AQA GCSE Maths

Revision Notes

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(Statistical Diagrams)

Time Series Graphs

Time Series Graphs

 

What Is a Time Series Graph?

A time series graph shows how a quantity changes over time.

  • It’s also known as a line graph.
  • Used to represent continuous data.
  • Ideal for spotting trends, patterns, or changes over time.

 

Examples of Time Series Data:

  • Temperature measured every hour
  • Sales recorded monthly
  • Speed of a car every second
  • Number of people visiting a park each day

 

How Do I Draw a Time Series Graph?

Step-by-Step:

  1. Horizontal axis (x-axis) = time
  2. Vertical axis (y-axis) = quantity (e.g. temperature, height, profit)
  3. Plot points accurately for each time and value pair
  4. Join the points with straight lines using a ruler
  5. If there are two or more data sets, use different colours or line styles and include a key

 

Example

A fitness instructor records the number of people in an outdoor class every 10 minutes during a 1-hour session:

 

Time (min)People in Class
04
106
209
309
407
505
604

 

Plot these points on a time series graph and join them with straight lines.

 

time series graph of outdoor fitness class

 

How Do I Interpret a Time Series Graph?

Look for these features:

  • Upward slope ( / ) = increase
  • Downward slope ( \ ) = decrease
  • Flat/horizontal line = no change
  • Steep slope = rapid change
  • Spike or dip = sudden jump or drop

 

Examples

(a) When were the most people in the class?

  • Look for the highest point.
  • Max = 9 people at 20 and 30 minutes

(b) When did the number stay the same?

  • Look for horizontal lines.
  • From 20 to 30 minutes, the value was constant at 9

(c) Describe the overall trend:

  • People increased at first, peaked at 20–30 min, then declined
  • General pattern: 📈 then 📉

 

Tuity Tip

Hover me!

Always label your axes and use an even scale

Use a ruler to draw straight lines

If you're comparing two data sets, include a key

Use the graph to describe trends, not just specific numbers

Check for steady changes, sudden changes, or unchanging values

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