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Y is the dependent variable in the formula which one is trying to predict what will be the future value if X, an independent variable, change by a certain value. Linear analysis is one type of regression analysis. Regression analysis, as mentioned earlier, is majorly used to find equations that will fit the data. The formula for intercept “a” and the slope “b” can be calculated per below.

X – is the independent (explanatory) variable.You are free to use this image on your website, templates etc, Please provide us with an attribution link How to Provide Attribution? Article Link to be Hyperlinked read more is a powerful tool as it is used to assess the strength of the relationship between two or more variables, and then it would be used for modeling the relationship between those variables in the future.

It is widely used in investing & financing sectors to improve the products & services further. Regression Regression Regression Analysis is a statistical approach for evaluating the relationship between 1 dependent variable & 1 or more independent variables. Regression analysis widely used statistical methods to estimate the relationships between one or more independent variables and dependent variables. Regression formula is used to assess the relationship between dependent and independent variable and find out how it affects the dependent variable on the change of independent variable and represented by equation Y is equal to aX plus b where Y is the dependent variable, a is the slope of regression equation, x is the independent variable and b is constant.