Summarizing linear model fits

The summary function can be used to obtain the formatted coefficient, standard errors, degree of freedom, and other summarized information of a fitted model. This recipe introduces how to obtain overall information on a model through the use of the summary function.

Getting ready

You need to have completed the previous recipe by computing the linear model of the x and y1 variables from the quartet, and have the fitted model assigned to the lmfit variable.

How to do it...

Perform the following step to summarize linear model fits:

  1. Compute a detailed summary of the fitted model:
    > summary(lmfit)
    
    Call:
    lm(formula = y1 ~ x)
    
    Residuals:
         Min       1Q   Median       3Q      Max 
    -1.92127 -0.45577 -0.04136  0.70941  1.83882 
    
    Coefficients:
     Estimate ...

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