# Doc X

Topics: Regression analysis, Statistics, Econometrics Pages: 2 (728 words) Published: September 16, 2014
Study Guide for Exam IV
Econ 302/BUS 302
The exam is similar in length and form to the previous 3 exams. Bring a tall, green skinny scantron to the exam, a calculator, and a pencil. Scratch paper will be provided, if needed. You will be provided with a copy of the t-distribution on page 920 in the text, and the F-distribution on page 925. The formulas for the full F test statistic and the partial F test statistic will be given on the exam. All other formulas you will be expected to know (excluding the adjusted R2).

Exam will cover chapter 16 and anything on multiple regression. It is assumed that past material, such as population model, regression equation, estimated regression equation, error term, population parameters, etc. are already known.

Previous Information – Know these concepts from the last exam • Population model, regression equation, estimated regression equation, error term, population parameters
• When regressors are added to the model, what happens to the SSE, SSR, or SST? What happens to the R2? What is the adjusted R2 and why is it necessary? The formula for the R2adj will be on the exam. How do you interpret the adjusted R2?

• What is a quadratic term? When should you add a quadratic term to the model? Know how to interpret the estimated coefficients to a quadratic term.
• What is an interaction term? When should you add an interactive term to the model? Know how to interpret the estimated coefficients to an interactive term. • What are dummy variables? When should you add them to the model? Make sure you know how to add qualitative data to a regression, such as we did with Gender or Hospital Location. How do interpret the estimated slope coefficients to Dummy Variables? Be able to find the different population models for different values of the qualitative data. • You should know how to do individual significance test and a Full F-test. • What is multicollinearity? What does it cause?

• Be able to take results from a regression in...