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Problem 6: (Chapter 9 Material) 11 points possible You want to run a multiple linear regression. Let y be the dependent variable and x1 and x2 are the independent variables. x1 x2 y 32 13 1500 48 8 1800 23 11 1357 58 3 2700 35 4 1900 41 6 1700 56 5 2305 49 3 1899 47 13 2158 61 15 2678 57 2 1697 Provide the following: x1 x2 y 32 13 1500 48 8 1800 23 11 1357 58 3 2700 35 4 1900 41 6 1700 56 5 2305 49 3 1899 47 13 2158 61 15 2678 57 2 1697 Problem 6: (Chapter 9 Material) 11 points possible Please use a separate Excel workbook for this problem. Name the Excel workbook as follows: Your last name Problem6. For example, your instructor would name it as follows: Jance_Problem6. You want to run a multiple linear regression. Let y be the dependent variable and x1 and x2 are the independent variables. Provide the following: - Run a linear regression using Excel's Data Analysis regression tool. You need to show the Excel Data Analysis regression results in your work ( 3 points). - Construct the linear regression equation (1 point). - Determine the predicted y value if x1=43 and x2= 13 (1 point). - Is there an overall significant relationship? Clearly explain your reasoning using the regression results (2 points). - Should xI be included in the regression model? Why or why not? (2 points). - Should x2 be included in the regression model? Why or why not? (2 points)..

- 1. Problem 6: (Chapter 9 Material) 11 points possible You want to run a multiple linear regression. Let y be the dependent variable and x1 and x2 are the independent variables. x1 x2 y 32 13 1500 48 8 1800 23 11 1357 58 3 2700 35 4 1900 41 6 1700 56 5 2305 49 3 1899 47 13 2158
- 4. 2158 61 15 2678 57 2 1697 Problem 6: (Chapter 9 Material) 11 points possible Please use a separate Excel workbook for this problem. Name the Excel workbook as follows: Your last name Problem6. For example, your instructor would name it as follows: Jance_Problem6. You want to run a multiple linear regression. Let y be the dependent variable and x1 and x2 are the independent variables. Provide the following: - Run a linear regression using Excel's Data Analysis regression tool. You need to show the Excel Data Analysis regression results in your work ( 3 points). - Construct the linear regression equation (1 point). - Determine the predicted y value if x1=43 and x2= 13 (1 point). - Is there an overall significant relationship? Clearly explain your reasoning using the regression results (2 points). - Should xI be included in the regression model? Why or why not? (2 points). - Should x2 be included in the regression model? Why or why not? (2 points).