Answer Happy

property prices is becoming increasingly beneficial. A data analyst was tasked to analyse and predict where property prices are moving towards. After performing a regression modelling to predict the house price, the results obtained are shown below. Coefficients of Model 1: Variable Coefr. P-Value Constant -120018 0.000 floors 45392 0.000 sqft_living 319.94 0.000 sqft_above -35.1 0.002 bedrooms -62829 0.000 condition 57093 0.000 sqft_lot -0.672 0.000 Model Summary of Model 1: R-se R-sq(adj) 48.45% 48.38% 1 mark & State the response variable in this scenario. house price Interpret the regression coefficient of the predictor variable, bedrooms, of the above Model 1. 2 mark bi) 4 mal b(ii) Construct the least squared regression equation for the above Model 1. 2 m: b(iii) Assess whether the above Model 1 suffers from overfitting. Why or why not? 11