The most accurate way to describe the plot with the additional information is as wave-like and repetitive.
The scatter plot shows a clear wave-like pattern, with high temperatures peaking in the summer months (July and August) and dropping in the winter months (December and January).
This pattern repeats itself over the two-year period, suggesting that the average monthly high temperature in Dallas/Fort Worth is influenced by seasonal changes.
A linear function would not be able to capture this wave-like pattern, as it would only produce a straight line. A quadratic function might be able to approximate the pattern, but it would not be as accurate as a sine function, which is specifically designed to model periodic phenomena.
Therefore, the most accurate way to describe the plot with the additional information is as wave-like and repetitive.