IBM SPSS. IBM SPSS has been a long-standing favorite among data professionals for running statistical analyses and multivariate statistical techniques like linear regression.

The a priori-planned multiple linear regression ... 54 patients in the ITT population had no FACT or SF-36 data owing to ... Zagari, M. et al. Multivariate regression analyses of data ...

If data are highly correlated, only a few principal components (PCs; linear combinations of the original variables) are needed to reproduce the original data sufficiently. In this example, the first ...

Example of Nonlinear Regression . One example of how nonlinear regression can be used is to predict population growth over time. A scatterplot of changing population data over time shows that ...

The authors present and explain in detail actual SAS code for analyzing general linear model applications. Additional topics include the following: ANOVA and MANOVA models with and without ...

We begin with a classic dataset taken from Pagan and Ullah (1999, p. 155) who considerCanadian cross-section wage data consisting of a random sample taken from the 1971 Canadian Census Public Use ...

Understanding one of the most important types of data analysis. by Amy Gallo You probably know by now that whenever possible you should be making data-driven decisions at work. But do you know how ...

However, the lack of crucial log data, such as neutron and sonic logs, makes coalbed methane exploration difficult. In this paper, ... Lorenzen R (2018) Multivariate linear regression of sonic logs on ...