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 = -0.2 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENNATI Daniele | 71 |
| 2 | VAN LERBERGHE Bert | 83 |
| 3 | LOBATO Juan José | 64 |
| 4 | GATTO Oscar | 67 |
| 5 | VAN HOECKE Gijs | 78 |
| 6 | BOUHANNI Nacer | 65 |
| 7 | HOLLENSTEIN Reto | 80 |
| 8 | KREDER Raymond | 70 |
| 9 | VAN DER SANDE Tosh | 67 |
| 10 | TANNER David | 70 |
| 11 | SWIFT Ben | 69 |
| 12 | GILBERT Philippe | 75 |
| 13 | SOUPE Geoffrey | 70 |
| 14 | REIJNEN Kiel | 63 |
| 15 | SANZ Enrique | 67 |