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Case Study

Based on your understanding of scatterplots, explain what this specific straight line is called and describe what its presence helps the research team visually understand about the two variables.

Case context: A research team studying political psychology has plotted the relationship between inflation rates (a quantitative variable) and the percentage of votes received by incumbent presidential candidates (another quantitative variable) on a scatterplot. They have drawn a straight line through the data that best captures the overall trend of the points.

Question: Based on your understanding of scatterplots, explain what this specific straight line is called and describe what its presence helps the research team visually understand about the two variables.

Sample answer: The straight line is called a line of best fit, or a regression line. Its presence helps the research team by providing a clear visual summary of the relationship and correlation between the two quantitative variables, showing the overall trend.

Key points:

  • The line is referred to as a line of best fit or a regression line.
  • The line represents the overall trend of the plotted points in the study.
  • It provides a visual summary of the relationship between the two variables.
  • It helps summarize the correlation between the variables on the scatterplot.

Rubric: Full credit requires identifying the line as a 'line of best fit' or 'regression line' and explaining that it provides a visual summary of the relationship and correlation between the two quantitative variables.

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Updated 2026-05-27

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Research Methods in Psychology - 4th American Edition @ KPU

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