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 = 1.3 * weight - 63
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARIE Thierry | 68 |
| 14 | SWART Steve | 74 |
| 18 | GLAUS Gilbert | 67 |
| 24 | KELLY Sean | 77 |
| 25 | IMBODEN Heinz | 70 |
| 30 | PEETERS Wilfried | 76 |
| 34 | RUÉ Gérard | 74 |
| 49 | MADIOT Marc | 68 |
| 52 | DEMIERRE Serge | 70 |
| 56 | WAMPERS Jean-Marie | 82 |