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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Boonen
1
82 kgBruylandts
2
63 kgThijs
3
69 kgCancellara
4
80 kgRoesems
5
81 kg
1
82 kgBruylandts
2
63 kgThijs
3
69 kgCancellara
4
80 kgRoesems
5
81 kg
Weight (KG) →
Result →
82
63
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOONEN Tom | 82 |
| 2 | BRUYLANDTS Dave | 63 |
| 3 | THIJS Erwin | 69 |
| 4 | CANCELLARA Fabian | 80 |
| 5 | ROESEMS Bert | 81 |