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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Evenepoel
1
61 kgPetrucci
3
56 kgKašpar
4
73 kgVervloesem
5
65 kgWærenskjold
6
92 kgEngelhardt
7
68 kg
1
61 kgPetrucci
3
56 kgKašpar
4
73 kgVervloesem
5
65 kgWærenskjold
6
92 kgEngelhardt
7
68 kg
Weight (KG) →
Result →
92
56
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EVENEPOEL Remco | 61 |
| 3 | PETRUCCI Mattia | 56 |
| 4 | KAŠPAR Jan | 73 |
| 5 | VERVLOESEM Xandres | 65 |
| 6 | WÆRENSKJOLD Søren | 92 |
| 7 | ENGELHARDT Felix | 68 |