highly significantp = 1.96 × 10 −15
Multiple Regression Analysis Multiple regression analysis yielded an overall highly significant result ( F = 7.97, df = 13,1154, p = 1.96 × 10 −15 , multiple R 2 = 0.082).
Multiple Regression Analysis Multiple regression analysis yielded an overall highly significant result ( F = 7.97, df = 13,1154, p = 1.96 × 10 −15 , multiple R 2 = 0.082).
Surprisingly, positive partial multiple regression coefficients (one significant, and one marginally non-significant) were returned for AQ-Attention Switching and AQ-Attention to Detail, indicating that higher scores for these subscales predicted higher RMET scores.
Weakly significant coefficients were also found for AQ-Communication, and SPQ-Odd Speech, both negative in direction.