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 = 0.7 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN HYFTE Paul | 70 |
| 2 | VIERHOUTEN Aart | 71 |
| 3 | EECKHOUT Niko | 73 |
| 5 | HAMMOND Roger | 71 |
| 7 | LEUKEMANS Björn | 67 |
| 8 | HUNT Jeremy | 76 |
| 12 | STREEL Marc | 69 |
| 13 | SWEET Jay | 69 |
| 21 | SCHMITZ Bram | 77 |
| 22 | MIFUNE Masahiko | 70 |
| 23 | AMORISON Frédéric | 70 |
| 29 | KASHECHKIN Andrey | 70 |
| 30 | WAUTERS Marc | 73 |
| 31 | VERBRUGGHE Ief | 69 |
| 32 | WIGGINS Bradley | 76 |