Using Microsoft Excel at 0.05 level of significance, calculate the correlation coefficient to determine the strength and direction of the linear relationship between the number of weeks attended and the percentage of body fat lost. Also, conduct a linear regression analysis to predict the percentage of body fat lost based on the number of weeks attended.
Using Microsoft Excel at 0.05 level of significance, calculate the correlation coefficient to determine the strength and direction of the linear relationship between the number of weeks attended and the percentage of body fat lost. Also, conduct a linear regression analysis to predict the percentage of body fat lost based on the number of weeks attended.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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ANSWER and EXPLAIN FOR BETTER UNDERSTANDING The Following Problem USING EXCEL. Kindly ATTACH THE EXCEL FILE ON GDRIVE LINK:
https://drive.google.com/drive/folders/1GPsTMNYrbI6tyc1Gx7ehjxahvv-PeEj5?usp=sharing
Transcribed Image Text:A fitness trainer wants to determine if there is a linear relationship between the number of weeks a
person attends a fitness class and the percentage of body fat they lose. He gathers data from 12
participants and records the number of weeks they attended the class and the percentage of body fat
they lost. The data is as follows (in chronological order):
Number of Weeks Attended: 2, 3, 4, 3, 5, 4, 2, 6, 5, 3, 4, 6
Percentage of Body Fat Lost: 1.5, 2.2, 3.1, 2.8, 4.0, 3.3, 1.8, 4.5, 3.9, 2.7, 3.2, 4.8
Using Microsoft Excel at 0.05 level of significance, calculate the correlation coefficient to determine the
strength and direction of the linear relationship between the number of weeks attended and the
percentage of body fat lost. Also, conduct a linear regression analysis to predict the percentage of body
fat lost based on the number of weeks attended.
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