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 * weight + 5
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Bugno
1
68 kgDufaux
2
60 kgUgrumov
3
58 kgDelgado
5
64 kgVanzella
6
78 kgArroyo
10
59 kg
1
68 kgDufaux
2
60 kgUgrumov
3
58 kgDelgado
5
64 kgVanzella
6
78 kgArroyo
10
59 kg
Weight (KG) →
Result →
78
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUGNO Gianni | 68 |
| 2 | DUFAUX Laurent | 60 |
| 3 | UGRUMOV Piotr | 58 |
| 5 | DELGADO Pedro | 64 |
| 6 | VANZELLA Flavio | 78 |
| 10 | ARROYO Miguel | 59 |