Question

1. Consider an actual proof problem

2. The problem should estimate one multiple linear regression, or a logistic regression. Explain the estimation.

3. Consider a different model from step 2. You can try adding other random variables to explain your model, or consider different ways to explain (For example: probit model, lasso, trees, random forest, gradient boosting, or neural net). Then, compare the estimation results of the original model and the new model.

ps. If you answer the question with programming language, please use R to finish it, thank you!

Answer 1

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