## Multiple R-squared: 0.719, Adjusted R-squared: 0.7108
## F-statistic: 87.01 on 4 and 136 DF, p-value: < 2.2e-16</code></pre>
<p>What do you know. That was it. The difference in <span class="math inline">\(R^2\)</span> is huge!</p>
+<p>A little further digging (by Nick Vincent) revealed that these two outliers come from auctions where the Mario kart game was being sold as part of a bundle along with other games. You can look this up in the <code>title</code> field from the original dataset using the following block of code:</p>
+<pre class="r"><code>data(mariokart)
+
+mariokart %>%
+ filter(total_pr > 100) %>%
+ select(id, total_pr, title)</code></pre>
+<pre><code>## # A tibble: 2 x 3
+## id total_pr title
+## <dbl> <dbl> <fct>
+## 1 110439174663 327. "Nintedo Wii Console Bundle Guitar Hero 5 Mario Kart "
+## 2 130335427560 118. "10 Nintendo Wii Games - MarioKart Wii, SpiderMan 3, et…</code></pre>
+<p>What do you make of the textbook authors’ decision to drop the observations? Can you make a case for/against doing so? What seems like the right decision and the best way to handle this kind of situation?</p>
</div>
<div id="interpret-some-results" class="section level2">
<h2>Interpret some results</h2>
What do you know. That was it. The difference in $R^2$ is huge!
+A little further digging (by Nick Vincent) revealed that these two outliers come from auctions where the Mario kart game was being sold as part of a bundle along with other games. You can look this up in the `title` field from the original dataset using the following block of code:
+
+```{r}
+data(mariokart)
+
+mariokart %>%
+ filter(total_pr > 100) %>%
+ select(id, total_pr, title)
+
+```
+
+
+What do you make of the textbook authors' decision to drop the observations? Can you make a case for/against doing so? What seems like the right decision and the best way to handle this kind of situation?
+
## Interpret some results
The issues above notwithstanding, we can march ahead and interpret the results of the original model that I fit. Here are some general comments and some specifically focused on the `cond_new` and `stock_photo` variables: