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The most used multivariate data analysis technique in applied marketing research is


A) regression analysis.
B) frequency analysis.
C) paired sample t-test.
D) cross tabulation.
E) Cramer's V.

F) A) and B)
G) B) and E)

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Which of the assumptions listed below are necessary in order for the coefficients in a partial regression equation to be interpreted as the average change in the criterion variable associated with a unit change in the appropriate predictor variable holding other predictor variables constant?


A) The predictor variables must be correlated.
B) The variance among predictor variables must be equal.
C) The criterion variable must be normally distributed.
D) The predictor variables must be uncorrelated.
E) None of these are necessary assumptions.

F) None of the above
G) A) and C)

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Which of the following emphasizes the division of the sample into subgroups so as to learn how the dependent variable varies from subgroup to subgroup?


A) Longitudinal analysis
B) Coding
C) Cross-sectional analysis
D) Cross tabulation
E) One-way tabulation

F) None of the above
G) A) and C)

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Which of the following statements about the interpretation of correlations is NOT true?


A) Just because two variables are correlated doesn't mean that one necessarily caused the other.
B) There is nothing in correlation analysis that can be used to establish causality.
C) When you obtain a statistically significant correlation coefficient between two variables,you can safely assume that one variable caused another.
D) All that analytical procedures can do is measure the nature and degree of association between variables.
E) Statements of causality must come from underlying knowledge and theories about the phenomena under investigation.

F) B) and C)
G) A) and E)

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Olive Garden restaurants know that customers drink beverages for lunch and alcoholic drinks at supper.This is an example of an associative type of relationship.

A) True
B) False

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A research study involving the research question: "On the basis of a survey of husband-wife house-holds,is there a significant difference between the mean attitude score of husbands and that of wives toward our product?" will involve a test


A) for a single proportion.
B) of two means when samples are independent.
C) for a single mean.
D) of two means when samples are dependent.
E) None of these are correct.

F) D) and E)
G) B) and C)

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An analyst has a set of normally distributed internally scaled data resulting from two observations on the same sample of subjects,and he wishes to investigate if there is any difference in these two means.The appropriate statistical procedure is


A) a z-test for difference in two means.
B) analysis of variance (ANOVA) .
C) a paired samples t-test.
D) a chi-square goodness-of-fit test.
E) regression analysis.

F) A) and C)
G) B) and C)

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Let's assume there are sophomores,juniors,and seniors in your marketing research class and we want to know if their average GPAs differ.What is the proper statistical test?


A) t-test
B) z-test
C) Chi-square test
D) Analysis of variance (ANOVA)
E) None of these are correct.

F) B) and C)
G) D) and E)

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Assuming the two predictors X1 and X2 are not correlated,the coefficients of partial regression can be interpreted as the


A) unit change in the criterion variable associated with an average change in the appropriate predictor variable while holding the other predictor variable constant.
B) change in the criterion variable associated with an average change in the predictor variables.
C) average change in the criterion variable associated with an average change in the appropriate predictor variable while holding the other predictor variable constant.
D) average change in the criterion variable associated with a unit change in the appropriate predictor variable while holding the other predictor variable constant.
E) average change in the criterion variable associated with a unit change in the appropriate predictor variable.

F) B) and D)
G) B) and C)

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A popular approach to measuring the strength of the relationship between two categorical variables is


A) cross tabulation.
B) Pearson chi-square test of independence.
C) Cramer's V.
D) regression analysis.
E) Kendall's coefficient of concordance.

F) A) and B)
G) C) and E)

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If the correlation between two variables x and y is equal to −0.90,which of the following is TRUE?


A) x and y are highly related,whereby a positive change in x is accompanied by a positive change in y.
B) The two variables x and y are not related to one another.
C) x and y are highly related,whereby a negative change in x is accompanied by a positive change in y.
D) The coefficient of determination is equal to −0.81.
E) An increase in x is accompanied by a decrease in y.

F) C) and E)
G) A) and E)

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A brand product manager needs to know if men and women hold different attitudes about her product.What test should the brand product manager use?


A) Cross-tabulation
B) Independent samples t-test for means
C) Pearson chi-square test of independence
D) Paired sample t-test for means
E) Regression analysis

F) C) and E)
G) A) and E)

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Which statistical technique should you use to answer the question: "Is there a significant relation-ship between education level (a four-category ordinal variable) and whether or not consumers are aware that Firestone is a brand of tires?"


A) Multiple regression analysis
B) Pearson correlation coefficient
C) Chi-square test
D) Simple regression analysis
E) None of these are correct.

F) C) and D)
G) D) and E)

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Suppose that the relationship between sales (Y,in $000) and number of salespeople (X) is represented by the following regression equation: Y = 105.2 + 35.8X.What will be the average contribution to sales of one additional salesperson?


A) $35.80
B) $141,000
C) $35,800
D) $141.00
E) More information is needed to answer this question.

F) A) and E)
G) A) and C)

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The manager of the New England Patriots conducted a large survey.He wanted to know if there was an association between fans being "season ticket holders" vs."non-season ticket holders" and whether they "bought" vs."didn't buy" team merchandise at the game.Because his survey included these measurements,he used SPSS to run a Pearson correlation coefficient that turned out to be 0.88 with a Sig.value of .001.This meant there is a significant relationship.

A) True
B) False

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The NFL office discovered data covering attendance at professional football games in the late 1940s and early 1950s.The game with the highest attendance was between the St.Louis Cardinals and the New York Giants.The office also found considerable information that someone had collected on each game day such as the level of GDP,the Dow,number of persons employed,number of new businesses formed during the week preceding the game,and the population.A student intern took the information and built a regression model to predict game attendance for the upcoming season.The model should


A) accurately predict game attendance.
B) NOT predict game attendance accurately because the variable levels of today (i.e.,population,Dow,etc.) are out of range of those used to build the regression model.
C) predict game attendance accurately because the variable levels of today (i.e.,population,Dow,etc.) are out of range of those used to build the regression model.
D) predict game attendance accurately because the variable levels (i.e.,population,Dow,etc.) are within range of those used to build the regression model.
E) None of these are correct.

F) D) and E)
G) C) and E)

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Which of the following statements about the Pearson chi-square test of independence is NOT true?


A) It assesses the degree to which variables in a cross-tabulation are independent of one another.
B) The value can range from zero to some upper value limited by sample size and distribution of cases across the cells.
C) It doesn't measure the strength of association when variables are dependent.
D) It is only useful for univariate analysis.
E) All of these statements are true.

F) All of the above
G) A) and E)

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A simple regression is a statistical technique used to derive an equation that relates a single continuous dependent variable to two or more independent variables.

A) True
B) False

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A researcher is interested in comparing the usage of bank debit cards by consumers in rural (r) and urban (u) areas.Each year for the past five years,she has surveyed 500 individuals (one-half urban,one-half rural) randomly selected from across the United States.She is specifically interested in any differences that may exist between the two groups with regard to usage.The results of the current study indicate that people in urban areas use bank debit cards 12 times per month on average,while those in rural areas use bank cards 10 times per month on average.Given that the critical value that the test statistic is to be compared with is equal to 1.645 at a 90% significance level,which of the following statements are true?


A) The researcher should reject the null hypothesis at the 90% significance level.
B) The researcher might be able to reject the null hypothesis at the 95% level of significance.
C) The researcher cannot reject the null hypothesis at this significance level.
D) The researcher has provided evidence that people in urban areas use bank debit cards more than people in rural areas.
E) More information is needed before a decision about the null hypothesis can be made.

F) A) and E)
G) B) and C)

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A series of cross-tabulations between an outcome variable and several possible causal variables presented in a single table on a single page is known as a(n)


A) tabulation template.
B) tabulation matrix.
C) banner table.
D) causal digest.
E) analysis legend.

F) All of the above
G) A) and B)

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