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What is the difference between curve fitting and regression?
curve fitting is a very difficult and time wasting method while regrresion is more to use as compare to curve fitting
How do you estimate the best fit of curve?
You always use some model (i.e. function) to fit experimental curve. If you do not know the kind of curve (linear, parabola, Gauss, etc.) you can try to fit with different functions and then compare the residual sum of squares and coefficient of determination of those fit functions. I use MagicPlot for curve fitting, you can try to find something in MagicPlot on-line help.
How is curve fitting used in mathematics?
Curvie fitting is used in mathematics to find a mathematicalmodel that fits your data. The curve fit fins the specific parameters which make that function match your data as closely as possible.
What is the purpose of making a standard curve?
The values of many curves cannot be calculated analytically: the process requires painstaking numerical estimation. The values of a standard curve can be calculated once and published for ready reference. This means that, given any other curve in the same family, it is possible to transform it to the standard curve and the reference values can be used.
When the larger values of the standard deviation result in a normal curve that narrower and more peak?
Smaller
