14The relationship between x = temperature in degrees Fahrenheit and y = chirps per minute for the striped ground cricket, issummarized with the regression line y = -0.31 + 0.212x. For this model, technology gives s = 0.97 and = 0.697.Interpret the value of s.O 97% of the variability in chirps per minute is accounted for by the least-squares regression line with x = temperature indegrees Fahrenheit.O The actual number of chirps per minute is typically about 0.97 less than the number predicted by the least-squaresregression line with x = temperature in degrees Fahrenheit.O The value 0.97 indicates that the linear relationship between temperature and chirps per minute is strong and positive.O The actual number of chirps per minute is typically about 0.97 more than the number predicted by the leäst-squaresregression line with x temperature in degrees Fahrenheit.O The actual number of chirps per minute is typically about 0.97 away from the number predicted by the least-squaresregression line with x temperature in degrees Fahrenheit.

Given that the value of s is 0.97. That is, the value 0.97 represents the standard deviation. Here,…

Answered: The relationship between x =…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Company Legal Name ASX Code ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORG ORG ORG ORIGIN ENERGY LTD ORIGIN ENERGY LTD ORIGIN ENERGY LTD ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORIGIN ENERGY LTD ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORIGIN ENERGY LTD ORG ORG QEarnings 1 Date 2 2019/4/1 3 2019/4/2 4 2019/4/3 5 2019/4/4 6 2019/4/5 7 2019/4/8 8 2019/4/9 9 2019/4/10 10 2019/4/11 11 2019/4/12 12 2019/4/15 13 2019/4/16 14 2019/4/17 15 2019/4/18 16 2019/4/23 17 2019/4/24 18 2019/4/26 19 2019/4/29 20 2019/4/30 21 2019/5/1 22 2019/5/2 2019/5/3 23 24 2019/5/6 25 2019/5/7 26 2019/5/8 27 2019/5/9 28 2019/5/10 29 2019/5/13 30 2019/5/14 31 2019/5/15 32 2019/5/16 33 2019/5/17 34 2019/5/20 2019/5/21 35 36 2019/5/22 37 2019/5/23 38 2019/5/24 39 40 2019/5/27 2019/5/28 41 2019/5/29 42 2019/5/30 1 Date…
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 85 mm Hg. Use a significance level of 0.05 Right Arm 101 100 94 75 Left Arm 174 167 146 144 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is (Round to one decimal place as needed.) 76 144 CRITS
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=-0.698 b=37.226 r2=0.799236 r=-0.894 Use this to predict the number of situps a person who watches 14 hours of TV can do (to one decimal place)
A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam scores (y).The results of the regression were: y=ax+b a=5.088 b=26.56 r2=0.913936 r=0.956 Use this to predict the final exam score of a student who studies 4.5 hours per week, and please round your answer to a whole number.
Describe in detail about regression lines?
A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam Scores (y). The results of the regression were: y=ax+b a=6.179 b=28.96 r²=0.937024 r=0.968 Use this to predict the final exam score of a student who studies 4 hours per week, 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=-0.982 b=31.084 r2=0.471969 r=-0.687 Use this to predict the number of situps a person who watches 13.5 hours of TV can do (to one decimal place)
The estimated regression equation for a model involving two independent variables and 10 observations follows. y = 33.0798 + 0.6071x1 + 0.7058x2 a. Interpret b₁ and b2 in this estimated regression equation (to 4 decimals). b₁ = - Select your answer - b₂ = - Select your answer - b. Estimate y when *₁ = 180 and ₂ = 310 (to 3 decimals).
A regression was run to determine if there is a relationship between hours of study per week (xx) and the final exam scores (yy).The results of the regression were: y=ax+b a=5.614 b=32.79 r2=0.808201 r=0.899 Use this to predict the final exam score of a student who studies 1 hours per week, and please round your answer to a whole number.

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS