FRM Part I · FRM Exam Part I · Regression Diagnostics
A plot of residuals against fitted values from a regression of firm-level credit spreads shows a funnel shape: residuals are tightly clustered for low fitted values and widely dispersed for high fitted values. Which is the most appropriate response?
A funnel-shaped residual plot indicates heteroskedasticity, meaning error variance changes with the fitted value. The appropriate response is to use heteroskedasticity-robust standard errors or weighted least squares. The pattern does not indicate multicollinearity or autocorrelation, so dropping the intercept or adding lags would not address it.
- AUse heteroskedasticity-robust standard errors or weighted least squares, since the pattern suggests nonconstant error varianceCorrect
- BDrop the intercept, since the funnel shape indicates perfect multicollinearity
- CAdd a lagged dependent variable, since the funnel shape indicates first-order autocorrelation
- DIgnore the pattern, since OLS coefficients are biased only when residual variance is constant
Explanation
A funnel shape in residuals versus fitted values is the classic visual sign of heteroskedasticity. Remedies are robust (White) standard errors or WLS/transformation. Multicollinearity and autocorrelation show up differently, and the last option misstates the bias condition.
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