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 + 31
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | JALABERT Laurent | 66 |
| 5 | TCHMIL Andrei | 75 |
| 7 | DE CLERCQ Mario | 66 |
| 8 | HOFFMAN Tristan | 80 |
| 11 | HEULOT Stéphane | 69 |
| 14 | VIRENQUE Richard | 65 |
| 17 | SIMON François | 70 |
| 19 | CHANTEUR Pascal | 62 |
| 21 | FARAZIJN Peter | 69 |
| 23 | RUÉ Gérard | 74 |
| 25 | BROCHARD Laurent | 68 |
| 29 | MADOUAS Laurent | 70 |