The data in the table to the right are based on the results of a survey comparing -UO A.70-460+0110Time (min)QQO B.1100-6070Time (min)O C.470+60+0Commute TimeHCCScore110QQWell-BeingO D.110+OTH60Score70QQP(c) Determine the linear correlation coefficient between commute time and well-being score.r= (Round to three decimal places as needed.)(d) Does a linear relation exist between the commute time and well-being index score? Select the correct choice below and fill in the answer box to complete yourchoice. KThe data in the table to the right are based on the results of a survey comparingthe commute time of adults to their score on a well-being test. Complete parts (a)through (d) below.Click the icon to view the table of critical values of the correlation coefficient.C(a) which variable is likely the explanatory variable and which is the response variable?Commute Time(in minutes)4162335487298Well-BeingScore69.268.467.267.166.566.163.8O A. The explanatory variable is commute time and the response variable is the well-being score because well-being score affects the commute time score.OB. The explanatory variable is commute time and the response variable is the well-being score because commute time affects the well-being score.OC. The explanatory variable is the well-being score and the response variable is commute time because commute time affects the well-being score.O D. The explanatory variable is the well-being score and the response variable is commute time because well-being score affects the commute time.1

Commute time (in minutes) Well-Being Score 4 69.2 16 68.4 23 67.2 35 67.1 48 66.5 72…

Answered: The data in the table to the right are…

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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Similar questions

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use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?
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An electronics retailer would like to investigate the relationship between the selling price of a certain digital camera model and the demand for it. The accompanying table shows the weekly demand for the camera in one particular market along with the corresponding price. Determine the sample correlation coefficient between the selling price and the demand for this camera. Click the icon to view the demand and price data. r = (Round to three decimal places as needed.) Demand and Price Demand Price 18 320 19 330 15 340 15 350 12 360 12 370 8 380 Print Done
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Statistics Question
You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 66 20 75 32 44 31 44 36 19 23 65 29 61 22 58 25 71 27 Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient r = Find the p-value p-value =
(e)
You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 64 32 55 30 72 36 34 30 31 18 16 29 21 22 32 18 46 24 46 31 Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Greater than αα Less than (or equal to) αα The p-value leads to a decision to Do Not Reject Ho Reject Ho Accept Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths. There is…
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Susan, a personal trainer, was interested in whether or not there was a linear relationship between the number of visits her clients made to the gym each week and the average amount of time her clients exercised per visit. She took the following data. Client 1 2 3 4 5 6 Number of visits per week 1 3 4 2 3 5 Average time spent exercising per visit (hours) 2 1.5 1 2 2 0.30 Is the correlation coefficient significant? Group of answer choices No Yes Perhaps Insufficient Information to make a decision

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