[R] Output interpretation: standard error of lm dummy variable

[Livia Maria Vestergaard]

Hi guys

I have a statistical question to an analyse I ran in R. It is a dummy variable  model with the 5 regions of Denmark as 4 independent dummy variables and price as the dependent variable:

price = 10.325 - 0.176*Sjaeland - 0.368 * NJylland - 0.230*MJylland - 0.120* Syddanmark

I understand the R^2 = 0.7348  - that it shows the explanatory force of the model (between 0 and 1)
My question is simply how to interpret the standard error = 0.7348 on 342199 degrees of freedom? How is it calculated when the model is a dummy variable model. And what does  it mean that the F-statistic says that there are 1894 on 4 and 342199 DF (degrees if freedom?) with a p-value < 0?

I have been searching for hours - and can't quite figure out how R reached the numbers and how to interpret the output of standard error and the p-value of the dummy model.

I really hope you can help :)

Best Livia 
-------------- n?ste del --------------
En vedhæftet fil der ikke var tekst, er blevet fjernet...
Navn: Regioner.png
Type: image/png
Størrelse: 67604 bytes
Beskrivelse: Regioner.png
URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20150519/40b90040/attachment.png>