![]() #F-statistic: 32.15 on 3 and 28 DF, p-value: 3.28e-09įrom the output we can see the following: #Residual standard error: 3.008 on 28 degrees of freedom #create new data frame that contains only the variables we would like to use to In this example we will build a multiple linear regression model that uses mpg as the response variable and disp, hp, and drat as the predictor variables. # mpg cyl disp hp drat wt qsec vs am gear carb Assessing the goodness of fit of the modelįor this example we will use the built-in R dataset mtcars, which contains information about various attributes for 32 different cars: #view first six lines of mtcars. ![]() Examining the data before fitting the model.This guide walks through an example of how to conduct multiple linear regression in R, including:
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