Interpreting Graphs and Data Flashcards

1️⃣ Familiarise yourself with the flashcards:

  • Look through all the flashcards to see what's on both sides.
  • Make sure you understand the information on each card. If something's unclear, click the link to the revision notes at the bottom of the page for more details.

2️⃣ Test yourself:

  • Look at the question or prompt on each card and try to remember the answer before flipping it over.
  • Check the answer and make a note of any cards you find challenging and need to go over more.

3️⃣ Consistently Review and Practice:

  • Use spaced repetition: spend more time on the cards you struggle with and go over them more often.
  • Regularly review all the flashcards to help you better understand and retain the information over time.

Note: We may include questions that have multiple correct answers. It's useful to remember specific examples to understand these concepts better.

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On a graph, what does the x-axis usually show?

It usually shows the independent variable, often time or what you change.

On a graph, what does the y-axis usually show?

It usually shows the dependent variable, what you measure or observe.

Why should you always check the scale on a graph’s axes?

So you read the numbers correctly and do not misjudge the size of changes.

How do you read a value from a point on a line graph?

Find the point, trace across to the y-axis, and use the scale to read the value.

How can you describe a trend shown on a graph?

Say how one variable changes as the other changes, using words like 'increases', 'decreases' or 'stays the same'.

What does a steep line on a graph tell you about change?

A steep line means the variable is changing quickly. A gentle line means slower change.

What is a line of best fit used for on a scatter graph?

It shows the overall pattern in the data and lets you estimate values from that pattern.

How can you use a graph to estimate a value between two measured points?

Use the line between the points and read off the value between them. This is called interpolation.

Why is it less certain to predict values beyond the data range on a graph?

Because you do not know if the same pattern continues outside the range that was measured.

When writing a conclusion about a graph, what should you always include?

Describe the pattern and use numbers or ranges from the graph to support what you say.

How can you compare two sets of data shown on the same graph?

Look at both lines or bars at the same x-axis values and compare their height or position.

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