Question 1

smoking.csv file: https://docs.google.com/spreadsheets/d/1yR3qHfaTBq9e6lqbRqfmupkzJFbiffbXVOpraEr-934/edit?usp=sharing

We use the dataset "smoking.csv" that we analysed in Tutorial 09 We are interested in estimating the smoking probability as a function of age For all estimation of linear probability models, the type of standard error should be "HC1" or equivalently "slam" For the questions below, it is assumed that the required Repackages are loaded and the data are attached, QUESTION 1 Regress smoker on cubic polynomials of age, using a linear probability model. Choose the wrong statement. a. The estimated model is nonlinear in age. b. The predicted probability of smoking appears to be positive for the youngest individual in the data. C. The predicted probability of smoking appears to be negative for the oldest individual in the data. d. The fitted value of smoker is interpreted as the conditional probability of smoking given the value of age. e. Only the estimated intercept is statistically significant at the 5% level