In: Statistics and Probability
A study was done to look at the relationship between number of
vacation days employees take...
A study was done to look at the relationship between number of
vacation days employees take each year and the number of sick days
they take each year. The results of the survey are shown below.
Vacation Days |
2 |
15 |
4 |
5 |
2 |
0 |
3 |
3 |
11 |
Sick Days |
4 |
0 |
4 |
5 |
6 |
10 |
5 |
3 |
0 |
- Find the correlation coefficient: r=r= Round
to 2 decimal places.
- The null and alternative hypotheses for correlation are:
H0:H0: ? r ρ μ == 0
H1:H1: ? r ρ μ ≠≠ 0
The p-value is: (Round to four decimal
places)
- Use a level of significance of α=0.05α=0.05 to state the
conclusion of the hypothesis test in the context of the study.
- There is statistically significant evidence to conclude that
there is a correlation between the number of vacation days taken
and the number of sick days taken. Thus, the regression line is
useful.
- There is statistically insignificant evidence to conclude that
there is a correlation between the number of vacation days taken
and the number of sick days taken. Thus, the use of the regression
line is not appropriate.
- There is statistically significant evidence to conclude that an
employee who takes more vacation days will take more sick days than
an employee who takes fewer vacation days.
- There is statistically significant evidence to conclude that an
employee who takes more vacation days will take fewer sick days
than an employee who takes fewer vacation days .
- r2r2 = (Round to two decimal places)
- Interpret r2r2 :
- Given any group with a fixed number of vacation days taken, 71%
of all of those employees will take the predicted number of sick
days.
- 71% of all employees will take the average number of sick
days.
- There is a large variation in the number of sick days employees
take, but if you only look at employees who take a fixed number of
vacation days, this variation on average is reduced by 71%.
- There is a 71% chance that the regression line will be a good
predictor for the number of sick days taken based on the number of
vacation days taken.
- The equation of the linear regression line is:
ˆyy^ = + xx (Please show your answers
to two decimal places)
- Use the model to predict the number of sick days taken for an
employee who took 2 vacation days this year.
Sick Days = (Please round your answer to the nearest
whole number.)
- Interpret the slope of the regression line in the context of
the question:
- As x goes up, y goes down.
- For every additional vacation day taken, employees tend to take
on average 0.53 fewer sick days.
- The slope has no practical meaning since a negative number
cannot occur with vacation days and sick days.
- Interpret the y-intercept in the context of the question:
- If an employee takes no vacation days, then that employee will
take 7 sick days.
- The best prediction for an employee who doesn't take any
vacation days is that the employee will take 7 sick days.
- The y-intercept has no practical meaning for this study.
- The average number of sick days is predicted to be 7.