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 = -1.1 * weight + 78
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Ekimov
1
69 kgBaguet
4
67 kgVerstrepen
5
66 kgFarazijn
6
69 kgDe Clercq
9
66 kg
1
69 kgBaguet
4
67 kgVerstrepen
5
66 kgFarazijn
6
69 kgDe Clercq
9
66 kg
Weight (KG) →
Result →
69
66
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EKIMOV Viatcheslav | 69 |
| 4 | BAGUET Serge | 67 |
| 5 | VERSTREPEN Johan | 66 |
| 6 | FARAZIJN Peter | 69 |
| 9 | DE CLERCQ Mario | 66 |