An official of a large car manufacturing company wanted to study the relationship between an employee's age and the number of absences. For this, a random sample of 10 randomly selected employees was collected and the following data was obtained. The material:  age 40 28 34 27 21 38 19 55 31 35 number of absences 1 6 6 9 12 4 13 2 5 3       (a) Predict the number of absenteeism for a 42-year-old employee. (b) Determine the 95% prediction interval for the number of absences for the employee in (a).

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