These variables are also known as predictor variables, input variables, and are commonly denoted using Xs. However, in observational studies, the values of the independent variables are not set by researchers but observed instead. In randomized controlled experiments, researchers systematically set and change the values of the independent variables. Independent variables are the variables you include in the model to explain or predict changes in the dependent variable. ![]() ![]() In Excel, these variables must be next to each other so you can choose them all in one range. Under Input X Range, select the range for your independent variable(s).Traditionally, analysts graph dependent variables on the vertical Y-axis. It’s also known as the response variable, outcome variable, and it is commonly denoted using a Y. The values of this variable depend on other variables. The dependent variable is a variable that you want to explain or predict using the model. Under Input Y Range, select the range for your dependent variable.Step-by-Step Instructions for Filling In Excel’s Regression Box For more details about this process, read my post about Specifying the Correct Regression Model. Specifying the correct model is an iterative process where you fit a model, check the results, and possibly modify it.
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