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 = -0.7 * weight + 62
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE SCHUYTENEER Steffen | 74 |
| 2 | LAMBRECHT Michiel | 75 |
| 6 | RACCAGNI NOVIERO Andrea | 75 |
| 10 | SAVINO Federico | 70 |
| 13 | HULSMANS Senne | 70 |
| 14 | SCHWARZBACHER Matthias | 72 |
| 17 | SIERRA Juan David | 70 |
| 19 | REINDERINK Joris | 59 |
| 20 | DOLVEN Halvor | 74 |
| 21 | LANHOVE Milan | 69 |
| 22 | LUKEŠ Jan | 70 |
| 24 | VERVENNE Jonathan | 72 |
| 26 | OBDRŽÁLEK Tomáš | 65 |
| 27 | DE CEUSTER Milan | 76 |