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Case Study

Diagnose the type of correlation between height and weight in this study, and explain how the data points would appear on the researchers' scatterplot based on this finding.

Case context: A research team is analyzing quantitative variables and plotting the relationship between the height and weight of participants. Upon reviewing the data, they note that participants with higher scores for height also tend to have higher scores for weight.

Question: Diagnose the type of correlation between height and weight in this study, and explain how the data points would appear on the researchers' scatterplot based on this finding.

Sample answer: The relationship between height and weight is a positive relationship (or positive correlation) because higher scores on one variable are associated with higher scores on the other. On the researchers' scatterplot, the data points would generally trend upward from the lower left to the upper right.

Key points:

  • Identifies the pattern as a positive relationship or positive correlation.
  • Connects the concept to the association of higher scores on both variables.
  • States that the scatterplot will show an upward trend.
  • Specifies the trend moves from the lower left to the upper right.

Rubric: A correct response must identify the relationship as a positive correlation and accurately describe the visual scatterplot pattern (upward trend from lower-left to upper-right) to demonstrate comprehension of the definition.

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Updated 2026-05-27

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Research Methods in Psychology - 4th American Edition @ KPU

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