A company tracks the relationship between advertising expenditure (in thousands of dollars) and monthly sales revenue (in thousands of dollars) over 12 months. The data shows that when advertising spending increased from $15K to $25K, sales revenue increased from $180K to $220K. However, during the same period, the company also launched a new product line and hired additional sales staff. Based on this information, which statement most accurately describes what can be concluded from this data? Answer: The observed relationship suggests correlation between advertising and sales, but confounding variables prevent establishing direct causation.
Choice C correctly identifies that while there's an observable correlation between advertising spending and sales revenue, the presence of confounding variables (new product line and additional sales staff) makes it impossible to establish that advertising alone caused the sales increase. Choice A incorrectly assumes causation and extrapolates a fixed relationship. Choice B confuses correlation with causation. Choice D goes too far in dismissing any relationship—correlation can still be observed even with confounding variables present.
