GCSE Statistics · Topic guide

Scatter Graphs and Line of Best Fit

A scatter graph plots pairs of values for two related variables as points on a coordinate grid, so that any pattern or relationship (correlation) between them can be seen. In GCSE Statistics, a line of best fit is a straight line drawn through the middle of the points on a scatter graph, used to describe and estimate values for the relationship between the two variables.

Foundation & HigherCorrelation and Time SeriesEdexcel

Before you start

Make sure you're comfortable with these topics first:

Method

  1. Plot each pair of values as a single point on a coordinate grid, with one variable on the horizontal axis and the other on the vertical axis.
  2. Look at the overall pattern of the points to decide whether there is positive, negative or no correlation.
  3. If the points show a roughly linear pattern, draw a single straight line of best fit that passes as close as possible to all the points, with a similar number of points on each side.
  4. The line of best fit does not have to pass through the origin or through any particular point, unless the data specifically supports this.
  5. Use the line of best fit to estimate an unknown value by reading up or across from a known value to the line, then across or down to the other axis.
  6. Be cautious about extrapolating, estimating far beyond the range of the plotted data, since the relationship may not continue in the same way.

Worked example

A scatter graph plots the number of hours revised against the test score for 10 students. A line of best fit is drawn. A student who revised for 5 hours reads across to the line of best fit at a test score of 62, and a student who revised for 8 hours reads across to the line of best fit at a test score of 80. Use these two points on the line to estimate the test score for a student who revises for 6.5 hours.

  1. Find how much the score increases for each extra hour of revision along the line: (80 - 62)/(8 - 5) = 18/3 = 6 marks per hour.
  2. Find the difference in hours between the student we want and the known point at 5 hours: 6.5 - 5 = 1.5 hours.
  3. Multiply the increase per hour by this difference: 1.5 x 6 = 9 marks.
  4. Add this to the score at 5 hours: 62 + 9 = 71.
  5. Final answer: the estimated test score for 6.5 hours of revision is 71.

Practice questions

Try each question, then tap to reveal the answer.

Exam-style questions

Written in the style of a GCSE Statistics exam paper, with a full mark scheme.

Q1[2 marks]

A scatter graph plots the age of a car, in years, against its value, in pounds. Describe the type of correlation you would expect to see, and explain your reasoning.

Q2[3 marks]

A scatter graph shows the number of ice creams sold plotted against the daily temperature, in degrees C, for 12 days. A line of best fit is drawn. On the line, a temperature of 20 degrees C corresponds to 45 ice creams sold, and a temperature of 30 degrees C corresponds to 85 ice creams sold. Use the line of best fit to estimate the number of ice creams sold when the temperature is 25 degrees C.

Q3[3 marks]

A student says: 'My scatter graph shows a strong positive correlation between the number of pet cats owned in a town and the number of trees in that town, so owning more cats must cause more trees to grow.' Explain why the student's conclusion is not justified.

Free printable worksheet

Want more practice on paper? Download the scatter graphs and line of best fit worksheet pack - 21 pages of exam-style questions with a full mark scheme. No sign-up, no email wall - just the PDF, free for personal and classroom use.

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