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 + 122
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLOT Guillaume | 71 |
| 4 | COZZA Steven | 70 |
| 6 | SIMON Julien | 65 |
| 23 | DEROO David | 61 |
| 28 | LE FLOCH Guillaume | 67 |
| 29 | POULHIÈS Stéphane | 75 |
| 33 | LEWIS Craig | 65 |
| 64 | GIBAUD Mathieu | 62 |
| 67 | FRANK Mathias | 64 |
| 69 | FREI Thomas | 71 |