I. True/False/Uncertain - 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/Uncertain - 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 model1 just to estimate the TMSE. 2. TMSE with crcm-validathn is always decreasing when adding more Ks. so it is not a good estimator for GMSE. 3. Using the bootstrap procedure for madel averaging. every observation of the original sample will be selected at least once. 4. To perform the LM test. onl},r the restricted model has to be estimated. 5. The slope of the prohit model is maximized when X=0
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