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 = 0.9 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CAHYADI Aiman | 52 |
| 4 | OKAMOTO Hayato | 65 |
| 18 | IRAWAN Jefri | 51 |
| 30 | WIJAYA Endra | 58 |
| 42 | AZMAN Muhamad Zawawi | 57 |
| 43 | EYOB Metkel | 61 |
| 44 | YUDHA Muhammad | 51.5 |
| 46 | KOISHI Yuma | 62 |
| 49 | TOKUDA Suguru | 65 |
| 50 | ASO Keisuke | 67 |
| 51 | CHOE Hyeong Min | 63 |
| 53 | GOH Choon Huat | 54 |
| 54 | MANULANG Robin | 59 |
| 56 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 61 | MONIER Damien | 75 |
| 64 | ABDURRAHMAN Muhammad | 56 |