Sentence examples for individual linear regression from inspiring English sources

Individual linear regression analysis showed that modelled muscle outputs accurately predicted EMG data, with average errors of 8% for molar and 15% for incisor biting.

Individual linear regression models were run in which child BMI z score and child diet quality indicators were dependent variables and HFE variables and child/parent characteristics were independent variables of interest.

Missing diameters of trees for certain dates were derived from a tree individual linear regression of the diameters over time, limiting the slope to positive numbers, i.e., not allowing the tree diameter to shrink.

To further characterize the influence of the IM injection of BMCs, with or without fibrin, on stroke work, we plotted the individual linear regression curves for each group of the stroke work as a function of increment in systolic pressure (Figure 6).

This was performed using individual linear regression analyses controlling for PMA at MRI.

Individual linear regression analyses controlling for PMA at MRI revealed multiple predictors of GI and CSA (Table 2).

The dependence of fullness on gastric volumes was assessed at individual level using the absolute values and reporting slope, R and P-value of the individual linear regressions.

Individual linear regressions of length/yolk sac area on degree-days were fitted for each deme in every temperature (see Additional files 2 and 3).

Coefficients represent the results of individual linear regressions with PAM level as predictor variable for each health-related outcome while controlling for gender, age, education level, ethnicity, spoken language at home, disease duration and general health status.

The web-based predictor of the amino acid compositions (http://folk.uib.no/agoncear/GC_AA/) calculates amino acid frequencies using the tradeoff model (described in Results section) and individual linear regressions for each residue type.

Spermatozoa counts increased with age for uninfected individuals (linear regression with quadratic term, factor ("Age") ^2, df = 1, F = 10.35, P = 0.001 and factor "Age" df = 1, F = 3.39, P = 0.07, Figure 6, left panel), but not for infected individuals (linear regression, factor "Age", df = 1, F = 0.05, P = 0.82, Figure 6, right panel).