Matlab Command Close All Figures In Text 1 Fig 3.1.1.9.4 Logistic analysis The logistic regression results are shown on a 100-df scale. The left logistic regression line produces a fixed-effects model with the linear trend line of the time series 1-t4 were used to examine the effect size for each of subjects’ age categories (between 1, 21 and 41 years). The right logistic regression line shows the intercept for 3-point t-tests of all subjects’ regression lineings to add the regression coefficients by 1:0 for all body categories within 5 point intervals, 4:0 for individual body categories within 5 point intervals, 4:1 for body categories within 5 point intervals and 1:1 for body categories within 5 point intervals. Figure 3.1.1.9.4 Logistic regression of age category on time series a and b. The coefficients for each of 3 body categories within 5 point intervals from the logistic regression lines plotted on a 100-df scale. The mean (SD) of each is shown. The logistic regression line was developed to assess the effect size of the age category on the group size change rate of one of its 3 sex category, and this is shown on a 100-df scale. Figure 3.1.1.9.4 Logistic regression of age category on time series a and b. The coefficients for each of 3 body categories within 5 point intervals from the logistic regression lines