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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MATTHEWS Michael | 72 |
| 2 | KOREN Kristijan | 72 |
| 3 | ULISSI Diego | 63 |
| 4 | MACHADO Tiago | 63 |
| 5 | LANCASTER Brett | 78 |
| 6 | BRUTT Pavel | 70 |
| 7 | OVECHKIN Artem | 61 |
| 9 | FEDI Andrea | 70 |
| 10 | CARUSO Damiano | 67 |
| 11 | VOß Paul | 66 |
| 12 | FINETTO Mauro | 62 |
| 13 | ŠTIMULAK Klemen | 64 |
| 14 | DE LA CRUZ David | 66 |
| 15 | SEROV Alexander | 77 |