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Linear Regression by Least Squares

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Statistical Analysis and Data Display

Part of the book series: Springer Texts in Statistics ((STS))

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Abstract

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.

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© 2004 Springer Science+Business Media New York

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Heiberger, R.M., Holland, B. (2004). Linear Regression by Least Squares. In: Statistical Analysis and Data Display. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-4284-8_8

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  • DOI: https://doi.org/10.1007/978-1-4757-4284-8_8

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-2320-2

  • Online ISBN: 978-1-4757-4284-8

  • eBook Packages: Springer Book Archive

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