Suppose an animal scientist, Dr. Dew believes that birth weight (in kg) explains the variation in the length of gestation (in days until birth) for various mammals. To support this fact, he collected data and found out that when the birth weight was x = length of gestation was y = Hint: E:(x; – a)² = 540, 916.8, E; (yi – 9)² = 195, 233, and E:(yi – ŷ)² = 181, 018. {60, 110, 44, 900, 107} the {122, 241, 61, 365, 617}. The fitted model was ŷ = 241.61+0.162x. a) Ignore the birth weight (x). If the length of gestation are independently and identically distributed (i.i.d.) with mean u and variance o?, what is the estimate for u and o?, respectively?

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
Suppose an animal scientist, Dr. Dew believes that birth weight (in kg) explains the variation
in the length of gestation (in days until birth) for various mammals. To support this fact, he
collected data and found out that when the birth weight was x =
length of gestation was y =
Hint: E;(xi – 2)² = 540, 916.8, E;(yi – 9)² = 195, 233, and E;(yi – ŷ)² = 181, 018.
{60, 110, 44, 900, 107} the
{122, 241, 61, 365, 617}. The fitted model was ĝ = 241.61+0.162x.
a) Ignore the birth weight (x). If the length of gestation are independently and identically
distributed (i.i.d.) with mean u and variance o?, what is the estimate for u and o?2,
respectively?
b) If you now use the birth weight (x) and assume that the length of gestation are (i.i.d.)
with variance o? and mean µ = Bo + B1X. i) Compute the estimate for o?. (ii) By
comparison to your estimate in part (a), what does this tell you about this model?
Transcribed Image Text:Suppose an animal scientist, Dr. Dew believes that birth weight (in kg) explains the variation in the length of gestation (in days until birth) for various mammals. To support this fact, he collected data and found out that when the birth weight was x = length of gestation was y = Hint: E;(xi – 2)² = 540, 916.8, E;(yi – 9)² = 195, 233, and E;(yi – ŷ)² = 181, 018. {60, 110, 44, 900, 107} the {122, 241, 61, 365, 617}. The fitted model was ĝ = 241.61+0.162x. a) Ignore the birth weight (x). If the length of gestation are independently and identically distributed (i.i.d.) with mean u and variance o?, what is the estimate for u and o?2, respectively? b) If you now use the birth weight (x) and assume that the length of gestation are (i.i.d.) with variance o? and mean µ = Bo + B1X. i) Compute the estimate for o?. (ii) By comparison to your estimate in part (a), what does this tell you about this model?
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps

Blurred answer
Knowledge Booster
Point Estimation, Limit Theorems, Approximations, and Bounds
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
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