Question 1

In logistic regression, ________ is used as a goodness-of-fit test.
A) deviance
B) Pearson
C) Hosmer-Lemeshow
D) All of the choices are correct.

Accepted Answer

The Hosmer-Lemeshow test is used as a goodness-of-fit test for logistic regression.

Question 2

Neural networks are common for large data mining projects to analyze a data set involving millions of observations.

Accepted Answer

Neural networks are common for large data mining projects to analyze a data set involving millions of observations.

Question 3

After calculating the squared differences in linear discriminate analysis, you can estimate the probability of how that specific observation fares with regard to the categorical outcome.

Accepted Answer

After calculating the squared differences in linear discriminate analysis, you can estimate the probability of how that specific observation fares with regard to the categorical outcome.

Question 4

In linear discriminate analysis we calculate the means of the predictor variable values for the observations belonging to both categories that are in the data set.

Accepted Answer

We calculate the means of the predictor variable values for the observations belong to only that specific category.

Question 5

In logistic regression,
A) the dependent variable is continuous.
B) the dependent variable is divided into two equal subcategories.
C) the dependent variable is categorical.
D) there is no dependent variable.

Accepted Answer

There is no dependent variable in logistic regression.

Question 6

In logistic regression, deviance is a measure of difference between a ________ model and the ________ model.
A) saturated, fitted
B) fitted, saturated

Accepted Answer

In logistic regression, deviance is a measure of difference between a fitted model and the saturated model.

Question 7

The dependent variable in logistic regression can take on values of 0 and 1.

Accepted Answer

The dependent variable in logistic regression can only take on values of 0 and 1.

Question 8

The probability of a new employee passing a test is .20. What are the odds of the employee passing the test?
A) .20
B) .25
C) .80
D) .75

Accepted Answer

.20 = (2 successes)/(10 total tries), so odds = (2 successes/8 misses) = .25.

Question 9

When we compare the squared differences in linear discriminate analysis we are looking for the larger value to predict the outcome of that data point.

Accepted Answer

We look for the smaller squared difference in linear discriminate analysis.

Question 10

The odds of an event occurring is the probability that the event will occur divided by the probability that the event will not occur.

Accepted Answer

Odds of an event = P(Event will occur)/P(Event will not occur)

Question 11

Since the neural network model employs many parameters, there is a danger that we will overfit the model.

Accepted Answer

Neural network models always pose a threat that the model will be overfitted.

Question 12

In linear discriminate analysis we compare squared differences to see where a particular data point lies in relation to the categorical outcome.

Accepted Answer

In linear discriminate analysis we compare squared differences to see where a particular data point lies in relation to the categorical outcome.

Question 13

Squared distances can be used in two different ways in linear discriminate analysis.

Accepted Answer

Squared distances can be used to classify new objects and show differences in groups.

Question 14

Which of the following methods do we use to best fit the data in logistic regression?
A) Least square error
B) Maximum likelihood
C) Exponential decay
D) Both least square error and exponential decay

Accepted Answer

Maximum likelihood is the method used for fitting data in logistic regression.

Question 15

The ________ regression method is used when the response variable is a qualitative or a categorical variable.
A) quadratic
B) logistic
C) multiple
D) simple

Accepted Answer

The logistic regression method is used when the response variable is a qualitative or a categorical variable.

Question 16

Which of the following tests can be used to assess whether the logistic regression model is a good fit?
A) Homer-Lemeshow test
B) Pearson
C) ROC curve
D) All of the choices are correct.

Accepted Answer

Only the Homer-Lemeshow test can be used to assess whether the logistic regression model is a good fit.

Question 17

In logistic regression, the goal is to find
A) the actual value of the dependent variable.
B) the odds of the dependent variable.
C) the log of the dependent variable.
D) None of the choices are correct.

Accepted Answer

The goal of logistic regression is to find the log of the dependent variable.

Question 18

A soccer player takes a shot on goal 15 times and scores a goal 3 of those attempts. What are the odds of the soccer player scoring a goal?
A) 3/15
B) 5
C) 4
D) 3/12

Accepted Answer

Odds = (3 successes)/(12 failures)

Question 19

The hidden node function in neural networks is usually linear.

Accepted Answer

The hidden node function is usually nonlinear.

Question 20

Logistic regression is used when you want to
A) predict a categorical variable from continuous or categorical variables.
B) predict a continuous variable from categorical variables.
C) predict any categorical variable from other categorical variables.
D) predict a continuous variable from a categorical variable.

Accepted Answer

Logistic regression is used when you want to predict a categorical variable from continuous or categorical variables.

Quiz 16: Predictive Analytics Ii: Logistic Regression, Discriminate Analysis,

In logistic regression, ________ is used as a goodness-of-fit test.

Neural networks are common for large data mining projects to analyze a data set involving millions of observations.

After calculating the squared differences in linear discriminate analysis, you can estimate the probability of how that specific observation fares with regard to the categorical outcome.

In linear discriminate analysis we calculate the means of the predictor variable values for the observations belonging to both categories that are in the data set.

In logistic regression,

In logistic regression, deviance is a measure of difference between a model and the model.

The dependent variable in logistic regression can take on values of 0 and 1.

The probability of a new employee passing a test is .20. What are the odds of the employee passing the test?

When we compare the squared differences in linear discriminate analysis we are looking for the larger value to predict the outcome of that data point.

The odds of an event occurring is the probability that the event will occur divided by the probability that the event will not occur.

Since the neural network model employs many parameters, there is a danger that we will overfit the model.

In linear discriminate analysis we compare squared differences to see where a particular data point lies in relation to the categorical outcome.

Squared distances can be used in two different ways in linear discriminate analysis.

Which of the following methods do we use to best fit the data in logistic regression?

The ________ regression method is used when the response variable is a qualitative or a categorical variable.

Which of the following tests can be used to assess whether the logistic regression model is a good fit?

In logistic regression, the goal is to find

A soccer player takes a shot on goal 15 times and scores a goal 3 of those attempts. What are the odds of the soccer player scoring a goal?

The hidden node function in neural networks is usually linear.

Logistic regression is used when you want to