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 = -0.2 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | JARC Blaž | 87 |
| 6 | DEGENKOLB John | 82 |
| 9 | MAJKA Rafał | 62 |
| 11 | PAĎOUR František | 59 |
| 17 | EIJSSEN Yannick | 60 |
| 19 | CHARUCKI Paweł | 64 |
| 20 | SAGAN Juraj | 65 |
| 36 | POLNICKÝ Jiří | 68 |
| 43 | ROBERT Fréderique | 68 |
| 60 | THURAU Björn | 73 |