When there is autocorrelation in time series variables, OLS regression models produce unreliable results because O the regressions are not statistically significant. the errors of the regression are not independent of each other. the values of the dependent variable are not normally distributed.

When there is autocorrelation in time series variables, OLS regression models produce unreliable results because O the regressions are not statistically significant. the errors of the regression are not independent of each other. the values of the dependent variable are not normally distributed.

College Algebra

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section: Chapter Questions

Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...

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Question

When there is autocorrelation in time series variables, OLS regression models produce unreliable results because
the regressions are not statistically significant.
the errors of the regression are not independent of each other.
the values of the dependent variable are not normally distributed.

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