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 = 1.3 * weight - 42
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DÉMARE Arnaud | 76 |
| 2 | LAMBERT-LEMAY Simon | 81 |
| 5 | BOILY David | 60 |
| 9 | STALNOV Nikita | 63 |
| 14 | WARBASSE Larry | 67 |
| 21 | KAMYSHEV Arman | 67 |
| 25 | HUFFMAN Evan | 71 |
| 41 | BOSWELL Ian | 70 |
| 70 | TSUBAKI Hiroshi | 62 |
| 81 | DUCHESNE Antoine | 75 |
| 82 | STONE Mike | 64 |
| 124 | FOMINYKH Daniil | 70 |
| 132 | BARRETTE Hugo | 80 |