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03 0.5 Points In any regression model,p denotes the number of explanatory variables in the model. In simple linear regression (SLR).p = 1. 0 True

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03 0.5 Points In any regression model,p denotes the number of explanatory variables in the model. In simple linear regression (SLR).p = 1. 0 True 0 False Q5 0.5 Points When testing whether the slope of a explanatory variable is 0 or not in context of multiple regression, what distribution is used to determine the p-value? standard normal distribution O t distribution with n - 1 degrees of freedom O t distribution with n - 2 degrees of freedom O t distribution with n - p - 1 degrees of freedom Save Answer Q6 0.5 Points When testing a multiple linear regression model, which of the following tests have been described in this class and are commonly performed? test for an individual slope test for the variance of the errors test for the overall model test for the accuracy of predictions07 0.5 Points In multiple regression, there is always a single residual plot which can help you verify all model assumptions. 0 True 0 False Save Answer 08 0.5 Points If a variable is not signicant in a multiple regression model, it will also not be signicant in a simple regression model. 0 True 0 False Save Answer 09 0.5 Points When the errors show a non-random pattern in a residual plot, that means that your model probably is not appropriate for linear regression. 0 True 0 False

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