forklaringsgrad
Forklaringsgrad, or explained variance, is a statistical measure that indicates how well a regression model accounts for the variability of the dependent variable. In linear regression, it is commonly expressed as R^2, the proportion of the total variance of the dependent variable that is explained by the independent variables. R^2 takes values from 0 to 1 (0% to 100%); higher values suggest the model captures more of the variability in the data.
Calculation and interpretation: R^2 = 1 - SSE/SST, where SSE is the sum of squared residuals and SST
Limitations: A high forklaringsgrad does not imply causation, and the statistic can be influenced by outliers
Non-linear models and alternatives: For logistic regression or other non-linear models, traditional R^2 is not appropriate;
Usage: The forklaringsgrad is commonly used to assess model fit and to compare alternative specifications on