Consider the following simple linear regression model: .The explanatory variable is: A)y B)x C)ε D)β₀

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In a simple linear regression model, there is only one explanatory variable, and it is typically denoted as "x." Therefore, the best choice for the explanatory variable in this model is "x" (option B). Option A, "y," is the response or dependent variable. Option C, "ε," refers to the error term, which represents the randomness or variation in the response variable that is not explained by the explanatory variable. Option D includes symbols that are not part of the regression model.

Consider the Following Simple Linear Regression Model