1. Build code to calculate bootstrap confidencebounds for an mpg prediction on one of the cars listed in the AUTO data only with the weight cut in half.
This bound includes model selection across many models including quadratic models.
Submit the code, the vector for the car used in your prediction, the bootstrap bound and the normal theory bound using the best model you predicted.
codePPT Class March 21
2. Convert instructions on veiw graphs for finding FDR into function to identify interesting hypothesis
Submit code and graph based on testing against a set of 5000 numbers uniformly selected from 0,0.15, testing at Q=0.05
ppt class march 24 4 how do we do it
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