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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