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Scatter Plots and Line Graphs 1.1: Statistical Graphing & Linear Fit

Scatter Plots and Line Graphs 1.1: Statistical Graphing & Linear Fit
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2017-08-24 00:09
FunctionCoordinate GeometryProbability & StatisticsGraphing
This example demonstrates the creation of scatter plots and line graphs with linear fitting. Core concepts include statistical data visualization, linear regression, and coordinate geometry. Construction utilizes CurveCartesian for curve plotting, FitLineY for regression analysis, Intersect for finding intersection points, and Point/Segment for geometric elements. Suitable for high school statistics education or introductory data analysis, helping users visualize linear relationships between variables effectively.

GeoGebra Commands & Parameters

  1. CurveCartesian((scale * cos(t)) + x(pt1), ((scale * off) * sin(t)) + y(pt1), t, 0, (2 * π)) → c1
  2. CurveCartesian((scale * cos(t)) + x(pt2), ((scale * off) * sin(t)) + y(pt2), t, 0, (2 * π)) → c2
  3. CurveCartesian((scale * cos(t)) + x(pt3), ((scale * off) * sin(t)) + y(pt3), t, 0, (2 * π)) → c3
  4. CurveCartesian((scale * cos(t)) + x(pt4), ((scale * off) * sin(t)) + y(pt4), t, 0, (2 * π)) → c4
  5. CurveCartesian((scale * cos(t)) + x(pt5), ((scale * off) * sin(t)) + y(pt5), t, 0, (2 * π)) → c5
  6. CurveCartesian((scale * cos(t)) + x(pt6), ((scale * off) * sin(t)) + y(pt6), t, 0, (2 * π)) → c6
  7. CurveCartesian((scale * cos(t)) + x(pt7), ((scale * off) * sin(t)) + y(pt7), t, 0, (2 * π)) → c7
  8. CurveCartesian((scale * cos(t)) + x(pt8), ((scale * off) * sin(t)) + y(pt8), t, 0, (2 * π)) → c8
  9. FitLineY({pt1, pt2, pt3, pt4, pt5, pt6, pt7, pt8}) → f
  10. Intersect(f, xAxis) → A
  11. Point(f) → B
  12. Segment(B, A) → g