An Industrial psychologist examined the number of absences for employees in Company A. She wanted to...

 

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An Industrial psychologist examined the number of absences for employees in Company A. She wanted to look into a possibility that the number of absences can be regressed onto the stress level for the employees. The following data set below indicates perceived level of stress (Variable X) for a sample of 9 employees in Company A and the number of their absences in one month (Variable Y). A greater number for X indicates a higher level of stress. Answer the following questions as instructed: Level of Stress 00 2 1 # of Absences m 4 7 2 6 3 9 4 6 4 7 7 7 10 11 A. For variables X and Y.compute the following items (no need to show the process of computation (5pts): (a) X= (0) 2 = 10 = (d) Y2= (e) (XY) = B. Using the information above, compute the following regression coefficients (5 pts) (f) slope (b) (g) y-intercept- An Industrial psychologist examined the number of absences for employees in Company A. She wanted to look into a possibility that the number of absences can be regressed onto the stress level for the employees. The following data set below indicates perceived level of stress (Variable X) for a sample of 9 employees in Company A and the number of their absences in one month (Variable Y). A greater number for X indicates a higher level of stress. Answer the following questions as instructed: Level of Stress 00 2 1 # of Absences m 4 7 2 6 3 9 4 6 4 7 7 7 10 11 A. For variables X and Y.compute the following items (no need to show the process of computation (5pts): (a) X= (0) 2 = 10 = (d) Y2= (e) (XY) = B. Using the information above, compute the following regression coefficients (5 pts) (f) slope (b) (g) y-intercept-

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To compute the requested items for variables X and Y we will use the given data se... View the full answer