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 |
ΔAIC |
wi |
~ 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; ΔAIC, delta AIC; w
i, Akaike weight; def_reb, defensive rebounds; field_goal, field goal percentage; off_reb, offensive rebounds.