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	Ordinal logistisk regression (modellen med proportionella odds)	Vanligaste minsta kvadratmetoden (OLS) Regression
Ämnesområde	Statistik	Ekonometri
Familj	Regression model	Regression model
Ursprungsår	2010	2019
Upphovsperson	Agresti (textbook treatment); proportional odds model	Wooldridge (textbook treatment); classical least squares
Typ	Ordinal logistic regression	Linear regression
Ursprungskälla	Agresti, A. (2010). Analysis of Ordinal Categorical Data (2nd ed.). Wiley.	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
Alias	proportional odds model, ordered logit, ordinal logistic regression, Ordinal Regresyon (Proportional Odds)	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
Närliggande	5	5
Sammanfattning	Ordinal logistic regression models an ordered categorical outcome — such as a Likert rating, a satisfaction level, or an education tier — as a function of predictors. It is the ordinal extension of logistic regression, developed in standard treatments such as Agresti's Analysis of Ordinal Categorical Data (2010), and in its most common form it is the proportional odds model.	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).