Regressionsresultate

Regressionsresultate refers to the outputs or findings derived from a statistical regression analysis. This analysis aims to model the relationship between a dependent variable and one or more independent variables. The results provide quantitative insights into how changes in the independent variables are associated with changes in the dependent variable. Key components of regressionsresultate include the estimated coefficients for each independent variable, which indicate the direction and magnitude of the relationship, and their statistical significance, often reported as p-values.

Furthermore, regressionsresultate typically include measures of model fit, such as the R-squared value, which quantifies the proportion of variance in the dependent variable that is explained by the independent variables. The overall statistical significance of the regression model is also assessed, usually through an F-test. Residuals, the differences between observed and predicted values of the dependent variable, are also part of the analysis and are examined to check the assumptions of the regression model. These results are crucial for interpreting the model, making predictions, and drawing conclusions about the underlying relationships in the data. The interpretation of regressionsresultate requires careful consideration of the context, the data quality, and the assumptions underlying the chosen regression technique.