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 = -1.1 * weight + 89
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EECKHOUT Niko | 73 |
| 2 | OMLOOP Geert | 78 |
| 3 | TRAKSEL Bobbie | 72 |
| 4 | DE FAUW Dimitri | 77 |
| 5 | MEIRHAEGHE Filip | 70 |
| 8 | KEISSE Iljo | 72 |
| 9 | HOVELIJNCK Kurt | 75 |
| 10 | DEHAES Kenny | 73 |
| 12 | NEIRYNCK Kevin | 71 |
| 15 | CAPPELLE Andy | 71 |
| 16 | VANLANDSCHOOT James | 67 |
| 17 | VERBIST Evert | 73 |
| 18 | KUYCKX Jan | 68 |
| 25 | PARDINI Olivier | 68 |
| 27 | DE NEEF Steven | 75 |