Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.3 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AZMAN Muhamad Zawawi | 57 |
| 7 | CAHYADI Aiman | 52 |
| 8 | KOISHI Yuma | 62 |
| 9 | ASO Keisuke | 67 |
| 12 | CHOE Hyeong Min | 63 |
| 15 | ABDURRAHMAN Muhammad | 56 |
| 19 | IRAWAN Jefri | 51 |
| 20 | EYOB Metkel | 61 |
| 22 | YUDHA Muhammad | 51.5 |
| 24 | WIJAYA Endra | 58 |
| 26 | TOKUDA Suguru | 65 |
| 34 | MANULANG Robin | 59 |
| 37 | MONIER Damien | 75 |
| 52 | GOH Choon Huat | 54 |
| 56 | OKAMOTO Hayato | 65 |
| 64 | MAZUKI Nur Amirul Fakhruddin | 57 |