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 = 0.1 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARTA Will | 61 |
| 4 | COSTA Adrien | 61 |
| 5 | KOCH Christian | 68 |
| 8 | MENTEN Milan | 68 |
| 9 | SIVAKOV Pavel | 70 |
| 10 | HALLER Patrick | 68 |
| 11 | KURIANOV Stepan | 74 |
| 12 | DUNBAR Eddie | 57 |
| 13 | PER Gorazd | 68 |
| 14 | GAMPER Patrick | 80 |
| 15 | KÄMNA Lennard | 65 |
| 16 | ŤOUPALÍK Adam | 65 |
| 17 | ISHIGAMI Masahiro | 58 |