1. Describe what you did to prepare the data for analysis, and describe any assumptions you are making in answering the below questions. 2. Create a scatterplot comparing budget (y-axis) against title_year (x-axis). What pattern do you observe? What could explain this trend? 3. Define a movie to be a "success" if its gross revenue is at least double its budget. Create a logistic regression model to predict whether a movie will be a success, based on the number of critics, duration, actor_1 Facebook likes, director Facebook likes, budget, and year. What is the error rate on the validation set? 4. Of the given six predictors, what are the strongest three predictors of whether a movie is a success? How did you determine this? 5. Using a boosting neural network, can you reduce the error rate? If so, to what? What might be a drawback to using this type of method, compared to logistic regression