Open the real estate v7JMP file and study it. You are asked to find the best fit model to predict the price of a property in Chicago. You are considering the following regression models: Model1: use square feet as the independent variable. Model2: use square feet and beds as the independent variables. Model3: use property type, square feet, and beds as the independent variables. Complete the following statements: 1. The RSquare for Model1 is [Select] 2. The RSquare Adj for Modell is (Select] M. 3. Model1 predicts the price for a property of 3,000 sq ft to be (Select ] 4. The RSquare for Model2 is Select] 5. The RSquare Adj for Model2 is (Select) 6. Model2 predicts the price for a property of 3,000 sq ft with 3 bedrooms to be Select] 7. The RSquare for Model3 is Select) 8. The RSquare Adj for Model3 is Select) 9. Model3 predicts the price for a single family residential property of 3,000 sq ft with 3 bedrooms to be [Select 10. Model3 is the best fit model (T/F) [Select) Open the real estate v7JMP file and study it. You are asked to find the best fit model to predict the price of a property in Chicago. You are considering the following regression models: Model1: use square feet as the independent variable. Model2: use square feet and beds as the independent variables. Model3: use property type, square feet, and beds as the independent variables. Complete the following statements: 1. The RSquare for Model1 is [Select] 2. The RSquare Adj for Modell is (Select] M. 3. Model1 predicts the price for a property of 3,000 sq ft to be (Select ] 4. The RSquare for Model2 is Select] 5. The RSquare Adj for Model2 is (Select) 6. Model2 predicts the price for a property of 3,000 sq ft with 3 bedrooms to be Select] 7. The RSquare for Model3 is Select) 8. The RSquare Adj for Model3 is Select) 9. Model3 predicts the price for a single family residential property of 3,000 sq ft with 3 bedrooms to be [Select 10. Model3 is the best fit model (T/F) [Select)