rediction focuses on the outcome `\(\color{#6A5ACD}{\hat{Y_{i}}}\)`, causal inference on a coefficient `\(\color{#e64173}{\hat{\beta_0}}\)`. --&gt;
&lt;!-- 2. **Selection bias** is a problem for causal inference, but not predictive or descriptive analysis. --&gt;
&lt;!-- 3. **Interpretion:** Coefficients have meaning in causal inference and descriptive analysis, but little meaning in prediction. --&gt;


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# Prediction

`$$\color{#6A5ACD}{Y_i} = f(x_{0i}, x_{1i}, ..., x_{Ni}) = \color{#e64173}{\beta_0} x_