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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LUDVIGSSON Fredrik | 71 |
| 3 | VLIEGEN Loïc | 70 |
| 4 | MOHORIČ Matej | 71 |
| 9 | SKJERPING Kristoffer | 71 |
| 10 | ČERNÝ Josef | 75 |
| 13 | JANSEN Amund Grøndahl | 83 |
| 14 | MARTIN Guillaume | 55 |
| 17 | PAVLIČ Marko | 65 |