Every morning, Tania leaves for work a few minutes after 7:00 A.M. For eight days, she keeps track of the time she leaves (the number of minutes after 7:00) and the number of minutes it takes her to get to work. Following are the results. Time Leaving 13 14 16 30 20 12 9. 17 16 10 16 Length of Commute 27 20 23 45 20 21 20 28 27 23 30 a. Construct a scatterplot of the length of commute (y) versus the time leaving (x). b. Compute the least-squares regression line for predicting the length of commute from the time leaving. c. Compute the coefficient of determination. d. Which point is an outlier?

Every morning, Tania leaves for work a few minutes after 7:00 A.M. For eight days, she keeps track of the time she leaves (the number of minutes after 7:00) and the number of minutes it takes her to get to work. Following are the results. Time Leaving 13 14 16 30 20 12 9. 17 16 10 16 Length of Commute 27 20 23 45 20 21 20 28 27 23 30 a. Construct a scatterplot of the length of commute (y) versus the time leaving (x). b. Compute the least-squares regression line for predicting the length of commute from the time leaving. c. Compute the coefficient of determination. d. Which point is an outlier?

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Description: Every morning, Tania leaves for work a few minutes after 7:00 A.M. For eight days, she keepstrack of the time she leaves (the number of minutes after 7:00) and the number of minutes it takes her to get towork. Following are the results.Time Leaving1

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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