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    Violating Linear Regression assumptions

    I have a dataset in which I am performing linear regression with multiple covariates. The goal of the analysis is to identify important covariates (categorical and continuous) which have an important effect on the response. This is a natural resource dataset so it is not as clean cut as other...
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    Linear Regression with effect size changes of categorical variables with continuous

    I have three categorical variables (disked, herbicide, Lands) each is binomial (0,1). For example, within disked there is a group in which it does not occur (0) and where it did occur (1). I am performing a forward stepwise-approach in which I evaluate each categorical variables in the order...