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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KORSÆTH Truls Engen | 84 |
| 2 | HALVORSEN Kristoffer | 69 |
| 4 | SCHOMBER Nils | 75 |
| 5 | GODRIE Stan | 74 |
| 6 | DE KLEIJN Arvid | 68 |
| 7 | OLIVEIRA Rui | 66 |
| 10 | RUSSO Clément | 74 |
| 14 | LAMOISSON Morgan | 69 |