The best example of a null hypothesis for a global test of a multiple regression model is _________. A) H₀: β₁ = β₂ = β₃ = β₄ = 0 B) H₀: µ₁ = µ₂ = µ₃ = µ₄ = 0 C) H₀: β₁ = 0 D) If F is greater than 20.00, then reject

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Option A is the best example of a null hypothesis for a global test of a multiple regression model. It is a hypothesis where all regression coefficients (β) for the independent variables are set to zero, which means that none of the independent variables has a significant impact on the dependent variable. This is the standard null hypothesis for a regression model. Option B is an example of a null hypothesis for a mean comparison test, not a regression model. Option C is a null hypothesis for testing the significance of a single independent variable, not the model as a whole. Option D is not a valid null hypothesis as it does not clearly state the parameters being tested.

The Best Example of a Null Hypothesis for a Global