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 - 21
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Mejías
2
60 kgVan Dam
3
58 kgStephens
4
55 kgPowless
6
59 kgKirchmann
10
59 kgPoidevin
15
56 kgValente
16
73 kg
2
60 kgVan Dam
3
58 kgStephens
4
55 kgPowless
6
59 kgKirchmann
10
59 kgPoidevin
15
56 kgValente
16
73 kg
Weight (KG) →
Result →
73
55
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MEJÍAS Marlies | 60 |
| 3 | VAN DAM Sarah | 58 |
| 4 | STEPHENS Lauren | 55 |
| 6 | POWLESS Shayna | 59 |
| 10 | KIRCHMANN Leah | 59 |
| 15 | POIDEVIN Sara | 56 |
| 16 | VALENTE Jennifer | 73 |