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 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PRETOT Arnaud | 71 |
| 4 | VOIGT Jens | 76 |
| 6 | VASSEUR Cédric | 70 |
| 7 | HEULOT Stéphane | 69 |
| 8 | FARAZIJN Peter | 69 |
| 9 | MORIN Anthony | 79 |
| 10 | MICHAELSEN Lars | 79 |
| 11 | FEYS Wim | 80 |
| 12 | FONTANELLI Fabiano | 68 |
| 14 | ANDERSSON Michael | 71 |
| 15 | DE CLERCQ Hans | 80 |
| 18 | PEERS Chris | 73 |
| 20 | JENNER Christopher | 68 |