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 = 2.5 * weight - 146
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | PARDILLA Sergio | 65 |
| 12 | TERUEL Eloy | 73 |
| 22 | SCHILLINGER Andreas | 72 |
| 26 | HOFFMANN Erik | 65 |
| 32 | MAMOS Philipp | 72 |
| 36 | HUBER Urs | 70 |
| 39 | VAN LEIJEN Joost | 73 |
| 48 | SCHMITZ Bram | 77 |
| 54 | LAMPATER Leif | 75 |
| 55 | GARCÍA ACOSTA José Vicente | 76 |
| 58 | VAN ZANDBEEK Ronan | 72 |
| 62 | BENGSCH Robert | 85 |