VARIABLES SIGNIFICADO.

...

la respuesta. Represente

gráficamente la distribución de la prevalencia de OBESIDAD en las diferentes edades.

Descriptive Statistics for Each Value of Crosstab Variable

Obs Total Mean Variance Std Dev

0 2101 43070,0000 20,4998 21,6996 4,6583

1 95 2203,0000 23,1895 57,9637 7,6134

Minimum 25% Median 75% Maximum Mode

0 17,0000 18,0000 19,0000 21,0000 63,0000 18,0000

1 18,0000 18,0000 21,0000 24,0000 56,0000 18,0000

ANOVA, a Parametric Test for Inequality of Population Means

(For normally distributed data only)

Variation SS df MS F statistic

Between 657,5500 1 657,5500 28,2777

Within 51017,8394 2194 23,2533

Total 51675,3893 2195

T Statistic = 5,3177

P-value = 0,0000

Bartlett’s Test for Inequality of Population Variances

Bartlett’s chi square= 59,1549 df=1 P value=0,0000

A small p-value (e.g., less than 0.05 suggests that the variances are not homogeneous

and that the ANOVA may not be appropriate.

Mann-Whitney/Wilcoxon Two-Sample Test (Kruskal-Wallis test for two groups)

Kruskal-Wallis H (equivalent to Chi square) = 21,7051

Degrees of freedom = 1

P value = 0,0000

Gráfico por número de individuos.

Gráfico por % de individuos.

4º.‐ Represente gráficamente la relación entre edad e IMC. Exprese la recta que explique el

IMC en función de la Edad. Explique el grado de relación y razone la respuesta.

Variable Coefficient Std Error F-test P-Value

EDAD 0,123 0,015 68,4049 0,000000

CONSTANT 20,652 0,315 4304,6231 0,000000

Correlation Coefficient: r^2= 0,03

Source df Sum of Squares Mean Square F-statistic

Regression 1 780,806 780,806 68,405

Residuals 2194 25043,358 11,414

Total 2195 25824,163

5º.‐ ¿Existe asociación entre la OBESIDAD, el SEXO y la EDAD?. Razone la respuesta.

Obesidad – Sexo.

Convergence: Converged

Iterations: 5

Final -2*Log-Likelihood: 775,0792

Cases included: 2196

Obesidad – Edad

Convergence: Converged

Iterations: 6

Final -2*Log-Likelihood: 763,7836

Cases included: 2196

Term Odds

Ratio 95% C.I. Coefficient S. E. ZStatistic

P-

Value

SEXO

(Mujer/Hombre) 0,5583 0,3692 0,8442 -0,5829 0,2110 -2,7629 0,0057

CONSTANT * * * -2,7423 0,1555 -17,6313 0,0000

Test Statistic D.F. P-Value

Score 7,8244 1 0,0052

Likelihood Ratio 7,4485 1 0,0063

Term Odds

Ratio 95% C.I. Coefficient S. E. ZStatistic

P-

Value

EDAD 1,0685 1,0407 1,0972 0,0663 0,0135 4,9139 0,0000

CONSTANT * * * -4,5266 0,3246 -13,9467 0,0000

Test Statistic D.F. P-Value

Score 27,9433 1 0,0000

Todo el modelo. Obesidad – Edad – Sexo  

Convergence: Converged

Iterations: 6

Final -2*Log-Likelihood: 757,2441

Cases included: 2196

Likelihood Ratio 18,7441 1 0,0000

Term Odds

Ratio 95% C.I. Coefficient S. E. ZStatistic

P-

Value

SEXO

(Mujer/Hombre) 0,5769 0,3803 0,8753 -0,5500 0,2126 -2,5865 0,0097

EDAD 1,0670 1,0390 1,0957 0,0648 0,0136 4,7785 0,0000

CONSTANT * * * -4,1609 0,3495 -11,9062 0,0000

Test Statistic D.F. P-Value

Score 34,5998 2 0,0000

Likelihood Ratio 25,2836