The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a well-being test. Complete parts (a) through (d)CommuteTime (inminutes) Well-Being Scorebelow.Critical ValuesClick the icon to view the critical values for the correlation coefficient.769.81368.52467.6Critical Values for Correlation Coefficient3767.34966.2n7165.930.9979863.440.9500.878.....(a) Which variable is likely the explanatory variable and which is the response variable?0.81170.754O 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.8.0.707B. The explanatory variable is commute time and the response variable is the well-being score because commute time affects the well-being score.9.0.66610 0.63211 0.60212 0.57613 0.55314 0.53215 0.51416 0.49717 0.48218 0.46819 0.45620 0.44421 0.43322 0.42323 0.41324 0.40425 0.39626 0.38827 0.38128 0.37429 0.36730 0.361C. The explanatory variable is the well-being score and the response variable is commute time because commute time affects the well-being score.D. The explanatory variable is the well-being score and the response variable is commute time because well-being score affects the commute time.(b) Draw a scatter diagram of the data. Which of the following represents the data?A.В.OC.D.70-70-70-110-60-0+60Commute Time (min)60-60-110110Commute Time (min)11070Commute Time (min)Commute Time (min)(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?A. Yes, there appears to be a negative linear association because r is negative and is less than the negative of the critical value.B. No, there is no linear association since r is positive and is less than the critical value.C. Yes, there appears to be a positive linear association because r is positive and is less than the critical value.PrintDoneD. Yes, there appears to be a positive linear association because r is positive and is greater than the critical value.ScoreScore.....ScoreScore

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survey compa ugn (a) ommute Time (in minutes) Well-Being Score elow Critical Values O Click the icon to view the critical values for the correlation coefficient. 69.8 13 68.5 24 67.6 Critical Values for 37 67.3 49 66.2 65.9 63.4 71 98 a) Which variable is likely the explanatory variable and which is the response variable? OA. 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 afects the wel-being score. OD. The explanatory variable is the well-being score and the response variable is commute time because well-being score affects the commute time. b) Draw a scatter diagram of the data. Which of the following represents the data? OB. Oc. OD. 110 Commute Time Commute Tie i Commute Time min Commute Time min c) Determine the linear corelation coefficient between commute time and well-being score. Round to three decimal places as needed.)

survey compa ugn (a) ommute Time (in minutes) Well-Being Score elow Critical Values O Click the icon to view the critical values for the correlation coefficient. 69.8 13 68.5 24 67.6 Critical Values for 37 67.3 49 66.2 65.9 63.4 71 98 a) Which variable is likely the explanatory variable and which is the response variable? OA. 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 afects the wel-being score. OD. The explanatory variable is the well-being score and the response variable is commute time because well-being score affects the commute time. b) Draw a scatter diagram of the data. Which of the following represents the data? OB. Oc. OD. 110 Commute Time Commute Tie i Commute Time min Commute Time min c) Determine the linear corelation coefficient between commute time and well-being score. Round to three decimal places as needed.)

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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