StatisticsDeep Dive

Types of Line Graphs

Part of Line GraphsGCSE Mathematics

This deep dive covers Types of Line Graphs within Line Graphs for GCSE Mathematics. Revise Line Graphs in Statistics for GCSE Mathematics with 10 exam-style questions and 20 flashcards. This topic appears less often, but it can still be a useful differentiator on mixed-topic papers. It is section 4 of 9 in this topic. Use this deep dive to connect the idea to the wider topic before moving on to questions and flashcards.

Topic position

Section 4 of 9

Practice

10 questions

Recall

20 flashcards

Types of Line Graphs

1. Simple Line Graph

Shows one variable changing over time (like the temperature example above).

2. Multiple Line Graph

Compares two or more variables on the same graph. Each line represents a different dataset.

3. Step Graph

Shows data that changes in distinct steps rather than smooth transitions. Useful for things like postage rates or tax brackets.

4. Smooth Curve

When data points suggest a smooth mathematical relationship, the line may be curved rather than straight between points.

Keep building this topic

Read this section alongside the surrounding pages in Line Graphs. That gives you the full topic sequence instead of a single isolated revision point.

Practice Questions for Line Graphs

A time series graph is used to show:

  • A. The relationship between two variables
  • B. How data changes over time
  • C. The frequency of different categories
  • D. The spread of a data set
1 markfoundation

A time series graph shows house prices from 2015 to 2023. A student extends the line to predict the house price in 2030. Explain why this prediction might be unreliable.

2 marksstandard

Quick Recall Flashcards

When should you use a line graph?
Use line graphs to: • Show changes over time • Display continuous data • Show trends and patterns • Compare multiple datasets • Enable interpolation and extrapolation
What is a line graph?
A line graph is a type of chart that displays data as points connected by straight lines. It's used to show how data changes over time or across a continuous variable.

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