Given the correlation matrix below, answer the questions below the table. US/Not US (1US,ONot) Debt Earnings US/NOTUS Debt Sales Employees 1. 2. 3. 4. 5. 6. 7. 1 8. 9. 10. Variable Earnings(ps) 2. Earnings 1.0 .40 -.60 .50 .30 Debt US/Not US (1US,ONot) You have the following statistics for earnings, debt and US/Not US variables Means 2.50 1.0 -.05 .10 -.25 5 (Million) .75 1.0 .30 .07 Who earns more, US or foreign corps Best predictor of earnings Who has more employees, US or foreign corps. Corp with higher debt have (higher,lower) earnings. Corp with higher sales have (greater, lesser) number of employees. Slope of the line for earning against debt would be positive, negative or zero. Average earnings for US corps would be (higher or lower) than average earnings foreign corps The average earnings for companies without debt would be lover or higher than companies with $5 mil or more in debt. Weakest predictor of earnings is Higher debt companies have significantly higher numbers of employees. correlation between the two was zero Sales Y'20 X1 + .75 X2 + 2.00 1.0 .20 StDev 1.50 3 Million .25 Employees 1.0 Specify the regression equation for Earning against debt if the If the regression equation for earnings against US/Not is Y' = .80 X + 2.00. Interpret the regression coefficient of .80. Estimate earning for US corps and not US corps. 3. If a multiple regression for the three variables in the table were: Interpret the regression coefficients (in terms of the variables. Estimate earnings for a US company that has 3 (million) in debt.