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Number of people on the subway = 20 42 18 49 21 74 28 7 46 37 24 16 42 Day Rating = 26745 10 79 722588

Number of people on the subway = 20 42 18 49 21 74 28 7 46 37 24 16 42 Day Rating = 26745 10 79 722588

MATLAB: An Introduction with Applications
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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Number of people on the subway = 20 42 18 49 21 7 4 28 7 46 37 24 16 42 Day Rating = 26745 10 79722588 Perform a linear regrssion analysis on this data. Then predict the daily rating of a day where 25 people were on the front subway car. Match each statistic with its value. SSx A. 361.00 The correlation coefficient B. 82.00 v [(x)*E(y) I(x?) C. 12309.00 D. 570.00 E. 130321.00 F. 6724.00 E(xy) G. 1868.00 H. 29602.00 v The slope of the best fit line used to predict rating I. 3000.36 J. 89.71 K. -246.43 v The predicted daily rating of a day where 25 people were on the front subway car. L. -0.47 M. 0.23 v The intercept of the best fit line used to predict rating N. -0.08 v The coefficient of determination O. 7.98 P. 5.92 v E(y) v SSx*y v SSy
Transcribed Image Text:Number of people on the subway = 20 42 18 49 21 7 4 28 7 46 37 24 16 42 Day Rating = 26745 10 79722588 Perform a linear regrssion analysis on this data. Then predict the daily rating of a day where 25 people were on the front subway car. Match each statistic with its value. SSx A. 361.00 The correlation coefficient B. 82.00 v [(x)*E(y) I(x?) C. 12309.00 D. 570.00 E. 130321.00 F. 6724.00 E(xy) G. 1868.00 H. 29602.00 v The slope of the best fit line used to predict rating I. 3000.36 J. 89.71 K. -246.43 v The predicted daily rating of a day where 25 people were on the front subway car. L. -0.47 M. 0.23 v The intercept of the best fit line used to predict rating N. -0.08 v The coefficient of determination O. 7.98 P. 5.92 v E(y) v SSx*y v SSy
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