Statistics and Probability · Regression

Multiple regression and model fit

Predicting an outcome from several variables at once, and judging how well the resulting model actually fits.

Also known as: multiple predictors, R-squared, residual analysis.

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• Linear regression: Fitting a straight line that best predicts one variable from another, and reading its slope as an effect size.

Related topics

• Bayesian inference: Updating a starting belief about a parameter into a revised belief, using Bayes' theorem and observed data.