A transportation engineer wants to determine the number of vehicles that drive through an intersection on a given day. The following table shows the total number of vehicles that drove through the intersection over a 10-hour period. The transportation engineer determines that the linear function that best models the data is, y = -16.7333 + 52.7515x where y represents the total number of vehicles that drove through the intersection and x represents the number of hours. The following graph shows the residuals for this function.


Choose all that are true

The residual plot shows a quadratic pattern


The residual after 6 hours of observing the intersection is about -8.7758


The difference between the predicted and actual number of vehicles is increasing at a constant rate


The difference between the predicted and actual number of vehicles is between -11 and 11 for all 10 hours


The fitted linear function that predicts the total number of vehicles at any given hour is a good fir for the data