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r4babs2/week-2/workshop.html

@@ -479,8 +479,8 @@ <h1 class="title">Workshop</h1>
 <p><img src="images/do_in_R.png" class="img-fluid"> Add a comment to the script: <code># Introduction to statistical models: Single linear-regression</code> and load the <strong><code>tidyverse</code></strong> <span class="citation" data-cites="tidyverse">(<a href="#ref-tidyverse" role="doc-biblioref">Wickham et al. 2019</a>)</span> package</p>
 </section><section id="exercises" class="level1"><h1>Exercises</h1>
 <section id="linear-regression" class="level2"><h2 class="anchored" data-anchor-id="linear-regression">Linear Regression</h2>
-<p>The data in <a href="../data/plant.xlsx">plant.xlsx</a> is a set of observations of plant growth over two months. The researchers planted the seeds and harvested, dried and weighed a plant each day from day 10 so all the data points are independent of each other.</p>
-<p><img src="images/do_in_R.png" class="img-fluid"> Save a copy of <a href="../data/plant.xlsx">plant.xlsx</a> to your <code>data-raw</code> folder and import it.</p>
+<p>The data in <a href="data-raw/plant.xlsx">plant.xlsx</a> is a set of observations of plant growth over two months. The researchers planted the seeds and harvested, dried and weighed a plant each day from day 10 so all the data points are independent of each other.</p>
+<p><img src="images/do_in_R.png" class="img-fluid"> Save a copy of <a href="data-raw/plant.xlsx">plant.xlsx</a> to your <code>data-raw</code> folder and import it.</p>
 <p><img src="images/answer.png" class="img-fluid"> What type of variables do you have? Which is the response and which is the explanatory? What is the null hypothesis?</p>
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 <!-- Day is discrete (but ordered) and is the explanatory; mass looks continuous and  -->