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Following the Journey of Data

Part of Line Graphs — GCSE Mathematics

This introduction covers Following the Journey of Data 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 1 of 9 in this topic. Use this introduction to connect the idea to the wider topic before moving on to questions and flashcards.

Topic position

Section 1 of 9

Practice

10 questions

Recall

20 flashcards

📈 Following the Journey of Data

You're tracking your progress in a fitness app, watching your daily step count climb from 3,000 steps in January to 8,000 steps in June. A line graph connects these data points with a smooth curve, telling the complete story of your fitness journey - not just where you started and ended, but how you progressed each month, including that dip in March when you were busy with exams. Line graphs are perfect for showing how things change over time.

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.

Key Facts About Line GraphsLine Graph Example: Temperature ChangesTypes of Line Graphs

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

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.
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

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