The result of multiple linear regression | ||||
Dependent Variable: LNY | ||||
Method: Least Squares | ||||
Date: 01/18/17 | Time: 22:50 | |||
Sample: 1995 2015 | ||||
Included observation: 21 | ||||
Variable | Coefficient | Std. Error | Prob. | |
C | 3.774821 | 0.076497 | 0.0000 | |
LNX1 | −0.145914 | 0.006380 | 0.0000 | |
LNX2 | −0.648086 | 0.099974 | 0.0000 | |
X3 | −0.008792 | 0.005556 | 0.1331 | |
X4 | −0.007093 | 0.002064 | 0.0034 | |
R-squared | 0.980339 | Mean dependent var | 2.014558 | |
Adjusted R-squared | 0.975424 | S.D. dependent var | 0.12252 | |
S.E. of regression | 0.019207 | Akaike info criterion | −4.862824 | |
Sum squared resid | 0.005903 | Schwarz criterion | −4.614128 | |
Log likelihood | 56.05965 | Hannan-Quinn criter. | −4.808850 | |
F-statistic | 199.4517 | Durbin-Watson stat | 1.620703 | |
Prob (F-statistic) | 0.000000 |