Assume you run a regression

Marked out of 1.00 Select one: Flag question O a. The second model has higher overall explanatory power, but whether it is a "better" model than the first model depends on other factors too (expected signs of the coefficients, significant t-stats/p- values, etc.). O b. The independent variables in the first model are not statistically significant, despite what the t-stats and p-values suggest. O c. The second model is unambiguously better; since R signifies the explanatory power of the entire model, the second model's other results (expected signs, t-stats/p-values) are not as important. The first model should be seen as inferior. O d. The second model has better overall explanatory power, but a better R2 is only gained at the expense of other factors. The first model is better at explaining individual coefficient estimates than the second. M acer