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

CSV Data *

Target Column (Dependent Variable) *

Feature Columns (Independent Variables)

Regression Type

Confidence Level

Missing Value Handling

Outlier Handling

Include Intercept (Bias Term)

Standardize Features (Z-score normalization)

Generate Predictions

Prediction Data (Optional)

CSV data for making predictions (must include same feature columns as training data)

Include Detailed Diagnostics

Decimal Places

Number of decimal places for regression coefficients and statistics

API Documentation

Request Endpoint

POST /en/api/tools/regression-analyzer

Request Parameters

Parameter Name	Type	Required	Description
inputData	textarea	Yes	-
targetColumn	text	Yes	-
featureColumns	textarea	No	-
regressionType	select	No	-
confidenceLevel	select	No	-
handleMissing	select	No	-
outlierMethod	select	No	-
includeIntercept	checkbox	No	-
standardizeFeatures	checkbox	No	-
generatePredictions	checkbox	No	-
predictionData	textarea	No	CSV data for making predictions (must include same feature columns as training data)
includeDiagnostics	checkbox	No	-
decimalPlaces	number	No	Number of decimal places for regression coefficients and statistics

Response Format

{
  "result": "Processed text content",
  "error": "Error message (optional)",
  "message": "Notification message (optional)",
  "metadata": {
    "key": "value"
  }
}

Text: Text

AI MCP Documentation

Add this tool to your MCP server configuration:

{
  "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.

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",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=regression-analyzer",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]