11. When appropriate, refer to the StatCrunch analysis for this problem. It is desired to relate the weight of discarded plastic (in pounds) in a week by households to the size (number of people) of the household. A random sample of 8 households in a sub-division was selected and their size and the weight of discarded plastic were recorded. Row Plastic HouseSize 0.3 1.4 2.2 2. 3. 3 4. 2.8 2.2 1.8 0.8 3.1 A. Report the prediction equation relating the amount of discarded plastic to household size, and carefully interpret the intercept and slope in the context of the problem. Fted ine plot Plastic 25 21 B. Is the weight of discarded plastic linearly related to the household size? Test using a .01 level of significance. 1.5 05 C. Carefully interpret R-squared to assess the strength of the linear relationship. HouseSe D. If appropriate, approximate the mean weekly amount of discarded plastic among households with 8 members, using 95% confidence Correlation between Plastic and HouseSize is: 0.8449 (0.0083) E. Repeat part D for households with 4 members, using 95% confidence. ( Simple linear regression results: Dependent Variable: Plastic Independent Variable: HouseSize Plastic 0.25 +0.485 HouseSize Sample size: 8 R (correlation coefficient) - 0.845 R-sq -0.714
11. When appropriate, refer to the StatCrunch analysis for this problem. It is desired to relate the weight of discarded plastic (in pounds) in a week by households to the size (number of people) of the household. A random sample of 8 households in a sub-division was selected and their size and the weight of discarded plastic were recorded. Row Plastic HouseSize 0.3 1.4 2.2 2. 3. 3 4. 2.8 2.2 1.8 0.8 3.1 A. Report the prediction equation relating the amount of discarded plastic to household size, and carefully interpret the intercept and slope in the context of the problem. Fted ine plot Plastic 25 21 B. Is the weight of discarded plastic linearly related to the household size? Test using a .01 level of significance. 1.5 05 C. Carefully interpret R-squared to assess the strength of the linear relationship. HouseSe D. If appropriate, approximate the mean weekly amount of discarded plastic among households with 8 members, using 95% confidence Correlation between Plastic and HouseSize is: 0.8449 (0.0083) E. Repeat part D for households with 4 members, using 95% confidence. ( Simple linear regression results: Dependent Variable: Plastic Independent Variable: HouseSize Plastic 0.25 +0.485 HouseSize Sample size: 8 R (correlation coefficient) - 0.845 R-sq -0.714
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Topic Video
Question
Look at the 2 pictures please help me with this problem
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 2 steps with 2 images
Knowledge Booster
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.Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
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
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman