Chapter 3 Multiple linear regression

The multiple linear regression is an extension of the simple linear regression saw in Chapter 2. If the simple linear regression employed a single predictor $X$ to explain the response $Y$, the multiple linear regression employs multiple predictors $X_1,\ldots,X_k$ for explaining a single response $Y$: $$Y=\beta_0+\beta_1X_1+\beta_2X_2+\cdots+\beta_kX_k+\varepsilon$$ To convince you why is useful, let’s begin by seeing what it can deliver in real-case scenarios!