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Question
8.sp.a.1 additional practice
use the data table to answer questions 1 - 4.
the city of racine, wi can have unpredictable weather in the summer time. here are some temperatures that were reported last summer and the number of people that came to the public pool.
| temperature | number of people that visited the pool | temperature | number of people that visited the pool |
|---|---|---|---|
| 54°f | 21 | 77°f | 74 |
| 75°f | 87 | 93°f | 32 |
| 88°f | 112 | 63°f | 11 |
| 92°f | 148 | 76°f | 96 |
| 90°f | 135 | 68°f | 71 |
- create a scatter plot using the data in the table.
- what type of association do the two variables seem to have? (positive linear association, negative linear association, non - linear association, no association.)
- does there appear to be an outlier? if so, what could be the reason it is an outlier?
- if you were hired as the new pool manager, when would you schedule the most lifeguards and pool staff?
Step1: Analyze association
As temperature increases, number of people generally increases, so positive linear association.
Step2: Identify outlier
The point (93°F, 32 people) seems an outlier as most high - temperature days have more visitors. Reason could be a special event, bad weather like rain on that day despite high temperature.
Step3: Determine staff scheduling
Since higher temperature is associated with more visitors, schedule most staff on days with high predicted temperatures.
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- Positive linear association
- Yes, (93°F, 32 people) could be due to special event or bad weather despite high temperature
- On days with high predicted temperatures