Joined
·
8,592 Posts
What is the derived equation to estimate uncertainy on data points and curve fitting? I know it's :
uncertainy^2 = 1/(n-p)*SUM(of N from i = 1) E^2. What is E^2?
Where n = the number of data points and p = the number of fit parameters in a linear equation. y = mx + b.
uncertainy^2 = 1/(n-p)*SUM(of N from i = 1) E^2. What is E^2?
Where n = the number of data points and p = the number of fit parameters in a linear equation. y = mx + b.