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Table 3 Correlation Cutoff important variables for the internal and external data.

From: Prediction of Stress Increase at Ultimate in Unbonded Tendons Using Sparse Principal Component Analysis

Variable

Internal data

External data

Correlation with \(\Delta f_{ps}\)

p-value

Important

Correlation with \(\Delta f_{ps}\)

p-value

Important

\(v_{ACI}\)

0.42

< 0.001

TRUE

0.77

< 0.001

TRUE

\(v_{AASHTO}\)

0.48

< 0.001

TRUE

0.57

< 0.001

TRUE

\(LT\)

0.51

< 0.001

TRUE

0.25

0.04

TRUE

\(L\)

− 0.06

0.45

FALSE

− 0.27

0.02

TRUE

\(h\)

0.28

< 0.001

TRUE

− 0.57

< 0.001

TRUE

\(b\)

− 0.17

0.02

TRUE

− 0.03

0.78

FALSE

\(d_{ps}\)

0.29

< 0.001

TRUE

0.24

0.048

TRUE

\(A_{ps}\)

− 0.51

< 0.001

TRUE

− 0.49

< 0.001

TRUE

\(f_{pu}\)

0.33

< 0.001

TRUE

− 0.22

0.07

FALSE

\(f^{\prime}_{c}\)

− 0.01

0.89

FALSE

0.52

< 0.001

TRUE

\(A_{s}\)

0.01

0.87

FALSE

− 0.53

< 0.001

TRUE

\(f_{y}\)

0.22

0.002

TRUE

− 0.23

0.054

FALSE

\(d_{s}\)

− 0.04

0.60

FALSE

− 0.14

0.26

FALSE

\(A_{s}^{'}\)

− 0.05

0.55

FALSE

− 0.35

0.003

TRUE

\(d_{s}^{'}\)

− 0.08

0.29

FALSE

− 0.14

0.25

FALSE

\(f_{pe}\)

0.06

0.46

FALSE

0.35

0.003

TRUE

\(E_{ps}\)

− 0.08

0.27

FALSE

0.09

0.44

FALSE

\(\Delta f_{ps}\)

1.00

0.00

TRUE

1.00

0.00

TRUE