In the scatterplot, there is a kink or jump on the horizontal axis close to the origin, which indicates a sudden change in temperature that might have affected the number of cups of coffee sold.
There is a tightly packed cluster of data points between 30 to 37 degrees Fahrenheit on the horizontal axis and 42 to 48 cups of coffee sold on the vertical axis, suggesting a strong positive correlation between temperature in this range and the number of cups of coffee sold.
There is also a loosely packed cluster of data points between 40 to 51 degrees Fahrenheit on the horizontal axis and 30 to 38 cups of coffee sold on the vertical axis, indicating a weaker but still somewhat positive correlation between temperature in this range and the number of cups of coffee sold.
An outlier is also present in the scatterplot, with a single data point at 62 degrees Fahrenheit on the horizontal axis and 5 cups of coffee sold on the vertical axis. This data point is significantly lower compared to the rest of the data and represents an unusual observation in the dataset.
A scatterplot shows the number of cups of coffee sold versus temperature.
The horizontal axis shows temperature, in degrees Fahrenheit, ranging from 0 to 70 in increments of 5, with an initial jump from 0 to 25. The vertical axis shows number of cups of coffee sold, ranging from 0 to 60 in increments of 10. A kink is shown on the horizontal axis close to origin. A tightly packed cluster of data plots is plotted between 30 to 37 on the horizontal axis and 42 to 48 on the vertical axis. A loosely packed cluster of data plots is plotted between 40 to 51 on the horizontal axis 30 and 38 on the vertical axis and. A dot is plotted at 62 on the horizontal axis and 5 on the vertical axis.
Numbers of Cups of Coffee Sold Versus Temperature
Interpret the scatterplot by describing any outliers and patterns of clustering.
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