Which assumption(s) involved in simple linear regression can be assessed by examining the residual plot (e_i vs. X_i)? A) Independence B) Homogeneity C) Linearity D) All of the above

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The residual plot in simple linear regression is used to assess several assumptions, including independence (by checking for patterns that suggest a relationship between residuals), homogeneity (or homoscedasticity, by checking if the residuals have constant variance across different values of the independent variable), and linearity (by checking if the residuals are randomly dispersed around the horizontal axis, indicating a linear relationship between the independent and dependent variables).

Which Assumption(s) Involved in Simple Linear Regression Can Be Assessed