how would i answer this

- Regression: A movie company wants to predict the opening weekend box office of its upcoming new movies. - Classification: The admission office of a university tries to predict whether a student will accept the offer. - Association rule mining: A business school wants to find out which courses offered in the summer quarter are often taken together by students so as to adjust the course scheduling for higher enrollment. - Clustering: Seattle PD wants to identify groups of criminals in the region for police patrol assignments. Now, for each of these problems, can you think of any related text data we could harness and potentially help to tackle the problem? Why and how? Type your short answer in the text box