520.2650950.132548
590.8885110.2229780.111489
600.8666510.2666980.133349
610.8545310.2909370.145469
620.8402580.3194840.159742
630.8333590.3332820.166641
640.8804590.2390820.119541
650.8895310.2209380.110469
660.8820850.2358310.117915
670.8943770.2112470.105623
680.9366880.1266240.063312
690.9462920.1074150.0537076
700.9349920.1300150.0650075
710.9282660.1434680.071734
720.923450.15310.07655
730.9182650.163470.0817352
740.9020010.1959970.0979986
750.8871420.2257170.112858
760.8676050.264790.132395
770.8454440.3091120.154556
780.8237420.3525150.176258
790.805820.3883590.19418
800.812250.37550.18775
810.786850.42630.21315
820.7625790.4748420.237421
830.7350910.5298190.264909
840.7025620.5948770.297438
850.7000490.5999020.299951
860.6659210.6681580.334079
870.6476550.704690.352345
880.6301320.7397360.369868
890.5986290.8027420.401371
900.6057560.7884870.394244
910.5868620.8262750.413138
920.5635360.8729280.436464
930.572110.855780.42789
940.5359170.9281660.464083
950.5019110.9961790.498089
960.4705410.9410820.529459
970.4480540.8961090.551946
980.4112390.8224780.588761
990.3766790.7533570.623321
1000.3493510.6987010.650649
1010.3435560.6871120.656444
1020.3113410.6226820.688659
1030.2950760.5901510.704924
1040.2932540.5865080.706746
1050.2691790.5383580.730821
1060.2395760.4791510.760424
1070.212220.424440.78778
1080.187220.374440.81278
1090.2177050.4354090.782295
1100.1926340.3852670.807366
1110.1741230.3482460.825877
1120.1516320.3032640.848368
1130.1715580.3431150.828442
1140.1943260.3886520.805674
1150.2787810.5575620.721219
1160.3280440.6560870.671956
1170.3516570.7033140.648343
1180.320610.6412190.67939
1190.407180.8143590.59282
1200.4066920.8133850.593308
1210.3941630.7883270.605837
1220.495490.990980.50451
1230.4721930.9443870.527807
1240.6799530.6400940.320047
1250.6561810.6876380.343819
1260.6250080.7499850.374992
1270.5968090.8063820.403191
1280.5715550.8568890.428445
1290.601810.7963810.39819
1300.5880690.8238630.411931
1310.5567330.8865330.443267
1320.5496520.9006950.450348
1330.5163240.9673520.483676
1340.48510.97020.5149
1350.5238660.9522670.476134
1360.5393650.921270.460635
1370.5082670.9834660.491733
1380.7517820.4964360.248218
1390.7342590.5314820.265741
1400.7097410.5805180.290259
1410.6902110.6195790.309789
1420.7125790.5748420.287421
1430.7096530.5806930.290347
1440.6800330.6399340.319967
1450.6586830.6826350.341317
1460.6295860.7408280.370414
1470.5973320.8053360.402668
1480.588640.8227210.41136
1490.5590830.8818340.440917
1500.585290.8294190.41471
1510.5876520.8246960.412348
1520.5706550.858690.429345
1530.555420.889160.44458
1540.5659020.8681960.434098
1550.5470660.9058670.452934
1560.5128420.9743150.487158
1570.5172160.9655680.482784
1580.5029710.9940570.497029
1590.481830.963660.51817
1600.4713610.9427220.528639
1610.4505380.9010760.549462
1620.4165170.8330330.583483
1630.4134550.8269090.586545
1640.8669420.2661150.133058
1650.8996220.2007550.100378
1660.9067750.186450.0932249
1670.8956840.2086320.104316
1680.8816750.236650.118325
1690.8635070.2729860.136493
1700.8521450.2957110.147855
1710.8312370.3375270.168763
1720.8120920.3758160.187908
1730.8129590.3740810.187041
1740.8093140.3813710.190686
1750.8064680.3870650.193532
1760.7986060.4027870.201394
1770.7732280.4535440.226772
1780.7637380.4725240.236262
1790.8204840.3590330.179516
1800.9349250.1301510.0650755
1810.922880.154240.0771202
1820.9176250.1647510.0823753
1830.9041180.1917650.0958823
1840.8895520.2208960.110448
1850.9312710.1374580.0687291
1860.9204650.1590710.0795355
1870.9083970.1832070.0916034
1880.8988970.2022070.101103
1890.8890170.2219650.110983
1900.8809190.2381630.119081
1910.8732990.2534020.126701
1920.8640880.2718230.135912
1930.8447380.3105250.155262
1940.8352770.3294450.164723
1950.8260290.3479410.173971
1960.8068420.3863150.193158
1970.7801110.4397770.219889
1980.7493190.5013620.250681
1990.7191480.5617040.280852
2000.6910740.6178520.308926
2010.9222320.1555360.077768
2020.9118210.1763570.0881786
2030.8954060.2091880.104594
2040.8989130.2021740.101087
2050.8793720.2412560.120628
2060.8693310.2613390.130669
2070.9301880.1396250.0698123
2080.93020.13960.0698001
2090.9377740.1244530.0622264
2100.9257510.1484980.0742491
2110.9323440.1353110.0676557
2120.9306220.1387550.0693775
2130.9180680.1638640.0819318
2140.9004420.1991160.0995582
2150.889920.220160.11008
2160.8705380.2589250.129462
2170.8476920.3046160.152308
2180.9042340.1915320.0957659
2190.8892070.2215860.110793
2200.8776190.2447620.122381
2210.8575250.284950.142475
2220.9131430.1737140.086857
2230.8993130.2013740.100687
2240.8900170.2199650.109983
2250.8729020.2541950.127098
2260.882640.2347210.11736
2270.8588720.2822570.141128
2280.8293420.3413170.170658
2290.7980160.4039670.201984
2300.7668070.4663850.233193
2310.8571630.2856730.142837
2320.8373150.325370.162685
2330.8021410.3957180.197859
2340.8658920.2682150.134108
2350.8431590.3136810.156841
2360.8986210.2027570.101379
2370.9280420.1439160.0719578
2380.9187140.1625720.081286
2390.9298360.1403280.0701639
2400.9078080.1843840.0921918
2410.900680.1986410.0993205
2420.9126030.1747950.0873974
2430.8853070.2293860.114693
2440.9681450.06370930.0318546
2450.9618320.0763360.038168
2460.9480020.1039970.0519985
2470.944730.1105410.0552704
2480.9222010.1555990.0777994
2490.8929260.2141490.107074
2500.8545350.290930.145465
2510.8120110.3759780.187989
2520.8052960.3894070.194704
2530.7491470.5017070.250853
2540.6840790.6318430.315921
2550.8698570.2602860.130143
2560.8165650.366870.183435
2570.7642740.4714530.235726
2580.6850890.6298210.314911
2590.5863110.8273790.413689
2600.4850620.9701250.514938
2610.4755070.9510140.524493
2620.451210.9024210.54879
2630.4080530.8161060.591947
2640.2633460.5266930.736654






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level20.00796813OK

\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 & 2 & 0.00796813 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271905&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]2[/C][C]0.00796813[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271905&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271905&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level20.00796813OK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = 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')
}