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 | CANCELLARA Fabian | 80 |
| 2 | KARPETS Vladimir | 79 |
| 3 | BRAJKOVIČ Janez | 60 |
| 4 | HUNTER Robert | 72 |
| 5 | BOTERO Santiago | 75 |
| 6 | PERON Andrea | 70 |
| 7 | GRIVKO Andrey | 70 |
| 8 | VANDE VELDE Christian | 69 |
| 9 | LANG Sebastian | 77 |
| 10 | JALABERT Nicolas | 68 |
| 11 | CAÑADA David | 65 |
| 12 | GERDEMANN Linus | 71 |
| 13 | LEIPHEIMER Levi | 62 |
| 14 | HUSHOVD Thor | 83 |
| 15 | HESJEDAL Ryder | 73 |