Linear Regression

  • Linear Regression
    Linear Regression
    By David J. Olive

    Coefficient Estimates Label Estimate Std. Error Est/SE p-value Constant 8.71977 4.09466 2.130 0.0332 lower jaw -0.376256 0.115757 -3.250 0.0012 upper jaw 0.295507 0.0950855 3.108 0.0019 Number of cases: 60 Degrees of freedom: 57 Pearson ...

  • Linear Regression: A Mathematical Introduction
    Linear Regression: A Mathematical Introduction
    By Damodar N. Gujarati

    Taking the reader step-by-step through the intricacies, theory and practice of regression analysis, Damodar N. Gujarati uses a clear style that doesn’t overwhelm the reader with abstract mathematics.

  • Linear Regression: A Mathematical Introduction
    Linear Regression: A Mathematical Introduction
    By Damodar N. Gujarati

    Damodar N. Gujarati’s Linear Regression: A Mathematical Introduction presents linear regression theory in a rigorous, but approachable manner that is accessible to students in all social sciences.

  • Linear Regression
    Linear Regression
    By Jürgen Groß

    The book covers the basic theory of linear regression models and presents a comprehensive survey of different estimation techniques as alternatives and complements to least squares estimation.

  • Linear Regression: A Tutorial Introduction to the Mathematics of Regression Analysis
    Linear Regression: A Tutorial Introduction to the Mathematics of Regression Analysis
    By James V Stone

    It is the first step, and often the only step, required to fit a simple model to data. Supported by a Glossary and tutorial appendices, this is an ideal introduction to regression analysis.