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 = -0.7 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Lozano
1
63 kgMarengo
6
69 kgOram
7
68 kgRaileanu
9
63 kgLeplingard
11
68 kgSainbayar
15
60 kgHoller
16
58 kg
1
63 kgMarengo
6
69 kgOram
7
68 kgRaileanu
9
63 kgLeplingard
11
68 kgSainbayar
15
60 kgHoller
16
58 kg
Weight (KG) →
Result →
69
58
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LOZANO David | 63 |
| 6 | MARENGO Umberto | 69 |
| 7 | ORAM James | 68 |
| 9 | RAILEANU Cristian | 63 |
| 11 | LEPLINGARD Antoine | 68 |
| 15 | SAINBAYAR Jambaljamts | 60 |
| 16 | HOLLER Nikodemus | 58 |