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 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DÉMARE Arnaud | 76 |
| 2 | SILVESTRE Fábio | 78 |
| 3 | HOULE Hugo | 72 |
| 6 | KAMYSHEV Arman | 67 |
| 7 | BOILY David | 60 |
| 10 | WARBASSE Larry | 67 |
| 15 | STALNOV Nikita | 63 |
| 19 | SILVA Rafael | 65 |
| 25 | FOMINYKH Daniil | 70 |
| 26 | TSUBAKI Hiroshi | 62 |
| 27 | BROWN Nathan | 65 |
| 29 | MANNION Gavin | 58 |
| 36 | LAMBERT-LEMAY Simon | 81 |
| 42 | DUCHESNE Antoine | 75 |