Use the information to answer questions 13 and 14 To compare the amount of time spent on recent service calls with the total amount charged for labor and parts, a repairman uses a scatter plot. He draws a line with the equation \( y=47.5 x+250 \) to model the data, where xis the time in hours spent on a call, and \( y \) is the total amount charged in dollars.

Did you know that scatter plots are not just useful for identifying trends but can also help predict future outcomes? In the case of this repairman, the line equation \( y = 47.5x + 250 \) allows him to estimate charges based on the hours spent on service calls. So, if he knows a service took 2 hours, he can easily calculate the expected charge by plugging in \( x = 2 \). When using scatter plots, a common mistake is misinterpreting the slope or y-intercept. The slope of 47.5 in this case indicates the cost per hour of service, while the y-intercept of 250 represents the fixed fee charged regardless of time spent. It's crucial to understand these components to accurately analyze and communicate the data!