A clinic manager wishes to find out whether age of her employees has an impact on the number of sick days they take each year. The data for the sample are shown: Age 18 20 58 39 48 26 53 Day 16 9 2 10 8 12 7 The linear regression equation is given by: ŷ =−0.223X+17.48 and r2=0.699 b. Determine the slope. c. Determine |r| Interpret r : Determine critical r value at 5% significance level and determine if there is a significant linear correlation exists. Linear Correlation: Predict the number of sick days taken of an employee who is 35 years old.
A clinic manager wishes to find out whether age of her employees has an impact on the number of sick days they take each year. The data for the sample are shown: Age 18 20 58 39 48 26 53 Day 16 9 2 10 8 12 7 The linear regression equation is given by: ŷ =−0.223X+17.48 and r2=0.699 b. Determine the slope. c. Determine |r| Interpret r : Determine critical r value at 5% significance level and determine if there is a significant linear correlation exists. Linear Correlation: Predict the number of sick days taken of an employee who is 35 years old.
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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A clinic manager wishes to find out whether age of her employees has an impact on the number of sick days they take each year. The data for the sample are shown:
Age | 18 | 20 | 58 | 39 | 48 | 26 | 53 |
Day | 16 | 9 | 2 | 10 | 8 | 12 | 7 |
The linear regression equation is given by:
ŷ =−0.223X+17.48 and r2=0.699
- b. Determine the slope.
- c. Determine |r|
- Interpret r :
- Determine critical r value at 5% significance level and determine if there is a significant
linear correlation exists. - Linear Correlation:
- Predict the number of sick days taken of an employee who is 35 years old.
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