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 = -0.5 * weight + 41
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Koedooder
2
69 kgHoogeboom
8
52 kgTenniglo
9
64 kgSáblíková
14
53 kgHoeke
15
55 kgRyan
30
59 kg
2
69 kgHoogeboom
8
52 kgTenniglo
9
64 kgSáblíková
14
53 kgHoeke
15
55 kgRyan
30
59 kg
Weight (KG) →
Result →
69
52
2
30
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KOEDOODER Vera | 69 |
| 8 | HOOGEBOOM Roos | 52 |
| 9 | TENNIGLO Moniek | 64 |
| 14 | SÁBLÍKOVÁ Martina | 53 |
| 15 | HOEKE Geerte | 55 |
| 30 | RYAN Kendall | 59 |