Calculate a Cube Root Using Linear Approximation
Linear approximation is not only easy to do, but also very useful! For example, you can use it to approximate a cubed root without using a calculator.
Here’s an example. Can you approximate
in your head? Yes, you can! How?
Like this: Bingo! 4.125.
Well, okay, there’s a little more to it than that. Take a look at the figure and then follow the steps below to get the full picture.
To estimate
follow these steps:

Find a perfect cube root near
You notice that
is near a nobrainer,
which, of course, is 4. That gives you the point (64, 4) on the graph of

Find the slope of
(which is the slope of the tangent line) at x = 64.
This tells you that — to approximate cube roots near 64 — you add (or subtract)
to 4 for each increase (or decrease) of one from 64. For example, the cube root of 65 is about
the cube root of 66 is about
the cube root of 67 is about
and the cube root of 63 is about

Use the pointslope form to write the equation of the tangent line at (64, 4).
In the third line of the above equation, you put the 4 in the front of the right side of the equation (instead of at the far right which might seem more natural) for two reasons. First, because doing so makes this equation jibe with the explanation at the end of Step 2 about starting at 4 and going up (or down) from there as you move away from the point of tangency. And second, to make this equation agree with the explanation at the end of Step 4. You’ll see how it all works in a minute.

Because this tangent line runs so close to the function
near x = 64, you can use it to estimate cube roots of numbers near 64, like at x = 70.
By the way, in your calc text, the simple pointslope form from algebra (first equation line in Step 3) is probably rewritten in highfalutin’ calculus terms — like this:
Don’t be intimidated by this equation. It’s just your friendly old algebra equation in disguise! Look carefully at it term by term and you’ll see that it’s mathematically identical to the pointslope equation tweaked like this: y = y_{1} + m(x – x_{1}). (The different subscript numbers, 0 and 1, have no significance.)