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Polynomial regression

Polynomial regression in statistics is a kind of linear regression which shows the established relationship between the independent variable X and dependent Varaiable Y which are modeled as polynomial of nth degree in X.

What are centered polynomial models?

The idea of centering the polynomials is to subtract the mean X from all X values prior fitting it into the model. This can be done as part of nonlinear regression, using this model:

XC = X – Xmean

Y= B0 + B1*XC +B2*XC^2

XC in the above mentioned formula is the centered X value. XC is equal to X value minus Mean which is the mean of X values. The centered and uncentered polynomial homework help from our experts will help you to understand that XC is the distance of X value from the mean of all X values. X mean is a constant value.

Center variable in polynomial regression

The two reasons to center predictor during regression analysis include:

• To interpret the parameters estimates very easily
• To lessen the correlation,that is established between the multiplicative term and variables which are multiplied.

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