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Table 4 Linear regression for semantic average time and its coefficients

From: Can a lexical decision task predict efficiency in the judgment of ambiguous sentences?

  Beta T Sig. Correlation coefficients Tolerance
Zero-order Partial Semi-partial
Semantic avg. time model 1 (R2 = .54; adjusted R2 = .52)
 Avg. time on quasi-words .732 5.893 .000 .732 .732 .732 1.000
Semantic avg. time model 2 (R2 = .60; adjusted R2 = .57)
 Avg. time on quasi-words 1.639 3.759 .001 .732 .572 .441 .072
 Avg. time on pseudo-words − 0.941 − 2.158 .039 .637 − .372 − .253 .072
Semantic avg. time model 3 (R2 = .67; adjusted R2 = .63)
 Avg. time on quasi-words 1.710 4.195 .000 .732 .621 .459 .072
 Avg. time on pseudo-words − 0.958 − 2.356   .637 − .407 − .258 .072
 Correct pct. on reg. words − 0.259 − 2.311 .026 .028 − .087 − .400 − .253 .955