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 = -0.5 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SÁNCHEZ Luis León | 73 |
| 2 | GARCÍA Egoitz | 70 |
| 3 | BERHANE Natnael | 66 |
| 4 | GERDEMANN Linus | 71 |
| 5 | HABEAUX Grégory | 68 |
| 6 | JEANDESBOZ Fabrice | 69 |
| 7 | BAUGNIES Jérôme | 69 |
| 8 | SÉNÉCHAL Florian | 77 |
| 9 | ROBERT Fréderique | 68 |
| 10 | BERNAUDEAU Giovanni | 62 |
| 12 | CRAVEN Dan | 75 |
| 14 | EYOB Metkel | 61 |
| 15 | NIYONSHUTI Adrien | 63 |
| 19 | MAS Lluís | 69 |
| 20 | MINNAARD Marco | 65 |