![]() ![]() The factors that affect the dependent variable and predict their value are the independent variables.īefore performing Regression Analysis in Excel, make sure you have Data Analysis ToolPak in the Data tab in the analysis section. Thus, the factor that you try to understand or predict is the dependent variable and its value changes with respect to the value of the independent variable. The dependent variable is the predictor variable, and the independent variable is also known as the explanatory variable. ![]() You can say that dependent and independent variables are the two prominent essential terms of Regression Analysis. The variable you describe is the dependent variable, and the variable that predicts the value of the dependent variable is the independent variable. Speaking of simple linear regression, the value of one variable is utilized for describing the value of another. The constructed equation has a coefficient representing the relationship between dependent and independent variables. To describe Regression Analysis more specifically, it estimates the relationship between the dependent and independent variables by producing an equation. To access the Regression Analysis feature in Excel, you must first add Data Analysis ToolPak add-in to the excel. You can find the Regression Analysis option in the Data tab. You don’t have to start the analysis from scratch specifically, and Excel has an inbuilt method to calculate the regression. You can now perform Regression Analysis in Excel, which is very straightforward. It is the analysis through which you can determine the relationship between the multiple variables. Regression Analysis comes from the Statistical modeling concept. ![]()
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