To determine which pairs of variables would likely show a positive correlation in a scatterplot, let's analyze each pair:
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A person's height and the person's grade on a test: Generally, there is no strong or consistent correlation between a person's height and their test grades. This would not be represented with a positive correlation.
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The depth of water in a pond and the amount of rainfall: Typically, as rainfall increases, the depth of water in a pond also increases, assuming no evaporation or water usage. This would show a positive correlation.
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The number of miles driven and the number of people on the bus: Generally, if more people are on the bus, the number of miles driven may not increase in a direct positive way; it could vary based on the routes taken and the bus's purpose. This would not be expected to show a positive correlation.
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The number of concert tickets purchased and the number of concert tickets still available for purchase: As more tickets are purchased, the number of tickets still available decreases. This would show a negative correlation, not a positive one.
Based on this analysis, the only pair of variables that would likely represent a scatterplot with a positive correlation is:
The depth of water in a pond and the amount of rainfall.