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 | DE MAAR Marc | 70 |
| 2 | SANO Junya | 76 |
| 3 | IRIBE Shotaro | 61 |
| 4 | LEBAS Thomas | 65 |
| 5 | PRADES Benjamín | 56 |
| 6 | SUZUKI Yuzuru | 57 |
| 7 | TORIBIO José Vicente | 64 |
| 9 | DYBALL Benjamin | 63 |
| 10 | CAVANAGH Ryan | 72 |
| 11 | CHEUNG King Lok | 59 |
| 12 | CULEY Marcus | 69 |
| 13 | GUARDIOLA Salvador | 65 |
| 14 | KUBOKI Kazushige | 68 |
| 15 | GROVES Kaden | 76 |
| 16 | GARCIA Marcos | 55 |
| 17 | AMEZAWA Takeaki | 60 |
| 19 | ISHIBASHI Manabu | 68 |
| 20 | OKAMOTO Hayato | 65 |