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...


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<br>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<br>in the previous year.<br>4 5 6 7 8 9 10<br>Employee<br>1<br>2<br>3<br>Age<br>30<br>50<br>40<br>55<br>30<br>28<br>60<br>25<br>30<br>45<br>Sick Days<br>7<br>4<br>3<br>2<br>10<br>8<br>Copy Data<br>The estimated regression equation and the standard error are given.<br>Sick Days = 14.310162 โ€“ 0.236900( Age<br>S. = 1.682207<br>Find the 95 % prediction interval for the average number of sick days an employee will take per year, given the employee is 22. Round your answer<br>to two decimal places.<br>

Extracted 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. 4 5 6 7 8 9 10 Employee 1 2 3 Age 30 50 40 55 30 28 60 25 30 45 Sick Days 7 4 3 2 10 8 Copy Data The estimated regression equation and the standard error are given. Sick Days = 14.310162 โ€“ 0.236900( Age S. = 1.682207 Find the 95 % prediction interval for the average number of sick days an employee will take per year, given the employee is 22. Round your answer to two decimal places.

Jun 10, 2022
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