I want to solve this question in the second picture No. 4 by referring to the table in the first picture No. 1

if you are doing this regression and P is price of apartment Age: is the Age of apartment and Size is the size of apartment Dependent Variable: PRICE Method: Least Squares Date: 05/05/20 Time: 18:25 Sample: 1990 1995 Included observations: 60 Variable Coefficient Std. Error C 50.19505 4.529372 AGE -0.812927 Mean dependent var R-squared Adjusted R-squared 0.849760 0.812200 S.D. dependent var 8.269856 Akaike info criterion 273.5621 Schwarz criterion S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) -19.97294 Hannan-Quinn criter. 22.62406 Durbin-Watson stat 0.008928 t-Statistic 11.08212 0.170910 -4.756476 Prob. 0.0004 0.0089 35.83333 19.08315 7.324313 7.254899 7.046445 3.548697 1 Dependent Variable: PRICE Method: Least Squares Date: 05/05/20 Time: 16:46 Sample: 1990 1995 Included observations: 6 Variable Coefficient Std. Error t-Statistic Prob. 0.1123 AGE 0.1237 296.8415 108.8540 2.726970 -5.314968 2.066180 -2.572364 -0.265185 0.094121 -2.817488 0.003415 0.001055 3.237497 PRICEF2 PRICEF3 0.1063 0.0836 R-squared 0.983449 Mean dependent var 35.83333 19.08315 5.785165 5.646338 Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) 0.958624 S.D. dependent var 3.881739 Akaike info criterion 30.13579 Schwarz criterion -13.35549 Hannan-Quinn criter. 39.61397 Durbin-Watson stat 0.024723 5.229429 3.461544 if you are doing a test for the previous regression (from question 1) to check if you need to add new variable or not. and you got the following result. were Pricf2: is the squared forecasted value of dependent variable and Pricf3: is the trebled forecasted .value of dependent variable :the calculated test statistics will equal note: round your answer to the nearest) (integer if you are doing this regression and P is price of apartment Age: is the Age of apartment and Size is the size of apartment Dependent Variable: PRICE Method: Least Squares Date: 05/05/20 Time: 18:25 Sample: 1990 1995 Included observations: 60 Variable Coefficient Std. Error C 50.19505 4.529372 AGE -0.812927 Mean dependent var R-squared Adjusted R-squared 0.849760 0.812200 S.D. dependent var 8.269856 Akaike info criterion 273.5621 Schwarz criterion S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) -19.97294 Hannan-Quinn criter. 22.62406 Durbin-Watson stat 0.008928 t-Statistic 11.08212 0.170910 -4.756476 Prob. 0.0004 0.0089 35.83333 19.08315 7.324313 7.254899 7.046445 3.548697 1 Dependent Variable: PRICE Method: Least Squares Date: 05/05/20 Time: 16:46 Sample: 1990 1995 Included observations: 6 Variable Coefficient Std. Error t-Statistic Prob. 0.1123 AGE 0.1237 296.8415 108.8540 2.726970 -5.314968 2.066180 -2.572364 -0.265185 0.094121 -2.817488 0.003415 0.001055 3.237497 PRICEF2 PRICEF3 0.1063 0.0836 R-squared 0.983449 Mean dependent var 35.83333 19.08315 5.785165 5.646338 Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) 0.958624 S.D. dependent var 3.881739 Akaike info criterion 30.13579 Schwarz criterion -13.35549 Hannan-Quinn criter. 39.61397 Durbin-Watson stat 0.024723 5.229429 3.461544 if you are doing a test for the previous regression (from question 1) to check if you need to add new variable or not. and you got the following result. were Pricf2: is the squared forecasted value of dependent variable and Pricf3: is the trebled forecasted .value of dependent variable :the calculated test statistics will equal note: round your answer to the nearest) (integer