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 = -0.6 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANEEPHAN Jutatip | 59 |
| 2 | CAMPBELL Teniel | 63 |
| 3 | KAJIHARA Yumi | 59 |
| 4 | ZABELINSKAYA Olga | 52 |
| 5 | KONONENKO Valeriya | 68 |
| 6 | REUSSER Marlen | 70 |
| 11 | SOMNET Jupha | 54 |
| 13 | KASENOVA Karina | 52 |
| 14 | SAIFUTDINOVA Natalya | 57 |
| 16 | NUNTANA Supaksorn | 55 |
| 21 | SOLOVEY Hanna | 56 |
| 22 | AHMAD JUMRY Nur Azrenna | 55 |