The residuals are observations of the error variable .Consequently,the minimized sum of squared deviations is called the sum of squared error,labeled SSE.
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Q14: In a simple linear regression problem,if the
Q15: If exact multicollinearity exists,redundancy exists in the
Q16: In testing the overall fit of a
Q17: In a simple linear regression model,testing whether
Q18: In regression analysis,the total variation in the
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Q21: Heteroscedasticity means that the variability of Y
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Q23: The Durbin-Watson statistic can be used to
Q24: Another term for constant error variance is
A)homoscedasticity.
B)heteroscedasticity.
C)autocorrelation.
D)multicollinearity.
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