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 Days1210131286311Sick Days0000-0380 Find the correlation coefficient: r=r= Round to 2 decimal places.The null and alternative hypotheses for correlation are:H0:H0: ? ρ r 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 an employee who takes more vacation days will take more sick days than an employee who takes fewer vacation days.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 fewer sick days than an employee who takes fewer vacation days .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. r2r2 = (Round to two decimal places) Interpret r2r2 : 77% of all employees will take the average number of sick days.Given any group with a fixed number of vacation days taken, 77% of all of those employees will take the predicted 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 77%.There is a 77% 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 5 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: For every additional vacation day taken, employees tend to take on average 0.73 fewer sick days.The slope has no practical meaning since a negative number cannot occur with vacation days and sick days.As x goes up, y goes down.Interpret the y-intercept in the context of the question:If an employee takes no vacation days, then that employee will take 8 sick days.The average number of sick days is predicted to be 8.The y-intercept has no practical meaning for this study.The best prediction for an employee who doesn't take any vacation days is that the employee will take 8 sick days.

Answer: X: Vacation days Y: Sick days

Answered: Find the correlation coefficient: r=r=…

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter5: A Survey Of Other Common Functions

Section5.3: Modeling Data With Power Functions

Problem 2E: Planetary Velocity The following table gives the mean velocity of planets in their orbits versus...

See similar textbooks

Related questions

Concept explainers

Question

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	12	10	13	12	8	6	3	11
Sick Days	0	0	0	0	-0	3	8	0

Find the correlation coefficient: r=r= Round to 2 decimal places.
The null and alternative hypotheses for correlation are:
H0:H0: ? ρ r 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 an employee who takes more vacation days will take more sick days than an employee who takes fewer vacation days.
- 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 fewer sick days than an employee who takes fewer vacation days .
- 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.
r2r2 = (Round to two decimal places)
Interpret r2r2 :
- 77% of all employees will take the average number of sick days.
- Given any group with a fixed number of vacation days taken, 77% of all of those employees will take the predicted 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 77%.
- There is a 77% 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 5 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:
- For every additional vacation day taken, employees tend to take on average 0.73 fewer sick days.
- The slope has no practical meaning since a negative number cannot occur with vacation days and sick days.
- As x goes up, y goes down.
Interpret the y-intercept in the context of the question:
- If an employee takes no vacation days, then that employee will take 8 sick days.
- The average number of sick days is predicted to be 8.
- The y-intercept has no practical meaning for this study.
- The best prediction for an employee who doesn't take any vacation days is that the employee will take 8 sick days.

Expert Solution

Step by step

Solved in 3 steps with 2 images

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Correlation, Regression, and Association$

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.

Similar questions