Question 1

Switchover points and full effects can be especially valuable interpretive tools in comparing marginal effects at representative values.

Accepted Answer

A) True 
 B)False  True

Question 2

The probability of an event can be expressed as a percentage between 0 and ______.

Accepted Answer

A)  10 
B)  50 
C)  75 
D)  100 
A)  10 
B)  50 
C)  75 
D)  100 D

Question 3

The natural log of a correct guess is called the ______ in logistic regression.

Accepted Answer

A)  logged likelihood 
B)  maximum likelihood 
C)  pseudo R-square 
D)  outcome 
A)  logged likelihood 
B)  maximum likelihood 
C)  pseudo R-square 
D)  outcome A

Question 4

A number that summarizes how well a model's predictions fit the observed data is called an estimator.

Accepted Answer

A) True 
 B)False

Question 5

To use logistic regression with a categorical dependent variable, at least one independent variable must be measured at the ______ level.

Accepted Answer

A)  nominal 
B)  ordinal 
C)  ratio 
D)  interval 
A)  nominal 
B)  ordinal 
C)  ratio 
D)  interval

Question 6

Marginal effects at the means and marginal effects at representative values are not mutually exclusive strategies for analyzing probabilities.

Accepted Answer

A) True 
 B)False

Question 7

MERs stands for ______ effects at representative values.

Accepted Answer

A)  minimal 
B)  maximum 
C)  marginal 
D)  multiple 
A)  minimal 
B)  maximum 
C)  marginal 
D)  multiple

Question 8

Logistic regression works well with multiple independent variables regardless of the level of measurement.

Accepted Answer

A) True 
 B)False

Question 9

The ______ of an event is equal to the number of times it occurs divided by the total number of chances for it to occur.

Accepted Answer

A)  odds 
B)  probability 
C)  logged odds 
D)  proportion 
A)  odds 
B)  probability 
C)  logged odds 
D)  proportion

Question 10

A natural logarithm is approximately equal to ______.

Accepted Answer

A)  2 
B)  2.5 
C)  2.72 
D)  2.83 
A)  2 
B)  2.5 
C)  2.72 
D)  2.83

Question 11

______ expresses a number as an exponent of some constant or base.

Accepted Answer

A)  Common logarithms 
B)  Logged odds 
C)  Odds 
D)  Probability 
A)  Common logarithms 
B)  Logged odds 
C)  Odds 
D)  Probability

Question 12

The relationship between the odds at one value of the independent variable compared with the odds at the next lower value of the independent variable is called the ______.

Accepted Answer

A)  common logarithm 
B)  likelihood function 
C)  logit 
D)  odds ratio 
A)  common logarithm 
B)  likelihood function 
C)  logit 
D)  odds ratio

Question 13

The marginal effects at the medium approach is useful when more than one independent variable is measured at the interval-level and researches want to convey the effect of one interval-level independent variable on the probability of the outcome, while other interval-level independent variables are help constant at their mean values.

Accepted Answer

A) True 
 B)False

Question 14

Which of the following tells the researcher how completely the independent variable explains the dependent variable.

Accepted Answer

A)  Z-score 
B)  $\chi$2 
C)  Pearson's r 
D)  R-square 
A)  Z-score 
B)  $\chi$2 
C)  Pearson's r 
D)  R-square

Question 15

If there is a .10 probability of an event happening, there is a .90 chance of the event not happening and the odds of the event are ______.

Accepted Answer

A)  .02 
B)  .07 
C)  .11 
D)  .57 
A)  .02 
B)  .07 
C)  .11 
D)  .57

Question 16

The likelihood function can take on any value between 0 and 100.

Accepted Answer

A) True 
 B)False

Question 17

The ______ of an outcome are a ratio of the number of expected occurrences to the number of occurrences of other outcome(s).

Accepted Answer

A)  probability 
B)  odds 
C)  proportion 
D)  chances 
A)  probability 
B)  odds 
C)  proportion 
D)  chances

Question 18

Logistic regression estimates the ______ effects at the means when using more than one independent variable.

Accepted Answer

A)  marginal 
B)  maximum 
C)  minimum 
D)  micro 
A)  marginal 
B)  maximum 
C)  minimum 
D)  micro

Question 19

Both OLS and logistic regression are flexible in that they permit the use of multiple independent variables, including dummy independent variables.

Accepted Answer

A) True 
 B)False

Question 20

Maximum likelihood estimation (MLE) is the heart and soul of logistic regression.

Accepted Answer

A) True 
 B)False

Switchover points and full effects can be especially valuable interpretive tools in comparing marginal effects at representative values.

The probability of an event can be expressed as a percentage between 0 and ______.

The natural log of a correct guess is called the ______ in logistic regression.

A number that summarizes how well a model's predictions fit the observed data is called an estimator.

To use logistic regression with a categorical dependent variable, at least one independent variable must be measured at the ______ level.

Marginal effects at the means and marginal effects at representative values are not mutually exclusive strategies for analyzing probabilities.

MERs stands for ______ effects at representative values.

Logistic regression works well with multiple independent variables regardless of the level of measurement.

The ______ of an event is equal to the number of times it occurs divided by the total number of chances for it to occur.

A natural logarithm is approximately equal to ______.

______ expresses a number as an exponent of some constant or base.

The relationship between the odds at one value of the independent variable compared with the odds at the next lower value of the independent variable is called the ______.

Which of the following tells the researcher how completely the independent variable explains the dependent variable.

If there is a .10 probability of an event happening, there is a .90 chance of the event not happening and the odds of the event are ______.

The likelihood function can take on any value between 0 and 100.

The ______ of an outcome are a ratio of the number of expected occurrences to the number of occurrences of other outcome(s).

Logistic regression estimates the ______ effects at the means when using more than one independent variable.

Both OLS and logistic regression are flexible in that they permit the use of multiple independent variables, including dummy independent variables.

Maximum likelihood estimation (MLE) is the heart and soul of logistic regression.

The Definition and Measurement of Concepts

Measuring and Describing Variables

Proposing Explanations, Framing Hypotheses, and Making Comparisons

Research Design, Research Ethics, and Evidence of Causation

Making Controlled Comparisons

Foundations of Statistical Inference

Tests of Significance and Measures of Association

Correlation and Linear Regression

Filters

Exam 9: Logistic Regression

Switchover points and full effects can be especially valuable interpretive tools in comparing marginal effects at representative values.

The probability of an event can be expressed as a percentage between 0 and ______.

The natural log of a correct guess is called the ______ in logistic regression.

A number that summarizes how well a model's predictions fit the observed data is called an estimator.

To use logistic regression with a categorical dependent variable, at least one independent variable must be measured at the ______ level.

Marginal effects at the means and marginal effects at representative values are not mutually exclusive strategies for analyzing probabilities.

MERs stands for ______ effects at representative values.

Logistic regression works well with multiple independent variables regardless of the level of measurement.

The ______ of an event is equal to the number of times it occurs divided by the total number of chances for it to occur.

A natural logarithm is approximately equal to ______.

______ expresses a number as an exponent of some constant or base.

The relationship between the odds at one value of the independent variable compared with the odds at the next lower value of the independent variable is called the ______.

Which of the following tells the researcher how completely the independent variable explains the dependent variable.

If there is a .10 probability of an event happening, there is a .90 chance of the event not happening and the odds of the event are ______.

The likelihood function can take on any value between 0 and 100.

The ______ of an outcome are a ratio of the number of expected occurrences to the number of occurrences of other outcome(s).

Logistic regression estimates the ______ effects at the means when using more than one independent variable.

Both OLS and logistic regression are flexible in that they permit the use of multiple independent variables, including dummy independent variables.

Maximum likelihood estimation (MLE) is the heart and soul of logistic regression.

The Definition and Measurement of Concepts

Measuring and Describing Variables

Proposing Explanations, Framing Hypotheses, and Making Comparisons

Research Design, Research Ethics, and Evidence of Causation

Making Controlled Comparisons

Foundations of Statistical Inference

Tests of Significance and Measures of Association

Correlation and Linear Regression

Filters