STA Exam 3 Review: Scatterplots, Regression, and Outliers, Exams of Data Analysis & Statistical Methods

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.

Typology: Exams

Pre 2010

Uploaded on 08/03/2009

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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 R2
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

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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