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 = 28.3 * weight - 1419
This means that on average for every extra kilogram weight a rider loses 28.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAGNIEN Emmanuel | 68 |
| 3 | SMETANINE Serguei | 69 |
| 4 | ZAMANA Cezary | 74 |
| 5 | SIMON François | 70 |
| 990 | CAPELLE Christophe | 73 |
| 990 | KELLY Sean | 77 |
| 990 | KIRSIPUU Jaan | 80 |
| 990 | KOERTS Jans | 78 |
| 990 | MICHAELSEN Lars | 79 |
| 990 | PÉREZ Xavier | 68 |
| 990 | GOUBERT Stéphane | 62 |