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 = 0.6 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOZONTCHUK Dmitry | 75 |
| 4 | KOHLER Martin | 69 |
| 10 | BOOM Lars | 75 |
| 12 | SANTAROMITA Ivan | 58 |
| 14 | FREI Thomas | 71 |
| 17 | EIBEGGER Markus | 68 |
| 22 | LANG Pirmin | 73 |
| 25 | DMITRIYEV Valeriy | 69 |
| 29 | VITORIA David | 74 |
| 34 | LANGEVELD Sebastian | 67 |
| 46 | WYSS Danilo | 65 |
| 73 | HOLLENSTEIN Reto | 80 |
| 86 | IGLINSKIY Valentin | 68 |