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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WEISSINGER René | 74 |
| 3 | ASKARI Hossein | 73 |
| 4 | MARINANGELI Sergio | 65 |
| 6 | VORGANOV Eduard | 65 |
| 7 | BURGOS Nacor | 58 |
| 8 | VAN HUMMEL Kenny | 64 |
| 10 | MIZBANI Ghader | 67 |
| 12 | FAILLI Francesco | 65 |
| 13 | TJALLINGII Maarten | 81 |
| 14 | FLORENCIO Xavier | 59 |
| 16 | DRANCOURT Pierre | 68 |
| 17 | CLAUDE Mathieu | 69 |