The table and scatter plot show the revenue of a small convenience store from 2012 to 2020. The line of fit represents the predicted revenue y, in thousands of dollars, x years after 2012. Complete the statements to analyze the residuals.

Year Revenue (thousands of dollars)

2012 365
2013 338
2014 367
2015 379
2016 371
2017 380
2018 384
2019 381
2020 390
The number of positive residuals is

The number of negative residuals is

The smallest residual is

The largest residual is in the year .

Does the largest residual correspond to an outlier in the data?
Enter yes or no.