Calculating Correlation Coefficient between Cost of Advertisement and Sales
Cost of Advertisement and Sales Data:
- Cost of Advertisement: $8795
- Sales of the product: ?

Correlation Coefficient Calculation
To calculate the correlation coefficient between cost of advertisement and sales, you would need a dataset with both variables. Since only the cost of advertisement is provided ($8795), we are missing the sales data.
The correlation coefficient, denoted by r, is a statistical measure that describes the strength and direction of a relationship between two variables. It ranges from -1 to 1, where 1 indicates a perfect positive relationship, -1 indicates a perfect negative relationship, and 0 indicates no relationship.

Importance of Having Both Variables
To accurately calculate the correlation coefficient, you would need the corresponding sales data for the given cost of advertisement. Without the sales data, it is not possible to determine the relationship between the two variables.

Conclusion
In conclusion, to find the correlation coefficient between cost of advertisement and sales of a product, you would need both sets of data. Once you have the complete dataset, you can calculate the correlation coefficient to determine the strength and direction of the relationship between the two variables.