This is an array version of LINEST which allows polynomial regression. The ^{1,2,3,4,5,6} portion is raising each entry in the range F1:F709 to the powers of 1, 2, 3, 4, 5, and 6.
Suppose you have two ranges (G1:G709 and F1:F709 in your case) in mine:
| Polynomial Regression: |
|
| T |
Res |
| (°K) |
(ohm-cm) |
| 300 |
4.70E+02 |
| 320 |
5.49E+02 |
| 340 |
6.36E+02 |
| 360 |
7.29E+02 |
| 380 |
8.21E+02 |
| 400 |
8.59E+02 |
| 420 |
7.03E+02 |
| 440 |
4.85E+02 |
| 460 |
2.88E+02 |
| 480 |
1.68E+02 |
| 500 |
9.90E+01 |
The 6 order polynomial regression can be calculated as follows:

This is identical to what the charting tool does when you add a trend line and choose the option Polynomial, Order 6:

(Note that Moving Average is a separate option)
In my example Res are the known Y-values and T are the known X-values and I am displaying all the stats and suppressing the errors (blank items).
The formula in the purple cell and over the entire rectangle is:
{=IFNA(LINEST(Res,T^{1,2,3,4,5,6},,1),"")}
I have setup the formula to output all the statistics. You can see what each is here:
https://support.microsoft.com/en-us/office/linest-function-84d7d0d9-6e50-4101-977a-fa7abf772b6d?ns=excel&version=90&syslcid=1033&uilcid=1033&appver=zxl900&helpid=xlmain11.chm60097&ui=en-us&rs=en-us&ad=us
The numbers in the first two columns above are:
| m1 |
B |
| se1 |
seb |
| r^2^ |
sey |
| F |
Df |
| ssreg |
ssresid |