Multiple Linear Regression - Estimated Regression Equation |
Happiness[t] = + 17.4334 + 0.00645862Connected[t] + 0.00998702Separate[t] -0.39153Depression[t] + 0.0779111Learning[t] + 0.215428M1[t] + 0.0854128M2[t] -0.080116M3[t] + 0.0880191M4[t] + 0.267281M5[t] + 1.01923M6[t] + 0.187619M7[t] + 0.565177M8[t] + 0.0724241M9[t] + 0.0956282M10[t] + 0.397392M11[t] -0.00380036t + e[t] |
Multiple Linear Regression - Ordinary Least Squares | |||||
Variable | Parameter | S.D. | T-STAT H0: parameter = 0 | 2-tail p-value | 1-tail p-value |
(Intercept) | 17.4334 | 1.76141 | 9.897 | 1.14275e-19 | 5.71376e-20 |
Connected | 0.00645862 | 0.0389597 | 0.1658 | 0.868468 | 0.434234 |
Separate | 0.00998702 | 0.0390434 | 0.2558 | 0.798324 | 0.399162 |
Depression | -0.39153 | 0.0385753 | -10.15 | 1.86036e-20 | 9.3018e-21 |
Learning | 0.0779111 | 0.0583386 | 1.335 | 0.182943 | 0.0914715 |
M1 | 0.215428 | 0.616055 | 0.3497 | 0.726869 | 0.363435 |
M2 | 0.0854128 | 0.617054 | 0.1384 | 0.890021 | 0.44501 |
M3 | -0.080116 | 0.61514 | -0.1302 | 0.896482 | 0.448241 |
M4 | 0.0880191 | 0.615901 | 0.1429 | 0.886477 | 0.443238 |
M5 | 0.267281 | 0.617647 | 0.4327 | 0.665581 | 0.332791 |
M6 | 1.01923 | 0.616472 | 1.653 | 0.0995362 | 0.0497681 |
M7 | 0.187619 | 0.618744 | 0.3032 | 0.761973 | 0.380987 |
M8 | 0.565177 | 0.613831 | 0.9207 | 0.358086 | 0.179043 |
M9 | 0.0724241 | 0.614619 | 0.1178 | 0.906294 | 0.453147 |
M10 | 0.0956282 | 0.617917 | 0.1548 | 0.877138 | 0.438569 |
M11 | 0.397392 | 0.61353 | 0.6477 | 0.517772 | 0.258886 |
t | -0.00380036 | 0.00182691 | -2.08 | 0.0385369 | 0.0192684 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.616093 |
R-squared | 0.379571 |
Adjusted R-squared | 0.339381 |
F-TEST (value) | 9.44446 |
F-TEST (DF numerator) | 16 |
F-TEST (DF denominator) | 247 |
p-value | 0 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 2.03086 |
Sum Squared Residuals | 1018.72 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 14 | 14.6039 | -0.603864 |
2 | 18 | 15.0225 | 2.97753 |
3 | 11 | 13.8841 | -2.88412 |
4 | 12 | 14.5064 | -2.50635 |
5 | 16 | 11.1395 | 4.86054 |
6 | 18 | 15.26 | 2.73998 |
7 | 14 | 11.0226 | 2.97741 |
8 | 14 | 15.4092 | -1.40918 |
9 | 15 | 15.2292 | -0.229175 |
10 | 15 | 14.1883 | 0.811682 |
11 | 17 | 15.6753 | 1.32467 |
12 | 19 | 16.0742 | 2.92576 |
13 | 10 | 13.5681 | -3.56807 |
14 | 16 | 13.8622 | 2.1378 |
15 | 18 | 15.2882 | 2.71184 |
16 | 14 | 13.6841 | 0.315851 |
17 | 14 | 13.8755 | 0.124543 |
18 | 17 | 16.2606 | 0.739413 |
19 | 14 | 15.6673 | -1.66735 |
20 | 16 | 14.6056 | 1.39444 |
21 | 18 | 15.4893 | 2.51065 |
22 | 11 | 13.7204 | -2.72043 |
23 | 14 | 15.1568 | -1.15677 |
24 | 12 | 13.7359 | -1.73585 |
25 | 17 | 15.143 | 1.85701 |
26 | 9 | 15.8052 | -6.80515 |
27 | 16 | 14.7725 | 1.22748 |
28 | 14 | 13.2934 | 0.706579 |
29 | 15 | 13.8984 | 1.10162 |
30 | 11 | 14.8887 | -3.88869 |
31 | 16 | 15.658 | 0.342039 |
32 | 13 | 13.433 | -0.432957 |
33 | 17 | 15.1045 | 1.89552 |
34 | 15 | 14.9287 | 0.0712816 |
35 | 14 | 14.2179 | -0.21789 |
36 | 16 | 15.4797 | 0.520252 |
37 | 9 | 10.9537 | -1.95366 |
38 | 15 | 14.3289 | 0.671082 |
39 | 17 | 15.0333 | 1.96671 |
40 | 13 | 15.2563 | -2.25635 |
41 | 15 | 15.8263 | -0.826269 |
42 | 16 | 14.4516 | 1.54845 |
43 | 16 | 16.4486 | -0.44864 |
44 | 12 | 13.9964 | -1.99636 |
45 | 15 | 14.6438 | 0.356161 |
46 | 11 | 13.7099 | -2.7099 |
47 | 15 | 15.8541 | -0.854124 |
48 | 15 | 14.6656 | 0.334446 |
49 | 17 | 13.4483 | 3.5517 |
50 | 13 | 14.6778 | -1.67777 |
51 | 16 | 15.077 | 0.923032 |
52 | 14 | 13.4395 | 0.560536 |
53 | 11 | 11.9229 | -0.922943 |
54 | 12 | 14.6117 | -2.6117 |
55 | 12 | 14.3327 | -2.33267 |
56 | 15 | 13.7879 | 1.21212 |
57 | 16 | 14.0374 | 1.96262 |
58 | 15 | 15.5583 | -0.558316 |
59 | 12 | 15.4585 | -3.45848 |
60 | 12 | 13.1447 | -1.14466 |
61 | 8 | 10.9948 | -2.99477 |
62 | 13 | 14.4164 | -1.41644 |
63 | 11 | 14.2313 | -3.23126 |
64 | 14 | 13.4373 | 0.562664 |
65 | 15 | 14.1396 | 0.860423 |
66 | 10 | 15.8151 | -5.81507 |
67 | 11 | 12.6949 | -1.69488 |
68 | 12 | 14.9076 | -2.90764 |
69 | 15 | 13.7401 | 1.25995 |
70 | 15 | 13.6238 | 1.37623 |
71 | 14 | 13.8552 | 0.144811 |
72 | 16 | 12.9573 | 3.04266 |
73 | 15 | 14.293 | 0.70696 |
74 | 15 | 15.3796 | -0.379623 |
75 | 13 | 14.4973 | -1.49729 |
76 | 12 | 11.6695 | 0.330453 |
77 | 17 | 14.1733 | 2.82673 |
78 | 13 | 13.276 | -0.275996 |
79 | 15 | 13.7342 | 1.26577 |
80 | 13 | 15.926 | -2.92602 |
81 | 15 | 14.7105 | 0.289548 |
82 | 15 | 15.5358 | -0.53582 |
83 | 16 | 14.5543 | 1.44575 |
84 | 15 | 14.1308 | 0.869248 |
85 | 14 | 14.0053 | -0.00525887 |
86 | 15 | 13.8278 | 1.17219 |
87 | 14 | 14.1236 | -0.123605 |
88 | 13 | 13.0675 | -0.0675406 |
89 | 7 | 10.4602 | -3.4602 |
90 | 17 | 14.5154 | 2.48457 |
91 | 13 | 13.2789 | -0.278861 |
92 | 15 | 14.4412 | 0.558807 |
93 | 14 | 12.9345 | 1.06554 |
94 | 13 | 13.7775 | -0.777466 |
95 | 16 | 15.021 | 0.979034 |
96 | 12 | 12.6392 | -0.639218 |
97 | 14 | 14.7556 | -0.755632 |
98 | 17 | 14.6647 | 2.33531 |
99 | 15 | 14.7188 | 0.281246 |
100 | 17 | 15.0777 | 1.92234 |
101 | 12 | 12.8875 | -0.887497 |
102 | 16 | 15.5269 | 0.473078 |
103 | 11 | 14.5778 | -3.57777 |
104 | 15 | 13.1881 | 1.81189 |
105 | 9 | 11.2585 | -2.25853 |
106 | 16 | 14.7389 | 1.26114 |
107 | 15 | 13.0606 | 1.93941 |
108 | 10 | 12.9787 | -2.97869 |
109 | 10 | 9.47002 | 0.529983 |
110 | 15 | 13.3993 | 1.60071 |
111 | 11 | 12.8349 | -1.8349 |
112 | 13 | 14.7296 | -1.72962 |
113 | 14 | 12.9474 | 1.05258 |
114 | 18 | 14.8345 | 3.16547 |
115 | 16 | 15.2297 | 0.770327 |
116 | 14 | 13.7797 | 0.220273 |
117 | 14 | 13.6812 | 0.318837 |
118 | 14 | 15.1324 | -1.13238 |
119 | 14 | 13.3572 | 0.642822 |
120 | 12 | 12.6999 | -0.699946 |
121 | 14 | 13.4241 | 0.57595 |
122 | 15 | 14.3961 | 0.603853 |
123 | 15 | 15.6187 | -0.618696 |
124 | 15 | 14.4542 | 0.545839 |
125 | 13 | 14.6952 | -1.69521 |
126 | 17 | 16.5817 | 0.41828 |
127 | 17 | 15.2213 | 1.77872 |
128 | 19 | 14.9467 | 4.05332 |
129 | 15 | 13.4163 | 1.58371 |
130 | 13 | 14.511 | -1.51102 |
131 | 9 | 10.7819 | -1.78192 |
132 | 15 | 14.8909 | 0.109063 |
133 | 15 | 12.6794 | 2.3206 |
134 | 15 | 14.0205 | 0.979523 |
135 | 16 | 13.0238 | 2.97618 |
136 | 11 | 9.41282 | 1.58718 |
137 | 14 | 13.4365 | 0.563542 |
138 | 11 | 13.0641 | -2.06406 |
139 | 15 | 14.2865 | 0.713476 |
140 | 13 | 14.175 | -1.17499 |
141 | 15 | 14.8475 | 0.152472 |
142 | 16 | 13.2399 | 2.76006 |
143 | 14 | 14.4568 | -0.456815 |
144 | 15 | 13.8643 | 1.13567 |
145 | 16 | 14.138 | 1.86196 |
146 | 16 | 14.1444 | 1.85563 |
147 | 11 | 13.3097 | -2.30967 |
148 | 12 | 14.415 | -2.41503 |
149 | 9 | 11.2539 | -2.25388 |
150 | 16 | 14.5983 | 1.40171 |
151 | 13 | 12.2006 | 0.799357 |
152 | 16 | 15.7429 | 0.257128 |
153 | 12 | 14.0882 | -2.08817 |
154 | 9 | 11.1805 | -2.18048 |
155 | 13 | 11.4961 | 1.50392 |
156 | 13 | 12.8442 | 0.155782 |
157 | 14 | 13.1598 | 0.840167 |
158 | 19 | 14.3529 | 4.6471 |
159 | 13 | 15.0111 | -2.01105 |
160 | 12 | 11.387 | 0.613022 |
161 | 13 | 12.4164 | 0.583646 |
162 | 10 | 9.88718 | 0.112825 |
163 | 14 | 12.915 | 1.08501 |
164 | 16 | 11.4442 | 4.55575 |
165 | 10 | 11.609 | -1.60902 |
166 | 11 | 9.12675 | 1.87325 |
167 | 14 | 14.1119 | -0.111899 |
168 | 12 | 12.5882 | -0.588182 |
169 | 9 | 12.3541 | -3.35407 |
170 | 9 | 11.6157 | -2.61573 |
171 | 11 | 10.3564 | 0.643638 |
172 | 16 | 14.018 | 1.98195 |
173 | 9 | 13.8942 | -4.89418 |
174 | 13 | 12.2736 | 0.726431 |
175 | 16 | 13.3132 | 2.68681 |
176 | 13 | 15.5309 | -2.53087 |
177 | 9 | 12.0722 | -3.0722 |
178 | 12 | 11.2334 | 0.766633 |
179 | 16 | 14.8358 | 1.16416 |
180 | 11 | 12.8178 | -1.81784 |
181 | 14 | 14.4928 | -0.492796 |
182 | 13 | 14.6861 | -1.6861 |
183 | 15 | 14.3911 | 0.608909 |
184 | 14 | 14.6406 | -0.640574 |
185 | 16 | 13.7358 | 2.26416 |
186 | 13 | 12.1195 | 0.880486 |
187 | 14 | 13.3255 | 0.67447 |
188 | 15 | 14.0822 | 0.917792 |
189 | 13 | 12.6237 | 0.376323 |
190 | 11 | 10.0081 | 0.9919 |
191 | 11 | 13.672 | -2.67204 |
192 | 14 | 14.68 | -0.679959 |
193 | 15 | 12.5136 | 2.48637 |
194 | 11 | 12.3593 | -1.35925 |
195 | 15 | 12.6699 | 2.33006 |
196 | 12 | 13.8654 | -1.86537 |
197 | 14 | 11.2887 | 2.71125 |
198 | 14 | 13.6565 | 0.343523 |
199 | 8 | 11.0592 | -3.05918 |
200 | 13 | 13.8827 | -0.882743 |
201 | 9 | 11.8259 | -2.82593 |
202 | 15 | 13.6084 | 1.39159 |
203 | 17 | 14.1387 | 2.86126 |
204 | 13 | 12.6509 | 0.349141 |
205 | 15 | 14.2843 | 0.715674 |
206 | 15 | 13.3939 | 1.60612 |
207 | 14 | 13.7104 | 0.28956 |
208 | 16 | 12.6902 | 3.3098 |
209 | 13 | 12.8441 | 0.155869 |
210 | 16 | 14.6741 | 1.32594 |
211 | 9 | 11.6473 | -2.64727 |
212 | 16 | 14.5253 | 1.47472 |
213 | 11 | 11.4137 | -0.413684 |
214 | 10 | 13.3079 | -3.30791 |
215 | 11 | 12.1799 | -1.17992 |
216 | 15 | 13.0439 | 1.95605 |
217 | 17 | 14.4045 | 2.59547 |
218 | 14 | 13.6742 | 0.325784 |
219 | 8 | 9.50228 | -1.50228 |
220 | 15 | 12.9946 | 2.00537 |
221 | 11 | 13.731 | -2.73095 |
222 | 16 | 14.6063 | 1.39366 |
223 | 10 | 11.819 | -1.81895 |
224 | 15 | 15.0783 | -0.078304 |
225 | 9 | 10.0206 | -1.02062 |
226 | 16 | 13.9444 | 2.05561 |
227 | 19 | 14.2719 | 4.72812 |
228 | 12 | 13.512 | -1.51205 |
229 | 8 | 9.17958 | -1.17958 |
230 | 11 | 13.059 | -2.05895 |
231 | 14 | 13.3091 | 0.69087 |
232 | 9 | 11.747 | -2.74705 |
233 | 15 | 15.0843 | -0.0842812 |
234 | 13 | 12.9041 | 0.0958537 |
235 | 16 | 14.7562 | 1.24377 |
236 | 11 | 13.0194 | -2.01944 |
237 | 12 | 10.7994 | 1.20061 |
238 | 13 | 13.0497 | -0.0496982 |
239 | 10 | 14.3592 | -4.35919 |
240 | 11 | 13.1407 | -2.14069 |
241 | 12 | 14.2466 | -2.24658 |
242 | 8 | 10.6706 | -2.67063 |
243 | 12 | 11.4049 | 0.595054 |
244 | 12 | 11.8982 | 0.10184 |
245 | 15 | 13.0054 | 1.99455 |
246 | 11 | 11.159 | -0.158955 |
247 | 13 | 12.4564 | 0.543602 |
248 | 14 | 9.38214 | 4.61786 |
249 | 10 | 9.99635 | 0.00365142 |
250 | 12 | 11.5848 | 0.415196 |
251 | 15 | 12.7923 | 2.20768 |
252 | 13 | 11.1316 | 1.86843 |
253 | 13 | 13.8876 | -0.887551 |
254 | 13 | 13.243 | -0.242969 |
255 | 12 | 11.2317 | 0.768304 |
256 | 12 | 12.3155 | -0.315538 |
257 | 9 | 10.344 | -1.34405 |
258 | 9 | 12.0352 | -3.03519 |
259 | 15 | 12.3552 | 2.64481 |
260 | 10 | 14.7156 | -4.71559 |
261 | 14 | 13.4583 | 0.541728 |
262 | 15 | 13.2911 | 1.70886 |
263 | 7 | 9.69258 | -2.69258 |
264 | 14 | 13.3294 | 0.670573 |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
20 | 0.80596 | 0.388079 | 0.19404 |
21 | 0.913524 | 0.172952 | 0.0864761 |
22 | 0.888156 | 0.223688 | 0.111844 |
23 | 0.865006 | 0.269987 | 0.134994 |
24 | 0.962777 | 0.0744457 | 0.0372228 |
25 | 0.97351 | 0.0529807 | 0.0264903 |
26 | 0.999736 | 0.000528755 | 0.000264377 |
27 | 0.999578 | 0.000844653 | 0.000422326 |
28 | 0.999374 | 0.00125179 | 0.000625897 |
29 | 0.998866 | 0.00226729 | 0.00113364 |
30 | 0.999584 | 0.000832772 | 0.000416386 |
31 | 0.999441 | 0.00111745 | 0.000558725 |
32 | 0.999007 | 0.00198687 | 0.000993436 |
33 | 0.998484 | 0.00303106 | 0.00151553 |
34 | 0.998127 | 0.0037465 | 0.00187325 |
35 | 0.996934 | 0.00613128 | 0.00306564 |
36 | 0.995183 | 0.00963391 | 0.00481695 |
37 | 0.993051 | 0.0138985 | 0.00694925 |
38 | 0.991699 | 0.0166015 | 0.00830075 |
39 | 0.991255 | 0.0174901 | 0.00874505 |
40 | 0.988378 | 0.0232439 | 0.0116219 |
41 | 0.98468 | 0.0306407 | 0.0153203 |
42 | 0.982625 | 0.034751 | 0.0173755 |
43 | 0.976153 | 0.0476942 | 0.0238471 |
44 | 0.971192 | 0.0576168 | 0.0288084 |
45 | 0.961847 | 0.0763061 | 0.0381531 |
46 | 0.958214 | 0.0835715 | 0.0417857 |
47 | 0.945595 | 0.10881 | 0.0544051 |
48 | 0.93063 | 0.13874 | 0.0693698 |
49 | 0.973157 | 0.053687 | 0.0268435 |
50 | 0.966143 | 0.0677147 | 0.0338573 |
51 | 0.957077 | 0.0858456 | 0.0429228 |
52 | 0.951284 | 0.097432 | 0.048716 |
53 | 0.946512 | 0.106976 | 0.053488 |
54 | 0.947625 | 0.10475 | 0.0523752 |
55 | 0.941951 | 0.116099 | 0.0580493 |
56 | 0.939199 | 0.121602 | 0.0608011 |
57 | 0.92947 | 0.14106 | 0.07053 |
58 | 0.917904 | 0.164191 | 0.0820957 |
59 | 0.926411 | 0.147178 | 0.0735888 |
60 | 0.916842 | 0.166316 | 0.0831579 |
61 | 0.92143 | 0.157141 | 0.0785703 |
62 | 0.906236 | 0.187528 | 0.0937642 |
63 | 0.92107 | 0.15786 | 0.0789302 |
64 | 0.915161 | 0.169677 | 0.0848387 |
65 | 0.900474 | 0.199053 | 0.0995263 |
66 | 0.958331 | 0.0833384 | 0.0416692 |
67 | 0.950938 | 0.098125 | 0.0490625 |
68 | 0.950594 | 0.0988116 | 0.0494058 |
69 | 0.941668 | 0.116664 | 0.0583322 |
70 | 0.948252 | 0.103497 | 0.0517483 |
71 | 0.941418 | 0.117164 | 0.0585818 |
72 | 0.95424 | 0.09152 | 0.04576 |
73 | 0.950813 | 0.0983745 | 0.0491872 |
74 | 0.940481 | 0.119039 | 0.0595193 |
75 | 0.930703 | 0.138594 | 0.069297 |
76 | 0.919497 | 0.161005 | 0.0805026 |
77 | 0.928901 | 0.142197 | 0.0710986 |
78 | 0.919299 | 0.161402 | 0.0807008 |
79 | 0.918651 | 0.162698 | 0.0813488 |
80 | 0.922817 | 0.154366 | 0.0771828 |
81 | 0.908399 | 0.183202 | 0.091601 |
82 | 0.894319 | 0.211361 | 0.105681 |
83 | 0.895879 | 0.208243 | 0.104121 |
84 | 0.879518 | 0.240963 | 0.120482 |
85 | 0.864184 | 0.271632 | 0.135816 |
86 | 0.853573 | 0.292854 | 0.146427 |
87 | 0.830054 | 0.339892 | 0.169946 |
88 | 0.80497 | 0.390061 | 0.19503 |
89 | 0.874329 | 0.251342 | 0.125671 |
90 | 0.898054 | 0.203892 | 0.101946 |
91 | 0.880708 | 0.238584 | 0.119292 |
92 | 0.863349 | 0.273302 | 0.136651 |
93 | 0.843933 | 0.312134 | 0.156067 |
94 | 0.824954 | 0.350092 | 0.175046 |
95 | 0.80894 | 0.38212 | 0.19106 |
96 | 0.786028 | 0.427944 | 0.213972 |
97 | 0.764048 | 0.471905 | 0.235952 |
98 | 0.780908 | 0.438183 | 0.219092 |
99 | 0.752129 | 0.495741 | 0.247871 |
100 | 0.751225 | 0.49755 | 0.248775 |
101 | 0.729304 | 0.541392 | 0.270696 |
102 | 0.701665 | 0.596669 | 0.298335 |
103 | 0.756784 | 0.486431 | 0.243216 |
104 | 0.746559 | 0.506882 | 0.253441 |
105 | 0.764926 | 0.470147 | 0.235074 |
106 | 0.755308 | 0.489384 | 0.244692 |
107 | 0.746731 | 0.506537 | 0.253269 |
108 | 0.782187 | 0.435627 | 0.217813 |
109 | 0.754149 | 0.491703 | 0.245851 |
110 | 0.738472 | 0.523056 | 0.261528 |
111 | 0.732505 | 0.534989 | 0.267495 |
112 | 0.734631 | 0.530737 | 0.265369 |
113 | 0.710291 | 0.579418 | 0.289709 |
114 | 0.763394 | 0.473212 | 0.236606 |
115 | 0.743236 | 0.513528 | 0.256764 |
116 | 0.711959 | 0.576082 | 0.288041 |
117 | 0.688179 | 0.623642 | 0.311821 |
118 | 0.665511 | 0.668977 | 0.334489 |
119 | 0.633212 | 0.733577 | 0.366788 |
120 | 0.602158 | 0.795683 | 0.397842 |
121 | 0.579944 | 0.840113 | 0.420056 |
122 | 0.545413 | 0.909174 | 0.454587 |
123 | 0.512751 | 0.974498 | 0.487249 |
124 | 0.482233 | 0.964465 | 0.517767 |
125 | 0.475529 | 0.951059 | 0.524471 |
126 | 0.443241 | 0.886483 | 0.556759 |
127 | 0.426058 | 0.852116 | 0.573942 |
128 | 0.522461 | 0.955078 | 0.477539 |
129 | 0.506939 | 0.986122 | 0.493061 |
130 | 0.496162 | 0.992324 | 0.503838 |
131 | 0.483733 | 0.967465 | 0.516267 |
132 | 0.446865 | 0.89373 | 0.553135 |
133 | 0.456793 | 0.913585 | 0.543207 |
134 | 0.427451 | 0.854902 | 0.572549 |
135 | 0.467326 | 0.934653 | 0.532674 |
136 | 0.454315 | 0.908631 | 0.545685 |
137 | 0.420358 | 0.840716 | 0.579642 |
138 | 0.424804 | 0.849608 | 0.575196 |
139 | 0.390909 | 0.781817 | 0.609091 |
140 | 0.370275 | 0.740549 | 0.629725 |
141 | 0.339932 | 0.679865 | 0.660068 |
142 | 0.362379 | 0.724758 | 0.637621 |
143 | 0.330517 | 0.661035 | 0.669483 |
144 | 0.307355 | 0.61471 | 0.692645 |
145 | 0.296252 | 0.592503 | 0.703748 |
146 | 0.286418 | 0.572836 | 0.713582 |
147 | 0.299894 | 0.599787 | 0.700106 |
148 | 0.325582 | 0.651164 | 0.674418 |
149 | 0.33664 | 0.673281 | 0.66336 |
150 | 0.317566 | 0.635131 | 0.682434 |
151 | 0.288327 | 0.576654 | 0.711673 |
152 | 0.256926 | 0.513852 | 0.743074 |
153 | 0.260411 | 0.520821 | 0.739589 |
154 | 0.271142 | 0.542283 | 0.728858 |
155 | 0.253415 | 0.50683 | 0.746585 |
156 | 0.22395 | 0.447901 | 0.77605 |
157 | 0.20077 | 0.40154 | 0.79923 |
158 | 0.338 | 0.675999 | 0.662 |
159 | 0.347757 | 0.695515 | 0.652243 |
160 | 0.314791 | 0.629582 | 0.685209 |
161 | 0.285808 | 0.571616 | 0.714192 |
162 | 0.256284 | 0.512568 | 0.743716 |
163 | 0.230954 | 0.461908 | 0.769046 |
164 | 0.346518 | 0.693036 | 0.653482 |
165 | 0.332257 | 0.664515 | 0.667743 |
166 | 0.321128 | 0.642255 | 0.678872 |
167 | 0.287267 | 0.574535 | 0.712733 |
168 | 0.258737 | 0.517474 | 0.741263 |
169 | 0.307264 | 0.614528 | 0.692736 |
170 | 0.31683 | 0.63366 | 0.68317 |
171 | 0.283228 | 0.566456 | 0.716772 |
172 | 0.274816 | 0.549631 | 0.725184 |
173 | 0.449324 | 0.898648 | 0.550676 |
174 | 0.411848 | 0.823696 | 0.588152 |
175 | 0.428147 | 0.856294 | 0.571853 |
176 | 0.447744 | 0.895488 | 0.552256 |
177 | 0.489782 | 0.979564 | 0.510218 |
178 | 0.4516 | 0.903199 | 0.5484 |
179 | 0.419978 | 0.839955 | 0.580022 |
180 | 0.414139 | 0.828279 | 0.585861 |
181 | 0.381089 | 0.762178 | 0.618911 |
182 | 0.364904 | 0.729807 | 0.635096 |
183 | 0.328629 | 0.657259 | 0.671371 |
184 | 0.303504 | 0.607008 | 0.696496 |
185 | 0.299732 | 0.599464 | 0.700268 |
186 | 0.268867 | 0.537733 | 0.731133 |
187 | 0.237611 | 0.475222 | 0.762389 |
188 | 0.208909 | 0.417817 | 0.791091 |
189 | 0.1805 | 0.361 | 0.8195 |
190 | 0.157938 | 0.315877 | 0.842062 |
191 | 0.178339 | 0.356678 | 0.821661 |
192 | 0.159365 | 0.31873 | 0.840635 |
193 | 0.166065 | 0.332131 | 0.833935 |
194 | 0.147406 | 0.294813 | 0.852594 |
195 | 0.142999 | 0.285997 | 0.857001 |
196 | 0.149465 | 0.298929 | 0.850535 |
197 | 0.17034 | 0.340679 | 0.82966 |
198 | 0.143914 | 0.287828 | 0.856086 |
199 | 0.162972 | 0.325944 | 0.837028 |
200 | 0.140685 | 0.281371 | 0.859315 |
201 | 0.173613 | 0.347226 | 0.826387 |
202 | 0.15184 | 0.303679 | 0.84816 |
203 | 0.165572 | 0.331144 | 0.834428 |
204 | 0.138189 | 0.276378 | 0.861811 |
205 | 0.115568 | 0.231136 | 0.884432 |
206 | 0.114373 | 0.228747 | 0.885627 |
207 | 0.0937865 | 0.187573 | 0.906213 |
208 | 0.112384 | 0.224768 | 0.887616 |
209 | 0.0951229 | 0.190246 | 0.904877 |
210 | 0.0847627 | 0.169525 | 0.915237 |
211 | 0.0912045 | 0.182409 | 0.908796 |
212 | 0.0796714 | 0.159343 | 0.920329 |
213 | 0.0639548 | 0.12791 | 0.936045 |
214 | 0.114003 | 0.228006 | 0.885997 |
215 | 0.103111 | 0.206221 | 0.896889 |
216 | 0.0965976 | 0.193195 | 0.903402 |
217 | 0.108813 | 0.217626 | 0.891187 |
218 | 0.0952243 | 0.190449 | 0.904776 |
219 | 0.0951194 | 0.190239 | 0.904881 |
220 | 0.0938925 | 0.187785 | 0.906108 |
221 | 0.0976827 | 0.195365 | 0.902317 |
222 | 0.0946055 | 0.189211 | 0.905394 |
223 | 0.11779 | 0.23558 | 0.88221 |
224 | 0.0922046 | 0.184409 | 0.907795 |
225 | 0.0973293 | 0.194659 | 0.902671 |
226 | 0.0821006 | 0.164201 | 0.917899 |
227 | 0.343413 | 0.686826 | 0.656587 |
228 | 0.310399 | 0.620798 | 0.689601 |
229 | 0.270997 | 0.541993 | 0.729003 |
230 | 0.222922 | 0.445844 | 0.777078 |
231 | 0.175397 | 0.350793 | 0.824603 |
232 | 0.18225 | 0.3645 | 0.81775 |
233 | 0.141075 | 0.282149 | 0.858925 |
234 | 0.114305 | 0.22861 | 0.885695 |
235 | 0.0862962 | 0.172592 | 0.913704 |
236 | 0.0744709 | 0.148942 | 0.925529 |
237 | 0.0590191 | 0.118038 | 0.940981 |
238 | 0.0387831 | 0.0775662 | 0.961217 |
239 | 0.157307 | 0.314613 | 0.842693 |
240 | 0.364593 | 0.729187 | 0.635407 |
241 | 0.323414 | 0.646829 | 0.676586 |
242 | 0.295663 | 0.591325 | 0.704337 |
243 | 0.190596 | 0.381191 | 0.809404 |
244 | 0.145959 | 0.291918 | 0.854041 |
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
Description | # significant tests | % significant tests | OK/NOK |
1% type I error level | 11 | 0.0488889 | NOK |
5% type I error level | 18 | 0.08 | NOK |
10% type I error level | 33 | 0.146667 | NOK |