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(e) Suppose that we reject the null hypothesis, what does that imply about OLS estimatron of the regression equation of ve? (

630 pts) Suppose & is the residual of the following regression (a) If we are also running the regression what OLS assumption

(e) Suppose that we reject the null hypothesis, what does that imply about OLS estimatron of the regression equation of ve? (Hint: does this problem affect unbiasedness or c ciency of OLS estimators?) (d) (10 pts bonus) Solve the problem by completely specifying the regression model.
630 pts) Suppose & is the residual of the following regression (a) If we are also running the regression what OLS assumption of time series data we suspect is violated (what time series prob- lem do we intent to test)? y the null hypothesis (b) How do we conduct a test for the issue in part (a)? Clearly specif and the test statistic you would use
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Solution:- Giivvem that on mutt γ ot be ca ulated Autocanelation is cmon phlem m -time a nandom Ha model2 Thank you

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