Use the time/tip data from the table below, which includes data from New York City taxi rides. (The distances arein 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 30 minutes. How does the resultcompare to the actual tip amount of $4.70?Distance 0.49 0.682.47 1.32 1.021.65 8.5111.00 31.00 18.002.00 6.008.004.80 6.30 9.80 31.75 14.30 7.80 7.800.00 1.89 1.962.98 4.29 0.00 2.34TimeFareTip1.808.00 25.0016.301.50The regression equation is ŷ = + (x.X.(Round the y-intercept to two decimal places as needed. Round the slope to four decimal places as needed.)

We have to predict the tip for the ride in dollars, using the independent variable, as time in…

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 30 minutes. How does the resu compare to the actual tip amount of $4.70? Distance 0.49 0.68 1.65 8.51 Time 2.00 6.00 11.00 31.00 Fare 4.80 6.30 9.80 31.75 Tip 0.00 1.89 1.96 2.47 1.32 1.02 1.80 4 25.00 18.00 8.00 8.00 7.80 7.80 14.30 16.30 2.98 4.29 0.00 2.34 1.50 The regression equation is ŷ = + (x. (Round the y-intercept to two decimal places as needed. Round the slope to four decimal places as needed.)

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 30 minutes. How does the resu compare to the actual tip amount of $4.70? Distance 0.49 0.68 1.65 8.51 Time 2.00 6.00 11.00 31.00 Fare 4.80 6.30 9.80 31.75 Tip 0.00 1.89 1.96 2.47 1.32 1.02 1.80 4 25.00 18.00 8.00 8.00 7.80 7.80 14.30 16.30 2.98 4.29 0.00 2.34 1.50 The regression equation is ŷ = + (x. (Round the y-intercept to two decimal places as needed. Round the slope to four decimal places as needed.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 6PPS

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