If a regression equation shows that no individual t-tests are significant, but the F-statistic is significant, the regression probably exhibits: A. multicollinearity. B. heteroskedasticity. C. serial correlation.
Common indicators of multicollinearity include: high correlation (>0.7) between independent variables, no individual t-tests are significant but the F-statistic is, and signs on the coefficients that are opposite of what is expected
