We plotted the mean responses across participants for each condition/pose and analyzed the data using logistic regression to explore how the stimulus properties affected the probability that participants selected each of the three possible responses. Data for each response option were fit separately, resulting in three regression models: one for perceived floating, one for flat on the ground, and one for tilted. Each model included fixed effects for shadow (categorical yes/no), ground texture (categorical as yes/no), and tilt angle (continuous). Individual participants were modelled as random effects, and no interactions were included. Coefficient estimates were exponentiated so as to interpret them as odds ratios. Odds ratios indicate the change in probability of a given response that was associated with changing the value of the fixed effect. Odds ratios close to 1 indicate that variations in the fixed effect were not strongly associated with a change in responses (e.g., the odds of a floating response were very similar whether or not shadows were present). Ratios of greater than 1 indicate an associated increase in the probability of a particular response, and ratios less than 1 indicate a decrease in the probability of a particular response. We expected the presence of shadows and floor tile to be associated with a decrease in the probability of perceived floating and an increase in the probability of perceiving that the box was flat on the ground. A priori, we expected the tilt angle of the box to decrease the probability that the box was perceived flat on the ground and increase the probability that the box was perceived tilted, but we did not have strong hypotheses for how tilt angle might modulate the probability of floating. For each variable in the models, we report the estimated odds ratio, associated model coefficients, 95% confidence interval, t statistic, and p value.