For each of the scatter plots below, determine whether there is a perfect positive linear correlation, a strong positive linearcorrelation, a perfect negative linear correlation, a strong negative linear correlation, or no linear correlation between thevariables.Drag each of the scatter plots given above into the appropriate area beiow.perfect positive linear correlationstrong positive linear correlationperfect negative linear correlationstrong negative linear correlationno linear correlation

Answered: Image /qna-images/answer/2c485dba-c5b1-4f11-bfe5-d9e1b8ee3739.jpg

Answered: For each of the scatter plots below,…

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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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 time of the ride and the tip amount. Does it appear that riders base their tips on the time of the ride? Use a significance level of a=0.05. Click the icon to view the data on taxi rides. Construct a scatterplot. Choose the correct graph below. OA. 10- Time of the ride (minutes) The linear correlation coefficient is r= (Round to three decimal places as needed.) Taxi data B. C. G 40 Time of the ride (minutes) Time of the ride (minutes) Full data set Time Fare Tip Distance 0.29 2.64 10.84 14.05 1.12 1.58 1.12…
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For each of the scatter plots below, determine whether there is a perfect positive linear correlation, a strong positive linear correlation, a perfect negative linear correlation, a strong negative linear correlation, or no linear correlation between the variables.