
Hundreds of scatter plot questions for Year/Grade 8-10 statistics, from reading correlation and drawing a line of best fit to spotting outliers and clusters in bivariate data. Editable in seconds and ready for the next lesson.
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The scatter plot question bank covers the work students see most: identifying positive, negative and no correlation, drawing and using a line of best fit, interpolating and extrapolating values, and reasoning about outliers and clustered groups in bivariate data.


Each question pairs a clean scatter plot with a short prompt, so students practise the interpretation skill on the page rather than redrawing axes. Datasets are pulled from contexts students already understand: study hours and test scores, height and shoe size, hours of training and race times, ice cream sales and temperature.
Tutero serves the questions in three tiers. Foundation prompts ask students to describe the relationship and direction. Core prompts move into line of best fit, gradient interpretation and predictions. Stretch prompts handle outliers, clusters and the limits of extrapolation, so one bank covers a mixed-ability classroom.

The bank is built around the question types that show up in middle-school assessments and Algebra 1 exam prep: matching a scenario to a correlation type, sketching a line of best fit by eye, using the line to predict a value, and explaining why one point sits away from the rest.
Every question is editable. Swap the dataset for one your class is studying, change the variable names to match a unit you are running, or strip a question down for a quick warm-up. Answers and worked reasoning are included for each prompt.
Run the bank as a starter, as guided practice during a lesson on bivariate data, or as a short homework set after teaching line of best fit. Each tier is colour-coded, so you can hand out the right level without printing three different sheets.
- You in approximately four minutes
Reading correlation on a scatter plot
Drawing and using a line of best fit
Spotting outliers, clusters and patterns
Students start by identifying whether a scatter plot shows positive, negative or no correlation, and by judging strength as strong, moderate or weak. Questions move from clear-cut datasets, like study hours versus test scores, to noisier real-world data, like daily temperature versus ice cream sales, so students learn that a relationship can exist even when points are not on a perfect line. Each prompt asks for a one-sentence interpretation in context, which is the form most middle-school and Algebra 1 mark schemes reward.
Once correlation is established, students sketch a line of best fit by eye, then use it to make predictions. Prompts cover interpolation within the data range and extrapolation beyond it, and ask students to explain why predictions outside the range are less reliable. More advanced questions ask for the gradient and y-intercept of the line and what each value means in the context of the data, which connects scatter plots back to linear equations students have already met.
The final set focuses on the data points that do not fit. Students identify outliers, explain a plausible reason for them, and decide whether to keep, exclude or flag the point. Other questions look at clusters of points that suggest a hidden variable, and at curved or non-linear patterns where a straight line of best fit is the wrong tool. These are the question types that separate students who can read a scatter plot from students who can interpret one.