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 + 47
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KURIANOV Stepan | 74 |
| 2 | GIBSON Matthew | 76 |
| 3 | MADOUAS Valentin | 71 |
| 4 | HALVORSEN Kristoffer | 69 |
| 5 | WIRTGEN Tom | 77 |
| 6 | TOUZÉ Damien | 69 |
| 8 | FORTUNATO Lorenzo | 57 |
| 10 | ERIKSSON Lucas | 64 |
| 17 | PEDERSEN Casper | 71 |
| 21 | GIDICH Yevgeniy | 69 |
| 23 | YAMAMOTO Masaki | 63 |