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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BALLABIO Giacomo | 70 |
| 3 | DE JONG Timo | 72 |
| 4 | KNECHT Noah | 66 |
| 5 | NOLDE Tobias | 79 |
| 6 | HEIDERSCHEID Colin | 73 |
| 7 | KOCKELMANN Mathieu | 70 |
| 8 | RONHAAR Pim | 60 |
| 9 | WIRTGEN Tom | 77 |
| 10 | WILLEMS Thimo | 67 |
| 12 | DHAEYE Enrico | 71 |
| 13 | STOSZ Patryk | 70 |
| 15 | COLEMAN Zak | 70 |