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 = -0.2 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Argentin
1
66 kgBugno
2
68 kgCaroli
3
77 kgSørensen
5
70 kgVandi
8
64 kg
1
66 kgBugno
2
68 kgCaroli
3
77 kgSørensen
5
70 kgVandi
8
64 kg
Weight (KG) →
Result →
77
64
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARGENTIN Moreno | 66 |
| 2 | BUGNO Gianni | 68 |
| 3 | CAROLI Daniele | 77 |
| 5 | SØRENSEN Rolf | 70 |
| 8 | VANDI Alfio | 64 |