In the scatterplot, the tightly packed cluster of data plots between 30 to 37 on the horizontal axis and 42 to 48 on the vertical axis suggests a strong positive correlation between temperature and number of cups of coffee sold within that range. This indicates that as the temperature increases within that range, the number of cups of coffee sold also increases.
The loosely packed cluster of data plots between 40 to 51 on the horizontal axis and 30 to 38 on the vertical axis suggests a weaker correlation between temperature and number of cups of coffee sold within that range. This indicates that there may be other factors influencing the number of cups of coffee sold in that temperature range.
The outlier at 62 on the horizontal axis and 5 on the vertical axis is significant as it falls far away from the rest of the data points. This outlier indicates an unusual result where a very high temperature did not result in a proportionately high number of cups of coffee sold. This may be due to a variety of factors such as an error in data collection or a unique circumstance that influenced coffee sales at that temperature.
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