I have the following sample dataset -
| a | f |
|-----------|---------|
| £75.00 | 43,200 |
| £500.00 | 36,700 |
| £450.00 | 53,400 |
| £450.00 | 25,700 |
| £250.00 | 12,900 |
| £1,600.00 | 136,000 |
| £600.00 | 72,900 |
| £500.00 | 13,000 |
| £500.00 | 49,600 |
| £500.00 | 43,600 |
| £1,000.00 | 104,000 |
And I've used google graphs to create a line of best fit for it
It has analysed the 'trend line' as 0.762
.
I simply want to create a function that I can use to calculate A, when given F. I just want a number returned.
const calc = f => what_A_should_be_given_F
What might be a good approach for this?
Thanks for any help, Ollie
EDIT:
The slope is 83.81246554
, and the y-intercept is 633.9917215
.
You can do it like this.
If you have y = mx + b
and need to get x
you need to modify your equation to x = (y - b) / m
const arr = [43200, 36700, 53400, 25700, 12900, 136000, 72900, 13000, 49600, 43600, 104000];
const m = 83.81246554;
const b = 633.991172215;
const calc = f => (f - b) / m;
for (let i = 0; i < arr.length; i++) {
console.log(`${arr[i]} => ${calc(arr[i])}`);
}