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 = 0.4 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEERSMAN Gianni | 63 |
| 2 | HIVERT Jonathan | 62 |
| 3 | DE GREEF Francis | 77 |
| 4 | ROLLAND Pierre | 70 |
| 5 | EL FARES Julien | 62 |
| 6 | LE FLOCH Guillaume | 67 |
| 9 | VACHON Florian | 65 |
| 10 | THURAU Björn | 73 |
| 11 | POULHIÈS Stéphane | 75 |
| 13 | GODDAERT Kristof | 72 |
| 14 | MASSON Christophe | 68 |
| 15 | SCHORN Daniel | 72 |