Analyte     Adj. R2    F        p-value     # Coefficients     # Sig.
CBCA     0.368     3.814     0.009         6                             2
CBDA     0.602     8.309     <0.0005     6                             5
CBNA     0.372     3.866     0.008         6                             2
Each varietal was also assigned a unique cultivar identifier (CULID), and then the cultivar identifiers were transformed and coded into new dichotomous variables to test for variance potentially attributable to cultivar. The four samples with unknown cultivars were not coded or included in the analysis. The four samples of CFX, CFX2, and CRS1 cultivars were encoded as a single group. A linear regression analysis with 0.05 significance was performed on each of the normally distributed variables with the cultivar-encoded variables used as coefficients.
The supplemental data addendum contains the model summary data, ANOVA, and coefficients of the regression for CBCA, CBDA, and CBNA using the dichotomous cultivar variables. A summary of each regression analysis done with cultivar (n = 30) is provided in Table 4.
Table 4: Phase 1 regression of analytes and cultivars