Data comprises of the number of hours studied (X) and the exam grade (Y) obtained for 6 first year students registered at UWC. The equation of best fit is given by: y = 67.071 + 4.535x. The correlation coefficient is found to be 0.557, which implies that the coefficient of determination is . ., and that . OA. 0.7463, about 74.6% of the variation in Y is explained by the estimated line of best fit. O B. 55.7%, the time (in hours) spent studying has a positively correlation with the grade obtained in the exam. O C. 0.310, about 31% of the variation in Y is explained by the estimated line of best fit.
Data comprises of the number of hours studied (X) and the exam grade (Y) obtained for 6 first year students registered at UWC. The equation of best fit is given by: y = 67.071 + 4.535x. The correlation coefficient is found to be 0.557, which implies that the coefficient of determination is . ., and that . OA. 0.7463, about 74.6% of the variation in Y is explained by the estimated line of best fit. O B. 55.7%, the time (in hours) spent studying has a positively correlation with the grade obtained in the exam. O C. 0.310, about 31% of the variation in Y is explained by the estimated line of best fit.
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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Transcribed Image Text:Data comprises of the number of hours studied (X) and the exam grade (Y) obtained for 6 first year students registered at
UWC. The equation of best fit is given by: y = 67.071 + 4.535x. The correlation coefficient is found to be 0.557, which implies
that the coefficient of determination is . ., and that
O A. 0.7463, about 74.6% of the variation in Y is explained by the estimated line of best fit.
O B. 55.7%, the time (in hours) spent studying has a positively correlation with the grade obtained in the exam.
O C. 0.310, about 31% of the variation in Y is explained by the estimated line of best fit.
O D. 0.557, about 55,7% of the variation in Y is explained by the estimated line of best fit.
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