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 = -0.8 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Koerts
1
78 kgMichaelsen
2
79 kgHolm Sørensen
3
77 kgVan Lancker
10
67 kgDurand
14
76 kgHodge
15
74 kg
1
78 kgMichaelsen
2
79 kgHolm Sørensen
3
77 kgVan Lancker
10
67 kgDurand
14
76 kgHodge
15
74 kg
Weight (KG) →
Result →
79
67
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOERTS Jans | 78 |
| 2 | MICHAELSEN Lars | 79 |
| 3 | HOLM SØRENSEN Brian | 77 |
| 10 | VAN LANCKER Kurt | 67 |
| 14 | DURAND Jacky | 76 |
| 15 | HODGE Stephen | 74 |