Table 10.

Linear fit analysis for the inverse-linear logistic and linear model fit to all data sets.

Linear Model		Inverse-Linear Logistic Model
F statistic and its p value	Model R2	F statistic and its p value	Model R2
Experiment 1. Fixating @ 500 Hz: microsaccades
F (1,22349) = 3723, p < 0.01	R2 = 0.1431	F(1,22349) = 3723, p < 0.01	R2 = 0.1431
Experiment 2. Fixating @ 300 Hz: microsaccades
F (1,14148) = 1254, p < 0.01	R2 = 0.0814	F(1,14148) = 1254, p < 0.01	R2 = 0.0814
Experiment 3. Free Viewing @ 500 Hz: microsaccades
F (1,57029) = 10760, p < 0.01	R2 = 0.1588	F(1,57029) = 10760, p < 0.01	R2 = 0.1588
Experiment 3. Free Viewing @ 500 Hz: saccades
F (1,89018) = 92440, p < 0.01	R2 = 0.5094	F (1,89018) = 92440, p < 0.01	R2 = 0.5094
Experiment 3. Free Viewing @ 500 Hz: microsaccades and saccades
F(1,148567) = 99620, p < 0.01	R2 = 0.4014	F(1,148567) = 99620, p < 0.01	R2 = 0.4014