In the Bass forecasting model, the ___________measures the ...

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In the Bass forecasting model, the ___________measures the likelihood of adoption, assuming no influence from someone who has already purchased (adopted) the product.
 a. coefficient of correlation
  b. coefficient of imitation
  c. coefficient of independence
  d. coefficient of innovation

Question 2

The multiple regression model represents pricing for residential housing in a certain market. Predicted Price  = 19,856.56 + 6,985.25 bedrooms + 87.53 square foot. A house in the local market has 4 bedrooms and 2,200 square feet of living area. Use the multiple regression model to determine the predicted price.

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Answer to Question 1

d
RATIONALE: In the Bass forecasting model, the coefficient of innovation measures the likelihood of adoption, assuming no influence from someone who has already purchased (adopted) the product.

Answer to Question 2

240,364
RATIONALE: Predicted Price  = 19,856.56 + 6,985.25 bedrooms + 87.53 square foot = 19,856.56 + 6,985.25(4) + 87.53(2200) = 240,363.56