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 = 0.5 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIMONI Gilberto | 59 |
| 2 | EVANS Cadel | 64 |
| 3 | BRANDT Christophe | 66 |
| 4 | SERPELLINI Marco | 75 |
| 5 | PLANCKAERT Jo | 70 |
| 6 | PEERS Chris | 73 |
| 7 | CLAIN Médéric | 59 |
| 9 | FARAZIJN Peter | 69 |
| 10 | CODOL Massimo | 67 |
| 13 | LUDEWIG Jörg | 75 |
| 14 | ADAMSSON Stefan | 68 |
| 16 | ELMIGER Martin | 73 |
| 19 | VAN DE WOUWER Kurt | 66 |
| 23 | VAN LANCKER Kurt | 67 |
| 25 | D'HOLLANDER Glenn | 74 |