Question 1 1 pts I'm predicting hourly wage as a function of the worker's age and education. I got updated data, and now have their years of experience in the workforce available, so I'm thinking about adding experience as a predictor. When I run a regression modeling experience as a function of age and education, the R2 for this auxiliary regression is Rape, = 0.80. What do you expect to be true about the variance of the estimated parameter for experience, ame, ? x O Anytime you add a new variable to the model, 6'2 gets smaller, so mwm) should be pretty small. 0 Experience doesn't bring much unique information to the model, once you include age and education, which x will cause Var(m) to be relatively large. 0 Adding more variables to the model will cause the summation 23(ng ij)2 in the denominator of the A variance to get bigger, so the overall Var(m) will be relativer small. Question 2 1 pts Which syntax is the accurate syntax for estimating the model described in the previous question if the dataframe "MyDF" includes wage (wage), age (age), education (educ), and experience (exper)? O RegRes