Statistical Analysis Interpreter

Regression output: Marketing spend coefficient = 0.15 (p < 0.001), R-squared = 0.72. DV: Monthly sales. IV: Marketing spend.

## Statistical Interpretation\n\n**What This Means in Plain English:**\n\nYour analysis shows a strong, statistically significant relationship between marketing spend and monthly sales.\n\n**Key Findings:**\n\n1. **Coefficient (0.15)**: For every additional $1 spent on marketing, you can expect sales to increase by $0.15 on average.\n - $10,000 more in marketing = ~$1,500 more in sales\n\n2. **P-value (< 0.001)**: This relationship is highly unlikely to be due to chance. We have strong confidence this is a real effect.\n\n3. **R-squared (0.72)**: Marketing spend explains 72% of the variation in monthly sales. This is a strong explanatory model.\n\n**Business Implications:**\n\n- Marketing investment shows clear ROI\n- Every $1 spent returns $0.15 in sales\n- Consider this when setting marketing budgets\n\n**Cautions:**\n\n- Correlation is not causation - other factors may be involved\n- Past performance may not predict future results\n- Consider diminishing returns at higher spend levels