I am quite new with R and while i am able to perform the basics i am not yet able to understand the output results. For example:
summary(lmodel)
generates the following:
Call:
lm(formula = temperature ~ altitude + sea.distance, data = meteodata)
Residuals:
Min 1Q Median 3Q Max
-1.40156 -0.46083 -0.04078 0.50961 1.49844
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 19.736000 0.257222 76.728 < 2e-16 ***
altitude -0.016509 0.004006 -4.121 0.000714 ***
sea.distance 0.531111 0.414166 1.282 0.216927
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 0.7425 on 17 degrees of freedom
Multiple R-squared: 0.864, Adjusted R-squared: 0.848
F-statistic: 54 on 2 and 17 DF, p-value: 4.317e-08
I know about the ?summary
, help(summary)
and i am familiar with the basic concepts, but i would kindly ask for some thorough explanation of the summary in regards to my model (residuals
, coefficients
, F-statistic
, Residual standard error
, etc.).
It seems that there are several similar answered questions in this forum, however none of them macthes exactly my case.
Any help is welcome. Thanks in advance