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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KEIZER Martijn | 72 |
| 2 | DELFOSSE Sébastien | 73 |
| 3 | HONIG Reinier | 61 |
| 4 | TRENTIN Matteo | 74 |
| 5 | HANSEN Adam | 72 |
| 6 | DUIJN Huub | 73 |
| 7 | JUUL-JENSEN Christopher | 73 |
| 9 | HAAS Nathan | 71 |
| 10 | LAMMERTINK Steven | 68 |
| 13 | LAMPAERT Yves | 75 |
| 14 | VAN ZANDBEEK Ronan | 72 |