Data Analysis

Regression Analyzer

Advanced regression analysis tool for performing linear regression analysis, calculating regression statistics, and making predictions. Perfect for statistical modeling, trend analysis, forecasting, and understanding relationships between variables. Features: - Simple linear regression (y = mx + b) - Multiple linear regression support - Regression coefficients calculation - Statistical significance testing - R-squared and adjusted R-squared - Residual analysis and diagnostics - Prediction intervals and confidence intervals - Outlier detection in regression - Model validation metrics - Visual regression diagnostics - Data transformation support Common Use Cases: - Sales forecasting and trend analysis - Financial modeling and risk assessment - Scientific research and hypothesis testing - Quality control and process optimization - Marketing analytics and ROI analysis - Medical and biological research

text· Text result

Quick start

Call this tool from your code in three languages.

cURL

curl -X POST 'https://api.elysiatools.com/en/api/tools/regression-analyzer' \
  -H 'Content-Type: application/json' \
  -d '{"inputData":"sales,advertising,price,season\n1500,200,29.99,1\n1800,250,27.99,2\n2100,300,24.99,1\n1900,280,26.99,2\n2400,350,22.99,1","targetColumn":"sales","featureColumns":"advertising, price, season\n\nLeave empty to auto-detect numeric columns","regressionType":"multiple","confidenceLevel":"0.95","handleMissing":"remove","outlierMethod":"none","includeIntercept":true,"standardizeFeatures":false,"generatePredictions":false,"predictionData":"advertising, price, season\n320,21.99,1\n280,25.99,2","includeDiagnostics":true,"decimalPlaces":4}'

Data Analysis

Regression Analyzer

text· Text result

Quick start

Call this tool from your code in three languages.

cURL

curl -X POST 'https://api.elysiatools.com/en/api/tools/regression-analyzer' \
  -H 'Content-Type: application/json' \
  -d '{"inputData":"sales,advertising,price,season\n1500,200,29.99,1\n1800,250,27.99,2\n2100,300,24.99,1\n1900,280,26.99,2\n2400,350,22.99,1","targetColumn":"sales","featureColumns":"advertising, price, season\n\nLeave empty to auto-detect numeric columns","regressionType":"multiple","confidenceLevel":"0.95","handleMissing":"remove","outlierMethod":"none","includeIntercept":true,"standardizeFeatures":false,"generatePredictions":false,"predictionData":"advertising, price, season\n320,21.99,1\n280,25.99,2","includeDiagnostics":true,"decimalPlaces":4}'

Name	Type	Required	Description
inputData	textarea	Yes	—
targetColumn	text	Yes	—
featureColumns	textarea	No	—
regressionType	select	No	—
confidenceLevel	select	No	—
handleMissing

{ "mcpServers": { "elysiatools-regression-analyzer": { "name": "regression-analyzer", "description": "Advanced regression analysis tool for performing linear regression analysis, calculating regression statistics, and making predictions. Perfect for statistical modeling, trend analysis, forecasting, and understanding relationships between variables.\n\nFeatures:\n- Simple linear regression (y = mx + b)\n- Multiple linear regression support\n- Regression coefficients calculation\n- Statistical significance testing\n- R-squared and adjusted R-squared\n- Residual analysis and diagnostics\n- Prediction intervals and confidence intervals\n- Outlier detection in regression\n- Model validation metrics\n- Visual regression diagnostics\n- Data transformation support\n\nCommon Use Cases:\n- Sales forecasting and trend analysis\n- Financial modeling and risk assessment\n- Scientific research and hypothesis testing\n- Quality control and process optimization\n- Marketing analytics and ROI analysis\n- Medical and biological research", "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=regression-analyzer", "command": "", "args": [], "env": {}, "isActive": true, "type": "sse" } } }

{ "jsonrpc": "2.0", "id": 2, "method": "tools/call", "params": { "name": "regression-analyzer", "arguments": { "inputData": "sales,advertising,price,season\n1500,200,29.99,1\n1800,250,27.99,2\n2100,300,24.99,1\n1900,280,26.99,2\n2400,350,22.99,1", "targetColumn": "sales", "featureColumns": "advertising, price, season\n\nLeave empty to auto-detect numeric columns", "regressionType": "multiple", "confidenceLevel": "0.95", "handleMissing": "remove", "outlierMethod": "none", "includeIntercept": true, "standardizeFeatures": false, "generatePredictions": false, "predictionData": "advertising, price, season\n320,21.99,1\n280,25.99,2", "includeDiagnostics": true, "decimalPlaces": 4 } } }

Regression Analyzer

Quick start

Regression Analyzer

Quick start

API reference

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Parameters

MCP integration

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