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The document presents a simple linear regression analysis of peak-hour demand versus total monthly energy usage, with the fitted model being ŷ = -0.117 + 0.002847x. The coefficient of determination (R²) is 0.449, indicating that 44.9% of the variability in peak-hour demand is explained by monthly energy usage. A significance test shows a strong linear relationship exists, as the p-value for the slope is significantly less than 0.05.

Author

elhtayna

Language

EN