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 = -0.3 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIETERS Peter | 82 |
| 5 | WELTZ Johnny | 65 |
| 7 | MARIE Thierry | 68 |
| 11 | INDURÁIN Miguel | 76 |
| 12 | SCHUR Jan | 73 |
| 13 | MONCASSIN Frédéric | 73 |
| 18 | CAPELLE Christophe | 73 |
| 20 | MOREAU Francis | 77 |
| 21 | YATES Sean | 74 |
| 24 | DUCLOS-LASSALLE Gilbert | 73 |
| 25 | VAN DER POEL Adrie | 70 |
| 38 | SEIGNEUR Eddy | 71 |