Question 1

Which of the following is not a research question that should be investigated with logistic regression?

Accepted Answer

A) Prediction of group membership 
B) Strength of association between criterion and predictors 
C) Differences between groups 
D) Interaction between predictors 
A) Prediction of group membership 
B) Strength of association between criterion and predictors 
C) Differences between groups 
D) Interaction between predictors C

Question 2

In the above example,the mean is also equal to?

Accepted Answer

A) The mode 
B) The probability of randomly drawing an accountant 
C) The median 
D) The probability of drawing a lawyer 
A) The mode 
B) The probability of randomly drawing an accountant 
C) The median 
D) The probability of drawing a lawyer B

Question 3

Which of the following statements is not true about the Wald statistic?

Accepted Answer

A) The Wald statistic assesses the individual contribution of a predictor variable in a logistic regression model. 
B) The Wald statistic tends to be biased when the regression coefficient is large. 
C) The Wald statistic is equivalent to the t-statistic in multiple regression. 
D) The Wald statistic has a t-distribution. 
A) The Wald statistic assesses the individual contribution of a predictor variable in a logistic regression model. 
B) The Wald statistic tends to be biased when the regression coefficient is large. 
C) The Wald statistic is equivalent to the t-statistic in multiple regression. 
D) The Wald statistic has a t-distribution. D

Question 4

The same friend has produced another list.Which of the following is true about logistic regression?

Accepted Answer

A) It estimates values in the outcome variable. 
B) It estimates a probability that the outcome variable assumes a certain value. 
C) It estimates probabilities in the outcome variable. 
D) It estimates the probabilities that the predictor variables assume certain values. 
A) It estimates values in the outcome variable. 
B) It estimates a probability that the outcome variable assumes a certain value. 
C) It estimates probabilities in the outcome variable. 
D) It estimates the probabilities that the predictor variables assume certain values.

Question 5

A researcher is interested in predicting whether a company might attempt to buy out a competitor (score = 1)or not (score = 0),using market share (%)as an independent variable.She establishes that the value of 'exp(B)' is 2.56.How should she interpret this?

Accepted Answer

A) If two companies have a market share that differs by 1 unit,then the odds of the company with the higher score attempting a takeover are 2.56 higher than for the other company. 
B) 2.56 times more companies who attempted takeovers scored highly on market share. 
C) If two companies have market share scores that differ by 1 unit,then the odds of the company with the higher score attempting a takeover are 2.56 lower than for the other company. 
D) Takeover rates are 2.56 times as high in companies with a large share of their market. 
A) If two companies have a market share that differs by 1 unit,then the odds of the company with the higher score attempting a takeover are 2.56 higher than for the other company. 
B) 2.56 times more companies who attempted takeovers scored highly on market share. 
C) If two companies have market share scores that differ by 1 unit,then the odds of the company with the higher score attempting a takeover are 2.56 lower than for the other company. 
D) Takeover rates are 2.56 times as high in companies with a large share of their market.

Question 6

Very high standard errors in parameter estimates in logistic regression suggest evidence of?

Accepted Answer

A) Shrinkage 
B) Multicollinearity 
C) An outlier 
D) A dummy variable 
A) Shrinkage 
B) Multicollinearity 
C) An outlier 
D) A dummy variable

Question 7

You are proofreading a new business statistics book for a close friend.He lists the following as functions of logistic regression,but you suspect one is not accurate.Which?

Accepted Answer

A) Predict a dependent variable on the basis of several independent variables 
B) Determine the variance in the dependent variable explained by the independent variables 
C) Rank the relative importance of independent variables 
D) Assess the impact of covariate control variables 
A) Predict a dependent variable on the basis of several independent variables 
B) Determine the variance in the dependent variable explained by the independent variables 
C) Rank the relative importance of independent variables 
D) Assess the impact of covariate control variables

Question 8

In logistic regression,the values of the parameters are estimated using?

Accepted Answer

A) Maximum-likelihood probability 
B) Minimum-likelihood estimation 
C) Minimum-likelihood probability 
D) Maximum-likelihood estimation 
A) Maximum-likelihood probability 
B) Minimum-likelihood estimation 
C) Minimum-likelihood probability 
D) Maximum-likelihood estimation

Question 9

The odds ratio is?

Accepted Answer

A) The natural log to the bth power,where b is the unstandardized parameter estimate. 
B) The natural log to the bth power,where b is the standardized parameter estimate. 
C) The base 10 log to the bth power,where b is the unstandardized parameter estimate. 
D) The base 10 log to the bth power,where b is the standardized parameter estimate. 
A) The natural log to the bth power,where b is the unstandardized parameter estimate. 
B) The natural log to the bth power,where b is the standardized parameter estimate. 
C) The base 10 log to the bth power,where b is the unstandardized parameter estimate. 
D) The base 10 log to the bth power,where b is the standardized parameter estimate.

Question 10

Large log-likelihood values do not show or represent?

Accepted Answer

A) The extent of the relationship between independent and dependent variables. 
B) That there are a large number of unexplained observations in the data. 
C) That there is a large measure of deviance. 
D) That the model is a good fit. 
A) The extent of the relationship between independent and dependent variables. 
B) That there are a large number of unexplained observations in the data. 
C) That there is a large measure of deviance. 
D) That the model is a good fit.

Question 11

You have a dependent variable with three categories - low,medium and high emotion advertising.What is an alternative to logistic regression in this instance?

Accepted Answer

A) Binomial regression 
B) Logit regression 
C) Legit regression 
D) Multinomial regression 
A) Binomial regression 
B) Logit regression 
C) Legit regression 
D) Multinomial regression

Question 12

To predict a person's occupation by their income,lawyers are coded as 0 and accountants as 1.If there are 100 cases and 40 are accountants,what is the mean of the variable?

Accepted Answer

A) 40 
B) 0.4 
C) 2.5 
D) 25 
A) 40 
B) 0.4 
C) 2.5 
D) 25

Question 13

How would you request a logistic regression analysis in SPSS?

Accepted Answer

A) Analyze → Nonparametric → Binomial 
B) Analyze → Regression → Ordinal 
C) Analyze → Regression → Binary Logistic 
D) Analyze → Loglinear → General 
A) Analyze → Nonparametric → Binomial 
B) Analyze → Regression → Ordinal 
C) Analyze → Regression → Binary Logistic 
D) Analyze → Loglinear → General

Question 14

The odds of an event are?

Accepted Answer

A) The ratio of the probability for an event not happening to the probability of the event happening. 
B) The ratio of the probability for an event happening to the probability of the event not happening. 
C) The probability of an event occurring. 
D) None of the above. 
A) The ratio of the probability for an event not happening to the probability of the event happening. 
B) The ratio of the probability for an event happening to the probability of the event not happening. 
C) The probability of an event occurring. 
D) None of the above.

Question 15

Logistic regression is used when you want to?

Accepted Answer

A) Predict a continuous variable from dichotomous ones. 
B) Predict a dichotomous variable from continuous or dichotomous variables. 
C) Predict any categorical variable from other categorical variables. 
D) Predict a continuous variable from dichotomous or continuous variables. 
A) Predict a continuous variable from dichotomous ones. 
B) Predict a dichotomous variable from continuous or dichotomous variables. 
C) Predict any categorical variable from other categorical variables. 
D) Predict a continuous variable from dichotomous or continuous variables.

Question 16

In logistic regression,the dependent variable is called a logit,which is?

Accepted Answer

A) The natural log of the odds 
B) The rolling mean 
C) A log rolling 
D) A mean log 
A) The natural log of the odds 
B) The rolling mean 
C) A log rolling 
D) A mean log

Question 17

A marketing consultant would like to analyse whether an advertisement is recalled or not by a group of consumers,predicted by the number of hours of television they watch.He has received various pieces of advice from colleagues.Which should he listen to?

Accepted Answer

A) Logistic regression is not suitable with this predictor variable. 
B) Logistic regression is not suitable as the dependent variable only has two categories. 
C) Logistic regression is not suitable as only one predictor variable is postulated. 
D) Logistic regression is perfectly acceptable for this model. 
A) Logistic regression is not suitable with this predictor variable. 
B) Logistic regression is not suitable as the dependent variable only has two categories. 
C) Logistic regression is not suitable as only one predictor variable is postulated. 
D) Logistic regression is perfectly acceptable for this model.

Which of the following is not a research question that should be investigated with logistic regression?

In the above example,the mean is also equal to?

Which of the following statements is not true about the Wald statistic?

The same friend has produced another list.Which of the following is true about logistic regression?

A researcher is interested in predicting whether a company might attempt to buy out a competitor (score = 1)or not (score = 0),using market share (%)as an independent variable.She establishes that the value of 'exp(B)' is 2.56.How should she interpret this?

Very high standard errors in parameter estimates in logistic regression suggest evidence of?

You are proofreading a new business statistics book for a close friend.He lists the following as functions of logistic regression,but you suspect one is not accurate.Which?

In logistic regression,the values of the parameters are estimated using?

The odds ratio is?

Large log-likelihood values do not show or represent?

You have a dependent variable with three categories - low,medium and high emotion advertising.What is an alternative to logistic regression in this instance?

To predict a person's occupation by their income,lawyers are coded as 0 and accountants as 1.If there are 100 cases and 40 are accountants,what is the mean of the variable?

How would you request a logistic regression analysis in SPSS?

The odds of an event are?

Logistic regression is used when you want to?

In logistic regression,the dependent variable is called a logit,which is?

A marketing consultant would like to analyse whether an advertisement is recalled or not by a group of consumers,predicted by the number of hours of television they watch.He has received various pieces of advice from colleagues.Which should he listen to?

Why Is My Evil Lecturer Forcing Me to Learn Statistic

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

Non-Parametric Models

Correlation

Regression

Comparing

Moderation,mediation and Multicategory Predictors

Comparing Several Means

Analysis of Covariance

Factorial Anova

Repeated-Measures Designs

Mixed Design Anova

Multiple Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Data

Multilevel Linear Models

Filters

Exam 20: Logistic Regression

Which of the following is not a research question that should be investigated with logistic regression?

In the above example,the mean is also equal to?

Which of the following statements is not true about the Wald statistic?

The same friend has produced another list.Which of the following is true about logistic regression?

A researcher is interested in predicting whether a company might attempt to buy out a competitor (score = 1)or not (score = 0),using market share (%)as an independent variable.She establishes that the value of 'exp(B)' is 2.56.How should she interpret this?

Very high standard errors in parameter estimates in logistic regression suggest evidence of?

You are proofreading a new business statistics book for a close friend.He lists the following as functions of logistic regression,but you suspect one is not accurate.Which?

In logistic regression,the values of the parameters are estimated using?

The odds ratio is?

Large log-likelihood values do not show or represent?

You have a dependent variable with three categories - low,medium and high emotion advertising.What is an alternative to logistic regression in this instance?

To predict a person's occupation by their income,lawyers are coded as 0 and accountants as 1.If there are 100 cases and 40 are accountants,what is the mean of the variable?

How would you request a logistic regression analysis in SPSS?

The odds of an event are?

Logistic regression is used when you want to?

In logistic regression,the dependent variable is called a logit,which is?

A marketing consultant would like to analyse whether an advertisement is recalled or not by a group of consumers,predicted by the number of hours of television they watch.He has received various pieces of advice from colleagues.Which should he listen to?

Why Is My Evil Lecturer Forcing Me to Learn Statistic

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

Non-Parametric Models

Correlation

Regression

Comparing

Moderation,mediation and Multicategory Predictors

Comparing Several Means

Analysis of Covariance

Factorial Anova

Repeated-Measures Designs

Mixed Design Anova

Multiple Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Data

Multilevel Linear Models

Filters