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Using the R-Program: The House data set contains the following variables: > names (House) [1] date [6] sqft_lot [11] grade [16] zipcode price floors sqft_above
Using the R-Program:
The House data set contains the following variables: > names (House) [1] "date" [6] "sqft_lot" [11] "grade" [16] "zipcode" "price" "floors" "sqft_above" "lat" "bedrooms" "bathrooms" "sqft_living" "waterfront" "view" "condition" "sqft_basement" "yr_built" "yr_renovated" "long" "sqft_living15" "sqft_lot15" Perform a multiple regression to predict price using all other variables in the House data set. Produce four diagnostic plots associated with the above model. Construct a scatter plot between bedrooms and the residuals of the above model The House data set contains the following variables: > names (House) [1] "date" [6] "sqft_lot" [11] "grade" [16] "zipcode" "price" "floors" "sqft_above" "lat" "bedrooms" "bathrooms" "sqft_living" "waterfront" "view" "condition" "sqft_basement" "yr_built" "yr_renovated" "long" "sqft_living15" "sqft_lot15" Perform a multiple regression to predict price using all other variables in the House data set. Produce four diagnostic plots associated with the above model. Construct a scatter plot between bedrooms and the residuals of the above modelStep by Step Solution
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