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 = 0.1 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VIVIANI Elia | 67 |
| 2 | WALSCHEID Max | 90 |
| 3 | MARECZKO Jakub | 67 |
| 4 | BAUHAUS Phil | 75 |
| 5 | GIBBONS Ryan | 70 |
| 6 | PHILIPSEN Jasper | 75 |
| 7 | HALVORSEN Kristoffer | 69 |
| 8 | BEVIN Patrick | 75 |
| 9 | STORER Michael | 63 |
| 10 | SAGAN Peter | 78 |
| 11 | VAN POPPEL Danny | 82 |
| 12 | HOELGAARD Daniel | 77 |