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Define what constitutes a 'linear relationship' in psychological research, and describe the two main directions this type of relationship can take on a scatterplot.

Question: Define what constitutes a 'linear relationship' in psychological research, and describe the two main directions this type of relationship can take on a scatterplot.

Sample answer: A linear relationship is a statistical association between quantitative variables where the data points on a scatterplot are reasonably well fit by a single straight line. It can take the form of either a positive correlation or a negative correlation, as long as the points form a straight linear trend rather than a curve.

Key points:

  • Identifies it as a statistical association between quantitative variables.
  • States that data points on a scatterplot are well fit by a single straight line.
  • Mentions that positive correlations are examples of linear relationships.
  • Mentions that negative correlations are examples of linear relationships.
  • Clarifies that the points must form a straight trend rather than a curve.

Rubric: Full credit is given if the student accurately defines a linear relationship as a statistical association between quantitative variables fit by a single straight line, and explicitly identifies that both positive and negative correlations are examples.

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Updated 2026-05-27

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Research Methods in Psychology - 4th American Edition @ KPU

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