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19. Let X has the exponential distribution with parameter B. That is, suppose that X has density f(x) = Be. Suppose we wish to test the null hypothesis that the parameter is greater than or equal to 1, versus the alternative that the parameter is less than 1. Consider the test procedure that rejects if X is greater than or equal to 1. Compute the size of the test. 20. Suppose that least squares was used to fit a model Y= B. + B,X to some predictor- outcome pairs, and then that least squares was used to fit a model Y= Bo + B.X+ B.X'. In which case would the sum of squared deviations between the observed and fitted values be smaller. Explain