The equation of the regression line based on the given data is:

$y = 0.79x + 12.78$

This means the slope of the line is approximately $0.79$, and the y-intercept is approximately $12.78$.

Would you like more details or further explanation on how the regression was calculated?

Here are 5 related questions for further understanding:

1. How is the slope of a regression line interpreted in practical terms?
2. What does the y-intercept represent in this context?
3. What is the meaning of the $R^2$ value in regression analysis?
4. How would the regression line change if more data points were added?
5. How can you predict new values using this regression equation?

Tip: When interpreting the slope, think of it as how much the dependent variable (y) changes for each one-unit increase in the independent variable (x).