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Data Analyzer - Two Variables

Data Analyzer - Two Variables
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2022-05-24 07:38
FunctionCoordinate GeometryProbability & Statistics
This GeoGebra applet is designed for creating scatter plots and exploring regression analysis. It covers key concepts such as linear and polynomial regression. Using commands like FitLineY and FitPoly, users can easily analyze the relationship between two variables. Suitable for high school and above students or teachers.

GeoGebra Commands & Parameters

  1. FitLineY(l3) → f
  2. FitPoly(l3, 2) → g
  3. SelectedIndex(l4) → index
  4. PMCC(l3) → a
  5. FitPoly(l3, 3) → h
  6. FitGrowth(l3) → p
  7. Unique(l3) → l5
  8. Degree(g) → degreeg
  9. Degree(h) → degreeh
  10. mean(l1) → meanx
  11. mean(l2) → meany
  12. Max(l1) → maxxvalue
  13. Min(l1) → minxvalue
  14. Max(l2) → maxyvalue
  15. Min(l2) → minyvalue

AI Drawing Prompt Reference

Create a scatter plot for two variables and analyze their linear and quadratic relationships. First, plot the scatter plot, then add a linear regression line and a quadratic polynomial regression line, calculate the correlation coefficient, and finally analyze the cubic polynomial regression line and the exponential growth model.
The prompt above was compiled from the original drawing commands and is for reference only.