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Question 122 - CBDA discussion

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After analyzing sales data, the analytics team finds that the older the customer, the more expensive the neckties purchased. The team felt this was a breakthrough insight but on closer analysis realized that other factors could account for this relationship. This is a clear indication that:

A.
Correlation between variables implies causation
Answers
A.
Correlation between variables implies causation
B.
Causation has no relationship with correlation
Answers
B.
Causation has no relationship with correlation
C.
Causation between variables does not imply correlation
Answers
C.
Causation between variables does not imply correlation
D.
Correlation between variables does not imply causation
Answers
D.
Correlation between variables does not imply causation
Suggested answer: D

Explanation:

The analytics team found a correlation between the age of the customer and the price of the neckties purchased, meaning that as one variable changes, the other tends to change in the same direction. However, this correlation does not imply causation, meaning that one variable does not necessarily cause the other to change. There could be other factors, such as income, preference, or quality, that affect both variables and create a spurious relationship. Therefore, the team realized that they need to investigate further to determine if there is a causal link between the variables, or if the correlation is coincidental12

Reference: 1: Correlation vs. Causation | Difference, Designs & Examples - Scribbr 2: Correlation vs Causation: Understanding the Differences - Statistics By Jim

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asked 18/09/2024
Fakhruddin Abbas
32 questions
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