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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AUGÉ Stéphane | 65 |
| 2 | ENGOULVENT Jimmy | 82 |
| 3 | GERDEMANN Linus | 71 |
| 4 | LAURENT Christophe | 72 |
| 5 | MOREAU Christophe | 71 |
| 6 | VOECKLER Thomas | 71 |
| 7 | EFIMKIN Vladimir | 67 |
| 8 | NAZON Damien | 68 |
| 9 | STEEGMANS Gert | 82 |
| 10 | HUSHOVD Thor | 83 |
| 11 | COENEN Johan | 67 |
| 12 | MOERENHOUT Koos | 74 |
| 13 | FÉDRIGO Pierrick | 66 |
| 14 | DESSEL Cyril | 63 |