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 + 23
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SAVINO Federico | 70 |
| 10 | DOLVEN Halvor | 74 |
| 14 | LUKEŠ Jan | 70 |
| 15 | LAMBRECHT Michiel | 75 |
| 16 | DE CEUSTER Milan | 76 |
| 18 | RACCAGNI NOVIERO Andrea | 75 |
| 19 | OBDRŽÁLEK Tomáš | 65 |
| 20 | HULSMANS Senne | 70 |