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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN MELSEN Kévin | 77 |
| 2 | BURGHARDT Marcus | 75 |
| 3 | DELFOSSE Sébastien | 73 |
| 4 | SALOMEIN Jarl | 80 |
| 5 | LABORIE Christophe | 67 |
| 6 | DUFRASNE Jonathan | 70 |
| 7 | ÁVILA Edwin | 61 |
| 8 | HELVEN Sander | 74 |
| 9 | DERNIES Tom | 68 |
| 10 | PREMONT Christophe | 69 |
| 11 | JEANDESBOZ Fabrice | 69 |