To solve the problem, let’s analyze the scatterplot step-by-step:

1. Identify the trend in the scatterplot:
   The scatterplot shows a positive correlation between the air temperature (x-axis) and the speed of sound (y-axis). As the temperature increases, the speed of sound also increases.

2. Find the approximate pattern:
   The data points appear to increase at a roughly constant rate. From 0°C to 40°C:

   • At 0°C, the speed of sound is about 331 m/s.
   • At 40°C, the speed of sound is around 355 m/s.

   The pattern suggests that the speed of sound increases by approximately 6 m/s for every 10°C.

3. Predict the speed of sound at 50°C:
   To extend this trend to 50°C:

   • From 40°C to 50°C is an increase of 10°C.
   • The speed of sound will increase by another 6 m/s.

   Starting from 355 m/s at 40°C, adding 6 m/s gives:
   $355 + 6 = 361 \, \text{m/s}.$

4. Select the closest answer:
   The closest option to 361 m/s is 360 m/s.

Final Answer: 360 m/s

Do you want me to explain the relationship further or analyze any specific part?

Here are 5 related questions for practice:

1. How would the speed of sound change if the air temperature reached 60°C?
2. What type of correlation exists in the scatterplot (linear, exponential, or none)?
3. If the speed of sound increases by 6 m/s per 10°C, what is the speed of sound at -10°C?
4. How do you interpret the y-intercept of the scatterplot in this context?
5. What mathematical equation might represent the relationship between air temperature and speed of sound?

Tip: When predicting from scatterplots, extend the trend line carefully while checking the data’s consistency.