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Straight lines can be described algebraically using the linear equation.
Your regression line can be represented by this linear equation. If you knew what yours was, you’d be able to plug any raise request you like into the x variable and get a prediction of what raise that request would elicit.
You just need to find the numerical values for a and b, which are values called the coefficients.
The first variable of the right side of the linear equation represents the y-axis intercept, where your line passes the y-axis.
If you happen to have dots on your scatterplot that are around x=0, you can just find the point of averages for that strip. We’re not so lucky, so finding the intercept might be a little trickier.