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 + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAUMONT Philippe | 77 |
| 5 | MENGIN Christophe | 68 |
| 7 | CAPELLE Christophe | 73 |
| 8 | MARIE Thierry | 68 |
| 9 | HAMBURGER Bo | 58 |
| 10 | JALABERT Nicolas | 68 |
| 11 | O'GRADY Stuart | 73 |
| 13 | MOREAU Francis | 77 |
| 14 | RICH Michael | 82 |
| 15 | KNAVEN Servais | 68 |