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 correlation between the number of movie tickets purchased and the total cost of those tickets but not causation.

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

C.
There is likely to be neither correlation nor 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.

'There is likely to be correlation between the number of movie tickets purchased and the total cost of those tickets but not causation.' This statement best interprets their results.

What is correlation?

It is a relationship between two variables or events. However, one variable doesn't actually cause the other.

What is causation?

Causation can be applied on two events or variables where variable 2 causes the variable 1.

The class collects data on the number of purchased and the total cost of those tickets.

Let, for a particular time period, this observation is recorded.

Hence, the number of movie tickets purchased and the total cost of those tickets this must be correlation. It can't be causation. Option: A is right.

Learn more about correlation and causation here: https://brainly.com/question/10971583

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