Use the image to answer the question.
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.
(4 points)
From the scatterplot, we can observe a few patterns of clustering as well as an outlier.
First, there is a tightly packed cluster of data plots between 30 to 37 on the horizontal axis and 42 to 48 on the vertical axis. This indicates that within this temperature range, there is a consistent number of cups of coffee sold. The data points are closely grouped together, suggesting a strong correlation between temperature and coffee sales in this range.
Next, there is a loosely packed cluster of data plots between 40 to 51 on the horizontal axis and 30 to 38 on the vertical axis. This suggests that within this temperature range, there is a wider range of coffee sales. The data points are more spread out compared to the previous cluster, indicating a weaker correlation between temperature and coffee sales in this range.
Lastly, there is an outlier represented by a single dot plotted at 62 on the horizontal axis and 5 on the vertical axis. This data point does not fit the general pattern observed in the rest of the scatterplot. It could indicate an anomaly or an unusual circumstance where a lower number of cups of coffee were sold despite a higher temperature.
Overall, the scatterplot reveals patterns of clustering suggesting a correlation between temperature and coffee sales, with some distinct ranges of temperatures showing consistent sales. Additionally, the presence of an outlier emphasizes the need for further investigation into the factors influencing coffee sales.