UNIVERSITY OF THE CUMBERLANDS • DSRT 734

DSRT 734: Testing Two Variables for Correlation in JASP

This question is related to DSRT 734 Inferential Statistics in Decision-Making at University of the Cumberlands.

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DSRT 734 Question

A researcher has collected the attached data and wants to determine
if the two variables are correlated. Download the attached dataset
and open it in JASP. Create a scatterplot, run the correct test, copy
your output into the answer blank, and write your conclusion in APA
format. There is no need to copy the scatterplot into the answer as
it will not paste correctly.

The dataset referenced in this question is not included.

What this question assesses

This assignment assesses a complete correlation workflow: variable validation, scatterplot diagnosis, method selection, statistical output, and an APA interpretation that does not confuse association with causation.

How to approach this type of question

The absent dataset is necessary for every empirical result. After importing it, confirm that the two analysis columns contain paired measurements from the same observational units and document their scales. Create the scatterplot first. Inspect direction, linearity, monotonicity, clusters, outliers, and the range of each variable. Use those observations and course assumptions to choose between a linear coefficient and an appropriate alternative rather than selecting a test before seeing the data. In JASP, request the chosen coefficient, p-value, sample size, and confidence interval when available, and verify whether missing pairs change N. Keep the plot as an analysis diagnostic even though the prompt says it need not be pasted. The written report should identify both variables, the coefficient used, its sign and magnitude, uncertainty, and a bounded statistical decision. No coefficient, output, or final conclusion can be supplied without the attachment.

A reproducibility checklist should capture the dataset filename or source, variable labels and units, exclusion rules, analyzed N, plot observations, selected coefficient, confidence interval, and test output. If a transformed or rank-based analysis is chosen, explain which diagnostic motivated it. Do not remove an outlier solely to strengthen significance; investigate and document it. The APA conclusion must come from the actual current analysis and must not describe association as a confirmed causal effect. Save the JASP project so the selected analysis and options can be independently reopened.

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Sources & updates

Published by Domyclass • Updated August 2026