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 dependency), known as correlation, between the two properties.
In this job, we are interested in the linear correlation that is the straight-line relationship between two properties.

The linear correlation can range between -1 (perfect negative relationship) and +1 (perfect positive relationship), with 0 indicating no straight-line relationship, as shown in these scatterplots:

The same data points, and thus linear correlations, 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 linear correlation shown by 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.