Author Question: ___________ is a generalization of linear regression for predicting a categorical outcome variable. ... (Read 51 times)

eruditmonkey@yahoo.com · **on:** Jun 24, 2018

___________ is a generalization of linear regression for predicting a categorical outcome variable.
a. Multiple linear regression
b. Logistic regression
c. Discriminant analysis
d. Cluster analysis

Question 2

________________ is a measure that computes the dissimilarity between a cluster AB and a cluster C by averaging the distance between A and C and the distance between B and C.
a. Ward's method

b. Jaccard's coefficient
c. McQuitty's method

d. None of these.

poopface · **Reply #1 on:** Jun 24, 2018

Answer to Question 1

b
RATIONALE: Logistic regression is a generalization of linear regression for predicting a categorical outcome variable.

Answer to Question 2

c
RATIONALE: McQuitty's method is a measure that computes the dissimilarity between a cluster AB and a cluster C by averaging the distance between A and C and the distance between B and C.