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 + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Rosenlund
1
72 kgNisu
2
84 kgRäim
3
69 kgLauk
5
69 kgBogdanovičs
6
68 kgStampe
7
79 kgJürisaar
14
62 kg
1
72 kgNisu
2
84 kgRäim
3
69 kgLauk
5
69 kgBogdanovičs
6
68 kgStampe
7
79 kgJürisaar
14
62 kg
Weight (KG) →
Result →
84
62
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROSENLUND Stian | 72 |
| 2 | NISU Oskar | 84 |
| 3 | RÄIM Mihkel | 69 |
| 5 | LAUK Karl Patrick | 69 |
| 6 | BOGDANOVIČS Māris | 68 |
| 7 | STAMPE Daniel | 79 |
| 14 | JÜRISAAR Tauri | 62 |