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 = 0.7 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Spratt
2
55 kgFerrier-Bruneau
4
53 kgArndt
5
59 kgvan Vleuten
6
59 kgBrand
7
57 kgJohansson
8
58 kgVillumsen
10
59 kg
2
55 kgFerrier-Bruneau
4
53 kgArndt
5
59 kgvan Vleuten
6
59 kgBrand
7
57 kgJohansson
8
58 kgVillumsen
10
59 kg
Weight (KG) →
Result →
59
53
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SPRATT Amanda | 55 |
| 4 | FERRIER-BRUNEAU Christel | 53 |
| 5 | ARNDT Judith | 59 |
| 6 | VAN VLEUTEN Annemiek | 59 |
| 7 | BRAND Lucinda | 57 |
| 8 | JOHANSSON Emma | 58 |
| 10 | VILLUMSEN Linda | 59 |