given a logistic regression with one predictor value (x) and a coefficient for x of B1 = -1, we would say a one unit increase in x decreases the odds of the event occurring by 1%; a unit increase in x decreases the probability of the event occurring by 1%; a one unit increase in x increases the probability of the event occurring by 36.8%; a one unit increase in x increases the odds of the event occurring by 36.5%; or none of the abovefor questions 8 through 11, consider the set of 5 data points written as (x,y) where x is a realization of the independent (predictor) variable and y is the matching realization of the dependent (response( variable. (1,2), (2,4), (3,3), (4,1), (5,5). If we are using a decision tree (as defined in the text) to analyze this data what is the prediction of the null mode? if the data set is split into two pieces labeling the first two points as "left" and the remaining 3 points as "right" what is the total deviance of the resulting model? if the data set is split into two pieces as described in question 9 and a value for x