Each year, the american academy of motion picture arts and sciences recognizes excellence in the film industry by honoring directors, actors, and writers with awards (called "oscars") in different categories. the most notable of these awards is the oscar for best picture. the data worksheet in the datafile oscars contains data on a sample of movies nominated for the best picture oscar. the variables include total number of oscar nominations across all award categories, number of golden globe awards won (the golden globe award show precedes the academy awards), whether or not the movie is a comedy, and whether or not the movie won the best picture oscar award. there is also a variable called chronopartition that specifies how to partition the data into training, validation, and test sets. the value "t" identifies observations that belong to the training set, the value "v" identifies observations that belong to the validation set, and the value "s" identifies observations that belong to the test set. create a standard partition of the data containing all the variables (except the partition variable chronopartition) using xlminer's standard partition routine by selecting use partition variable in the partitioning options area and specifying the variable chronopartition. construct a logistic regression model to classify winners of the best picture oscar. use winner as the output variable and oscarnominations, goldenglobewins, and comedy as input variables. perform variable selection with the best subsets procedure with the number of best subsets equal to 2. generate a detailed report for the training and validation sets.

a) from the generated set of logistic regression models, use mallow's cp statistic to identify a pair of candidate models. then evaluate these candidate models based on their classification error on the validation set. recommend a final model and express the model as a mathematical equation relating the output variable to the input variables.
if required, round your answers to two decimal places. for subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (example: -300)
log odds of winning = + *oscarnominations + *goldenglobewins

(b)
using the default cutoff value of 0.5, what is the sensitivity of the logistic regression model on the validation set? if required, round your answer to one decimal place. answer in %

%