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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Sáblíková
2
53 kgKoedooder
3
69 kgHoogeboom
9
52 kgTenniglo
12
64 kgHoeke
13
55 kgRyan
27
59 kg
2
53 kgKoedooder
3
69 kgHoogeboom
9
52 kgTenniglo
12
64 kgHoeke
13
55 kgRyan
27
59 kg
Weight (KG) →
Result →
69
52
2
27
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SÁBLÍKOVÁ Martina | 53 |
| 3 | KOEDOODER Vera | 69 |
| 9 | HOOGEBOOM Roos | 52 |
| 12 | TENNIGLO Moniek | 64 |
| 13 | HOEKE Geerte | 55 |
| 27 | RYAN Kendall | 59 |