terminal - analysis results
$ mcpanalytics run linear_regression

๐Ÿ“Š Linear Regression Analysis Complete

โœ“ Rยฒ Score: 0.847
โœ“ P-value: < 0.001
โœ“ Features: 3 significant
โœ“ Residuals: Normal distribution

๐Ÿ“ˆ Visualization generated
๐Ÿ’พ Results saved to database

โšก Analysis completed in 8.2s

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Business Intelligence

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Linear Regression Correlation Analysis
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ARIMA Time Series
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T-Test Hypothesis Testing
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Lasso Regression Ridge Regression
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Correlation Matrix Linear Regression
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T-Test Statistical Process Control

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claude@mcpanalytics ~ Live Analysis Demo
$ "Analyze which factors drive customer satisfaction scores"
โœ“ Dataset uploaded: customer_feedback.csv (5,234 rows)
โœ“ MCP tool selected: correlation_matrix
๐Ÿ” Analyzing correlations across 12 variables...
โœ“ Analysis complete (1.8s)
๐Ÿ“Š Key Findings: โ€ข Response time: -0.72 correlation (strongest negative impact) โ€ข Product quality: +0.68 correlation โ€ข Support helpfulness: +0.61 correlation ๐Ÿ“ˆ View interactive heatmap
$

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