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drug.csv

The "drug.csv" dataset includes data from a survey that collected information from N students in their final year of high school, about substance use including alcohol, cigarettes and marijuana.

The dataset includes the following variables:

Some people prefer alcohol to smoking and vice versa, other like to do both, while a portion of individuals in the study just reported marijuana use. How does the level of marijuana consumption relate to alcohol and cigarette use choices?

NOTES:

1. Perform a comprehensive statistical analysis to answer each question.
2. Use appropriate GLMs to answer the research questions.
3. Clearly describe the statistical methods you implement, and explain the choices of the final models that you used to answer the research questions.
4. Explore your data carefully, paying attention to the observed patterns and any missing values.
5. State the form of the final models that you will use to answer the research questions. 6) Summarize model outputs in self-explanatory tables and figures.

7. Interpret carefully the results from your analyses and clearly state the final conclusions.
8. Comment on advantages and potential limitations of your analyses.
9. Take into consideration all the information collected with this study (all variables in the dataset).
10. These are open-ended questions. There is no restriction to the GLM you'll choose or the number and type of covariates that you will include in the model to answer each question, as long as the models are appropriate, meaningful, and can address the particular questions.