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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HILL Benjamin | 67 |
| 3 | CRAWFORD Jai | 59 |
| 4 | GUARDIOLA Salvador | 65 |
| 5 | TORIBIO José Vicente | 64 |
| 6 | OKA Atsushi | 58 |
| 7 | SUZUKI Yuzuru | 57 |
| 9 | HATANAKA Yusuke | 72 |
| 10 | OKUBO Jin | 70 |
| 12 | SUZUKI Ryu | 58 |
| 13 | MASUDA Nariyuki | 63 |
| 14 | DOI Yukihiro | 58 |
| 15 | GARCIA Marcos | 55 |
| 16 | LEBAS Thomas | 65 |
| 17 | YAMAMOTO Genki | 62 |
| 19 | ISHIBASHI Manabu | 68 |
| 22 | GUY Timothy | 67 |
| 23 | MAT AMIN Mohd Shahrul | 54 |