Suppose you are giveSuppose 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? Group of answer choices Not highly, the r-squared is far too low. Highly, despite the low r-squared it is likely the effect estimated is causal and valuable for active prediction. Highly, the r-squared value is still high enough to justify that the effect is causal. Not highly, the implied correlation of the r-squared is too low.n 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