A scatterplot shows the number of cups of coffee sold versus temperature.

Question

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.

5 grade words

Answer 1

The scatterplot shows how many cups of coffee are sold at different temperatures.

1. Clusters:

   • There is a tight group of dots (data points) between 30 to 37 degrees on the temperature axis and 42 to 48 cups on the coffee sold axis. This means that when it's around 30 to 37 degrees, a lot of people are buying coffee.
   • Another group of dots is found between 40 to 51 degrees on the temperature axis and 30 to 38 cups on the coffee sold axis. This shows that as temperatures rise to around 40 to 51 degrees, fewer cups of coffee are sold compared to the lower temperatures.

2. Outliers:

   • There is one dot alone at 62 degrees on the temperature axis and 5 cups sold on the vertical axis. This point is different from the rest because it shows that at 62 degrees, very few cups of coffee are sold. This could mean that when it's warmer, people don't want to drink as much hot coffee.

In summary, the scatterplot shows that more coffee is sold when it's cooler and that there are fewer sales as temperatures rise. The single point at 62 degrees is an outlier, showing that it stands apart from the other data points.