To find the slope of the best fit line given the equation:

$y = 10x - 60$

This equation is already in slope-intercept form, which is written as:

$y = mx + b$

Where:

• $m$ is the slope of the line,
• $b$ is the y-intercept.

In this case, comparing the given equation $y = 10x - 60$ with the slope-intercept form, we can see that:

• The slope $m = 10$,
• The y-intercept $b = -60$.

Thus, the slope of the best fit line is 10.

Would you like more details about how the slope works or how to use it for predictions?

Related questions:

1. What does the slope of a line represent in a real-world context?
2. How do you interpret the y-intercept of a linear model?
3. How can you use the slope to predict the value of $y$ for a given $x$?
4. How can you calculate the slope between two points if you have them?
5. What does a slope of 10 imply about the relationship between $x$ and $y$?

Tip: The slope of a line is the ratio of the vertical change to the horizontal change between any two points on the line.