query: About linear regression and polynomial functions
positive_passages.docid: 10405
positive_passages.text: How to tell the difference between linear and non-linear regression models?
negative_passages.docid: 130729
negative_passages.text: Polynomial extrapolation
negative_passages.docid: 51310
negative_passages.text: Linear regression polynomial slope constraint in R
negative_passages.docid: 85976
negative_passages.text: Implementing linear regression with standardization
negative_passages.docid: 94256
negative_passages.text: Partial factorization of multivariate polynomials in terms of given polynomials
negative_passages.docid: 117099
negative_passages.text: Coefficient Problem (polynomial expansion)
negative_passages.docid: 79306
negative_passages.text: Back-transformation of regression coefficients
negative_passages.docid: 124337
negative_passages.text: Degrees of freedom in regression
negative_passages.docid: 119016
negative_passages.text: Why does polynomial factorization generalize to matrices
negative_passages.docid: 44278
negative_passages.text: $R^2$ for least absolute deviation regression
negative_passages.docid: 109914
negative_passages.text: Generalized Least Squares vs Ordinary Least Squares under a special case
negative_passages.docid: 155661
negative_passages.text: Linear regression with fixed point
negative_passages.docid: 12444
negative_passages.text: Multivariate linear regression vs. several univariate regression models
negative_passages.docid: 91200
negative_passages.text: Fitting polynomial model to data in R
negative_passages.docid: 8823
negative_passages.text: Why the significance of terms in orthogonal polynomial regression changes with the degree of the regression
negative_passages.docid: 27929
negative_passages.text: Understanding shape and calculation of confidence bands in linear regression
negative_passages.docid: 130013
negative_passages.text: Nonlinear regression model linear in some parameters