Sentence examples for prediction of the variable from inspiring English sources

Miner's linear damage summation model provided a reasonable, yet slightly unconservative, prediction of the variable amplitude loading tests.

On the basis of a given (limited) set of measurements, the prediction of the variable realization in any point of the considered space is of interest.

The experiments were designed by response surface methodology and quadratic model was used to prediction of the variables.

As a result, the proposed dynamic model of ozonation with pollutants is useful for proper prediction of the variables of an ozonation system in a countercurrent bubble column.

However, the evaporating pressure was found to be the model bottleneck so as to increase the model accuracy the prediction of this variable has to be enhanced.

Predictors are entered in steps or blocks with each predictor or a set of predictors being assess in terms of what it/they add(s) to the prediction of the dependent variable, after the previous variables have been controlled for [ 29].

Hence, they assess the independent contributions of each independent variable to the prediction of the dependent variable.

The other statistics presented are the unstandardized (B) regression coefficients, the standard error of regression coefficients (SE B), and the standardized beta regression coefficients at Step 2. The estimated β coefficients indicate the relative contribution of each independent variable in the prediction of the dependent variable (agitation).

Among these, the variable importance plot (VIP) and percent increase in mean squared error (MSE) provide relative importance of the independent variables in the prediction of the dependent variable.

Thus, multiple regression analysis provides a means of assessing the degree and the character of the relationship between the independent variables and the dependent variable; the regression coefficients indicate the relative importance of each of the independent variables in the prediction of the dependent variable (Sekaran and Bougie 2013).

The first is to identify all the important variables, even with some redundancy, highly related to the dependent variable for explanatory and interpretation purpose, and the second is to find a sufficient parsimonious set of important variables for good prediction of the dependent variable [39, 42].