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 = 0.4 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Stephens
2
55 kgVan Dam
3
58 kgMejías
5
60 kgPowless
7
59 kgKirchmann
9
59 kgPoidevin
12
56 kgValente
13
73 kg
2
55 kgVan Dam
3
58 kgMejías
5
60 kgPowless
7
59 kgKirchmann
9
59 kgPoidevin
12
56 kgValente
13
73 kg
Weight (KG) →
Result →
73
55
2
13
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STEPHENS Lauren | 55 |
| 3 | VAN DAM Sarah | 58 |
| 5 | MEJÍAS Marlies | 60 |
| 7 | POWLESS Shayna | 59 |
| 9 | KIRCHMANN Leah | 59 |
| 12 | POIDEVIN Sara | 56 |
| 13 | VALENTE Jennifer | 73 |