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Exercise

Testing The Regression Model I

So we have established that we are testing our hypothesis whether giving people more money leads to them liking us more.

Remember how we used lm() and summary() before to see the R squared of our model? Well we're going to use these functions again to find our t-value, and associated p-value. No manual calculations necessary - pretty great, right?

The lm() function takes the format lm(response variable ~ predictor variable) (however of course you would write your own variable names here).

The summary() function takes the object you would like a summary of as its first argument. In this case it's going to be your regression model.

Instructions

100 XP
  • In your script, assign your regression model to the variable mod1 using the function lm().
  • In your script, use the summary() function to find the summary of mod1, and assing this to sum1.
  • Hit 'Submit' and have a look at the output!