Response 1.) Deborah

Regression analysis is a powerful statistical method that allows you to examine the relationship between two or more variables of interest. Regression analysis is used to predict the value of a dependent variable based on the value of at least one independent variable. The dependent variable is the main factor that you’re trying to understand or predict. The independent variables are the factors that you hypothesize have an impact on your dependent variable.

For Example, medical researchers often use linear regression to understand the relationship between drug dosage and blood pressure of patients. Linear regression is one of the most commonly used techniques in statistics. It is used to quantify the relationship between one or more predictor variables and a response variable. Researchers administer various dosages of a certain drug to patients and observe how their blood pressure responds. They might fit a simple linear regression model using dosage as the predictor variable and blood pressure as the response variable.

Reference:

Alchemer. What is Regression Analysis and Why Should I Use It?

Levine, D. M., Stephan, D. F., K. A. (2021). Statistics for managers using Microsoft Excel (9th ed.). Pearson.

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