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 = 0.5 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Kostyuk
1
66 kgGusev
4
67 kgDueñas
10
61 kgSella
24
54 kgCorioni
27
67 kgKemps
40
73 kg
1
66 kgGusev
4
67 kgDueñas
10
61 kgSella
24
54 kgCorioni
27
67 kgKemps
40
73 kg
Weight (KG) →
Result →
73
54
1
40
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOSTYUK Denys | 66 |
| 4 | GUSEV Vladimir | 67 |
| 10 | DUEÑAS Moisés | 61 |
| 24 | SELLA Emanuele | 54 |
| 27 | CORIONI Claudio | 67 |
| 40 | KEMPS Aaron | 73 |