8. A study was conducted to determine the relationship between employee job satisfaction and job performance. The result of the regression analysis produced the model below: Job Performance (y) = 0.18+0.95 Job Satisfaction (x) Which of the following statements is true about the equation? a. Job performance is independent of job satisfaction; such that, for every 1 unit change in Job Satisfaction, there is a 0.95 unit change in job performance. b. Job satisfaction is independent of job performance; such that, for every 1 unit change in Job performance, there is a 0.95 unit change in job satisfaction. C. Job performance is dependent on job satisfaction; such that, for every 1 unit change in job satisfaction, there is a 0.95 unit change in job performance. d. Job satisfaction is dependent on job performance; such that, for every 1 uni change in job satisfaction, there is a 0.95 unit change in job performance. e. Job satisfaction is not related to job performance.

8. A study was conducted to determine the relationship between employee job satisfaction and job performance. The result of the regression analysis produced the model below: Job Performance (y) = 0.18+0.95 Job Satisfaction (x) Which of the following statements is true about the equation? a. Job performance is independent of job satisfaction; such that, for every 1 unit change in Job Satisfaction, there is a 0.95 unit change in job performance. b. Job satisfaction is independent of job performance; such that, for every 1 unit change in Job performance, there is a 0.95 unit change in job satisfaction. C. Job performance is dependent on job satisfaction; such that, for every 1 unit change in job satisfaction, there is a 0.95 unit change in job performance. d. Job satisfaction is dependent on job performance; such that, for every 1 uni change in job satisfaction, there is a 0.95 unit change in job performance. e. Job satisfaction is not related to job performance.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The U.S. Postal Service is attempting to reduce the number of complaints made by the public against its workers. To facilitate this task, a staff analyst for the service regresses the number of complaints lodged against an employee last year on the hourly wage of the employee for the year. The analyst ran a simple linear regression in SPSS. The results are shown below. The current minimum wage is $5.15. If an employee earns the minimum wage, how many complaints can that employee expect to receive? Is the regression coefficient statistically significant? How can you tell?
The table below shows the average weekly wages (in dollars) for state government employees and federal government employees for 10 years. Construct and interpret a 99% prediction interval for the average weekly wages of federal government employees when the average weekly wages of state government employees is $818. The equation of the regression line is y = 1.451x - 40.698. Wages (state), x Wages (federal), y 713 760 785 805 851 870 921 926 947 985 1,002 1,045 1,091 1,145 1,185 1,239 1,281 1,307 1,320 1,400 Construct and interpret a 99% prediction interval for the average weekly wages of federal government employees when the average weekly wages of state government employees is $818. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest cent as needed.) O A. We can be 99% confident that when the average weekly wages of state government employees is $818, the average weekly wages of federal government employees will be between $ and…
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