(IN SAS) Consider the text file called muscle which consists of paired data of individual's muscle mass and age. We want to examine this relationship. a. Begin by looking at a scatterplot and finding the correlation. Does the association look linear? How strong is it? b. Produce the necessary diagnostic plots to prepare to fit a regression model. c. Using this information, would you recommend going ahead and fitting a simple linear regression model to this data? (Do not fit the model yet, just answer yes or no and provide evidence) mass age 82.0 71.0 91.0 64.0 100.0 43.0 68.0 67.0 87.0 56.0 73.0 73.0 78.0 68.0 80.0 56.0 65.0 76.0 84.0 65.0 116.0 45.0 76.0 58.0 97.0 45.0 100.0 53.0 105.0 49.0 77.0 78.0
(IN SAS) Consider the text file called muscle which consists of paired data of individual's muscle mass and age. We want to examine this relationship. a. Begin by looking at a scatterplot and finding the correlation. Does the association look linear? How strong is it? b. Produce the necessary diagnostic plots to prepare to fit a regression model. c. Using this information, would you recommend going ahead and fitting a simple linear regression model to this data? (Do not fit the model yet, just answer yes or no and provide evidence) mass age 82.0 71.0 91.0 64.0 100.0 43.0 68.0 67.0 87.0 56.0 73.0 73.0 78.0 68.0 80.0 56.0 65.0 76.0 84.0 65.0 116.0 45.0 76.0 58.0 97.0 45.0 100.0 53.0 105.0 49.0 77.0 78.0
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Question

Transcribed Image Text:(IN SAS) Consider the text file called muscle which consists of paired data of individual's muscle
mass and age. We want to examine this relationship.
a. Begin by looking at a scatterplot and finding the correlation. Does the association look
linear? How strong is it?
b. Produce the necessary diagnostic plots to prepare to fit a regression model.
c. Using this information, would you recommend going ahead and fitting a simple linear
regression model to this data? (Do not fit the model yet, just answer yes or no and
provide evidence)

Transcribed Image Text:mass age
82.0 71.0
91.0 64.0
100.0 43.0
68.0 67.0
87.0 56.0
73.0 73.0
78.0 68.0
80.0 56.0
65.0 76.0
84.0 65.0
116.0 45.0
76.0 58.0
97.0 45.0
100.0 53.0
105.0 49.0
77.0 78.0
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