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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Henderson
3
58 kgKlein
4
61 kgGuarischi
7
57 kgLudwig
8
55 kgvan der Hulst
9
66 kgFidanza
10
60 kgKröger
11
77 kg
3
58 kgKlein
4
61 kgGuarischi
7
57 kgLudwig
8
55 kgvan der Hulst
9
66 kgFidanza
10
60 kgKröger
11
77 kg
Weight (KG) →
Result →
77
55
3
11
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | HENDERSON Anna | 58 |
| 4 | KLEIN Lisa | 61 |
| 7 | GUARISCHI Barbara | 57 |
| 8 | LUDWIG Hannah | 55 |
| 9 | VAN DER HULST Amber | 66 |
| 10 | FIDANZA Martina | 60 |
| 11 | KRÖGER Mieke | 77 |