"Least Cubic Method" Also called "Generalized the Least Square Method", is new Method of data regression.
The disadvantages are that the calculations required are not simple and that the method assumes that the same linear relationship is applicable across the whole data range. And these are the disadvantages of the least squares method.
High sensetivity to outliers (i.e. Extreme observation)
Scientists use a generalized protocol known as the scientific method.
Because the sum of the deviations would, by definition, always be zero. So there is nothing to be minimised to improve the fit.
Because the scientific method is just that -- a generalized way to discover answers that will vary with each experiment
A scatter diagram will give a quick but rough extimate of the trend line - especially if there is a lot of variation about the trend. The least squares method will be more accurate.
The square root of 196 is 14, no matter what method you use. If you work a math problem two different ways and get different answers, then at least one of them is wrong, and there's a good chance that both of them are.
Square roots are computed using the Babylonian method, calculators, Newton's method, or the Rough estimation method. * * * * * Or the Newton-Raphson method.
what in generalized data
Of course you want a generalized answer. The range usually spans thousands of square acres.