Remember this is just a hypothetical example. If you are analyzing time series data, you need to meet all the formalities of checking unit root testing, Cointegration, VECM and VAR etc. before checking the validity of the models. I have not included how to check Stationarity, leg selection, etc in this video. You can watch my other videos for such details on VAR, Co-Integration, VECM, and Stationarity checking.
Remember this is just a hypothetical example. If you are analyzing time series data, you need to meet all the formalities of checking unit root testing, Cointegration, VECM and VAR etc. before checking the validity of the models. I have not included how to check Stationarity, leg selection, etc in this video. You can watch my other videos for such details on VAR, Co-Integration, VECM, and Stationarity checking.
I seek apology for the spelling mistake. Its Diagnostic not Diadonastics.
Very well dome
Thanks I try to help out students
hard to understand :(