I An administrator wants to investigate the relationship between the numbers of unauthorized days that employees are osent per year and the distance (miles) between home and work for the employees. A sample of 10 employees was chosen, and e following data were collected. Distance to Work (miles) | 1 Number of Days Absent 3 10 12 14 14 18 8 8 6. 6. 4 3 3 - Develop the least square regression line to predict the number of days absent based on the distance to work. Enter the regression coefficients in xx.xxx format. Round the value to three decimals and use leading and trailing zero to exactly match the format. Include the negative sign (minus sign) if the coefficient is negative. Do not include plus sign in your response. For example, if the coefficient is +6.1563 then enter 06.156 as your answer, if the coefficient is -0.54765 then enter -0.548 and if the answer is -1.6435 then ent -01.644 Ý=bo+bqX Constant/intercept (bo) = Coefficient of X/slope (b1) = What would be the estimated number of days absent for the employees living 5 miles from the company? Enter your answer in xx.xx format. Round the value to two decimals and use leading and trailing zero to exactly match the format. Include the negative sign (minus sign) if the answer is negative. Do not include plus sign in your response. For example, if the answer is +6.1563 then enter 06.16, if the answer is -0,54765 then enter -00.55 and if the answer is 6.1 then enter 06.10

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Concept explainers

Topic Video

Question

The missing part of the question is: What is the estimated coefficient of correlation between number of days absent and distance to work? Enter your answer in 0.xx format. Round the value to two decimals and use leading and trailing zero to exactly match the format. Include the negative sign (minus sign) if the answer is negative. Do not include plus sign in your response. For example, if the answer is +0.9753 then enter 0.98, if the coefficient is -0.54765 then enter -0.55 and if the answer is 0.3 then enter 0.30 Your answer is: Does the estimated coefficient of correlation suggest a direct or indirect relationship between the number of days absent and distance to work? Enter “D” for direct and “I” for indirect relationship Your answer (D/I) is: What percentage of variation in number of days absent at work can be explained by the distance that the employee travels to work? Enter your answer in percentage and round it to the nearest integer. Do not include % sign in your answer

What is the 95% confidence interval for average number of days absent for employees living 5 miles from the company?
Enter your answer in xx.xx format. Round the value to two decimals and use leading and trailing zero to exactly match the
format. Include the negative sign (minus sign) if the answer is negative. Do not include plus sign in your response. For example, if
the answer is +6.1563 then enter 06.16, if the answer is -0.54765 then enter -00.55 and if the answer is 6.1 then enter 06.10
The upper limit of the confidence interval is:
The lower limit of the confidence interval is:
I What is the estimated increase in number of days absent for each additional mile of distance between home and work?
Enter your answer in xx.xx format. Round the value to two decimals and use leading and trailing zero to exactly match the
format. Include the negative sign (minus sign) if the answer is negative. Do not include plus sign in your response. For example, if
the answer is +6.1563 then enter 06.16, if the answer is -0.54765 then enter -00.55 and if the answer is 6.1 then enter 06.10
Your answer is:
I What is the standard error of estimate?
Enter your answer in xx.xx format. Round the value to two decimals and use leading and trailing zero to exactly match the
format. Include the negative sign (minus sign) if the answer is negative. Do not include plus sign in your response. For example, if
the answer is +6.1563 then enter 06.16, if the answer is -0.54765 then enter -00.55 às your answer, if the answer is 6.1 then enter
06.10

All manual computations/arithmetic must be carried to four (4) decimals
I An administrator wants to investigate the relationship between the numbers of unauthorized days that employees are
absent per year and the distance (miles) between home and work for the employees. A sample of 10 employees was chosen, and
the following data were collected.
Distance to Work (miles) 1
Number of Days Absent
4
10
12
14
14 18
8
6.
4
Develop the least square regression line to predict the number of days absent based on the distance to work.
Enter the regression coefficients in xx.xxx format. Round the value to three decimals and use leading and trailing zero to exactly match the
format. Include the negative sign (minus sign) if the coefficient is negative. Do not include plus sign in your response. For example, if the
coefficient is +6.1563 then enter 06.156 as your answer, if the coefficient is -0.54765 then enter -00.548 and if the answer is -1.6435 then enter
-01.644
Ý=bo+bjX
Constant/intercept (bo) =
Coefficient of X/slope (b1) =
What would be the estimated number of days absent for the employees living 5 miles from the company?
Enter your answer in xx.xx format. Round the value to two decimals and use leading and trailing zero to exactly match the
format. Include the negative sign (minus sign) if the answer is negative. Do not include plus sign in your response. For
example, if the answer is +6.1563 then enter 06.16, if the answer is -0,54765 then enter -00.55 and if the answer is 6.1 then
enter 06.10

Expert Solution

Trending now

This is a popular solution!

Step by step

Solved in 3 steps with 3 images

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Centre, Spread, and Shape of a Distribution$

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