A.3.4 Practice Problems

The scatter plot shows the number of times a player came to bat and the number of hits they had.[br][br][img]data:image/png;base64,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[/img][br]         [br]The scatter plot includes a point at (318, 80). Describe the meaning of this point in this situation.[br]
The scatter plot shows the number of minutes people had to wait for service at a restaurant and the number of staff available at the time.[br][br][img]data:image/png;base64,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[/img][br][br]        [br]A line that models the data is given by the equation y = -1.62x + 1.8, where y represents the wait time, and x represents the number of staff available.[br][br]a. The slope of the line is -1.62. What does this mean in this situation? Is it realistic?[br][br]b. The y-intercept is (0, 18). What does this mean in this situation? Is it realistic?
A taxi driver records the time required to complete various trips and the distance for each trip.[br][br][img]data:image/png;base64,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[/img][br][br]         [br]The best fit line is given by the equation y = 0.467x + 0.417, where y represents the distance in miles, and x represents the time for the trip in minutes.[br][br]a. Use the best fit line to estimate the distance for a trip that takes 20 minutes. Show your reasoning.[br][br]b. Use the best fit line to estimate the time for a trip that is 6 miles long. Show your reasoning.
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Information: A.3.4 Practice Problems