Information was collected from employee records to determine whether there is an association
Between an employee's age and the number or workdays they miss. Excel results are summarized
Below:

From this printout you determine:
A) when tested at the 2% level of signiﬁcance, there is no relationship between an employee's age and the number of days of work absences.
B) for each additional year of age, we can expect the number of days of absence to decrease by 0.2 days.
C) almost 67% of the variation in the number of absent days can be explained by the variation in the employee's ages.
D) when tested at the 2% level of signiﬁcance, there is relationship between an employee's age and the number of days of work absences. For each additional year of age, we can
Expect the number of days of absence to decrease by 0.2 days.
E) when tested at the 2% level of signiﬁcance, there is no relationship between an employee's age and the number of days of work absences. Almost 67% of the variation in

When Comparing the 95% Conﬁdence and Prediction Intervals for a Given

Multiple Choice

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