Project Description:

there are four potential limitations in using variable screening methods to determine a final regression model:

1. high probabilities of type i and type ii errors.
2. no higher-order terms or interactions.
3. nonsensical terms in the model.
4. important independent variables omitted that interact with other xs.

could you explain simple linear regression, multiple regression, and stepwise regression in the context of one of the four limitations listed above and explain the differences between the models, as well as the risks involved in the regression selection process?

thank you, and please let me know your asking price.
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Price Type: Negotiable

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