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 = -0.5 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BROWN Nathan | 65 |
| 3 | FOMINYKH Daniil | 70 |
| 4 | WARBASSE Larry | 67 |
| 9 | SILVESTRE Fábio | 78 |
| 12 | LAMBERT-LEMAY Simon | 81 |
| 13 | HOULE Hugo | 72 |
| 15 | BOILY David | 60 |
| 18 | STALNOV Nikita | 63 |
| 21 | DUCHESNE Antoine | 75 |
| 24 | DÉMARE Arnaud | 76 |
| 26 | MANNION Gavin | 58 |
| 34 | TSUBAKI Hiroshi | 62 |
| 35 | KAMYSHEV Arman | 67 |
| 40 | SILVA Rafael | 65 |