QUESTION 3 (a) Being a human resource director, you decide to use the point method for job evaluation for human resource manager, admin assistant and front desk receptionist. Design the compensable factors, degrees and weights of each factor and calculate it. Justify your answer. (20 marks) (b) For the summary output as shown in Table 1, apply the formula to calculate the predicted base pay for human resource manager, administrative assistant and front desk receptionist (5 marks) TOTAL 25 MARKS Table 1. summary wuwut SUMMARY OUTPUT Regression Statistics Multiple R 0.98488423 R Square 0.969996946 Adjusted R Square 0.959995928 Standard Error 3683.268058 Observations 5 ANOVA Regression Residual Total Significance SS MS F F 1 1.32E+09 1.32E+09 96.98982 0.002225831 3 40699391 13566464 4 1.36E+09 Standard Lower Upper Coefficients Emor P-value Lower 95% Uoper 95% 95.0% 95.0% -23699.88959 6737.09 -3.51782 0.038978 45140.31686 2259.462322 45140.31686 2259.462322 250.4191311 36.29232 9.848341 0.002226 241.9207759 472.9174862 241.9207759 472.9174862 Intercept X RESIDUAL OUTPUT Observation 1 WN- Predicted Y Residuals 19190.40614 754.0339 28125.88441 1332.446 38848.45834 4848.46 53145.22359 3729.776 63867.79752 -967.798 3 4 5 QUESTION 3 (a) Being a human resource director, you decide to use the point method for job evaluation for human resource manager, admin assistant and front desk receptionist. Design the compensable factors, degrees and weights of each factor and calculate it. Justify your answer. (20 marks) (b) For the summary output as shown in Table 1, apply the formula to calculate the predicted base pay for human resource manager, administrative assistant and front desk receptionist (5 marks) TOTAL 25 MARKS Table 1. summary wuwut SUMMARY OUTPUT Regression Statistics Multiple R 0.98488423 R Square 0.969996946 Adjusted R Square 0.959995928 Standard Error 3683.268058 Observations 5 ANOVA Regression Residual Total Significance SS MS F F 1 1.32E+09 1.32E+09 96.98982 0.002225831 3 40699391 13566464 4 1.36E+09 Standard Lower Upper Coefficients Emor P-value Lower 95% Uoper 95% 95.0% 95.0% -23699.88959 6737.09 -3.51782 0.038978 45140.31686 2259.462322 45140.31686 2259.462322 250.4191311 36.29232 9.848341 0.002226 241.9207759 472.9174862 241.9207759 472.9174862 Intercept X RESIDUAL OUTPUT Observation 1 WN- Predicted Y Residuals 19190.40614 754.0339 28125.88441 1332.446 38848.45834 4848.46 53145.22359 3729.776 63867.79752 -967.798 3 4 5
