Exercise

# Nonlinear relationship

Covariance and correlation measure the strength of a *linear* relationship.

If these metrics are low, it doesn't mean that the variables are not related at all!

In some cases, you can achieve linearity using a transformation of one or more of the variables. If your data is heavily skewed, a log-transformation usually helps.

In your environment, you can find the `houses`

data frame with two variables: `area`

and `price`

.

Instructions 1/2

**undefined XP**

- Draw a scatter plot of
`price`

explained by`area`

from the`houses`

data frame; are the variables related? - Compute the correlation coefficient between
`price`

and`area`

; what does the result tell about the relationship between variables?