Poverty Probability Index

Matriz gráfica de correlación de Pearson

Modelo de Regresión Lineal Múltiple

## 
## Call:
## lm(formula = PPI ~ P1 + P4 + P5 + P6 + P7 + P8 + P9 + P10, data = data)
## 
## Residuals:
##       Min        1Q    Median        3Q       Max 
## -0.103412 -0.025552  0.002816  0.016232  0.235567 
## 
## Coefficients:
##               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.7409881  0.0099726  74.303  < 2e-16 ***
## P1          -0.0110455  0.0006087 -18.146  < 2e-16 ***
## P4          -0.0152671  0.0018702  -8.163 5.50e-14 ***
## P5          -0.0116066  0.0015479  -7.498 2.84e-12 ***
## P6          -0.0045774  0.0008863  -5.165 6.34e-07 ***
## P7          -0.0094187  0.0007229 -13.029  < 2e-16 ***
## P8          -0.0083796  0.0005648 -14.836  < 2e-16 ***
## P9          -0.0092769  0.0007113 -13.043  < 2e-16 ***
## P10         -0.0070752  0.0006717 -10.533  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.03296 on 180 degrees of freedom
## Multiple R-squared:  0.958,  Adjusted R-squared:  0.9561 
## F-statistic: 512.6 on 8 and 180 DF,  p-value: < 2.2e-16

Análisis de Componentes Princiapales