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In this video, we will discuss how to interpret your data.

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We will briefly talk about what your data shows, your trend line, your equation for

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your trend line and the r squared value.

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Your interpretation is marked under the analysis criterion.

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There is no need to overcomplicate this section.

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The key here is to focus on what your data shows.

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Let's see how this is done in the example IA.

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First, I make a simple statement about what my graph shows, connecting it to the hypothesis.

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Note that I do not go into details about why this happens.

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Next, I briefly explain how I got my trend line and I mention its equation.

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I do not evaluate the equation here.

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Finally, I refer to my r squared value and briefly state how it confirms that the trend

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line fits the data well.

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Please note that this is all the r squared value means, it does not lead to any deeper

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conclusions about the physics behind your investigation.

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If you got a linear graph, it might make sense to mention its gradient and axis intercept.

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You will evaluate these in more detail in the next section.

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This completes step 6, action 4, now you know how to interpret your data.

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In the next video, we will discuss how to answer the research question based on your

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data.