Given the output of the following regression model (PPh in billions of IDR and GDP in billions of IDR):

Which of the following statements corresponds to the output (use a 5% level of significance):
A. GDP does not significantly affect PPh
B. PPh does not significantly affect GDP
C. GDP significantly affects PPh
D. PPh significantly affects GDP
Based on the output in the question above. , which of the following statements is correct:
A. If GDP increases by 1%, then PPh will increase by 0.2307%
B. If GDP increases by 1 billion IDR, then income tax will increase by IDR 0.2307 billion
C. If GDP increases by 1%, then PPh will decrease by 0.2307%
D. If GDP increases by 1 billion IDR, then income tax will increase by 0.2307%
 

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Dependent Variable: PPH Method: Least Squares Date: 01/19/16 Time: 05:25 Sample: 200101 2007Q4 Included observations: 28 Variable C PDB R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) Coefficient Std. Error t-Statistic Prob. -65873.42 8938.374 0.230752 0.021196 10.88676 -7.369732 0.0000 0.0000 0.820096 Mean dependent var 0.813177 S.D. dependent var 5070.420 Akaike info criterion 6.68E+08 Schwarz criterion -277.5658 Hannan-Quinn criter. 118.5215 Durbin-Watson stat 0.000000 30875.72 11730.82 19.96898 20.06414 19.99807 2.025520 Dependent Variable: PPH Method: Least Squares Date: 01/19/16 Time: 05:25 Sample: 200101 2007Q4 Included observations: 28 Variable C PDB R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) Coefficient Std. Error t-Statistic Prob. -65873.42 8938.374 0.230752 0.021196 10.88676 -7.369732 0.0000 0.0000 0.820096 Mean dependent var 0.813177 S.D. dependent var 5070.420 Akaike info criterion 6.68E+08 Schwarz criterion -277.5658 Hannan-Quinn criter. 118.5215 Durbin-Watson stat 0.000000 30875.72 11730.82 19.96898 20.06414 19.99807 2.025520

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Which of the following statements corresponds to the output use a 5 level of significance ANS WE... View the full answer