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 = 0.7 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | AMANUEL Meron | 63 |
| 4 | BANI Eugenio | 72 |
| 5 | AFEWERKI Elyas | 63 |
| 13 | OKUBAMARIAM Tesfom | 60 |
| 15 | ARERUYA Joseph | 74 |
| 30 | MUGISHA Samuel | 62 |
| 31 | HISHINUMA Yukinori | 58 |
| 34 | SOLOMON Zemenfes | 66 |
| 35 | GHEBREINDRIAS Amanuel Mengis | 68 |
| 36 | BICHLMANN Daniel | 72 |
| 38 | MERSEBURG Dominik | 75 |
| 42 | FREDYUK Volodymyr | 77 |