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is a polynomial regression model in one variable and is called as second order model or quadratic model. The coefficients 1 . to do all the calculations from the scratch. This aspect was of more importance in pre-computer era when all the calculations were done manually. This cannot be achieved by using the powers 0. 2.
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5 Jan 2015 Approximating a dataset using a polynomial equation is useful when conducting engineering calculations as it allows results to be quickly updated when inputs change without the need for manual lookup of The general polynomial regression model can be developed using the method of least squares.
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