Q2: fitted value and residual Regression can be used for making investment decision. For example, we may want to buy an underpriced house (whose actual price is less than the price predicted by the regression); and sell an overpriced house. Please use House data for this problem. Consider estimating a simple regression rprice = Bo + Biarea + u Please (a) use command dis to compute the fitted value for a house with 2000 squared feet; (b) use command dis to compute the residual for the most expensive house in the 1 sample. How to interpret that residual? Do you want to buy or sell that house? (Hint: find the maximum value of rprice using command sum, then list that house using list if rprice==?) Q2: fitted value and residual Regression can be used for making investment decision. For example, we may want to buy an underpriced house (whose actual price is less than the price predicted by the regression); and sell an overpriced house. Please use House data for this problem. Consider estimating a simple regression rprice = Bo + Biarea + u Please (a) use command dis to compute the fitted value for a house with 2000 squared feet; (b) use command dis to compute the residual for the most expensive house in the 1 sample. How to interpret that residual? Do you want to buy or sell that house? (Hint: find the maximum value of rprice using command sum, then list that house using list if rprice==?)