Multiple Linear Regression - Estimated Regression Equation |
SOMIVBH [t] = + 12.4174 -0.273014TVDC1[t] + 0.578048TVDC2[t] -0.128915TVDC3[t] + 0.280259TVDC4[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) | +12.42 | 1.543 | +8.0490e+00 | 1.649e-13 | 8.243e-14 |
TVDC1 | -0.273 | 0.2241 | -1.2180e+00 | 0.2249 | 0.1125 |
TVDC2 | +0.578 | 0.3414 | +1.6930e+00 | 0.09232 | 0.04616 |
TVDC3 | -0.1289 | 0.2875 | -4.4840e-01 | 0.6544 | 0.3272 |
TVDC4 | +0.2803 | 0.2826 | +9.9170e-01 | 0.3228 | 0.1614 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.184 |
R-squared | 0.03385 |
Adjusted R-squared | 0.01015 |
F-TEST (value) | 1.428 |
F-TEST (DF numerator) | 4 |
F-TEST (DF denominator) | 163 |
p-value | 0.227 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 2.08 |
Sum Squared Residuals | 705.3 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 11 | 13.51 | -2.514 |
2 | 11 | 13.69 | -2.69 |
3 | 15 | 14.41 | 0.5882 |
4 | 15 | 13.96 | 1.037 |
5 | 13 | 14.24 | -1.243 |
6 | 14 | 12.98 | 1.017 |
7 | 13 | 13.54 | -0.5432 |
8 | 15 | 13.83 | 1.166 |
9 | 14 | 14.11 | -0.114 |
10 | 15 | 13.56 | 1.439 |
11 | 10 | 13.56 | -3.561 |
12 | 11 | 13.96 | -2.963 |
13 | 16 | 14.24 | 1.757 |
14 | 17 | 13.38 | 3.615 |
15 | 14 | 14.24 | -0.2429 |
16 | 13 | 13.56 | -0.5607 |
17 | 10 | 14.24 | -4.243 |
18 | 13 | 14.52 | -1.516 |
19 | 17 | 14.11 | 2.886 |
20 | 18 | 13.69 | 4.31 |
21 | 17 | 13.96 | 3.037 |
22 | 11 | 13.69 | -2.69 |
23 | 15 | 13.96 | 1.037 |
24 | 12 | 14.11 | -2.114 |
25 | 15 | 13.53 | 1.471 |
26 | 15 | 14.24 | 0.7571 |
27 | 12 | 13.96 | -1.963 |
28 | 19 | 13.83 | 5.166 |
29 | 13 | 13.83 | -0.8337 |
30 | 15 | 14.36 | 0.6354 |
31 | 13 | 13.26 | -0.2557 |
32 | 10 | 13.97 | -3.97 |
33 | 14 | 13.55 | 0.4465 |
34 | 12 | 12.81 | -0.8066 |
35 | 15 | 13.56 | 1.439 |
36 | 13 | 13.96 | -0.9627 |
37 | 18 | 13.94 | 4.062 |
38 | 15 | 14.79 | 0.2111 |
39 | 11 | 13.84 | -2.841 |
40 | 14 | 13.96 | 0.03735 |
41 | 11 | 13.56 | -2.561 |
42 | 14 | 13.51 | 0.4865 |
43 | 9 | 13.83 | -4.834 |
44 | 13 | 13.96 | -0.9627 |
45 | 13 | 14.11 | -1.107 |
46 | 12 | 13.83 | -1.834 |
47 | 17 | 13.96 | 3.037 |
48 | 16 | 14.36 | 1.635 |
49 | 15 | 13.79 | 1.213 |
50 | 16 | 13.56 | 2.439 |
51 | 16 | 14.14 | 1.861 |
52 | 13 | 14.55 | -1.548 |
53 | 13 | 14.06 | -1.06 |
54 | 12 | 14.24 | -2.236 |
55 | 11 | 14.51 | -3.509 |
56 | 13 | 13.96 | -0.9627 |
57 | 15 | 14.27 | 0.7323 |
58 | 13 | 14.24 | -1.243 |
59 | 14 | 13.96 | 0.03735 |
60 | 13 | 13.56 | -0.5607 |
61 | 15 | 13.69 | 1.31 |
62 | 14 | 14.54 | -0.5407 |
63 | 14 | 13.69 | 0.3104 |
64 | 13 | 13.96 | -0.9627 |
65 | 11 | 12.53 | -1.526 |
66 | 14 | 13.56 | 0.4393 |
67 | 17 | 14.24 | 2.764 |
68 | 15 | 14.79 | 0.2111 |
69 | 15 | 13.69 | 1.31 |
70 | 13 | 13.96 | -0.9627 |
71 | 12 | 13.96 | -1.963 |
72 | 14 | 14.09 | -0.09156 |
73 | 11 | 13.66 | -2.658 |
74 | 14 | 14.55 | -0.5479 |
75 | 18 | 13.96 | 4.037 |
76 | 15 | 12.98 | 2.017 |
77 | 18 | 14.24 | 3.764 |
78 | 16 | 15.07 | 0.9308 |
79 | 12 | 13.56 | -1.561 |
80 | 14 | 13.83 | 0.1663 |
81 | 14 | 14.33 | -0.3326 |
82 | 14 | 13.83 | 0.1663 |
83 | 14 | 13.97 | 0.03011 |
84 | 13 | 14.11 | -1.114 |
85 | 12 | 14.7 | -2.699 |
86 | 13 | 14.11 | -1.114 |
87 | 15 | 13.84 | 1.159 |
88 | 13 | 13.96 | -0.9627 |
89 | 14 | 13.97 | 0.03011 |
90 | 15 | 13.95 | 1.053 |
91 | 13 | 13.96 | -0.9627 |
92 | 14 | 14.41 | -0.4118 |
93 | 17 | 13.83 | 3.166 |
94 | 15 | 14.41 | 0.5882 |
95 | 13 | 13.96 | -0.9627 |
96 | 14 | 14.24 | -0.2429 |
97 | 17 | 15.1 | 1.899 |
98 | 8 | 13.84 | -5.841 |
99 | 15 | 13.69 | 1.31 |
100 | 10 | 14.24 | -4.243 |
101 | 15 | 14.11 | 0.886 |
102 | 15 | 13.96 | 1.037 |
103 | 14 | 14.51 | -0.5087 |
104 | 15 | 13.96 | 1.037 |
105 | 18 | 14.11 | 3.886 |
106 | 14 | 14.24 | -0.2429 |
107 | 19 | 13.83 | 5.166 |
108 | 16 | 13.96 | 2.037 |
109 | 17 | 14.24 | 2.757 |
110 | 18 | 14.24 | 3.757 |
111 | 13 | 14.09 | -1.092 |
112 | 10 | 13.96 | -3.963 |
113 | 14 | 13.79 | 0.2135 |
114 | 13 | 14.12 | -1.121 |
115 | 12 | 14.24 | -2.243 |
116 | 13 | 13.69 | -0.6896 |
117 | 12 | 14.11 | -2.114 |
118 | 13 | 13.69 | -0.6896 |
119 | 16 | 14.24 | 1.764 |
120 | 12 | 13.96 | -1.963 |
121 | 14 | 14.24 | -0.2357 |
122 | 17 | 14.24 | 2.757 |
123 | 14 | 13.96 | 0.03735 |
124 | 12 | 14.11 | -2.114 |
125 | 14 | 13.96 | 0.03735 |
126 | 17 | 13.69 | 3.31 |
127 | 13 | 13.83 | -0.8337 |
128 | 11 | 13.96 | -2.963 |
129 | 14 | 13.96 | 0.03735 |
130 | 11 | 14.06 | -3.06 |
131 | 17 | 14.24 | 2.757 |
132 | 15 | 15.1 | -0.1012 |
133 | 10 | 13.66 | -3.658 |
134 | 15 | 14.06 | 0.9405 |
135 | 16 | 14.24 | 1.757 |
136 | 17 | 14.39 | 2.606 |
137 | 15 | 13.79 | 1.213 |
138 | 12 | 13.96 | -1.963 |
139 | 15 | 14.42 | 0.581 |
140 | 10 | 14.41 | -4.412 |
141 | 13 | 13.66 | -0.6576 |
142 | 17 | 14.24 | 2.764 |
143 | 17 | 14.24 | 2.757 |
144 | 16 | 14.36 | 1.635 |
145 | 15 | 14.41 | 0.5882 |
146 | 16 | 14.79 | 1.211 |
147 | 16 | 14.42 | 1.581 |
148 | 15 | 13.38 | 1.615 |
149 | 16 | 14.24 | 1.757 |
150 | 14 | 13.79 | 0.2135 |
151 | 17 | 14.24 | 2.757 |
152 | 14 | 13.69 | 0.3104 |
153 | 12 | 13.96 | -1.963 |
154 | 15 | 14.64 | 0.3624 |
155 | 14 | 13.96 | 0.03735 |
156 | 15 | 13.56 | 1.439 |
157 | 14 | 14.09 | -0.09156 |
158 | 13 | 13.96 | -0.9627 |
159 | 16 | 13.84 | 2.159 |
160 | 13 | 13.96 | -0.9627 |
161 | 14 | 14.14 | -0.1388 |
162 | 13 | 14.52 | -1.516 |
163 | 13 | 13.96 | -0.9627 |
164 | 15 | 14.24 | 0.7571 |
165 | 13 | 13.66 | -0.6576 |
166 | 14 | 14.24 | -0.2429 |
167 | 13 | 14.09 | -1.092 |
168 | 12 | 14.8 | -2.796 |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
8 | 0.1417 | 0.2834 | 0.8583 |
9 | 0.08644 | 0.1729 | 0.9136 |
10 | 0.06396 | 0.1279 | 0.936 |
11 | 0.3277 | 0.6554 | 0.6723 |
12 | 0.35 | 0.6999 | 0.65 |
13 | 0.4566 | 0.9132 | 0.5434 |
14 | 0.562 | 0.876 | 0.438 |
15 | 0.4695 | 0.939 | 0.5305 |
16 | 0.3798 | 0.7595 | 0.6202 |
17 | 0.5213 | 0.9573 | 0.4787 |
18 | 0.5264 | 0.9472 | 0.4736 |
19 | 0.5385 | 0.923 | 0.4615 |
20 | 0.9019 | 0.1961 | 0.09805 |
21 | 0.9254 | 0.1492 | 0.07461 |
22 | 0.9184 | 0.1633 | 0.08163 |
23 | 0.8954 | 0.2093 | 0.1046 |
24 | 0.8977 | 0.2045 | 0.1023 |
25 | 0.8757 | 0.2486 | 0.1243 |
26 | 0.8558 | 0.2884 | 0.1442 |
27 | 0.8469 | 0.3063 | 0.1531 |
28 | 0.9297 | 0.1406 | 0.07028 |
29 | 0.9224 | 0.1552 | 0.07758 |
30 | 0.9015 | 0.197 | 0.0985 |
31 | 0.8873 | 0.2254 | 0.1127 |
32 | 0.9052 | 0.1897 | 0.09483 |
33 | 0.8882 | 0.2236 | 0.1118 |
34 | 0.8681 | 0.2637 | 0.1319 |
35 | 0.8504 | 0.2992 | 0.1496 |
36 | 0.8219 | 0.3562 | 0.1781 |
37 | 0.8825 | 0.2349 | 0.1175 |
38 | 0.8607 | 0.2786 | 0.1393 |
39 | 0.865 | 0.27 | 0.135 |
40 | 0.8338 | 0.3324 | 0.1662 |
41 | 0.8406 | 0.3187 | 0.1594 |
42 | 0.8111 | 0.3779 | 0.1889 |
43 | 0.9339 | 0.1321 | 0.06607 |
44 | 0.9189 | 0.1622 | 0.08111 |
45 | 0.9144 | 0.1712 | 0.08561 |
46 | 0.9096 | 0.1807 | 0.09037 |
47 | 0.931 | 0.138 | 0.06899 |
48 | 0.9207 | 0.1586 | 0.07928 |
49 | 0.9037 | 0.1925 | 0.09625 |
50 | 0.918 | 0.1639 | 0.08195 |
51 | 0.9226 | 0.1547 | 0.07735 |
52 | 0.9094 | 0.1812 | 0.0906 |
53 | 0.9041 | 0.1917 | 0.09586 |
54 | 0.91 | 0.1801 | 0.09003 |
55 | 0.9416 | 0.1168 | 0.05839 |
56 | 0.9291 | 0.1418 | 0.07089 |
57 | 0.9166 | 0.1668 | 0.08341 |
58 | 0.9017 | 0.1966 | 0.09832 |
59 | 0.8797 | 0.2405 | 0.1203 |
60 | 0.8562 | 0.2875 | 0.1438 |
61 | 0.8403 | 0.3195 | 0.1597 |
62 | 0.8117 | 0.3766 | 0.1883 |
63 | 0.7796 | 0.4407 | 0.2204 |
64 | 0.7508 | 0.4985 | 0.2492 |
65 | 0.7449 | 0.5103 | 0.2551 |
66 | 0.7082 | 0.5837 | 0.2918 |
67 | 0.7363 | 0.5274 | 0.2637 |
68 | 0.6985 | 0.6031 | 0.3015 |
69 | 0.6749 | 0.6502 | 0.3251 |
70 | 0.6411 | 0.7178 | 0.3589 |
71 | 0.6341 | 0.7318 | 0.3659 |
72 | 0.5907 | 0.8186 | 0.4093 |
73 | 0.618 | 0.7639 | 0.382 |
74 | 0.5764 | 0.8473 | 0.4236 |
75 | 0.6904 | 0.6193 | 0.3096 |
76 | 0.6862 | 0.6276 | 0.3138 |
77 | 0.7678 | 0.4643 | 0.2322 |
78 | 0.7428 | 0.5144 | 0.2572 |
79 | 0.7253 | 0.5495 | 0.2747 |
80 | 0.6866 | 0.6268 | 0.3134 |
81 | 0.6477 | 0.7046 | 0.3523 |
82 | 0.6053 | 0.7894 | 0.3947 |
83 | 0.5629 | 0.8743 | 0.4371 |
84 | 0.5291 | 0.9417 | 0.4709 |
85 | 0.5559 | 0.8883 | 0.4441 |
86 | 0.5232 | 0.9537 | 0.4768 |
87 | 0.4948 | 0.9896 | 0.5052 |
88 | 0.459 | 0.918 | 0.541 |
89 | 0.417 | 0.8341 | 0.583 |
90 | 0.3832 | 0.7664 | 0.6168 |
91 | 0.3495 | 0.699 | 0.6505 |
92 | 0.31 | 0.62 | 0.69 |
93 | 0.3643 | 0.7285 | 0.6358 |
94 | 0.3265 | 0.653 | 0.6735 |
95 | 0.2945 | 0.5889 | 0.7055 |
96 | 0.2582 | 0.5163 | 0.7418 |
97 | 0.2526 | 0.5052 | 0.7474 |
98 | 0.5622 | 0.8757 | 0.4378 |
99 | 0.5308 | 0.9384 | 0.4692 |
100 | 0.6865 | 0.627 | 0.3135 |
101 | 0.6517 | 0.6965 | 0.3483 |
102 | 0.6187 | 0.7626 | 0.3813 |
103 | 0.5766 | 0.8469 | 0.4234 |
104 | 0.542 | 0.9159 | 0.458 |
105 | 0.6451 | 0.7099 | 0.3549 |
106 | 0.6046 | 0.7909 | 0.3954 |
107 | 0.8416 | 0.3168 | 0.1584 |
108 | 0.8457 | 0.3087 | 0.1543 |
109 | 0.859 | 0.2819 | 0.1409 |
110 | 0.9057 | 0.1885 | 0.09426 |
111 | 0.8945 | 0.2109 | 0.1055 |
112 | 0.9428 | 0.1143 | 0.05716 |
113 | 0.9272 | 0.1457 | 0.07283 |
114 | 0.9269 | 0.1461 | 0.07306 |
115 | 0.9418 | 0.1165 | 0.05825 |
116 | 0.9314 | 0.1372 | 0.06859 |
117 | 0.9349 | 0.1301 | 0.06506 |
118 | 0.9247 | 0.1506 | 0.07532 |
119 | 0.9357 | 0.1286 | 0.06431 |
120 | 0.9351 | 0.1298 | 0.06489 |
121 | 0.9196 | 0.1608 | 0.08041 |
122 | 0.9232 | 0.1536 | 0.07678 |
123 | 0.9021 | 0.1959 | 0.09794 |
124 | 0.9101 | 0.1799 | 0.08995 |
125 | 0.8859 | 0.2282 | 0.1141 |
126 | 0.9102 | 0.1796 | 0.0898 |
127 | 0.8869 | 0.2262 | 0.1131 |
128 | 0.9143 | 0.1714 | 0.0857 |
129 | 0.8898 | 0.2203 | 0.1102 |
130 | 0.9116 | 0.1767 | 0.08837 |
131 | 0.916 | 0.168 | 0.084 |
132 | 0.9019 | 0.1963 | 0.09813 |
133 | 0.9554 | 0.08916 | 0.04458 |
134 | 0.9434 | 0.1132 | 0.05661 |
135 | 0.9305 | 0.1389 | 0.06945 |
136 | 0.9228 | 0.1543 | 0.07715 |
137 | 0.9033 | 0.1934 | 0.09668 |
138 | 0.905 | 0.19 | 0.09501 |
139 | 0.8747 | 0.2506 | 0.1253 |
140 | 0.9683 | 0.06348 | 0.03174 |
141 | 0.9582 | 0.08363 | 0.04182 |
142 | 0.974 | 0.05206 | 0.02603 |
143 | 0.9813 | 0.03742 | 0.01871 |
144 | 0.986 | 0.02792 | 0.01396 |
145 | 0.9782 | 0.04352 | 0.02176 |
146 | 0.9833 | 0.0335 | 0.01675 |
147 | 0.9793 | 0.04134 | 0.02067 |
148 | 0.9695 | 0.06098 | 0.03049 |
149 | 0.969 | 0.06193 | 0.03097 |
150 | 0.9517 | 0.09658 | 0.04829 |
151 | 0.9867 | 0.02656 | 0.01328 |
152 | 0.975 | 0.05 | 0.025 |
153 | 0.979 | 0.0419 | 0.02095 |
154 | 0.9998 | 0.0004979 | 0.0002489 |
155 | 0.9994 | 0.001202 | 0.0006011 |
156 | 0.9981 | 0.003877 | 0.001938 |
157 | 0.9962 | 0.007656 | 0.003828 |
158 | 0.9885 | 0.02296 | 0.01148 |
159 | 0.9651 | 0.06975 | 0.03487 |
160 | 0.909 | 0.182 | 0.091 |
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
Description | # significant tests | % significant tests | OK/NOK |
1% type I error level | 4 | 0.02614 | NOK |
5% type I error level | 13 | 0.0849673 | NOK |
10% type I error level | 21 | 0.137255 | NOK |
Ramsey RESET F-Test for powers (2 and 3) of fitted values |
> reset_test_fitted RESET test data: mylm RESET = 0.1889, df1 = 2, df2 = 161, p-value = 0.8281 |
Ramsey RESET F-Test for powers (2 and 3) of regressors |
> reset_test_regressors RESET test data: mylm RESET = 0.21683, df1 = 8, df2 = 155, p-value = 0.9875 |
Ramsey RESET F-Test for powers (2 and 3) of principal components |
> reset_test_principal_components RESET test data: mylm RESET = 0.43373, df1 = 2, df2 = 161, p-value = 0.6488 |
Variance Inflation Factors (Multicollinearity) |
> vif TVDC1 TVDC2 TVDC3 TVDC4 1.310090 1.223031 1.297079 1.081239 |