With the Fox News data (foxnewsdata) and from the regression in Question #2 in Chapter 2, add in three variables: foxnews = dummy variable for whether the town had the Fox News channel made available...

With the Fox News data (foxnewsdata) and from the regression in Question #2 in Chapter 2, add in three variables: foxnews = dummy variable for whether the town had the Fox News channel made available between 1996 and 2000; group3 = dummy variable for whether the town had the variable votes1996 between 5000 and 9999; group4 = dummy variable for whether the town had the variable votes1996 at least 10,000. (Note that this model may not be holding constant all relevant factors, and so the coefficient estimate on foxnews may be a biased estimate of the true causal effect of the adoption of Fox News.)

a. Interpret the coefficient estimate on the variable, foxnews. b. Interpret the coefficient estimate on the variable, group3. c. Based on the regression model estimates, if group3 were instead a dummy variable for “at least 5000 voters in 1996” then what would be the new coefficient estimate on group4? Explain why this is the case