The equation for the line of best fit is \( y=\frac{1}{10} x+4 \). In this context, what is the meaning of the slope? By driving 4 additional miles, the family could expect to see one additional out-of-state plate. By driving 10 additional miles, the family could expect to see one additional out-of-state plate. On a given trip, the family could expect to see at least 4 out-of-state plates. On a given trip, the family could expect to see plates from at least \( \frac{1}{10} \) of the states. Ther
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The slope of \( \frac{1}{10} \) in the equation indicates that for every additional 10 miles driven, the family can expect to see one more out-of-state license plate. This quantifies the relationship between the distance travelled and the number of unique plates observed, painting a clear picture of how miles correlate to out-of-state encounters. Additionally, the y-intercept of 4 suggests that even without additional mileage, the family would notice at least 4 out-of-state plates due to local traffic patterns or their starting point. This intersection of the line with the y-axis reflects a baseline expectation, showing that even short trips yield a minimum number of out-of-state sightings!