A shoe store developed the following estimated regression equation relating sales to inventory investment and advertising expenditures. y^=25+12x1+6x2 where x1x2y=inventoryinvestment($1,000s)=advertisingexpenditures($1,000s)=sales($1,000s) (a) Predict the sales (in dollars) resulting from a $14,000 investment in inventory and an advertising budget of $10,000. $ (b) Interpret b1 and b2 in this estimated regression equation. \$ for every dollar increase in advertising expenditure when inventory investment is held constant. A shoe store developed the following estimated regression equation relating sales to inventory investment and advertising expenditures. y^=25+12x1+6x2 where x1x2y=inventoryinvestment($1,000s)=advertisingexpenditures($1,000s)=sales($1,000s) (a) Predict the sales (in dollars) resulting from a $14,000 investment in inventory and an advertising budget of $10,000. $ (b) Interpret b1 and b2 in this estimated regression equation. \$ for every dollar increase in advertising expenditure when inventory investment is held constant