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
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-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 IndexActualsInterpolation
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-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
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 testsOK/NOK
1% type I error level5 0.03226NOK
5% type I error level180.116129NOK
10% type I error level230.148387NOK


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