Obtaining Coefficients and Uncertainties for a Least-Squares Parabola

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The discussion focuses on the challenge of obtaining coefficients and uncertainties for a least-squares parabola, similar to those derived for a linear least-squares regression. The user expresses frustration with the complexity of deriving these expressions and the lack of uncertainty calculations available in Matlab. They successfully outline the formulas for linear regression coefficients and their uncertainties but struggle to adapt these methods for a parabolic fit. The conversation suggests that logarithmic transformations may be necessary to simplify the parabolic data into a linear form for analysis. Ultimately, the user seeks guidance on calculating uncertainties for their parabolic least-squares fitting, which is crucial for their lab report on Maxwell's Disc.
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I have tried to find some information of the expresions for a least-squares parabola coefficients (including their uncertaintities), then I have tried to do it for myself using the minimum condition for partial derivatives as same as with the least-squares line, but the expressions of coefs are so complex, and then I have no idea to obtain uncertaintities. In Matlab are a function to get the coefficients but not the uncertaintities, and I am upset, since I must get how to obtain uncertaintities, it's fundamental for a lab report on Maxwell's Disc.

Please Help Me!
 
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For the linear least-squares regression we can get:

y=ax+b

a=(Σxy-nxmeanymean)/(Σ(x^2)-n(xmean^2))

b=ymean-axmean

and their uncertaintities:

Δa=sqrt((Σ((y-(ax)-b)^2))/(n-2))/sqrt(Σ(x^2)-n(xmean^2))

Δb=sqrt((Σ((y-(ax)-b)^2))/(n-2))*sqrt((1/n)+((xmean^2)/D))

where D=(Σ(x^2)-n(xmean^2)). hence we have that the ecuation is:

y=(a±Δa)x+(b±Δb)

Well I'm triying to do the same for a parabolic least-squares.
 
for a parabolic least squares, you need to use logarithms.
/s
 
plot you graph on log paper. it should make a stright line.
 
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