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 = 2.8 * weight - 141
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FOMINYKH Daniil | 70 |
| 7 | DÉMARE Arnaud | 76 |
| 9 | BOILY David | 60 |
| 11 | KAMYSHEV Arman | 67 |
| 39 | STONE Mike | 64 |
| 45 | TSUBAKI Hiroshi | 62 |
| 54 | DUCHESNE Antoine | 75 |
| 58 | WARBASSE Larry | 67 |
| 62 | STALNOV Nikita | 63 |
| 91 | LAMBERT-LEMAY Simon | 81 |
| 95 | BOSWELL Ian | 70 |
| 102 | HUFFMAN Evan | 71 |
| 123 | BARRETTE Hugo | 80 |