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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Ladagnous
2
73 kgCardoso
3
70 kgRolland
4
70 kgCoppel
5
64 kgNozal
6
70 kgRoux
8
73 kgHristov
9
57 kgCardoso
10
70 kg
2
73 kgCardoso
3
70 kgRolland
4
70 kgCoppel
5
64 kgNozal
6
70 kgRoux
8
73 kgHristov
9
57 kgCardoso
10
70 kg
Weight (KG) →
Result →
73
57
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LADAGNOUS Matthieu | 73 |
| 3 | CARDOSO Filipe | 70 |
| 4 | ROLLAND Pierre | 70 |
| 5 | COPPEL Jérôme | 64 |
| 6 | NOZAL Isidro | 70 |
| 8 | ROUX Anthony | 73 |
| 9 | HRISTOV Stefan Koychev | 57 |
| 10 | CARDOSO Manuel Antonio Leal | 70 |