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 + 55
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VINOKOUROV Alexandre | 68 |
| 2 | SIMON François | 70 |
| 3 | FARAZIJN Peter | 69 |
| 4 | LE BOULANGER Yoann | 70 |
| 6 | VASSEUR Cédric | 70 |
| 7 | SCHNIDER Daniel | 65 |
| 9 | SEVILLA Óscar | 62 |
| 10 | DE WOLF Steve | 67 |