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Can you help with this Statistics problem? Last week's discussion involved development of a multiple regression model that used miles per gallon as a response
Can you help with this Statistics problem?
Last week's discussion involved development of a multiple regression model that used miles per gallon as a response variable. Weight and horsepower were predictor variables. You performed an overall F-test to evaluate the significance of your model. This week, you will evaluate the significance of individual predictors. You will use output of Python script (below) from Module Six to perform individual t-tests for each predictor variable.
- What is the purpose of performing individual t-tests after carrying out the overall F-test? What are the differences in the interpretation of the two tests?
- What is the coefficient of determination of your multiple regression model? Provide appropriate interpretation of this statistic.
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