An easy way to examine the data given is by scatter plot. When we plot the points
from the given set of data onto a rectangular coordinate system, we have a
scatter plot..
Let's look at the two examples.
Example 1: A cost modeller wants to know the likely cost of a new contract based on the data collected from previous contracts.
| Number of employees | Total cost of contract |
|---|---|
| 10 | $500,000 |
| 20 | $700,000 |
| 8 | $400,000 |
| 15 | $600,000 |
| 2 | $300,000 |
A scatter plot below uses the above data with the number of employees on the Y-axis and total cost of contract on the X-axis.

| Student | SAT Score x | Calculus Midterm Score y |
|---|---|---|
| 1 | 1100 | 89 |
| 2 | 1300 | 92 |
| 3 | 1000 | 86 |
| 4 | 1100 | 92 |
| 5 | 1200 | 90 |
| 6 | 1200 | 93 |
| 7 | 1400 | 98 |
| 8 | 1300 | 95 |
| 9 | 1000 | 88 |
| 10 | 1400 | 95 |
A scatter plot below uses the above data with the calculus midterm score on the Y-axis and SAT score on the X-axis.

We can see that the scatter plots can be useful to find any relationship that may exist among the data. Also, the scatter plots are helpful in analyzing the data and the errors in the linear regression analysis can be found easily.