The dependent variable is a variable that you want to explain or predict using the model. The values of this variable depend on other variables. It’s also known as the response variable, outcome variable, and it is commonly denoted using a Y. Under Input X Range, select the range for your independent variable(s).Traditionally, analysts graph dependent variables on the vertical Y-axis. In Excel, these variables must be next to each other so you can choose them all in one range.
Independent variables are the variables you include in the model to explain or predict changes in the dependent variable. In randomized controlled experiments, researchers systematically set and change the values of the independent variables. However, in observational studies, the values of the independent variables are not set by researchers but observed instead. These variables are also known as predictor variables, input variables, and are commonly denoted using Xs. Check the Labels checkbox if you have meaningful variable names in row 1.On graphs, analysts place independent variables on the horizontal X-axis. Check the Constant is Zero if you want to force the regression line through the origin.This option makes the output easier to interpret. Check Residual Plots to display the values of the residuals and graph them.įor this example, your popup should look like the following.Check Confidence Level if you want to display confidence intervals for the coefficient estimates.Do not check this box unless you’re absolutely sure you know what you’re doing! For more information, read my post about the regression constant. Interpreting Excel’s Regression Analysis ResultsĪfter Excel creates the statistical output, I autofit some of the columns for clarity. We’ll work our way down from the top of Excel’s regression analysis output.
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