ln(SalesTrop)=0+1ln(PriceTrop)+2ln(PriceMM)+3Display+ Create the variable ln( PriceTrop) and ln( PriceMM). Estimate the linear regression model above. 2.1) Copy and paste the result tables from Excel here. 2.2) What is the value of the coefficient of ln (PriceTrop)? How to interpret this value? Is the coefficient of ln (PriceTrop) negative or positive? Why? 2.3) What is the value of the coefficient of ln (PriceMM)? How to interpret it? Is the coefficient of ln( PriceMM) is negative or positive? Why? 2.4) What is value of the coefficient of Display? Is this coefficient positive or negative? How would you interpret this coefficient? SUMMARY OUTPUT \begin{tabular}{|l|r|} \hline \multicolumn{2}{|c|}{ Regression Statistics } \\ \hline Multiple R & 0.890644868 \\ \hline R Square & 0.793248282 \\ \hline Adjusted R Square & 0.787710289 \\ \hline Standard Error & 0.150713754 \\ \hline Observations & 116 \\ \hline \end{tabular} ANOVA \begin{tabular}{|l|r|r|r|r|r|} \hline & \multicolumn{1}{c|}{df} & \multicolumn{1}{c|}{ SS } & MS & F & Significance F \\ \hline Regression & 3 & 9.760763912 & 3.253587971 & 143.2375156 & 3.50982E38 \\ \hline Residual & 112 & 2.544039186 & 0.022714636 & & \\ \hline Total & 115 & 12.3048031 & & & \\ \hline \end{tabular} ln(SalesTrop)=0+1ln(PriceTrop)+2ln(PriceMM)+3Display+ Create the variable ln( PriceTrop) and ln( PriceMM). Estimate the linear regression model above. 2.1) Copy and paste the result tables from Excel here. 2.2) What is the value of the coefficient of ln (PriceTrop)? How to interpret this value? Is the coefficient of ln (PriceTrop) negative or positive? Why? 2.3) What is the value of the coefficient of ln (PriceMM)? How to interpret it? Is the coefficient of ln( PriceMM) is negative or positive? Why? 2.4) What is value of the coefficient of Display? Is this coefficient positive or negative? How would you interpret this coefficient? SUMMARY OUTPUT \begin{tabular}{|l|r|} \hline \multicolumn{2}{|c|}{ Regression Statistics } \\ \hline Multiple R & 0.890644868 \\ \hline R Square & 0.793248282 \\ \hline Adjusted R Square & 0.787710289 \\ \hline Standard Error & 0.150713754 \\ \hline Observations & 116 \\ \hline \end{tabular} ANOVA \begin{tabular}{|l|r|r|r|r|r|} \hline & \multicolumn{1}{c|}{df} & \multicolumn{1}{c|}{ SS } & MS & F & Significance F \\ \hline Regression & 3 & 9.760763912 & 3.253587971 & 143.2375156 & 3.50982E38 \\ \hline Residual & 112 & 2.544039186 & 0.022714636 & & \\ \hline Total & 115 & 12.3048031 & & & \\ \hline \end{tabular}