Multiple Regression Using Excel Multiple Regression: Predicting Salaries for Executives Using Three Variables: Years of Experience, Years of Education and Number of Employees Supervised Once your analysis is complete, please interpret your Excel output by matching it to the appropriate concept. (Click-Drag-and Match: Review carefully double-check your matches) Regression Coefficient for Years of Experience Regression Coefficient for Years of Education 43.79 2765.41 Regression Coefficient for Number of Employees Supervised Interpret the Regression Coefficient for Years of Experience Interpret the Regression Coefficient for Years of Education Interpret the Regression Coefficient for Number of Employees Supervised For each additional year of education, salary will increase by $2,765.41 (holding others constant) For each additional year of experience, salary will increase by $2,699.22 (holding others constant) For each additional employee supervised, salary will increase by $43.79 (holding others constant) 2699.22