really hard quadratic equation, someone please help?
if flow from a fire hose varies with water pressure, and can be estimated by the equation: \[F = a x^2 + b x + c\] find the least-squares values for the constants a, b, and c with the below data: FLOW (F) 94 118 147 180 230 Pressure (x) 10 16 25 40 60
@amorfide do you guys have a sec? @dumbcow
i know what to do with linear ones, but this is really hard
I don't know how to do least-squares
but I know you can plug in the numbers for three of the points and solve it as a system of equations
yeah...?
Yeah what Peter said
ok so just like a matrix then?
Well not exactly, because you have to do it for all points... the least squares method minimizes the errors. Been a while since I've done it, but it's vaguely familiar. http://www.efunda.com/math/leastsquares/leastsquares.cfm
This is for a parabola http://www.efunda.com/math/leastsquares/lstsqr2dcurve.cfm
@agent0smith that link is brilliant, exactly what i need, thanks man!
Sorry I can not do this
@amorfide all good, thanks for gettin back to us anyway
No prob. I'd try to work through it but it's too late, GL on it.
does this seem right to you guys...? \[F = -0.013406x^2 + 3.58357x + 62.1491\]
Compare the points to the graph... https://www.google.com/search?q=-0.013406x%5E2%2B3.58357x%2B62.1491&aq=f&oq=-0.013406x%5E2%2B3.58357x%2B62.1491&aqs=chrome.0.57.1312j0&sourceid=chrome&ie=UTF-8 The points from the table above, match up with those points on the graph pretty closely.
Or just plug the x values from this FLOW (F) 94 118 147 180 230 Pressure (x) 10 16 25 40 60 Into your equation, and check you get reasonably close to the actual F values.
i never knew google could do that, cheers man! Yep, going off that, they match really closely, i think I'd be more confidant if I had more that 5 points of data to go off, but it matches what I'm supposed to have
Yeah google is great for graphs, a bit more interaction than wolfram alpha. And like you said, you can't be much more confident because you only have a few points; your line of best fit can only be a best fit for the data you're given.
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