Multiple Linear Regression - Estimated Regression Equation |
Software[t] = + 1.66484 -0.0107895Connected[t] + 0.0377922Separate[t] + 0.575835Learning[t] -0.00393975Happiness[t] -0.0145268Depression[t] + 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) | 1.66484 | 1.70342 | 0.9773 | 0.329312 | 0.164656 |
Connected | -0.0107895 | 0.0336567 | -0.3206 | 0.748791 | 0.374395 |
Separate | 0.0377922 | 0.0345523 | 1.094 | 0.275076 | 0.137538 |
Learning | 0.575835 | 0.0488013 | 11.8 | 5.53114e-26 | 2.76557e-26 |
Happiness | -0.00393975 | 0.0561224 | -0.0702 | 0.944089 | 0.472045 |
Depression | -0.0145268 | 0.0402547 | -0.3609 | 0.718491 | 0.359245 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.626081 |
R-squared | 0.391977 |
Adjusted R-squared | 0.380194 |
F-TEST (value) | 33.2652 |
F-TEST (DF numerator) | 5 |
F-TEST (DF denominator) | 258 |
p-value | 0 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 1.82652 |
Sum Squared Residuals | 860.73 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 12 | 9.91495 | 2.08505 |
2 | 11 | 11.436 | -0.436049 |
3 | 15 | 13.358 | 1.64196 |
4 | 6 | 10.9934 | -4.99343 |
5 | 13 | 10.3899 | 2.6101 |
6 | 10 | 9.6238 | 0.376202 |
7 | 12 | 12.9817 | -0.981727 |
8 | 14 | 11.0811 | 2.91891 |
9 | 12 | 10.4565 | 1.54353 |
10 | 9 | 11.0913 | -2.09131 |
11 | 10 | 11.4275 | -1.42751 |
12 | 12 | 11.5836 | 0.416357 |
13 | 12 | 11.5336 | 0.466374 |
14 | 11 | 11.6271 | -0.627102 |
15 | 15 | 12.2801 | 2.71989 |
16 | 12 | 10.9457 | 1.05429 |
17 | 10 | 10.8648 | -0.864761 |
18 | 12 | 13.9809 | -1.98087 |
19 | 11 | 12.8448 | -1.84476 |
20 | 12 | 11.4904 | 0.509598 |
21 | 11 | 11.5712 | -0.571158 |
22 | 12 | 11.4686 | 0.531429 |
23 | 13 | 13.3915 | -0.391541 |
24 | 11 | 11.7022 | -0.702232 |
25 | 12 | 12.0158 | -0.0158242 |
26 | 13 | 12.0548 | 0.945183 |
27 | 10 | 11.5897 | -1.58967 |
28 | 14 | 11.0716 | 2.92844 |
29 | 12 | 11.5068 | 0.493182 |
30 | 10 | 10.3746 | -0.374643 |
31 | 12 | 10.9457 | 1.05433 |
32 | 8 | 9.22377 | -1.22377 |
33 | 10 | 10.2866 | -0.286632 |
34 | 12 | 11.6908 | 0.309223 |
35 | 12 | 10.2494 | 1.75055 |
36 | 7 | 8.14582 | -1.14582 |
37 | 9 | 7.95586 | 1.04414 |
38 | 12 | 10.3518 | 1.64817 |
39 | 10 | 11.5246 | -1.52462 |
40 | 10 | 11.5512 | -1.55123 |
41 | 10 | 11.4985 | -1.4985 |
42 | 12 | 10.3404 | 1.65958 |
43 | 15 | 13.8016 | 1.19836 |
44 | 10 | 10.3454 | -0.345387 |
45 | 10 | 10.1558 | -0.155819 |
46 | 12 | 8.69035 | 3.30965 |
47 | 13 | 10.6006 | 2.39941 |
48 | 11 | 11.0124 | -0.012355 |
49 | 11 | 11.641 | -0.641004 |
50 | 12 | 10.3149 | 1.68513 |
51 | 14 | 11.7607 | 2.23926 |
52 | 10 | 10.2565 | -0.2565 |
53 | 12 | 9.17192 | 2.82808 |
54 | 13 | 11.6968 | 1.30319 |
55 | 5 | 7.50437 | -2.50437 |
56 | 6 | 10.3803 | -4.38031 |
57 | 12 | 11.4905 | 0.50954 |
58 | 12 | 11.6604 | 0.339598 |
59 | 11 | 11.0711 | -0.0711273 |
60 | 10 | 11.5203 | -1.52032 |
61 | 7 | 8.9873 | -1.9873 |
62 | 12 | 11.5276 | 0.472405 |
63 | 14 | 11.6164 | 2.38357 |
64 | 11 | 10.4563 | 0.54375 |
65 | 12 | 11.435 | 0.56503 |
66 | 13 | 12.2755 | 0.724478 |
67 | 14 | 12.6739 | 1.32612 |
68 | 11 | 12.505 | -1.50498 |
69 | 12 | 9.41781 | 2.58219 |
70 | 12 | 11.6364 | 0.363593 |
71 | 8 | 8.1297 | -0.129702 |
72 | 11 | 10.5472 | 0.452779 |
73 | 14 | 12.889 | 1.11102 |
74 | 14 | 12.965 | 1.03501 |
75 | 12 | 11.3207 | 0.679265 |
76 | 9 | 11.8437 | -2.84372 |
77 | 13 | 11.6215 | 1.37852 |
78 | 11 | 11.3847 | -0.384743 |
79 | 12 | 9.7722 | 2.2278 |
80 | 12 | 11.3174 | 0.68258 |
81 | 12 | 11.6638 | 0.336225 |
82 | 12 | 11.709 | 0.290959 |
83 | 12 | 10.9129 | 1.08706 |
84 | 11 | 11.0086 | -0.00861774 |
85 | 10 | 11.4497 | -1.4497 |
86 | 9 | 10.5425 | -1.54248 |
87 | 12 | 11.5776 | 0.422397 |
88 | 12 | 11.5055 | 0.494464 |
89 | 12 | 10.8463 | 1.15371 |
90 | 9 | 9.34508 | -0.34508 |
91 | 15 | 12.0058 | 2.99416 |
92 | 12 | 11.8021 | 0.197897 |
93 | 12 | 10.7422 | 1.25778 |
94 | 12 | 9.73876 | 2.26124 |
95 | 10 | 11.5951 | -1.5951 |
96 | 13 | 11.522 | 1.47799 |
97 | 9 | 11.4572 | -2.45717 |
98 | 12 | 11.5372 | 0.462847 |
99 | 10 | 10.5374 | -0.537421 |
100 | 14 | 11.6165 | 2.38353 |
101 | 11 | 11.522 | -0.52201 |
102 | 15 | 13.9541 | 1.04593 |
103 | 11 | 10.8122 | 0.18785 |
104 | 11 | 11.7045 | -0.704517 |
105 | 12 | 9.617 | 2.383 |
106 | 12 | 12.1439 | -0.14393 |
107 | 12 | 11.6182 | 0.381799 |
108 | 11 | 11.5552 | -0.555205 |
109 | 7 | 9.31014 | -2.31014 |
110 | 12 | 11.577 | 0.423022 |
111 | 14 | 11.5296 | 2.47037 |
112 | 11 | 12.4472 | -1.44724 |
113 | 11 | 9.77951 | 1.22049 |
114 | 10 | 9.21535 | 0.784655 |
115 | 13 | 12.6317 | 0.368295 |
116 | 13 | 10.6236 | 2.37637 |
117 | 8 | 10.6274 | -2.62737 |
118 | 11 | 9.93147 | 1.06853 |
119 | 12 | 11.5557 | 0.44434 |
120 | 11 | 9.92777 | 1.07223 |
121 | 13 | 11.3056 | 1.69442 |
122 | 12 | 9.9957 | 2.0043 |
123 | 14 | 11.7398 | 2.26022 |
124 | 13 | 10.8666 | 2.13339 |
125 | 15 | 11.5799 | 3.42014 |
126 | 10 | 10.9077 | -0.907734 |
127 | 11 | 12.2409 | -1.24095 |
128 | 9 | 11.0722 | -2.07218 |
129 | 11 | 9.19642 | 1.80358 |
130 | 10 | 11.5691 | -1.56907 |
131 | 11 | 8.00444 | 2.99556 |
132 | 8 | 11.6406 | -3.64057 |
133 | 11 | 9.14031 | 1.85969 |
134 | 12 | 10.53 | 1.47 |
135 | 12 | 10.7867 | 1.21334 |
136 | 9 | 9.30256 | -0.302563 |
137 | 11 | 10.9997 | 0.000282898 |
138 | 10 | 8.7223 | 1.2777 |
139 | 8 | 9.26327 | -1.26327 |
140 | 9 | 8.76174 | 0.238262 |
141 | 8 | 11.6135 | -3.61351 |
142 | 9 | 11.1106 | -2.11058 |
143 | 15 | 12.2236 | 2.7764 |
144 | 11 | 11.1795 | -0.179528 |
145 | 8 | 7.94034 | 0.0596642 |
146 | 13 | 12.4676 | 0.532362 |
147 | 12 | 9.89061 | 2.10939 |
148 | 12 | 11.4974 | 0.502578 |
149 | 9 | 9.67095 | -0.670945 |
150 | 7 | 8.24973 | -1.24973 |
151 | 13 | 10.9493 | 2.05066 |
152 | 9 | 11.7537 | -2.75368 |
153 | 6 | 11.7529 | -5.75286 |
154 | 8 | 10.29 | -2.29 |
155 | 8 | 7.92599 | 0.0740057 |
156 | 15 | 12.0058 | 2.99416 |
157 | 6 | 9.94521 | -3.94521 |
158 | 9 | 11.0722 | -2.07218 |
159 | 11 | 11.5387 | -0.538749 |
160 | 8 | 9.35694 | -1.35694 |
161 | 8 | 9.86073 | -1.86073 |
162 | 10 | 9.45393 | 0.546065 |
163 | 8 | 8.96445 | -0.96445 |
164 | 14 | 11.9376 | 2.0624 |
165 | 10 | 11.1085 | -1.10854 |
166 | 8 | 7.92055 | 0.0794465 |
167 | 11 | 10.4205 | 0.579491 |
168 | 12 | 8.41265 | 3.58735 |
169 | 12 | 9.95207 | 2.04793 |
170 | 12 | 11.6883 | 0.311745 |
171 | 5 | 9.01333 | -4.01333 |
172 | 12 | 11.6507 | 0.349268 |
173 | 10 | 9.24544 | 0.754563 |
174 | 7 | 7.18109 | -0.181091 |
175 | 12 | 8.99273 | 3.00727 |
176 | 11 | 11.0979 | -0.0978698 |
177 | 8 | 9.1549 | -1.1549 |
178 | 9 | 9.07618 | -0.0761809 |
179 | 10 | 10.3553 | -0.355309 |
180 | 9 | 9.31646 | -0.316457 |
181 | 12 | 11.6353 | 0.364654 |
182 | 6 | 8.5732 | -2.5732 |
183 | 15 | 13.4129 | 1.58714 |
184 | 12 | 10.9013 | 1.09871 |
185 | 12 | 6.8695 | 5.1305 |
186 | 12 | 11.5662 | 0.433771 |
187 | 11 | 12.092 | -1.09202 |
188 | 7 | 9.09221 | -2.09221 |
189 | 7 | 8.50051 | -1.50051 |
190 | 5 | 8.66588 | -3.66588 |
191 | 12 | 10.5096 | 1.4904 |
192 | 12 | 11.7795 | 0.220538 |
193 | 3 | 9.19974 | -6.19974 |
194 | 11 | 11.6231 | -0.623113 |
195 | 10 | 9.75231 | 0.247691 |
196 | 12 | 11.1177 | 0.882342 |
197 | 9 | 11.3517 | -2.35175 |
198 | 12 | 11.6474 | 0.3526 |
199 | 9 | 10.3101 | -1.31009 |
200 | 12 | 11.567 | 0.433042 |
201 | 12 | 11.4059 | 0.594132 |
202 | 10 | 10.3679 | -0.36793 |
203 | 9 | 8.57697 | 0.423032 |
204 | 12 | 9.16277 | 2.83723 |
205 | 8 | 11.0124 | -3.01235 |
206 | 11 | 11.0481 | -0.0480964 |
207 | 11 | 11.6694 | -0.669401 |
208 | 12 | 11.5801 | 0.419851 |
209 | 10 | 8.60315 | 1.39685 |
210 | 10 | 10.9453 | -0.945307 |
211 | 12 | 9.17275 | 2.82725 |
212 | 12 | 9.57252 | 2.42748 |
213 | 11 | 11.1262 | -0.126177 |
214 | 8 | 10.9598 | -2.95978 |
215 | 12 | 11.533 | 0.466998 |
216 | 10 | 10.1213 | -0.121284 |
217 | 11 | 12.1939 | -1.19394 |
218 | 10 | 10.3612 | -0.361196 |
219 | 8 | 9.73389 | -1.73389 |
220 | 12 | 11.1254 | 0.874633 |
221 | 12 | 9.80255 | 2.19745 |
222 | 10 | 10.4397 | -0.43969 |
223 | 12 | 10.8693 | 1.13069 |
224 | 9 | 9.2599 | -0.259898 |
225 | 9 | 9.80385 | -0.80385 |
226 | 6 | 7.07847 | -1.07847 |
227 | 10 | 10.3668 | -0.366755 |
228 | 9 | 10.4338 | -1.43381 |
229 | 9 | 8.51369 | 0.486311 |
230 | 9 | 9.29856 | -0.298558 |
231 | 6 | 9.68814 | -3.68814 |
232 | 10 | 8.23535 | 1.76465 |
233 | 6 | 11.628 | -5.62803 |
234 | 14 | 12.5365 | 1.46353 |
235 | 10 | 9.79942 | 0.200576 |
236 | 10 | 8.53545 | 1.46455 |
237 | 6 | 4.4085 | 1.5915 |
238 | 12 | 9.5426 | 2.4574 |
239 | 12 | 11.5377 | 0.46233 |
240 | 7 | 7.94008 | -0.940084 |
241 | 8 | 9.30035 | -1.30035 |
242 | 11 | 9.21243 | 1.78757 |
243 | 3 | 7.89956 | -4.89956 |
244 | 6 | 9.7405 | -3.7405 |
245 | 10 | 10.8122 | -0.81224 |
246 | 8 | 9.25082 | -1.25082 |
247 | 9 | 10.4349 | -1.43487 |
248 | 9 | 7.85484 | 1.14516 |
249 | 8 | 8.83356 | -0.833562 |
250 | 9 | 8.82442 | 0.175582 |
251 | 7 | 8.68701 | -1.68701 |
252 | 7 | 7.97831 | -0.978313 |
253 | 6 | 9.26036 | -3.26036 |
254 | 9 | 11.4914 | -2.49143 |
255 | 10 | 9.12856 | 0.871442 |
256 | 11 | 10.3417 | 0.65835 |
257 | 12 | 11.5584 | 0.441641 |
258 | 8 | 10.3045 | -2.30447 |
259 | 11 | 9.75942 | 1.24058 |
260 | 3 | 4.5687 | -1.5687 |
261 | 11 | 10.9153 | 0.0846638 |
262 | 12 | 8.83487 | 3.16513 |
263 | 7 | 8.5808 | -1.5808 |
264 | 9 | 10.3935 | -1.39351 |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
9 | 0.906847 | 0.186306 | 0.0931528 |
10 | 0.988761 | 0.0224783 | 0.0112392 |
11 | 0.979004 | 0.0419926 | 0.0209963 |
12 | 0.962618 | 0.0747646 | 0.0373823 |
13 | 0.944173 | 0.111654 | 0.055827 |
14 | 0.938085 | 0.123829 | 0.0619147 |
15 | 0.923898 | 0.152204 | 0.0761021 |
16 | 0.895991 | 0.208017 | 0.104009 |
17 | 0.85349 | 0.29302 | 0.14651 |
18 | 0.863159 | 0.273682 | 0.136841 |
19 | 0.83247 | 0.335059 | 0.16753 |
20 | 0.780518 | 0.438964 | 0.219482 |
21 | 0.734657 | 0.530686 | 0.265343 |
22 | 0.687976 | 0.624048 | 0.312024 |
23 | 0.626428 | 0.747145 | 0.373572 |
24 | 0.580832 | 0.838336 | 0.419168 |
25 | 0.532502 | 0.934995 | 0.467498 |
26 | 0.58513 | 0.82974 | 0.41487 |
27 | 0.568497 | 0.863005 | 0.431503 |
28 | 0.588816 | 0.822367 | 0.411184 |
29 | 0.527978 | 0.944043 | 0.472022 |
30 | 0.48071 | 0.96142 | 0.51929 |
31 | 0.434253 | 0.868506 | 0.565747 |
32 | 0.477203 | 0.954407 | 0.522797 |
33 | 0.419535 | 0.83907 | 0.580465 |
34 | 0.363614 | 0.727227 | 0.636386 |
35 | 0.357749 | 0.715499 | 0.642251 |
36 | 0.356479 | 0.712958 | 0.643521 |
37 | 0.307702 | 0.615404 | 0.692298 |
38 | 0.294189 | 0.588379 | 0.705811 |
39 | 0.274638 | 0.549275 | 0.725362 |
40 | 0.25299 | 0.50598 | 0.74701 |
41 | 0.226071 | 0.452142 | 0.773929 |
42 | 0.208302 | 0.416604 | 0.791698 |
43 | 0.22501 | 0.450019 | 0.77499 |
44 | 0.191132 | 0.382265 | 0.808868 |
45 | 0.158344 | 0.316689 | 0.841656 |
46 | 0.202277 | 0.404554 | 0.797723 |
47 | 0.203122 | 0.406243 | 0.796878 |
48 | 0.170114 | 0.340227 | 0.829886 |
49 | 0.154377 | 0.308755 | 0.845623 |
50 | 0.144755 | 0.289511 | 0.855245 |
51 | 0.152379 | 0.304758 | 0.847621 |
52 | 0.12665 | 0.253299 | 0.87335 |
53 | 0.134244 | 0.268489 | 0.865756 |
54 | 0.114681 | 0.229362 | 0.885319 |
55 | 0.184911 | 0.369821 | 0.815089 |
56 | 0.42536 | 0.850719 | 0.57464 |
57 | 0.384741 | 0.769483 | 0.615259 |
58 | 0.343974 | 0.687947 | 0.656026 |
59 | 0.305387 | 0.610773 | 0.694613 |
60 | 0.300959 | 0.601919 | 0.699041 |
61 | 0.308592 | 0.617183 | 0.691408 |
62 | 0.273775 | 0.547551 | 0.726225 |
63 | 0.293025 | 0.58605 | 0.706975 |
64 | 0.25796 | 0.51592 | 0.74204 |
65 | 0.230586 | 0.461172 | 0.769414 |
66 | 0.201258 | 0.402517 | 0.798742 |
67 | 0.184399 | 0.368797 | 0.815601 |
68 | 0.164709 | 0.329417 | 0.835291 |
69 | 0.163087 | 0.326173 | 0.836913 |
70 | 0.139289 | 0.278579 | 0.860711 |
71 | 0.123122 | 0.246243 | 0.876878 |
72 | 0.104768 | 0.209536 | 0.895232 |
73 | 0.0898335 | 0.179667 | 0.910167 |
74 | 0.0760607 | 0.152121 | 0.923939 |
75 | 0.070097 | 0.140194 | 0.929903 |
76 | 0.0853431 | 0.170686 | 0.914657 |
77 | 0.0759817 | 0.151963 | 0.924018 |
78 | 0.0627186 | 0.125437 | 0.937281 |
79 | 0.0689426 | 0.137885 | 0.931057 |
80 | 0.063577 | 0.127154 | 0.936423 |
81 | 0.0523712 | 0.104742 | 0.947629 |
82 | 0.0429809 | 0.0859617 | 0.957019 |
83 | 0.0375405 | 0.0750811 | 0.962459 |
84 | 0.030336 | 0.060672 | 0.969664 |
85 | 0.0275628 | 0.0551255 | 0.972437 |
86 | 0.0310249 | 0.0620498 | 0.968975 |
87 | 0.0249395 | 0.049879 | 0.97506 |
88 | 0.0200597 | 0.0401194 | 0.97994 |
89 | 0.0171321 | 0.0342643 | 0.982868 |
90 | 0.0143548 | 0.0287095 | 0.985645 |
91 | 0.0236378 | 0.0472755 | 0.976362 |
92 | 0.0194464 | 0.0388928 | 0.980554 |
93 | 0.0180211 | 0.0360422 | 0.981979 |
94 | 0.0200854 | 0.0401708 | 0.979915 |
95 | 0.0196744 | 0.0393487 | 0.980326 |
96 | 0.0177436 | 0.0354873 | 0.982256 |
97 | 0.0216356 | 0.0432713 | 0.978364 |
98 | 0.0175041 | 0.0350082 | 0.982496 |
99 | 0.0147642 | 0.0295284 | 0.985236 |
100 | 0.0176543 | 0.0353085 | 0.982346 |
101 | 0.0145273 | 0.0290546 | 0.985473 |
102 | 0.0123705 | 0.0247409 | 0.98763 |
103 | 0.00972383 | 0.0194477 | 0.990276 |
104 | 0.00850674 | 0.0170135 | 0.991493 |
105 | 0.009725 | 0.01945 | 0.990275 |
106 | 0.00757629 | 0.0151526 | 0.992424 |
107 | 0.00592637 | 0.0118527 | 0.994074 |
108 | 0.00484316 | 0.00968632 | 0.995157 |
109 | 0.00721753 | 0.0144351 | 0.992782 |
110 | 0.00563703 | 0.0112741 | 0.994363 |
111 | 0.00674692 | 0.0134938 | 0.993253 |
112 | 0.00701595 | 0.0140319 | 0.992984 |
113 | 0.00594915 | 0.0118983 | 0.994051 |
114 | 0.00477324 | 0.00954648 | 0.995227 |
115 | 0.00371916 | 0.00743833 | 0.996281 |
116 | 0.00421962 | 0.00843923 | 0.99578 |
117 | 0.00663086 | 0.0132617 | 0.993369 |
118 | 0.00550078 | 0.0110016 | 0.994499 |
119 | 0.0043051 | 0.00861019 | 0.995695 |
120 | 0.00353324 | 0.00706647 | 0.996467 |
121 | 0.00342271 | 0.00684542 | 0.996577 |
122 | 0.0035735 | 0.00714701 | 0.996426 |
123 | 0.00420979 | 0.00841958 | 0.99579 |
124 | 0.00474781 | 0.00949563 | 0.995252 |
125 | 0.00905266 | 0.0181053 | 0.990947 |
126 | 0.00750976 | 0.0150195 | 0.99249 |
127 | 0.00637498 | 0.01275 | 0.993625 |
128 | 0.00705855 | 0.0141171 | 0.992941 |
129 | 0.00690824 | 0.0138165 | 0.993092 |
130 | 0.0067825 | 0.013565 | 0.993218 |
131 | 0.00872683 | 0.0174537 | 0.991273 |
132 | 0.0171592 | 0.0343183 | 0.982841 |
133 | 0.0165404 | 0.0330808 | 0.98346 |
134 | 0.0154301 | 0.0308601 | 0.98457 |
135 | 0.0135782 | 0.0271564 | 0.986422 |
136 | 0.0111558 | 0.0223117 | 0.988844 |
137 | 0.00889147 | 0.0177829 | 0.991109 |
138 | 0.00772244 | 0.0154449 | 0.992278 |
139 | 0.00709498 | 0.01419 | 0.992905 |
140 | 0.00573006 | 0.0114601 | 0.99427 |
141 | 0.0121694 | 0.0243389 | 0.987831 |
142 | 0.0135747 | 0.0271494 | 0.986425 |
143 | 0.0189581 | 0.0379162 | 0.981042 |
144 | 0.0152283 | 0.0304566 | 0.984772 |
145 | 0.0121105 | 0.0242209 | 0.98789 |
146 | 0.00985135 | 0.0197027 | 0.990149 |
147 | 0.0105435 | 0.021087 | 0.989456 |
148 | 0.00855109 | 0.0171022 | 0.991449 |
149 | 0.00716867 | 0.0143373 | 0.992831 |
150 | 0.00641365 | 0.0128273 | 0.993586 |
151 | 0.00702868 | 0.0140574 | 0.992971 |
152 | 0.00919668 | 0.0183934 | 0.990803 |
153 | 0.0575787 | 0.115157 | 0.942421 |
154 | 0.0650839 | 0.130168 | 0.934916 |
155 | 0.0549341 | 0.109868 | 0.945066 |
156 | 0.0758579 | 0.151716 | 0.924142 |
157 | 0.135056 | 0.270111 | 0.864944 |
158 | 0.138018 | 0.276036 | 0.861982 |
159 | 0.120287 | 0.240574 | 0.879713 |
160 | 0.113958 | 0.227915 | 0.886042 |
161 | 0.114974 | 0.229949 | 0.885026 |
162 | 0.101197 | 0.202394 | 0.898803 |
163 | 0.0902928 | 0.180586 | 0.909707 |
164 | 0.0985088 | 0.197018 | 0.901491 |
165 | 0.0888204 | 0.177641 | 0.91118 |
166 | 0.0758346 | 0.151669 | 0.924165 |
167 | 0.065061 | 0.130122 | 0.934939 |
168 | 0.108388 | 0.216776 | 0.891612 |
169 | 0.11142 | 0.22284 | 0.88858 |
170 | 0.096764 | 0.193528 | 0.903236 |
171 | 0.166964 | 0.333928 | 0.833036 |
172 | 0.146004 | 0.292008 | 0.853996 |
173 | 0.129124 | 0.258249 | 0.870876 |
174 | 0.111657 | 0.223315 | 0.888343 |
175 | 0.15028 | 0.300559 | 0.84972 |
176 | 0.129968 | 0.259936 | 0.870032 |
177 | 0.117512 | 0.235024 | 0.882488 |
178 | 0.100891 | 0.201781 | 0.899109 |
179 | 0.0859732 | 0.171946 | 0.914027 |
180 | 0.0724333 | 0.144867 | 0.927567 |
181 | 0.0612729 | 0.122546 | 0.938727 |
182 | 0.070341 | 0.140682 | 0.929659 |
183 | 0.0721459 | 0.144292 | 0.927854 |
184 | 0.066597 | 0.133194 | 0.933403 |
185 | 0.237545 | 0.47509 | 0.762455 |
186 | 0.214362 | 0.428723 | 0.785638 |
187 | 0.193201 | 0.386402 | 0.806799 |
188 | 0.201996 | 0.403993 | 0.798004 |
189 | 0.187862 | 0.375723 | 0.812138 |
190 | 0.268369 | 0.536738 | 0.731631 |
191 | 0.266605 | 0.533209 | 0.733395 |
192 | 0.235759 | 0.471517 | 0.764241 |
193 | 0.610321 | 0.779357 | 0.389679 |
194 | 0.573069 | 0.853861 | 0.426931 |
195 | 0.5362 | 0.9276 | 0.4638 |
196 | 0.509097 | 0.981807 | 0.490903 |
197 | 0.53539 | 0.92922 | 0.46461 |
198 | 0.498589 | 0.997178 | 0.501411 |
199 | 0.474016 | 0.948032 | 0.525984 |
200 | 0.462408 | 0.924816 | 0.537592 |
201 | 0.441972 | 0.883944 | 0.558028 |
202 | 0.417617 | 0.835234 | 0.582383 |
203 | 0.38023 | 0.76046 | 0.61977 |
204 | 0.455585 | 0.91117 | 0.544415 |
205 | 0.494321 | 0.988643 | 0.505679 |
206 | 0.451914 | 0.903827 | 0.548086 |
207 | 0.410164 | 0.820328 | 0.589836 |
208 | 0.371511 | 0.743023 | 0.628489 |
209 | 0.354295 | 0.70859 | 0.645705 |
210 | 0.317703 | 0.635405 | 0.682297 |
211 | 0.392844 | 0.785688 | 0.607156 |
212 | 0.419899 | 0.839797 | 0.580101 |
213 | 0.378665 | 0.75733 | 0.621335 |
214 | 0.39683 | 0.793659 | 0.60317 |
215 | 0.359848 | 0.719696 | 0.640152 |
216 | 0.323641 | 0.647283 | 0.676359 |
217 | 0.286274 | 0.572548 | 0.713726 |
218 | 0.247476 | 0.494952 | 0.752524 |
219 | 0.249828 | 0.499656 | 0.750172 |
220 | 0.228998 | 0.457995 | 0.771002 |
221 | 0.273474 | 0.546948 | 0.726526 |
222 | 0.233748 | 0.467496 | 0.766252 |
223 | 0.223952 | 0.447904 | 0.776048 |
224 | 0.197145 | 0.39429 | 0.802855 |
225 | 0.168669 | 0.337338 | 0.831331 |
226 | 0.140736 | 0.281473 | 0.859264 |
227 | 0.116927 | 0.233854 | 0.883073 |
228 | 0.0962019 | 0.192404 | 0.903798 |
229 | 0.0754967 | 0.150993 | 0.924503 |
230 | 0.0591118 | 0.118224 | 0.940888 |
231 | 0.0894233 | 0.178847 | 0.910577 |
232 | 0.111022 | 0.222045 | 0.888978 |
233 | 0.319299 | 0.638597 | 0.680701 |
234 | 0.277391 | 0.554781 | 0.722609 |
235 | 0.231225 | 0.46245 | 0.768775 |
236 | 0.226202 | 0.452403 | 0.773798 |
237 | 0.226045 | 0.45209 | 0.773955 |
238 | 0.308943 | 0.617886 | 0.691057 |
239 | 0.316253 | 0.632506 | 0.683747 |
240 | 0.268287 | 0.536574 | 0.731713 |
241 | 0.21845 | 0.436899 | 0.78155 |
242 | 0.304895 | 0.60979 | 0.695105 |
243 | 0.600987 | 0.798026 | 0.399013 |
244 | 0.736961 | 0.526079 | 0.263039 |
245 | 0.67624 | 0.64752 | 0.32376 |
246 | 0.63065 | 0.738699 | 0.36935 |
247 | 0.584012 | 0.831975 | 0.415988 |
248 | 0.50104 | 0.997919 | 0.49896 |
249 | 0.409064 | 0.818129 | 0.590936 |
250 | 0.425958 | 0.851915 | 0.574042 |
251 | 0.570246 | 0.859508 | 0.429754 |
252 | 0.739616 | 0.520769 | 0.260384 |
253 | 0.797592 | 0.404815 | 0.202408 |
254 | 0.842475 | 0.315051 | 0.157525 |
255 | 0.798054 | 0.403892 | 0.201946 |
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
Description | # significant tests | % significant tests | OK/NOK |
1% type I error level | 10 | 0.0404858 | NOK |
5% type I error level | 68 | 0.275304 | NOK |
10% type I error level | 74 | 0.299595 | NOK |