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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FORTIN Filippo | 78 |
| 2 | AUER Daniel | 73 |
| 3 | BONIFAZIO Leonardo | 63 |
| 4 | NÕMMELA Aksel | 69 |
| 7 | BRUSSELMAN Twan | 76 |
| 8 | EISING Tijmen | 80 |
| 10 | KERKHOF Tim | 76 |
| 11 | HALLER Patrick | 68 |
| 12 | DE JONGE Maarten | 65 |
| 13 | RÜEGG Lukas | 66 |
| 14 | STRAKHOV Dmitry | 70 |