Question

QUESTION 1

1. Logistic regression is a specialized form of regression that is designed to predict _________ variables rather than numeric dependent measure.

   		Three groups categorical
   		A binary categorical
   		Three groups numeric
   		A binary numeric

1 points   

QUESTION 2

1. ____________ is a table that is often used to describe the performance of a classification model on a set of test data for which the true values are known.

   		ANOVA
   		Effect summary
   		Parameter estimate
   		Confusion matrix

1 points   

QUESTION 3

1. In logistic regression analysis, instead of Y as a dependent variable, we use a function of Y called as ______.

   		Logit
   		Odds ratio
   		Odds
   		Log of Y

1 points   

QUESTION 4

1. Odds ratio is defined as ___________________, where p is the probability of success.

   		p/(p-1)
   		1/(p-1)
   		p/(1-p)
   		1/(1-p)

Answer 1

QUESTION 1

Logistic regression is a specialized form of regression that is designed to predict A binary categorical variables rather than numeric dependent measure.

QUESTION 2

Confusion matrix is a table that is often used to describe the performance of a classification model on a set of test data for which the true values are known.

QUESTION 3

In logistic regression analysis, instead of Y as a dependent variable, we use a function of Y called as Logit.

QUESTION 4

Odds ratio is defined as p/(1-p) , where p is the probability of success.