Determine the equation of the sinusoidal regression function for the data.X05202530120 138121140125y10122Oy= 16.5 sin (0.3x -0.1) + 123Oy= 17.1 sin (0.31x -0.05) + 122Oy = 17.6 sin (0.34x + 0.1) + 121Oy = 18 sin (0.25x + 0.05) + 12015105

Sinusoidal Regression Sinusoidal regression finds a trigonometric model that gives the curve of best…

Answered: Determine the equation of the…

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 (xx) and number of situps a person can do (yy).The results of the regression were:y=ax+b a=-0.853 b=34.041 r2=0.389376 r=-0.624 Use this to predict the number of situps a person who watches 7 hour(s) of TV can do, and please round your answer to a whole number.
A regression was run to determine if there is a relationship between hours of study per week (z) and the final exam scores (y). The results of the regression were: y=ax+b a=6.578 b-20.35 r-0.3721 r=0.61 Use this to predict the final exam score of a student who studies 7 hours per week, and please round your answer to a whole number.
Please show all work so I can understand! Thank you!
Two variable are found to have a strong negative linear correlation. Pick the regression equation that best fits this scenario. y=0.82x−28 ˆy=0.32x−28 y= -0.82x+28 ˆy= -0.32x+28
The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 760 1119 1125 850 965 785 D Temperature (°F) 70.5 90.8 90.8 74.7 77.1 69.9 What is the regression equation? (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.)
The number of visitors, y, at a National museum was recorded from January to August. A sinusoidal regression was performed to determine the equation for the curve of best fit. SinReg y = a* sin (bx +c)+d a =11900.187 b = 628.312 c = 2827.414 d = 20018.742 If January represents month 1, how many people should the museum expect to visit in November? (A) 18 934 (B) 4878 (C) 23 862 (D) 1219 O A Ов Ос O D
A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy). The results of the regression were: y=ax+ba=-1.392b=32.952r2=0.527076r=-0.726Use this to predict the number of situps a person who watches 2 hour(s) of TV can do, and please round your answer to a whole number.
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:y=ax+b a=-0.667 b=26.552 r2=0.677329 r=-0.823 Use this to predict the number of situps a person who watches 12 hours of TV can do (to one decimal place)
A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy).The results of the regression were:y=ax+b a=-0.629 b=39.045 r2=0.806404 r=-0.898 Use this to predict the number of situps a person who watches 6.5 hour(s) of TV can do, and please round your answer to a whole number.

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Determine the equation of the sinusoidal regression function for the data. X 25 30 y 140 125 0 120 5 138 10 122 Oy=16.5 sin (0.3x -0.1) + 123 Oy= 17.1 sin (0.31x -0.05) + 122 Oy = 17.6 sin (0.34x + 0.1) + 121 Oy 18 sin (0.25x+0.05) + 120 15 105 20 121