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. Author manuscript; available in PMC: 2009 Nov 3.
Published in final edited form as: Lang Learn Dev. 2008 Apr 1;4(2):122–156. doi: 10.1080/15475440801922115

Table 3.

Multiple regression models for consonant accuracy values in different vocalic environments plotted on y-axis in Figure 3. Significant p-values are in bold.

1) Model for Cantonese: F (2,32) = 11.01, R2 = 0.41, p < 0.001
Coefficient for: Estimate Std. Error t-value p-value
Intercept 99.8 9.28 10.76 <.001
Log freq of CV in Cantonese 3.16 1.95 1.623 0.1
Ave fr rank, other 3 lgs. −0.18 0.05 −3.66 <.001
2) Model for English: F (2,53) = 23.56, R2 = 0.58, p < 0.001
Coefficient for: Estimate Std. Error t-value p-value
Intercept 158.54 15.15 10.45 < 0.001
Log freq of CV in English 14.31 2.47 5.79 < 0.001
Ave fr rank, other 3 lgs. −0.09 0.07 −1.22 0.226
3) Model for Greek: F (2,55) = 9.87, R2 = 0.26,p < 0.001
Coefficient for: Estimate Std. Error t-value p-value
Intercept 86.23 7.83 11.01 < 0.001
Log freq of CV in Greek 0.91 1.31 0.69 0.49
Ave fr rank, other 3 lgs. −0.16 0.04 −3.44 0.001
4) Model for Japanese: F (2,46) = 3.37, R2 = 0.13,p = 0.04
Coefficient for: Estimate Std. Error t-value p-value
Intercept 76.93 10.20 7.54 < 0.001
Log freq of CV in Japanese 1.86 2.21 0.84 0.40
Ave fr rank, other 3 lgs. −0.12 0.07 −1.73 0.09