Chris collects personal data on coffee consumption x (in cups) and the following night's sleep y (inhours). Fitting a linear regression to the data, Chris learns that the slope is -0.43. One evening Chrisuses his regression and predicts 6.47 hours of sleep. Then Chris remembers that his "coffee count"was off in making this estimate; Chris drank in an atypical additional 2 cups of coffee over lunchbreak. What should Chris' predicted sleep be (in hours)? Answer to the nearest 0.01 hours.(There is insufficient information here to produce the equation of the least squares line. You mayneed to look back in the course notes to find out how the slope is interpreted, and how that can beused to solve this problem.)

Given information: Slope of the regression line = - 0.43 β1=-0.43 (Given)y^=β0+-0.43·xy^=β0-0.43x

Answered: Chris collects personal data on coffee…

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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