Linear Regression & Causal Models (in Excel)

This lesson introduces linear regression. We start by explaining the relationship between the dependent and independent variables explored in casual models. Next we develop a one variable regression and then expand to multiple linear regression in Excel. We then examine regression model outputs covering: multiple R, R2, adjusted R2, F-test, coefficients, T-test, and confidence intervals. The lesson concludes by using a regression model to make forecasts.
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