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 = -1.3 * weight + 126
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CÔTÉ Pier-André | 74 |
| 3 | MCNULTY Brandon | 69 |
| 4 | BARBIER Pierre | 69 |
| 6 | ONO Kotaro | 57 |
| 9 | VILLALOBOS Luis | 66 |
| 12 | GARRISON Ian | 76 |
| 18 | COSTA Adrien | 61 |
| 37 | HOEHN Alex | 63 |
| 40 | GERVAIS Laurent | 72 |
| 43 | GEE Derek | 72 |
| 49 | STITES Tyler | 60 |
| 53 | HERNANDEZ Michael | 74 |
| 77 | VOIGT Eric | 69 |
| 91 | ROBERGE Adam | 72 |
| 106 | CONLY Lukas | 63 |
| 114 | ISHIGAMI Masahiro | 58 |