What is the linear regression anomaly that occurs when one observation in the target variable has a value much higher or lower than the other observations? O Multicollinearity Non-linearity Heteroskedasitcity O High leverage point O Outlier Suppose you have a dataset on which you want to perform classification. For the purpose of the analysis you are conducting, it is very important to understand which variable has the most significant impact on the predicted class. Which model would you fit this data to? O Decision Tree O SVM Logistic Regression Suppose you have a dataset of customers using an online e- commerce platform. You wish to discover groups and patterns among the users. Which unsupervised learning method would you use to do that? K-means clustering O Principal Component analysis