The correlation between social media advertising costs and sales revenue is given by the "Multiple R" value in the regression output table. In this case, the Multiple R value is 0.627615.

This indicates a moderate positive correlation between advertising costs and sales revenue. A value closer to 1 would represent a stronger positive correlation, while a value near 0 would suggest little to no correlation.

Would you like more details or have any questions about this analysis?

Here are 5 related questions that might interest you:

1. How do we interpret the R-squared value in this context?
2. What is the difference between R and R-squared in regression?
3. How can the standard error help us understand the accuracy of this model?
4. Why is the adjusted R-squared value lower than the R-squared value?
5. What does the scatter plot suggest about the relationship between advertising costs and sales?

Tip: A higher correlation does not necessarily imply causation; it only suggests a relationship between the variables. Always explore other factors.