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Based on the aforementioned case, following estimated regression equation was presented (x1=career satisfaction, x2=absenteeism, y=employee performance) 3.081 + 0.812k + -0.778x2 a) b) c) d)
Based on the aforementioned case, following estimated regression equation was presented (x1=career satisfaction, x2=absenteeism, y=employee performance)
3.081 + 0.812k + -0.778x2 a) b) c) d) e) SST = 34.222, SSR = 3.042, =0.336, and = 0.325. Compute MSR and MSE. Compute F and perform the appropriate F test. Use a = 0.05. Perform a t-test for the significance of Pl. Use a = 0.05 (t=l .860). Perform a t-test for the significance of 2. Use a = 0.05 (t=l .860). Check if there is a multicollinearity problem in the dataset.
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