Glencoe Math: Course 3, Volume 2
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Glencoe Math: Course 3, Volume 2 View details
1. Scatter Plots
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Exercise 8 Page 673

Start by representing the given data as ordered pairs.

See solution.

Practice makes perfect

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!

Construct the Scatter Plot

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. cc (1,208) & (2,245) & (3,423) (4,432) & (5,412) & (6,626) (7,647) & (8,620) & (9,402) & (10,356)& Now, we can graph the ordered pairs on a coordinate plane.

Find the Type of Association

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.

Identify Clusters and Outliers

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.

  • There appears to be no outliers.
  • There appears to be no clusters.

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.

Conjecture for Month 12

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.