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  1. S

    The difference between R squared and adjusted R squared

    if your R squared - 0.999 and adjusted R squared = 0.998 what can you infer from this difference (lack of difference) in a multiple regression model with two variables. Would it be anything to do with multicollinearity?
  2. S

    Hypothesis:

    If you wanted your null hypothesis to be that y and x are linearly related, and your alternative to be that they are quadratic. What could you use as your null and alternative hypothesis, and how would you go about testing it?