Regression analysis is generally performed using quantitative data for both dependent and independent variables. It can also extend to cases where one of the variables (or both) is (are) qualitative. Due to its flexibility, it has been widely used in many different applications. In your own field(s), discuss how regression analysis might help in revealing a relationship between two (or more) variables. Describe the problem background and the variables. Also, why do you believe that a regression model is suitable?

2.

The methodologies covered in this module are very popular classification tools used in practice. Choose at least one method from the module and describe its advantages and disadvantages. In your own field(s), how would you apply the method you’ve chosen. Give details of the example.

classifications tools for R.

kNN

logistic regression

Hierarchical and k means

classification and regression tree (CART)