Exercise

Fitting a regression with a numerical x

Let's now explicity quantify the linear relationship between score and bty_avg using linear regression. You will do this by first "fitting" the model. Then you will get the regression table, a standard output in many statistical software packages. Finally, based on the output of get_regression_table(), which interpretation of the slope coefficient is correct?

Instructions 1/3

XP

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Fit a linear regression model between score and average beauty using the lm() function and save this model to model_score_2.

Take Hint (-9 XP)