MGTS 312 Please help

Kentucky, in spring 2018. Spring is a peak time for selling houses. Suppose the data below contains the selling price, number of bathrooms, square footage, and number of bedrooms of 26 homes sold in Ft. Thomas, Selling Price Baths Sq Ft Beds Selling Price Baths Sq Ft Beds 160,000 1.5 1,766 m 295,000 2.5 1,860 m 170,000 N 1,768 m 325,000 2,056 178,000 1,219 m 325,000 3.5 2,776 182,500 H 1,558 328,400 N 1,408 195,100 1,125 ST 331,000 1.5 1,972 212,500 V 1,196 N 344,500 1,736 m 245,900 2,128 365,000 1,990 J 250,000 m 1,280 385,000 2.5 3,640 255,000 N 1,596 395,000 1,928 258,000 m 2,374 399,000 2,108 267,000 2.5 2,439 430,000 N 2,462 268,000 1,470 430,000 N 2,615 275,000 1,688 454,000 in N 3,700 Consider the estimated regression equation we developed that can be used to predict the selling price given the number of bathrooms, square footage, and number of bedrooms in the house. (X] denotes number of bathrooms, x, denotes square footage, x, denotes number of bedrooms, and y denotes the selling price.) y = 7268.37 + 3262.37x, + 66.71x, + 43666.36x3 (a) Does the estimated regression equation provide a good fit to the data? Explain. (Round your answer to two decimal places.) Since the adjusted R2 = the estimated regression equation -- Select- a good fit. M ENG