방법 비교

	Ramsey RESET 검정: 함수 형태	최소제곱법(OLS) 회귀
분야	계량경제학	계량경제학
계열	Regression model	Regression model
기원 연도	1969	2019
창시자	James B. Ramsey	Wooldridge (textbook treatment); classical least squares
유형	Test for functional-form misspecification	Linear regression
원전	Ramsey, J. B. (1969). Tests for specification errors in classical linear least-squares regression analysis. Journal of the Royal Statistical Society: Series B, 31(2), 350–371.	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
별칭	RESET test, regression specification error test, Ramsey RESET fonksiyonel form testi	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
관련	4	5
요약	The Ramsey RESET test, proposed by James Ramsey in 1969, is a general test for functional-form misspecification in a linear regression — for omitted nonlinear relationships between the response and the regressors. It adds powers of the fitted values to the model and checks whether they significantly improve the fit; if they do, the original linear specification has left systematic structure unexplained.	Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE).