In this video, we will discuss how to interpret your data.
We will briefly talk about what your data shows, your trend line, your equation for
your trend line and the r squared value.
Your interpretation is marked under the analysis criterion.
There is no need to overcomplicate this section.
The key here is to focus on what your data shows.
Let's see how this is done in the example IA.
First, I make a simple statement about what my graph shows, connecting it to the hypothesis.
Note that I do not go into details about why this happens.
Next, I briefly explain how I got my trend line and I mention its equation.
I do not evaluate the equation here.
Finally, I refer to my r squared value and briefly state how it confirms that the trend
line fits the data well.
Please note that this is all the r squared value means, it does not lead to any deeper
conclusions about the physics behind your investigation.
If you got a linear graph, it might make sense to mention its gradient and axis intercept.
You will evaluate these in more detail in the next section.
This completes step 6, action 4, now you know how to interpret your data.
In the next video, we will discuss how to answer the research question based on your
data.