Employee Satisfaction Survey Analysis

CORRELATION MATRIX ANALYSIS
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Dataset shape: (97, 4)
Variables: ['salary', 'hours_worked', 'satisfaction', 'productivity']

Sample size: 97 observations
Missing values: 0

✓ Heatmap saved: correlation_heatmap.png

✓ Results saved: correlation_results.csv

MULTICOLLINEARITY ALERTS (|r| > 0.8):
🚨 satisfaction ↔ productivity: r = 0.998
🚨 hours_worked ↔ productivity: r = -0.996
🚨 hours_worked ↔ satisfaction: r = -0.995
🚨 salary ↔ hours_worked: r = -0.977
🚨 salary ↔ satisfaction: r = 0.976
🚨 salary ↔ productivity: r = 0.975

TOP CORRELATIONS (Ranked by strength):
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satisfaction ↔ productivity
   r = 0.998 (p = 0.0000) ***
   STRONG POSITIVE

hours_worked ↔ productivity
   r = -0.996 (p = 0.0000) ***
   STRONG NEGATIVE

hours_worked ↔ satisfaction
   r = -0.995 (p = 0.0000) ***
   STRONG NEGATIVE

salary ↔ hours_worked
   r = -0.977 (p = 0.0000) ***
   STRONG NEGATIVE

salary ↔ satisfaction
   r = 0.976 (p = 0.0000) ***
   STRONG POSITIVE

salary ↔ productivity
   r = 0.975 (p = 0.0000) ***
   STRONG POSITIVE

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KEY INSIGHTS:
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1. SALARY EFFECTS:
   • Salary ↔ Satisfaction: r = 0.976
     → Strong positive relationship
   • Salary ↔ Productivity: r = 0.975
     → Strong positive relationship

2. WORKLOAD EFFECTS:
   • Hours Worked ↔ Satisfaction: r = -0.995
     → Strong negative relationship
   • Hours Worked ↔ Productivity: r = -0.996
     → Strong negative relationship

3. SATISFACTION-PRODUCTIVITY LINK:
   • Satisfaction ↔ Productivity: r = 0.998
     → Strong positive relationship
     → This suggests satisfied employees are more productive

4. SAMPLE SIZE INTERPRETATION:
   • With n = 97 observations (good sample size)
   • Correlations |r| > 0.2 are typically reliable
   • All major relationships show statistical significance

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RECOMMENDATIONS:
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✓ COMPENSATION STRATEGY:
  Higher salaries strongly associated with satisfaction.
  Consider competitive salary adjustments for retention.

✓ WORK-LIFE BALANCE:
  Long hours negatively impact satisfaction.
  Implement policies to reduce excessive overtime.

✓ EMPLOYEE ENGAGEMENT:
  Strong satisfaction-productivity correlation detected.
  Investing in employee satisfaction may boost productivity.

✓ EFFICIENCY FOCUS:
  More hours ≠ more productivity.
  Focus on work efficiency rather than time spent.

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FILES GENERATED:
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• correlation_heatmap.png - Visual correlation matrix
• correlation_results.csv - Complete correlation table

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⚠️  IMPORTANT REMINDER
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Correlation does not imply causation. These relationships may reflect
confounders or reverse causation. Further analysis (e.g., controlled
experiments, regression analysis) needed to establish causal relationships.