Suppose you are given a set of regression results on the role of a random treatment assignment experiment on the effect of an ad campaign on consumers' willingness to buy your product. The regression results report an R-squared of 0.04. How should you value the regression results?
A. Highly, despite the low R-squared it is likely the effect estimated is causal and valuable for active prediction.
B. Highly, the R-squared value is still high enough to justify that the effect is causal.
C. Not highly, the implied correlation of the R-squared is too low.
D. Not highly, the R-squared is far too low.
Answer: A
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