Table 4 A model summary with linear regression coefficients.

From: Exploring water-absorbing capacity: a digital image analysis of seeds from 120 wheat varieties

Coefficients

Term

Coef

SE Coef

95% CI

T-value

P-value

VIF

Constant

0.4957

0.0895

(0.3185, 0.6730)

5.54

 < 0.001

 

Wt

0.2731

0.0444

(0.1851, 0.3610)

6.15

 < 0.001

1.2

W

0.03662

0.0079

(0.02098, 0.05226)

4.64

 < 0.001

1.52

CS

 − 0.753

0.126

(− 1.003, − 0.504)

 − 5.98

 < 0.001

1.18

DS

 − 0.1748

0.0387

(− 0.2514, − 0.0982)

 − 4.52

 < 0.001

1.48

Model summary

S

R-sq

R-sq (adj)

PRESS

R-sq (pred)

AICc

BIC

0.03635

47.08%

45.24%

0.163327

43.12%

 − 447.31

 − 431.33

Analysis of variance

Source

DF

Seq SS

Contribution (%)

Adj MS

F-value

P-value

Regression

4

0.13518

47.08

0.033794

25.58

 < 0.001

wt

1

0.06756

23.53

0.049995

37.84

 < 0.001

W

1

0.0111

3.87

0.028417

21.51

 < 0.001

CS

1

0.0295

10.27

0.0472

35.72

 < 0.001

DS

1

0.02702

9.41

0.027016

20.45

 < 0.001

Error

115

0.15195

52.92

0.001321

  

Total

119

0.28713

100.00

   
  1. Durbin-Watson Statistics = 1.002 | VIF: variation inflation factor; trait legends are same as in Table 1.
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