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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SVORADA Ján | 76 |
| 2 | MONCASSIN Frédéric | 73 |
| 3 | PLANCKAERT Jo | 70 |
| 4 | SACCHI Fabio | 68 |
| 5 | KIRSIPUU Jaan | 80 |
| 6 | AGGIANO Elio | 63 |
| 7 | BROCHARD Laurent | 68 |
| 9 | FRASER Gordon | 71 |
| 10 | DE JONGH Steven | 76 |
| 11 | EDO Ángel | 64 |
| 13 | MAGNIEN Emmanuel | 68 |
| 14 | CASSANI Enrico | 65 |
| 15 | GAUMONT Philippe | 77 |
| 16 | CAPELLE Christophe | 73 |