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Scatter graphs, correlation and estimates — 0580

Describe association and use a supplied fitted line within the data range.

Core & Extended · Syllabus C9.5, E9.5

Notes and key methods

A scatter graph plots paired numerical observations. Positive correlation means larger x values tend to accompany larger y values; negative correlation means they tend to accompany smaller y values. Association alone does not establish a cause.

A line of best fit follows the overall trend with points on both sides; it need not pass through the origin or every point. Use interpolation within the observed x range with more confidence than extrapolation outside it. No numerical correlation coefficient is required here.

Check the conditions

Three worked examples

Example 1 · Scatter graphs, correlation and estimates

Paired observations are given below. For estimates, use the supplied fitted line \(y=28 - 2 x\).

xy
125
225
322
421
517
616
Diagram for this worked example
Read the description and labels. Geometric sketches are schematic unless coordinate scales are shown.
  1. Choose the direction of the association.
    • positive correlation
    • no association
    • proof of causation
    • negative correlation
  2. Using the supplied fitted line, estimate y at \(\displaystyle x=3\).
  3. Using the supplied fitted line, estimate y at \(\displaystyle x=4.5\).
  4. According to the fitted line, find the change in y when x increases by 2.
Show the reasoning

(a)

Inspect the direction of the overall point trend.

As x increases, y generally decreases.

Answer: negative correlation.

(b)

Interpolate with the supplied line, rather than forcing it through a data point.

Substituting the input gives 22.

Answer: \(22\).

(c)

Use the complete fitted rule at an input within the observed range.

Substitute 4.5 into the fitted line to obtain \(19\).

Answer: \(19\).

(d)

Use the signed gradient for the output change.

The gradient -2 times input change 2 gives -4.

Answer: \(-4\).

Example 2 · Scatter graphs, correlation and estimates

Paired observations are given below. For estimates, use the supplied fitted line \(y=3 x + 29\).

xy
131
236
338
442
543
647
Diagram for this worked example
Read the description and labels. Geometric sketches are schematic unless coordinate scales are shown.
  1. Choose the direction of the association.
    • no association
    • proof of causation
    • positive correlation
    • negative correlation
  2. Using the supplied fitted line, estimate y at \(\displaystyle x=4\).
  3. Using the supplied fitted line, estimate y at \(\displaystyle x=4.5\).
  4. According to the fitted line, find the change in y when x increases by 2.
Show the reasoning

(a)

Inspect the direction of the overall point trend.

As x increases, y generally increases.

Answer: positive correlation.

(b)

Interpolate with the supplied line, rather than forcing it through a data point.

Substituting the input gives 41.

Answer: \(41\).

(c)

Use the complete fitted rule at an input within the observed range.

Substitute 4.5 into the fitted line to obtain \(\displaystyle \frac{85}{2}\).

Answer: \(\displaystyle \frac{85}{2}\).

(d)

Use the signed gradient for the output change.

The gradient 3 times input change 2 gives 6.

Answer: \(6\).

Example 3 · Scatter graphs, correlation and estimates

Paired observations are given below. For estimates, use the supplied fitted line \(y=30 - 4 x\).

xy
125
223
318
415
59
66
Diagram for this worked example
Read the description and labels. Geometric sketches are schematic unless coordinate scales are shown.
  1. Choose the direction of the association.
    • proof of causation
    • negative correlation
    • positive correlation
    • no association
  2. Using the supplied fitted line, estimate y at \(\displaystyle x=5\).
  3. Using the supplied fitted line, estimate y at \(\displaystyle x=4.5\).
  4. According to the fitted line, find the change in y when x increases by 2.
Show the reasoning

(a)

Inspect the direction of the overall point trend.

As x increases, y generally decreases.

Answer: negative correlation.

(b)

Interpolate with the supplied line, rather than forcing it through a data point.

Substituting the input gives 10.

Answer: \(10\).

(c)

Use the complete fitted rule at an input within the observed range.

Substitute 4.5 into the fitted line to obtain \(12\).

Answer: \(12\).

(d)

Use the signed gradient for the output change.

The gradient -4 times input change 2 gives -8.

Answer: \(-8\).

Common mistakes

Practise with answer checking

Original exam-style problems

Write complete solutions before opening the worked solution. The marking guidance rewards reasoning as well as answers.

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