1. Bivariate data is data for two, usually related, variables. Each value of one variable is paired with a value
of the other, for example, the height and shoe size of each student in a high school class. Bivariate data
can be plotted on a coordinate plane called a scatter plot. A scatter plot's X-axis represents one variable,
and its y-axis represents the other. By plotting each data pair on a scatter plot, we can visualize the
relationship between variables. Scatter plots help us understand whether or not something like height
and shoe size are related. Scatter plots also help us identify outliers and clustering in a set of bivariate
data. Outliers are values that are much larger or smaller than most other values in a data set. On a scatter
plot, outliers are easy to spot since they appear well above or below most other plotted points. Clustering
becomes apparent when points are bunched close together. This tells us something about how common
a particular range of values is.
Which of the following is not an example of of bivariate data set?
A. hats sold at a hat store and temperature on B. average gas price at a local gas station
a certain day
C. weight and height of professional athletes
D. hair length and amount of shampoo used