Figure 2 shows a striking relationship between locomotor activity and luminance levels (R2 = 0.72, p = 0.0001, n = 9 individuals, regression analysis for polynomial third degree equation).
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.
Growth rates of small AAAs in patients kept under surveillance were calculated by individual linear regression analysis, using all observations.
For these relevant factors, two quantitative methods were applied to quantify the impact of an individual factor: regression analysis and computer simulation.
Experimentally observed data were utilized to provide a composite σ0 equation model accounting for individual effects in regression analysis.
These gender differences, as well as male competitive generosity in Mug, are supported by convergent evidence from a random (individual) effect GLS regression analysis (with robust standard errors clustered by group, see, SI: Table S2).
The individual participant multiple regression analysis was carried out using the general linear model (GLM) [53] and resulted in a t-based map (SPM-t) corrected for multiple comparisons at the cluster level using a Monte Carlo simulation ([54], [55], see supporting file S1, p<0.05), leading to a cluster threshold K>16 voxels in the native resolution).
The goodness-of-fit for the individual patient specific regression analysis was evaluated by the adjusted coefficient of determination (adjusted R) and the F statistic.
We then conducted individual simple linear regression analysis using PCMH-A scores for each change concept as the dependent variable, and time and intensity of key activity implementation as the independent variables.
Stiles et al. calculated the following four parameters for each individual course using regression analysis: Intercept at the time of midtreatment (midtreatment intercept), the linear trend (slope), the quadratic trend (curve), and the variability (root-mean-square-error, RMSE, which can be understood as the deviation of the raw values from the fitted curve).
