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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÖSTLBERGER Lukas | 70 |
| 3 | ŠTYBAR Zdeněk | 68 |
| 4 | QUICK Blake | 77 |
| 5 | TZORTZAKIS Polychronis | 80 |
| 7 | CAHYADI Aiman | 52 |
| 8 | PORTER Rudy | 66 |
| 10 | DALLA VALLE Nicolas | 73 |
| 12 | VIVIANI Attilio | 69 |
| 14 | VAN ENGELEN Adne | 51 |
| 15 | CARSTENSEN Lucas | 69 |
| 17 | PEÑA Jesús David | 56 |
| 20 | STRAVERS Jarri | 73 |
| 22 | GONÇALVES Bernardo | 75 |