Use the data in Problem 4-22 and develop a regression model to predict selling price based on the square footage and number of bedrooms. Use this to predict the selling price of a 2,000-square-foot house with three bedrooms. Compare this model with the models in Problem 4-22. Should the number of bedrooms be included in the model? Why or why not?

In Problem 4-22, The following data give the selling price, square footage, number of bedrooms, and age of houses that have sold in a neighborhood in the past 6 months. Develop three regression models to predict the selling price based upon each of the other factors individually. Which of these is best?

SQUARE SELLING AGE PRICE ($) FOOTAGE BEDROOMS (YEARS) 1,670 84,000 2 30 79,000 1,339 25 91,500 1,712 3 30 120,000 1,840 40 3. 127,500 2,300 18 2,234 3. 30 132,500 2,311 145,000 19 164,000 2,377 2,736 155,000 4 10 168,000 2,500 172,500 2,500 174,000 2,479 175,000 2,400 3 177,500 3,124 2,500 184,000 195,500 4,062 4 10 2,854 195,000 3.