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Table 2. 
Multiple Regression of DA on All Bar Conditions (2Red, 4Red, and 2Blue)
Multiple Regression of DA on Bar Conditions
ModelF Changedfprrstprs
2Red alone 
 2Red       −.08 −.08 −0.43 .67 
  
2Red and 4Red 0.02 1, 27 .90         
 2Red       −.08 −.08 −0.43 .67 
 4Red       −.03 −.03 0.14 .89 
  
All predictors 3.97 1, 26 .06         
 2Red       −.08 .05 0.29 .77 
 4Red       −.03 .26 1.42 .17 
 2Blue       −.25 −.36 −1.99 .06 
Multiple Regression of DA on Bar Conditions
ModelF Changedfprrstprs
2Red alone 
 2Red       −.08 −.08 −0.43 .67 
  
2Red and 4Red 0.02 1, 27 .90         
 2Red       −.08 −.08 −0.43 .67 
 4Red       −.03 −.03 0.14 .89 
  
All predictors 3.97 1, 26 .06         
 2Red       −.08 .05 0.29 .77 
 4Red       −.03 .26 1.42 .17 
 2Blue       −.25 −.36 −1.99 .06 

Zero-order correlations for each predictor (none of which correlates significantly with DA) alone as well as partial correlation coefficients with all three predictors included in the model together are provided. Omnibus F tests are not provided for single predictors, because these are equivalent to the t test of the correlation coefficient against zero The t statistics and associated p values for the partial correlation coefficients are also provided. Of note, though, none of the overall models is significant, although CDA amplitudes in the 2Blue condition marginally predict unique variance in DA.

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