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 + 8
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Sáblíková
4
53 kgKoedooder
6
69 kgHoogeboom
9
52 kgHoeke
12
55 kgTenniglo
14
64 kgRyan
35
59 kg
4
53 kgKoedooder
6
69 kgHoogeboom
9
52 kgHoeke
12
55 kgTenniglo
14
64 kgRyan
35
59 kg
Weight (KG) →
Result →
69
52
4
35
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SÁBLÍKOVÁ Martina | 53 |
| 6 | KOEDOODER Vera | 69 |
| 9 | HOOGEBOOM Roos | 52 |
| 12 | HOEKE Geerte | 55 |
| 14 | TENNIGLO Moniek | 64 |
| 35 | RYAN Kendall | 59 |