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 = 1.6 * weight - 89
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEELDRAEYERS Kevin | 60 |
| 2 | SONNERY Blaise | 60 |
| 3 | MARTIN Dan | 59 |
| 4 | ROLLAND Pierre | 70 |
| 6 | CIEŚLIK Paweł | 65 |
| 7 | MEERSMAN Gianni | 63 |
| 14 | MASSON Christophe | 68 |
| 18 | CHEREL Mikaël | 65 |
| 23 | SCHULTZ Sam | 70 |
| 27 | KADRI Blel | 66 |
| 28 | BARLE Florent | 72 |
| 29 | POULHIÈS Stéphane | 75 |
| 32 | PEYROTON-DARTET Thomas | 65 |