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What is Temperature-Power Regression Analysis about?

The regression analysis indicates a strong correlation (0.9895) between temperature (X) and power output (Y), with 97.92% of the variation in Y explained by X. The regression line is defined as Y = 218.25 + 1.38X, and the p-value for temperature is significantly less than 0.05, confirming its significance. The standard error of the estimate is 4.02, indicating the average variation of Y around the fitted line.

Author

poudelgaurav30

Language

EN