Description

Zero-order, part and partial correlations.

Usage

Arguments

Details

ols_correlations() returns the relative importance of independent variables in determining response variable. How much each variable uniquely contributes to rsquare over and above that which can be accounted for by the other predictors? Zero order correlation is the Pearson correlation coefficient between the dependent variable and the independent variables. Part correlations indicates how much rsquare will decrease if that variable is removed from the model and partial correlations indicates amount of variance in response variable, which is not estimated by the other independent variables in the model, but is estimated by the specific variable.

Value

ols_correlations returns an object of class "ols_correlations". An object of class "ols_correlations" is a data frame containing the following components:

References

Morrison, D. F. 1976. Multivariate statistical methods. New York: McGraw-Hill.

Examples