Analytic Resources

Relative Importance Analysis

Hartmann- Regression and Highly Correlated Variables: Relative Importance Analysis (Part 1)- 9:46

Hartmann- Regression and Highly Correlated Variables: Relative Importance Analysis (Part 2)- 10:14

Relative importance analysis: A better way to communicate multiple regression resultsMany industry clients are concerned about the relative importance of factors (X variables) that drive an outcome (Y). What are the…

Relative Weights - Statistics How ToRegression Analysis > Relative Weights What are Relative Weights? Johnson's Relative Weights is a way quantify the relative importance of correlated

What is Shapley Value Regression? | Displayr.comShapley Value regression is a technique for working out the relative importance of predictor variables in linear regression. Read more here.

The Difference Between Shapley Regression and Relative Weights | DisplayrStudies have shown that Shapley regression and Relative Weights provide surprisingly similar scores, despite being constructed in very different ways.

When to Use Relative Weights Over Shapley | DisplayrShapley regression has been gaining popularity in recent years and has been (re-)invented multiple times. However, relative weights, should be used instead.

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