You need to use an undocumented trick with Excel's LINEST
function:
=LINEST(known_y's, [known_x's], [const], [stats])
A regular linear regression is calculated (with your data) as:
=LINEST(B2:B21,A2:A21)
which returns a single value, the linear slope (m
) according to the formula:
which for your data:
is:
You can also use Excel to calculate a regression with a formula that uses an exponent for x
different from 1
, e.g. x1.2:
using the formula:
=LINEST(B2:B21, A2:A21^1.2)
which for you data:
is:
Excel's LINEST
function can also calculate multiple regressions, with different exponents on x
at the same time, e.g.:
=LINEST(B2:B21,A2:A21^{1,2})
Note: if locale is set to European (decimal symbol ","), then comma should be replaced by semicolon and backslash, i.e.
=LINEST(B2:B21;A2:A21^{1\2})
Now Excel will calculate regressions using both x1 and x2 at the same time:
The impossibly tricky part there's no obvious way to see the other regression values. In order to do that you need to:
select the cell that contains your formula:
extend the selection the left 2 spaces (you need the select to be at least 3 cells wide):
press F2
press Ctrl+Shift+Enter
You will now see your 3 regression constants:
y = -0.01777539x^2 + 6.864151123x + -591.3531443
I had a function that I wanted to perform a regression using some exponent:
y = m×xk + b
But I didn't know the exponent. So I changed the LINEST
function to use a cell reference instead:
=LINEST(B2:B21,A2:A21^F3, true, true)
With Excel then outputting full stats (the 4th paramter to LINEST
):
I tell the Solver to maximize R2:
And it can figure out the best exponent. Which for you data:
is: