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 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OURSELIN Paul | 70 |
| 2 | BARRÉ Louis | 68 |
| 4 | BUCHMANN Emanuel | 59 |
| 5 | JUUL-JENSEN Christopher | 73 |
| 6 | LIPOWITZ Florian | 68 |
| 7 | GUERREIRO Ruben | 65 |
| 10 | BARDET Romain | 65 |
| 12 | ROLLAND Brieuc | 59 |
| 13 | ZWIEHOFF Ben | 61 |
| 14 | VAN GILS Maxim | 63 |
| 15 | BERNARD Julien | 60 |
| 16 | COMBAUD Romain | 63 |
| 17 | PRICE-PEJTERSEN Johan | 83 |