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I. True/False/Uneertain - Briey explain. No credit without an explanation (8 marks each). 1. With 10-fold cross validation, 10% of the sample data. are never
I. True/False/Uneertain - Briey explain. No credit without an explanation (8 marks each). 1. With 10-fold cross validation, 10% of the sample data. are never used to estimate the model, just to estimate the 'I'MSE. 2. TMSE with cross-validation is always decreasing when adding more Xs, so it is not a. good estimator for GMSE. 3. Using the bootstrap procedure for model averaging, every observation of the origins] sample will be selected at least once. 4. One can use the A10 and BIG to test the hypothesis Ho : g, 2 0 in a legit model. 5. The slope of the probit model is maximized when X=0
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