Employee Work Hours Missed Annual Wages 1 155 8.8 2 127 8.3 3 72 10 4 6
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Question:
Employee | Work Hours Missed | Annual Wages |
1 | 155 | 8.8 |
2 | 127 | 8.3 |
3 | 72 | 10 |
4 | 6 | 15.8 |
5 | 36 | 14.5 |
6 | 56 | 21 |
7 | 63 | 10.8 |
8 | 11 | 17.2 |
9 | 49 | 12.8 |
10 | 485 | 12.2 |
11 | 79 | 9.7 |
12 | 91 | 10.2 |
13 | 191 | 7.8 |
14 | 34 | 11.5 |
15 | 82 | 10.9 |
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A manufacturing firm wants to determine whether a relationship exists between the number of work-hours an employee misses per year (Y) and the employee's annual wages (X), to test the hypothesis that increased compensation induces better work attendance. The data provided in the table below are based on a random sample of 15 employees from this organization. Estimate a simple linear regression model using the sample data. How well does the estimated model fit the sample data? Perform an F-test for the existence of a linear relationship between Yand X. Use a 5% level of significance What does the F-test result mean (Hint: use the hypotheses testing to interpret)? Plot the fitted values versus residuals associated with the model in part a. What does the plot indicate? Suppose you learn that the 10% employee in the sample has been fired for missing an excessive number of work- hours during the past year (Hint: is this an outlier?). In light of this information, how would you proceed to estimate the relationship between the number of work-hours an employee misses per year and the employee's annual wages, using the available information? If you decide to revise your estimate of this regression equation, repeat parts a and b. a. b. c. d. A manufacturing firm wants to determine whether a relationship exists between the number of work-hours an employee misses per year (Y) and the employee's annual wages (X), to test the hypothesis that increased compensation induces better work attendance. The data provided in the table below are based on a random sample of 15 employees from this organization. Estimate a simple linear regression model using the sample data. How well does the estimated model fit the sample data? Perform an F-test for the existence of a linear relationship between Yand X. Use a 5% level of significance What does the F-test result mean (Hint: use the hypotheses testing to interpret)? Plot the fitted values versus residuals associated with the model in part a. What does the plot indicate? Suppose you learn that the 10% employee in the sample has been fired for missing an excessive number of work- hours during the past year (Hint: is this an outlier?). In light of this information, how would you proceed to estimate the relationship between the number of work-hours an employee misses per year and the employee's annual wages, using the available information? If you decide to revise your estimate of this regression equation, repeat parts a and b. a. b. c. d.
Expert Answer:
Answer rating: 100% (QA)
5642 answers X Y XY X Y 155 88 1364 24025 7744 127 83 10541 16129 6889 72 10 720 5184 100 6 158 948 36 24964 36 145 522 1296 21025 56 21 1176 3136 441 ... View the full answer
Related Book For
Essentials of Business Statistics Communicating With Numbers
ISBN: 978-0078020544
1st edition
Authors: Sanjiv Jaggia, Alison Kelly
Posted Date:
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