Part I Instructions: Suppose we are interested in studying the per capita educational expenses (in
dollars) of the 50 US states and Washington, D.C. We know that these expenses are likely
related to the per capita income of a state. Using the Anscombe dataframe contained in the
carData package, and assuming the educational expenses are being predicted by income, please
do the following:
Report the fitted model, the omnibus p-value, and R2 (make sure you contextually interpret R2 ).
Is our SLR significant? Contextually interpret ^1 (i.e., what does the value itself mean?)..
Part I Instructions Suppose we are interested in studying the per .pdf
1. Part I Instructions: Suppose we are interested in studying the per capita educational expenses (in
dollars) of the 50 US states and Washington, D.C. We know that these expenses are likely
related to the per capita income of a state. Using the Anscombe dataframe contained in the
carData package, and assuming the educational expenses are being predicted by income, please
do the following:
Report the fitted model, the omnibus p-value, and R2 (make sure you contextually interpret R2 ).
Is our SLR significant? Contextually interpret ^1 (i.e., what does the value itself mean?).
