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 = -1.5 * weight + 148
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLOT Guillaume | 71 |
| 2 | CHEREL Mikaël | 65 |
| 5 | SIMON Julien | 65 |
| 17 | POULHIÈS Stéphane | 75 |
| 33 | LE FLOCH Guillaume | 67 |
| 38 | LEWIS Craig | 65 |
| 53 | DEROO David | 61 |
| 61 | COZZA Steven | 70 |
| 73 | FRANK Mathias | 64 |
| 75 | FEILLU Brice | 69 |
| 109 | GIBAUD Mathieu | 62 |
| 116 | FREI Thomas | 71 |