. 2021 Aug 18;9:e12005. doi: 10.7717/peerj.12005

Table 3. Best estimates of the slopes (m) and y-intercepts (c), and associated uncertainties ( $δ m$ and $δ c$ ), for the significant linear regressions (assuming a common uncertainty in all y measurements).

The number of data points in each regression is indicated in column n, and the relative error for predicted leaf water potential based on uncertainties in m and c is shown in column $δ Y$ /Y.

Crop	Date	Irrigation^†	n	m (δm)	c (δc)	δY/Y
Wheat	Apr. 12	F	8	−31.56 (3.63)	19.88 (2.52)	2.52
Corn	Jun. 7	D	9	29.55 (3.90)	−21.71 (2.68)	4.53
	Jun. 7	F	9	28.85 (10.37)	−22.15 (7.54)	12.82
	Jun. 11	D	9	23.18 (7.18)	−16.40 (4.55)	5.19
Cotton	Aug. 9	D	9	5.51 (1.56)	−5.63 (0.75)	0.50
	Aug. 9	F	9	5.05 (1.49)	−5.71 (0.85)	0.60
	Aug. 9	D/F	18	4.07 (0.93)	−5.04 (0.49)	0.34

Note:

^†

“D” and “F” represent “deficit” and “full” irrigation.

Table 3. Best estimates of the slopes (m) and y-intercepts (c), and associated uncertainties (δm and δc), for the significant linear regressions (assuming a common uncertainty in all y measurements).

Table 3. Best estimates of the slopes (m) and y-intercepts (c), and associated uncertainties ( $δ m$ and $δ c$ ), for the significant linear regressions (assuming a common uncertainty in all y measurements).