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Looking at the scatterplot, we observe that as the number of lanes rented increases, the number of people bowling also tends to increase. This pattern shows a positive correlation, where more lanes rented corresponds to more people bowling.

Thus, the correct statement is:
**B. There is a positive linear association between the number of lanes rented and the number of people who bowl.**

Would you like further clarification on how to interpret scatterplots or the concept of correlation?

Here are 5 related questions you might explore:
1. What is the difference between a positive and negative linear association?
2. How do you calculate the strength of a linear association?
3. Can you always assume a linear relationship between variables in scatterplots?
4. How would outliers affect the interpretation of a scatterplot?
5. How can you determine whether an association is truly linear or if it could be non-linear?

**Tip:** A line of best fit can help you see the general trend in a scatterplot, especially in identifying the direction and strength of an association.

Which statement is best supported by the scatterplot? A. There is a non-linear association between the number of lanes rented and the number of people who bowl. B. There is a positive linear association between the number of lanes rented and the number of people who bowl. C. There is no apparent association between the number of lanes rented and the number of people who bowl. D. There is a negative linear association between the number of lanes rented and the number of people who bowl.

This problem explores how to interpret a scatterplot to determine if there's a positive linear association between the number of lanes rented and the number of people who bowl. Learn about scatterplots, correlations, and how to identify patterns. Suitable for students in Grades 6-8.

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