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 = 0.8 * weight - 48
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE POOTER Dries | 66 |
| 3 | BOVEN Lars | 62 |
| 4 | GEßNER Jakob | 72 |
| 5 | KRAMER Jesse | 74 |
| 6 | MARSMAN Tim | 75 |
| 7 | ROMEO Iván | 75 |
| 10 | VAN DIJKE Tim | 74 |
| 11 | VERMOOTE Jelle | 73 |
| 13 | PLOWRIGHT Jensen | 80 |
| 15 | KOGUT Oded | 77 |
| 17 | VAN DE PAAR Jarne | 79 |