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 = 0.4 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LANDA Mikel | 61 |
| 2 | CHERNETSKI Sergei | 63 |
| 3 | ALAPHILIPPE Julian | 62 |
| 4 | MAS Enric | 61 |
| 5 | MORENO Daniel | 59 |
| 6 | BARBERO Carlos | 66 |
| 7 | BOL Jetse | 71 |
| 8 | VAN GINNEKEN Sjoerd | 72 |
| 9 | BRAVO Garikoitz | 61 |
| 10 | FINETTO Mauro | 62 |
| 11 | BAGIOLI Nicola | 64 |
| 12 | MOSCON Gianni | 71 |
| 13 | ROSÓN Jaime | 62 |
| 14 | KENNAUGH Peter | 66 |
| 15 | VAN GENECHTEN Jonas | 67 |