Table 2.

Correlations between feedback signal parameters and apple pick performance. Only parameters that correlate highly to the performance are considered valid contributors.

Signal decline
Slope of a linear fitted line based on trials mean (lowest point)	r = -.61, n = 20, p = .004 **
Mean number of scans until apple picked over trials	r = -.67, n = 21, p = .001 **
Slope based on the decrease (until below ladder) divided by the number of scans	r = -.69, n = 23, p < .001 **
Slope of a linear fitted line based on trials mean (first below ladder).	r = -.69, n = 18, p = .001 **
Signal elevation
Slope of a linear fitted line based on trials mean (highest point)	r = -.20, n = 22, p = .364
Mean number of scans until apple picked over trials	r = -.56, n = 18, p = .015 *
Slope based on the decrease (until below ladder) divided by the number of scans	r = .29, n = 19, p = .226
Slope of a linear fitted line based on trials mean (first above ladder).	r = .57, n = 16, p = .022 *
Undershoot
Average value of undershoots	r = .42, n =23, p = .044 *
Average of deepest undershoots	r = .31, n = 24, p = .138
Average of undershoot area under curve	r = .02, n = 19, p = .941
Overshoot
Average value of overshoots	r = .47, n = 18, p = .048 *
Average of highest overshoots	r = .28, n = 19, p = .252
Average of overshoot area under curve	r = .06, n = 16, p = .829

^**Correlation is significant at the 0.01 level (2-tailed)

^*Correlation is significant at the 0.05 level (2-tailed)