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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FARRAR Tyler | 73 |
| 2 | ARAMENDIA Javier | 72 |
| 3 | PETACCHI Alessandro | 70 |
| 4 | HAEDO Juan José | 73 |
| 5 | RENSHAW Mark | 74 |
| 6 | SIEBERG Marcel | 80 |
| 7 | GIORDANI Leonardo | 68 |
| 8 | VAN AVERMAET Greg | 74 |
| 9 | LORENZETTO Mirco | 71 |
| 10 | KAISEN Olivier | 82 |
| 11 | BOASSON HAGEN Edvald | 75 |
| 12 | BOŽIČ Borut | 70 |
| 13 | MORENO Daniel | 59 |
| 14 | FLENS Rick | 82 |
| 15 | GATTO Oscar | 67 |