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Scatterplots & Association

General Mathematics
StudyPulse

Scatterplots & Association

General Mathematics
01 May 2026

Scatterplots and Association Between Two Numerical Variables

What is a Scatterplot?

A scatterplot displays pairs of numerical values $(x, y)$ as points on a coordinate plane. Each point represents one individual/case.

  • x-axis: explanatory variable
  • y-axis: response variable

Describing Association: Four Features

1. Direction

Direction Description Example
Positive As x increases, y tends to increase Height vs weight
Negative As x increases, y tends to decrease Hours TV watched vs exam score
No association No clear pattern Shoe size vs exam score

2. Form

Form Description
Linear Points follow an approximately straight-line pattern
Non-linear Points follow a curved pattern (e.g. parabolic, exponential)

3. Strength

How closely do the points follow the pattern?

Strength Description
Strong Points cluster tightly around the pattern
Moderate Some scatter around the pattern
Weak Large scatter; pattern barely visible

4. Outliers

A point that deviates markedly from the overall pattern — either far from the main cluster or not following the trend.

Describing a Scatterplot (Full Template)

“The scatterplot shows a [strong/moderate/weak], [positive/negative], [linear/non-linear] association between [x variable] and [y variable]. There [is/are / is no] outlier(s).”

Example: “The scatterplot shows a strong, positive, linear association between hours studied and exam score. There are no outliers.”

Worked Example

Data (hours studied, exam score):

Hours Score
1 45
2 52
3 61
4 68
5 75
6 80
8 91

Plotting these points, the pattern is approximately linear, increasing from bottom-left to top-right.

Description: Strong, positive, linear association between hours studied and exam score. No outliers.

Identifying Outliers in Scatterplots

An outlier in a scatterplot is a point that:
- Falls far from the main cluster of points, or
- Does not follow the general trend (e.g. high x but low y when the trend is positive)

KEY TAKEAWAY: Outliers in a scatterplot can be misleading — always note them, then consider their effect on the regression line.

EXAM TIP: VCAA questions often give a scatterplot and ask you to describe the association. Use all four features: direction, form, strength, outliers. Missing any one feature typically costs marks.

COMMON MISTAKE: Describing only direction (“it goes up”) without mentioning strength, form, and outliers. The full description requires all four features.

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