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 + 56
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERMELTFOORT Coen | 85 |
| 2 | NAVARDAUSKAS Ramūnas | 79 |
| 4 | KRUOPIS Aidis | 80 |
| 5 | VAN WINDEN Dennis | 70 |
| 7 | KLEMME Dominic | 72 |
| 8 | GUARNIERI Jacopo | 80 |
| 9 | COLEDAN Marco | 83 |
| 14 | ŠPILAK Simon | 68 |
| 15 | VAN ZANDBEEK Ronan | 72 |
| 19 | JANORSCHKE Grischa | 78 |
| 23 | KERS Koos Jeroen | 71 |