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 + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WIGGINS Ben | 78 |
| 4 | FONTAINE Titouan | 70 |
| 7 | SIERRA Juan David | 70 |
| 8 | L'HOTE Antoine | 67 |
| 9 | GRINDLEY Sebastian | 72 |
| 12 | SENTJENS Sente | 85 |
| 14 | ABRIL Alejandro | 64 |
| 20 | BLAISE Arthur | 73 |
| 24 | DE SCHUYTENEER Steffen | 74 |
| 25 | GIULIANO Dario | 63 |