The image shows a scatter plot depicting the relationship between two variables: Temperature (°C) on the x-axis and Humidity (g/m³) on the y-axis. Based on the plot, the humidity increases as the temperature increases, indicating a specific type of correlation.

Analysis:

1. Positive Trend: The data points in the scatter plot suggest that as the temperature increases, the humidity also increases. This indicates a positive correlation between temperature and humidity.

2. Options Analysis:

   • A. Positive trend: This matches the observed pattern in the scatter plot where an increase in one variable results in an increase in the other.
   • B. Constant trend: This would imply that the humidity remains the same regardless of the temperature, which is not the case here.
   • C. Random variation: This would suggest no pattern or correlation between the variables, which is also not true as a clear upward trend is visible.
   • D. Negative trend: This would imply that humidity decreases as temperature increases, which is not what the scatter plot shows.

Conclusion:

The correct answer is A. Positive trend, as the scatter plot shows a positive correlation between temperature and humidity.

Would you like more details or have any other questions?

Related Questions:

1. What is the difference between positive and negative correlations in scatter plots?
2. How can you determine if a trend is linear or nonlinear in a scatter plot?
3. What are some real-life examples where temperature and humidity have a positive correlation?
4. What methods can be used to quantify the strength of a correlation?
5. How can outliers in data affect the interpretation of scatter plots?

Tip:

Always look at the overall direction of the data points in a scatter plot to determine if there is a positive, negative, or no correlation between the variables.