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.
Longo Borghini
1
59 kgCecchini
3
52 kgNilsson
5
58 kgStultiens
7
58 kgKoster
10
56 kg
1
59 kgCecchini
3
52 kgNilsson
5
58 kgStultiens
7
58 kgKoster
10
56 kg
Weight (KG) →
Result →
59
52
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LONGO BORGHINI Elisa | 59 |
| 3 | CECCHINI Elena | 52 |
| 5 | NILSSON Hanna | 58 |
| 7 | STULTIENS Sabrina | 58 |
| 10 | KOSTER Anouska | 56 |