You want to build a model to predict the likelihood of a customer clicking on an online advertisement. You have historical data in BigQuery that includes features such as user demographic, ad placement, and previous click behavior. After training the model, you want to generate predictions on new data. Which model type should you use in BigQuery ML?

A. Linear regression B. Matrix factorization C. Logistic regression D. K-means clustering