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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAJOVIĆ Dušan | 74 |
| 2 | LAAS Martin | 76 |
| 3 | MAIKIN Roman | 68 |
| 4 | POPOV Anton | 75 |
| 5 | CARMAN Ben | 66 |
| 6 | RIKUNOV Petr | 71 |
| 8 | HABTEAB Yoel | 61 |
| 9 | AVONDTS Mathis | 62 |
| 10 | JANSE VAN RENSBURG Reinardt | 74 |
| 11 | KIM Euro | 68 |
| 13 | LAUK Karl Patrick | 69 |
| 14 | ĐURIĆ Đorđe | 79 |