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 = 0.1 * weight + 27
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CÔTÉ Pier-André | 74 |
| 2 | BARBIER Pierre | 69 |
| 3 | COSTA Adrien | 61 |
| 4 | HERNANDEZ Michael | 74 |
| 9 | ONO Kotaro | 57 |
| 11 | VILLALOBOS Luis | 66 |
| 25 | HOEHN Alex | 63 |
| 29 | GERVAIS Laurent | 72 |
| 32 | GARRISON Ian | 76 |
| 36 | MCNULTY Brandon | 69 |
| 37 | STITES Tyler | 60 |
| 50 | GEE Derek | 72 |
| 70 | ROBERGE Adam | 72 |
| 82 | VOIGT Eric | 69 |
| 100 | CONLY Lukas | 63 |