Why does your degrees of freedom drop after running your model? code:model4 |t| ) (Intercept) - 30061260 96239906 - 0 . 312 0 . 756

Why does your degrees of freedom drop after running your model?

code:model4<-lm(bribe$bribes~bribe$NOC + bribe$GDP + bribe$Polity + bribe$Population + bribe$PressFreedom)

summary(model4)

Call: lm(formula = bribe$bribes ~ bribe$NOC + bribe$GDP + bribe$Polity + bribe$Population + bribe$PressFreedom) Residuals: Min 1Q Median 3Q Max -38495584 -16802187 -6094697 5134769 290489395 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -30061260 96239906 -0.312 0.756 bribe$NOC 21073605 13889032 1.517 0.135 bribe$GDP -4099679 6230743 -0.658 0.513 bribe$Polity -929882 1822159 -0.510 0.612 bribe$Population 5609476 4068595 1.379 0.174 bribe$PressFreedom -367108 546122 -0.672 0.504 Residual standard error: 44930000 on 53 degrees of freedom Multiple R-squared: 0.1148, Adjusted R-squared: 0.03127 F-statistic: 1.375 on 5 and 53 DF, p-value: 0.2487 

Why does your degrees of freedom drop after running your model? I