QuestionJuly 11, 2025

The order of entry begins with the predictor most strongly correlated with the dependent variable and calculates partial correlations for the remaining variables to determine their order. This type of inclusion is termed: stepwise. ) standard (simultaneous) hierarchical absolution.

The order of entry begins with the predictor most strongly correlated with the dependent variable and calculates partial correlations for the remaining variables to determine their order. This type of inclusion is termed: stepwise. ) standard (simultaneous) hierarchical absolution.
The order of entry begins with the predictor most strongly correlated with the
dependent variable and calculates partial correlations for the remaining
variables to determine their order. This type of inclusion is termed:
stepwise.
) standard (simultaneous)
hierarchical
absolution.

Solution
4.7(143 votes)

Answer

hierarchical. Explanation This question pertains to statistical methods for including variables in regression analysis. The described method involves entering predictors based on their correlation with the dependent variable, which aligns with hierarchical inclusion.

Explanation

This question pertains to statistical methods for including variables in regression analysis. The described method involves entering predictors based on their correlation with the dependent variable, which aligns with hierarchical inclusion.
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