13. The manager of a landscaping company collected data for an entire summer. Before each job he completely filled the gasoline tank for his mower. After each job, he recorded the square footage of the lawn that was mowed as well as how much gasoline remained in the tank. As expected, larger lawns left him with very little gasoline in the tank. At the end of the season he displayed the data in a scatterplot and saw that the relationship between lawn size and gas remaining was roughly linear. The value of r? was 0.85.Find and interpret the value of the correlation between the lawn size and the amount of gasoline remaining in the tank at the end of the job.​