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 = -2.2 * weight + 175
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCNULTY Brandon | 69 |
| 2 | COSTA Adrien | 61 |
| 3 | GEE Derek | 72 |
| 4 | GARRISON Ian | 76 |
| 5 | CÔTÉ Pier-André | 74 |
| 12 | GERVAIS Laurent | 72 |
| 15 | VILLALOBOS Luis | 66 |
| 20 | ROBERGE Adam | 72 |
| 34 | BARBIER Pierre | 69 |
| 35 | ISHIGAMI Masahiro | 58 |
| 36 | HERNANDEZ Michael | 74 |
| 46 | HOEHN Alex | 63 |
| 47 | STITES Tyler | 60 |
| 52 | VOIGT Eric | 69 |
| 64 | CONLY Lukas | 63 |
| 71 | ONO Kotaro | 57 |