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Author Question: ___________ is a generalization of linear regression for predicting a categorical outcome variable. ... (Read 66 times)

eruditmonkey@yahoo.com

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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.


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poopface

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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.


eruditmonkey@yahoo.com

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Reply 2 on: Jun 24, 2018
Gracias!

dyrone

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Reply 3 on: Yesterday
Wow, this really help

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