Programming & Scientific Computing · Statistical & BI Software

SPSS: Predictive modeling and advanced regression

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction REGRESSION / DEPENDENT Y / METHOD = ENTER X1 X2 X3 / SAVE ZRESID(Residuals) Statistical Reference Manual · Expert Level

Overview

Topics covered

  • Introduction
  • Predictive Modeling and Advanced Regression in SPSS
  • SPSS Predictive Epistemology and Statistical Environment
  • Explanation versus Prediction
  • Data Architecture in SPSS for Modeling
  • Simple Linear Regression (RLS)

Related concepts

Main connections

  • Logistic regression
  • Linear regression
  • Variance & standard deviation
  • Residual analysis & diagnostics
  • Maximum likelihood estimation
  • p-value & significance

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

Y=f(𝐗)+ε
View LaTeX sourceY = f(\mathbf{X}) + \varepsilon