Linear Models and the Line of Best Fit

learning_notes

Last updated: 8/16/2025

Key Concepts:

  • Understanding Linear Equations – The general form of a linear equation is (y = mx + b), where (m) is the slope and (b) is the y-intercept.
  • Identifying Slope and Intercept – The slope represents the rate of change, while the y-intercept shows where the line crosses the y-axis.
  • Choosing the Best Linear Model – A model that closely follows data points is the best representation.
  • Line of Best Fit – A straight line that best represents data points on a scatterplot.

Skills Covered:

  • Identify the most appropriate linear equation for a scatterplot.
  • Choose the equation that best represents a given line of best fit.
  • Determine how many data points fall above or below a given line of best fit.

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