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 = 0.6 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HIGUITA Sergio | 57 |
| 2 | FIGUEIREDO Frederico | 56 |
| 3 | RIVERA Kevin | 56 |
| 7 | POURHASHEMI Hamid | 64 |
| 9 | BANUSCH Richard | 78 |
| 10 | EYOB Metkel | 61 |
| 11 | KASYANOV Oleksiy | 62 |
| 12 | MONSALVE Yonathan | 62 |
| 13 | OVECHKIN Artem | 61 |
| 17 | VORGANOV Eduard | 65 |
| 18 | LIZDE Seid | 70 |
| 19 | AMADOR Juan José | 63 |
| 20 | VIEL Mattia | 72 |