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