(Solution) Math225 Week 8 Discussion: Correlation and Regression

Read/review the following resources for this activity:

  • Textbook: Chapter 13
  • Lesson
  • Minimum of 1 scholarly source

In your reference for this assignment, be sure to include both your text/class materials AND your outside reading(s).

Initial Post Instructions

If a regression analysis was to be completed on body mass index (BMI), what could be an independent variable in that analysis? Why? If we could, what other independent variables should be included in the analysis? What statistic(s) would show the value of that regression in understanding BMI?

Alternatively, find an article that uses regression analysis to study a medical concern. In that study, what was the dependent variable and what were the independent variable(s)? Further, how would you use this study to highlight the difference between correlations and causation?

Follow-Up Post Instructions

Respond to at least two peers or one peer and the instructor. Further the dialogue by providing more information and clarification.

Writing Requirements

  • Minimum of 3 posts (1 initial & 2 follow-up)
  • APA format for in-text citations and list of references


This activity will be graded using the Discussion Grading Rubric. Please review the following link:

Course Outcomes (CO): 7

Due Date for Initial Post: By 11:59 p.m. MT on Wednesday

Due Date for Follow-Up Posts: By 11:59 p.m. MT on Sunday


According to Holmes, Illowsky, and Dean (2019), scholars and researchers use regression analysis in assign the correlation between variables. This statistic can be used to assess for a correlation between variables and also predict. There are various types of regression analysis models, which include lasso, linear, polynomial, and ridge regression, among others (Darlington & Hayes, 2016). In class, we have explored linear regression, which uses a linear equation and only one dependent variable. The course book defines this equation as a “statement of cause and effect” (Holmes, Illowsky, & Dean,2019). With it, you can assess the hypothesized effect of the independent variable on the dependent variable….Please click here to download at $5