8.26 Cats, Part I. The following regression output is for predicting the heart weight (in g) of cats fromtheir body weight (in kg). The coefficients are estimated using a dataset of 144 domestic cats.20-EstimateStd. Errort valuePr(>|t|)(Intercept)body wt= 1.452-0.3570.692-0.5150.6074.0340.25016.1190.00015-R2= 64.66%Ridi = 64.41%'adj(a) Write out the linear model.10(b) Interpret the intercept.(c) Interpret the slope.(d) Interpret R².(e) Calculate the correlation coefficient.5-2.02.53.03.54.0Body weight (kg)Heart weight (g)

From the provided information, a = -0.357 and b = 4.034 a) The required linear regression model is…

8.26 Cats, Part I. The following regression output is for predicting the heart weight (in g) of cats from their body weight (in kg). The coefficients are estimated using a dataset of 144 domestic cats. 20- Estimate -0.357 Std. Error t value Pr(>t|) (Intercept) body wt 0.692 0.250 -0.515 0.607 4.034 16.119 0.000 15- s = 1.452 R2 = 64.66% R2 adj = 64.41% (a) Write out the linear model. (b) Interpret the intercept. (c) Interpret the slope. Heart weight (g)

8.26 Cats, Part I. The following regression output is for predicting the heart weight (in g) of cats from their body weight (in kg). The coefficients are estimated using a dataset of 144 domestic cats. 20- Estimate -0.357 Std. Error t value Pr(>t|) (Intercept) body wt 0.692 0.250 -0.515 0.607 4.034 16.119 0.000 15- s = 1.452 R2 = 64.66% R2 adj = 64.41% (a) Write out the linear model. (b) Interpret the intercept. (c) Interpret the slope. Heart weight (g)

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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