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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TUREK Daniel | 72 |
| 2 | VAN GESTEL Dries | 74 |
| 3 | ROOSEN Timo | 78 |
| 4 | BOASSON HAGEN Edvald | 75 |
| 5 | JENSEN August | 67 |
| 6 | REGUIGUI Youcef | 69 |
| 7 | VEYHE Torkil | 77 |
| 8 | SÁEZ Héctor | 75 |
| 10 | ASGREEN Kasper | 75 |
| 12 | VAN DER LIJKE Nick | 61 |
| 13 | PLUCIŃSKI Leszek | 59 |
| 14 | JANSEN Amund Grøndahl | 83 |
| 15 | MEIJERS Jeroen | 68 |
| 16 | LOOIJ André | 75 |
| 17 | KÄMNA Lennard | 65 |
| 18 | KOCH Jonas | 75 |
| 19 | PASQUALON Andrea | 75 |