Multiple Linear Regression - Estimated Regression Equation |
SOMIVBH [t] = + 12.1742 -0.310819TVDC1[t] + 0.554131TVDC2[t] + 0.264569TVDC4[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) | +12.17 | 1.441 | +8.4500e+00 | 1.501e-14 | 7.504e-15 |
TVDC1 | -0.3108 | 0.2072 | -1.5000e+00 | 0.1354 | 0.06771 |
TVDC2 | +0.5541 | 0.3364 | +1.6470e+00 | 0.1014 | 0.0507 |
TVDC4 | +0.2646 | 0.2798 | +9.4570e-01 | 0.3457 | 0.1728 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.1807 |
R-squared | 0.03266 |
Adjusted R-squared | 0.01497 |
F-TEST (value) | 1.846 |
F-TEST (DF numerator) | 3 |
F-TEST (DF denominator) | 164 |
p-value | 0.1409 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 2.075 |
Sum Squared Residuals | 706.1 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 11 | 13.39 | -2.387 |
2 | 11 | 13.63 | -2.63 |
3 | 15 | 14.5 | 0.5047 |
4 | 15 | 13.94 | 1.059 |
5 | 13 | 14.21 | -1.206 |
6 | 14 | 13.08 | 0.9238 |
7 | 13 | 13.61 | -0.6053 |
8 | 15 | 13.94 | 1.059 |
9 | 14 | 14.21 | -0.2057 |
10 | 15 | 13.63 | 1.37 |
11 | 10 | 13.63 | -3.63 |
12 | 11 | 13.94 | -2.941 |
13 | 16 | 14.21 | 1.794 |
14 | 17 | 13.39 | 3.613 |
15 | 14 | 14.21 | -0.2057 |
16 | 13 | 13.63 | -0.6303 |
17 | 10 | 14.21 | -4.206 |
18 | 13 | 14.52 | -1.517 |
19 | 17 | 14.21 | 2.794 |
20 | 18 | 13.63 | 4.37 |
21 | 17 | 13.94 | 3.059 |
22 | 11 | 13.63 | -2.63 |
23 | 15 | 13.94 | 1.059 |
24 | 12 | 14.21 | -2.206 |
25 | 15 | 13.7 | 1.302 |
26 | 15 | 14.21 | 0.7943 |
27 | 12 | 13.94 | -1.941 |
28 | 19 | 13.94 | 5.059 |
29 | 13 | 13.94 | -0.9411 |
30 | 15 | 14.25 | 0.748 |
31 | 13 | 13.39 | -0.387 |
32 | 10 | 13.89 | -3.895 |
33 | 14 | 13.68 | 0.3234 |
34 | 12 | 12.83 | -0.8329 |
35 | 15 | 13.63 | 1.37 |
36 | 13 | 13.94 | -0.9411 |
37 | 18 | 13.96 | 4.038 |
38 | 15 | 14.83 | 0.1726 |
39 | 11 | 13.89 | -2.895 |
40 | 14 | 13.94 | 0.05885 |
41 | 11 | 13.63 | -2.63 |
42 | 14 | 13.39 | 0.613 |
43 | 9 | 13.94 | -4.941 |
44 | 13 | 13.94 | -0.9411 |
45 | 13 | 14.25 | -1.252 |
46 | 12 | 13.94 | -1.941 |
47 | 17 | 13.94 | 3.059 |
48 | 16 | 14.25 | 1.748 |
49 | 15 | 13.7 | 1.302 |
50 | 16 | 13.63 | 2.37 |
51 | 16 | 14.18 | 1.816 |
52 | 13 | 14.45 | -1.449 |
53 | 13 | 14.01 | -1.009 |
54 | 12 | 14.25 | -2.252 |
55 | 11 | 14.56 | -3.563 |
56 | 13 | 13.94 | -0.9411 |
57 | 15 | 14.18 | 0.8155 |
58 | 13 | 14.21 | -1.206 |
59 | 14 | 13.94 | 0.05885 |
60 | 13 | 13.63 | -0.6303 |
61 | 15 | 13.63 | 1.37 |
62 | 14 | 14.5 | -0.4953 |
63 | 14 | 13.63 | 0.3697 |
64 | 13 | 13.94 | -0.9411 |
65 | 11 | 12.57 | -1.568 |
66 | 14 | 13.63 | 0.3697 |
67 | 17 | 14.25 | 2.748 |
68 | 15 | 14.83 | 0.1726 |
69 | 15 | 13.63 | 1.37 |
70 | 13 | 13.94 | -0.9411 |
71 | 12 | 13.94 | -1.941 |
72 | 14 | 13.94 | 0.05885 |
73 | 11 | 13.7 | -2.698 |
74 | 14 | 14.45 | -0.449 |
75 | 18 | 13.94 | 4.059 |
76 | 15 | 13.08 | 1.924 |
77 | 18 | 14.25 | 3.748 |
78 | 16 | 15.09 | 0.9081 |
79 | 12 | 13.63 | -1.63 |
80 | 14 | 13.94 | 0.05885 |
81 | 14 | 14.32 | -0.3195 |
82 | 14 | 13.94 | 0.05885 |
83 | 14 | 13.89 | 0.1051 |
84 | 13 | 14.21 | -1.206 |
85 | 12 | 14.71 | -2.714 |
86 | 13 | 14.21 | -1.206 |
87 | 15 | 13.89 | 1.105 |
88 | 13 | 13.94 | -0.9411 |
89 | 14 | 13.89 | 0.1051 |
90 | 15 | 13.63 | 1.37 |
91 | 13 | 13.94 | -0.9411 |
92 | 14 | 14.5 | -0.4953 |
93 | 17 | 13.94 | 3.059 |
94 | 15 | 14.5 | 0.5047 |
95 | 13 | 13.94 | -0.9411 |
96 | 14 | 14.21 | -0.2057 |
97 | 17 | 15.02 | 1.976 |
98 | 8 | 13.89 | -5.895 |
99 | 15 | 13.63 | 1.37 |
100 | 10 | 14.21 | -4.206 |
101 | 15 | 14.21 | 0.7943 |
102 | 15 | 13.94 | 1.059 |
103 | 14 | 14.56 | -0.5628 |
104 | 15 | 13.94 | 1.059 |
105 | 18 | 14.21 | 3.794 |
106 | 14 | 14.21 | -0.2057 |
107 | 19 | 13.94 | 5.059 |
108 | 16 | 13.94 | 2.059 |
109 | 17 | 14.21 | 2.794 |
110 | 18 | 14.21 | 3.794 |
111 | 13 | 13.94 | -0.9411 |
112 | 10 | 13.94 | -3.941 |
113 | 14 | 13.7 | 0.3022 |
114 | 13 | 14.16 | -1.159 |
115 | 12 | 14.21 | -2.206 |
116 | 13 | 13.63 | -0.6303 |
117 | 12 | 14.21 | -2.206 |
118 | 13 | 13.63 | -0.6303 |
119 | 16 | 14.25 | 1.748 |
120 | 12 | 13.94 | -1.941 |
121 | 14 | 14.25 | -0.252 |
122 | 17 | 14.21 | 2.794 |
123 | 14 | 13.94 | 0.05885 |
124 | 12 | 14.21 | -2.206 |
125 | 14 | 13.94 | 0.05885 |
126 | 17 | 13.63 | 3.37 |
127 | 13 | 13.94 | -0.9411 |
128 | 11 | 13.94 | -2.941 |
129 | 14 | 13.94 | 0.05885 |
130 | 11 | 14.01 | -3.009 |
131 | 17 | 14.21 | 2.794 |
132 | 15 | 15.02 | -0.02442 |
133 | 10 | 13.7 | -3.698 |
134 | 15 | 14.01 | 0.9913 |
135 | 16 | 14.21 | 1.794 |
136 | 17 | 14.47 | 2.53 |
137 | 15 | 13.7 | 1.302 |
138 | 12 | 13.94 | -1.941 |
139 | 15 | 14.45 | 0.551 |
140 | 10 | 14.5 | -4.495 |
141 | 13 | 13.7 | -0.6978 |
142 | 17 | 14.25 | 2.748 |
143 | 17 | 14.21 | 2.794 |
144 | 16 | 14.25 | 1.748 |
145 | 15 | 14.5 | 0.5047 |
146 | 16 | 14.83 | 1.173 |
147 | 16 | 14.45 | 1.551 |
148 | 15 | 13.39 | 1.613 |
149 | 16 | 14.21 | 1.794 |
150 | 14 | 13.7 | 0.3022 |
151 | 17 | 14.21 | 2.794 |
152 | 14 | 13.63 | 0.3697 |
153 | 12 | 13.94 | -1.941 |
154 | 15 | 14.56 | 0.4372 |
155 | 14 | 13.94 | 0.05885 |
156 | 15 | 13.63 | 1.37 |
157 | 14 | 13.94 | 0.05885 |
158 | 13 | 13.94 | -0.9411 |
159 | 16 | 13.89 | 2.105 |
160 | 13 | 13.94 | -0.9411 |
161 | 14 | 14.18 | -0.1845 |
162 | 13 | 14.52 | -1.517 |
163 | 13 | 13.94 | -0.9411 |
164 | 15 | 14.21 | 0.7943 |
165 | 13 | 13.7 | -0.6978 |
166 | 14 | 14.21 | -0.2057 |
167 | 13 | 13.94 | -0.9411 |
168 | 12 | 14.78 | -2.781 |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
7 | 0.6153 | 0.7693 | 0.3847 |
8 | 0.5172 | 0.9655 | 0.4828 |
9 | 0.3703 | 0.7406 | 0.6297 |
10 | 0.3137 | 0.6275 | 0.6863 |
11 | 0.5071 | 0.9858 | 0.4929 |
12 | 0.5556 | 0.8888 | 0.4444 |
13 | 0.5441 | 0.9118 | 0.4559 |
14 | 0.7013 | 0.5973 | 0.2987 |
15 | 0.6193 | 0.7615 | 0.3807 |
16 | 0.5378 | 0.9243 | 0.4622 |
17 | 0.719 | 0.5619 | 0.281 |
18 | 0.6784 | 0.6432 | 0.3216 |
19 | 0.7667 | 0.4665 | 0.2333 |
20 | 0.9077 | 0.1846 | 0.09229 |
21 | 0.9252 | 0.1496 | 0.07479 |
22 | 0.9317 | 0.1366 | 0.0683 |
23 | 0.9107 | 0.1786 | 0.0893 |
24 | 0.9018 | 0.1965 | 0.09824 |
25 | 0.8728 | 0.2544 | 0.1272 |
26 | 0.8474 | 0.3051 | 0.1526 |
27 | 0.8436 | 0.3129 | 0.1564 |
28 | 0.9426 | 0.1148 | 0.05741 |
29 | 0.9297 | 0.1405 | 0.07027 |
30 | 0.9083 | 0.1833 | 0.09166 |
31 | 0.8876 | 0.2248 | 0.1124 |
32 | 0.9136 | 0.1728 | 0.08638 |
33 | 0.8921 | 0.2158 | 0.1079 |
34 | 0.8762 | 0.2477 | 0.1238 |
35 | 0.8628 | 0.2744 | 0.1372 |
36 | 0.8397 | 0.3207 | 0.1603 |
37 | 0.8931 | 0.2139 | 0.1069 |
38 | 0.871 | 0.2581 | 0.129 |
39 | 0.8718 | 0.2565 | 0.1282 |
40 | 0.8421 | 0.3158 | 0.1579 |
41 | 0.8452 | 0.3096 | 0.1548 |
42 | 0.8128 | 0.3744 | 0.1872 |
43 | 0.9282 | 0.1437 | 0.07184 |
44 | 0.913 | 0.174 | 0.08701 |
45 | 0.9053 | 0.1893 | 0.09466 |
46 | 0.9001 | 0.1998 | 0.09992 |
47 | 0.9226 | 0.1548 | 0.07741 |
48 | 0.9119 | 0.1762 | 0.08809 |
49 | 0.8943 | 0.2115 | 0.1057 |
50 | 0.9095 | 0.1809 | 0.09048 |
51 | 0.9144 | 0.1713 | 0.08563 |
52 | 0.8992 | 0.2016 | 0.1008 |
53 | 0.8944 | 0.2112 | 0.1056 |
54 | 0.9011 | 0.1977 | 0.09886 |
55 | 0.9358 | 0.1284 | 0.06421 |
56 | 0.9225 | 0.1549 | 0.07746 |
57 | 0.9092 | 0.1815 | 0.09076 |
58 | 0.8933 | 0.2134 | 0.1067 |
59 | 0.8702 | 0.2595 | 0.1298 |
60 | 0.8462 | 0.3077 | 0.1538 |
61 | 0.8301 | 0.3397 | 0.1699 |
62 | 0.8005 | 0.3991 | 0.1995 |
63 | 0.7677 | 0.4646 | 0.2323 |
64 | 0.7381 | 0.5237 | 0.2619 |
65 | 0.7337 | 0.5326 | 0.2663 |
66 | 0.6962 | 0.6075 | 0.3038 |
67 | 0.7249 | 0.5502 | 0.2751 |
68 | 0.6866 | 0.6269 | 0.3134 |
69 | 0.6637 | 0.6725 | 0.3363 |
70 | 0.6297 | 0.7407 | 0.3703 |
71 | 0.6227 | 0.7546 | 0.3773 |
72 | 0.579 | 0.842 | 0.421 |
73 | 0.6094 | 0.7812 | 0.3906 |
74 | 0.5669 | 0.8662 | 0.4331 |
75 | 0.6839 | 0.6323 | 0.3161 |
76 | 0.6759 | 0.6481 | 0.3241 |
77 | 0.7586 | 0.4828 | 0.2414 |
78 | 0.7333 | 0.5335 | 0.2667 |
79 | 0.7183 | 0.5634 | 0.2817 |
80 | 0.6792 | 0.6416 | 0.3208 |
81 | 0.6402 | 0.7196 | 0.3598 |
82 | 0.5974 | 0.8052 | 0.4026 |
83 | 0.5548 | 0.8903 | 0.4452 |
84 | 0.524 | 0.9521 | 0.476 |
85 | 0.5509 | 0.8982 | 0.4491 |
86 | 0.5213 | 0.9574 | 0.4787 |
87 | 0.4921 | 0.9841 | 0.5079 |
88 | 0.4564 | 0.9128 | 0.5436 |
89 | 0.4146 | 0.8293 | 0.5854 |
90 | 0.3888 | 0.7776 | 0.6112 |
91 | 0.3549 | 0.7097 | 0.6451 |
92 | 0.316 | 0.6319 | 0.684 |
93 | 0.3627 | 0.7253 | 0.6373 |
94 | 0.3238 | 0.6476 | 0.6762 |
95 | 0.2919 | 0.5838 | 0.7081 |
96 | 0.2556 | 0.5113 | 0.7444 |
97 | 0.2542 | 0.5084 | 0.7458 |
98 | 0.575 | 0.85 | 0.425 |
99 | 0.5455 | 0.909 | 0.4545 |
100 | 0.698 | 0.604 | 0.302 |
101 | 0.6627 | 0.6746 | 0.3373 |
102 | 0.6307 | 0.7385 | 0.3693 |
103 | 0.5893 | 0.8214 | 0.4107 |
104 | 0.5557 | 0.8886 | 0.4443 |
105 | 0.648 | 0.704 | 0.352 |
106 | 0.6071 | 0.7857 | 0.3929 |
107 | 0.8109 | 0.3782 | 0.1891 |
108 | 0.8152 | 0.3696 | 0.1848 |
109 | 0.8345 | 0.3311 | 0.1655 |
110 | 0.8914 | 0.2171 | 0.1086 |
111 | 0.8713 | 0.2575 | 0.1287 |
112 | 0.9262 | 0.1476 | 0.07378 |
113 | 0.9082 | 0.1835 | 0.09176 |
114 | 0.9114 | 0.1772 | 0.08859 |
115 | 0.9242 | 0.1516 | 0.07579 |
116 | 0.9087 | 0.1825 | 0.09127 |
117 | 0.925 | 0.1499 | 0.07497 |
118 | 0.9107 | 0.1787 | 0.08934 |
119 | 0.9182 | 0.1637 | 0.08185 |
120 | 0.9164 | 0.1673 | 0.08364 |
121 | 0.8962 | 0.2076 | 0.1038 |
122 | 0.9043 | 0.1915 | 0.09573 |
123 | 0.88 | 0.24 | 0.12 |
124 | 0.9049 | 0.1901 | 0.09507 |
125 | 0.8802 | 0.2395 | 0.1198 |
126 | 0.9124 | 0.1752 | 0.08762 |
127 | 0.8926 | 0.2149 | 0.1074 |
128 | 0.9184 | 0.1632 | 0.08162 |
129 | 0.8951 | 0.2098 | 0.1049 |
130 | 0.9157 | 0.1685 | 0.08427 |
131 | 0.9223 | 0.1554 | 0.0777 |
132 | 0.904 | 0.1919 | 0.09597 |
133 | 0.9637 | 0.07267 | 0.03633 |
134 | 0.9536 | 0.0929 | 0.04645 |
135 | 0.9434 | 0.1133 | 0.05664 |
136 | 0.9354 | 0.1292 | 0.06461 |
137 | 0.9196 | 0.1608 | 0.08039 |
138 | 0.9213 | 0.1575 | 0.07873 |
139 | 0.8951 | 0.2098 | 0.1049 |
140 | 0.9765 | 0.04705 | 0.02353 |
141 | 0.9677 | 0.06467 | 0.03234 |
142 | 0.9817 | 0.03654 | 0.01827 |
143 | 0.9871 | 0.02582 | 0.01291 |
144 | 0.9893 | 0.02141 | 0.0107 |
145 | 0.9843 | 0.03133 | 0.01567 |
146 | 0.9895 | 0.02108 | 0.01054 |
147 | 0.9869 | 0.02611 | 0.01305 |
148 | 0.9804 | 0.03926 | 0.01963 |
149 | 0.9807 | 0.03859 | 0.0193 |
150 | 0.9693 | 0.06141 | 0.03071 |
151 | 0.9926 | 0.0149 | 0.007449 |
152 | 0.9856 | 0.02871 | 0.01435 |
153 | 0.9885 | 0.02301 | 0.0115 |
154 | 0.9999 | 0.0001447 | 7.235e-05 |
155 | 0.9998 | 0.000352 | 0.000176 |
156 | 0.9994 | 0.001164 | 0.0005819 |
157 | 0.9987 | 0.00262 | 0.00131 |
158 | 0.996 | 0.00807 | 0.004035 |
159 | 0.9869 | 0.02618 | 0.01309 |
160 | 0.9646 | 0.07089 | 0.03544 |
161 | 0.8995 | 0.201 | 0.1005 |
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
Description | # significant tests | % significant tests | OK/NOK |
1% type I error level | 5 | 0.03226 | NOK |
5% type I error level | 18 | 0.116129 | NOK |
10% type I error level | 23 | 0.148387 | NOK |
Ramsey RESET F-Test for powers (2 and 3) of fitted values |
> reset_test_fitted RESET test data: mylm RESET = 0.20154, df1 = 2, df2 = 162, p-value = 0.8177 |
Ramsey RESET F-Test for powers (2 and 3) of regressors |
> reset_test_regressors RESET test data: mylm RESET = 0.23888, df1 = 6, df2 = 158, p-value = 0.9631 |
Ramsey RESET F-Test for powers (2 and 3) of principal components |
> reset_test_principal_components RESET test data: mylm RESET = 0.42503, df1 = 2, df2 = 162, p-value = 0.6545 |
Variance Inflation Factors (Multicollinearity) |
> vif TVDC1 TVDC2 TVDC4 1.124710 1.193178 1.064665 |