Exercise

The Regression Coefficients I

So now we know our regression model, we need to find a parameter estimates for the intercept, the slope of smiling, and the slope of money. We're going to use the lm() function to find these estimates.

To find the parameter estimates for just money and liking we used lm(liking ~ money). We can add another predictor simply using +. For instance, `lm(response ~ predictor1 + predictor2).

Instructions

100 XP

In your script, use the lm() function to find the regression coefficients for our model examining how money and smiling predicts how much someone likes us.
Make sure that smile is the first predictor, followed by money.
Feel free to experiment with this in your console before submitting your script!