Multiple Linear Regression - Estimated Regression Equation |
SOMIVBH [t] = + 12.7877 -0.318131TVDC1[t] + 0.6312TVDC2[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) | +12.79 | 1.286 | +9.9440e+00 | 1.509e-18 | 7.543e-19 |
TVDC1 | -0.3181 | 0.2069 | -1.5370e+00 | 0.1261 | 0.06307 |
TVDC2 | +0.6312 | 0.3262 | +1.9350e+00 | 0.05474 | 0.02737 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.1655 |
R-squared | 0.02739 |
Adjusted R-squared | 0.0156 |
F-TEST (value) | 2.323 |
F-TEST (DF numerator) | 2 |
F-TEST (DF denominator) | 165 |
p-value | 0.1012 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 2.074 |
Sum Squared Residuals | 710 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 11 | 13.41 | -2.409 |
2 | 11 | 13.72 | -2.722 |
3 | 15 | 14.67 | 0.3288 |
4 | 15 | 14.04 | 0.96 |
5 | 13 | 14.04 | -1.04 |
6 | 14 | 13.09 | 0.9093 |
7 | 13 | 13.09 | -0.09068 |
8 | 15 | 14.04 | 0.96 |
9 | 14 | 14.04 | -0.04001 |
10 | 15 | 13.72 | 1.278 |
11 | 10 | 13.72 | -3.722 |
12 | 11 | 14.04 | -3.04 |
13 | 16 | 14.04 | 1.96 |
14 | 17 | 13.41 | 3.591 |
15 | 14 | 14.04 | -0.04001 |
16 | 13 | 13.72 | -0.7219 |
17 | 10 | 14.04 | -4.04 |
18 | 13 | 14.36 | -1.358 |
19 | 17 | 14.04 | 2.96 |
20 | 18 | 13.72 | 4.278 |
21 | 17 | 14.04 | 2.96 |
22 | 11 | 13.72 | -2.722 |
23 | 15 | 14.04 | 0.96 |
24 | 12 | 14.04 | -2.04 |
25 | 15 | 13.73 | 1.273 |
26 | 15 | 14.04 | 0.96 |
27 | 12 | 14.04 | -2.04 |
28 | 19 | 14.04 | 4.96 |
29 | 13 | 14.04 | -1.04 |
30 | 15 | 14.36 | 0.6419 |
31 | 13 | 13.41 | -0.4088 |
32 | 10 | 13.72 | -3.722 |
33 | 14 | 14.04 | -0.04001 |
34 | 12 | 12.78 | -0.7776 |
35 | 15 | 13.72 | 1.278 |
36 | 13 | 14.04 | -1.04 |
37 | 18 | 13.73 | 4.273 |
38 | 15 | 14.68 | 0.3237 |
39 | 11 | 13.72 | -2.722 |
40 | 14 | 14.04 | -0.04001 |
41 | 11 | 13.72 | -2.722 |
42 | 14 | 13.41 | 0.5912 |
43 | 9 | 14.04 | -5.04 |
44 | 13 | 14.04 | -1.04 |
45 | 13 | 14.36 | -1.358 |
46 | 12 | 14.04 | -2.04 |
47 | 17 | 14.04 | 2.96 |
48 | 16 | 14.36 | 1.642 |
49 | 15 | 13.73 | 1.273 |
50 | 16 | 13.72 | 2.278 |
51 | 16 | 14.35 | 1.647 |
52 | 13 | 14.35 | -1.353 |
53 | 13 | 14.05 | -1.045 |
54 | 12 | 14.36 | -2.358 |
55 | 11 | 14.68 | -3.676 |
56 | 13 | 14.04 | -1.04 |
57 | 15 | 14.35 | 0.6469 |
58 | 13 | 14.04 | -1.04 |
59 | 14 | 14.04 | -0.04001 |
60 | 13 | 13.72 | -0.7219 |
61 | 15 | 13.72 | 1.278 |
62 | 14 | 14.67 | -0.6712 |
63 | 14 | 13.72 | 0.2781 |
64 | 13 | 14.04 | -1.04 |
65 | 11 | 12.78 | -1.778 |
66 | 14 | 13.72 | 0.2781 |
67 | 17 | 14.36 | 2.642 |
68 | 15 | 14.68 | 0.3237 |
69 | 15 | 13.72 | 1.278 |
70 | 13 | 14.04 | -1.04 |
71 | 12 | 14.04 | -2.04 |
72 | 14 | 14.04 | -0.04001 |
73 | 11 | 13.73 | -2.727 |
74 | 14 | 14.35 | -0.3531 |
75 | 18 | 14.04 | 3.96 |
76 | 15 | 13.09 | 1.909 |
77 | 18 | 14.36 | 3.642 |
78 | 16 | 14.68 | 1.324 |
79 | 12 | 13.72 | -1.722 |
80 | 14 | 14.04 | -0.04001 |
81 | 14 | 14.36 | -0.3632 |
82 | 14 | 14.04 | -0.04001 |
83 | 14 | 13.72 | 0.2781 |
84 | 13 | 14.04 | -1.04 |
85 | 12 | 14.35 | -2.353 |
86 | 13 | 14.04 | -1.04 |
87 | 15 | 13.72 | 1.278 |
88 | 13 | 14.04 | -1.04 |
89 | 14 | 13.72 | 0.2781 |
90 | 15 | 13.72 | 1.278 |
91 | 13 | 14.04 | -1.04 |
92 | 14 | 14.67 | -0.6712 |
93 | 17 | 14.04 | 2.96 |
94 | 15 | 14.67 | 0.3288 |
95 | 13 | 14.04 | -1.04 |
96 | 14 | 14.04 | -0.04001 |
97 | 17 | 14.67 | 2.329 |
98 | 8 | 13.72 | -5.722 |
99 | 15 | 13.72 | 1.278 |
100 | 10 | 14.04 | -4.04 |
101 | 15 | 14.04 | 0.96 |
102 | 15 | 14.04 | 0.96 |
103 | 14 | 14.68 | -0.6763 |
104 | 15 | 14.04 | 0.96 |
105 | 18 | 14.04 | 3.96 |
106 | 14 | 14.04 | -0.04001 |
107 | 19 | 14.04 | 4.96 |
108 | 16 | 14.04 | 1.96 |
109 | 17 | 14.04 | 2.96 |
110 | 18 | 14.04 | 3.96 |
111 | 13 | 14.04 | -1.04 |
112 | 10 | 14.04 | -4.04 |
113 | 14 | 13.73 | 0.2731 |
114 | 13 | 13.72 | -0.7219 |
115 | 12 | 14.04 | -2.04 |
116 | 13 | 13.72 | -0.7219 |
117 | 12 | 14.04 | -2.04 |
118 | 13 | 13.72 | -0.7219 |
119 | 16 | 14.36 | 1.642 |
120 | 12 | 14.04 | -2.04 |
121 | 14 | 14.36 | -0.3581 |
122 | 17 | 14.04 | 2.96 |
123 | 14 | 14.04 | -0.04001 |
124 | 12 | 14.04 | -2.04 |
125 | 14 | 14.04 | -0.04001 |
126 | 17 | 13.72 | 3.278 |
127 | 13 | 14.04 | -1.04 |
128 | 11 | 14.04 | -3.04 |
129 | 14 | 14.04 | -0.04001 |
130 | 11 | 14.05 | -3.045 |
131 | 17 | 14.04 | 2.96 |
132 | 15 | 14.67 | 0.3288 |
133 | 10 | 13.73 | -3.727 |
134 | 15 | 14.05 | 0.9549 |
135 | 16 | 14.04 | 1.96 |
136 | 17 | 14.04 | 2.96 |
137 | 15 | 13.73 | 1.273 |
138 | 12 | 14.04 | -2.04 |
139 | 15 | 14.35 | 0.6469 |
140 | 10 | 14.67 | -4.671 |
141 | 13 | 13.73 | -0.7269 |
142 | 17 | 14.36 | 2.642 |
143 | 17 | 14.04 | 2.96 |
144 | 16 | 14.36 | 1.642 |
145 | 15 | 14.67 | 0.3288 |
146 | 16 | 14.68 | 1.324 |
147 | 16 | 14.35 | 1.647 |
148 | 15 | 13.41 | 1.591 |
149 | 16 | 14.04 | 1.96 |
150 | 14 | 13.73 | 0.2731 |
151 | 17 | 14.04 | 2.96 |
152 | 14 | 13.72 | 0.2781 |
153 | 12 | 14.04 | -2.04 |
154 | 15 | 14.68 | 0.3237 |
155 | 14 | 14.04 | -0.04001 |
156 | 15 | 13.72 | 1.278 |
157 | 14 | 14.04 | -0.04001 |
158 | 13 | 14.04 | -1.04 |
159 | 16 | 13.72 | 2.278 |
160 | 13 | 14.04 | -1.04 |
161 | 14 | 14.35 | -0.3531 |
162 | 13 | 14.36 | -1.358 |
163 | 13 | 14.04 | -1.04 |
164 | 15 | 14.04 | 0.96 |
165 | 13 | 13.73 | -0.7269 |
166 | 14 | 14.04 | -0.04001 |
167 | 13 | 14.04 | -1.04 |
168 | 12 | 14.36 | -2.358 |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
6 | 0.6025 | 0.7951 | 0.3976 |
7 | 0.4577 | 0.9153 | 0.5423 |
8 | 0.3752 | 0.7504 | 0.6248 |
9 | 0.2543 | 0.5086 | 0.7457 |
10 | 0.2131 | 0.4262 | 0.7869 |
11 | 0.4063 | 0.8126 | 0.5937 |
12 | 0.4747 | 0.9495 | 0.5253 |
13 | 0.5045 | 0.9909 | 0.4955 |
14 | 0.6315 | 0.7369 | 0.3685 |
15 | 0.5462 | 0.9077 | 0.4538 |
16 | 0.4649 | 0.9298 | 0.5351 |
17 | 0.6571 | 0.6857 | 0.3429 |
18 | 0.6177 | 0.7646 | 0.3823 |
19 | 0.7129 | 0.5742 | 0.2871 |
20 | 0.8796 | 0.2409 | 0.1204 |
21 | 0.905 | 0.1899 | 0.09496 |
22 | 0.9126 | 0.1748 | 0.08739 |
23 | 0.8893 | 0.2214 | 0.1107 |
24 | 0.883 | 0.234 | 0.117 |
25 | 0.8524 | 0.2952 | 0.1476 |
26 | 0.8216 | 0.3568 | 0.1784 |
27 | 0.8142 | 0.3717 | 0.1858 |
28 | 0.9329 | 0.1343 | 0.06715 |
29 | 0.9171 | 0.1657 | 0.08287 |
30 | 0.8932 | 0.2137 | 0.1068 |
31 | 0.8685 | 0.2629 | 0.1315 |
32 | 0.9037 | 0.1926 | 0.0963 |
33 | 0.8775 | 0.245 | 0.1225 |
34 | 0.8574 | 0.2852 | 0.1426 |
35 | 0.8453 | 0.3094 | 0.1547 |
36 | 0.8191 | 0.3618 | 0.1809 |
37 | 0.8749 | 0.2502 | 0.1251 |
38 | 0.8525 | 0.295 | 0.1475 |
39 | 0.856 | 0.2879 | 0.144 |
40 | 0.8242 | 0.3515 | 0.1758 |
41 | 0.827 | 0.3461 | 0.173 |
42 | 0.7929 | 0.4143 | 0.2071 |
43 | 0.916 | 0.1679 | 0.08397 |
44 | 0.8991 | 0.2017 | 0.1009 |
45 | 0.8902 | 0.2195 | 0.1098 |
46 | 0.8848 | 0.2303 | 0.1152 |
47 | 0.9101 | 0.1797 | 0.08986 |
48 | 0.8981 | 0.2039 | 0.1019 |
49 | 0.8787 | 0.2426 | 0.1213 |
50 | 0.8961 | 0.2077 | 0.1039 |
51 | 0.9012 | 0.1977 | 0.09883 |
52 | 0.8843 | 0.2313 | 0.1157 |
53 | 0.8777 | 0.2445 | 0.1223 |
54 | 0.8855 | 0.2289 | 0.1145 |
55 | 0.9255 | 0.149 | 0.07451 |
56 | 0.9112 | 0.1777 | 0.08885 |
57 | 0.8965 | 0.207 | 0.1035 |
58 | 0.8786 | 0.2427 | 0.1214 |
59 | 0.8538 | 0.2923 | 0.1462 |
60 | 0.8283 | 0.3433 | 0.1717 |
61 | 0.8112 | 0.3776 | 0.1888 |
62 | 0.7816 | 0.4369 | 0.2184 |
63 | 0.7475 | 0.5051 | 0.2525 |
64 | 0.7176 | 0.5649 | 0.2824 |
65 | 0.7112 | 0.5776 | 0.2888 |
66 | 0.6726 | 0.6549 | 0.3274 |
67 | 0.6999 | 0.6002 | 0.3001 |
68 | 0.6605 | 0.6791 | 0.3395 |
69 | 0.636 | 0.728 | 0.364 |
70 | 0.6026 | 0.7948 | 0.3974 |
71 | 0.5983 | 0.8034 | 0.4017 |
72 | 0.5544 | 0.8911 | 0.4456 |
73 | 0.5856 | 0.8288 | 0.4144 |
74 | 0.5426 | 0.9148 | 0.4574 |
75 | 0.657 | 0.686 | 0.343 |
76 | 0.6488 | 0.7024 | 0.3512 |
77 | 0.7299 | 0.5403 | 0.2701 |
78 | 0.7075 | 0.5849 | 0.2925 |
79 | 0.6956 | 0.6089 | 0.3044 |
80 | 0.6555 | 0.689 | 0.3445 |
81 | 0.6157 | 0.7687 | 0.3843 |
82 | 0.5725 | 0.855 | 0.4275 |
83 | 0.5295 | 0.941 | 0.4705 |
84 | 0.4961 | 0.9922 | 0.5039 |
85 | 0.5087 | 0.9826 | 0.4913 |
86 | 0.4756 | 0.9511 | 0.5244 |
87 | 0.4472 | 0.8945 | 0.5528 |
88 | 0.4146 | 0.8293 | 0.5854 |
89 | 0.3729 | 0.7458 | 0.6271 |
90 | 0.3457 | 0.6915 | 0.6543 |
91 | 0.3157 | 0.6314 | 0.6843 |
92 | 0.2818 | 0.5637 | 0.7182 |
93 | 0.3195 | 0.639 | 0.6805 |
94 | 0.2819 | 0.5639 | 0.7181 |
95 | 0.2547 | 0.5093 | 0.7453 |
96 | 0.2201 | 0.4402 | 0.7799 |
97 | 0.2267 | 0.4535 | 0.7733 |
98 | 0.5132 | 0.9736 | 0.4868 |
99 | 0.4808 | 0.9615 | 0.5192 |
100 | 0.6144 | 0.7713 | 0.3856 |
101 | 0.5778 | 0.8445 | 0.4222 |
102 | 0.5403 | 0.9193 | 0.4597 |
103 | 0.4973 | 0.9945 | 0.5027 |
104 | 0.4593 | 0.9187 | 0.5407 |
105 | 0.5699 | 0.8602 | 0.4301 |
106 | 0.5244 | 0.9513 | 0.4756 |
107 | 0.7205 | 0.5591 | 0.2795 |
108 | 0.7139 | 0.5722 | 0.2861 |
109 | 0.752 | 0.496 | 0.248 |
110 | 0.8412 | 0.3176 | 0.1588 |
111 | 0.8187 | 0.3626 | 0.1813 |
112 | 0.8981 | 0.2038 | 0.1019 |
113 | 0.8754 | 0.2491 | 0.1246 |
114 | 0.8557 | 0.2886 | 0.1443 |
115 | 0.8583 | 0.2835 | 0.1417 |
116 | 0.8385 | 0.323 | 0.1615 |
117 | 0.8431 | 0.3138 | 0.1569 |
118 | 0.8247 | 0.3506 | 0.1753 |
119 | 0.8197 | 0.3605 | 0.1803 |
120 | 0.8271 | 0.3459 | 0.1729 |
121 | 0.7929 | 0.4142 | 0.2071 |
122 | 0.8235 | 0.3529 | 0.1765 |
123 | 0.7885 | 0.4231 | 0.2115 |
124 | 0.7969 | 0.4062 | 0.2031 |
125 | 0.7586 | 0.4828 | 0.2414 |
126 | 0.7892 | 0.4217 | 0.2108 |
127 | 0.7636 | 0.4728 | 0.2364 |
128 | 0.8257 | 0.3487 | 0.1743 |
129 | 0.7893 | 0.4214 | 0.2107 |
130 | 0.827 | 0.346 | 0.173 |
131 | 0.8547 | 0.2906 | 0.1453 |
132 | 0.821 | 0.3579 | 0.179 |
133 | 0.9218 | 0.1565 | 0.07823 |
134 | 0.9013 | 0.1974 | 0.09872 |
135 | 0.8939 | 0.2122 | 0.1061 |
136 | 0.9179 | 0.1642 | 0.08208 |
137 | 0.8976 | 0.2049 | 0.1024 |
138 | 0.9075 | 0.1849 | 0.09246 |
139 | 0.8814 | 0.2371 | 0.1186 |
140 | 0.9794 | 0.04111 | 0.02056 |
141 | 0.9723 | 0.05537 | 0.02769 |
142 | 0.9813 | 0.03741 | 0.01871 |
143 | 0.9894 | 0.0211 | 0.01055 |
144 | 0.9896 | 0.02071 | 0.01036 |
145 | 0.9835 | 0.03294 | 0.01647 |
146 | 0.9897 | 0.02063 | 0.01031 |
147 | 0.9886 | 0.02273 | 0.01137 |
148 | 0.9828 | 0.03437 | 0.01718 |
149 | 0.9862 | 0.02754 | 0.01377 |
150 | 0.9774 | 0.04523 | 0.02262 |
151 | 0.9961 | 0.007745 | 0.003873 |
152 | 0.9923 | 0.01539 | 0.007695 |
153 | 0.9943 | 0.01149 | 0.005745 |
154 | 0.9999 | 0.0002568 | 0.0001284 |
155 | 0.9996 | 0.0007541 | 0.0003771 |
156 | 0.9989 | 0.002178 | 0.001089 |
157 | 0.997 | 0.005961 | 0.00298 |
158 | 0.9941 | 0.01183 | 0.005915 |
159 | 0.991 | 0.01805 | 0.009023 |
160 | 0.9798 | 0.04032 | 0.02016 |
161 | 0.9466 | 0.1069 | 0.05344 |
162 | 0.8907 | 0.2185 | 0.1093 |
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
Description | # significant tests | % significant tests | OK/NOK |
1% type I error level | 5 | 0.03185 | NOK |
5% type I error level | 20 | 0.127389 | NOK |
10% type I error level | 21 | 0.133758 | NOK |
Ramsey RESET F-Test for powers (2 and 3) of fitted values |
> reset_test_fitted RESET test data: mylm RESET = 0.06001, df1 = 2, df2 = 163, p-value = 0.9418 |
Ramsey RESET F-Test for powers (2 and 3) of regressors |
> reset_test_regressors RESET test data: mylm RESET = 0.35289, df1 = 4, df2 = 161, p-value = 0.8417 |
Ramsey RESET F-Test for powers (2 and 3) of principal components |
> reset_test_principal_components RESET test data: mylm RESET = 0.2836, df1 = 2, df2 = 163, p-value = 0.7534 |
Variance Inflation Factors (Multicollinearity) |
> vif TVDC1 TVDC2 1.123144 1.123144 |