Imagine you are a real estate investor presented with a regression analysis of home sales near one of your investment properties. Use Stat tools regression mod3l to determine:
Which is a better predictor of selling price:appraised value, square footage, or number of bedrooms?
A) How much value is added per $1000 OF APPRAISED VALUE?
b) How much value is added per 100 square feet?
C) How much value is added per bedroom?
At what price should you offer your investment home, based only on an appraised value of $135,000?
Please use a separate sheet for A, B, and C. Please see attached file
Step by step method for regression analysis is discussed here. Regression coefficients, coefficient of determination, scatter diagram and significance of regression model are explained in the solution.