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. 2017 Mar 28;119(8):1343–1352. doi: 10.1093/aob/mcx031

Table 2.

Multiple regression models describing the relationship between the C–S–R dimensions and the parameters: total dry mass of plant (TDM), flowering start under laboratory conditions (FlL), rosette diameter (RD) and the number of seeds per plant (Seeds)

C dimension S dimension R dimension
Equation = –2·048 + 1·163 × TDM – 0·002 × FlL + 0·0016 × RD – 0·002 × Seeds = 0·135 – 0·852 × TDM – 0·040 × FlL + 0·042 × RD – 0·021 × Seeds = –2·324 – 0·338 × TDM + 0·026 × FlL – 0·035 × RD + 0·025 × Seeds
Fit of model R2 = 0·86, P = 0·001 R2 = 0·53, P = 0·108 R2 = 0·60, P = 0·062
Total dry mass of plant (TDM; g) P = 0·002 P = 0·875 P = 0·943
Flowering start lab (FlL; days) P = 0·036 P = 0·030 P = 0·087
Rosette diameter (RD; mm) P = 0·457 P = 0·319 P = 0·342
No. of seeds (Seeds) P = 0·001 P = 0·038 P = 0·011

P-values for variables that contribute significantly to the regression models are highlighted in bold font.