Why analysts choose Statistico
Instead of isolated statistical outputs, Statistico keeps every stage of Linear Regression connected — without leaving the analytical workflow.
From fitted equation to statistical reasoning — this is Interactive Statistical Computing, not a sequence of static outputs.
What the module provides
One model. Connected regression views.
Click a stage to inspect it — each view stays inside the same fitted model, so there's no re-running the analysis to move between them.
linear-regression-overview.webpOverview
Start with model fit, key coefficients, and the analytical verdict.
linear-regression-results.webpDetailed Results
Read coefficient-level results with significance styling and model context.
linear-regression-partial.webpPartial Plots
Show each predictor contribution after accounting for the rest of the model.
linear-regression-residuals.webpResidual Diagnostics
Check residual patterns, diagnostic plots, and assumption-related warnings.
linear-regression-influence.webpInfluential Cases
Find observations that may be pulling the fitted regression model.
linear-regression-ai.webpAI Insights
Plain-language summary of fit, coefficients, and next checks — see the caution below.
Residuals and influence are part of the model workflow
Residual overview, diagnostic plots, and influential observations sit next to coefficients, so model quality is inspected rather than assumed.
linear-regression-residuals.webpAssess fit, contribution, and stability
Coefficients, partial plots, and influence diagnostics provide complementary evidence before predictions are trusted.
Move from fitted model to prediction scenarios
Prediction controls use the same coefficients already fitted, so scenarios can be compared without leaving the workflow.
Interpretation within the analytical workflow
Statistico's AI-assisted assessment summarizes coefficients, diagnostics, and next steps from the same regression output already in the workspace.
Built for analysts who already know the method
Excel remains the working data environment.
Statistical outputs remain visible and inspectable.
Interaction supports analysis rather than hiding it.