A linear regression analysis is used to analyze the relationship of the sleeptime the night before the exam (minutes) and the midterm score (points).The results are shown below.SUMMARY OUTPUTMultiple RR SquareAdjusted R SquareStandard ErrorObservationsANOVARegression StatisticsRegressionResidualTotal0.9817120.9637580.9592282.204662df10SSMSF ignificance F1 1034.016 1034.016 212.7371 4.79E-078 38.88427 4.86053491072.9Coefficientsandard Err t Stat P-value Lower 95%Upper 95%ower 95.0%pper 95.0%12.10246 4.971651 2.434294 0.040927 0.637811 23.56711 0.637811 23.567110.204902 0.014048 14.58551 4.79E-07 0.172506 0.237297 0.172506 0.237297InterceptSleep TimeWhich statement aligns with the result?A. Linear regression is not suitable for this analysis because R Square is0.963758B. The relationship is not linear since Multiple R is too high at 0.981412C. The student shall sleep at least 204.902 minutes before the examD. The student shall sleep at least 12.10246 minutes before the examE. If the student sleeps 1 more hour, the score shall increase 21 points.F. If the student sleeps 1 more hour, the score shall increase 12.2941points.G. If the student sleeps 1 more hour, the score shall increase 12.6824points.(Enter either A, B, C, D, E, F, or G.)

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Problem 1P

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A linear regression analysis is used to analyze the relationship of the sleep time the night before the exam (minutes) and the midterm score (points). The results are shown below.