Can you determine correlation from the LDS, and how?

• A. Observe relationships between variables; formal correlation requires a statistical measure if allowed.
• B. Correlation can be inferred by eye without any calculation.
• C. Correlation is always caused by a third variable.
• D. Correlation is not meaningful for this dataset.

Answer: (A)

Correlation means looking at how two variables move together. In the Large Data Set you’d start by comparing pairs of variables to see if there’s a pattern: if one variable rises, does the other tend to rise, fall, or stay the same? You can spot this trend by using scatter plots to get a visual sense of the relationship. If the task allows, you then quantify it with a formal statistic (like Pearson’s correlation coefficient), which gives a numerical measure of both the strength and direction of the relationship. So this approach—first observe the pattern, then apply a statistical measure when permitted—is the best way to determine correlation in the LDS.