3: Describing Data, Part 2


Upon successful completion of this lesson, you will be able to:

  • Construct and interpret a boxplot and side-by-side boxplots
  • Use the IQR method to identify outliers
  • Construct and interpret histograms with groups and dotplots with groups
  • Construct and interpret a scatterplot
  • Compute and interpret a correlation
  • Construct and interpret a simple linear regression model (i.e., one explanatory and one response variable)
  • Compute and interpret residuals from a simple linear regression model
  • Interpret plots of more than two variables
  • Select an appropriate graphical representation for a given scenario 

* All graph construction and computations in this lesson will be conducted in Minitab

This lesson corresponds to Sections 2.4, 2.5, 2.6, and 2.7 in the Lock5 textbook. This week you will be learning how to describe and display data concerning the relationship between one categorical and one quantitative variable or the relationship between two quantitative variables.

In our discussion of the relationship between two quantitative variables it is assumed that you have a basic understanding of linear equations (i.e., \(y=mx+b\)). For a review of basic linear equations, see Lesson 0.1.4 of the online notes.