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Use univariate and multivariate modeling for more complex analyses.

Predict categorical outcomes and apply nonlinear regression procedures.

Summarize large data sets easily.

Reach more accurate conclusions with small samples and rare occurrences.

Approximate the sampling distribution of an estimator by resampling the original dataset.

Uncover missing data patterns, estimate summary statistics, and input missing values.

Streamline data preparation for more efficient analysis and more accurate conclusions.

Predict outcomes and reveal relationships using categorical data.

Build time-series forecasts regardless of your skill level.

Use decision trees and classification to identify relationships and predict outcomes.

Analyze statistical data and interpret survey results for complex samples.

Discover complex relationships and improve predictive models.

Understand and measure purchasing decisions better.

Easily identify the right customers and improve campaign results.

Learn about the enhanced features and functionality of IBM® SPSS® Statistics 29