Sentence examples for resultant variables from inspiring English sources

To assist in analysis of the NOS variables, the 38 items in the NOS scale were reduced to 9 factors using factor analysis (maximum likelihood method) and the resultant variables re-examined in the same way.

y = the resultant variable.

Consequently, if the resultant variable is strongly correlated with the factor (the factor has high factor loading at the place of the resultant variable) and - within the same factor - an explanatory variable is highly correlated with the factor, then the explanatory variable is also highly correlated with the resultant variable.

The remaining factors are uncorrelated (are of 0 weights) with the resultant variable (Jahn and Vahle 1968).

Hence, it is advisable to combine all the weights of the factors together with the resultant variable into one factor.

Namely, it is effective to rotate so that only one factor has big weight with the resultant variable.

After performing a factor analysis, a special transformation of the retained factors was made to discover to what degree the above-mentioned explanatory variables affect the resultant variable and to give a rank of their influence (Jahn and Vahle 1968).

First, a factor analysis was applied to the initial datasets consisting of 9 variables (8 explanatory variables including 4 climatic variables in the past and the same 4 climatic variables on the actual day, and 1 resultant variable defined by the daily pollen concentration of the given taxa) transforming the original variables to fewer variables.

The basic idea is that a causal relationship between two properties is specific when many different values in a causal property bring about many different and specifically different values of a resultant variable (the causal relationships instantiate something like a mathematical function).

Splenectomies are performed in swine haemorrhage models because of the spleen's distensibility and the resultant variable amounts of sequestered blood.

The results for each item were first dichotomized ('definitely disagree'mostlystly disagree' and 'neither agree nor disagree' were coded as 'mostlyostly agree' and 'definitely agree' were coded as '2') and the resultant variable was used as the dependent variable in the logistic regression models.