ANALISIS DE REGRESION
SYSTAT Rectangular file C:\Archivos de programa\SYSTAT 8.0\test.SYD,
created Wed Mar 03, 1999 at 14:24:32, contains variables:
SYSTAT Rectangular file D:\PATOLOGIA\93_97rm.SYD,
created Mon May 24, 1999 at 16:34:58, contains variables:
Es bueno siempre antes del análisis ver la tendencia de los datos.
Qué puede decir de la relación entre Edad vs. Perdidos?
Idem para Edad vs. Obt ?
Igualmente para las otras dos relaciones ?
Resultado del análisis de regresión entre COPD (variable dependiente) vs. Edad de los individuos analizados.
Dep Var: COPD N: 22 Multiple R: 0.097 Squared multiple R: 0.009
Adjusted squared multiple R: 0.000 Standard error of estimate: 3.496
Effect Coefficient Std Error Std Coef Tolerance t P(2 Tail)
CONSTANT 13.280 9.124 0.000 . 1.455 0.161
EDAD -0.210 0.482 -0.097 1.000 -0.436 0.668
Analysis of Variance
Source Sum-of-Squares df Mean-Square F-ratio P
Regression 2.320 1 2.320 0.190 0.668
Residual 244.453 20 12.223
——————————————————————————-
*** WARNING ***
Case 5 is an outlier (Studentized Residual = -2.817)
Case 9 has large leverage (Leverage = 0.371)
Durbin-Watson D Statistic 1.627
First Order Autocorrelation 0.097
Análisis de regresión entre OBT (Obturaciones) vs. edad.
Dep Var: OBT N: 22 Multiple R: 0.445 Squared multiple R: 0.198
Adjusted squared multiple R: 0.158 Standard error of estimate: 3.532
Effect Coefficient Std Error Std Coef Tolerance t P(2 Tail)
CONSTANT 26.442 9.218 0.000 . 2.869 0.009
EDAD -1.081 0.487 -0.445 1.000 -2.220 0.038
Analysis of Variance
Source Sum-of-Squares df Mean-Square F-ratio P
Regression 61.483 1 61.483 4.929 0.038
Residual 249.471 20 12.474
——————————————————————————-
*** WARNING ***
Case 9 has large leverage (Leverage = 0.371)
Case 20 is an outlier (Studentized Residual = 2.748)
Durbin-Watson D Statistic 2.237
First Order Autocorrelation -0.121
Análisis de Regresión entre PERD (Dientes perdidos) vs. Edad.
Dep Var: PERD N: 22 Multiple R: 0.209 Squared multiple R: 0.044
Adjusted squared multiple R: 0.000 Standard error of estimate: 0.552
Effect Coefficient Std Error Std Coef Tolerance t P(2 Tail)
CONSTANT -1.097 1.440 0.000 . -0.762 0.455
EDAD 0.073 0.076 0.209 1.000 0.954 0.351
Analysis of Variance
Source Sum-of-Squares df Mean-Square F-ratio P
Regression 0.277 1 0.277 0.911 0.351
Residual 6.086 20 0.304
——————————————————————————-
*** WARNING ***
Case 9 has large leverage (Leverage = 0.371)
Case 22 is an outlier (Studentized Residual = 4.916)
Durbin-Watson D Statistic 1.788
First Order Autocorrelation -0.172
Plot of Residuals against Predicted Values
22 cases and 8 variables processed and saved.
 |
|