Sign In
We are given a table that shows the number of customers that visit a store over a number of weeks.
Week | Customers |
---|---|
1 | 542 |
2 | 601 |
3 | 589 |
4 | 610 |
5 | 648 |
6 | 670 |
7 | 631 |
8 | 620 |
9 | 723 |
10 | 754 |
11 | 885 |
12 | 910 |
We are asked to construct a scatter plot. We will do this by plotting each point from the table on the given coordinate plane. For example, let's sketch the second point from the table (2,601).
Let's now graph the other points from the table.
We have created a scatter plot!
We are asked to interpret the scatter plot that we made in Part A.
Notice that the data points appear to lie close to an invisible line.
This suggests that the relationship is linear. We can see that as the number of weeks increases, the number of customers that visit the store also increases. This means that the association is positive!
The y-value of this point is about 1100. This means that we can make a conjecture that after 20 weeks, there will be approximately 1100 customers in the store. Notice that this is only our expectation based on the given data — the real value could be different.
We are asked to draw a line of best fit for the scatter plot that we made in Part A.
A line best of fit is a straight line that is close to most of the data points. A good line of best fit also has a similar number of points above and below the line. Let's try to draw one.
Substitute values
Subtract terms
Calculate quotient
Round to nearest integer