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 + 65
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SENTJENS Sente | 85 |
| 2 | DE SCHUYTENEER Steffen | 74 |
| 4 | CHAMBERLAIN Oscar | 74 |
| 5 | LARSSON Linus | 60 |
| 10 | STONEHAM Angus | 67 |
| 12 | BAUWENS Siebe | 71 |
| 15 | GRÖMMEL Rens | 70 |
| 33 | HOLMES Wil | 64 |
| 39 | ARJUS Henri | 70 |