In order to determine the relationship between the number of units sold of a company's product (y) in 12 cities with the number of stores (1) their main competitor has in each city, and the competitor's price (2) in dollars, the following data were collected Competitor's Competitor's Units sold Stores Price 663 1 36 602 4 39 670 2 40 644 41 582 5 35 648 2 41 554 3 35 674 2 40 676 2 40 697 45 734 0 45 627 2 40 Generate a linear multiple regression output using software. Report regression coefficients accurate to 2 decimal places. Enter only positive values in the answer boxes.Generate a linear multiple regression output using software. Report regression coefficients accurate to 2 decimal places. Enter only positive values in the answer boxes. a) Holding competitor's price constant, for each unit decrease in the number of competitor's stores, the number of units sold on average by b) Holding competitor's stores constant, for every dollar increase in competitor's price, the number of units sold on average by units. c) Which of the following best describes the constant on in the model? C) The interpretation of the intercept will not make practical sense in this case since the competitor's prices are far from being 0. O The price the company should sell at if there is no competitor. O The competitor's price when 0 units are sold and there are 0 competitor's stores. 0 The constant number of units sold irrespective of competitor's stores and price. d) What proportion of the variation in units sold is not explained by the independent variables? Report your answer as a percent accurate to 1 decimal place. -%