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The scatterplot shows the time spent playing a video game and the number of points scored by several students.
 
 
Based on the scatterplot, which is the best prediction of the number of points scored by a student who spends 45 minutes playing the video game?

A.1,200

B.920

C.1,060

D.1,300


To predict the number of points scored by a student who spends 45 minutes playing the video game based on the scatterplot, we need to observe the trend in the data.

### Analysis:
1. The scatterplot shows a generally upward trend in points scored as time increases.
2. For students who played for around 30 minutes, the points scored seem to be just above 900 (around 950-1000).
3. If the trend continues at a similar rate, the number of points at 45 minutes would be a reasonable extrapolation based on the pattern.

From this pattern:
- The points scored seem to increase by around 200–300 points for every 10–15 minutes played.

### Extrapolation:
Looking at this steady increase, it seems that at 45 minutes, the number of points scored would be around **1,200**.

Thus, the best prediction for the number of points scored by a student who plays for 45 minutes is:

**A. 1,200**

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Would you like more details on how the prediction was made or have any questions?

Here are 5 related questions:
1. What type of function might best fit this scatterplot (linear, exponential, etc.)?
2. How can we mathematically calculate the rate of increase in points?
3. Could there be a limit to how many points someone could score after a certain time period?
4. How would this scatterplot change if there were more data points for higher times?
5. How would we use a line of best fit to make more accurate predictions?

**Tip**: Scatterplots are great for identifying trends in data, and a line of best fit can be used to quantify relationships more precisely.

The scatterplot shows the time spent playing a video game and the number of points scored by several students. Based on the scatterplot, which is the best prediction of the number of points scored by a student who spends 45 minutes playing the video game?
A. 1,200
B. 920
C. 1,060
D. 1,300

Learn how to predict the number of points a student can score in a video game after playing for 45 minutes using a scatterplot. This problem demonstrates how to analyze trends and make predictions through extrapolation. Suitable for Grades 7-9.

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