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 = 1.3 * weight - 59
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Gerritse
3
59 kgVas
4
51 kgGigante
8
53 kgJaskulska
10
52 kgCurinier
13
53 kgTacey
23
62 kgBuch
30
61 kgStern
31
55 kg
3
59 kgVas
4
51 kgGigante
8
53 kgJaskulska
10
52 kgCurinier
13
53 kgTacey
23
62 kgBuch
30
61 kgStern
31
55 kg
Weight (KG) →
Result →
62
51
3
31
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GERRITSE Femke | 59 |
| 4 | VAS Blanka | 51 |
| 8 | GIGANTE Sarah | 53 |
| 10 | JASKULSKA Marta | 52 |
| 13 | CURINIER Léa | 53 |
| 23 | TACEY April | 62 |
| 30 | BUCH Hannah | 61 |
| 31 | STERN Léa | 55 |