(Solved): Using the acoompanying Home Market Value data, develop a multple linear regression model for estrat ...

Using the acoompanying Home Market Value data, develop a multple linear regression model for estrating the market valie as a function of both the sge snd size of the house. Stata tha model AI Click the ioon to view the Home Market Valua deta. State the hypotheses for the multipie linear regression test. \[ H_{0}: \beta_{1}=\beta_{2}=\cdots=p_{\alpha}=0 \] \( \mathrm{H}_{1} \) : at least one \( \mathrm{B}_{1} \) is not 0 State the model for predicting MarkeNvalue as a function of Age and Sze, where Age is the age of the house, and Swe ia the aize of the house his square feot MarketValue \( =43,391933^{3}+1 \) ) Age \( + \) ( 4 (ine (Type integers or decimals rounded to three decimal places as needed.) The value of \( R^{2}, 0.415 \), indicates that \( 41.5 \% \) of the variafion in the is explisined by (Type integers or decimais rounded to three decimat places as needed.) The Significance F is \( 0.000 \). (Type an integer or decimal rounded to three decimal places as noedod.) The Signficance \( F \) is the chosen level of significance. Therelore, the mull nypothesia. The raauts ayspest that The Age p-value is \( 0.70 \mathrm{~B} \). (Type an integor or decirral rounded to three dociral places as needed.) The Sixe p-value is 0,000 (Type as integer of decimal reunded to three docimal places as needed.) Thn results suggest that in the medel isiare signifsanL.