STATA result
What Is the Major Factor Affect the Total Points ?
Jiayang GU
Tendency: Players in the league shot three more
30 teams in the league.
Pick and study top five scored players for each team
Collect 2015-2016 season and 2016-2017 season data
Totally: 30(teams)*5(players)*2(seasons)=300 Observations
Prediction: PTSit= GPit+FGit+FTit+Kit
Dependent Variable: PTS(total points gained by each player in a season)
Independent variables: GP(game played)
FG (field-goal %)
FT (Free throw %)
K (three-point shot %)
Other control variables: FTM/G (Free throw made/game)
FTA/G (Free throw attempt/game)
Data
| PTS | GP | FG% | 3FG% | FT% | |
| Mean | 823.833 | 51.253 | 0.473 | 0.352 | 0.786 |
| Median | 784.5 | 57 | 0.461 | 0.361 | 0.811 |
| Standard Deviation | 407.207 | 17.155 | 0.056 | 0.1283 | 0.1024 |
| Minimum | 12 | 1 | 0.38 | 0 | 0.286 |
| Maximum | 1994 | 82 | 0.699 | 1 | 1 |
| 25th percentile | 604 | 49 | 0.44 | 0.333 | 0.743 |
| 75th percentile | 1025 | 61 | 0.642 | 0.396 | 0.852 |
TEAM_ID & player_id result
| (1) | (2) | (3) | |
| VARIABLES | PTS | PTS | PTS |
| GP | 21.882*** | 21.882*** | 18.500* |
| [1.994] | [1.994] | [1.571] | |
| FG | 1506.385** | 1506.385** | -712.405 |
| [649.163] | [649.163] | [760.659] | |
| FT | 1298.667*** | 1298.667*** | 2198.426 |
| [313.910] | [313.910] | [684.526] | |
| K | 579.457** | 579.457** | 165.283 |
| [240.024] | [240.024] | [131.656] |
| Constant | -2450.498*** | -2230.070*** | -1580.969 |
| [555.313] | [537.010] | [582.180] | |
| Observations | 143 | 143 | 143 |
| R-squared | 0.606 | 0.565 | 0.996 |
| Number of team_id | 30 | ||
| Number of player_id | 138 |
Conclusion: None of these variables are matter . Only one thing is correct which is GP