Editing Statistics and Statistical Programming (Fall 2020)/pset8 (section)

== Part I: Replicate analysis from ''OpenIntro'' ==

For this part, please use the <code>mariokart</code> dataset included in the <code>openintro</code> library (and documented [https://www.openintro.org/data/index.php?data=mariokart here]) to do the following:

* Replicate the multiple regression model and results presented in Figure 9.15 on p. 366 of the 'OpenIntro' textbook. 
* Generate plots to diagnose any issues with this model.
* Interpret the results with a particular focus on the relationship between price and two of the predictors: <code>cond_new</code> and <code>stock_photo</code>. Be sure to explain what the results mean for those predictors in terms of the underlying variables (i.e., don't just talk about coefficients as such, but translate them back into the values/scales of the variables).
* Based on the results of this model, how would you advise a prospective vendor of a used copy of ''Mario Kart'' to maximize the auction price they might receive for the game on eBay?