This image contains a question asking which trend line best fits the given data. Based on the four options (A, B, C, and D), here’s how we can analyze and answer:

Observations:

1. Option A shows a downward (negative slope) trend line, which is inconsistent with the data points that exhibit an upward trend.
2. Option B has a positively sloped line that passes through the majority of data points, fitting the overall upward trend.
3. Option C has a steep upward slope that deviates from the less steep trend of the actual data points.
4. Option D depicts a horizontal trend line, which does not represent the upward trend in the data.

Conclusion:

The correct answer is B because it best fits the data with an appropriate slope and alignment.

Would you like me to explain more about how trend lines are selected or about analyzing data points for patterns?

Related Questions:

1. What are some common methods for determining a trend line for a given dataset?
2. How do you calculate the equation of a trend line?
3. What are the differences between a linear trend line and other types of trend lines (e.g., quadratic)?
4. Why is it important to avoid overfitting when selecting a trend line?
5. Can you describe real-world applications of using trend lines in data analysis?

Tip:

When fitting a trend line, always check whether the slope and intercept make sense based on the dataset's overall direction and spread.