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
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: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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