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 - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COQUARD Bryan | 59 |
| 2 | MODOLO Sacha | 67 |
| 3 | BARBIER Pierre | 69 |
| 4 | SARREAU Marc | 76 |
| 5 | LAPORTE Christophe | 76 |
| 6 | VAN ASBROECK Tom | 72 |
| 7 | DEHAES Kenny | 73 |
| 8 | JANS Roy | 68 |
| 9 | VENTURINI Clément | 60 |
| 10 | MADOUAS Valentin | 71 |
| 11 | CAPIOT Amaury | 69 |
| 12 | BONIFAZIO Niccolò | 72 |
| 13 | DANIEL Maxime | 74 |
| 14 | STUYVEN Jasper | 78 |
| 15 | GROSU Eduard-Michael | 68 |
| 16 | TRARIEUX Julien | 71 |
| 17 | ALLEGAERT Piet | 70 |