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 = 2.3 * weight - 103
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
Curinier
16
53 kgLach
27
59 kgFrancis
33
56 kgStorrie
36
58 kgLeech
64
72 kg
16
53 kgLach
27
59 kgFrancis
33
56 kgStorrie
36
58 kgLeech
64
72 kg
Weight (KG) →
Result →
72
53
16
64
| # | Rider | Weight (KG) |
|---|---|---|
| 16 | CURINIER Léa | 53 |
| 27 | LACH Marta | 59 |
| 33 | FRANCIS Jenaya | 56 |
| 36 | STORRIE Becky | 58 |
| 64 | LEECH Madelaine | 72 |