CHAPTER 9 Causal inference using regression on the treatment variable 9.1 Causal inference and predictive comparisons So far, we have been interpreting regressions predictively: given the values of several inputs, the fitted model allows us to predict y, considering the n data points as a simple random sample from a hypothetical infinite “superpopulation” or probability distribution. Then we can m