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
Based on the scatterplot, there are two prominent patterns of clustering observed.
Firstly, there is a tightly packed cluster of data points that falls within the range of 30 to 37 on the horizontal axis (temperature) and 42 to 48 on the vertical axis (number of cups of coffee sold). This suggests a strong correlation between temperature and coffee sales within this temperature range. It indicates that as temperature increases within this range, the number of cups of coffee sold also increases.
Secondly, there is a loosely packed cluster of data points that falls within the range of 40 to 51 on the horizontal axis and 30 to 38 on the vertical axis. This indicates a less strong correlation between temperature and coffee sales within this range. It suggests that while temperature may still have some influence on coffee sales within this range, the relationship is not as strong as in the previous cluster.
In addition to these clustering patterns, there is an outlier represented by a dot plotted at 62 on the horizontal axis and 5 on the vertical axis. This outlier represents a high temperature (62 degrees Fahrenheit) with an unusually low number of cups of coffee sold (5). It indicates an exception to the observed correlation between temperature and coffee sales in the other data points.