Datos de Salario Call: lm(formula = monthsal ~ evaluation + sex + years + yearsact + rating) Coefficients: (Intercept) evaluation sex years yearsact rating Value Std. Error -1293.5661 540.1389 7.1552 0.8120 336.5824 205.9956 46.0607 21.4797 -16.3686 35.2996 29.5137 85.5693 t value -2.3949 8.8119 1.6339 2.1444 -0.4637 0.3449 Pr(>|t|) 0.0244 0.0000 0.1148 0.0419 0.6469 0.7330 Residual standard error: 490.9 on 25 degrees of freedom Multiple R-Squared: 0.8356. F-statistic: 25.42 on 5 and 25 degrees of freedom, the p-value is 4.716e-009 1 0 -1 salario. dd$st d. res 2 6 4 0.1 0.2 0.3 0.4 salario.dd$hat 0.5 0.6 0.7 -1 0 1 2 0.0 0.2 0.4 salario.dd$cook 0.6 4 0 5 10 15 indice 20 25 30 -2. 0 4 0 5 10 15 indice 20 25 30 -1. 5 -1. 0 -0. 5 0. 0 salario. dd$df its 0. 5 1. 0 0. 5 leverage<-diag(x.mat%*%solve(t(x.mat)%*%x.mat)%*%t(x.mat)) 0. 3 0. 2 0. 1 leverage 0. 4 4 0 5 10 15 indice 20 25 30 Datos de Cemento PREDICTOR VARIABLES --------CONSTANT X1 X2 X3 X4 X5 COEFFICIENT ----------73.6101 -0.44973 1.29951 0.56301 -0.17039 -0.38591 R-SQUARED ADJUSTED R-SQUARED SOURCE ---------REGRESSION RESIDUAL TOTAL DF --5 8 13 CASES INCLUDED 14 STD ERROR --------105.965 1.13123 1.06597 1.05868 1.04937 1.52207 0.9871 0.9790 SS ---------4453.65 58.3234 4511.97 STUDENT'S T ----------0.69 -0.40 1.22 0.53 -0.16 -0.25 P -----0.5069 0.7014 0.2575 0.6093 0.8750 0.8062 RESID. MEAN SQUARE (MSE) STANDARD DEVIATION MS ---------890.729 7.29043 MISSING CASES 0 F ----122.18 P -----0.0000 7.29043 2.70008 VIF ----92.7 70.8 585.3 642.6 2.2