Answer Happy

I need solution for this ECONOMETRICS question as soon as
possible which includes from A to H
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00:26 17 Mayıs Sal %220 Bitti ecf352_assignment @ 1. We attempt to predict the quantity of milk in thousands of litters) supplied by a firm per month (Qs) using the following independent variables: P (price of milk, $/litter); D =1 during the months of strike; =0 otherwise, i.e. during the months of non-strike); PD (P x D; multiplicative dummy). OLS estimation is based on the data for 14 months. EViews regression output is shown below: Dependent Variable: Qs Method: Least Squares Included observations: 14 Variable Coefficient Std. Error t-Statistic Prob. C P D PD -29.73935 162.8620 -309.2606 287.1380 5.294853 5.995694 54.54992 57.65867 -5.616653 27.16316 -5.669314 4.979962 0.0002 0.0000 0.0002 0.0006 R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood Durbin-Watson stat 0.994755 0.993182 1.238817 15.34668 -20.50803 2.079064 Mean dependent var S.D. dependent var Akaike info criterion Schwarz criterion F-statistic Prob(F-statistic) 108.0000 15.00256 3.501147 3.683735 632.2005 0.000000 a) By using the above information, write down the population regression function (PRF). b) Determine the estimated supply function from the provided EViews output. Also determine the estimated supply function for the periods of strike AND non-strike, separately.