Numbers of cups of coffee sold versus temperature interpret the scatterplot by describing any outliers and patterns of clustering

Answer 1

The scatterplot showing the numbers of cups of coffee sold versus temperature may reveal certain patterns and outliers:

- Outliers: If there are points on the scatterplot that are significantly far away from the main cluster of points, these could be considered outliers. These outliers may indicate unusual circumstances where the number of cups of coffee sold is abnormally high or low compared to the temperature.

- Clustered patterns: If the points on the scatterplot are clustered together in a specific area, this may indicate a correlation between the temperature and the number of cups of coffee sold. For example, if there is a cluster of points showing higher sales when the temperature is lower, this could suggest that colder weather leads to increased coffee consumption.

Overall, analyzing the scatterplot can help identify any trends or correlations between temperature and coffee sales, as well as any unusual occurrences that may be considered outliers.

Answer 2

Very short sentences

Answer 3

Outliers indicate unusual sales. Clustering may show patterns. Scatterplot helps analyze data. Temperature may affect coffee sales. Look for correlations in data.