(Steps Shown) Consider a multiple linear regression model with several explanatory variables. Someone asks you for an explanation of the term "multicollinearity".
Question: Consider a multiple linear regression model with several explanatory variables. Someone asks you for an explanation of the term "multicollinearity". Provide an explanation that both gets at the statistical underpinnings of multicollinearity but in addition can also be understood by a laymen. (You can provide two separate statements if that is easier.)
Deliverable: Word Document 
(Solution Library) We fit a multiple regression model to predict a response
![[Step-by-Step] One of the assumptions necessary for](/images/solutions/MC-solution-library-76665.jpg "[Step-by-Step] One of the assumptions necessary for regression")
[Step-by-Step] One of the assumptions necessary for regression
(All Steps) Predicting the MPG. The following data were originally
(Solution Library) Peanut Butter. American shoppers have a great variety
![[See Solution] TRUE or FALSE: Identify which](/images/solutions/MC-solution-library-76668.jpg "[See Solution] TRUE or FALSE: Identify which of the following")
[See Solution] TRUE or FALSE: Identify which of the following
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