The R-Squared $(R^2)$ of a regression is an indicator of how well the model explains variation in data. We have observations $\{y_i\}$ with mean $\mu_y$ and the predictions of our model $\{\hat{y_i}\}$.
$$R-Squared\; Near\; One\;$$
$$R-Squared\; Near\; Zero\;$$
