Spss Model Summary. It provides detail about the characteristics of the model. Includes step by step explanation of each calculated value.
The model summary table looks like below. Error of the square square estimate 1 6990 489 479 7 14817 a predicto. R the multiple correlation coefficient is the linear correlation betweenthe observed and model predicted values of the dependent variable.
R r is the square root of r squared and is the correlation between the observed and predicted values of dependent variable.
For simple regression r is equal to the correlation between the predictor and dependent variable. In the present case promotion of illegal activities crime rate and education were the main variables considered. Results regression i model summary. The adjusted r square column shows that it increases from 0 351 to 0 427 by adding a third predictor.
