Two-way tables Video transcript Shira's math test included a survey question asking how many hours students had spent studying for the test. The graph below shows the relationship between how many hours students spent studying and their score on the test.
Shira drew the line below to show the trend in the data. Assuming the line is correct, what does the line slope of 15 mean? So let's see.
The horizontal axis is time studying in hours. The vertical axis is scores on the test.
The 5 Different Trend Lines Explained
And each of these blue dots represent the time and the score for a given student. So this student right over here spent-- I don't know, it looks like they spend about 0.
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And they didn't do too well on the exam. They look like they got below a 45, looks like a 43 or a 44 on the exam. And what Shira did is try to draw a line that tries to fit this data.
And it seems like it does a pretty good job of at least showing the trend in the data. Now, slope of 15 means that if I'm on the line-- so let's say I'm here-- and if I increase in the horizontal direction by so there, I increase the horizontal direction by I should be increasing in the vertical direction by And you see that. Now, let's see which of these are consistent.
In general, students who didn't study at all got scores of about 15 on the test. Well, let's see. This is neither true-- these are the people who didn't study at all, and they trend line example get a 15 on the test.
The type of data you have determines the type of trendline you should use.
And that's definitely not what this 15 implies. This doesn't say what the people who didn't study at all get.
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So this one is not true. That one is not true.
I will try to explain the differences and when to use them. On Tableau, you can download the Superstore sample dataset and put sales on Columns and Profit on the Y-axis to follow along. If we choose the circle under the marks card we get a scatter plot. Here this would try to see the relationship between sales and profit.
Let's try this one. If one student studied for one hour more than another student, the student who studied more got exactly 15 more points on the test.
Well, this is getting closer to the spirit of what the slope means. But this word "exactly" is what, at least in my mind, messes this choice up.
This is just saying that this is the general trend that this line is seeing. So it's not guaranteed.
For example, we could find this student here who studied exactly two hours. And if we look at the internet options who studied for three hours, well, there's no one exactly at three hours.
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But some of them-- so this was, let's see, the student who was at two hours. You go to three hours, there's no one exactly there. Trend line example there's going to be students who got better than what would be expected and students who might get a little bit worse. Notice, there's points above the trend line, and there's points below the trend line.
Choosing the best trendline for your data
Let's try this choice. In general, studying for one extra hour was associated with a point improvement in test score.
Let's look at the scatter plot used in this explanation to show a trend line. The data is recorded below. We're going to graph these points on a scatter plot.
That feels about right. In general, studying for 15 extra hours was associated with a 1-point improvement in test score. Well, no, that would get the slope the other way around. So that's definitely not the case. So let's check our answer. And we got it right.