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RAISINS-Regression Analysis Module
Discover R A I S I N S (R & AI Solutions in INferential Statistics) - your ultimate tool for mastering Regression Analysis! Effortlessly upload your data and unlock instant, polished tables tailored for your analysis. Dive deeper with stunning advanced plots and explore automated table interpretations. Transform complex stats into clear, actionable results with ease!
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Regression Analysis
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Developed by
Team RAISINS, STATOBERRY LLP
Author: Chief Statistician
© All rights reserved to STATOBERRY LLP
Influence & Outlier Diagnostics
This table screens each observation for three distinct kinds of unusual behaviour:
A flag is a signpost, not a verdict: investigate flagged rows for data-entry errors, but do not delete a point merely because it is flagged - a genuine extreme case can be the most informative observation.
- Outlier - the model fits this point poorly (a large standardized/studentized residual); it lies far from the fitted line in the response (Y) direction. Flagged as Potential outlier (|studentized residual| > 2) or Extreme outlier (> 3).
- High leverage - the point sits far from the others in the predictor (X) space, giving it unusual pull on the fit, even if its residual is small. Flagged when leverage > 2p/n.
- Influential - removing this point would visibly change the fitted coefficients. It usually combines high leverage with a large residual, and is flagged when Cook's distance > 4/n.
A flag is a signpost, not a verdict: investigate flagged rows for data-entry errors, but do not delete a point merely because it is flagged - a genuine extreme case can be the most informative observation.
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Download Diagnostics (CSV)
Pick a plot using the icon buttons below. Click the settings button ( ⚙ ) in the top-left corner of the plot to explore the extensive customization options, and download your plot in PNG, JPEG, TIFF, PDF or SVG.
Regression Line
Facet Plots
Observed vs Predicted
Coefficient Plot
Pareto Chart
Added-Variable
Residual Distribution
Correlation Heatmap
Pair Plot
Residuals vs Fitted
Normal Q-Q
Scale-Location
Residuals vs Leverage
ACF of Residuals
Facet Regression Plots
If plot doesn't display properly, try adjusting font sizes in settings or use plot dimension overrides.
Added-Variable Plots
Each panel shows the unique contribution of one predictor after removing the effect of all the others.
CSV Data File Creator for Regression Analysis
This is a user-friendly platform where you can generate CSV files for Regression Analysis.
Enter the number of variables and observations in the sidebar panel. Upon submission, a table will appear in the main panel, where you can enter or paste numeric data.
You can copy numeric data from Excel and paste using Ctrl+V (non-numeric values will be ignored).
After entering data, download the CSV file and upload it in the analysis tab for Regression Analysis.
This tool simplifies data entry and manipulation for efficient analysis.
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