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 = 0.2 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CASPER Jimmy | 69 |
| 2 | STREEL Marc | 69 |
| 3 | CAPPELLE Andy | 71 |
| 4 | COOKE Baden | 75 |
| 5 | KOERTS Jans | 78 |
| 6 | BOONEN Tom | 82 |
| 7 | SCHEIRLINCKX Bert | 67 |
| 8 | DETILLOUX Christophe | 62 |
| 9 | PEERS Chris | 73 |
| 12 | GARDEYN Gorik | 75 |
| 13 | EECKHOUT Niko | 73 |
| 14 | DE CLERCQ Hans | 80 |
| 17 | STEELS Tom | 73 |
| 19 | PRONK Matthé | 73 |
| 26 | SENTJENS Roy | 75 |
| 27 | MIFUNE Masahiko | 70 |