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 + 6
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Bouet
1
67 kgIsaychev
2
80 kgCardoso
3
70 kgMachado
5
63 kgVoeckler
6
71 kgZaballa
7
66 kgVaitkus
9
75 kg
1
67 kgIsaychev
2
80 kgCardoso
3
70 kgMachado
5
63 kgVoeckler
6
71 kgZaballa
7
66 kgVaitkus
9
75 kg
Weight (KG) →
Result →
80
63
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUET Maxime | 67 |
| 2 | ISAYCHEV Vladimir | 80 |
| 3 | CARDOSO Manuel Antonio Leal | 70 |
| 5 | MACHADO Tiago | 63 |
| 6 | VOECKLER Thomas | 71 |
| 7 | ZABALLA Constantino | 66 |
| 9 | VAITKUS Tomas | 75 |