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 = -2.9 * weight + 225
This means that on average for every extra kilogram weight a rider loses -2.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COZZA Steven | 70 |
| 13 | CHEREL Mikaël | 65 |
| 15 | BLOT Guillaume | 71 |
| 19 | DEROO David | 61 |
| 21 | SIMON Julien | 65 |
| 23 | FEILLU Brice | 69 |
| 28 | FREI Thomas | 71 |
| 30 | LE FLOCH Guillaume | 67 |
| 34 | POULHIÈS Stéphane | 75 |
| 48 | LEWIS Craig | 65 |
| 56 | FRANK Mathias | 64 |
| 112 | GIBAUD Mathieu | 62 |