The outlier in the scatterplot is the dot plotted at 62 degrees Fahrenheit and 5 cups of coffee sold. This data point is significantly higher than the rest of the data and does not follow the general trend of the other points.
There are two main clusters of data points in the scatterplot. The first cluster is a tightly packed group of data points between 30 and 37 degrees Fahrenheit on the horizontal axis, and 42 to 48 cups of coffee sold on the vertical axis. The second cluster is a loosely packed group of data points between 40 and 51 degrees Fahrenheit on the horizontal axis, and 30 to 38 cups of coffee sold on the vertical axis.
Overall, the scatterplot shows a positive correlation between temperature and the number of cups of coffee sold, with higher temperatures corresponding to higher sales. The clusters of data points suggest that there may be certain temperature ranges that are more optimal for selling coffee.
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.
short pls
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