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R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Wed, 02 Sep 2015 20:33:29 +0100

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Sep/02/t1441223593lqkr6degdu641q3.htm/, Retrieved Wed, 15 May 2024 20:45:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=280411, Retrieved Wed, 15 May 2024 20:45:00 +0000

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User-defined keywords

Estimated Impact

127

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

-     [Multiple Regression] [] [2010-11-17 09:14:55] [b98453cac15ba1066b407e146608df68]
- RMPD    [Multiple Regression] [] [2015-09-02 19:33:29] [3e99441ea7f7f69c8fa4628f6be951c3] [Current]
- RM D      [Testing Mean with unknown Variance - Critical Value] [] [2015-09-02 21:19:21] [82473208b72870f966ef7d4d2162cc96] 

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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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	9 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280411&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280411&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280411&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	9 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 30015.2 + 16.8152Calculation[t] + 17.7631Algebraic_Reasoning[t] -8.77305Graphical_Interpretation[t] + 0.40022Proportionality_and_Ratio[t] -0.548369Probability_and_Sampling[t] -4.85314Estimation[t] -14.8775year[t] + 42.184group[t] -7.42246gender[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
LFM[t] =  +  30015.2 +  16.8152Calculation[t] +  17.7631Algebraic_Reasoning[t] -8.77305Graphical_Interpretation[t] +  0.40022Proportionality_and_Ratio[t] -0.548369Probability_and_Sampling[t] -4.85314Estimation[t] -14.8775year[t] +  42.184group[t] -7.42246gender[t]  + e[t] \tabularnewline
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280411&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]LFM[t] =  +  30015.2 +  16.8152Calculation[t] +  17.7631Algebraic_Reasoning[t] -8.77305Graphical_Interpretation[t] +  0.40022Proportionality_and_Ratio[t] -0.548369Probability_and_Sampling[t] -4.85314Estimation[t] -14.8775year[t] +  42.184group[t] -7.42246gender[t]  + e[t][/C][/ROW]
[ROW][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280411&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280411&T=1

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 30015.2 + 16.8152Calculation[t] + 17.7631Algebraic_Reasoning[t] -8.77305Graphical_Interpretation[t] + 0.40022Proportionality_and_Ratio[t] -0.548369Probability_and_Sampling[t] -4.85314Estimation[t] -14.8775year[t] + 42.184group[t] -7.42246gender[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	+3.002e+04	8383	+3.5810e+00	0.0004069	0.0002035
Calculation	+16.82	13.73	+1.2250e+00	0.2216	0.1108
Algebraic_Reasoning	+17.76	12.86	+1.3810e+00	0.1684	0.08418
Graphical_Interpretation	-8.773	10.08	-8.7050e-01	0.3848	0.1924
Proportionality_and_Ratio	+0.4002	6.316	+6.3370e-02	0.9495	0.4748
Probability_and_Sampling	-0.5484	6.032	-9.0910e-02	0.9276	0.4638
Estimation	-4.853	5.583	-8.6930e-01	0.3854	0.1927
year	-14.88	4.167	-3.5700e+00	0.0004227	0.0002114
group	+42.18	4.156	+1.0150e+01	1.074e-20	5.372e-21
gender	-7.423	4.321	-1.7180e+00	0.08698	0.04349

\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) & +3.002e+04 &  8383 & +3.5810e+00 &  0.0004069 &  0.0002035 \tabularnewline
Calculation & +16.82 &  13.73 & +1.2250e+00 &  0.2216 &  0.1108 \tabularnewline
Algebraic_Reasoning & +17.76 &  12.86 & +1.3810e+00 &  0.1684 &  0.08418 \tabularnewline
Graphical_Interpretation & -8.773 &  10.08 & -8.7050e-01 &  0.3848 &  0.1924 \tabularnewline
Proportionality_and_Ratio & +0.4002 &  6.316 & +6.3370e-02 &  0.9495 &  0.4748 \tabularnewline
Probability_and_Sampling & -0.5484 &  6.032 & -9.0910e-02 &  0.9276 &  0.4638 \tabularnewline
Estimation & -4.853 &  5.583 & -8.6930e-01 &  0.3854 &  0.1927 \tabularnewline
year & -14.88 &  4.167 & -3.5700e+00 &  0.0004227 &  0.0002114 \tabularnewline
group & +42.18 &  4.156 & +1.0150e+01 &  1.074e-20 &  5.372e-21 \tabularnewline
gender & -7.423 &  4.321 & -1.7180e+00 &  0.08698 &  0.04349 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280411&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]+3.002e+04[/C][C] 8383[/C][C]+3.5810e+00[/C][C] 0.0004069[/C][C] 0.0002035[/C][/ROW]
[ROW][C]Calculation[/C][C]+16.82[/C][C] 13.73[/C][C]+1.2250e+00[/C][C] 0.2216[/C][C] 0.1108[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]+17.76[/C][C] 12.86[/C][C]+1.3810e+00[/C][C] 0.1684[/C][C] 0.08418[/C][/ROW]
[ROW][C]Graphical_Interpretation[/C][C]-8.773[/C][C] 10.08[/C][C]-8.7050e-01[/C][C] 0.3848[/C][C] 0.1924[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[/C][C]+0.4002[/C][C] 6.316[/C][C]+6.3370e-02[/C][C] 0.9495[/C][C] 0.4748[/C][/ROW]
[ROW][C]Probability_and_Sampling[/C][C]-0.5484[/C][C] 6.032[/C][C]-9.0910e-02[/C][C] 0.9276[/C][C] 0.4638[/C][/ROW]
[ROW][C]Estimation[/C][C]-4.853[/C][C] 5.583[/C][C]-8.6930e-01[/C][C] 0.3854[/C][C] 0.1927[/C][/ROW]
[ROW][C]year[/C][C]-14.88[/C][C] 4.167[/C][C]-3.5700e+00[/C][C] 0.0004227[/C][C] 0.0002114[/C][/ROW]
[ROW][C]group[/C][C]+42.18[/C][C] 4.156[/C][C]+1.0150e+01[/C][C] 1.074e-20[/C][C] 5.372e-21[/C][/ROW]
[ROW][C]gender[/C][C]-7.423[/C][C] 4.321[/C][C]-1.7180e+00[/C][C] 0.08698[/C][C] 0.04349[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280411&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280411&T=2

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	+3.002e+04	8383	+3.5810e+00	0.0004069	0.0002035
Calculation	+16.82	13.73	+1.2250e+00	0.2216	0.1108
Algebraic_Reasoning	+17.76	12.86	+1.3810e+00	0.1684	0.08418
Graphical_Interpretation	-8.773	10.08	-8.7050e-01	0.3848	0.1924
Proportionality_and_Ratio	+0.4002	6.316	+6.3370e-02	0.9495	0.4748
Probability_and_Sampling	-0.5484	6.032	-9.0910e-02	0.9276	0.4638
Estimation	-4.853	5.583	-8.6930e-01	0.3854	0.1927
year	-14.88	4.167	-3.5700e+00	0.0004227	0.0002114
group	+42.18	4.156	+1.0150e+01	1.074e-20	5.372e-21
gender	-7.423	4.321	-1.7180e+00	0.08698	0.04349

Multiple Linear Regression - Regression Statistics
Multiple R	0.5689
R-squared	0.3237
Adjusted R-squared	0.301
F-TEST (value)	14.25
F-TEST (DF numerator)	9
F-TEST (DF denominator)	268
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	33.3
Sum Squared Residuals	2.973e+05

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R &  0.5689 \tabularnewline
R-squared &  0.3237 \tabularnewline
Adjusted R-squared &  0.301 \tabularnewline
F-TEST (value) &  14.25 \tabularnewline
F-TEST (DF numerator) & 9 \tabularnewline
F-TEST (DF denominator) & 268 \tabularnewline
p-value &  0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation &  33.3 \tabularnewline
Sum Squared Residuals &  2.973e+05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280411&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C] 0.5689[/C][/ROW]
[ROW][C]R-squared[/C][C] 0.3237[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C] 0.301[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C] 14.25[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]9[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]268[/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] 33.3[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C] 2.973e+05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280411&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280411&T=3

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Regression Statistics
Multiple R	0.5689
R-squared	0.3237
Adjusted R-squared	0.301
F-TEST (value)	14.25
F-TEST (DF numerator)	9
F-TEST (DF denominator)	268
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	33.3
Sum Squared Residuals	2.973e+05

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	149	156.3	-7.347
2	139	142.8	-3.834
3	148	147.4	0.6011
4	158	147.8	10.17
5	128	147.4	-19.38
6	224	147	76.99
7	159	153.5	5.531
8	105	145.7	-40.66
9	159	151.1	7.892
10	167	149.7	17.29
11	165	152.3	12.68
12	159	139.4	19.65
13	119	141.9	-22.86
14	176	151.8	24.21
15	54	156.8	-102.8
16	91	113.1	-22.15
17	163	143.5	19.52
18	124	151.5	-27.51
19	137	104.2	32.82
20	121	144.6	-23.62
21	153	143.2	9.836
22	148	143.4	4.607
23	221	150.5	70.54
24	188	137.8	50.22
25	149	149.6	-0.6102
26	244	134.5	109.5
27	148	109.6	38.38
28	92	109.1	-17.13
29	150	140.1	9.891
30	153	144.1	8.935
31	94	144.6	-50.61
32	156	149.8	6.248
33	132	147.5	-15.46
34	161	143.6	17.4
35	105	144.2	-39.24
36	97	138.6	-41.63
37	151	145.3	5.69
38	131	99.6	31.4
39	166	145.4	20.6
40	157	152.5	4.546
41	111	143.8	-32.83
42	145	139.7	5.298
43	162	143.1	18.88
44	163	142	21.04
45	59	93.81	-34.81
46	187	154.7	32.33
47	109	140.5	-31.54
48	90	96.97	-6.965
49	105	156.2	-51.19
50	83	102.6	-19.62
51	116	99.67	16.33
52	42	96.32	-54.32
53	148	136.9	11.08
54	155	103.6	51.42
55	125	142.4	-17.44
56	116	144.8	-28.83
57	128	105	23.01
58	138	144.3	-6.313
59	49	102.8	-53.84
60	96	108.2	-12.25
61	164	150.8	13.19
62	162	153.6	8.396
63	99	141.8	-42.78
64	202	142.2	59.81
65	186	149.8	36.25
66	66	95.86	-29.86
67	183	144.6	38.38
68	214	138	76.01
69	188	142	45.97
70	104	105.2	-1.176
71	177	155.6	21.41
72	126	152.7	-26.72
73	76	112.3	-36.28
74	99	100.8	-1.786
75	139	151.3	-12.25
76	162	159.4	2.563
77	108	106.8	1.161
78	159	149.7	9.311
79	74	101.9	-27.95
80	110	145.9	-35.91
81	96	112.5	-16.47
82	116	108.7	7.289
83	87	106.4	-19.36
84	97	95.81	1.193
85	127	104.8	22.25
86	106	105.4	0.5881
87	80	99.15	-19.15
88	74	106.8	-32.84
89	91	110.9	-19.92
90	133	104.4	28.56
91	74	101.3	-27.29
92	114	93.68	20.32
93	140	100.7	39.28
94	95	104.7	-9.731
95	98	98.94	-0.9424
96	121	111.4	9.605
97	126	107.8	18.17
98	98	102.9	-4.938
99	95	102.6	-7.562
100	110	97.16	12.84
101	70	100.5	-30.49
102	102	105.6	-3.639
103	86	103.9	-17.9
104	130	99.59	30.41
105	96	101.7	-5.727
106	102	111.3	-9.332
107	100	105.5	-5.541
108	94	108.8	-14.8
109	52	107.8	-55.83
110	98	105.5	-7.45
111	118	110.5	7.463
112	99	95.58	3.415
113	48	126	-77.99
114	50	120.9	-70.92
115	150	125	25.01
116	154	124.8	29.24
117	109	98.73	10.27
118	68	81.37	-13.37
119	194	133.6	60.45
120	158	130.2	27.8
121	159	130.2	28.78
122	67	132.8	-65.83
123	147	128.5	18.46
124	39	128.5	-89.5
125	100	119.6	-19.62
126	111	122.2	-11.25
127	138	128.2	9.828
128	101	121.8	-20.78
129	131	90.33	40.67
130	101	129.6	-28.59
131	114	124.7	-10.68
132	165	139	26.04
133	114	123.8	-9.826
134	111	118.4	-7.377
135	75	125.7	-50.72
136	82	122.8	-40.82
137	121	122.7	-1.701
138	32	131.8	-99.8
139	150	135.9	14.14
140	117	128.4	-11.37
141	71	82.59	-11.59
142	165	121.1	43.86
143	154	121.9	32.06
144	126	124.8	1.175
145	149	133.4	15.59
146	145	139.7	5.307
147	120	119.7	0.3095
148	109	134.6	-25.62
149	132	131.1	0.8553
150	172	126.2	45.83
151	169	134.4	34.61
152	114	136.3	-22.3
153	156	130.3	25.73
154	172	133.7	38.26
155	68	88.42	-20.42
156	89	83.86	5.136
157	167	130.1	36.92
158	113	135.4	-22.44
159	115	97.1	17.9
160	78	92.71	-14.71
161	118	97.3	20.7
162	87	82.62	4.385
163	173	137.1	35.85
164	2	127	-125
165	162	97.68	64.32
166	49	80.38	-31.38
167	122	99.02	22.98
168	96	86.77	9.225
169	100	92.84	7.163
170	82	88.14	-6.14
171	100	89.47	10.53
172	115	95.97	19.03
173	141	100.1	40.87
174	165	126.3	38.67
175	165	126.3	38.67
176	110	81	29
177	118	124.4	-6.404
178	158	134.9	23.14
179	146	89.68	56.32
180	49	130.5	-81.46
181	90	96.58	-6.584
182	121	94.92	26.08
183	155	135.1	19.86
184	104	98.79	5.209
185	147	89.98	57.02
186	110	100.5	9.457
187	108	100.5	7.457
188	113	100.5	12.46
189	115	98.69	16.31
190	61	95.72	-34.72
191	60	87.97	-27.97
192	109	75.51	33.49
193	68	78.28	-10.28
194	111	88.75	22.25
195	77	90.11	-13.11
196	73	91.45	-18.45
197	151	141.6	9.357
198	89	85.68	3.318
199	78	87.62	-9.621
200	110	91.27	18.73
201	220	130.2	89.78
202	65	88.68	-23.68
203	141	128	13.01
204	117	95.26	21.74
205	122	125.7	-3.676
206	63	91.96	-28.96
207	44	121	-76.99
208	52	84.69	-32.69
209	131	81.62	49.38
210	101	83.66	17.34
211	42	91.69	-49.69
212	152	126.5	25.46
213	107	128.8	-21.83
214	77	89.78	-12.78
215	154	139.3	14.66
216	103	124.8	-21.79
217	96	86.93	9.074
218	175	126.1	48.88
219	57	90.94	-33.94
220	112	101.2	10.8
221	143	129.8	13.23
222	49	82.88	-33.88
223	110	133.4	-23.43
224	131	123.6	7.381
225	167	127.5	39.52
226	56	97.81	-41.81
227	137	127.6	9.44
228	86	84.26	1.736
229	121	132.4	-11.37
230	149	134.6	14.41
231	168	131.2	36.79
232	140	128.6	11.44
233	88	84.42	3.583
234	168	125.7	42.25
235	94	123.8	-29.78
236	51	130.3	-79.35
237	48	95.25	-47.25
238	145	123	22
239	66	121.9	-55.94
240	85	86.49	-1.495
241	109	134	-25.02
242	63	91.11	-28.11
243	102	86.76	15.24
244	162	97.68	64.32
245	86	87.9	-1.896
246	114	84.21	29.79
247	164	132.6	31.4
248	119	132.8	-13.81
249	126	133.8	-7.755
250	132	121.3	10.66
251	142	130	12.04
252	83	137.9	-54.92
253	94	88.39	5.606
254	81	92.45	-11.45
255	166	129.9	36.12
256	110	95.8	14.2
257	64	85.52	-21.52
258	93	140.6	-47.59
259	104	92.2	11.8
260	105	79.99	25.01
261	49	80.38	-31.38
262	88	97.65	-9.648
263	95	87.26	7.745
264	102	86.76	15.24
265	99	90.86	8.141
266	63	80.66	-17.66
267	76	99.86	-23.86
268	109	86.89	22.11
269	117	92.57	24.43
270	57	92.26	-35.26
271	120	94.56	25.44
272	73	84.14	-11.14
273	91	81.98	9.017
274	108	95.39	12.61
275	105	85.81	19.19
276	117	139.2	-22.17
277	119	97.81	21.19
278	31	98.41	-67.41

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 &  149 &  156.3 & -7.347 \tabularnewline
2 &  139 &  142.8 & -3.834 \tabularnewline
3 &  148 &  147.4 &  0.6011 \tabularnewline
4 &  158 &  147.8 &  10.17 \tabularnewline
5 &  128 &  147.4 & -19.38 \tabularnewline
6 &  224 &  147 &  76.99 \tabularnewline
7 &  159 &  153.5 &  5.531 \tabularnewline
8 &  105 &  145.7 & -40.66 \tabularnewline
9 &  159 &  151.1 &  7.892 \tabularnewline
10 &  167 &  149.7 &  17.29 \tabularnewline
11 &  165 &  152.3 &  12.68 \tabularnewline
12 &  159 &  139.4 &  19.65 \tabularnewline
13 &  119 &  141.9 & -22.86 \tabularnewline
14 &  176 &  151.8 &  24.21 \tabularnewline
15 &  54 &  156.8 & -102.8 \tabularnewline
16 &  91 &  113.1 & -22.15 \tabularnewline
17 &  163 &  143.5 &  19.52 \tabularnewline
18 &  124 &  151.5 & -27.51 \tabularnewline
19 &  137 &  104.2 &  32.82 \tabularnewline
20 &  121 &  144.6 & -23.62 \tabularnewline
21 &  153 &  143.2 &  9.836 \tabularnewline
22 &  148 &  143.4 &  4.607 \tabularnewline
23 &  221 &  150.5 &  70.54 \tabularnewline
24 &  188 &  137.8 &  50.22 \tabularnewline
25 &  149 &  149.6 & -0.6102 \tabularnewline
26 &  244 &  134.5 &  109.5 \tabularnewline
27 &  148 &  109.6 &  38.38 \tabularnewline
28 &  92 &  109.1 & -17.13 \tabularnewline
29 &  150 &  140.1 &  9.891 \tabularnewline
30 &  153 &  144.1 &  8.935 \tabularnewline
31 &  94 &  144.6 & -50.61 \tabularnewline
32 &  156 &  149.8 &  6.248 \tabularnewline
33 &  132 &  147.5 & -15.46 \tabularnewline
34 &  161 &  143.6 &  17.4 \tabularnewline
35 &  105 &  144.2 & -39.24 \tabularnewline
36 &  97 &  138.6 & -41.63 \tabularnewline
37 &  151 &  145.3 &  5.69 \tabularnewline
38 &  131 &  99.6 &  31.4 \tabularnewline
39 &  166 &  145.4 &  20.6 \tabularnewline
40 &  157 &  152.5 &  4.546 \tabularnewline
41 &  111 &  143.8 & -32.83 \tabularnewline
42 &  145 &  139.7 &  5.298 \tabularnewline
43 &  162 &  143.1 &  18.88 \tabularnewline
44 &  163 &  142 &  21.04 \tabularnewline
45 &  59 &  93.81 & -34.81 \tabularnewline
46 &  187 &  154.7 &  32.33 \tabularnewline
47 &  109 &  140.5 & -31.54 \tabularnewline
48 &  90 &  96.97 & -6.965 \tabularnewline
49 &  105 &  156.2 & -51.19 \tabularnewline
50 &  83 &  102.6 & -19.62 \tabularnewline
51 &  116 &  99.67 &  16.33 \tabularnewline
52 &  42 &  96.32 & -54.32 \tabularnewline
53 &  148 &  136.9 &  11.08 \tabularnewline
54 &  155 &  103.6 &  51.42 \tabularnewline
55 &  125 &  142.4 & -17.44 \tabularnewline
56 &  116 &  144.8 & -28.83 \tabularnewline
57 &  128 &  105 &  23.01 \tabularnewline
58 &  138 &  144.3 & -6.313 \tabularnewline
59 &  49 &  102.8 & -53.84 \tabularnewline
60 &  96 &  108.2 & -12.25 \tabularnewline
61 &  164 &  150.8 &  13.19 \tabularnewline
62 &  162 &  153.6 &  8.396 \tabularnewline
63 &  99 &  141.8 & -42.78 \tabularnewline
64 &  202 &  142.2 &  59.81 \tabularnewline
65 &  186 &  149.8 &  36.25 \tabularnewline
66 &  66 &  95.86 & -29.86 \tabularnewline
67 &  183 &  144.6 &  38.38 \tabularnewline
68 &  214 &  138 &  76.01 \tabularnewline
69 &  188 &  142 &  45.97 \tabularnewline
70 &  104 &  105.2 & -1.176 \tabularnewline
71 &  177 &  155.6 &  21.41 \tabularnewline
72 &  126 &  152.7 & -26.72 \tabularnewline
73 &  76 &  112.3 & -36.28 \tabularnewline
74 &  99 &  100.8 & -1.786 \tabularnewline
75 &  139 &  151.3 & -12.25 \tabularnewline
76 &  162 &  159.4 &  2.563 \tabularnewline
77 &  108 &  106.8 &  1.161 \tabularnewline
78 &  159 &  149.7 &  9.311 \tabularnewline
79 &  74 &  101.9 & -27.95 \tabularnewline
80 &  110 &  145.9 & -35.91 \tabularnewline
81 &  96 &  112.5 & -16.47 \tabularnewline
82 &  116 &  108.7 &  7.289 \tabularnewline
83 &  87 &  106.4 & -19.36 \tabularnewline
84 &  97 &  95.81 &  1.193 \tabularnewline
85 &  127 &  104.8 &  22.25 \tabularnewline
86 &  106 &  105.4 &  0.5881 \tabularnewline
87 &  80 &  99.15 & -19.15 \tabularnewline
88 &  74 &  106.8 & -32.84 \tabularnewline
89 &  91 &  110.9 & -19.92 \tabularnewline
90 &  133 &  104.4 &  28.56 \tabularnewline
91 &  74 &  101.3 & -27.29 \tabularnewline
92 &  114 &  93.68 &  20.32 \tabularnewline
93 &  140 &  100.7 &  39.28 \tabularnewline
94 &  95 &  104.7 & -9.731 \tabularnewline
95 &  98 &  98.94 & -0.9424 \tabularnewline
96 &  121 &  111.4 &  9.605 \tabularnewline
97 &  126 &  107.8 &  18.17 \tabularnewline
98 &  98 &  102.9 & -4.938 \tabularnewline
99 &  95 &  102.6 & -7.562 \tabularnewline
100 &  110 &  97.16 &  12.84 \tabularnewline
101 &  70 &  100.5 & -30.49 \tabularnewline
102 &  102 &  105.6 & -3.639 \tabularnewline
103 &  86 &  103.9 & -17.9 \tabularnewline
104 &  130 &  99.59 &  30.41 \tabularnewline
105 &  96 &  101.7 & -5.727 \tabularnewline
106 &  102 &  111.3 & -9.332 \tabularnewline
107 &  100 &  105.5 & -5.541 \tabularnewline
108 &  94 &  108.8 & -14.8 \tabularnewline
109 &  52 &  107.8 & -55.83 \tabularnewline
110 &  98 &  105.5 & -7.45 \tabularnewline
111 &  118 &  110.5 &  7.463 \tabularnewline
112 &  99 &  95.58 &  3.415 \tabularnewline
113 &  48 &  126 & -77.99 \tabularnewline
114 &  50 &  120.9 & -70.92 \tabularnewline
115 &  150 &  125 &  25.01 \tabularnewline
116 &  154 &  124.8 &  29.24 \tabularnewline
117 &  109 &  98.73 &  10.27 \tabularnewline
118 &  68 &  81.37 & -13.37 \tabularnewline
119 &  194 &  133.6 &  60.45 \tabularnewline
120 &  158 &  130.2 &  27.8 \tabularnewline
121 &  159 &  130.2 &  28.78 \tabularnewline
122 &  67 &  132.8 & -65.83 \tabularnewline
123 &  147 &  128.5 &  18.46 \tabularnewline
124 &  39 &  128.5 & -89.5 \tabularnewline
125 &  100 &  119.6 & -19.62 \tabularnewline
126 &  111 &  122.2 & -11.25 \tabularnewline
127 &  138 &  128.2 &  9.828 \tabularnewline
128 &  101 &  121.8 & -20.78 \tabularnewline
129 &  131 &  90.33 &  40.67 \tabularnewline
130 &  101 &  129.6 & -28.59 \tabularnewline
131 &  114 &  124.7 & -10.68 \tabularnewline
132 &  165 &  139 &  26.04 \tabularnewline
133 &  114 &  123.8 & -9.826 \tabularnewline
134 &  111 &  118.4 & -7.377 \tabularnewline
135 &  75 &  125.7 & -50.72 \tabularnewline
136 &  82 &  122.8 & -40.82 \tabularnewline
137 &  121 &  122.7 & -1.701 \tabularnewline
138 &  32 &  131.8 & -99.8 \tabularnewline
139 &  150 &  135.9 &  14.14 \tabularnewline
140 &  117 &  128.4 & -11.37 \tabularnewline
141 &  71 &  82.59 & -11.59 \tabularnewline
142 &  165 &  121.1 &  43.86 \tabularnewline
143 &  154 &  121.9 &  32.06 \tabularnewline
144 &  126 &  124.8 &  1.175 \tabularnewline
145 &  149 &  133.4 &  15.59 \tabularnewline
146 &  145 &  139.7 &  5.307 \tabularnewline
147 &  120 &  119.7 &  0.3095 \tabularnewline
148 &  109 &  134.6 & -25.62 \tabularnewline
149 &  132 &  131.1 &  0.8553 \tabularnewline
150 &  172 &  126.2 &  45.83 \tabularnewline
151 &  169 &  134.4 &  34.61 \tabularnewline
152 &  114 &  136.3 & -22.3 \tabularnewline
153 &  156 &  130.3 &  25.73 \tabularnewline
154 &  172 &  133.7 &  38.26 \tabularnewline
155 &  68 &  88.42 & -20.42 \tabularnewline
156 &  89 &  83.86 &  5.136 \tabularnewline
157 &  167 &  130.1 &  36.92 \tabularnewline
158 &  113 &  135.4 & -22.44 \tabularnewline
159 &  115 &  97.1 &  17.9 \tabularnewline
160 &  78 &  92.71 & -14.71 \tabularnewline
161 &  118 &  97.3 &  20.7 \tabularnewline
162 &  87 &  82.62 &  4.385 \tabularnewline
163 &  173 &  137.1 &  35.85 \tabularnewline
164 &  2 &  127 & -125 \tabularnewline
165 &  162 &  97.68 &  64.32 \tabularnewline
166 &  49 &  80.38 & -31.38 \tabularnewline
167 &  122 &  99.02 &  22.98 \tabularnewline
168 &  96 &  86.77 &  9.225 \tabularnewline
169 &  100 &  92.84 &  7.163 \tabularnewline
170 &  82 &  88.14 & -6.14 \tabularnewline
171 &  100 &  89.47 &  10.53 \tabularnewline
172 &  115 &  95.97 &  19.03 \tabularnewline
173 &  141 &  100.1 &  40.87 \tabularnewline
174 &  165 &  126.3 &  38.67 \tabularnewline
175 &  165 &  126.3 &  38.67 \tabularnewline
176 &  110 &  81 &  29 \tabularnewline
177 &  118 &  124.4 & -6.404 \tabularnewline
178 &  158 &  134.9 &  23.14 \tabularnewline
179 &  146 &  89.68 &  56.32 \tabularnewline
180 &  49 &  130.5 & -81.46 \tabularnewline
181 &  90 &  96.58 & -6.584 \tabularnewline
182 &  121 &  94.92 &  26.08 \tabularnewline
183 &  155 &  135.1 &  19.86 \tabularnewline
184 &  104 &  98.79 &  5.209 \tabularnewline
185 &  147 &  89.98 &  57.02 \tabularnewline
186 &  110 &  100.5 &  9.457 \tabularnewline
187 &  108 &  100.5 &  7.457 \tabularnewline
188 &  113 &  100.5 &  12.46 \tabularnewline
189 &  115 &  98.69 &  16.31 \tabularnewline
190 &  61 &  95.72 & -34.72 \tabularnewline
191 &  60 &  87.97 & -27.97 \tabularnewline
192 &  109 &  75.51 &  33.49 \tabularnewline
193 &  68 &  78.28 & -10.28 \tabularnewline
194 &  111 &  88.75 &  22.25 \tabularnewline
195 &  77 &  90.11 & -13.11 \tabularnewline
196 &  73 &  91.45 & -18.45 \tabularnewline
197 &  151 &  141.6 &  9.357 \tabularnewline
198 &  89 &  85.68 &  3.318 \tabularnewline
199 &  78 &  87.62 & -9.621 \tabularnewline
200 &  110 &  91.27 &  18.73 \tabularnewline
201 &  220 &  130.2 &  89.78 \tabularnewline
202 &  65 &  88.68 & -23.68 \tabularnewline
203 &  141 &  128 &  13.01 \tabularnewline
204 &  117 &  95.26 &  21.74 \tabularnewline
205 &  122 &  125.7 & -3.676 \tabularnewline
206 &  63 &  91.96 & -28.96 \tabularnewline
207 &  44 &  121 & -76.99 \tabularnewline
208 &  52 &  84.69 & -32.69 \tabularnewline
209 &  131 &  81.62 &  49.38 \tabularnewline
210 &  101 &  83.66 &  17.34 \tabularnewline
211 &  42 &  91.69 & -49.69 \tabularnewline
212 &  152 &  126.5 &  25.46 \tabularnewline
213 &  107 &  128.8 & -21.83 \tabularnewline
214 &  77 &  89.78 & -12.78 \tabularnewline
215 &  154 &  139.3 &  14.66 \tabularnewline
216 &  103 &  124.8 & -21.79 \tabularnewline
217 &  96 &  86.93 &  9.074 \tabularnewline
218 &  175 &  126.1 &  48.88 \tabularnewline
219 &  57 &  90.94 & -33.94 \tabularnewline
220 &  112 &  101.2 &  10.8 \tabularnewline
221 &  143 &  129.8 &  13.23 \tabularnewline
222 &  49 &  82.88 & -33.88 \tabularnewline
223 &  110 &  133.4 & -23.43 \tabularnewline
224 &  131 &  123.6 &  7.381 \tabularnewline
225 &  167 &  127.5 &  39.52 \tabularnewline
226 &  56 &  97.81 & -41.81 \tabularnewline
227 &  137 &  127.6 &  9.44 \tabularnewline
228 &  86 &  84.26 &  1.736 \tabularnewline
229 &  121 &  132.4 & -11.37 \tabularnewline
230 &  149 &  134.6 &  14.41 \tabularnewline
231 &  168 &  131.2 &  36.79 \tabularnewline
232 &  140 &  128.6 &  11.44 \tabularnewline
233 &  88 &  84.42 &  3.583 \tabularnewline
234 &  168 &  125.7 &  42.25 \tabularnewline
235 &  94 &  123.8 & -29.78 \tabularnewline
236 &  51 &  130.3 & -79.35 \tabularnewline
237 &  48 &  95.25 & -47.25 \tabularnewline
238 &  145 &  123 &  22 \tabularnewline
239 &  66 &  121.9 & -55.94 \tabularnewline
240 &  85 &  86.49 & -1.495 \tabularnewline
241 &  109 &  134 & -25.02 \tabularnewline
242 &  63 &  91.11 & -28.11 \tabularnewline
243 &  102 &  86.76 &  15.24 \tabularnewline
244 &  162 &  97.68 &  64.32 \tabularnewline
245 &  86 &  87.9 & -1.896 \tabularnewline
246 &  114 &  84.21 &  29.79 \tabularnewline
247 &  164 &  132.6 &  31.4 \tabularnewline
248 &  119 &  132.8 & -13.81 \tabularnewline
249 &  126 &  133.8 & -7.755 \tabularnewline
250 &  132 &  121.3 &  10.66 \tabularnewline
251 &  142 &  130 &  12.04 \tabularnewline
252 &  83 &  137.9 & -54.92 \tabularnewline
253 &  94 &  88.39 &  5.606 \tabularnewline
254 &  81 &  92.45 & -11.45 \tabularnewline
255 &  166 &  129.9 &  36.12 \tabularnewline
256 &  110 &  95.8 &  14.2 \tabularnewline
257 &  64 &  85.52 & -21.52 \tabularnewline
258 &  93 &  140.6 & -47.59 \tabularnewline
259 &  104 &  92.2 &  11.8 \tabularnewline
260 &  105 &  79.99 &  25.01 \tabularnewline
261 &  49 &  80.38 & -31.38 \tabularnewline
262 &  88 &  97.65 & -9.648 \tabularnewline
263 &  95 &  87.26 &  7.745 \tabularnewline
264 &  102 &  86.76 &  15.24 \tabularnewline
265 &  99 &  90.86 &  8.141 \tabularnewline
266 &  63 &  80.66 & -17.66 \tabularnewline
267 &  76 &  99.86 & -23.86 \tabularnewline
268 &  109 &  86.89 &  22.11 \tabularnewline
269 &  117 &  92.57 &  24.43 \tabularnewline
270 &  57 &  92.26 & -35.26 \tabularnewline
271 &  120 &  94.56 &  25.44 \tabularnewline
272 &  73 &  84.14 & -11.14 \tabularnewline
273 &  91 &  81.98 &  9.017 \tabularnewline
274 &  108 &  95.39 &  12.61 \tabularnewline
275 &  105 &  85.81 &  19.19 \tabularnewline
276 &  117 &  139.2 & -22.17 \tabularnewline
277 &  119 &  97.81 &  21.19 \tabularnewline
278 &  31 &  98.41 & -67.41 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280411&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C] 149[/C][C] 156.3[/C][C]-7.347[/C][/ROW]
[ROW][C]2[/C][C] 139[/C][C] 142.8[/C][C]-3.834[/C][/ROW]
[ROW][C]3[/C][C] 148[/C][C] 147.4[/C][C] 0.6011[/C][/ROW]
[ROW][C]4[/C][C] 158[/C][C] 147.8[/C][C] 10.17[/C][/ROW]
[ROW][C]5[/C][C] 128[/C][C] 147.4[/C][C]-19.38[/C][/ROW]
[ROW][C]6[/C][C] 224[/C][C] 147[/C][C] 76.99[/C][/ROW]
[ROW][C]7[/C][C] 159[/C][C] 153.5[/C][C] 5.531[/C][/ROW]
[ROW][C]8[/C][C] 105[/C][C] 145.7[/C][C]-40.66[/C][/ROW]
[ROW][C]9[/C][C] 159[/C][C] 151.1[/C][C] 7.892[/C][/ROW]
[ROW][C]10[/C][C] 167[/C][C] 149.7[/C][C] 17.29[/C][/ROW]
[ROW][C]11[/C][C] 165[/C][C] 152.3[/C][C] 12.68[/C][/ROW]
[ROW][C]12[/C][C] 159[/C][C] 139.4[/C][C] 19.65[/C][/ROW]
[ROW][C]13[/C][C] 119[/C][C] 141.9[/C][C]-22.86[/C][/ROW]
[ROW][C]14[/C][C] 176[/C][C] 151.8[/C][C] 24.21[/C][/ROW]
[ROW][C]15[/C][C] 54[/C][C] 156.8[/C][C]-102.8[/C][/ROW]
[ROW][C]16[/C][C] 91[/C][C] 113.1[/C][C]-22.15[/C][/ROW]
[ROW][C]17[/C][C] 163[/C][C] 143.5[/C][C] 19.52[/C][/ROW]
[ROW][C]18[/C][C] 124[/C][C] 151.5[/C][C]-27.51[/C][/ROW]
[ROW][C]19[/C][C] 137[/C][C] 104.2[/C][C] 32.82[/C][/ROW]
[ROW][C]20[/C][C] 121[/C][C] 144.6[/C][C]-23.62[/C][/ROW]
[ROW][C]21[/C][C] 153[/C][C] 143.2[/C][C] 9.836[/C][/ROW]
[ROW][C]22[/C][C] 148[/C][C] 143.4[/C][C] 4.607[/C][/ROW]
[ROW][C]23[/C][C] 221[/C][C] 150.5[/C][C] 70.54[/C][/ROW]
[ROW][C]24[/C][C] 188[/C][C] 137.8[/C][C] 50.22[/C][/ROW]
[ROW][C]25[/C][C] 149[/C][C] 149.6[/C][C]-0.6102[/C][/ROW]
[ROW][C]26[/C][C] 244[/C][C] 134.5[/C][C] 109.5[/C][/ROW]
[ROW][C]27[/C][C] 148[/C][C] 109.6[/C][C] 38.38[/C][/ROW]
[ROW][C]28[/C][C] 92[/C][C] 109.1[/C][C]-17.13[/C][/ROW]
[ROW][C]29[/C][C] 150[/C][C] 140.1[/C][C] 9.891[/C][/ROW]
[ROW][C]30[/C][C] 153[/C][C] 144.1[/C][C] 8.935[/C][/ROW]
[ROW][C]31[/C][C] 94[/C][C] 144.6[/C][C]-50.61[/C][/ROW]
[ROW][C]32[/C][C] 156[/C][C] 149.8[/C][C] 6.248[/C][/ROW]
[ROW][C]33[/C][C] 132[/C][C] 147.5[/C][C]-15.46[/C][/ROW]
[ROW][C]34[/C][C] 161[/C][C] 143.6[/C][C] 17.4[/C][/ROW]
[ROW][C]35[/C][C] 105[/C][C] 144.2[/C][C]-39.24[/C][/ROW]
[ROW][C]36[/C][C] 97[/C][C] 138.6[/C][C]-41.63[/C][/ROW]
[ROW][C]37[/C][C] 151[/C][C] 145.3[/C][C] 5.69[/C][/ROW]
[ROW][C]38[/C][C] 131[/C][C] 99.6[/C][C] 31.4[/C][/ROW]
[ROW][C]39[/C][C] 166[/C][C] 145.4[/C][C] 20.6[/C][/ROW]
[ROW][C]40[/C][C] 157[/C][C] 152.5[/C][C] 4.546[/C][/ROW]
[ROW][C]41[/C][C] 111[/C][C] 143.8[/C][C]-32.83[/C][/ROW]
[ROW][C]42[/C][C] 145[/C][C] 139.7[/C][C] 5.298[/C][/ROW]
[ROW][C]43[/C][C] 162[/C][C] 143.1[/C][C] 18.88[/C][/ROW]
[ROW][C]44[/C][C] 163[/C][C] 142[/C][C] 21.04[/C][/ROW]
[ROW][C]45[/C][C] 59[/C][C] 93.81[/C][C]-34.81[/C][/ROW]
[ROW][C]46[/C][C] 187[/C][C] 154.7[/C][C] 32.33[/C][/ROW]
[ROW][C]47[/C][C] 109[/C][C] 140.5[/C][C]-31.54[/C][/ROW]
[ROW][C]48[/C][C] 90[/C][C] 96.97[/C][C]-6.965[/C][/ROW]
[ROW][C]49[/C][C] 105[/C][C] 156.2[/C][C]-51.19[/C][/ROW]
[ROW][C]50[/C][C] 83[/C][C] 102.6[/C][C]-19.62[/C][/ROW]
[ROW][C]51[/C][C] 116[/C][C] 99.67[/C][C] 16.33[/C][/ROW]
[ROW][C]52[/C][C] 42[/C][C] 96.32[/C][C]-54.32[/C][/ROW]
[ROW][C]53[/C][C] 148[/C][C] 136.9[/C][C] 11.08[/C][/ROW]
[ROW][C]54[/C][C] 155[/C][C] 103.6[/C][C] 51.42[/C][/ROW]
[ROW][C]55[/C][C] 125[/C][C] 142.4[/C][C]-17.44[/C][/ROW]
[ROW][C]56[/C][C] 116[/C][C] 144.8[/C][C]-28.83[/C][/ROW]
[ROW][C]57[/C][C] 128[/C][C] 105[/C][C] 23.01[/C][/ROW]
[ROW][C]58[/C][C] 138[/C][C] 144.3[/C][C]-6.313[/C][/ROW]
[ROW][C]59[/C][C] 49[/C][C] 102.8[/C][C]-53.84[/C][/ROW]
[ROW][C]60[/C][C] 96[/C][C] 108.2[/C][C]-12.25[/C][/ROW]
[ROW][C]61[/C][C] 164[/C][C] 150.8[/C][C] 13.19[/C][/ROW]
[ROW][C]62[/C][C] 162[/C][C] 153.6[/C][C] 8.396[/C][/ROW]
[ROW][C]63[/C][C] 99[/C][C] 141.8[/C][C]-42.78[/C][/ROW]
[ROW][C]64[/C][C] 202[/C][C] 142.2[/C][C] 59.81[/C][/ROW]
[ROW][C]65[/C][C] 186[/C][C] 149.8[/C][C] 36.25[/C][/ROW]
[ROW][C]66[/C][C] 66[/C][C] 95.86[/C][C]-29.86[/C][/ROW]
[ROW][C]67[/C][C] 183[/C][C] 144.6[/C][C] 38.38[/C][/ROW]
[ROW][C]68[/C][C] 214[/C][C] 138[/C][C] 76.01[/C][/ROW]
[ROW][C]69[/C][C] 188[/C][C] 142[/C][C] 45.97[/C][/ROW]
[ROW][C]70[/C][C] 104[/C][C] 105.2[/C][C]-1.176[/C][/ROW]
[ROW][C]71[/C][C] 177[/C][C] 155.6[/C][C] 21.41[/C][/ROW]
[ROW][C]72[/C][C] 126[/C][C] 152.7[/C][C]-26.72[/C][/ROW]
[ROW][C]73[/C][C] 76[/C][C] 112.3[/C][C]-36.28[/C][/ROW]
[ROW][C]74[/C][C] 99[/C][C] 100.8[/C][C]-1.786[/C][/ROW]
[ROW][C]75[/C][C] 139[/C][C] 151.3[/C][C]-12.25[/C][/ROW]
[ROW][C]76[/C][C] 162[/C][C] 159.4[/C][C] 2.563[/C][/ROW]
[ROW][C]77[/C][C] 108[/C][C] 106.8[/C][C] 1.161[/C][/ROW]
[ROW][C]78[/C][C] 159[/C][C] 149.7[/C][C] 9.311[/C][/ROW]
[ROW][C]79[/C][C] 74[/C][C] 101.9[/C][C]-27.95[/C][/ROW]
[ROW][C]80[/C][C] 110[/C][C] 145.9[/C][C]-35.91[/C][/ROW]
[ROW][C]81[/C][C] 96[/C][C] 112.5[/C][C]-16.47[/C][/ROW]
[ROW][C]82[/C][C] 116[/C][C] 108.7[/C][C] 7.289[/C][/ROW]
[ROW][C]83[/C][C] 87[/C][C] 106.4[/C][C]-19.36[/C][/ROW]
[ROW][C]84[/C][C] 97[/C][C] 95.81[/C][C] 1.193[/C][/ROW]
[ROW][C]85[/C][C] 127[/C][C] 104.8[/C][C] 22.25[/C][/ROW]
[ROW][C]86[/C][C] 106[/C][C] 105.4[/C][C] 0.5881[/C][/ROW]
[ROW][C]87[/C][C] 80[/C][C] 99.15[/C][C]-19.15[/C][/ROW]
[ROW][C]88[/C][C] 74[/C][C] 106.8[/C][C]-32.84[/C][/ROW]
[ROW][C]89[/C][C] 91[/C][C] 110.9[/C][C]-19.92[/C][/ROW]
[ROW][C]90[/C][C] 133[/C][C] 104.4[/C][C] 28.56[/C][/ROW]
[ROW][C]91[/C][C] 74[/C][C] 101.3[/C][C]-27.29[/C][/ROW]
[ROW][C]92[/C][C] 114[/C][C] 93.68[/C][C] 20.32[/C][/ROW]
[ROW][C]93[/C][C] 140[/C][C] 100.7[/C][C] 39.28[/C][/ROW]
[ROW][C]94[/C][C] 95[/C][C] 104.7[/C][C]-9.731[/C][/ROW]
[ROW][C]95[/C][C] 98[/C][C] 98.94[/C][C]-0.9424[/C][/ROW]
[ROW][C]96[/C][C] 121[/C][C] 111.4[/C][C] 9.605[/C][/ROW]
[ROW][C]97[/C][C] 126[/C][C] 107.8[/C][C] 18.17[/C][/ROW]
[ROW][C]98[/C][C] 98[/C][C] 102.9[/C][C]-4.938[/C][/ROW]
[ROW][C]99[/C][C] 95[/C][C] 102.6[/C][C]-7.562[/C][/ROW]
[ROW][C]100[/C][C] 110[/C][C] 97.16[/C][C] 12.84[/C][/ROW]
[ROW][C]101[/C][C] 70[/C][C] 100.5[/C][C]-30.49[/C][/ROW]
[ROW][C]102[/C][C] 102[/C][C] 105.6[/C][C]-3.639[/C][/ROW]
[ROW][C]103[/C][C] 86[/C][C] 103.9[/C][C]-17.9[/C][/ROW]
[ROW][C]104[/C][C] 130[/C][C] 99.59[/C][C] 30.41[/C][/ROW]
[ROW][C]105[/C][C] 96[/C][C] 101.7[/C][C]-5.727[/C][/ROW]
[ROW][C]106[/C][C] 102[/C][C] 111.3[/C][C]-9.332[/C][/ROW]
[ROW][C]107[/C][C] 100[/C][C] 105.5[/C][C]-5.541[/C][/ROW]
[ROW][C]108[/C][C] 94[/C][C] 108.8[/C][C]-14.8[/C][/ROW]
[ROW][C]109[/C][C] 52[/C][C] 107.8[/C][C]-55.83[/C][/ROW]
[ROW][C]110[/C][C] 98[/C][C] 105.5[/C][C]-7.45[/C][/ROW]
[ROW][C]111[/C][C] 118[/C][C] 110.5[/C][C] 7.463[/C][/ROW]
[ROW][C]112[/C][C] 99[/C][C] 95.58[/C][C] 3.415[/C][/ROW]
[ROW][C]113[/C][C] 48[/C][C] 126[/C][C]-77.99[/C][/ROW]
[ROW][C]114[/C][C] 50[/C][C] 120.9[/C][C]-70.92[/C][/ROW]
[ROW][C]115[/C][C] 150[/C][C] 125[/C][C] 25.01[/C][/ROW]
[ROW][C]116[/C][C] 154[/C][C] 124.8[/C][C] 29.24[/C][/ROW]
[ROW][C]117[/C][C] 109[/C][C] 98.73[/C][C] 10.27[/C][/ROW]
[ROW][C]118[/C][C] 68[/C][C] 81.37[/C][C]-13.37[/C][/ROW]
[ROW][C]119[/C][C] 194[/C][C] 133.6[/C][C] 60.45[/C][/ROW]
[ROW][C]120[/C][C] 158[/C][C] 130.2[/C][C] 27.8[/C][/ROW]
[ROW][C]121[/C][C] 159[/C][C] 130.2[/C][C] 28.78[/C][/ROW]
[ROW][C]122[/C][C] 67[/C][C] 132.8[/C][C]-65.83[/C][/ROW]
[ROW][C]123[/C][C] 147[/C][C] 128.5[/C][C] 18.46[/C][/ROW]
[ROW][C]124[/C][C] 39[/C][C] 128.5[/C][C]-89.5[/C][/ROW]
[ROW][C]125[/C][C] 100[/C][C] 119.6[/C][C]-19.62[/C][/ROW]
[ROW][C]126[/C][C] 111[/C][C] 122.2[/C][C]-11.25[/C][/ROW]
[ROW][C]127[/C][C] 138[/C][C] 128.2[/C][C] 9.828[/C][/ROW]
[ROW][C]128[/C][C] 101[/C][C] 121.8[/C][C]-20.78[/C][/ROW]
[ROW][C]129[/C][C] 131[/C][C] 90.33[/C][C] 40.67[/C][/ROW]
[ROW][C]130[/C][C] 101[/C][C] 129.6[/C][C]-28.59[/C][/ROW]
[ROW][C]131[/C][C] 114[/C][C] 124.7[/C][C]-10.68[/C][/ROW]
[ROW][C]132[/C][C] 165[/C][C] 139[/C][C] 26.04[/C][/ROW]
[ROW][C]133[/C][C] 114[/C][C] 123.8[/C][C]-9.826[/C][/ROW]
[ROW][C]134[/C][C] 111[/C][C] 118.4[/C][C]-7.377[/C][/ROW]
[ROW][C]135[/C][C] 75[/C][C] 125.7[/C][C]-50.72[/C][/ROW]
[ROW][C]136[/C][C] 82[/C][C] 122.8[/C][C]-40.82[/C][/ROW]
[ROW][C]137[/C][C] 121[/C][C] 122.7[/C][C]-1.701[/C][/ROW]
[ROW][C]138[/C][C] 32[/C][C] 131.8[/C][C]-99.8[/C][/ROW]
[ROW][C]139[/C][C] 150[/C][C] 135.9[/C][C] 14.14[/C][/ROW]
[ROW][C]140[/C][C] 117[/C][C] 128.4[/C][C]-11.37[/C][/ROW]
[ROW][C]141[/C][C] 71[/C][C] 82.59[/C][C]-11.59[/C][/ROW]
[ROW][C]142[/C][C] 165[/C][C] 121.1[/C][C] 43.86[/C][/ROW]
[ROW][C]143[/C][C] 154[/C][C] 121.9[/C][C] 32.06[/C][/ROW]
[ROW][C]144[/C][C] 126[/C][C] 124.8[/C][C] 1.175[/C][/ROW]
[ROW][C]145[/C][C] 149[/C][C] 133.4[/C][C] 15.59[/C][/ROW]
[ROW][C]146[/C][C] 145[/C][C] 139.7[/C][C] 5.307[/C][/ROW]
[ROW][C]147[/C][C] 120[/C][C] 119.7[/C][C] 0.3095[/C][/ROW]
[ROW][C]148[/C][C] 109[/C][C] 134.6[/C][C]-25.62[/C][/ROW]
[ROW][C]149[/C][C] 132[/C][C] 131.1[/C][C] 0.8553[/C][/ROW]
[ROW][C]150[/C][C] 172[/C][C] 126.2[/C][C] 45.83[/C][/ROW]
[ROW][C]151[/C][C] 169[/C][C] 134.4[/C][C] 34.61[/C][/ROW]
[ROW][C]152[/C][C] 114[/C][C] 136.3[/C][C]-22.3[/C][/ROW]
[ROW][C]153[/C][C] 156[/C][C] 130.3[/C][C] 25.73[/C][/ROW]
[ROW][C]154[/C][C] 172[/C][C] 133.7[/C][C] 38.26[/C][/ROW]
[ROW][C]155[/C][C] 68[/C][C] 88.42[/C][C]-20.42[/C][/ROW]
[ROW][C]156[/C][C] 89[/C][C] 83.86[/C][C] 5.136[/C][/ROW]
[ROW][C]157[/C][C] 167[/C][C] 130.1[/C][C] 36.92[/C][/ROW]
[ROW][C]158[/C][C] 113[/C][C] 135.4[/C][C]-22.44[/C][/ROW]
[ROW][C]159[/C][C] 115[/C][C] 97.1[/C][C] 17.9[/C][/ROW]
[ROW][C]160[/C][C] 78[/C][C] 92.71[/C][C]-14.71[/C][/ROW]
[ROW][C]161[/C][C] 118[/C][C] 97.3[/C][C] 20.7[/C][/ROW]
[ROW][C]162[/C][C] 87[/C][C] 82.62[/C][C] 4.385[/C][/ROW]
[ROW][C]163[/C][C] 173[/C][C] 137.1[/C][C] 35.85[/C][/ROW]
[ROW][C]164[/C][C] 2[/C][C] 127[/C][C]-125[/C][/ROW]
[ROW][C]165[/C][C] 162[/C][C] 97.68[/C][C] 64.32[/C][/ROW]
[ROW][C]166[/C][C] 49[/C][C] 80.38[/C][C]-31.38[/C][/ROW]
[ROW][C]167[/C][C] 122[/C][C] 99.02[/C][C] 22.98[/C][/ROW]
[ROW][C]168[/C][C] 96[/C][C] 86.77[/C][C] 9.225[/C][/ROW]
[ROW][C]169[/C][C] 100[/C][C] 92.84[/C][C] 7.163[/C][/ROW]
[ROW][C]170[/C][C] 82[/C][C] 88.14[/C][C]-6.14[/C][/ROW]
[ROW][C]171[/C][C] 100[/C][C] 89.47[/C][C] 10.53[/C][/ROW]
[ROW][C]172[/C][C] 115[/C][C] 95.97[/C][C] 19.03[/C][/ROW]
[ROW][C]173[/C][C] 141[/C][C] 100.1[/C][C] 40.87[/C][/ROW]
[ROW][C]174[/C][C] 165[/C][C] 126.3[/C][C] 38.67[/C][/ROW]
[ROW][C]175[/C][C] 165[/C][C] 126.3[/C][C] 38.67[/C][/ROW]
[ROW][C]176[/C][C] 110[/C][C] 81[/C][C] 29[/C][/ROW]
[ROW][C]177[/C][C] 118[/C][C] 124.4[/C][C]-6.404[/C][/ROW]
[ROW][C]178[/C][C] 158[/C][C] 134.9[/C][C] 23.14[/C][/ROW]
[ROW][C]179[/C][C] 146[/C][C] 89.68[/C][C] 56.32[/C][/ROW]
[ROW][C]180[/C][C] 49[/C][C] 130.5[/C][C]-81.46[/C][/ROW]
[ROW][C]181[/C][C] 90[/C][C] 96.58[/C][C]-6.584[/C][/ROW]
[ROW][C]182[/C][C] 121[/C][C] 94.92[/C][C] 26.08[/C][/ROW]
[ROW][C]183[/C][C] 155[/C][C] 135.1[/C][C] 19.86[/C][/ROW]
[ROW][C]184[/C][C] 104[/C][C] 98.79[/C][C] 5.209[/C][/ROW]
[ROW][C]185[/C][C] 147[/C][C] 89.98[/C][C] 57.02[/C][/ROW]
[ROW][C]186[/C][C] 110[/C][C] 100.5[/C][C] 9.457[/C][/ROW]
[ROW][C]187[/C][C] 108[/C][C] 100.5[/C][C] 7.457[/C][/ROW]
[ROW][C]188[/C][C] 113[/C][C] 100.5[/C][C] 12.46[/C][/ROW]
[ROW][C]189[/C][C] 115[/C][C] 98.69[/C][C] 16.31[/C][/ROW]
[ROW][C]190[/C][C] 61[/C][C] 95.72[/C][C]-34.72[/C][/ROW]
[ROW][C]191[/C][C] 60[/C][C] 87.97[/C][C]-27.97[/C][/ROW]
[ROW][C]192[/C][C] 109[/C][C] 75.51[/C][C] 33.49[/C][/ROW]
[ROW][C]193[/C][C] 68[/C][C] 78.28[/C][C]-10.28[/C][/ROW]
[ROW][C]194[/C][C] 111[/C][C] 88.75[/C][C] 22.25[/C][/ROW]
[ROW][C]195[/C][C] 77[/C][C] 90.11[/C][C]-13.11[/C][/ROW]
[ROW][C]196[/C][C] 73[/C][C] 91.45[/C][C]-18.45[/C][/ROW]
[ROW][C]197[/C][C] 151[/C][C] 141.6[/C][C] 9.357[/C][/ROW]
[ROW][C]198[/C][C] 89[/C][C] 85.68[/C][C] 3.318[/C][/ROW]
[ROW][C]199[/C][C] 78[/C][C] 87.62[/C][C]-9.621[/C][/ROW]
[ROW][C]200[/C][C] 110[/C][C] 91.27[/C][C] 18.73[/C][/ROW]
[ROW][C]201[/C][C] 220[/C][C] 130.2[/C][C] 89.78[/C][/ROW]
[ROW][C]202[/C][C] 65[/C][C] 88.68[/C][C]-23.68[/C][/ROW]
[ROW][C]203[/C][C] 141[/C][C] 128[/C][C] 13.01[/C][/ROW]
[ROW][C]204[/C][C] 117[/C][C] 95.26[/C][C] 21.74[/C][/ROW]
[ROW][C]205[/C][C] 122[/C][C] 125.7[/C][C]-3.676[/C][/ROW]
[ROW][C]206[/C][C] 63[/C][C] 91.96[/C][C]-28.96[/C][/ROW]
[ROW][C]207[/C][C] 44[/C][C] 121[/C][C]-76.99[/C][/ROW]
[ROW][C]208[/C][C] 52[/C][C] 84.69[/C][C]-32.69[/C][/ROW]
[ROW][C]209[/C][C] 131[/C][C] 81.62[/C][C] 49.38[/C][/ROW]
[ROW][C]210[/C][C] 101[/C][C] 83.66[/C][C] 17.34[/C][/ROW]
[ROW][C]211[/C][C] 42[/C][C] 91.69[/C][C]-49.69[/C][/ROW]
[ROW][C]212[/C][C] 152[/C][C] 126.5[/C][C] 25.46[/C][/ROW]
[ROW][C]213[/C][C] 107[/C][C] 128.8[/C][C]-21.83[/C][/ROW]
[ROW][C]214[/C][C] 77[/C][C] 89.78[/C][C]-12.78[/C][/ROW]
[ROW][C]215[/C][C] 154[/C][C] 139.3[/C][C] 14.66[/C][/ROW]
[ROW][C]216[/C][C] 103[/C][C] 124.8[/C][C]-21.79[/C][/ROW]
[ROW][C]217[/C][C] 96[/C][C] 86.93[/C][C] 9.074[/C][/ROW]
[ROW][C]218[/C][C] 175[/C][C] 126.1[/C][C] 48.88[/C][/ROW]
[ROW][C]219[/C][C] 57[/C][C] 90.94[/C][C]-33.94[/C][/ROW]
[ROW][C]220[/C][C] 112[/C][C] 101.2[/C][C] 10.8[/C][/ROW]
[ROW][C]221[/C][C] 143[/C][C] 129.8[/C][C] 13.23[/C][/ROW]
[ROW][C]222[/C][C] 49[/C][C] 82.88[/C][C]-33.88[/C][/ROW]
[ROW][C]223[/C][C] 110[/C][C] 133.4[/C][C]-23.43[/C][/ROW]
[ROW][C]224[/C][C] 131[/C][C] 123.6[/C][C] 7.381[/C][/ROW]
[ROW][C]225[/C][C] 167[/C][C] 127.5[/C][C] 39.52[/C][/ROW]
[ROW][C]226[/C][C] 56[/C][C] 97.81[/C][C]-41.81[/C][/ROW]
[ROW][C]227[/C][C] 137[/C][C] 127.6[/C][C] 9.44[/C][/ROW]
[ROW][C]228[/C][C] 86[/C][C] 84.26[/C][C] 1.736[/C][/ROW]
[ROW][C]229[/C][C] 121[/C][C] 132.4[/C][C]-11.37[/C][/ROW]
[ROW][C]230[/C][C] 149[/C][C] 134.6[/C][C] 14.41[/C][/ROW]
[ROW][C]231[/C][C] 168[/C][C] 131.2[/C][C] 36.79[/C][/ROW]
[ROW][C]232[/C][C] 140[/C][C] 128.6[/C][C] 11.44[/C][/ROW]
[ROW][C]233[/C][C] 88[/C][C] 84.42[/C][C] 3.583[/C][/ROW]
[ROW][C]234[/C][C] 168[/C][C] 125.7[/C][C] 42.25[/C][/ROW]
[ROW][C]235[/C][C] 94[/C][C] 123.8[/C][C]-29.78[/C][/ROW]
[ROW][C]236[/C][C] 51[/C][C] 130.3[/C][C]-79.35[/C][/ROW]
[ROW][C]237[/C][C] 48[/C][C] 95.25[/C][C]-47.25[/C][/ROW]
[ROW][C]238[/C][C] 145[/C][C] 123[/C][C] 22[/C][/ROW]
[ROW][C]239[/C][C] 66[/C][C] 121.9[/C][C]-55.94[/C][/ROW]
[ROW][C]240[/C][C] 85[/C][C] 86.49[/C][C]-1.495[/C][/ROW]
[ROW][C]241[/C][C] 109[/C][C] 134[/C][C]-25.02[/C][/ROW]
[ROW][C]242[/C][C] 63[/C][C] 91.11[/C][C]-28.11[/C][/ROW]
[ROW][C]243[/C][C] 102[/C][C] 86.76[/C][C] 15.24[/C][/ROW]
[ROW][C]244[/C][C] 162[/C][C] 97.68[/C][C] 64.32[/C][/ROW]
[ROW][C]245[/C][C] 86[/C][C] 87.9[/C][C]-1.896[/C][/ROW]
[ROW][C]246[/C][C] 114[/C][C] 84.21[/C][C] 29.79[/C][/ROW]
[ROW][C]247[/C][C] 164[/C][C] 132.6[/C][C] 31.4[/C][/ROW]
[ROW][C]248[/C][C] 119[/C][C] 132.8[/C][C]-13.81[/C][/ROW]
[ROW][C]249[/C][C] 126[/C][C] 133.8[/C][C]-7.755[/C][/ROW]
[ROW][C]250[/C][C] 132[/C][C] 121.3[/C][C] 10.66[/C][/ROW]
[ROW][C]251[/C][C] 142[/C][C] 130[/C][C] 12.04[/C][/ROW]
[ROW][C]252[/C][C] 83[/C][C] 137.9[/C][C]-54.92[/C][/ROW]
[ROW][C]253[/C][C] 94[/C][C] 88.39[/C][C] 5.606[/C][/ROW]
[ROW][C]254[/C][C] 81[/C][C] 92.45[/C][C]-11.45[/C][/ROW]
[ROW][C]255[/C][C] 166[/C][C] 129.9[/C][C] 36.12[/C][/ROW]
[ROW][C]256[/C][C] 110[/C][C] 95.8[/C][C] 14.2[/C][/ROW]
[ROW][C]257[/C][C] 64[/C][C] 85.52[/C][C]-21.52[/C][/ROW]
[ROW][C]258[/C][C] 93[/C][C] 140.6[/C][C]-47.59[/C][/ROW]
[ROW][C]259[/C][C] 104[/C][C] 92.2[/C][C] 11.8[/C][/ROW]
[ROW][C]260[/C][C] 105[/C][C] 79.99[/C][C] 25.01[/C][/ROW]
[ROW][C]261[/C][C] 49[/C][C] 80.38[/C][C]-31.38[/C][/ROW]
[ROW][C]262[/C][C] 88[/C][C] 97.65[/C][C]-9.648[/C][/ROW]
[ROW][C]263[/C][C] 95[/C][C] 87.26[/C][C] 7.745[/C][/ROW]
[ROW][C]264[/C][C] 102[/C][C] 86.76[/C][C] 15.24[/C][/ROW]
[ROW][C]265[/C][C] 99[/C][C] 90.86[/C][C] 8.141[/C][/ROW]
[ROW][C]266[/C][C] 63[/C][C] 80.66[/C][C]-17.66[/C][/ROW]
[ROW][C]267[/C][C] 76[/C][C] 99.86[/C][C]-23.86[/C][/ROW]
[ROW][C]268[/C][C] 109[/C][C] 86.89[/C][C] 22.11[/C][/ROW]
[ROW][C]269[/C][C] 117[/C][C] 92.57[/C][C] 24.43[/C][/ROW]
[ROW][C]270[/C][C] 57[/C][C] 92.26[/C][C]-35.26[/C][/ROW]
[ROW][C]271[/C][C] 120[/C][C] 94.56[/C][C] 25.44[/C][/ROW]
[ROW][C]272[/C][C] 73[/C][C] 84.14[/C][C]-11.14[/C][/ROW]
[ROW][C]273[/C][C] 91[/C][C] 81.98[/C][C] 9.017[/C][/ROW]
[ROW][C]274[/C][C] 108[/C][C] 95.39[/C][C] 12.61[/C][/ROW]
[ROW][C]275[/C][C] 105[/C][C] 85.81[/C][C] 19.19[/C][/ROW]
[ROW][C]276[/C][C] 117[/C][C] 139.2[/C][C]-22.17[/C][/ROW]
[ROW][C]277[/C][C] 119[/C][C] 97.81[/C][C] 21.19[/C][/ROW]
[ROW][C]278[/C][C] 31[/C][C] 98.41[/C][C]-67.41[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280411&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280411&T=4

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	149	156.3	-7.347
2	139	142.8	-3.834
3	148	147.4	0.6011
4	158	147.8	10.17
5	128	147.4	-19.38
6	224	147	76.99
7	159	153.5	5.531
8	105	145.7	-40.66
9	159	151.1	7.892
10	167	149.7	17.29
11	165	152.3	12.68
12	159	139.4	19.65
13	119	141.9	-22.86
14	176	151.8	24.21
15	54	156.8	-102.8
16	91	113.1	-22.15
17	163	143.5	19.52
18	124	151.5	-27.51
19	137	104.2	32.82
20	121	144.6	-23.62
21	153	143.2	9.836
22	148	143.4	4.607
23	221	150.5	70.54
24	188	137.8	50.22
25	149	149.6	-0.6102
26	244	134.5	109.5
27	148	109.6	38.38
28	92	109.1	-17.13
29	150	140.1	9.891
30	153	144.1	8.935
31	94	144.6	-50.61
32	156	149.8	6.248
33	132	147.5	-15.46
34	161	143.6	17.4
35	105	144.2	-39.24
36	97	138.6	-41.63
37	151	145.3	5.69
38	131	99.6	31.4
39	166	145.4	20.6
40	157	152.5	4.546
41	111	143.8	-32.83
42	145	139.7	5.298
43	162	143.1	18.88
44	163	142	21.04
45	59	93.81	-34.81
46	187	154.7	32.33
47	109	140.5	-31.54
48	90	96.97	-6.965
49	105	156.2	-51.19
50	83	102.6	-19.62
51	116	99.67	16.33
52	42	96.32	-54.32
53	148	136.9	11.08
54	155	103.6	51.42
55	125	142.4	-17.44
56	116	144.8	-28.83
57	128	105	23.01
58	138	144.3	-6.313
59	49	102.8	-53.84
60	96	108.2	-12.25
61	164	150.8	13.19
62	162	153.6	8.396
63	99	141.8	-42.78
64	202	142.2	59.81
65	186	149.8	36.25
66	66	95.86	-29.86
67	183	144.6	38.38
68	214	138	76.01
69	188	142	45.97
70	104	105.2	-1.176
71	177	155.6	21.41
72	126	152.7	-26.72
73	76	112.3	-36.28
74	99	100.8	-1.786
75	139	151.3	-12.25
76	162	159.4	2.563
77	108	106.8	1.161
78	159	149.7	9.311
79	74	101.9	-27.95
80	110	145.9	-35.91
81	96	112.5	-16.47
82	116	108.7	7.289
83	87	106.4	-19.36
84	97	95.81	1.193
85	127	104.8	22.25
86	106	105.4	0.5881
87	80	99.15	-19.15
88	74	106.8	-32.84
89	91	110.9	-19.92
90	133	104.4	28.56
91	74	101.3	-27.29
92	114	93.68	20.32
93	140	100.7	39.28
94	95	104.7	-9.731
95	98	98.94	-0.9424
96	121	111.4	9.605
97	126	107.8	18.17
98	98	102.9	-4.938
99	95	102.6	-7.562
100	110	97.16	12.84
101	70	100.5	-30.49
102	102	105.6	-3.639
103	86	103.9	-17.9
104	130	99.59	30.41
105	96	101.7	-5.727
106	102	111.3	-9.332
107	100	105.5	-5.541
108	94	108.8	-14.8
109	52	107.8	-55.83
110	98	105.5	-7.45
111	118	110.5	7.463
112	99	95.58	3.415
113	48	126	-77.99
114	50	120.9	-70.92
115	150	125	25.01
116	154	124.8	29.24
117	109	98.73	10.27
118	68	81.37	-13.37
119	194	133.6	60.45
120	158	130.2	27.8
121	159	130.2	28.78
122	67	132.8	-65.83
123	147	128.5	18.46
124	39	128.5	-89.5
125	100	119.6	-19.62
126	111	122.2	-11.25
127	138	128.2	9.828
128	101	121.8	-20.78
129	131	90.33	40.67
130	101	129.6	-28.59
131	114	124.7	-10.68
132	165	139	26.04
133	114	123.8	-9.826
134	111	118.4	-7.377
135	75	125.7	-50.72
136	82	122.8	-40.82
137	121	122.7	-1.701
138	32	131.8	-99.8
139	150	135.9	14.14
140	117	128.4	-11.37
141	71	82.59	-11.59
142	165	121.1	43.86
143	154	121.9	32.06
144	126	124.8	1.175
145	149	133.4	15.59
146	145	139.7	5.307
147	120	119.7	0.3095
148	109	134.6	-25.62
149	132	131.1	0.8553
150	172	126.2	45.83
151	169	134.4	34.61
152	114	136.3	-22.3
153	156	130.3	25.73
154	172	133.7	38.26
155	68	88.42	-20.42
156	89	83.86	5.136
157	167	130.1	36.92
158	113	135.4	-22.44
159	115	97.1	17.9
160	78	92.71	-14.71
161	118	97.3	20.7
162	87	82.62	4.385
163	173	137.1	35.85
164	2	127	-125
165	162	97.68	64.32
166	49	80.38	-31.38
167	122	99.02	22.98
168	96	86.77	9.225
169	100	92.84	7.163
170	82	88.14	-6.14
171	100	89.47	10.53
172	115	95.97	19.03
173	141	100.1	40.87
174	165	126.3	38.67
175	165	126.3	38.67
176	110	81	29
177	118	124.4	-6.404
178	158	134.9	23.14
179	146	89.68	56.32
180	49	130.5	-81.46
181	90	96.58	-6.584
182	121	94.92	26.08
183	155	135.1	19.86
184	104	98.79	5.209
185	147	89.98	57.02
186	110	100.5	9.457
187	108	100.5	7.457
188	113	100.5	12.46
189	115	98.69	16.31
190	61	95.72	-34.72
191	60	87.97	-27.97
192	109	75.51	33.49
193	68	78.28	-10.28
194	111	88.75	22.25
195	77	90.11	-13.11
196	73	91.45	-18.45
197	151	141.6	9.357
198	89	85.68	3.318
199	78	87.62	-9.621
200	110	91.27	18.73
201	220	130.2	89.78
202	65	88.68	-23.68
203	141	128	13.01
204	117	95.26	21.74
205	122	125.7	-3.676
206	63	91.96	-28.96
207	44	121	-76.99
208	52	84.69	-32.69
209	131	81.62	49.38
210	101	83.66	17.34
211	42	91.69	-49.69
212	152	126.5	25.46
213	107	128.8	-21.83
214	77	89.78	-12.78
215	154	139.3	14.66
216	103	124.8	-21.79
217	96	86.93	9.074
218	175	126.1	48.88
219	57	90.94	-33.94
220	112	101.2	10.8
221	143	129.8	13.23
222	49	82.88	-33.88
223	110	133.4	-23.43
224	131	123.6	7.381
225	167	127.5	39.52
226	56	97.81	-41.81
227	137	127.6	9.44
228	86	84.26	1.736
229	121	132.4	-11.37
230	149	134.6	14.41
231	168	131.2	36.79
232	140	128.6	11.44
233	88	84.42	3.583
234	168	125.7	42.25
235	94	123.8	-29.78
236	51	130.3	-79.35
237	48	95.25	-47.25
238	145	123	22
239	66	121.9	-55.94
240	85	86.49	-1.495
241	109	134	-25.02
242	63	91.11	-28.11
243	102	86.76	15.24
244	162	97.68	64.32
245	86	87.9	-1.896
246	114	84.21	29.79
247	164	132.6	31.4
248	119	132.8	-13.81
249	126	133.8	-7.755
250	132	121.3	10.66
251	142	130	12.04
252	83	137.9	-54.92
253	94	88.39	5.606
254	81	92.45	-11.45
255	166	129.9	36.12
256	110	95.8	14.2
257	64	85.52	-21.52
258	93	140.6	-47.59
259	104	92.2	11.8
260	105	79.99	25.01
261	49	80.38	-31.38
262	88	97.65	-9.648
263	95	87.26	7.745
264	102	86.76	15.24
265	99	90.86	8.141
266	63	80.66	-17.66
267	76	99.86	-23.86
268	109	86.89	22.11
269	117	92.57	24.43
270	57	92.26	-35.26
271	120	94.56	25.44
272	73	84.14	-11.14
273	91	81.98	9.017
274	108	95.39	12.61
275	105	85.81	19.19
276	117	139.2	-22.17
277	119	97.81	21.19
278	31	98.41	-67.41

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
13	0.1908	0.3816	0.8092
14	0.08715	0.1743	0.9129
15	0.9514	0.09728	0.04864
16	0.9158	0.1685	0.08423
17	0.8781	0.2437	0.1219
18	0.8377	0.3247	0.1623
19	0.8316	0.3368	0.1684
20	0.8056	0.3888	0.1944
21	0.797	0.4061	0.203
22	0.7337	0.5326	0.2663
23	0.9035	0.193	0.09649
24	0.8848	0.2304	0.1152
25	0.864	0.272	0.136
26	0.8654	0.2692	0.1346
27	0.8787	0.2425	0.1213
28	0.8539	0.2922	0.1461
29	0.8268	0.3465	0.1732
30	0.7826	0.4348	0.2174
31	0.9108	0.1785	0.08925
32	0.9041	0.1918	0.09589
33	0.885	0.2301	0.115
34	0.8567	0.2867	0.1433
35	0.8903	0.2193	0.1097
36	0.8975	0.205	0.1025
37	0.8738	0.2524	0.1262
38	0.8474	0.3051	0.1526
39	0.8289	0.3422	0.1711
40	0.8258	0.3484	0.1742
41	0.8222	0.3557	0.1778
42	0.7866	0.4269	0.2134
43	0.7523	0.4953	0.2477
44	0.7277	0.5446	0.2723
45	0.8003	0.3993	0.1997
46	0.8453	0.3094	0.1547
47	0.8853	0.2295	0.1147
48	0.8661	0.2679	0.1339
49	0.8964	0.2072	0.1036
50	0.879	0.242	0.121
51	0.8591	0.2817	0.1409
52	0.9057	0.1887	0.09433
53	0.8855	0.2291	0.1145
54	0.908	0.1839	0.09197
55	0.9005	0.199	0.09948
56	0.891	0.218	0.109
57	0.8884	0.2233	0.1116
58	0.8731	0.2537	0.1269
59	0.9001	0.1998	0.09988
60	0.8811	0.2378	0.1189
61	0.8623	0.2754	0.1377
62	0.8422	0.3157	0.1578
63	0.8398	0.3204	0.1602
64	0.873	0.2539	0.127
65	0.8789	0.2421	0.1211
66	0.872	0.2559	0.128
67	0.8839	0.2323	0.1161
68	0.9306	0.1387	0.06935
69	0.9435	0.113	0.05652
70	0.9324	0.1353	0.06763
71	0.9288	0.1424	0.07119
72	0.9205	0.159	0.07949
73	0.9137	0.1726	0.08631
74	0.8969	0.2063	0.1031
75	0.8799	0.2402	0.1201
76	0.8596	0.2808	0.1404
77	0.837	0.326	0.163
78	0.8157	0.3687	0.1843
79	0.7966	0.4069	0.2034
80	0.8002	0.3996	0.1998
81	0.7739	0.4522	0.2261
82	0.7497	0.5005	0.2503
83	0.7216	0.5569	0.2784
84	0.6885	0.6231	0.3115
85	0.6884	0.6233	0.3116
86	0.6542	0.6916	0.3458
87	0.634	0.732	0.366
88	0.6155	0.769	0.3845
89	0.5838	0.8324	0.4162
90	0.5931	0.8137	0.4069
91	0.573	0.854	0.427
92	0.5505	0.8989	0.4495
93	0.5627	0.8747	0.4373
94	0.5267	0.9466	0.4733
95	0.4918	0.9837	0.5082
96	0.4621	0.9242	0.5379
97	0.4422	0.8844	0.5578
98	0.4057	0.8113	0.5943
99	0.3706	0.7413	0.6294
100	0.3447	0.6893	0.6553
101	0.3356	0.6712	0.6644
102	0.3045	0.609	0.6955
103	0.2859	0.5718	0.7141
104	0.2856	0.5713	0.7144
105	0.2611	0.5223	0.7389
106	0.2322	0.4644	0.7678
107	0.2056	0.4112	0.7944
108	0.1812	0.3625	0.8188
109	0.2095	0.4191	0.7905
110	0.1851	0.3702	0.8149
111	0.1677	0.3353	0.8323
112	0.1458	0.2916	0.8542
113	0.1635	0.327	0.8365
114	0.1831	0.3662	0.8169
115	0.267	0.5339	0.733
116	0.3175	0.6351	0.6825
117	0.3388	0.6776	0.6612
118	0.3075	0.6151	0.6925
119	0.3989	0.7977	0.6011
120	0.3998	0.7996	0.6002
121	0.3896	0.7792	0.6104
122	0.487	0.974	0.513
123	0.465	0.93	0.535
124	0.6672	0.6656	0.3328
125	0.6418	0.7165	0.3582
126	0.6095	0.781	0.3905
127	0.5832	0.8336	0.4168
128	0.5562	0.8877	0.4438
129	0.5923	0.8153	0.4077
130	0.5765	0.847	0.4235
131	0.5441	0.9118	0.4559
132	0.5399	0.9201	0.4601
133	0.506	0.988	0.494
134	0.4736	0.9472	0.5264
135	0.5084	0.9833	0.4916
136	0.5177	0.9646	0.4823
137	0.4852	0.9705	0.5148
138	0.7186	0.5628	0.2814
139	0.7011	0.5979	0.2989
140	0.672	0.656	0.328
141	0.6459	0.7083	0.3541
142	0.6771	0.6459	0.3229
143	0.6814	0.6372	0.3186
144	0.65	0.7	0.35
145	0.6294	0.7412	0.3706
146	0.5998	0.8004	0.4002
147	0.5658	0.8685	0.4342
148	0.5495	0.9011	0.4505
149	0.5166	0.9667	0.4834
150	0.5517	0.8966	0.4483
151	0.562	0.876	0.438
152	0.5389	0.9221	0.4611
153	0.5302	0.9395	0.4698
154	0.5502	0.8995	0.4498
155	0.5266	0.9468	0.4734
156	0.4948	0.9895	0.5052
157	0.5064	0.9873	0.4936
158	0.4866	0.9732	0.5134
159	0.4666	0.9333	0.5334
160	0.4493	0.8986	0.5507
161	0.4304	0.8608	0.5696
162	0.3966	0.7933	0.6034
163	0.4	0.8	0.6
164	0.8329	0.3343	0.1671
165	0.8788	0.2423	0.1212
166	0.8795	0.2409	0.1205
167	0.8698	0.2603	0.1302
168	0.8518	0.2965	0.1482
169	0.8305	0.3391	0.1695
170	0.8108	0.3784	0.1892
171	0.7871	0.4258	0.2129
172	0.7706	0.4587	0.2294
173	0.7831	0.4339	0.2169
174	0.7873	0.4255	0.2127
175	0.7931	0.4139	0.2069
176	0.7909	0.4182	0.2091
177	0.7639	0.4722	0.2361
178	0.7604	0.4792	0.2396
179	0.8267	0.3466	0.1733
180	0.9318	0.1363	0.06817
181	0.9191	0.1618	0.0809
182	0.9166	0.1668	0.08338
183	0.9045	0.1911	0.09554
184	0.8917	0.2166	0.1083
185	0.9368	0.1264	0.06321
186	0.9269	0.1462	0.07308
187	0.9157	0.1687	0.08433
188	0.9063	0.1873	0.09365
189	0.8959	0.2081	0.1041
190	0.8884	0.2232	0.1116
191	0.8821	0.2357	0.1179
192	0.8732	0.2536	0.1268
193	0.8553	0.2894	0.1447
194	0.845	0.31	0.155
195	0.8379	0.3242	0.1621
196	0.82	0.3599	0.18
197	0.7946	0.4109	0.2054
198	0.765	0.47	0.235
199	0.7362	0.5276	0.2638
200	0.7088	0.5824	0.2912
201	0.9264	0.1472	0.07362
202	0.9181	0.1638	0.08191
203	0.9025	0.1951	0.09754
204	0.9004	0.1992	0.09961
205	0.8813	0.2373	0.1187
206	0.8761	0.2478	0.1239
207	0.9363	0.1275	0.06373
208	0.938	0.1239	0.06196
209	0.9433	0.1135	0.05673
210	0.9313	0.1374	0.06872
211	0.9404	0.1192	0.0596
212	0.9382	0.1237	0.06183
213	0.9272	0.1456	0.0728
214	0.9115	0.177	0.08852
215	0.9007	0.1985	0.09926
216	0.8832	0.2336	0.1168
217	0.8607	0.2786	0.1393
218	0.9067	0.1865	0.09325
219	0.8953	0.2093	0.1047
220	0.8776	0.2449	0.1224
221	0.8551	0.2897	0.1449
222	0.9227	0.1546	0.07731
223	0.9118	0.1764	0.0882
224	0.9046	0.1907	0.09535
225	0.8894	0.2211	0.1106
226	0.8989	0.2023	0.1011
227	0.8774	0.2452	0.1226
228	0.8514	0.2973	0.1486
229	0.8231	0.3537	0.1769
230	0.7951	0.4099	0.2049
231	0.8732	0.2536	0.1268
232	0.852	0.2959	0.148
233	0.8197	0.3607	0.1803
234	0.8718	0.2564	0.1282
235	0.8467	0.3065	0.1533
236	0.9121	0.1759	0.08794
237	0.9428	0.1143	0.05717
238	0.9353	0.1293	0.06467
239	0.9441	0.1118	0.05591
240	0.9265	0.147	0.0735
241	0.9191	0.1617	0.08087
242	0.9189	0.1621	0.08105
243	0.8972	0.2057	0.1028
244	0.9764	0.04714	0.02357
245	0.9727	0.0546	0.0273
246	0.9619	0.07611	0.03805
247	0.9588	0.08243	0.04122
248	0.9408	0.1184	0.05919
249	0.9181	0.1637	0.08185
250	0.887	0.226	0.113
251	0.8505	0.299	0.1495
252	0.8511	0.2978	0.1489
253	0.8034	0.3933	0.1966
254	0.7488	0.5023	0.2512
255	0.9089	0.1823	0.09115
256	0.8668	0.2665	0.1332
257	0.8289	0.3422	0.1711
258	0.7648	0.4704	0.2352
259	0.6803	0.6394	0.3197
260	0.5892	0.8215	0.4108
261	0.5787	0.8427	0.4213
262	0.5028	0.9943	0.4972
263	0.5381	0.9238	0.4619
264	0.3959	0.7918	0.6041
265	0.2533	0.5067	0.7467

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
13 &  0.1908 &  0.3816 &  0.8092 \tabularnewline
14 &  0.08715 &  0.1743 &  0.9129 \tabularnewline
15 &  0.9514 &  0.09728 &  0.04864 \tabularnewline
16 &  0.9158 &  0.1685 &  0.08423 \tabularnewline
17 &  0.8781 &  0.2437 &  0.1219 \tabularnewline
18 &  0.8377 &  0.3247 &  0.1623 \tabularnewline
19 &  0.8316 &  0.3368 &  0.1684 \tabularnewline
20 &  0.8056 &  0.3888 &  0.1944 \tabularnewline
21 &  0.797 &  0.4061 &  0.203 \tabularnewline
22 &  0.7337 &  0.5326 &  0.2663 \tabularnewline
23 &  0.9035 &  0.193 &  0.09649 \tabularnewline
24 &  0.8848 &  0.2304 &  0.1152 \tabularnewline
25 &  0.864 &  0.272 &  0.136 \tabularnewline
26 &  0.8654 &  0.2692 &  0.1346 \tabularnewline
27 &  0.8787 &  0.2425 &  0.1213 \tabularnewline
28 &  0.8539 &  0.2922 &  0.1461 \tabularnewline
29 &  0.8268 &  0.3465 &  0.1732 \tabularnewline
30 &  0.7826 &  0.4348 &  0.2174 \tabularnewline
31 &  0.9108 &  0.1785 &  0.08925 \tabularnewline
32 &  0.9041 &  0.1918 &  0.09589 \tabularnewline
33 &  0.885 &  0.2301 &  0.115 \tabularnewline
34 &  0.8567 &  0.2867 &  0.1433 \tabularnewline
35 &  0.8903 &  0.2193 &  0.1097 \tabularnewline
36 &  0.8975 &  0.205 &  0.1025 \tabularnewline
37 &  0.8738 &  0.2524 &  0.1262 \tabularnewline
38 &  0.8474 &  0.3051 &  0.1526 \tabularnewline
39 &  0.8289 &  0.3422 &  0.1711 \tabularnewline
40 &  0.8258 &  0.3484 &  0.1742 \tabularnewline
41 &  0.8222 &  0.3557 &  0.1778 \tabularnewline
42 &  0.7866 &  0.4269 &  0.2134 \tabularnewline
43 &  0.7523 &  0.4953 &  0.2477 \tabularnewline
44 &  0.7277 &  0.5446 &  0.2723 \tabularnewline
45 &  0.8003 &  0.3993 &  0.1997 \tabularnewline
46 &  0.8453 &  0.3094 &  0.1547 \tabularnewline
47 &  0.8853 &  0.2295 &  0.1147 \tabularnewline
48 &  0.8661 &  0.2679 &  0.1339 \tabularnewline
49 &  0.8964 &  0.2072 &  0.1036 \tabularnewline
50 &  0.879 &  0.242 &  0.121 \tabularnewline
51 &  0.8591 &  0.2817 &  0.1409 \tabularnewline
52 &  0.9057 &  0.1887 &  0.09433 \tabularnewline
53 &  0.8855 &  0.2291 &  0.1145 \tabularnewline
54 &  0.908 &  0.1839 &  0.09197 \tabularnewline
55 &  0.9005 &  0.199 &  0.09948 \tabularnewline
56 &  0.891 &  0.218 &  0.109 \tabularnewline
57 &  0.8884 &  0.2233 &  0.1116 \tabularnewline
58 &  0.8731 &  0.2537 &  0.1269 \tabularnewline
59 &  0.9001 &  0.1998 &  0.09988 \tabularnewline
60 &  0.8811 &  0.2378 &  0.1189 \tabularnewline
61 &  0.8623 &  0.2754 &  0.1377 \tabularnewline
62 &  0.8422 &  0.3157 &  0.1578 \tabularnewline
63 &  0.8398 &  0.3204 &  0.1602 \tabularnewline
64 &  0.873 &  0.2539 &  0.127 \tabularnewline
65 &  0.8789 &  0.2421 &  0.1211 \tabularnewline
66 &  0.872 &  0.2559 &  0.128 \tabularnewline
67 &  0.8839 &  0.2323 &  0.1161 \tabularnewline
68 &  0.9306 &  0.1387 &  0.06935 \tabularnewline
69 &  0.9435 &  0.113 &  0.05652 \tabularnewline
70 &  0.9324 &  0.1353 &  0.06763 \tabularnewline
71 &  0.9288 &  0.1424 &  0.07119 \tabularnewline
72 &  0.9205 &  0.159 &  0.07949 \tabularnewline
73 &  0.9137 &  0.1726 &  0.08631 \tabularnewline
74 &  0.8969 &  0.2063 &  0.1031 \tabularnewline
75 &  0.8799 &  0.2402 &  0.1201 \tabularnewline
76 &  0.8596 &  0.2808 &  0.1404 \tabularnewline
77 &  0.837 &  0.326 &  0.163 \tabularnewline
78 &  0.8157 &  0.3687 &  0.1843 \tabularnewline
79 &  0.7966 &  0.4069 &  0.2034 \tabularnewline
80 &  0.8002 &  0.3996 &  0.1998 \tabularnewline
81 &  0.7739 &  0.4522 &  0.2261 \tabularnewline
82 &  0.7497 &  0.5005 &  0.2503 \tabularnewline
83 &  0.7216 &  0.5569 &  0.2784 \tabularnewline
84 &  0.6885 &  0.6231 &  0.3115 \tabularnewline
85 &  0.6884 &  0.6233 &  0.3116 \tabularnewline
86 &  0.6542 &  0.6916 &  0.3458 \tabularnewline
87 &  0.634 &  0.732 &  0.366 \tabularnewline
88 &  0.6155 &  0.769 &  0.3845 \tabularnewline
89 &  0.5838 &  0.8324 &  0.4162 \tabularnewline
90 &  0.5931 &  0.8137 &  0.4069 \tabularnewline
91 &  0.573 &  0.854 &  0.427 \tabularnewline
92 &  0.5505 &  0.8989 &  0.4495 \tabularnewline
93 &  0.5627 &  0.8747 &  0.4373 \tabularnewline
94 &  0.5267 &  0.9466 &  0.4733 \tabularnewline
95 &  0.4918 &  0.9837 &  0.5082 \tabularnewline
96 &  0.4621 &  0.9242 &  0.5379 \tabularnewline
97 &  0.4422 &  0.8844 &  0.5578 \tabularnewline
98 &  0.4057 &  0.8113 &  0.5943 \tabularnewline
99 &  0.3706 &  0.7413 &  0.6294 \tabularnewline
100 &  0.3447 &  0.6893 &  0.6553 \tabularnewline
101 &  0.3356 &  0.6712 &  0.6644 \tabularnewline
102 &  0.3045 &  0.609 &  0.6955 \tabularnewline
103 &  0.2859 &  0.5718 &  0.7141 \tabularnewline
104 &  0.2856 &  0.5713 &  0.7144 \tabularnewline
105 &  0.2611 &  0.5223 &  0.7389 \tabularnewline
106 &  0.2322 &  0.4644 &  0.7678 \tabularnewline
107 &  0.2056 &  0.4112 &  0.7944 \tabularnewline
108 &  0.1812 &  0.3625 &  0.8188 \tabularnewline
109 &  0.2095 &  0.4191 &  0.7905 \tabularnewline
110 &  0.1851 &  0.3702 &  0.8149 \tabularnewline
111 &  0.1677 &  0.3353 &  0.8323 \tabularnewline
112 &  0.1458 &  0.2916 &  0.8542 \tabularnewline
113 &  0.1635 &  0.327 &  0.8365 \tabularnewline
114 &  0.1831 &  0.3662 &  0.8169 \tabularnewline
115 &  0.267 &  0.5339 &  0.733 \tabularnewline
116 &  0.3175 &  0.6351 &  0.6825 \tabularnewline
117 &  0.3388 &  0.6776 &  0.6612 \tabularnewline
118 &  0.3075 &  0.6151 &  0.6925 \tabularnewline
119 &  0.3989 &  0.7977 &  0.6011 \tabularnewline
120 &  0.3998 &  0.7996 &  0.6002 \tabularnewline
121 &  0.3896 &  0.7792 &  0.6104 \tabularnewline
122 &  0.487 &  0.974 &  0.513 \tabularnewline
123 &  0.465 &  0.93 &  0.535 \tabularnewline
124 &  0.6672 &  0.6656 &  0.3328 \tabularnewline
125 &  0.6418 &  0.7165 &  0.3582 \tabularnewline
126 &  0.6095 &  0.781 &  0.3905 \tabularnewline
127 &  0.5832 &  0.8336 &  0.4168 \tabularnewline
128 &  0.5562 &  0.8877 &  0.4438 \tabularnewline
129 &  0.5923 &  0.8153 &  0.4077 \tabularnewline
130 &  0.5765 &  0.847 &  0.4235 \tabularnewline
131 &  0.5441 &  0.9118 &  0.4559 \tabularnewline
132 &  0.5399 &  0.9201 &  0.4601 \tabularnewline
133 &  0.506 &  0.988 &  0.494 \tabularnewline
134 &  0.4736 &  0.9472 &  0.5264 \tabularnewline
135 &  0.5084 &  0.9833 &  0.4916 \tabularnewline
136 &  0.5177 &  0.9646 &  0.4823 \tabularnewline
137 &  0.4852 &  0.9705 &  0.5148 \tabularnewline
138 &  0.7186 &  0.5628 &  0.2814 \tabularnewline
139 &  0.7011 &  0.5979 &  0.2989 \tabularnewline
140 &  0.672 &  0.656 &  0.328 \tabularnewline
141 &  0.6459 &  0.7083 &  0.3541 \tabularnewline
142 &  0.6771 &  0.6459 &  0.3229 \tabularnewline
143 &  0.6814 &  0.6372 &  0.3186 \tabularnewline
144 &  0.65 &  0.7 &  0.35 \tabularnewline
145 &  0.6294 &  0.7412 &  0.3706 \tabularnewline
146 &  0.5998 &  0.8004 &  0.4002 \tabularnewline
147 &  0.5658 &  0.8685 &  0.4342 \tabularnewline
148 &  0.5495 &  0.9011 &  0.4505 \tabularnewline
149 &  0.5166 &  0.9667 &  0.4834 \tabularnewline
150 &  0.5517 &  0.8966 &  0.4483 \tabularnewline
151 &  0.562 &  0.876 &  0.438 \tabularnewline
152 &  0.5389 &  0.9221 &  0.4611 \tabularnewline
153 &  0.5302 &  0.9395 &  0.4698 \tabularnewline
154 &  0.5502 &  0.8995 &  0.4498 \tabularnewline
155 &  0.5266 &  0.9468 &  0.4734 \tabularnewline
156 &  0.4948 &  0.9895 &  0.5052 \tabularnewline
157 &  0.5064 &  0.9873 &  0.4936 \tabularnewline
158 &  0.4866 &  0.9732 &  0.5134 \tabularnewline
159 &  0.4666 &  0.9333 &  0.5334 \tabularnewline
160 &  0.4493 &  0.8986 &  0.5507 \tabularnewline
161 &  0.4304 &  0.8608 &  0.5696 \tabularnewline
162 &  0.3966 &  0.7933 &  0.6034 \tabularnewline
163 &  0.4 &  0.8 &  0.6 \tabularnewline
164 &  0.8329 &  0.3343 &  0.1671 \tabularnewline
165 &  0.8788 &  0.2423 &  0.1212 \tabularnewline
166 &  0.8795 &  0.2409 &  0.1205 \tabularnewline
167 &  0.8698 &  0.2603 &  0.1302 \tabularnewline
168 &  0.8518 &  0.2965 &  0.1482 \tabularnewline
169 &  0.8305 &  0.3391 &  0.1695 \tabularnewline
170 &  0.8108 &  0.3784 &  0.1892 \tabularnewline
171 &  0.7871 &  0.4258 &  0.2129 \tabularnewline
172 &  0.7706 &  0.4587 &  0.2294 \tabularnewline
173 &  0.7831 &  0.4339 &  0.2169 \tabularnewline
174 &  0.7873 &  0.4255 &  0.2127 \tabularnewline
175 &  0.7931 &  0.4139 &  0.2069 \tabularnewline
176 &  0.7909 &  0.4182 &  0.2091 \tabularnewline
177 &  0.7639 &  0.4722 &  0.2361 \tabularnewline
178 &  0.7604 &  0.4792 &  0.2396 \tabularnewline
179 &  0.8267 &  0.3466 &  0.1733 \tabularnewline
180 &  0.9318 &  0.1363 &  0.06817 \tabularnewline
181 &  0.9191 &  0.1618 &  0.0809 \tabularnewline
182 &  0.9166 &  0.1668 &  0.08338 \tabularnewline
183 &  0.9045 &  0.1911 &  0.09554 \tabularnewline
184 &  0.8917 &  0.2166 &  0.1083 \tabularnewline
185 &  0.9368 &  0.1264 &  0.06321 \tabularnewline
186 &  0.9269 &  0.1462 &  0.07308 \tabularnewline
187 &  0.9157 &  0.1687 &  0.08433 \tabularnewline
188 &  0.9063 &  0.1873 &  0.09365 \tabularnewline
189 &  0.8959 &  0.2081 &  0.1041 \tabularnewline
190 &  0.8884 &  0.2232 &  0.1116 \tabularnewline
191 &  0.8821 &  0.2357 &  0.1179 \tabularnewline
192 &  0.8732 &  0.2536 &  0.1268 \tabularnewline
193 &  0.8553 &  0.2894 &  0.1447 \tabularnewline
194 &  0.845 &  0.31 &  0.155 \tabularnewline
195 &  0.8379 &  0.3242 &  0.1621 \tabularnewline
196 &  0.82 &  0.3599 &  0.18 \tabularnewline
197 &  0.7946 &  0.4109 &  0.2054 \tabularnewline
198 &  0.765 &  0.47 &  0.235 \tabularnewline
199 &  0.7362 &  0.5276 &  0.2638 \tabularnewline
200 &  0.7088 &  0.5824 &  0.2912 \tabularnewline
201 &  0.9264 &  0.1472 &  0.07362 \tabularnewline
202 &  0.9181 &  0.1638 &  0.08191 \tabularnewline
203 &  0.9025 &  0.1951 &  0.09754 \tabularnewline
204 &  0.9004 &  0.1992 &  0.09961 \tabularnewline
205 &  0.8813 &  0.2373 &  0.1187 \tabularnewline
206 &  0.8761 &  0.2478 &  0.1239 \tabularnewline
207 &  0.9363 &  0.1275 &  0.06373 \tabularnewline
208 &  0.938 &  0.1239 &  0.06196 \tabularnewline
209 &  0.9433 &  0.1135 &  0.05673 \tabularnewline
210 &  0.9313 &  0.1374 &  0.06872 \tabularnewline
211 &  0.9404 &  0.1192 &  0.0596 \tabularnewline
212 &  0.9382 &  0.1237 &  0.06183 \tabularnewline
213 &  0.9272 &  0.1456 &  0.0728 \tabularnewline
214 &  0.9115 &  0.177 &  0.08852 \tabularnewline
215 &  0.9007 &  0.1985 &  0.09926 \tabularnewline
216 &  0.8832 &  0.2336 &  0.1168 \tabularnewline
217 &  0.8607 &  0.2786 &  0.1393 \tabularnewline
218 &  0.9067 &  0.1865 &  0.09325 \tabularnewline
219 &  0.8953 &  0.2093 &  0.1047 \tabularnewline
220 &  0.8776 &  0.2449 &  0.1224 \tabularnewline
221 &  0.8551 &  0.2897 &  0.1449 \tabularnewline
222 &  0.9227 &  0.1546 &  0.07731 \tabularnewline
223 &  0.9118 &  0.1764 &  0.0882 \tabularnewline
224 &  0.9046 &  0.1907 &  0.09535 \tabularnewline
225 &  0.8894 &  0.2211 &  0.1106 \tabularnewline
226 &  0.8989 &  0.2023 &  0.1011 \tabularnewline
227 &  0.8774 &  0.2452 &  0.1226 \tabularnewline
228 &  0.8514 &  0.2973 &  0.1486 \tabularnewline
229 &  0.8231 &  0.3537 &  0.1769 \tabularnewline
230 &  0.7951 &  0.4099 &  0.2049 \tabularnewline
231 &  0.8732 &  0.2536 &  0.1268 \tabularnewline
232 &  0.852 &  0.2959 &  0.148 \tabularnewline
233 &  0.8197 &  0.3607 &  0.1803 \tabularnewline
234 &  0.8718 &  0.2564 &  0.1282 \tabularnewline
235 &  0.8467 &  0.3065 &  0.1533 \tabularnewline
236 &  0.9121 &  0.1759 &  0.08794 \tabularnewline
237 &  0.9428 &  0.1143 &  0.05717 \tabularnewline
238 &  0.9353 &  0.1293 &  0.06467 \tabularnewline
239 &  0.9441 &  0.1118 &  0.05591 \tabularnewline
240 &  0.9265 &  0.147 &  0.0735 \tabularnewline
241 &  0.9191 &  0.1617 &  0.08087 \tabularnewline
242 &  0.9189 &  0.1621 &  0.08105 \tabularnewline
243 &  0.8972 &  0.2057 &  0.1028 \tabularnewline
244 &  0.9764 &  0.04714 &  0.02357 \tabularnewline
245 &  0.9727 &  0.0546 &  0.0273 \tabularnewline
246 &  0.9619 &  0.07611 &  0.03805 \tabularnewline
247 &  0.9588 &  0.08243 &  0.04122 \tabularnewline
248 &  0.9408 &  0.1184 &  0.05919 \tabularnewline
249 &  0.9181 &  0.1637 &  0.08185 \tabularnewline
250 &  0.887 &  0.226 &  0.113 \tabularnewline
251 &  0.8505 &  0.299 &  0.1495 \tabularnewline
252 &  0.8511 &  0.2978 &  0.1489 \tabularnewline
253 &  0.8034 &  0.3933 &  0.1966 \tabularnewline
254 &  0.7488 &  0.5023 &  0.2512 \tabularnewline
255 &  0.9089 &  0.1823 &  0.09115 \tabularnewline
256 &  0.8668 &  0.2665 &  0.1332 \tabularnewline
257 &  0.8289 &  0.3422 &  0.1711 \tabularnewline
258 &  0.7648 &  0.4704 &  0.2352 \tabularnewline
259 &  0.6803 &  0.6394 &  0.3197 \tabularnewline
260 &  0.5892 &  0.8215 &  0.4108 \tabularnewline
261 &  0.5787 &  0.8427 &  0.4213 \tabularnewline
262 &  0.5028 &  0.9943 &  0.4972 \tabularnewline
263 &  0.5381 &  0.9238 &  0.4619 \tabularnewline
264 &  0.3959 &  0.7918 &  0.6041 \tabularnewline
265 &  0.2533 &  0.5067 &  0.7467 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280411&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]13[/C][C] 0.1908[/C][C] 0.3816[/C][C] 0.8092[/C][/ROW]
[ROW][C]14[/C][C] 0.08715[/C][C] 0.1743[/C][C] 0.9129[/C][/ROW]
[ROW][C]15[/C][C] 0.9514[/C][C] 0.09728[/C][C] 0.04864[/C][/ROW]
[ROW][C]16[/C][C] 0.9158[/C][C] 0.1685[/C][C] 0.08423[/C][/ROW]
[ROW][C]17[/C][C] 0.8781[/C][C] 0.2437[/C][C] 0.1219[/C][/ROW]
[ROW][C]18[/C][C] 0.8377[/C][C] 0.3247[/C][C] 0.1623[/C][/ROW]
[ROW][C]19[/C][C] 0.8316[/C][C] 0.3368[/C][C] 0.1684[/C][/ROW]
[ROW][C]20[/C][C] 0.8056[/C][C] 0.3888[/C][C] 0.1944[/C][/ROW]
[ROW][C]21[/C][C] 0.797[/C][C] 0.4061[/C][C] 0.203[/C][/ROW]
[ROW][C]22[/C][C] 0.7337[/C][C] 0.5326[/C][C] 0.2663[/C][/ROW]
[ROW][C]23[/C][C] 0.9035[/C][C] 0.193[/C][C] 0.09649[/C][/ROW]
[ROW][C]24[/C][C] 0.8848[/C][C] 0.2304[/C][C] 0.1152[/C][/ROW]
[ROW][C]25[/C][C] 0.864[/C][C] 0.272[/C][C] 0.136[/C][/ROW]
[ROW][C]26[/C][C] 0.8654[/C][C] 0.2692[/C][C] 0.1346[/C][/ROW]
[ROW][C]27[/C][C] 0.8787[/C][C] 0.2425[/C][C] 0.1213[/C][/ROW]
[ROW][C]28[/C][C] 0.8539[/C][C] 0.2922[/C][C] 0.1461[/C][/ROW]
[ROW][C]29[/C][C] 0.8268[/C][C] 0.3465[/C][C] 0.1732[/C][/ROW]
[ROW][C]30[/C][C] 0.7826[/C][C] 0.4348[/C][C] 0.2174[/C][/ROW]
[ROW][C]31[/C][C] 0.9108[/C][C] 0.1785[/C][C] 0.08925[/C][/ROW]
[ROW][C]32[/C][C] 0.9041[/C][C] 0.1918[/C][C] 0.09589[/C][/ROW]
[ROW][C]33[/C][C] 0.885[/C][C] 0.2301[/C][C] 0.115[/C][/ROW]
[ROW][C]34[/C][C] 0.8567[/C][C] 0.2867[/C][C] 0.1433[/C][/ROW]
[ROW][C]35[/C][C] 0.8903[/C][C] 0.2193[/C][C] 0.1097[/C][/ROW]
[ROW][C]36[/C][C] 0.8975[/C][C] 0.205[/C][C] 0.1025[/C][/ROW]
[ROW][C]37[/C][C] 0.8738[/C][C] 0.2524[/C][C] 0.1262[/C][/ROW]
[ROW][C]38[/C][C] 0.8474[/C][C] 0.3051[/C][C] 0.1526[/C][/ROW]
[ROW][C]39[/C][C] 0.8289[/C][C] 0.3422[/C][C] 0.1711[/C][/ROW]
[ROW][C]40[/C][C] 0.8258[/C][C] 0.3484[/C][C] 0.1742[/C][/ROW]
[ROW][C]41[/C][C] 0.8222[/C][C] 0.3557[/C][C] 0.1778[/C][/ROW]
[ROW][C]42[/C][C] 0.7866[/C][C] 0.4269[/C][C] 0.2134[/C][/ROW]
[ROW][C]43[/C][C] 0.7523[/C][C] 0.4953[/C][C] 0.2477[/C][/ROW]
[ROW][C]44[/C][C] 0.7277[/C][C] 0.5446[/C][C] 0.2723[/C][/ROW]
[ROW][C]45[/C][C] 0.8003[/C][C] 0.3993[/C][C] 0.1997[/C][/ROW]
[ROW][C]46[/C][C] 0.8453[/C][C] 0.3094[/C][C] 0.1547[/C][/ROW]
[ROW][C]47[/C][C] 0.8853[/C][C] 0.2295[/C][C] 0.1147[/C][/ROW]
[ROW][C]48[/C][C] 0.8661[/C][C] 0.2679[/C][C] 0.1339[/C][/ROW]
[ROW][C]49[/C][C] 0.8964[/C][C] 0.2072[/C][C] 0.1036[/C][/ROW]
[ROW][C]50[/C][C] 0.879[/C][C] 0.242[/C][C] 0.121[/C][/ROW]
[ROW][C]51[/C][C] 0.8591[/C][C] 0.2817[/C][C] 0.1409[/C][/ROW]
[ROW][C]52[/C][C] 0.9057[/C][C] 0.1887[/C][C] 0.09433[/C][/ROW]
[ROW][C]53[/C][C] 0.8855[/C][C] 0.2291[/C][C] 0.1145[/C][/ROW]
[ROW][C]54[/C][C] 0.908[/C][C] 0.1839[/C][C] 0.09197[/C][/ROW]
[ROW][C]55[/C][C] 0.9005[/C][C] 0.199[/C][C] 0.09948[/C][/ROW]
[ROW][C]56[/C][C] 0.891[/C][C] 0.218[/C][C] 0.109[/C][/ROW]
[ROW][C]57[/C][C] 0.8884[/C][C] 0.2233[/C][C] 0.1116[/C][/ROW]
[ROW][C]58[/C][C] 0.8731[/C][C] 0.2537[/C][C] 0.1269[/C][/ROW]
[ROW][C]59[/C][C] 0.9001[/C][C] 0.1998[/C][C] 0.09988[/C][/ROW]
[ROW][C]60[/C][C] 0.8811[/C][C] 0.2378[/C][C] 0.1189[/C][/ROW]
[ROW][C]61[/C][C] 0.8623[/C][C] 0.2754[/C][C] 0.1377[/C][/ROW]
[ROW][C]62[/C][C] 0.8422[/C][C] 0.3157[/C][C] 0.1578[/C][/ROW]
[ROW][C]63[/C][C] 0.8398[/C][C] 0.3204[/C][C] 0.1602[/C][/ROW]
[ROW][C]64[/C][C] 0.873[/C][C] 0.2539[/C][C] 0.127[/C][/ROW]
[ROW][C]65[/C][C] 0.8789[/C][C] 0.2421[/C][C] 0.1211[/C][/ROW]
[ROW][C]66[/C][C] 0.872[/C][C] 0.2559[/C][C] 0.128[/C][/ROW]
[ROW][C]67[/C][C] 0.8839[/C][C] 0.2323[/C][C] 0.1161[/C][/ROW]
[ROW][C]68[/C][C] 0.9306[/C][C] 0.1387[/C][C] 0.06935[/C][/ROW]
[ROW][C]69[/C][C] 0.9435[/C][C] 0.113[/C][C] 0.05652[/C][/ROW]
[ROW][C]70[/C][C] 0.9324[/C][C] 0.1353[/C][C] 0.06763[/C][/ROW]
[ROW][C]71[/C][C] 0.9288[/C][C] 0.1424[/C][C] 0.07119[/C][/ROW]
[ROW][C]72[/C][C] 0.9205[/C][C] 0.159[/C][C] 0.07949[/C][/ROW]
[ROW][C]73[/C][C] 0.9137[/C][C] 0.1726[/C][C] 0.08631[/C][/ROW]
[ROW][C]74[/C][C] 0.8969[/C][C] 0.2063[/C][C] 0.1031[/C][/ROW]
[ROW][C]75[/C][C] 0.8799[/C][C] 0.2402[/C][C] 0.1201[/C][/ROW]
[ROW][C]76[/C][C] 0.8596[/C][C] 0.2808[/C][C] 0.1404[/C][/ROW]
[ROW][C]77[/C][C] 0.837[/C][C] 0.326[/C][C] 0.163[/C][/ROW]
[ROW][C]78[/C][C] 0.8157[/C][C] 0.3687[/C][C] 0.1843[/C][/ROW]
[ROW][C]79[/C][C] 0.7966[/C][C] 0.4069[/C][C] 0.2034[/C][/ROW]
[ROW][C]80[/C][C] 0.8002[/C][C] 0.3996[/C][C] 0.1998[/C][/ROW]
[ROW][C]81[/C][C] 0.7739[/C][C] 0.4522[/C][C] 0.2261[/C][/ROW]
[ROW][C]82[/C][C] 0.7497[/C][C] 0.5005[/C][C] 0.2503[/C][/ROW]
[ROW][C]83[/C][C] 0.7216[/C][C] 0.5569[/C][C] 0.2784[/C][/ROW]
[ROW][C]84[/C][C] 0.6885[/C][C] 0.6231[/C][C] 0.3115[/C][/ROW]
[ROW][C]85[/C][C] 0.6884[/C][C] 0.6233[/C][C] 0.3116[/C][/ROW]
[ROW][C]86[/C][C] 0.6542[/C][C] 0.6916[/C][C] 0.3458[/C][/ROW]
[ROW][C]87[/C][C] 0.634[/C][C] 0.732[/C][C] 0.366[/C][/ROW]
[ROW][C]88[/C][C] 0.6155[/C][C] 0.769[/C][C] 0.3845[/C][/ROW]
[ROW][C]89[/C][C] 0.5838[/C][C] 0.8324[/C][C] 0.4162[/C][/ROW]
[ROW][C]90[/C][C] 0.5931[/C][C] 0.8137[/C][C] 0.4069[/C][/ROW]
[ROW][C]91[/C][C] 0.573[/C][C] 0.854[/C][C] 0.427[/C][/ROW]
[ROW][C]92[/C][C] 0.5505[/C][C] 0.8989[/C][C] 0.4495[/C][/ROW]
[ROW][C]93[/C][C] 0.5627[/C][C] 0.8747[/C][C] 0.4373[/C][/ROW]
[ROW][C]94[/C][C] 0.5267[/C][C] 0.9466[/C][C] 0.4733[/C][/ROW]
[ROW][C]95[/C][C] 0.4918[/C][C] 0.9837[/C][C] 0.5082[/C][/ROW]
[ROW][C]96[/C][C] 0.4621[/C][C] 0.9242[/C][C] 0.5379[/C][/ROW]
[ROW][C]97[/C][C] 0.4422[/C][C] 0.8844[/C][C] 0.5578[/C][/ROW]
[ROW][C]98[/C][C] 0.4057[/C][C] 0.8113[/C][C] 0.5943[/C][/ROW]
[ROW][C]99[/C][C] 0.3706[/C][C] 0.7413[/C][C] 0.6294[/C][/ROW]
[ROW][C]100[/C][C] 0.3447[/C][C] 0.6893[/C][C] 0.6553[/C][/ROW]
[ROW][C]101[/C][C] 0.3356[/C][C] 0.6712[/C][C] 0.6644[/C][/ROW]
[ROW][C]102[/C][C] 0.3045[/C][C] 0.609[/C][C] 0.6955[/C][/ROW]
[ROW][C]103[/C][C] 0.2859[/C][C] 0.5718[/C][C] 0.7141[/C][/ROW]
[ROW][C]104[/C][C] 0.2856[/C][C] 0.5713[/C][C] 0.7144[/C][/ROW]
[ROW][C]105[/C][C] 0.2611[/C][C] 0.5223[/C][C] 0.7389[/C][/ROW]
[ROW][C]106[/C][C] 0.2322[/C][C] 0.4644[/C][C] 0.7678[/C][/ROW]
[ROW][C]107[/C][C] 0.2056[/C][C] 0.4112[/C][C] 0.7944[/C][/ROW]
[ROW][C]108[/C][C] 0.1812[/C][C] 0.3625[/C][C] 0.8188[/C][/ROW]
[ROW][C]109[/C][C] 0.2095[/C][C] 0.4191[/C][C] 0.7905[/C][/ROW]
[ROW][C]110[/C][C] 0.1851[/C][C] 0.3702[/C][C] 0.8149[/C][/ROW]
[ROW][C]111[/C][C] 0.1677[/C][C] 0.3353[/C][C] 0.8323[/C][/ROW]
[ROW][C]112[/C][C] 0.1458[/C][C] 0.2916[/C][C] 0.8542[/C][/ROW]
[ROW][C]113[/C][C] 0.1635[/C][C] 0.327[/C][C] 0.8365[/C][/ROW]
[ROW][C]114[/C][C] 0.1831[/C][C] 0.3662[/C][C] 0.8169[/C][/ROW]
[ROW][C]115[/C][C] 0.267[/C][C] 0.5339[/C][C] 0.733[/C][/ROW]
[ROW][C]116[/C][C] 0.3175[/C][C] 0.6351[/C][C] 0.6825[/C][/ROW]
[ROW][C]117[/C][C] 0.3388[/C][C] 0.6776[/C][C] 0.6612[/C][/ROW]
[ROW][C]118[/C][C] 0.3075[/C][C] 0.6151[/C][C] 0.6925[/C][/ROW]
[ROW][C]119[/C][C] 0.3989[/C][C] 0.7977[/C][C] 0.6011[/C][/ROW]
[ROW][C]120[/C][C] 0.3998[/C][C] 0.7996[/C][C] 0.6002[/C][/ROW]
[ROW][C]121[/C][C] 0.3896[/C][C] 0.7792[/C][C] 0.6104[/C][/ROW]
[ROW][C]122[/C][C] 0.487[/C][C] 0.974[/C][C] 0.513[/C][/ROW]
[ROW][C]123[/C][C] 0.465[/C][C] 0.93[/C][C] 0.535[/C][/ROW]
[ROW][C]124[/C][C] 0.6672[/C][C] 0.6656[/C][C] 0.3328[/C][/ROW]
[ROW][C]125[/C][C] 0.6418[/C][C] 0.7165[/C][C] 0.3582[/C][/ROW]
[ROW][C]126[/C][C] 0.6095[/C][C] 0.781[/C][C] 0.3905[/C][/ROW]
[ROW][C]127[/C][C] 0.5832[/C][C] 0.8336[/C][C] 0.4168[/C][/ROW]
[ROW][C]128[/C][C] 0.5562[/C][C] 0.8877[/C][C] 0.4438[/C][/ROW]
[ROW][C]129[/C][C] 0.5923[/C][C] 0.8153[/C][C] 0.4077[/C][/ROW]
[ROW][C]130[/C][C] 0.5765[/C][C] 0.847[/C][C] 0.4235[/C][/ROW]
[ROW][C]131[/C][C] 0.5441[/C][C] 0.9118[/C][C] 0.4559[/C][/ROW]
[ROW][C]132[/C][C] 0.5399[/C][C] 0.9201[/C][C] 0.4601[/C][/ROW]
[ROW][C]133[/C][C] 0.506[/C][C] 0.988[/C][C] 0.494[/C][/ROW]
[ROW][C]134[/C][C] 0.4736[/C][C] 0.9472[/C][C] 0.5264[/C][/ROW]
[ROW][C]135[/C][C] 0.5084[/C][C] 0.9833[/C][C] 0.4916[/C][/ROW]
[ROW][C]136[/C][C] 0.5177[/C][C] 0.9646[/C][C] 0.4823[/C][/ROW]
[ROW][C]137[/C][C] 0.4852[/C][C] 0.9705[/C][C] 0.5148[/C][/ROW]
[ROW][C]138[/C][C] 0.7186[/C][C] 0.5628[/C][C] 0.2814[/C][/ROW]
[ROW][C]139[/C][C] 0.7011[/C][C] 0.5979[/C][C] 0.2989[/C][/ROW]
[ROW][C]140[/C][C] 0.672[/C][C] 0.656[/C][C] 0.328[/C][/ROW]
[ROW][C]141[/C][C] 0.6459[/C][C] 0.7083[/C][C] 0.3541[/C][/ROW]
[ROW][C]142[/C][C] 0.6771[/C][C] 0.6459[/C][C] 0.3229[/C][/ROW]
[ROW][C]143[/C][C] 0.6814[/C][C] 0.6372[/C][C] 0.3186[/C][/ROW]
[ROW][C]144[/C][C] 0.65[/C][C] 0.7[/C][C] 0.35[/C][/ROW]
[ROW][C]145[/C][C] 0.6294[/C][C] 0.7412[/C][C] 0.3706[/C][/ROW]
[ROW][C]146[/C][C] 0.5998[/C][C] 0.8004[/C][C] 0.4002[/C][/ROW]
[ROW][C]147[/C][C] 0.5658[/C][C] 0.8685[/C][C] 0.4342[/C][/ROW]
[ROW][C]148[/C][C] 0.5495[/C][C] 0.9011[/C][C] 0.4505[/C][/ROW]
[ROW][C]149[/C][C] 0.5166[/C][C] 0.9667[/C][C] 0.4834[/C][/ROW]
[ROW][C]150[/C][C] 0.5517[/C][C] 0.8966[/C][C] 0.4483[/C][/ROW]
[ROW][C]151[/C][C] 0.562[/C][C] 0.876[/C][C] 0.438[/C][/ROW]
[ROW][C]152[/C][C] 0.5389[/C][C] 0.9221[/C][C] 0.4611[/C][/ROW]
[ROW][C]153[/C][C] 0.5302[/C][C] 0.9395[/C][C] 0.4698[/C][/ROW]
[ROW][C]154[/C][C] 0.5502[/C][C] 0.8995[/C][C] 0.4498[/C][/ROW]
[ROW][C]155[/C][C] 0.5266[/C][C] 0.9468[/C][C] 0.4734[/C][/ROW]
[ROW][C]156[/C][C] 0.4948[/C][C] 0.9895[/C][C] 0.5052[/C][/ROW]
[ROW][C]157[/C][C] 0.5064[/C][C] 0.9873[/C][C] 0.4936[/C][/ROW]
[ROW][C]158[/C][C] 0.4866[/C][C] 0.9732[/C][C] 0.5134[/C][/ROW]
[ROW][C]159[/C][C] 0.4666[/C][C] 0.9333[/C][C] 0.5334[/C][/ROW]
[ROW][C]160[/C][C] 0.4493[/C][C] 0.8986[/C][C] 0.5507[/C][/ROW]
[ROW][C]161[/C][C] 0.4304[/C][C] 0.8608[/C][C] 0.5696[/C][/ROW]
[ROW][C]162[/C][C] 0.3966[/C][C] 0.7933[/C][C] 0.6034[/C][/ROW]
[ROW][C]163[/C][C] 0.4[/C][C] 0.8[/C][C] 0.6[/C][/ROW]
[ROW][C]164[/C][C] 0.8329[/C][C] 0.3343[/C][C] 0.1671[/C][/ROW]
[ROW][C]165[/C][C] 0.8788[/C][C] 0.2423[/C][C] 0.1212[/C][/ROW]
[ROW][C]166[/C][C] 0.8795[/C][C] 0.2409[/C][C] 0.1205[/C][/ROW]
[ROW][C]167[/C][C] 0.8698[/C][C] 0.2603[/C][C] 0.1302[/C][/ROW]
[ROW][C]168[/C][C] 0.8518[/C][C] 0.2965[/C][C] 0.1482[/C][/ROW]
[ROW][C]169[/C][C] 0.8305[/C][C] 0.3391[/C][C] 0.1695[/C][/ROW]
[ROW][C]170[/C][C] 0.8108[/C][C] 0.3784[/C][C] 0.1892[/C][/ROW]
[ROW][C]171[/C][C] 0.7871[/C][C] 0.4258[/C][C] 0.2129[/C][/ROW]
[ROW][C]172[/C][C] 0.7706[/C][C] 0.4587[/C][C] 0.2294[/C][/ROW]
[ROW][C]173[/C][C] 0.7831[/C][C] 0.4339[/C][C] 0.2169[/C][/ROW]
[ROW][C]174[/C][C] 0.7873[/C][C] 0.4255[/C][C] 0.2127[/C][/ROW]
[ROW][C]175[/C][C] 0.7931[/C][C] 0.4139[/C][C] 0.2069[/C][/ROW]
[ROW][C]176[/C][C] 0.7909[/C][C] 0.4182[/C][C] 0.2091[/C][/ROW]
[ROW][C]177[/C][C] 0.7639[/C][C] 0.4722[/C][C] 0.2361[/C][/ROW]
[ROW][C]178[/C][C] 0.7604[/C][C] 0.4792[/C][C] 0.2396[/C][/ROW]
[ROW][C]179[/C][C] 0.8267[/C][C] 0.3466[/C][C] 0.1733[/C][/ROW]
[ROW][C]180[/C][C] 0.9318[/C][C] 0.1363[/C][C] 0.06817[/C][/ROW]
[ROW][C]181[/C][C] 0.9191[/C][C] 0.1618[/C][C] 0.0809[/C][/ROW]
[ROW][C]182[/C][C] 0.9166[/C][C] 0.1668[/C][C] 0.08338[/C][/ROW]
[ROW][C]183[/C][C] 0.9045[/C][C] 0.1911[/C][C] 0.09554[/C][/ROW]
[ROW][C]184[/C][C] 0.8917[/C][C] 0.2166[/C][C] 0.1083[/C][/ROW]
[ROW][C]185[/C][C] 0.9368[/C][C] 0.1264[/C][C] 0.06321[/C][/ROW]
[ROW][C]186[/C][C] 0.9269[/C][C] 0.1462[/C][C] 0.07308[/C][/ROW]
[ROW][C]187[/C][C] 0.9157[/C][C] 0.1687[/C][C] 0.08433[/C][/ROW]
[ROW][C]188[/C][C] 0.9063[/C][C] 0.1873[/C][C] 0.09365[/C][/ROW]
[ROW][C]189[/C][C] 0.8959[/C][C] 0.2081[/C][C] 0.1041[/C][/ROW]
[ROW][C]190[/C][C] 0.8884[/C][C] 0.2232[/C][C] 0.1116[/C][/ROW]
[ROW][C]191[/C][C] 0.8821[/C][C] 0.2357[/C][C] 0.1179[/C][/ROW]
[ROW][C]192[/C][C] 0.8732[/C][C] 0.2536[/C][C] 0.1268[/C][/ROW]
[ROW][C]193[/C][C] 0.8553[/C][C] 0.2894[/C][C] 0.1447[/C][/ROW]
[ROW][C]194[/C][C] 0.845[/C][C] 0.31[/C][C] 0.155[/C][/ROW]
[ROW][C]195[/C][C] 0.8379[/C][C] 0.3242[/C][C] 0.1621[/C][/ROW]
[ROW][C]196[/C][C] 0.82[/C][C] 0.3599[/C][C] 0.18[/C][/ROW]
[ROW][C]197[/C][C] 0.7946[/C][C] 0.4109[/C][C] 0.2054[/C][/ROW]
[ROW][C]198[/C][C] 0.765[/C][C] 0.47[/C][C] 0.235[/C][/ROW]
[ROW][C]199[/C][C] 0.7362[/C][C] 0.5276[/C][C] 0.2638[/C][/ROW]
[ROW][C]200[/C][C] 0.7088[/C][C] 0.5824[/C][C] 0.2912[/C][/ROW]
[ROW][C]201[/C][C] 0.9264[/C][C] 0.1472[/C][C] 0.07362[/C][/ROW]
[ROW][C]202[/C][C] 0.9181[/C][C] 0.1638[/C][C] 0.08191[/C][/ROW]
[ROW][C]203[/C][C] 0.9025[/C][C] 0.1951[/C][C] 0.09754[/C][/ROW]
[ROW][C]204[/C][C] 0.9004[/C][C] 0.1992[/C][C] 0.09961[/C][/ROW]
[ROW][C]205[/C][C] 0.8813[/C][C] 0.2373[/C][C] 0.1187[/C][/ROW]
[ROW][C]206[/C][C] 0.8761[/C][C] 0.2478[/C][C] 0.1239[/C][/ROW]
[ROW][C]207[/C][C] 0.9363[/C][C] 0.1275[/C][C] 0.06373[/C][/ROW]
[ROW][C]208[/C][C] 0.938[/C][C] 0.1239[/C][C] 0.06196[/C][/ROW]
[ROW][C]209[/C][C] 0.9433[/C][C] 0.1135[/C][C] 0.05673[/C][/ROW]
[ROW][C]210[/C][C] 0.9313[/C][C] 0.1374[/C][C] 0.06872[/C][/ROW]
[ROW][C]211[/C][C] 0.9404[/C][C] 0.1192[/C][C] 0.0596[/C][/ROW]
[ROW][C]212[/C][C] 0.9382[/C][C] 0.1237[/C][C] 0.06183[/C][/ROW]
[ROW][C]213[/C][C] 0.9272[/C][C] 0.1456[/C][C] 0.0728[/C][/ROW]
[ROW][C]214[/C][C] 0.9115[/C][C] 0.177[/C][C] 0.08852[/C][/ROW]
[ROW][C]215[/C][C] 0.9007[/C][C] 0.1985[/C][C] 0.09926[/C][/ROW]
[ROW][C]216[/C][C] 0.8832[/C][C] 0.2336[/C][C] 0.1168[/C][/ROW]
[ROW][C]217[/C][C] 0.8607[/C][C] 0.2786[/C][C] 0.1393[/C][/ROW]
[ROW][C]218[/C][C] 0.9067[/C][C] 0.1865[/C][C] 0.09325[/C][/ROW]
[ROW][C]219[/C][C] 0.8953[/C][C] 0.2093[/C][C] 0.1047[/C][/ROW]
[ROW][C]220[/C][C] 0.8776[/C][C] 0.2449[/C][C] 0.1224[/C][/ROW]
[ROW][C]221[/C][C] 0.8551[/C][C] 0.2897[/C][C] 0.1449[/C][/ROW]
[ROW][C]222[/C][C] 0.9227[/C][C] 0.1546[/C][C] 0.07731[/C][/ROW]
[ROW][C]223[/C][C] 0.9118[/C][C] 0.1764[/C][C] 0.0882[/C][/ROW]
[ROW][C]224[/C][C] 0.9046[/C][C] 0.1907[/C][C] 0.09535[/C][/ROW]
[ROW][C]225[/C][C] 0.8894[/C][C] 0.2211[/C][C] 0.1106[/C][/ROW]
[ROW][C]226[/C][C] 0.8989[/C][C] 0.2023[/C][C] 0.1011[/C][/ROW]
[ROW][C]227[/C][C] 0.8774[/C][C] 0.2452[/C][C] 0.1226[/C][/ROW]
[ROW][C]228[/C][C] 0.8514[/C][C] 0.2973[/C][C] 0.1486[/C][/ROW]
[ROW][C]229[/C][C] 0.8231[/C][C] 0.3537[/C][C] 0.1769[/C][/ROW]
[ROW][C]230[/C][C] 0.7951[/C][C] 0.4099[/C][C] 0.2049[/C][/ROW]
[ROW][C]231[/C][C] 0.8732[/C][C] 0.2536[/C][C] 0.1268[/C][/ROW]
[ROW][C]232[/C][C] 0.852[/C][C] 0.2959[/C][C] 0.148[/C][/ROW]
[ROW][C]233[/C][C] 0.8197[/C][C] 0.3607[/C][C] 0.1803[/C][/ROW]
[ROW][C]234[/C][C] 0.8718[/C][C] 0.2564[/C][C] 0.1282[/C][/ROW]
[ROW][C]235[/C][C] 0.8467[/C][C] 0.3065[/C][C] 0.1533[/C][/ROW]
[ROW][C]236[/C][C] 0.9121[/C][C] 0.1759[/C][C] 0.08794[/C][/ROW]
[ROW][C]237[/C][C] 0.9428[/C][C] 0.1143[/C][C] 0.05717[/C][/ROW]
[ROW][C]238[/C][C] 0.9353[/C][C] 0.1293[/C][C] 0.06467[/C][/ROW]
[ROW][C]239[/C][C] 0.9441[/C][C] 0.1118[/C][C] 0.05591[/C][/ROW]
[ROW][C]240[/C][C] 0.9265[/C][C] 0.147[/C][C] 0.0735[/C][/ROW]
[ROW][C]241[/C][C] 0.9191[/C][C] 0.1617[/C][C] 0.08087[/C][/ROW]
[ROW][C]242[/C][C] 0.9189[/C][C] 0.1621[/C][C] 0.08105[/C][/ROW]
[ROW][C]243[/C][C] 0.8972[/C][C] 0.2057[/C][C] 0.1028[/C][/ROW]
[ROW][C]244[/C][C] 0.9764[/C][C] 0.04714[/C][C] 0.02357[/C][/ROW]
[ROW][C]245[/C][C] 0.9727[/C][C] 0.0546[/C][C] 0.0273[/C][/ROW]
[ROW][C]246[/C][C] 0.9619[/C][C] 0.07611[/C][C] 0.03805[/C][/ROW]
[ROW][C]247[/C][C] 0.9588[/C][C] 0.08243[/C][C] 0.04122[/C][/ROW]
[ROW][C]248[/C][C] 0.9408[/C][C] 0.1184[/C][C] 0.05919[/C][/ROW]
[ROW][C]249[/C][C] 0.9181[/C][C] 0.1637[/C][C] 0.08185[/C][/ROW]
[ROW][C]250[/C][C] 0.887[/C][C] 0.226[/C][C] 0.113[/C][/ROW]
[ROW][C]251[/C][C] 0.8505[/C][C] 0.299[/C][C] 0.1495[/C][/ROW]
[ROW][C]252[/C][C] 0.8511[/C][C] 0.2978[/C][C] 0.1489[/C][/ROW]
[ROW][C]253[/C][C] 0.8034[/C][C] 0.3933[/C][C] 0.1966[/C][/ROW]
[ROW][C]254[/C][C] 0.7488[/C][C] 0.5023[/C][C] 0.2512[/C][/ROW]
[ROW][C]255[/C][C] 0.9089[/C][C] 0.1823[/C][C] 0.09115[/C][/ROW]
[ROW][C]256[/C][C] 0.8668[/C][C] 0.2665[/C][C] 0.1332[/C][/ROW]
[ROW][C]257[/C][C] 0.8289[/C][C] 0.3422[/C][C] 0.1711[/C][/ROW]
[ROW][C]258[/C][C] 0.7648[/C][C] 0.4704[/C][C] 0.2352[/C][/ROW]
[ROW][C]259[/C][C] 0.6803[/C][C] 0.6394[/C][C] 0.3197[/C][/ROW]
[ROW][C]260[/C][C] 0.5892[/C][C] 0.8215[/C][C] 0.4108[/C][/ROW]
[ROW][C]261[/C][C] 0.5787[/C][C] 0.8427[/C][C] 0.4213[/C][/ROW]
[ROW][C]262[/C][C] 0.5028[/C][C] 0.9943[/C][C] 0.4972[/C][/ROW]
[ROW][C]263[/C][C] 0.5381[/C][C] 0.9238[/C][C] 0.4619[/C][/ROW]
[ROW][C]264[/C][C] 0.3959[/C][C] 0.7918[/C][C] 0.6041[/C][/ROW]
[ROW][C]265[/C][C] 0.2533[/C][C] 0.5067[/C][C] 0.7467[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280411&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280411&T=5

As an alternative you can also use a QR Code:

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

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
13	0.1908	0.3816	0.8092
14	0.08715	0.1743	0.9129
15	0.9514	0.09728	0.04864
16	0.9158	0.1685	0.08423
17	0.8781	0.2437	0.1219
18	0.8377	0.3247	0.1623
19	0.8316	0.3368	0.1684
20	0.8056	0.3888	0.1944
21	0.797	0.4061	0.203
22	0.7337	0.5326	0.2663
23	0.9035	0.193	0.09649
24	0.8848	0.2304	0.1152
25	0.864	0.272	0.136
26	0.8654	0.2692	0.1346
27	0.8787	0.2425	0.1213
28	0.8539	0.2922	0.1461
29	0.8268	0.3465	0.1732
30	0.7826	0.4348	0.2174
31	0.9108	0.1785	0.08925
32	0.9041	0.1918	0.09589
33	0.885	0.2301	0.115
34	0.8567	0.2867	0.1433
35	0.8903	0.2193	0.1097
36	0.8975	0.205	0.1025
37	0.8738	0.2524	0.1262
38	0.8474	0.3051	0.1526
39	0.8289	0.3422	0.1711
40	0.8258	0.3484	0.1742
41	0.8222	0.3557	0.1778
42	0.7866	0.4269	0.2134
43	0.7523	0.4953	0.2477
44	0.7277	0.5446	0.2723
45	0.8003	0.3993	0.1997
46	0.8453	0.3094	0.1547
47	0.8853	0.2295	0.1147
48	0.8661	0.2679	0.1339
49	0.8964	0.2072	0.1036
50	0.879	0.242	0.121
51	0.8591	0.2817	0.1409
52	0.9057	0.1887	0.09433
53	0.8855	0.2291	0.1145
54	0.908	0.1839	0.09197
55	0.9005	0.199	0.09948
56	0.891	0.218	0.109
57	0.8884	0.2233	0.1116
58	0.8731	0.2537	0.1269
59	0.9001	0.1998	0.09988
60	0.8811	0.2378	0.1189
61	0.8623	0.2754	0.1377
62	0.8422	0.3157	0.1578
63	0.8398	0.3204	0.1602
64	0.873	0.2539	0.127
65	0.8789	0.2421	0.1211
66	0.872	0.2559	0.128
67	0.8839	0.2323	0.1161
68	0.9306	0.1387	0.06935
69	0.9435	0.113	0.05652
70	0.9324	0.1353	0.06763
71	0.9288	0.1424	0.07119
72	0.9205	0.159	0.07949
73	0.9137	0.1726	0.08631
74	0.8969	0.2063	0.1031
75	0.8799	0.2402	0.1201
76	0.8596	0.2808	0.1404
77	0.837	0.326	0.163
78	0.8157	0.3687	0.1843
79	0.7966	0.4069	0.2034
80	0.8002	0.3996	0.1998
81	0.7739	0.4522	0.2261
82	0.7497	0.5005	0.2503
83	0.7216	0.5569	0.2784
84	0.6885	0.6231	0.3115
85	0.6884	0.6233	0.3116
86	0.6542	0.6916	0.3458
87	0.634	0.732	0.366
88	0.6155	0.769	0.3845
89	0.5838	0.8324	0.4162
90	0.5931	0.8137	0.4069
91	0.573	0.854	0.427
92	0.5505	0.8989	0.4495
93	0.5627	0.8747	0.4373
94	0.5267	0.9466	0.4733
95	0.4918	0.9837	0.5082
96	0.4621	0.9242	0.5379
97	0.4422	0.8844	0.5578
98	0.4057	0.8113	0.5943
99	0.3706	0.7413	0.6294
100	0.3447	0.6893	0.6553
101	0.3356	0.6712	0.6644
102	0.3045	0.609	0.6955
103	0.2859	0.5718	0.7141
104	0.2856	0.5713	0.7144
105	0.2611	0.5223	0.7389
106	0.2322	0.4644	0.7678
107	0.2056	0.4112	0.7944
108	0.1812	0.3625	0.8188
109	0.2095	0.4191	0.7905
110	0.1851	0.3702	0.8149
111	0.1677	0.3353	0.8323
112	0.1458	0.2916	0.8542
113	0.1635	0.327	0.8365
114	0.1831	0.3662	0.8169
115	0.267	0.5339	0.733
116	0.3175	0.6351	0.6825
117	0.3388	0.6776	0.6612
118	0.3075	0.6151	0.6925
119	0.3989	0.7977	0.6011
120	0.3998	0.7996	0.6002
121	0.3896	0.7792	0.6104
122	0.487	0.974	0.513
123	0.465	0.93	0.535
124	0.6672	0.6656	0.3328
125	0.6418	0.7165	0.3582
126	0.6095	0.781	0.3905
127	0.5832	0.8336	0.4168
128	0.5562	0.8877	0.4438
129	0.5923	0.8153	0.4077
130	0.5765	0.847	0.4235
131	0.5441	0.9118	0.4559
132	0.5399	0.9201	0.4601
133	0.506	0.988	0.494
134	0.4736	0.9472	0.5264
135	0.5084	0.9833	0.4916
136	0.5177	0.9646	0.4823
137	0.4852	0.9705	0.5148
138	0.7186	0.5628	0.2814
139	0.7011	0.5979	0.2989
140	0.672	0.656	0.328
141	0.6459	0.7083	0.3541
142	0.6771	0.6459	0.3229
143	0.6814	0.6372	0.3186
144	0.65	0.7	0.35
145	0.6294	0.7412	0.3706
146	0.5998	0.8004	0.4002
147	0.5658	0.8685	0.4342
148	0.5495	0.9011	0.4505
149	0.5166	0.9667	0.4834
150	0.5517	0.8966	0.4483
151	0.562	0.876	0.438
152	0.5389	0.9221	0.4611
153	0.5302	0.9395	0.4698
154	0.5502	0.8995	0.4498
155	0.5266	0.9468	0.4734
156	0.4948	0.9895	0.5052
157	0.5064	0.9873	0.4936
158	0.4866	0.9732	0.5134
159	0.4666	0.9333	0.5334
160	0.4493	0.8986	0.5507
161	0.4304	0.8608	0.5696
162	0.3966	0.7933	0.6034
163	0.4	0.8	0.6
164	0.8329	0.3343	0.1671
165	0.8788	0.2423	0.1212
166	0.8795	0.2409	0.1205
167	0.8698	0.2603	0.1302
168	0.8518	0.2965	0.1482
169	0.8305	0.3391	0.1695
170	0.8108	0.3784	0.1892
171	0.7871	0.4258	0.2129
172	0.7706	0.4587	0.2294
173	0.7831	0.4339	0.2169
174	0.7873	0.4255	0.2127
175	0.7931	0.4139	0.2069
176	0.7909	0.4182	0.2091
177	0.7639	0.4722	0.2361
178	0.7604	0.4792	0.2396
179	0.8267	0.3466	0.1733
180	0.9318	0.1363	0.06817
181	0.9191	0.1618	0.0809
182	0.9166	0.1668	0.08338
183	0.9045	0.1911	0.09554
184	0.8917	0.2166	0.1083
185	0.9368	0.1264	0.06321
186	0.9269	0.1462	0.07308
187	0.9157	0.1687	0.08433
188	0.9063	0.1873	0.09365
189	0.8959	0.2081	0.1041
190	0.8884	0.2232	0.1116
191	0.8821	0.2357	0.1179
192	0.8732	0.2536	0.1268
193	0.8553	0.2894	0.1447
194	0.845	0.31	0.155
195	0.8379	0.3242	0.1621
196	0.82	0.3599	0.18
197	0.7946	0.4109	0.2054
198	0.765	0.47	0.235
199	0.7362	0.5276	0.2638
200	0.7088	0.5824	0.2912
201	0.9264	0.1472	0.07362
202	0.9181	0.1638	0.08191
203	0.9025	0.1951	0.09754
204	0.9004	0.1992	0.09961
205	0.8813	0.2373	0.1187
206	0.8761	0.2478	0.1239
207	0.9363	0.1275	0.06373
208	0.938	0.1239	0.06196
209	0.9433	0.1135	0.05673
210	0.9313	0.1374	0.06872
211	0.9404	0.1192	0.0596
212	0.9382	0.1237	0.06183
213	0.9272	0.1456	0.0728
214	0.9115	0.177	0.08852
215	0.9007	0.1985	0.09926
216	0.8832	0.2336	0.1168
217	0.8607	0.2786	0.1393
218	0.9067	0.1865	0.09325
219	0.8953	0.2093	0.1047
220	0.8776	0.2449	0.1224
221	0.8551	0.2897	0.1449
222	0.9227	0.1546	0.07731
223	0.9118	0.1764	0.0882
224	0.9046	0.1907	0.09535
225	0.8894	0.2211	0.1106
226	0.8989	0.2023	0.1011
227	0.8774	0.2452	0.1226
228	0.8514	0.2973	0.1486
229	0.8231	0.3537	0.1769
230	0.7951	0.4099	0.2049
231	0.8732	0.2536	0.1268
232	0.852	0.2959	0.148
233	0.8197	0.3607	0.1803
234	0.8718	0.2564	0.1282
235	0.8467	0.3065	0.1533
236	0.9121	0.1759	0.08794
237	0.9428	0.1143	0.05717
238	0.9353	0.1293	0.06467
239	0.9441	0.1118	0.05591
240	0.9265	0.147	0.0735
241	0.9191	0.1617	0.08087
242	0.9189	0.1621	0.08105
243	0.8972	0.2057	0.1028
244	0.9764	0.04714	0.02357
245	0.9727	0.0546	0.0273
246	0.9619	0.07611	0.03805
247	0.9588	0.08243	0.04122
248	0.9408	0.1184	0.05919
249	0.9181	0.1637	0.08185
250	0.887	0.226	0.113
251	0.8505	0.299	0.1495
252	0.8511	0.2978	0.1489
253	0.8034	0.3933	0.1966
254	0.7488	0.5023	0.2512
255	0.9089	0.1823	0.09115
256	0.8668	0.2665	0.1332
257	0.8289	0.3422	0.1711
258	0.7648	0.4704	0.2352
259	0.6803	0.6394	0.3197
260	0.5892	0.8215	0.4108
261	0.5787	0.8427	0.4213
262	0.5028	0.9943	0.4972
263	0.5381	0.9238	0.4619
264	0.3959	0.7918	0.6041
265	0.2533	0.5067	0.7467

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	1	0.00395257	OK
10% type I error level	5	0.0197628	OK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 &  0 & OK \tabularnewline
5% type I error level & 1 & 0.00395257 & OK \tabularnewline
10% type I error level & 5 & 0.0197628 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280411&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]1[/C][C]0.00395257[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]5[/C][C]0.0197628[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280411&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280411&T=6

As an alternative you can also use a QR Code:

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	1	0.00395257	OK
10% type I error level	5	0.0197628	OK

Figure 1

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Figure 3

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Figure 4

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Figure 5

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Figure 6

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Figure 7

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Figure 8

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Figure 9

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Figure 10

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Parameters (Session):

par1 = 0.95 ; par2 = 0 ;

Parameters (R input):

par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

R code (references can be found in the software module):

library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
mywarning <- ''
par1 <- as.numeric(par1)
if(is.na(par1)) {
par1 <- 1
mywarning = 'Warning: you did not specify the column number of the endogenous series! The first column was selected by default.'
}
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$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, mywarning)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,formatC(signif(mysum$coefficients[i,1],5),format='g',flag='+'))
a<-table.element(a,formatC(signif(mysum$coefficients[i,2],5),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$coefficients[i,3],4),format='e',flag='+'))
a<-table.element(a,formatC(signif(mysum$coefficients[i,4],4),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$coefficients[i,4]/2,4),format='g',flag=' '))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a,formatC(signif(sqrt(mysum$r.squared),6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a,formatC(signif(mysum$r.squared,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a,formatC(signif(mysum$adj.r.squared,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a,formatC(signif(mysum$fstatistic[1],6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$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$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a,formatC(signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6),format='g',flag=' '))
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,formatC(signif(mysum$sigma,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a,formatC(signif(sum(myerror*myerror),6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,formatC(signif(x[i],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(x[i]-mysum$resid[i],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$resid[i],6),format='g',flag=' '))
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,formatC(signif(gqarr[mypoint-kp3+1,1],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(gqarr[mypoint-kp3+1,2],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(gqarr[mypoint-kp3+1,3],6),format='g',flag=' '))
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,formatC(signif(numsignificant1/numgqtests,6),format='g',flag=' '))
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code