From the scatterplot, there is one outlier located at 62 degrees Fahrenheit on the horizontal axis and 5 cups of coffee sold on the vertical axis. This datum is significantly different from the rest of the data points and is considered an outlier.
In terms of clustering, there are two distinct clusters of data points. The first cluster is tightly packed between 30 to 37 degrees Fahrenheit on the horizontal axis and 42 to 48 cups of coffee sold on the vertical axis. This indicates that there is a strong positive correlation between temperature and the number of cups of coffee sold in this temperature range.
The second cluster is loosely packed between 40 to 51 degrees Fahrenheit on the horizontal axis and 30 to 38 cups of coffee sold on the vertical axis. This suggests that there is a weak positive correlation between temperature and the number of cups of coffee sold in this temperature range.
Overall, the scatterplot shows that there is a general trend of more cups of coffee being sold at higher temperatures, but there is some variability in the relationship between temperature and coffee sales in different temperature ranges.
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)
1 answer
1 answer