It seems like you uploaded a scatter plot showing the relationship between monthly heating cost (in dollars) and average monthly temperature (in °F). The data points appear to show a negative correlation, meaning that as the average monthly temperature increases, the heating cost decreases.

Would you like me to analyze this plot further, such as finding the line of best fit, calculating the correlation, or performing another analysis?

Here are some related questions:

1. How do you calculate the line of best fit for this scatter plot?
2. What is the formula for the correlation coefficient, and how is it interpreted in this case?
3. How can you predict heating costs for a given temperature using this plot?
4. What assumptions do we make when drawing a line of best fit in a scatter plot?
5. How can outliers in the data impact the analysis?

Tip: Always check for outliers in a scatter plot, as they can significantly affect the regression analysis and the accuracy of predictions.