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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUQUE Leonardo Fabio | 59 |
| 3 | BUFFAZ Mickaël | 64 |
| 5 | BONNET William | 80 |
| 6 | LEUKEMANS Björn | 67 |
| 7 | FINOT Frédéric | 65 |
| 8 | AUGÉ Stéphane | 65 |
| 10 | BLACKGROVE Heath | 65 |
| 11 | ROY Jérémy | 70 |
| 12 | WIGGINS Bradley | 76 |
| 13 | CLAUDE Mathieu | 69 |
| 14 | KUYCKX Jan | 68 |
| 16 | BOOM Lars | 75 |
| 17 | MIKHAYLOV Gennady | 74 |
| 19 | DUMOULIN Samuel | 57 |