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Least-Squares Regression
Description

🎯SAMPLE LEARNING GOALS :

•Interpret r (the correlation coefficient) as data points are added, moved, or removed.

•Interpret the sum of the squared residuals while manually fitting a line.

•Interpret the sum of the squared residuals of a best-fit line as a data point is added, moved, or removed.

•Compare the sum of the squared residuals between a manually fitted line and the best-fit line.

•Determine if a linear fit is appropriate.

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The views expressed in the simulations here are those of the contributor and don’t necessarily represent the views of Pandai.
Chapter : Measures of Dispersion of Ungrouped Data
Topic : Solve problems involving measures of dispersion
Form 4 Mathematics
View all simulations for Mathematics Form 4
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