The data partitioning procedure that can search up to 300 variables for the single best predictor of a dependent variable is called _____.
A) cross-tabulation
B) regression
C) automatic interaction detection
D) data mining
E) factor analysis

Question

Quizplus · Accepted Answer

The data partitioning procedure that can search up to 300 variables for the single best predictor of a dependent variable is called Automatic Interaction Detection (AID). Cross-tabulation is a method of showing the relationship between two categorical variables. Regression is a statistical analysis used to examine the relationship between one dependent variable and one or more independent variables. Data mining is the process of discovering patterns in large amounts of data. Factor analysis is a statistical method used to describe variability among observed variables in terms of a potentially lower number of unobserved variables called factors.

The Data Partitioning Procedure That Can Search Up to 300