Skip to Main Content
Table 3. 
A linear regression predicting the difference in Log W (Cards minus Computers) from demographic and task factors.
Residuals:
Min1QMedian3QMax
−2.4145 −0.3365 0.1191 0.4094 1.3290 
 
Coefficients: 
 Estimate SE t value Pr( >|t|) 
(Intercept) −0.28733 0.08092 −3.551 0.000528 *** 
Education 0.05106 0.01663 3.071 0.002579 ** 
Comp.First.sum −0.38043 0.10809 −3.519 0.000589 *** 
scale(Age) 0.01967 0.05797 0.339 0.734911 
Gender1 −0.09847 0.05915 −1.665 0.098286  
Residuals:
Min1QMedian3QMax
−2.4145 −0.3365 0.1191 0.4094 1.3290 
 
Coefficients: 
 Estimate SE t value Pr( >|t|) 
(Intercept) −0.28733 0.08092 −3.551 0.000528 *** 
Education 0.05106 0.01663 3.071 0.002579 ** 
Comp.First.sum −0.38043 0.10809 −3.519 0.000589 *** 
scale(Age) 0.01967 0.05797 0.339 0.734911 
Gender1 −0.09847 0.05915 −1.665 0.098286  

Note: lm(formula = CardsMinusComputers.lg ∼ Education + Comp.First.sum + scale(Age) + Gender, data = d). p < .1. *p < .05. **p < .01. ***p < .001.

Close Modal

or Create an Account

Close Modal
Close Modal