Question 1

Which of the following is not an assumption of logistic regression?

Accepted Answer

A)  Linearity 
B)  Independence of errors 
C)  Multicollinearity 
D)  None of the above 
A)  Linearity 
B)  Independence of errors 
C)  Multicollinearity 
D)  None of the above D

Question 2

Which of the following reasons best describes why overdispersion is a problem in logistic regression?

Accepted Answer

A)  Incorrect correlations may be assumed. 
B)  The standard error will be limited and may cause the test statistic to be too large and more likely to become significant. 
C)  The outliers will not significantly affect the results. 
D)  None of the above. 
A)  Incorrect correlations may be assumed. 
B)  The standard error will be limited and may cause the test statistic to be too large and more likely to become significant. 
C)  The outliers will not significantly affect the results. 
D)  None of the above. B

Question 3

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. B

Question 4

What does the Wald statistic represent?

Accepted Answer

A)  The predicted value of the correlation coefficient 
B)  The proportionate change in the odds ratio 
C)  The odds ratio of the regression 
D)  Whether a variable is a significant predictor of the outcome 
A)  The predicted value of the correlation coefficient 
B)  The proportionate change in the odds ratio 
C)  The odds ratio of the regression 
D)  Whether a variable is a significant predictor of the outcome

Question 5

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 to a logistic regression model. 
B)  The Wald statistic tends to be biased when the regression coefficient is large. 
C)  If 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 to a logistic regression model. 
B)  The Wald statistic tends to be biased when the regression coefficient is large. 
C)  If the Wald statistic is equivalent to the t-statistic in multiple regression. 
D)  The Wald statistic has a t-distribution.

Question 6

Which of the following is not used in logistic regression?

Accepted Answer

A)  Forced entry 
B)  Forward method 
C)  Predictor method 
D)  Backward method 
A)  Forced entry 
B)  Forward method 
C)  Predictor method 
D)  Backward method

Question 7

What does logistic regression not do?

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

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 9

Which of the following is not a research question which could 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

Question 10

What is an alternative to logistic regression when the dependent variable has more than two classes?

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 11

In the above example, the mean is also equal to

Accepted Answer

A)  The mode 
B)  The probability of randomly drawing a 1 
C)  The median 
D)  The probability of drawing a 0 
A)  The mode 
B)  The probability of randomly drawing a 1 
C)  The median 
D)  The probability of drawing a 0

Question 12

With conventional coding in logistic regression of 0 and 1, if there are 100 cases and 40 are coded as 1, what is the mean of the variable?

Accepted Answer

A)  40 
B)  .4 
C)  2.5 
D)  25 
A)  40 
B)  .4 
C)  2.5 
D)  25

Question 13

What does the log-likelihood measure?

Accepted Answer

A)  The number of degrees of freedom in relation to the parameter set for the model 
B)  The way in which observed and predicted values fit the model of regression 
C)  The value of the correlation coefficient R and its corresponding R2 value 
D)  None of the above 
A)  The number of degrees of freedom in relation to the parameter set for the model 
B)  The way in which observed and predicted values fit the model of regression 
C)  The value of the correlation coefficient R and its corresponding R2 value 
D)  None of the above

Question 14

Collinearity diagnostics can be used for what purpose?

Accepted Answer

A)  To determine which predictor is causing the lowest value. 
B)  To determine which predictor is causing the highest value. 
C)  To determine the accuracy of the regression model. 
D)  To determine which predictor is causing the data to be skewed. 
A)  To determine which predictor is causing the lowest value. 
B)  To determine which predictor is causing the highest value. 
C)  To determine the accuracy of the regression model. 
D)  To determine which predictor is causing the data to be skewed.

Question 15

The odds of an event are

Accepted Answer

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

Question 16

Large log-likelihood values do not show

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 17

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 18

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 19

Logistic regression

Accepted Answer

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

Question 20

Multinomial logistic regression might be used to predict which of the following examples

Accepted Answer

A)  Men prefer to use non-scented ointment in the treatment of fungal infection, whilst women prefer to use scented powder varieties in preference to scented ointment. 
B)  Men use non-scented ointment to treat fungal infection. 
C)  Women use non-scented powder to treat fungal infection. 
D)  Women use scented powder to treat fungal infection whilst men use non-scented powder. 
A)  Men prefer to use non-scented ointment in the treatment of fungal infection, whilst women prefer to use scented powder varieties in preference to scented ointment. 
B)  Men use non-scented ointment to treat fungal infection. 
C)  Women use non-scented powder to treat fungal infection. 
D)  Women use scented powder to treat fungal infection whilst men use non-scented powder.

Exam 20: Categorical Outcomes: Logistic Regression

Which of the following is not an assumption of logistic regression?

Which of the following reasons best describes why overdispersion is a problem in logistic regression?

Logistic regression is used when you want to

What does the Wald statistic represent?

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

Which of the following is not used in logistic regression?

What does logistic regression not do?

The odds ratio is

Which of the following is not a research question which could be investigated with logistic regression?

What is an alternative to logistic regression when the dependent variable has more than two classes?

In the above example, the mean is also equal to

With conventional coding in logistic regression of 0 and 1, if there are 100 cases and 40 are coded as 1, what is the mean of the variable?

What does the log-likelihood measure?

Collinearity diagnostics can be used for what purpose?

The odds of an event are

Large log-likelihood values do not show

How would you request a logistic regression analysis in SPSS?

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

Logistic regression

Multinomial logistic regression might be used to predict which of the following examples

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Categorical Outcomes: Chi-Square and Loglinear Analysis

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