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An exam review for sta 2023, focusing on topics related to scatterplots, regression analysis, and identifying outliers. Students are advised to review lecture notes, quizzes, homework, and chapters 7-9 of their textbook, as well as their project. The exam will include questions on creating scatterplots, understanding correlation conditions, calculating regression equations, interpreting residual plots, and identifying outliers and influential points.
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STA 2023 – Exam 3 Review
The following topics will be focuses of the upcoming exam. You should read and review all lecture notes, quizzes, homework, and chapters 7-9 of the text. Your project will also be an excellent source for exam review.
Chapter 7 Create scatterplot Describe direction, form, and scatter of a scatterplot Understand the correlation conditions
Chapter 8 Calculate regression equation and write with meaningful variable names Calculate R^2 Calculate predicted values Calculate residuals Create and interpret residual plot
Chapter 9 Understand and perform interpolation and extrapolation Identify outliers Identify model outliers Identify points with high leverage Identify influential points
Project On the exam, you will be given a set of data asked to repeat all steps and questions from the project.
Optional Review Problems (pages 204-213) 1, 2, 9, 16, 17, 19