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 - 29
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ARROYO Miguel | 59 |
| 6 | TOLHOEK Patrick | 63 |
| 7 | MADOUAS Laurent | 70 |
| 9 | MADIOT Marc | 68 |
| 10 | LILHOLT Søren | 72 |
| 11 | BOURGUIGNON Thierry | 72 |
| 17 | RUÉ Gérard | 74 |
| 21 | HOLM SØRENSEN Brian | 77 |
| 23 | JÄRMANN Rolf | 73 |
| 24 | SIMON François | 70 |
| 35 | JALABERT Laurent | 66 |
| 36 | CAPELLE Christophe | 73 |
| 41 | BÖLTS Udo | 73 |
| 42 | ALDAG Rolf | 75 |
| 45 | ROBIN Jean-Cyril | 63 |