Areal estate builder wishes to determine how house size(house) is influenced by family income (income), family size(size), and education of the head of household (school). house size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is measured in years. the builder randomly selects 50 families and runs the multiple regression. the business literature involving human capital shows that education influences an individual's annual income. combined, these may influence family size. with this in mind, what should the real estate builder be particularly concerned with when analyzing the multiple regression model? a)normality of residuals b)collinearity c)missing observations d)randomness of error terms