MODEL: Consider a linear model Y =Y(X) = Bot BIX +e with E~ N(0, 02), (1) where X represents property tax (per 1000) and Y is the corresponding home sale price (in 1000) . Consider the following summary statistics: Data Summary Statistics n T. y SSHI SSyy SSry 24 6.405 34.61 57.563 829.046 191.361 Table 1: Summary statistics for data on home sale price. 1. (10 points) Compute the LS estimates of Bo and B1. 2. (10 points) Write your interpretation of B1. 3. (10 points) Compute SSR and SSE. 4. (10 points) Compute the coefficient of determination, R2. What is the interpretation of this statistic? 5. (10 points) Compute the product moment correlation coefficient, r. Write the interpre- tation of this statistic in the context of the data