Homework Help is Here – Start Your Trial Now!
Math
Statistics
A state fisheries commission wants to estimate the number of bass caught in a given lake during a season in order to restock the lake with the appropriate number of young fish. The commission could get a fairly accurate assessment of the seasonal catch by extensive "netting sweeps" of the lake before and after a season, but this technique is much too expensive to be done routinely. Therefore, the commission samples a number of lakes and record the seasonal catch (thousands of bass per square mile of lake area) and size of lake (square miles). A simple linear regression was performed and the following R output obtained. Estimate Std. Error t value Pr(>|t|) (Intercept) 2.5463 0.4427 5.7513 0.0000 size 0.0667 0.3672 0.1818 0.8578 The residual plot is below. Notice how the residuals are randomly scattered for lake sizes up to approximately 0.8 square miles. Which of the following are noticeable in this plot? Check all that apply. Residual Plot 0.5 1.0 1.5 2.0 2.5 size of lake (sq, miles) While not bad, there is still a hint of curvature in the residual plot. Therefore, size of lake and seasonal catch are not linearly related. There are some outliers with unusual lake sizes compared to the rest of the lakes. O The relationship between size of lake and seasonal catch is fairly weak for lake sizes less than 1.0 square miles and then fairly strong for lake sizes greater than 1.0 square miles. There is no relationship between seasonal catch and size of lake. Residuals -1 0 1 2 3

A state fisheries commission wants to estimate the number of bass caught in a given lake during a season in order to restock the lake with the appropriate number of young fish. The commission could get a fairly accurate assessment of the seasonal catch by extensive "netting sweeps" of the lake before and after a season, but this technique is much too expensive to be done routinely. Therefore, the commission samples a number of lakes and record the seasonal catch (thousands of bass per square mile of lake area) and size of lake (square miles). A simple linear regression was performed and the following R output obtained. Estimate Std. Error t value Pr(>|t|) (Intercept) 2.5463 0.4427 5.7513 0.0000 size 0.0667 0.3672 0.1818 0.8578 The residual plot is below. Notice how the residuals are randomly scattered for lake sizes up to approximately 0.8 square miles. Which of the following are noticeable in this plot? Check all that apply. Residual Plot 0.5 1.0 1.5 2.0 2.5 size of lake (sq, miles) While not bad, there is still a hint of curvature in the residual plot. Therefore, size of lake and seasonal catch are not linearly related. There are some outliers with unusual lake sizes compared to the rest of the lakes. O The relationship between size of lake and seasonal catch is fairly weak for lake sizes less than 1.0 square miles and then fairly strong for lake sizes greater than 1.0 square miles. There is no relationship between seasonal catch and size of lake. Residuals -1 0 1 2 3

MATLAB: An Introduction with Applications
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
icon
Related questions
Question
A state fisheries commission wants to estimate the number of bass caught in a given lake during a season in order to restock the lake with the appropriate number of young fish. The commission could get a fairly accurate assessment of the seasonal catch by extensive "netting sweeps" of the lake before and after a season, but this technique is much too expensive to be done routinely. Therefore, the commission samples a number of lakes and record the seasonal catch (thousands of bass per square mile of lake area) and size of lake (square miles). A simple linear regression was performed and the following R output obtained. Estimate Std. Error t value Pr(>|t|) (Intercept) 2.5463 0.4427 5.7513 0.0000 size 0.0667 0.3672 0.1818 0.8578 The residual plot is below. Notice how the residuals are randomly scattered for lake sizes up to approximately 0.8 square miles. Which of the following are noticeable in this plot? Check all that apply. Residual Plot 0.5 1.0 1.5 2.0 2.5 size of lake (sq, miles) While not bad, there is still a hint of curvature in the residual plot. Therefore, size of lake and seasonal catch are not linearly related. There are some outliers with unusual lake sizes compared to the rest of the lakes. O The relationship between size of lake and seasonal catch is fairly weak for lake sizes less than 1.0 square miles and then fairly strong for lake sizes greater than 1.0 square miles. There is no relationship between seasonal catch and size of lake. Residuals -1 0 1 2 3
Transcribed Image Text:A state fisheries commission wants to estimate the number of bass caught in a given lake during a season in order to restock the lake with the appropriate number of young fish. The commission could get a fairly accurate assessment of the seasonal catch by extensive "netting sweeps" of the lake before and after a season, but this technique is much too expensive to be done routinely. Therefore, the commission samples a number of lakes and record the seasonal catch (thousands of bass per square mile of lake area) and size of lake (square miles). A simple linear regression was performed and the following R output obtained. Estimate Std. Error t value Pr(>|t|) (Intercept) 2.5463 0.4427 5.7513 0.0000 size 0.0667 0.3672 0.1818 0.8578 The residual plot is below. Notice how the residuals are randomly scattered for lake sizes up to approximately 0.8 square miles. Which of the following are noticeable in this plot? Check all that apply. Residual Plot 0.5 1.0 1.5 2.0 2.5 size of lake (sq, miles) While not bad, there is still a hint of curvature in the residual plot. Therefore, size of lake and seasonal catch are not linearly related. There are some outliers with unusual lake sizes compared to the rest of the lakes. O The relationship between size of lake and seasonal catch is fairly weak for lake sizes less than 1.0 square miles and then fairly strong for lake sizes greater than 1.0 square miles. There is no relationship between seasonal catch and size of lake. Residuals -1 0 1 2 3
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
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
SEE MORE TEXTBOOKS