The Correlation and Regression product allows the user to investigate relationships between two or more variables and then use these findings to predict one variable from the given values of other variables. We cover linear (Pearman's, t-test, z-transform) and rank (Spearson's, Kendall's) correlation, linear regression and conditional means.

• WebCab Correlation and Regression (Single CPU Serv v4.
  The Correlation and Regression product allows the user to investigate relationships between two or more variables and then use these findings to predict one variable from the...

• WebCab Correlation and Regression (2 CPU Server Li v4.
  The Correlation and Regression product allows the user to investigate relationships between two or more variables and then use these findings to predict one variable from the given values of other variables

• WebCab Correlation and Regression (4 CPU Server Li v4.
  The Correlation and Regression product allows the user to investigate relationships between two or more variables and then use these findings to predict one variable from the given values of other variables. We cover linear (Pearman's, t-test,...

• WebCab Correlation and Regression (Site Wide Serve v4.
  The Correlation and Regression product allows the user to investigate relationships between two or more variables and then use these findings to predict one variable from the given values of other variables

• WebCab Correlation and Regression (Single Develope v4.
  The Correlation and Regression product allows the user to investigate relationships between two or more variables and then use these findings to predict one variable from the given values of other variables. We cover linear (Pearman's, t-test, z-transform) and rank (Spearson's, Kendall's) correlation, linear regression and conditional means.

• WebCab Correlation and Regression (4 Developer Tea v4.
  The Correlation and Regression product allows the user to investigate relationships between two or more variables and then use these findings to predict one variable from the given values of other variables

• Linear Regression 1.00
  Performs linear regression using the Least Squares method. Determines the regression coefficients, the generalized correlation coefficient and the standard error of estimate. Does multivariate regression. Displays 2D and 3D plots.

• Multiple Regression Analysis and Forecasting 1.
  The Multiple Regression Analysis and Forecasting model provides a solid basis for identifying value drivers and forecasting business plan data

• Regression Analysis and Forecasting 1.0
  The Multiple Regression Analysis and Forecasting model provides a solid basis for identifying value drivers and forecasting business plan data. While it utilises a range of...

• Regression Analysis and Forecasting 2.0
  The Multiple Regression Analysis and Forecasting model provides a solid basis for identifying value drivers and forecasting business plan data