The table below includes data from taxi rides. The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars. Is there sufficient evidence to conclude that there is a linear correlation between the time of the ride and the tip amount? Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a = 0.01. Does it appear that riders base their tips on the time of the ride? Click here for information on the taxi rides. Construct a scatterplot. Choose the correct graph below. OA. 25- OB. 25 0 35 Ride time (minutes) Determine the linear correlation coefficient. The linear correlation coefficient is r = 0.298 (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: P H₁: P (Type integers or decimals. Do not round.) 0- 0 35 G Ride time (minutes) Taxi data ip Amount ($) C. 25- 35 Ride time (minutes) OD. Q 25- Tip Amount ($) 0 35 G Ride time (minutes) Distance Time Fare Tip 0.71 2.46 8.53 6.00 18.00 31.00 6.30 14.30 31.75 36.80 1.89 4.29 2.98 0.00 12.71 1.65 1.02 1.32 0.49 27.00 11.00 8.00 8.00 2.00 9.80 7.80 7.80 4.80 1.96 2.34 0.00 0.00 0
The table below includes data from taxi rides. The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars. Is there sufficient evidence to conclude that there is a linear correlation between the time of the ride and the tip amount? Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a = 0.01. Does it appear that riders base their tips on the time of the ride? Click here for information on the taxi rides. Construct a scatterplot. Choose the correct graph below. OA. 25- OB. 25 0 35 Ride time (minutes) Determine the linear correlation coefficient. The linear correlation coefficient is r = 0.298 (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: P H₁: P (Type integers or decimals. Do not round.) 0- 0 35 G Ride time (minutes) Taxi data ip Amount ($) C. 25- 35 Ride time (minutes) OD. Q 25- Tip Amount ($) 0 35 G Ride time (minutes) Distance Time Fare Tip 0.71 2.46 8.53 6.00 18.00 31.00 6.30 14.30 31.75 36.80 1.89 4.29 2.98 0.00 12.71 1.65 1.02 1.32 0.49 27.00 11.00 8.00 8.00 2.00 9.80 7.80 7.80 4.80 1.96 2.34 0.00 0.00 0
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:The table below includes data from taxi rides. The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars. Is there sufficient evidence to conclude that
there is a linear correlation between the time of the ride and the tip amount? Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether
there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a = 0.01. Does it appear that riders base their tips on the time of the ride?
Click here for information on the taxi rides.
Construct a scatterplot. Choose the correct graph below.
OA.
25-
OB.
25
0
35
Ride time (minutes)
Determine the linear correlation coefficient.
The linear correlation coefficient is r = 0.298
(Round to three decimal places as needed.)
Determine the null and alternative hypotheses.
Ho: P
H₁: P
(Type integers or decimals. Do not round.)
0-
0
35 G
Ride time (minutes)
Taxi data
ip Amount ($)
C.
25-
35
Ride time (minutes)
OD.
Q
25-
Tip Amount ($)
0
35 G
Ride time (minutes)
Distance
Time
Fare
Tip
0.71 2.46 8.53
6.00 18.00 31.00
6.30 14.30 31.75 36.80
1.89 4.29 2.98 0.00
12.71
1.65
1.02
1.32
0.49
27.00
11.00
8.00
8.00
2.00
9.80
7.80 7.80
4.80
1.96
2.34
0.00 0.00
0
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