Understanding and predicting consumer behavior

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Reference no: EM13841762

Question 1:  Which of the following approaches to understanding and predicting consumer behavior depends primarily on the knowledge and experience of a firm's employees and its suppliers?

  • Test marketing and price experiments
  • Analysis of historical data.
  • Direct consumer surveys.
  • Expert opinion.

Question 2: In which of the following situations would reliance on expert opinion as a basis for a managerial decision be most preferred?

  • When the product being marketed is relatively new.
  • When the level of economic activity can have a significant effect on the demand for the firm's output.
  • When the product can be packaged with a variety of price and quality combinations.
  • When the business in question serves as a supplier of inputs to other businesses, especially in multi-product situations where other strategies may be prohibitively expensive.

Question 3: The approach to analyzing consumer behavior that asks consumers to rank and choose among different product attributes to reveal their relative valuation of different characteristics is called:

  • conjoint analysis.
  • contingent valuation.
  • the hedonic estimation technique.
  • a direct consumer survey.

Question 4: All of the following are limitations of direct consumer surveys except:

  • the possibility of response biases because survey respondents may not want to reveal their true preferences.
  • the possibility that the type of questions asked may unintentionally bias the respondent's answers.
  • the likelihood that respondents will deliberately and systematically mislead interviewers.
  • the possibility that consumers' responses may not reflect their actual behavior in the market place.

Question 5: Which of the following approaches to understanding and predicting consumer behavior does not actually solicit any information from potential customers?

  • Expert opinion.
  • Test marketing.
  • Analysis of historical data.
  • Conjoint analysis.

Question 6: Data collected on a sample of individuals with different characteristics at a specific point in time are called:

  • panel data.
  • cross-section data.
  • time series data.
  • none of the above.

Question 7: Which of the following approaches to understanding and predicting consumer behavior provides the most insight into how consumers can be expected to respond in an actual market setting?

  • Test marketing.
  • Conjoint analysis.
  • Expert opinion.
  • Analysis of historical data.

Question 8: An approach to analyzing consumer behavior in which consumer reaction to different prices is analyzed in a laboratory situation or a test market is called:

  • non-price experiments.
  • focus groups.
  • price experiments.
  • none of the above.

Question 9: Data collected on the same observation unit at a number of points in time are called:

  • panel data.
  • time series data.
  • cross-section data.
  • none of the above.

Question 10: A measure of how much the coefficient would vary in regressions based on different samples is called:

  • F-statistic.
  • standard error of the estimated coefficient.
  • t-statistic.
  • partial F-statistic.

Question 11: The test statistic used to test the hypothesis of whether a regression coefficient is significantly different from zero, holding all other independent variables constant, is called a(n):

  • t-test.
  • F-test.
  • multicollinearity test.
  • autocorrelation test.

Question 12: Regression analysis that analyzes the relationship between one dependent variable and several independent variables is called:

  • cluster analysis.
  • correlation analysis.
  • multiple regression analysis.
  • simple regression analysis.

Question 13: The ratio of the regression coefficient to its standard error is called:

  • F-statistic.
  • t-statistic.
  • coefficient of determination.
  • partial F-statistic.

Question 14: The coefficient of determination will range between what values?

  • -1 and +1
  • 0 and 1
  • -3 and +3
  • none of the above

Question 15: The range of values in which we can be confident that the true regression coefficient lies within a given degree of probability is called a:

  • confidence interval.
  • logistic regression.
  • prediction interval.
  • none of the above.

Question 16: The estimated regression equation is Y = 10 + 2.5X, if X =0 than the predicted value of Y is equal to

  • 2.5
  • 7.5
  • 12.5
  • 10

Reference no: EM13841762

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