Analysis of regression refers to a set of mathematical procedures that can estimate the relationships between variables. This technique examines and models several variables when the main attention is on the association among one or more independent variables and a dependent variable (Holmes et al., 2017). According to Holmes et al. (2017), regression analysis can facilitate estimation of the level of the effect of transformation in one variable to a different one. Regression can successfully be used as a tool in health care matters when checking into issues like Body Mass Index (BMI). Regression analysis concerning BMI will address weight and height as the independent variables, and that is how BMI is calculated (Holmes et al., 2017). This is because when someone ages, the fats in the body are usually greater than that of a younger person.
Furthermore, the female body has more body fat compared to males. Several independent variables that can be incorporated for the analysis are age, physical activity, culture, or build of the body. Getting to know regression value in detail through BMI is through the extent of physical activeness. The more someone is getting physically active, the lesser the BMI (Holmes et al., 2017). This signifies the reduction of body fats when one is involved in different activities.
Delegate your assignment to our experts and they will do the rest.
Concerning regression analysis, the article that I was interesting was discussing the relationship among cognitive weakness to depression as well as a glycemic regulator in people who have type 2 diabetes. Some other independent variables, comorbidities, age, health history, alcohol usage, smoking history, gender, etc., were unprotected and analyzed as possible causative aspects or associations. In that study composed in the article, the type 2 diabetic patience was the dependent variable. Also, in the article, the concluding multivariate regression method, 44 percent of the difference in HbA1c standards could be clarified by the preferred variables (Li, 2018).
References
Holmes, A. Dean, S., & Illowsky, B. (2017). Introduction to Business Statistics. The University of Oklahoma. Ed. 1, 173-181. https://www.opentax.org
Li, X., Ma, Y., Zhao, D. & Sun, S. (2018). Relationship between Cognitive Vulnerability to Depression. Health, Psychology, and Medicine, 23 (3), 188-198. Doi: 10.1080/13548506.2017.1339894
