We usually study more than one variable at a time. When the variables are continuous, and one is clearly a response variable and the others are predictor variables, we usually plot the variables and then attempt to fit a model to the plotted points. With one continuous predictor, the first model we attempt is a straight line; with two or more continuous predictors, we attempt a plane. We plot the model, the residuals from the model, and various diagnostics of the quality of the fit.
CITATION STYLE
Heiberger, R. M., & Holland, B. (2015). Linear Regression by Least Squares (pp. 235–262). https://doi.org/10.1007/978-1-4939-2122-5_8
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