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 + 56
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MANEEPHAN Jutatip | 59 |
| 6 | KITCHEN Lauren | 60 |
| 8 | LUO Xiao Ling | 68 |
| 9 | DIAO Xiao Juan | 59 |
| 13 | NONTASIN Chanpeng | 58 |
| 14 | SOMNET Jupha | 54 |
| 27 | HSIAO Mei Yu | 58 |
| 29 | SOMRAT Phetdarin | 56 |
| 45 | YONAMINE Eri | 51 |
| 51 | HATTELAND LIMA Tone | 65 |