Two-variable data models and scatterplots: practice and worksheets
Interpret scatterplots, lines of best fit, residuals, and association between two quantitative variables.
Concept overview
A scatterplot can show positive, negative, or no association. A fitted line summarizes the overall trend, but association alone does not prove that one variable causes the other.
Key points
- Describe direction, strength, form, and outliers when reading a scatterplot.
- Interpret slope as the predicted change in y for a one-unit increase in x.
- Compute a residual as observed value minus predicted value.
Worked example
If a fitted line predicts 72 and the observed value is 76, the residual is 76 − 72 = 4, so the point lies above the line.
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Questions by difficulty
Two-variable data models and scatterplots worksheet practice
Use the printable worksheet for independent practice, then check the answer key and worked explanations.
Frequently asked questions
How should I practice Two-variable data models and scatterplots?
Start with foundation questions, check each answer, and move up a level after several correct answers in a row.
How many practice questions are available?
IQClub currently has 37 published questions for this skill.
Can I use this for test preparation?
Yes. The practice reinforces school mathematics and the same reasoning used in high-school tests and entrance exams.