The SSR indicates how much of the total variability in the dependent variable is explained by the regression model.
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Q4: The coefficient of determination gives the proportion
Q5: The correlation coefficient has values between −1
Q8: The regression line minimizes the sum of
Q10: An F-test is used to determine if
Q14: The SSE measures the total variability in
Q15: The variable to be predicted is the
Q17: In regression, there is random error that
Q18: In regression, an independent variable is sometimes
Q20: A scatter diagram is a graphical depiction
Q22: The errors in a regression model are
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