Which method is commonly used to reduce the number of variables that need to be included in a regression analysis?
A)logistic regression
B)ordinary least squares
C)bootstrapping
D)factor analysis

Question

Quizplus · Accepted Answer

Factor analysis is commonly used to reduce the number of variables that need to be included in a regression analysis by identifying underlying factors that explain the correlations among the variables. These factors can then be used as predictor variables in the regression analysis, reducing the number of variables needed and potentially improving the accuracy of the model.

Which Method Is Commonly Used to Reduce the Number of Variables