don Completion Status: Number of people on the subway = 37 22 21 32 3 36 25 39 19 10 31 147 22 Day Rating 9 3328 10 53 492246 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. v SSx*y A. 318.00 v [(x) B. 70.00 v The slope of the best fit line used to predict rating C. 8920.00 D. 458.00 L. v The correlation coefficient E. 101124.00 F. 4900.00 v The intercept of the best fit line used to predict rating G. 1568.00 v E(y) H. 22260.00 v E(xy) I. 1696.86 J. 108.00 v SSy v The predicted daily rating of a day where 25 people were on the front subway car. v [(x)*E(y) K. -22.00 L. -0.05 М. О.00 N. -0.01 O. 5.29 v The coefficient of determination P. 4.97 [(x?) v SSx
don Completion Status: Number of people on the subway = 37 22 21 32 3 36 25 39 19 10 31 147 22 Day Rating 9 3328 10 53 492246 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. v SSx*y A. 318.00 v [(x) B. 70.00 v The slope of the best fit line used to predict rating C. 8920.00 D. 458.00 L. v The correlation coefficient E. 101124.00 F. 4900.00 v The intercept of the best fit line used to predict rating G. 1568.00 v E(y) H. 22260.00 v E(xy) I. 1696.86 J. 108.00 v SSy v The predicted daily rating of a day where 25 people were on the front subway car. v [(x)*E(y) K. -22.00 L. -0.05 М. О.00 N. -0.01 O. 5.29 v The coefficient of determination P. 4.97 [(x?) v SSx
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:stlon Completion Status:
Number of people on the subway = 37 22 21 32 3 36 25 39 19 10 31 14 7 22
Day Rating = 9 3328 10 53 492246
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.
v SSx*y
A. 318.00
v [(x)
B. 70.00
v The slope of the best fit line used to predict rating
C. 8920.00
D. 458.00
L. v The correlation coefficient
E. 101124.00
F. 4900.00
v The intercept of the best fit line used to predict rating
G. 1568.00
v E(y)
H. 22260.00
v E(xy)
I. 1696.86
J. 108.00
K. -22.00
v SSy
L. -0.05
v The predicted daily rating of a day where 25 people
were on the front subway car.
М. О.00
v [(x)*E(y)
N. -0.01
O. 5.29
P. 4.97
v The coefficient of determination
[(x?)
v SSx
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