CRS (FREE) • MODELING

SCEA Regression & Correlation

Multi-Model Inference & Predictive Solver

A professional-grade statistical inference kernel designed to model complex relationships between variables. Combines a multi-model regression engine with robust numerical solvers for publication-ready proofs.

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ANALYTICAL RIGOR

Universal Modeling & ANOVA Proofs.

Move beyond simple trendlines. SCEA Regression supports models from Simple Linear to 4th-degree Polynomials and Exponential curves. To meet journal standards, it generates complete Analysis of Variance (ANOVA) tables with exact P-values to verify statistical significance across all selected mathematical models.

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Modeling • CRS (Free)

SCEA-Regression

Comprehensive modeling suite featuring bi-directional solving and automated correlation intelligence.

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Prediction

Bi-Directional Solver

Advanced tool allowing you to enter X to find Y, or input a target Y to solve for all real X values or roots.

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Intelligence

Correlation IQ

Calculates the Pearson Correlation Coefficient (r) and provides automated descriptors to interpret relationship strength.

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Reporting

Professional Export

Generate persistence-aware data reports and export comprehensive DOCX analytical proofs for publications.

How to Operate

1. Input Data

Batch import CSV or enter data manually into the grid. Persistence-aware storage preserves entries during layout changes.

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2. Select Model

Choose from Linear, Polynomial (up to 4th-degree), Exponential, or Logarithmic kernels for matrix-solved coefficients.

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3. Predict & Prove

Use the bi-directional solver for predictions and review the ANOVA table for verified statistical significance.

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Model complex relationships with journal-grade analytical rigor.

Ready to prove your data?

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