13495211341406184920752817(a) Use data above to determine an exponential regression equation of best fit, y. Round all valuesto two decimal places.y =%3D(b) Use data above to determine a linear regression function of best fit, y. Round all values to twodecimal places.(c) Of these two, which equation best fits the data?O LinearO Exponential

the trend line is: Y= 752.15*(1.24^x)

Answered: 1 6. 952 1134 1406 1849 2075 2817 y (a)…

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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A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: ŷ = a + bx a = 36.694 b = 0.874 R = = 0.923521 a) Use this to predict the number of situps a person who watches 0.5 hours of TV can e do (to 3 decimal places) b) What is the value of the correlation coefficient (to 3 decimal places) ? Priv Terr ост 21 MacBook Pro esc F1 F2 F3 F4 F5
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A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were :ŷ=a+bx a=20.874 b=-0.638 r2=0.894916 r=-0.946 Use this to predict the number of situps a person who watches 8 hours of TV can do (to one decimal place) _________
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1 6. 952 1134 1406 1849 2075 2817 y (a) Use data above to determine an exponential regression equation of best fit, y. Round all values to two decimal places.