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  2. Segmented regression - Wikipedia

    en.wikipedia.org/wiki/Segmented_regression

    Segmented regression, also known as piecewise regression or broken-stick regression, is a method in regression analysis in which the independent variable is partitioned into intervals and a separate line segment is fit to each interval. Segmented regression analysis can also be performed on multivariate data by partitioning the various ...

  3. SegReg - Wikipedia

    en.wikipedia.org/wiki/SegReg

    When only one independent variable is present, the results may look like: X < BP ==> Y = A 1.X + B 1 + R Y; X > BP ==> Y = A 2.X + B 2 + R Y; where BP is the breakpoint, Y is the dependent variable, X the independent variable, A the regression coefficient, B the regression constant, and R Y the residual of Y.

  4. Cross-sectional data - Wikipedia

    en.wikipedia.org/wiki/Cross-sectional_data

    Cross-sectional data can be used in cross-sectional regression, which is regression analysis of cross-sectional data. For example, the consumption expenditures of various individuals in a fixed month could be regressed on their incomes, accumulated wealth levels, and their various demographic features to find out how differences in those ...

  5. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    In the more general multiple regression model, there are independent variables: = + + + +, where is the -th observation on the -th independent variable.If the first independent variable takes the value 1 for all , =, then is called the regression intercept.

  6. Template:Least squares and regression analysis - Wikipedia

    en.wikipedia.org/wiki/Template:Least_squares_and...

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file

  7. Template:Regression bar - Wikipedia

    en.wikipedia.org/wiki/Template:Regression_bar

    Part of a series on: Regression analysis; Models; Linear regression; Simple regression; Polynomial regression; General linear model; Generalized linear model