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 = -0.3 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MICHAELSEN Lars | 79 |
| 2 | DUFAUX Laurent | 60 |
| 3 | TCHMIL Andrei | 75 |
| 4 | COLOMBO Gabriele | 70 |
| 7 | EDO Ángel | 64 |
| 8 | OLANO Abraham | 70 |
| 9 | JALABERT Laurent | 66 |
| 10 | GARCÍA CASAS Félix Miguel | 63 |