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This Concept Map, created with IHMC CmapTools, has information related to: Diagnostic tests, Irrelevant variables that are not significant can be a symptom of Multicollinearity, Randomness of error term can be violated due to Heteroscedasticity, Randomness of error term can be violated due to Autocorrelation, Diagnostic tests check for Randomness of error term, Diagnostic tests check for Misspecification, Autocorrelation is checked with The Durbin-Watson test, Autocorrelation is checked with The h-test, Heteroscedasticity is checked with The Breusch-Pagan test, Misspecification can be detected through lack of Randomness of error term, Statistical significance is checked with The t-test, Statistical significance is checked with The F-test, Heteroscedasticity is checked with The Goldfeld-Quandt test, Diagnostic tests check for Statistical significance, The F-test allows to verify Linear restrictions, Misspecification can be caused by incorrect Functional form, Randomness of error term can be checked with Chi-square tests, Misspecification can be caused by Irrelevant variables, Randomness of error term can be checked with The Runs test