Given a dataset $X$ with $n$ observations, let $\mu$ be the mean and $\sigma^2$ be the population variance. Suppose we apply the linear transformation $Y = aX + b$. Which of the following correctly describes the relationship between the variance of $Y$ ($\sigma_Y^2$) and the variance of $X$ ($\sigma_X^2$)?