Table 5. Best models explaining distance moved (m) by brown bears in Sweden after being approached by humans.

Model		AICC	ΔAICC	Wi(M)
1	Activity + family status + number of observers + sighting distance + activity *: family status	803.20	0.00	0.34
2	Activity + family status + number of observers + passing distance + sighting distance + activity * family status + passing distance: sighting distance	804.20	0.97	0.21
3	Activity + family status + number of observers + passing distance + sighting distance + activity * family status + passing distance: number of observers + passing distance * sighting distance	804.40	1.17	0.19
4	Activity + family status + number of observers + passing distance + sighting distance + activity * family status	805.00	1.77	0.14
5	Activity + family status + number of observers + passing distance + sighting distance + activity * family status + passing distance * number of observers	805.10	1.92	0.13
Wi(V):	Activity (1.00), family status (1.00), number of observers (1.00), passing distance (0.66), sighting distance (1.00), activity * family status (1.00), passing distance * number of observers (0.32), passing distance * sighting distance (0.40)

Resulting candidate models with ΔAIC_C < 2 after model dredging. We show AIC_C values, differences in AIC_C values (ΔAIC_C) and AIC_C weights for models (W_i(M)) and variables (W_i(V)). The “+” symbol indicates inclusion of a variable in the models without an interaction with other variables, whereas the “*” symbol indicates interactions between the variables included.