Least Squares Line of Best Fit
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This example demonstrates the concept of the least squares line of best fit. It involves linear regression analysis in statistics, calculating the correlation coefficient, standard deviation, and means to determine the slope and y-intercept of the best fit line. GeoGebra commands such as PMCC, SDX, SDY, MeanX, and MeanY are used. Suitable for high school mathematics education and learning linear regression analysis.
GeoGebra Commands & Parameters
PMCC(list1) → CorrSDX(list1) → SDXSDY(list1) → SDYMeanX(list1) → MeanxMeanY(list1) → Meany