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The image shows two scatter plots, each representing "Hours of Practice per Week" on the x-axis and "Number of Games Won" on the y-axis. There are two lines of best fit drawn in each plot, and the question asks which line was drawn correctly to make predictions. Additionally, it asks what the best prediction of the number of games won is if the team practiced 3 hours per week.

- The **purple line** on the left seems to have a higher slope, predicting a steeper increase in games won with practice.
- The **orange line** on the right has a lower slope, making a more moderate prediction.

To answer the question:

1. For 3 hours of practice per week:
   - On the **purple line (Justin’s line)**, it crosses approximately at **15 games**.
   - On the **orange line (Brian’s line)**, it crosses around **12 games**.

Given that the orange line (Brian’s) fits the data points better, Brian’s line of best fit is more accurate. The correct prediction based on Brian's line for 3 hours of practice is **12 games**.

Therefore, the correct answer is **B. Brian; 12 games**.

Would you like more details on how to draw lines of best fit or explore related concepts?

### 5 Follow-Up Questions:
1. How do you determine the line of best fit for a set of data?
2. What does the slope of the line of best fit represent in this context?
3. How would increasing practice time beyond 5 hours affect the prediction?
4. Could the accuracy of the prediction change if we had more data points?
5. How can residuals be used to check the fit of a line?

### Tip:
When drawing a line of best fit, ensure that the line passes as close as possible to all data points, balancing the distance above and below the line for an accurate prediction.

Who drew the line of best fit correctly to make predictions? Based on the scatterplot, what is the best prediction of the number of games a baseball team won if the team practiced 3 hours each week during the season?

Learn how to determine the best line of fit for a scatter plot and make predictions based on the number of hours a baseball team practices each week. This lesson involves concepts such as scatter plots, lines of best fit, and interpreting slopes. Ideal for students in Grades 7-10.

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