Sentence examples for regression computations from inspiring English sources

The peak area responses were plotted against the corresponding concentration, and the linear regression computations were carried out by the least square method with the R software [ 17].

Only data acquired between 1 and 500 s were empirically found to be sufficient for regression calculation and computation to grade the degrees of wastewater's toxicity.

Multiple logistic regression and computation of predictive margins were used to estimate the probability of vaccination when controlling for all other independent variables.

Connection type is denoted by line color (see legend), and strength (line thickness) is weighted by linear regression-based computations of the functional association data in the databases indexed.

To account for multiple testing a conservative significance level of p ≤ .01 was used for correlation and regression analyses and computations of Steiger's Z. Correlation analyses yielded a positive association between the total CTQ score and attentional bias toward sad facial expression (see Fig.  1).

In the framework of regression models, the computation of present output is done as a linear combination of some pre-specified number of past outputs and moving average of random white Gaussian noise [3].

Statistical analysis included regression analysis and computation of the inter-rater reliability.

Multiple linear regression and g-computation formula were used in the analyses.

Therefore, in order to take full advantage of multiple forward regression, more efficient computation algorithms are required.

Multivariable logistic regression analyses with computation of Odds Ratios (OR) were performed with simple contrast to a reference group for each of the independent variables; age, sex, baseline pain group, SEI, smoking habits, and follow-up time.

3 Alternatively, we may condition on C by adding the variable to an unconditional logistic regression model: Whichever computation is used, deconfounding is a tradeoff between variance and bias, because the variance of the odds ratio always increases after conditioning.