Table 1. Principal assumptions tests for regression model diagnostics
Principal Assumptions Tests Residual Significant 2-tailed (Spearman’s rho) Tolerance VIF DW
Normality (Kolmogorov-Smirnov) 0.900*        
Heteroscedasticity          
  Students’ autonomous motivation   0.442*      
  Tutors’ autonomy support for students   0.161*      
Multicollinearity          
  Students’ autonomous motivation     0.559 1.790  
  Tutors’ autonomy support for students     0.559 1.790  
Autocorrelation         1.823

*p>0.05 residual value normally distributed and had no heteroscedasticity;

†Tolerance value > 0.1;

‡VIF (variance inflation factor)

Int J Med Educ. 2016; 7:417-423; doi: 10.5116/ijme.5843.1097