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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ADAMSSON Stefan | 68 |
| 2 | MAGNIEN Emmanuel | 68 |
| 3 | EISEL Bernhard | 74 |
| 4 | KRIVTSOV Yuriy | 72 |
| 5 | EDALEINE Christophe | 62 |
| 6 | DE JONGH Steven | 76 |
| 7 | WEGMANN Fabian | 60 |
| 9 | KASPUTIS Artūras | 83 |
| 10 | PRONK Matthé | 73 |
| 11 | POZZATO Filippo | 73 |
| 12 | WILLEMS Frederik | 67 |