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) |
|---|---|---|
| 3 | VILLELLA Davide | 66 |
| 4 | MADRAZO Ángel | 61 |
| 5 | ISHIHARA Yuki | 53 |
| 7 | BICHLMANN Daniel | 72 |
| 8 | PELLAUD Simon | 70 |
| 9 | FERNÁNDEZ Delio | 69 |
| 11 | SÁNCHEZ Luis León | 73 |
| 12 | TOWNSEND Rory | 73 |
| 13 | SMUKULIS Gatis | 72 |
| 14 | NATAROV Yuriy | 68 |
| 15 | ZAKHAROV Artyom | 70 |