Regression Analysis Definition. The most common form of regression analysis is linear regression in which a researcher finds the line that most closely fits the data according to a specific mathematical criterion. Regression analysis is a statistical measure that we use in investing finance sales marketing science mathematics etc.
In statistical modeling regression analysis is a set of statistical processes for estimating the relationships between a dependent variable and one or more independent variables. For example the method of ordinary least squares computes the unique line that minimizes the sum of squared differences between the true. The analysis or measure of the association between one variable the dependent variable and one or more other variables the independent variables usually formulated in an equation in which the independent variables have parametric coefficients which may enable future values of the dependent variable to be predicted as modifer regression curve.
Regression analysis is a set of statistical methods used for the estimation of relationships between a dependent variable and one or more independent variables.
The regression analysis is a statistical tool used to determine the probable change in one variable for the given amount of change in another. Regression is a statistical method used in finance investing and other disciplines that attempts to determine the strength and character of the relationship between one dependent variable. This means the value of the unknown variable can be estimated from the known value of another variable. In simple terms regression analysis is a quantitative method used to test the nature of relationships between a dependent variable and one or more independent variables.
