Hierarchical Multiple Regression

What is hierarchical multiple regression's primary objective?

to determine how much variance in the response variable is explained by each predictor, considering the other predictors' influence

What is it useful for?

for exploring and understanding the complex relationships between multiple predictors and a single outcome

hierarchical regression equation

Y = β₀ + β₁X₁ + β₂X₂ + ... + βᵤXᵤ + ɛ

Involves what type of variables?

one dependent variable and two or more predictor variables (independent variables)

What does it ask?

how much variance in the dependent variable can be explained by each predictor variable

What analysis does it provide?

regression coefficients for each predictor variable and measures of model fit (R-squared)

What does it help us understand?

how predictors individually impact the dependent variable