A class collects data on the number of movie tickets purchased and the total cost of those tickets. The class plots the data on a scatter plot. Which statement BEST interprets their results?

A. There is likely to be neither correlation nor causation between the number of movie tickets purchased and the total cost of those tickets.

B. There is likely to be correlation between the number of movie tickets purchased and the total cost of those tickets but not causation.

C. There is likely to be both correlation and causation between the number of movie tickets purchased and the total cost of those tickets.

D. There is likely to be causation between the number of movie tickets purchased and the total cost of those tickets but not correlation.

Their results will likely show: C. both correlation and causation between the number of movie tickets purchased and the total cost of those tickets.

What is Correlation and Causation?

When two variables are correlated, it means one quantity changes as the other also changes. The correlation can be a causation when one variable is said to be the factor responsible for the other variable to change, and they are not just merely associated.

The number of tickets directly affects the total cost of tickets purchased. Therefore, their results will likely show: C. both correlation and causation between the number of movie tickets purchased and the total cost of those tickets.

Learn more about correlation and causation on:

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