the Predicted R-Squared reveals how well the model forecast the response values, and in this case a values of 0.76 is certainly desirable.
In order to examine the conformity between predicted R-Squared and Adjusted R-Squared, the difference between these two values must be approximately less than 0.2, which for R1 0.04 that it is less than 0.2. Signal to noise ratio is show by Adequate Precision and the desirable ratio is greater than 4 which in the present study the value for R1 is 29.08.
R-squared prediction models that predict response values. And in this case 0.76 is certainly desirable. To study the concordance between predicted r-squared and adjusted r-squared differences between the two bills must be about less than 0.2, which for R1 0.04 is less than 0.2, signal to noise is expressed adequacy ratio and desirable than four. in the study, the R1 is 29.08.
The coefficient of determination adjusted (R2adj) 0.6545 from the table 5, and when determining the coefficient of determination predicting (R2pred) 0.4681 the coefficient variability (C.V.%) 8.74 and tolerances (PRESS) 0.26.
สัญญาณภัยทางอากาศดังขึ้นในขณะที่เรากำลังรับประทานอาหาร