Tire pressure data can be used in predictive modeling in several ways. For instance, it can be used to determine whether tires are properly inflated when a car leaves the factory, how often customers reinflate them, and how long customers take to respond to a low-pressure alert. It can also be used to find leak rates and predict when tires are likely to go flat. This data, when visualized on a scatter plot, can provide clear insights to the intended audience.
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