Correlation & Relationship Analysis

[levelslip]

• Description: Analyze feature relationships and dependencies
• Activities:
  • Correlation analysis:
    • Calculate correlation matrix for all features
    • Identify strong correlations (> 0.7)
    • Create correlation heatmap visualization
  • Feature relationship analysis:
    • Analyze queue length vs wait time relationship
    • Analyze doctor availability vs wait time
    • Analyze service time vs wait time dependencies
  • Categorical relationship analysis:
    • Compare wait times across categories (department, doctor, time)
    • Perform statistical tests (ANOVA, Chi-square)
    • Identify significant differences
  • Interaction analysis:
    • Identify feature interactions (e.g., peak hours × high queue)
    • Analyze compound effects on wait time
  • Multicollinearity assessment:
    • Identify highly correlated features
    • Plan for feature selection to avoid multicollinearity
  • Statistical significance testing:
    • Perform hypothesis tests
    • Calculate p-values and significance levels
  • Create visualizations:
    • Correlation heatmaps
    • Scatter plot matrices
    • Box plots for categorical relationships
  • Document correlation findings and recommendations
• Deliverables: Correlation analysis report, relationship visualizations