9.11 Movie lovers, Part I. Suppose a social scientist is interested in studying what makes audiences love or hate a movie. She collects a random sample of movies (genre, length, cast, director, budget, etc.) as well as a measure of the success of the movie (score on a film review aggregator website). If as part of her research she is interested in finding out which variables are significant predictors of movie success, what type of model selection method should she use?

The social scientist has one of two options, she can either use R² adjusted or the p-value approach. R² adjusted is mainly used when you want a model that relies on prediction accuracy and improving prediction accuracy. P-value approach is mainly used when you want a simple model that instead of prediction accuracy relies on how statistically significant each variable predicts the outcome you are looking for. Since it is stated above that the social scientist is interested in finding out which variables are significant predictors of movie success, she would want to use the p-value approach.