Table 3.
Model summary for the binary logistic regression analysis ranked according to the delta Akaike Information Criterion and Akaike weights
Predictors
LL
df
AICc
∆AIC
w
i
~ assists + def_reb + field_goal + fouls + fouls against + steals + turnovers
-103.61
8
223.69
<0.01
0.28
~ assists + blocked_shots + def_reb + field_goal + fouls + fouls against + steals + turnovers
-102.97
9
224.53
0.83
0.18
~ assists + def_reb + field_goal + fouls + fouls against + off_reb + steals + turnovers
103.17
9
224.95
1.25
0.15
~ assists + blocked_shots + def_reb + field_goal + fouls + fouls against + off_reb + steals + turnovers
-102.60
10
225.94
2.24
0.09
~ blocked_shots + def_reb + field_goal + fouls + fouls against + steals + turnovers
-105.07
8
226.63
2.93
0.06
~ def_reb + field_goal + fouls + fouls against + off_reb + steals + turnovers
-105.1
8
226.67
2.97
0.06
Null (~1)
-216.26
1
434.53
210.830
<0.01
LL, log likelihood; df, degrees of freedom; AICc, Akaike Information Criterion; ∆AIC, delta AIC; w
i
, Akaike weight; def_reb, defensive rebounds; field_goal, field goal percentage; off_reb, offensive rebounds.