A study finds that as the number of firefighters at a fire ($x$) increases, so does the property damage ($y$), yielding $R^2 = 0.95$. What is the correct conclusion?

More firefighters cause more damage

The linear model fits the data well, but does not prove causation

The model is unreliable because $R^2$ is too high

Fewer firefighters should be sent to reduce damage

Which statement about the Coefficient of Determination $R^2$ is TRUE?

$R^2$ can be greater than 1 for a perfect fit

$R^2 = 0$ means the model perfectly fits the data

A value of $R^2$ close to 1 indicates the model fits the data well

A high $R^2$ always proves that $x$ causes $y$