A biologist is interested in predicting the brain weight (in grams) of a certain species of bird from its body weight (in grams). A least squares regression line was fit to data collected from a random sample of 28 birds of this species. The equation of the line is ŷ = 3.79 + 0.08x where ŷ is the predicted brain weight and x is the body weight of the bird. Which of the following gives the best interpretation of the slope of the regression line? (A) There is an increase of 0.08 grams in the predicted brain weight of this species of bird for every increase of 1 gram in body weight. (B) There is an increase of 0.08 grams in the predicted body weight of this species of bird for every increase of 1 gram in brain weight. (C) There is an increase of 3.79 grams in the predicted brain weight of this species of bird for every increase of 1 gram in body weight. (D) There is an increase of 3.79 grams in the predicted body weight of this species of bird for every increase of 1 gram in brain weight. (E) Approximately 8% of the variability in brain weight is predicted by its linear relationship with body weight.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
A biologist is interested in predicting the brain weight (in grams) of a certain species of bird from its
body weight (in grams). A least squares regression line was fit to data collected from a random
sample of 28 birds of this species. The equation of the line is
ŷ = 3.79 + 0.08x
where ŷ is the predicted brain weight and x is the body weight of the bird. Which of the following
gives the best interpretation of the slope of the regression line?
(A) There is an increase of 0.08 grams in the predicted brain weight of this species of bird for every
increase of 1 gram in body weight.
(B) There is an increase of 0.08 grams in the predicted body weight of this species of bird for every
increase of 1 gram in brain weight.
(C) There is an increase of 3.79 grams in the predicted brain weight of this species of bird for every
increase of 1 gram in body weight.
(D) There is an increase of 3.79 grams in the predicted body weight of this species of bird for every
increase of 1 gram in brain weight.
(E) Approximately 8% of the variability in brain weight is predicted by its linear relationship with
body weight.
Transcribed Image Text:A biologist is interested in predicting the brain weight (in grams) of a certain species of bird from its body weight (in grams). A least squares regression line was fit to data collected from a random sample of 28 birds of this species. The equation of the line is ŷ = 3.79 + 0.08x where ŷ is the predicted brain weight and x is the body weight of the bird. Which of the following gives the best interpretation of the slope of the regression line? (A) There is an increase of 0.08 grams in the predicted brain weight of this species of bird for every increase of 1 gram in body weight. (B) There is an increase of 0.08 grams in the predicted body weight of this species of bird for every increase of 1 gram in brain weight. (C) There is an increase of 3.79 grams in the predicted brain weight of this species of bird for every increase of 1 gram in body weight. (D) There is an increase of 3.79 grams in the predicted body weight of this species of bird for every increase of 1 gram in brain weight. (E) Approximately 8% of the variability in brain weight is predicted by its linear relationship with body weight.
AI-Generated Solution
AI-generated content may present inaccurate or offensive content that does not represent bartleby’s views.
steps

Unlock instant AI solutions

Tap the button
to generate a solution

Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
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 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…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
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
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman