Typically the following is used:
* Least Squares Regression Line. y=a +bx
* Three-Median Regression Line y= mx + c
It isn't really a fixated rule; just ensure that you are aware of the slope & intercept of the regression model when it comes to determining and/or interpreting these statistical values in further analysis.
Well both are exactly the same, with just the y intercept and gradient represented with different pro-numerals. I didn't think that "typically" you use a + bx for least squares and mx + c for three median, I've just used whatever I'm comfortable with (which I see more of mx + c due to methods).
Just make sure you can interpret the y intercept and the gradient.
You may get questions like:
fare = a + b x maximum distanceand you are required to find a and b, so you need to recognise in this case that a is the y intercept and b is the slope/gradient.
And you may get it the other way round:
fare = a x maximum distance + bSo you just need to be able to identify which one is the slope and what is the y intercept and sub in appropriate values.