Multiple Regression. Kitchen Products, Ltd., is a regional distributor of Regal Bread Making Machine. The company wishes to assess the relative importance of price reductions versus an increase in personal selling efforts as means for enhancing product promotion. To this end, the company recently used a regression analysis approach to study the following monthly unit sales, price, and personal selling expense information for the Bozeman, Montana market:

As a first step in the analysis, the company ran simple regressions of unit sales on each of the potentially important independent variables of price and personal selling expenses:
The first simple regression equation is:
SALES = 371 - 2.59 PRICE

The multiple regression equation is:
SALES = 195 - 4.33 PRICE + 0.231 SELLEXP

Question

Multiple Regression. Kitchen Products, Ltd., is a regional distributor of Regal Bread Making Machine. The company wishes to assess the relative importance of price reductions versus an increase in personal selling efforts as means for enhancing product promotion. To this end, the company recently used a regression analysis approach to study the following monthly unit sales, price, and personal selling expense information for the Bozeman, Montana market:
 
As a first step in the analysis, the company ran simple regressions of unit sales on each of the potentially important independent variables of price and personal selling expenses:
The first simple regression equation is:
SALES = 371 - 2.59 PRICE

The multiple regression equation is:
SALES = 195 - 4.33 PRICE + 0.231 SELLEXP

Quizplus · Accepted Answer

The Answer of Multiple Regression. Kitchen Products, Ltd., is a regional distributor of Regal Bread Making Machine. The company wishes to assess the relative importance of price reductions versus an increase in personal selling efforts as means for enhancing product promotion. To this end, the company recently used a regression analysis approach to study the following monthly unit sales, price, and personal selling expense information for the Bozeman, Montana market:
 
As a first step in the analysis, the company ran simple regressions of unit sales on each of the potentially important independent variables of price and personal selling expenses:
The first simple regression equation is:
SALES = 371 - 2.59 PRICE

The multiple regression equation is:
SALES = 195 - 4.33 PRICE + 0.231 SELLEXP