Regress smoker on cubic polynomials of age, using a linear probability model. Choose the wrong statement about what the estimates suggest. O a. 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%. O 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. Oe. The small adjusted R2 (~ 0.001) suggests that the estimates suffer omitted variable bias.

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Chapter1: Making Economics Decisions
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QUESTION 2
Regress smoker on cubic polynomials of age, using a linear probability model. Choose the wrong statement about what the estimates suggest.
O a. 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%.
O 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.
O e.
The small adjusted R (- 0.001) suggests that the estimates suffer omitted variable bias.
Transcribed Image Text:QUESTION 2 Regress smoker on cubic polynomials of age, using a linear probability model. Choose the wrong statement about what the estimates suggest. O a. 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%. O 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. O e. The small adjusted R (- 0.001) suggests that the estimates suffer omitted variable bias.
FURTHER INFORMATION ABOUT R-EXERCISE 5:
Data and Packages:
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 "stata".
For the questions below, it is assumed that the required R-packages are loaded and the data are attached.
Transcribed Image Text:FURTHER INFORMATION ABOUT R-EXERCISE 5: Data and Packages: 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 "stata". For the questions below, it is assumed that the required R-packages are loaded and the data are attached.
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