Regression analysis is useful for determining trends in data. It indicates the relationship between dependent and independent variables. The independent variables determine the value of a dependent variable. Each independent variable can have either a strong or a weak effect on the value of the dependent variable. Linear regression uses a line in a scatterplot to show the trend. Non-linear regression uses some sort of curve to depict the relationships.

For example, there is a relationship between blood pressure and various factors such as age, salt intake, and **Body Mass Index** (**BMI**). The blood pressure can be treated as the dependent variable and the other factors as independent variables. Given a dataset containing these factors ...

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