\fHouse Pricing Problem Spring is a peak time for selling houses. Realtors collected information on the selling price, number of bathrooms, square footage, and number of bedrooms of homes sold in Ft. Thomas, Kentucky, in the spring. The data needed for this question can be found on the \"House Pricing" sheet of the workbook downloaded at the beginning of the quiz. Question 8 1 pts This question relates to the House Pricing Problem. Develop an estimated regression equation that can be used to predict the selling price given the number of baths, square footage, and number of bedrooms. What is the coefficient on the variable for number of baths? Round your answer to three decimal points. This question relates to the House Pricing Problem. What percentage of the variability in selling price can be explained using this multiple linear regression model? Round your answer to the nearest percent. You do not need to include the % sign in your answer. This question relates to the House Pricing Problem. Find the parsimonious model. Using the parsimonious model, predict the selling price of a house that has 3 bathrooms, 3,104 square footage, and 3 bedrooms. Round your answer to the nearest dollar