Feature spotlights

Weighted least squares

This capability lets you control for correlations between the predictor variables and error terms that can occur with time-based data.

Probit analysis

Use probit and logit response modeling to analyze the potency of responses to stimuli, such as medicine doses, prices or incentives.

Predictor selection

Choose from four methods of selecting predictors: forward entry, backward elimination, forward stepwise and backward stepwise.

Two-stage least square regression

Control for correlations between predictor variables and error terms. Display output in pivot tables

Technical details

Software requirements

IBM SPSS Regression requires a valid IBM SPSS Statistics Base license.

  • Prerequisite: IBM SPSS Statistics

Hardware requirements

  • Processor: 2 GHz or faster
  • Display: 1024*768 or higher
  • Memory: 4 GB of RAM required, 8 GB of RAM or more recommended
  • Disk space: 2 GB or more

See how it works

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