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We need to predict the required number of salesmen for all 11 cases to get the 12th closest prediction. The “Simple” Math of Linear Regression Equation: If we want to know how many soft drinks will be sold if we appoint 200 salesmen, then the scenario will be vice-versa. In our case, soft drinks are sold x and the number of salesmen is y. The independent variable is mostly denoted as x and dependent variable as y. So here, the dependent variable is the number of salesmen and the independent variable is sold soft drinks. You want to know the number of salesmen required to achieve 2000 sales. Now let’s compare this with your scenario. And the independent variable is often pronounced as a Driving, Predictor or simply Independent variable.
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The dependent variable is often called by names such as Driven, Response, and Target variable. Where one variable depends on the other independent variable. The study of the relationship between two variables is called Simple Linear Regression. This part will make you understand regression better than just telling excel regression procedure. REGRESSION ANALYSIS USING EXCEL FUNCTIONS (MANUAL REGRESSION FINDING) To do so, we need to know Regression first. The regression equation is a tool to make such close estimates. Now based on this data you want to predict the number of salesmen required to achieve 2000 sales of soft drinks. You have 11 records of salesmen and soft drinks sold.