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Exercise

Simple regression

Regression analysis with R is easy once you have your data in a neat data frame. You can simply use the lm() function to fit a linear model. The first argument of lm() is a formula, which defines the target variable and the explanatory variable(s).

The formula should be y ~ x, where y is the target variable and x the explanatory variable. The second argument of lm() is data, which should be a data frame where y and x are columns.

The output of lm() is a linear model object, which can be saved for later use. The generic function summary() can be used to print out a summary of the model.

Instructions

100 XP
  • Create a scatter plot of 'points' versus 'attitude'.
  • Fit a regression model where 'points' is the target and 'attitude' is the explanatory variable
  • Print out the summary of the linear model object