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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DREGE André | 78 |
| 2 | MAGNIER Paul | 70 |
| 3 | BRENNAN Matthew | 68 |
| 4 | BLACKMORE Joseph | 66 |
| 5 | HANNES Victor | 62 |
| 6 | CÔTÉ Pier-André | 74 |
| 7 | GRUEL Thibaud | 70 |
| 8 | DIRNBAUER Josef | 67 |
| 9 | KUBIŠ Lukáš | 70 |
| 11 | ZAHÁLKA Matěj | 73 |
| 13 | GUALDI Simone | 61 |
| 15 | CHAMERAT DUMONT Antony | 70 |
| 16 | ŠTOČEK Matúš | 80 |