There are many ways, but probably you aren't in a statistics class, but in an algebra class. Step 1 plot all the data points on a coordinate plane graph (x-y graph)
Step 2 estimate a line 'close' to points.
Step 3 use 2 points ON THE LINE (these do not need to be data points)
Step 4 find slope of line using points from step 3
Step 5 use point-slope formula to write the equation.
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Not necessarily. Often it is, but the line of best fit is simply an equation that closely matches the results. Therefore any line could be a line of best fit, linear, quadradic, or even cubic! The sky (and the results) are the limit.
The line of best fit is simply the line that shows the general direction of the graph. The trick is to make the line go through as many points on the graph as possible. Some scatter plots have no line of best fit.
You have to put a line of best fit onto the graph and find where that line crosses the y-axis.
By drawing a line of 'best fit'
The line of best fit does not have to pass through the 0 (origin) and rarely does