Education Technology

Statistics: Scatterplot Pulse Rates
by Texas Instruments


  • Students will analyze the relationship between two quantities by plotting data on a scatterplot.
  • Students will informally assess the fit of a function by plotting and analyzing residuals.
  • Students will recognize that, if a linear model is a good fit for the data, the residual plot should not have a pattern or be systematic in any way.
  • Students will analyze and interpret the significance of the slope and y-intercept of a linear model.


  • explanatory variable
  • least-squares regression line
  • residual
  • response variable
  • scatter plot
  • slope

About the Lesson

This lesson involves creating a scatterplot and fitting a line to student pulse rates collected before and after exercise.

As a result, students will:

  • Fit a moveable line to a scatterplot of pulse rates before and after exercise.
  • Identify large residuals from the scatterplot and line and from the residual plot.
  • Drag the line, and observe how the residuals change.
  • Inspect the least-squares regression line and the corresponding residual plot.