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Use the time/tip data from the table below, which includes data from New York City taxi rides. (The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars.) Find the regression equation, letting time be the predictor (x) variable. Find the best predicted tip for a ride that takes 22 minutes. How does the result compare to the actual tip amount of $5.05? Distance 1.40 0.68 0.49 1.32 12.71 1.65 1.80 18.00 6.00 2.00 8.00 27.00 11.00 25.00 12.30 6.30 4.80 7.80 36.80 9.80 16.30 2.46 1.89 0.00 0.00 0.00 1.96 1.50 Time Fare Tip 2.47 O 18.00 14.30 4.29 The regression equation is y=+x. (Round the y-intercept to two decimal places as needed. Round the slope to four decimal places as needed.) The best predicted tip for a ride that takes 22 minutes is $ Round to the nearest cent as needed.) How does the result compare to the actual tip amount of $5.05?

Use the time/tip data from the table below, which includes data from New York City taxi rides. (The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars.) Find the regression equation, letting time be the predictor (x) variable. Find the best predicted tip for a ride that takes 22 minutes. How does the result compare to the actual tip amount of $5.05? Distance 1.40 0.68 0.49 1.32 12.71 1.65 1.80 18.00 6.00 2.00 8.00 27.00 11.00 25.00 12.30 6.30 4.80 7.80 36.80 9.80 16.30 2.46 1.89 0.00 0.00 0.00 1.96 1.50 Time Fare Tip 2.47 O 18.00 14.30 4.29 The regression equation is y=+x. (Round the y-intercept to two decimal places as needed. Round the slope to four decimal places as needed.) The best predicted tip for a ride that takes 22 minutes is $ Round to the nearest cent as needed.) How does the result compare to the actual tip amount of $5.05?

A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Use the time/tip data from the table below, which includes data from New York City taxi rides. (The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars.) Find the regression equation, letting time be the predictor (x) variable. Find the best predicted tip for a ride that takes 22 minutes. How does the result compare to the actual tip amount of $5.05? Distance 1.40 0.68 0.49 1.32 18.00 6.00 2.00 8.00 12.30 6.30 4.80 7.80 2.46 1.89 0.00 0.00 Time Fare Tip 12.71 1.65 1.80 27.00 11.00 25.00 36.80 9.80 16.30 0.00 1.96 1.50 ... 2.47 D 18.00 14.30 4.29 The regression equation is y = y=+x. (Round the y-intercept to two decimal places as needed. Round the slope to four decimal places as needed.) The best predicted tip for a ride that takes 22 minutes is $ (Round to the nearest cent as needed.) How does the result compare to the actual tip amount of $5.05?
Transcribed Image Text:Use the time/tip data from the table below, which includes data from New York City taxi rides. (The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars.) Find the regression equation, letting time be the predictor (x) variable. Find the best predicted tip for a ride that takes 22 minutes. How does the result compare to the actual tip amount of $5.05? Distance 1.40 0.68 0.49 1.32 18.00 6.00 2.00 8.00 12.30 6.30 4.80 7.80 2.46 1.89 0.00 0.00 Time Fare Tip 12.71 1.65 1.80 27.00 11.00 25.00 36.80 9.80 16.30 0.00 1.96 1.50 ... 2.47 D 18.00 14.30 4.29 The regression equation is y = y=+x. (Round the y-intercept to two decimal places as needed. Round the slope to four decimal places as needed.) The best predicted tip for a ride that takes 22 minutes is $ (Round to the nearest cent as needed.) How does the result compare to the actual tip amount of $5.05?
K Use the time/tip data from the table below, which includes data from New York City taxi rides. (The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars.) Find the regression equation, letting time be the predictor (x) variable. Find the best predicted tip for a ride that takes 22 minutes. How does the result compare to the actual tip amount of $5.05? Distance 1.40 0.68 0.49 1.32 12.71 1.65 18.00 6.00 2.00 8.00 27.00 4.80 7.80 36.80 12.30 6.30 2.46 1.89 0.00 Time Fare Tip O 0 0 0 1.80 11.00 25.00 16.30 1.50 9.80 0.00 0.00 1.96 How does the result compare to the actual tip amount of $5.05? A. The best predicted value is very different from the actual tip of $5.05. 2.47 18.00 14.30 4.29 B. The best predicted value is close to the actual tip of $5.05. C. The best predicted value is exactly the same as the actual tip of $5.05. D. The result does not make sense given the context of the data.
Transcribed Image Text:K Use the time/tip data from the table below, which includes data from New York City taxi rides. (The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars.) Find the regression equation, letting time be the predictor (x) variable. Find the best predicted tip for a ride that takes 22 minutes. How does the result compare to the actual tip amount of $5.05? Distance 1.40 0.68 0.49 1.32 12.71 1.65 18.00 6.00 2.00 8.00 27.00 4.80 7.80 36.80 12.30 6.30 2.46 1.89 0.00 Time Fare Tip O 0 0 0 1.80 11.00 25.00 16.30 1.50 9.80 0.00 0.00 1.96 How does the result compare to the actual tip amount of $5.05? A. The best predicted value is very different from the actual tip of $5.05. 2.47 18.00 14.30 4.29 B. The best predicted value is close to the actual tip of $5.05. C. The best predicted value is exactly the same as the actual tip of $5.05. D. The result does not make sense given the context of the data.
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