Beban Kerja Berlebih Kualitatif Tanggungjawab dengan Orang Lain

5. Beban Kerja Berlebih Kualitatif

Va ria b le s Ent e re dRe mo ve d a Ku alita tif To t . St epwise Criteria: Probab ilit y-o f- F-to-en ter = .05 0, Probab ilit y-o f- F-to-re mo ve = . 10 0. Mo del 1 Va riab les En tere d Va riab les Re moved Me tho d De pen den t Va riabl e: K inerjaTo t a. Model Summary b .280 a .078 .067 2.285 1.932 Model 1 R R Square Adjusted R Square Std. Error of the Estimate Durbin- Watson Predictors: Constant, KualitatifTot a. Dependent Vari able: KinerjaTot b. Universitas Sumatera Utara ANOV A b 34.604 1 34.604 6.630 .012 a 407.084 78 5.219 441.688 79 Regres sion Residual Total Model 1 Sum of Squares df Mean S quare F Sig. Predic tors: Constant, KualitatifTot a. Dependent Variable: KinerjaTot b. Coefficients a 4.915 1.012 4.856 .000 .698 .271 .280 2.575 .012 1.000 1.000 Constant KualitatifTot Model 1 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients t Sig. Tolerance VIF Collinearity Statistics Dependent Variable: KinerjaTot a. Collineari ty Di agnosti cs a 1.968 1.000 .02 .02 .032 7.798 .98 .98 Dim ension 1 2 Model 1 Eigenvalue Condit ion Index Const ant KualitatifTot Variance P roportions Dependent Vari able: KinerjaTot a. Residuals Statistics a 5.61 8.41 7.44 .662 80 -5.406 4.688 .000 2.270 80 -2.756 1.464 .000 1.000 80 -2.366 2.052 .000 .994 80 Predicted Value Residual Std. Predicted Value Std. Residual Minimum Maximum Mean Std. Deviation N Dependent Variable: KinerjaTot a. Universitas Sumatera Utara Charts Universitas Sumatera Utara Regression Standardized Residual 3 2 1 -1 -2 -3 Frequency 12.5 10.0 7.5 5.0 2.5 0.0 Histogram Dependent Variable: KinerjaTot Mean =1.39E-16฀ Std. Dev. =0.994฀ N =80 Observed Cum Prob 1.0 0.8 0.6 0.4 0.2 0.0 E xpect ed C um P rob 1.0 0.8 0.6 0.4 0.2 0.0 Normal P-P Plot of Regression Standardized Residual Dependent Variable: KinerjaTot Universitas Sumatera Utara

6. Tanggungjawab dengan Orang Lain

Regression Standardized Predicted Value 2 1 -1 -2 -3 R egressi on S tandardi zed R esi dual 3 2 1 -1 -2 -3 Scatterplot Dependent Variable: KinerjaTot Va ria b le s Ent e re dRe mo ve d a tan ggu ngj awabTot . St epwise Criteria: Probab ilit y-o f- F-to-en ter = .05 0, Probab ilit y-o f- F-to-re mo ve = . 10 0. Mo del 1 Va riab les En tere d Va riab les Re moved Me tho d De pen den t Va riabl e: K inerjaTo t a. Universitas Sumatera Utara Model Summary b .587 a .345 .337 1.926 1.797 Model 1 R R Square Adjusted R Square Std. Error of the Estimate Durbin- Watson Predictors: Constant, tanggungjawabTot a. Dependent Vari able: KinerjaTot b. ANOV A b 152.426 1 152.426 41.102 .000 a 289.261 78 3.708 441.688 79 Regres sion Residual Total Model 1 Sum of Squares df Mean S quare F Sig. Predic tors: Constant, tanggungjawabTot a. Dependent Variable: KinerjaTot b. Coefficients a 3.476 .654 5.312 .000 1.360 .212 .587 6.411 .000 1.000 1.000 Constant tanggungjawabTot Model 1 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients t Sig. Tolerance VIF Collinearity Statistics Dependent Variable: KinerjaTot a. Collinearity Diagnostics a 1.944 1.000 .03 .03 .056 5.909 .97 .97 Di mension 1 2 Model 1 Eigenvalue Condition Index Constant tanggungj awabTot Variance Proportions Dependent Vari able: KinerjaTot a. Universitas Sumatera Utara Charts Residuals Statistics a 3.48 10.28 7.44 1.389 80 -4.557 4.164 .000 1.914 80 -2.852 2.044 .000 1.000 80 -2.366 2.162 .000 .994 80 Predicted Value Residual Std. Predicted Value Std. Residual Minimum Maximum Mean Std. Deviation N Dependent Variable: KinerjaTot a. Regression Standardized Residual 3 2 1 -1 -2 -3 Frequency 12.5 10.0 7.5 5.0 2.5 0.0 Histogram Dependent Variable: KinerjaTot Mean =1.08E-16฀ Std. Dev. =0.994฀ N =80 Universitas Sumatera Utara Observed Cum Prob 1.0 0.8 0.6 0.4 0.2 0.0 Expect ed Cum P rob 1.0 0.8 0.6 0.4 0.2 0.0 Normal P-P Plot of Regression Standardized Residual Dependent Variable: KinerjaTot Regression Standardized Predicted Value 3 2 1 -1 -2 -3 Regressi on St andardi zed Resi dual 3 2 1 -1 -2 -3 Scatterplot Dependent Variable: KinerjaTot Universitas Sumatera Utara

3. Analisis Multivariat