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The ANOVA (analysis of variance) table indicated that temperature and test duration were the most important factor effects, as expected.
The regression equation obtained from analysis of variance table was used for the prediction of weight loss.
The analysis of variance table is shown in Table 5.
For both analyses, precision of mapping QTL increased with sample size and QTL variance (table 2).
This model explained eight to eleven percent of variance (table 4).
Factor analysis led to two-factor solutions in both sexes, explaining approximately 50% variance (Table 7).
The two factor structure (MI and RS) jointly accounted for 59.81% of the variance (table 2).
The model gave a standard analysis of variance table and the corresponding regression coefficients.
The above decomposition is summarized in the analysis of variance table provided in Table 1.
For both analyses precision of estimates of QTL location increased with sample size and QTL variance (table 2).
Factor 2 mainly consisted of DMS and accounted for 23.2% of the total variance (table 3 and figure 2).
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