This question uses the same 2018 GSS data. We now add a seco…

This questiоn uses the sаme 2018 GSS dаtа. We nоw add a secоnd predictor: realrinc: the respondent's real (inflation-adjusted) personal income, in dollars. male: a binary variable scored 1 if the respondent is male, and 0 if female. college: a binary variable scored 1 if the respondent holds a bachelor'sdegree or higher, and 0 otherwise. Refer to the regression output below. a) Is college education a statistically significant predictor of income in this model? You do not need to conduct a formal test; explain how you can tell from the output, and briefly interpret what the college coefficient means. b) Report the R-squared value for this model and compare it to the R-squared from the model in Question 1. How much did it change, and what does this comparison suggest about the relative importance of education versus sex in explaining income?