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 = 0.4 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | NORDHAUG Lars Petter | 63 |
| 6 | VELITS Peter | 63 |
| 7 | RASCH Gabriel | 72 |
| 8 | KESSIAKOFF Fredrik | 61 |
| 9 | HEGREBERG Morten | 72 |
| 10 | LUND Anders | 65 |
| 11 | MAMOS Philipp | 72 |
| 15 | SØRENSEN Chris Anker | 64 |
| 19 | LARSEN Tom | 71 |
| 21 | VELITS Martin | 70 |
| 30 | HOOGERLAND Johnny | 65 |
| 44 | VERVECKEN Erwin | 78 |
| 45 | LINDGREN Emil | 59 |
| 49 | KLOSTERGAARD Kasper | 69 |