השוואת שיטות

	מבחן Ramsey RESET לצורה פונקציונלית	רגרסיית ריבועים פחותים רגילים (OLS)
תחום	אקונומטריקה	אקונומטריקה
משפחה	Regression model	Regression model
שנת המקור	1969	2019
הוגה השיטה	James B. Ramsey	Wooldridge (textbook treatment); classical least squares
סוג	Test for functional-form misspecification	Linear regression
מקור מכונן	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
כינויים	RESET test, regression specification error test, Ramsey RESET fonksiyonel form testi	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
קשורות	4	5
תקציר	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).