A marketing researcher conducted a multiple regression analysis to explain how much customers spend on a company’s products (Amount Spent) as a function of four customer characteristics/variables: annual salary (Salary), number of children (Children), age (Age), and location (Location; rural or urban). Use the two partial ANOVA tables from regression analysis below to determine how much additional variation (as a percentage) in Amount Spent can be explained by Salary and Children, together, over-and-above Age and Location: MODEL 1: Amount Spent = f(Age, Location)
SSE = 37,200 MSR = 11,600
MODEL 2: Amount Spent = f(Age, Location, Salary, Children)
SSE = 13,800 MSR = 11,650

a. 62.90%
b. 38.74%
c. 26.96%
d. 58.97%