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APA
Subject:
Mathematics & Economics
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English (U.S.)
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Correlation and Regression Mathematics & Economics Coursework

Coursework Instructions:

Week 8 Discussion: Correlation and Regression




Required Resources




Read/review the following resources for this activity:





  • Textbook: Chapter 13

  • Holmes, A., Illowsky, B., & Dean, S. (2017). Introductory business statistics. OpenStax. https://openstax.org/details/books/introductory-business-statistics

    • 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?



Coursework Sample Content Preview:

Correlation & Regression
Student’s Name:
Institutional Affiliation
Regression Analysis
In the likely completed regression analysis concerning a body mass index here referred BMI; independent variable can be deduced as the level of activity. Level of activity running up to certain duration is critical data due to direct impact it has on the control of weight and consequently the BMI. Just to give an elaboration, an individual leading an inactive form of lifestyle is expected to exhibit a higher index that if he exercised regularly or if compared to another person who is more active. In this analysis, we can include diet to represent an extra variable that is independent (Schroeder, Sjoquist & Stephan, 2016). It is evident that the correlation occurring between independent and dependent variables has a coefficient that proves a traceable interlink between the two kinds of variables.
Medical Concern in Regression Analysi...
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