The personnel director of a large hospital is interested in determining the relationship (if any) between an employee's age and the number of sick days the employee takes per year. The director randomly selects ten employees and records their age and the number of sick days which they took in the previous year. 2 3 4 5 6 7 8 Employee 1 9 10 Age 30 50 40 55 30 28 60 25 30 45 Sick Days 7 4 10 8 5 Copy Data The estimated regression equation and the standard error are given. Sick Days = 14.310162 - 0.236900( Age S. = 1.682207 Find the 99 % prediction interval for the average number of sick days an employee will take per year, given the employee is 28. Round your answer to two decimal places. Answer 国 Tables 團 Keypad Keyboard Shortcuts
The personnel director of a large hospital is interested in determining the relationship (if any) between an employee's age and the number of sick days the employee takes per year. The director randomly selects ten employees and records their age and the number of sick days which they took in the previous year. 2 3 4 5 6 7 8 Employee 1 9 10 Age 30 50 40 55 30 28 60 25 30 45 Sick Days 7 4 10 8 5 Copy Data The estimated regression equation and the standard error are given. Sick Days = 14.310162 - 0.236900( Age S. = 1.682207 Find the 99 % prediction interval for the average number of sick days an employee will take per year, given the employee is 28. Round your answer to two decimal places. Answer 国 Tables 團 Keypad Keyboard Shortcuts
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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![The personnel director of a large hospital is interested in determining the relationship (if any) between an employee’s age and the number of sick days the employee takes per year. The director randomly selects ten employees and records their age and the number of sick days which they took in the previous year.
| Employee | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
|-----------|----|----|----|----|----|----|----|----|----|----|
| Age | 30 | 50 | 40 | 55 | 30 | 28 | 60 | 25 | 30 | 45 |
| Sick Days | 7 | 4 | 3 | 2 | 9 | 10 | 0 | 8 | 5 | 2 |
The estimated regression equation and the standard error are given.
\[ \text{Sick Days} = 14.310162 - 0.236900 \times (\text{Age}) \]
\[ S_e = 1.682207 \]
Find the 99% prediction interval for the average number of sick days an employee will take per year, given the employee is 28. Round your answer to two decimal places.
**Answer**
[Answer Box]
**Graph/Diagram Explanation:**
The table provides data from a sample of ten employees, showing their ages and the corresponding number of sick days taken in the previous year. A regression equation is provided that predicts the number of sick days based on age, along with a standard error value for precision.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0393c8d3-5560-49fe-9d27-b3e3e6d860d8%2Fab7ead51-f0c1-40dd-b0da-44bfc42f98bf%2Fkjle1qn_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The personnel director of a large hospital is interested in determining the relationship (if any) between an employee’s age and the number of sick days the employee takes per year. The director randomly selects ten employees and records their age and the number of sick days which they took in the previous year.
| Employee | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
|-----------|----|----|----|----|----|----|----|----|----|----|
| Age | 30 | 50 | 40 | 55 | 30 | 28 | 60 | 25 | 30 | 45 |
| Sick Days | 7 | 4 | 3 | 2 | 9 | 10 | 0 | 8 | 5 | 2 |
The estimated regression equation and the standard error are given.
\[ \text{Sick Days} = 14.310162 - 0.236900 \times (\text{Age}) \]
\[ S_e = 1.682207 \]
Find the 99% prediction interval for the average number of sick days an employee will take per year, given the employee is 28. Round your answer to two decimal places.
**Answer**
[Answer Box]
**Graph/Diagram Explanation:**
The table provides data from a sample of ten employees, showing their ages and the corresponding number of sick days taken in the previous year. A regression equation is provided that predicts the number of sick days based on age, along with a standard error value for precision.
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