Exercise 7.30 presents regression output from a model for predicting the heart weight (in g) of cats from theirbody weight (in kg). The coecients are estimated using a dataset of 144 domestic cats. The model output isalso provided below.EstimateStd. Errort valuePr(>|t|)(Intercept)body wt-0.3570.692-0.5150.6074.0340.25016.1190.000s = 1.452R? = 64.66%Radj = 64.41%a) What are the hypotheses for evaluating whether body weight is positively associated with heart weight incats?Ho: B1 = 0; HA: ß1 # 0Ho: B1 = 0; HA: B1 > 0Ho: Bo = 0; HA: Bo > 0Ho: Bo = 0; HA: Bo # 0b) State the conclusion of the hypothesis test from part (a) in context of the data.O The data provide convincing evidence that body weight is positively associated with heart weight incats.OThe data does not provide convincing evidence that body weight is positively associated with heartweight in cats.) The data provide convincing evidence that body weight is negatively associated with heart weight incats.O The data does not provide convincing evidence that body weight is negatively associated with heartweight in cats.c) Calculate a 95% confidence interval for the slope of body weight. Round to 2 decimal places.

Answered: Image /qna-images/answer/073bf00b-a07a-472b-bb6c-0950bcc8eb3b.jpg

Answered: Exercise 7.30 presents regression…

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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