Read about simple linear regression:

Field, A. (2018). Discovering statistics using IBM SPSS: North American edition (5th ed.). Sage.
Chapter 9, pages 369–436, describes the basics of regression analysis.
The 7864 Course Study Guide [PDF] highlights content to focus on as you read and absorb the materials. You may also find some additional articles with direct relevance to your field here.
Psychology learners: in addition to the other required study activities for this unit, psychology learners are also required to read the following resources:

Crawford, J. T., Jussim, L., & Pilanski, J. M. (2014). How (not) to interpret and report the main effects and interactions in multiple regression: Why Crawford and Polanski did not actually replicate Linder and Nosek (2009). Political Psychology, 35(6), 857–862.
Fang, Z., Xu, X., Grant, L. W., Stronge, J. H., Ward, T. J. (2016). National culture, creativity, and productivity: What’s the relationship with student achievement? Creativity Research Journal, 28(4), 395–406.
Makansi, J. (2019). Taking multiple regression analysis to task: A review of Mindware: Tools for smart thinking, by Richard Nisbett (2015). Advancing Education in Quantitative Literacy, 12(2), 1–4.
The final test you will study is regression. Regression is similar to correlation, but it goes beyond simply identifying relationships between variables and instead allows you to predict outcomes of interest.

This week’s work provides context for an upcoming assignment on regression in Week 10, in which you’ll get a chance to use SPSS again. Doing anything for the first time takes a little longer. If you are new to SPSS or regression, it’s a good idea to get a head start. Completing the assignment may take more time than you think. Consider starting your data analysis. Please let your instructor know if you have any problems or questions about SPSS. Remember, next week is a short week—the class ends on Friday!

The following resources may be helpful:

DAA Template [DOC]
IBM SPSS Step-by-Step Guide: Simple Linear Regression [DOC].

After completing this week’s readings, take the quiz to test your understanding of regression. Please carefully read the following instructions before beginning the quiz:

You must complete and submit the quiz by Sunday at 11:59 p.m. Central Time.
You may take the quiz three times. Do not open and close the quiz to return to it later as this will end the quiz session.
This quiz is not timed, but once you submit the quiz, you may not go back and change any of your responses.
Your score is automatically recorded in the instructor’s grade book upon completion of the quiz.
Your score and the correct answers will be accessible to you after you have completed the quiz and your score is recorded.
This quiz is worth 3 percent of your overall grade for the course. There are 5 questions worth 20 points each for a total of 100 possible points.
To begin, click the linked quiz title to access the quiz. If you have any issues with the quiz, contact your instructor