Bivariate Data Analysis & Probability Unit Test
Question
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.
In the scatterplot, there is an outlier at the top right corner where the temperature is 62 degrees Fahrenheit and the number of cups of coffee sold is 5. This data point is significantly different from the rest of the data points, suggesting it may be an outlier.
There are two distinct patterns of clustering in the scatterplot. The first pattern is a tightly packed cluster of data points between 30 to 37 degrees Fahrenheit on the horizontal axis and 42 to 48 cups of coffee sold on the vertical axis. This suggests a positive correlation between temperature and the number of cups of coffee sold within this range.
The second pattern is a loosely packed cluster of data points between 40 to 51 degrees Fahrenheit on the horizontal axis and 30 to 38 cups of coffee sold on the vertical axis. This cluster suggests a weaker positive correlation between temperature and the number of cups of coffee sold, compared to the first pattern.
Overall, the scatterplot shows that there is a positive relationship between temperature and the number of cups of coffee sold, with some variability in the strength of this relationship within different temperature ranges.
simplify it please
In the scatterplot:
- There is one outlier at 62 degrees Fahrenheit and 5 cups of coffee sold, which stands out from the rest of the data.
- There are two main clusters of data points:
1. A tightly packed cluster between 30-37 degrees Fahrenheit and 42-48 cups of coffee sold, showing a strong positive correlation.
2. A loosely packed cluster between 40-51 degrees Fahrenheit and 30-38 cups of coffee sold, indicating a weaker positive correlation.
- Overall, the scatterplot suggests that as temperature increases, the number of cups of coffee sold tends to increase, with some variations in the strength of this relationship within different temperature ranges.