Suppose in a scatterplot matrix, you observe that all of the scatterplots associated with the explanatory variables show a strong linear relationship. There are three explanatory variables in the model. Of the following, which is the most valid to do?  Remove the response variable. Remove only one of the explanatory variables and keep only two.   Remove all of the explanatory variables because they are linearly related to each other and therefore explain the same thing. Remove exactly two of the explanatory variables because they are all linearly related to each other and therefore explain the same thing. We only need to keep one in the model.

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Q: The Simple Linear Regression model is       Y = b0 + b1*X1 + u

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