This paper assumed that the inclination of the stagnant region in hopper flow is described by regression curves fitted to data from Brown and Richards.
The effect is described by regression coefficients for the interaction as −0.25 [95% confidence interval (CI), −0.47 to −0.07] and 0.21 (95% CI, 0.07 0.35), respectively (Table 4).
It is usually assumed that the fluxes of individuals between the subpopulations in a metapopulation are proportional to the sizes of the departure and arrival resource patches and to the inverse of the distance between these two patches, and therefore, can be described by a regression model, which ignores spatial heterogeneity of the landscape between the resource patches.
Count data may be described by a Poisson regression model.
The correlation coefficient R2 describes the proportion of the test data could be described by the developed regression model that is a value between 0 and 1.0.
The standard calibration curves for known amounts of ATP, ranging from 0.025 to 10.0 µmol/L, were linear (R>0.999) and could be described by the linear regression equation: y = 0.4992*x−0.0463 (n = 4, P<0.0001, r = 0.9997), in which y is the ATP concentration in micromoles and x is the chromatogram peak area.
For each value of F, the individual relationships between ω and T could be described by a linear regression and the values of ω0 and T0 for each load were determined by extrapolation from these individual regressions.
In the present study, the relationship between stiffness and torque could not be described by a linear regression from zero to TMVC in all the subjects, especially in the best jumpers.
In the present study, the T- S relationship in group L could be described by a linear regression) in agreement with the previous studies using the quick release test performed with the same device and protocol.
The torque-velocity relationships corresponding to single all-out sprints against low and high braking forces can be described by the same regression line (black continuous line in Figure 6).
