Please answer the following three questions:
Question 5 (3 points) The following is a regression of credit scores based on an individual's age, income, their location (whether they are in the North, South, East or West part of the US.) and whether they are a female or a male. The location dummies are North, South and East and the gender dummy is Female. Regession Statistics Multiple R 0.5138 R Square 0.2637 Adjusted R Square 0.1806 Stande Error 52.650 Observations 60 Standard Coe cients Error I Stat P-vaiue Intercept 477.481 44.896 10.635 0.000 Age 2.858 0.907 3.153 0.003 Income 0.024 0.023 1.036 0.305 North 11.158 3.635 3.070 0.003 South 13 .247 2.834 4.674 0.002 East 33.946 23.332 1.455 0.152 Female 17.080 14.338 1.191 0.239 Which one of the following is true? O The percentage of the variation in the independent variable that is explained by the dependent variables is 26.37%. O The percentage of the variation in the independent variable that is explained by the dependent variables is 51.38%. 0 The percentage of the variation in the dependent variable that is explained by the independent variables is 51.38%. 0 The percentage of the variation in the dependent variable that is explained by the independent variables is 26.37%. Question 6 (3 points) The following is a regression of credit scores based on an individual's age, income, their location (whether they are in the North, South, East or West part of the US.) and whether they are a female or a male. The location dummies are North, South and East and the gender dummy is Female. Regession Statistics Multiple R 0.513 8 R Square 0.2637 Adjusted R Square 0.1806 Standard Error 52.650 Observations 60 Standard Coe cients Error 1 Stat P-vaiue Intercept 477.481 44.896 10.635 0.000 Age 2.858 0.907 3.153 0.003 Income 0.024 0.023 1.036 0.305 North 11.158 3.635 3.070 0.003 South 13 .247 2.834 4.674 0.002 East 33.946 23.332 1.455 0.152 Female 17.080 14.338 1.191 0.239 E Which one of the following is true? 0 A. Every additional person in the North will increase the city's credit score by 11.158, all else equal. O B. Every additional year of age will increase the credit score by 2.858, all else equal. O C. Every additional $100 of income will increase the credit score by 285.8, all else equal. O D. Every additional credit score point will increase the income by 0.024, all else equal. O A,BandD Question 7 (3 points) The following is a regression of credit scores based on an individual's age, income, their location (whether they are in the North, South, East or West part of the U.S.) and whether they are a female or a male. The location dummies are North, South and East and the gender dummy is Female. Regression Statistics Multiple R 0.5138 R Square 0.2637 Adjusted R Square 0.1806 Standard Error 52.650 Observations 60 Standard Coefficients Error t Stat P-value Intercept 477.481 44.896 10.635 0.000 Age 2.858 0.907 3.153 0.003 Income 0.024 0.023 1.036 0.305 North 11.158 3.635 3.070 0.003 South 13.247 2.834 4.674 0.002 East 33.946 23.332 1.455 0.152 Female 17.080 14.338 1.191 0.239 Which one of the following is true? A. Females' credit scores will be 17.08 points greater than males' credit scores, on average, all else equal. B. Every additional female will increase the income by 17.08, all else equal. C. Every additional dollar of income will increase the credit score by .024, all else equal. Band C A and C
