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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DEN BERG Marijn | 73 |
| 3 | COSNEFROY Benoît | 65 |
| 4 | PENHOËT Paul | 64 |
| 5 | STRONG Corbin | 63 |
| 6 | PLAPP Luke | 72 |
| 7 | VAN GESTEL Dries | 74 |
| 8 | WOODS Michael | 62 |
| 9 | GANNA Filippo | 83 |
| 10 | PARET-PEINTRE Valentin | 52 |
| 12 | ADRIÀ Roger | 64 |
| 13 | PRODHOMME Nicolas | 63 |
| 14 | URRUTY Maxime | 59 |
| 15 | FROOME Chris | 68 |
| 16 | MOLARD Rudy | 62 |
| 18 | GARCÍA PIERNA Carlos | 58 |