Scatterplots, like the ones below, visualize the value of two properties for a group of items.
A dot represents an item, while the dot's position indicates the value of the two properties depicted by the x-axis and y-axis.

Scatterplots help us understand the degree of relationship or linear correlation between the two properties.
Individual points that fall outside the overall pattern of the scatterplot, known as outliers, can have a big influence on correlation.

A scatterplot can have any number of outliers. The following scatterplots show the same data points with an additional 1, 2, 3, 4 and 5 outliers:

The outlier in the leftmost scatterplot is noted below with an arrow:

The same data points and outliers as those above can be visualized by the following scatterplots, where only the design (e.g., dot size and opacity) is different from those above:

On the next pages, you have to identify the number of outliers shown in the given scatterplot. Once you click on the button with your answer, the correct answer will be shown.
Note that if you get most of these training questions wrong, you will not be allowed to proceed with the job and you will not get paid.