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 = 1.8 * weight - 93
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DYBALL Benjamin | 63 |
| 5 | BERHANE Natnael | 66 |
| 7 | QUINTERO Leonel | 67 |
| 9 | ALIZADEH Hossein | 62 |
| 11 | BULUT Samet | 64 |
| 12 | UZUN Emir | 67 |
| 17 | CHERNOMORTSEV Danylo | 60 |
| 28 | YIĞIT Tahir | 70 |
| 34 | JOLIDON Cédric | 71 |
| 39 | YILMAZ Ramazan | 65 |
| 41 | ÖRKEN Ahmet | 69 |
| 42 | SHIBATA Masayuki | 61 |
| 43 | MARAL Ahmet | 68 |
| 44 | ÖZGÜR Batuhan | 75 |