Spss Model Summary. About 47 of the total variance is explained by the two component model 35 by the first dimension and 12 by the second. Error of the square square estimate 1 6990 489 479 7 14817 a predicto.
R r is the square root of r squared and is the correlation between the observed and predicted values of dependent variable. R the multiple correlation coefficient is the linear correlation betweenthe observed and model predicted values of the dependent variable. Error of the square square estimate 1 6990 489 479 7 14817 a predicto.
In the present case promotion of illegal activities crime rate and education were the main variables considered.
Results regression i model summary. The second table generated in a linear regression test in spss is model summary. Model spss allows you to specify multiple models in a single regression command. Spss fitted 5 regression models by adding one predictor at the time.
