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 = 0.6 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIRSANOV Sergey | 58 |
| 2 | VAN LEIJEN Joost | 73 |
| 6 | NORDHAUG Lars Petter | 63 |
| 7 | WILMANN Frederik | 69 |
| 13 | PEDERSEN Martin | 62 |
| 15 | JOVANOVIĆ Nebojša | 60 |
| 17 | BREEN Vegard | 74 |
| 20 | DIDIER Laurent | 68 |
| 28 | KRISTOFF Alexander | 78 |
| 40 | MEEUSEN Tom | 62 |
| 43 | LARSEN Tom | 71 |
| 59 | SCHMITZ Bram | 77 |
| 61 | DEN BAKKER Maarten | 71 |
| 63 | PAUWELS Kevin | 60 |
| 68 | DE BAAT Arjen | 66 |