In Chapter 7, we saw:

- Scatterplots can show us relationships between two numeric variables.
- Correlation describes the strength and direction of linear relationships between two numeric variables.
- We call the \(X\) variable the
**explanatory**variable, because it*explains*the \(Y\) variable. - We call the \(Y\) variable the
**response**because it*responds*to changes in \(X\).

Where do we go from here?

- If correlation tells us how well the points fit around a line, what line do they fit around?
- How can we use this line to describe the relationship further?
- Can we use it to make predictions?