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.

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!

Exercise

Testing The Regression Model I

Instructions