Question 2

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 2 Regress smoker on cubic polynomials of age, using a linear probability model. Choose the wrong statement about what the estimates suggest. 3. 20 year old individuals would smoke with the probability of 25.33% and 25 year old people would do so with the probability of 25.25%. O b. 30 year old individuals would smoke with the probability of 25.17% and 35 year old people would do so with the probability of 25.02%. C. 40 year old individuals would smoke with the probability of 24.75% and 45 year old people would do so with the probability of 24.28%. O d. The smoking probability depends on age. The small adjusted R (~ 0.001) suggests that the estimates suffer omitted variable bias