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 20 minutes. How does the result compare to the actual tip amount of ​$4.55​?   Distance 1.40 1.65 0.68 1.32 8.51 1.80 1.02 12.71   Time 18.00 11.00 6.00 8.00 31.00 25.00 8.00 27.00   Fare 12.30 9.80 6.30 7.80 31.75 16.30 7.80 36.80 Tip 2.46 1.96 1.89 0.00 2.98 1.50 2.34 0.00 The regression equation is y=enter your response here+enter your response herex. ​(Round the​ y-intercept to two decimal places as needed. Round the slope to four decimal places as​ needed.)   The best predicted tip for a ride that takes 20 minutes is ​$enter your response here. ​(Round to the nearest cent as​ needed.)

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ISBN:9781337282291
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Section3.5: Mathematical Modeling And Variation
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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 20
minutes. How does the result compare to the actual tip amount of ​$4.55​?
 
Distance
1.40
1.65
0.68
1.32
8.51
1.80
1.02
12.71
 
Time
18.00
11.00
6.00
8.00
31.00
25.00
8.00
27.00
 
Fare
12.30
9.80
6.30
7.80
31.75
16.30
7.80
36.80
Tip
2.46
1.96
1.89
0.00
2.98
1.50
2.34
0.00
The regression equation is
y=enter your response here+enter your response herex.
​(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 20 minutes is
​$enter your response here.
​(Round to the nearest cent as​ needed.)
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