From p. 277 of *R Cookbook*:  

> Let's say I have a R model lm(formula = y ~ u + v + w) and the
> Summary() shows:  
> 
> Multiple R-Squared: 0.4981, Adjust R-Squared: 0.4402 F-statistic:
> 8.603 on 3 and 26 DF, p-value: 0.0003915
> 
> Using Adjusted r-Squared I can say that my model explains 44.02% of
> the variance of y with the remaining 55.98 unexplained.

Question:  **Does the associated F-statistic (with the p-value being < .05) tell me:**  

1. the model, in general, is significant (not taking into account other values from Summary)
2. the model is significant in explaining the 44.02% variance (adjusted r-squared)