Aa Multiple regi model and the least-squares method Aa Aa ression The term marke

Question

Aa Multiple regi model and the least-squares method Aa Aa ression The term marketing mix refers to the different components that can be controlled in a marketing strategy to increase sales or profit. The name comes from a cooking mix analogy used by Neil Borden in his 1953 presidential address to the American Marketing Association. In 1960, E. Jerome MoCarthy proposed the four Ps of marketing-product, price, place (or distribution), and promotion-as the most basic components of the marketing mix. Variables related to the four Ps are called marketing mix variables, A market researcher for a major manufacturer of computer printers is constructing a multiple regression model to predict monthly sales of printers using various marketing mix variables. The model uses historical data for various printer mC els and will be used to forecast sales for a newlyintroduced printer, The dependent variable for the model is y sales in a given month in thousands of dollars) The independent variables for the model are chosen from the following marketing mix variables: x1 product feature index for the printer (a score based on its quantity and quality of features) x2 average sale price (in dollars x3 number of retail stores selling the printer x4 advertising spending for the given month (in thousands of dollars) xs amount of coupon rebate (in dollars) The market researcher decides to predict sales using only the product feature index for the printer, the average sale price, and the amount of the coupon rebate. The multiple regression model has the following form: The multiple regression equation has the following form:

Explanation / Answer

The multiple regression model :

Correct Answer : Option (A)

The multiple regression equaton

correct Answer: Option (B)

The estimate regression equation is

Correct Answer: option (C)

Least square estimation : Correct Answer: Option (D)

102, Constants, 102*13 = 1326

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