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 - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAIKIN Roman | 68 |
| 2 | RAJOVIĆ Dušan | 74 |
| 3 | HABTEAB Yoel | 61 |
| 4 | RÄIM Mihkel | 69 |
| 5 | LAUK Karl Patrick | 69 |
| 6 | LAAS Martin | 76 |
| 7 | KONING Stef | 72 |
| 8 | POPOV Anton | 75 |
| 9 | RIKUNOV Petr | 71 |
| 10 | CARMAN Ben | 66 |
| 11 | VAN ENGELEN Adne | 51 |
| 14 | AVONDTS Mathis | 62 |
| 15 | JANSE VAN RENSBURG Reinardt | 74 |
| 16 | NISU Oskar | 84 |
| 17 | KIM Euro | 68 |
| 19 | ĐURIĆ Đorđe | 79 |