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 = -2.5 * weight + 249
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | BOILY David | 60 |
| 10 | LAMBERT-LEMAY Simon | 81 |
| 14 | DÉMARE Arnaud | 76 |
| 36 | DUCHESNE Antoine | 75 |
| 41 | HUFFMAN Evan | 71 |
| 68 | KAMYSHEV Arman | 67 |
| 72 | STALNOV Nikita | 63 |
| 83 | BARRETTE Hugo | 80 |
| 104 | TSUBAKI Hiroshi | 62 |
| 120 | BOSWELL Ian | 70 |
| 141 | STONE Mike | 64 |
| 143 | FOMINYKH Daniil | 70 |
| 151 | WARBASSE Larry | 67 |