The document describes developing a multiple regression model to predict auto sales (AS) based on household income (INC) and population (POP) using data from 10 metropolitan areas. It asks to estimate coefficients for the regression equation AS = b0 + b1(INC) + b2(POP), check if coefficients match expectations, test if coefficients are significantly different than 0, calculate the percentage of variation in AS explained by the model, and predict AS for an area with INC=$23,175 and POP=128.07.