Sign In
Start by representing the given data as ordered pairs.
See solution.
A scatter plot is a graph that shows the associations between two data sets. We will first construct a scatter plot of the data collected by a travel agency. Let's do it!
We can begin by looking at the given table. It shows the number of units produced over time.
| Month | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
|---|---|---|---|---|---|---|---|---|---|---|
| Number of Visitors | 208 | 245 | 423 | 432 | 412 | 626 | 647 | 620 | 402 | 356 |
We want to create a scatter plot of number of units produced over time. First, we need to represent the data as ordered pairs (x,y), where x is the month and y is the number of visitors.
We want to interpret the scatter plot. To do so, we can start by reviewing different patterns of associations that can be shown using scatter plots.
Notice that we can use the shape of the distribution of a scatter plot to determine the type of the association. Let's now look at the scatter plot of the data collected by a travel agency!
We can see that the points do not lie close to a line or a curve. Therefore, the scatter plot shows no association.
To identify clusters and outliers on the scatter plot, let's recall some important definitions.
| Outlier | Cluster |
|---|---|
| An outlier is a data point that is set off from the other data points. | A cluster is a group of points that lie close together. |
With these definitions in mind, we can finally make some conclusions about the outliers and clusters in our graph.
Note that clusters and outliers are found by observing a graph. Therefore, they are subjective and a different observer can interpret the graph differently. Our solution is just an example solution.
We know that the scatter plot shows no association between the month and the number of visitors. This means that there is no relationship between the two data sets. Therefore, we cannot make a conjecture about the number of visitors in month 12.