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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Vos
1
58 kgD'hoore
2
63 kgHosking
3
60 kgElvin
4
63 kgMajerus
5
56 kgGuarnier
6
54 kgBalsamo
7
55 kgKröger
8
77 kg
1
58 kgD'hoore
2
63 kgHosking
3
60 kgElvin
4
63 kgMajerus
5
56 kgGuarnier
6
54 kgBalsamo
7
55 kgKröger
8
77 kg
Weight (KG) →
Result →
77
54
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOS Marianne | 58 |
| 2 | D'HOORE Jolien | 63 |
| 3 | HOSKING Chloe | 60 |
| 4 | ELVIN Gracie | 63 |
| 5 | MAJERUS Christine | 56 |
| 6 | GUARNIER Megan | 54 |
| 7 | BALSAMO Elisa | 55 |
| 8 | KRÖGER Mieke | 77 |