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 = 0.1 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TOWNSEND Rory | 73 |
| 2 | NEPOMNYACHSHIY Yevgeniy | 62 |
| 3 | FUGLSANG Jakob | 67 |
| 4 | BAILLIFARD Valentin | 54 |
| 5 | FOMINYKH Daniil | 70 |
| 6 | LUTSENKO Alexey | 74 |
| 8 | DI GRÉGORIO Rémy | 67 |
| 9 | STÜSSI Colin | 68 |
| 10 | CECCHIN Alberto | 70 |
| 12 | PELLAUD Simon | 70 |
| 13 | LUCHSHENKO Sergey | 63 |
| 14 | GIDICH Yevgeniy | 69 |
| 15 | JAUN Lukas | 66 |