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 = 0.9 * weight - 58
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NIJDAM Jelle | 70 |
| 3 | MARIE Thierry | 68 |
| 4 | BÖLTS Udo | 73 |
| 6 | FIGNON Laurent | 67 |
| 7 | WALTON Brian | 68 |
| 9 | HEPPNER Jens | 69 |
| 10 | HOLM SØRENSEN Brian | 77 |
| 14 | YATES Sean | 74 |
| 15 | MOREAU Francis | 77 |
| 16 | LEYSEN Bart | 75 |