When developing a simple regression model one utilizes a method to predict a linear relationship between a dependent variable and an independent variable. However, there may be more than one independent variable that affect the dependent variable. In this case we utilize the multiple regression method. Review the following videos:
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Describe the objective in using simple and or multiple regression models.
What does the ANOVA (analysis of variance) table demonstrate?
Define the coefficient of determination (r-square) and interpret its results (i.e. weak or strong relationship).
How do we determine whether our model determines a significant relationship between our variables? Evaluate at least two methods to arrive at your conclusions.
Describe the statistical inferences one can make utilizing the results of a regression model.
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