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 | JOHNSTON Liam | 75 |
| 4 | AMANO Takeharu | 58 |
| 5 | LAMPERTI Luke | 74 |
| 6 | YAMADA Takumi | 63 |
| 8 | PIDCOCK Joseph | 57 |
| 9 | HASHIKAWA Jo | 57 |
| 10 | REMKHI Rudolf | 60 |
| 11 | KARIYA Kazutoshi | 66 |
| 12 | HARASIM Mihnea-Alexandru | 72 |
| 16 | ALIYEV Ruslan | 67 |