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.
Cheula
1
62 kgAstarloa
3
61 kgLongo Borghini
5
76 kgTondo
6
68 kgPires
10
63 kg
1
62 kgAstarloa
3
61 kgLongo Borghini
5
76 kgTondo
6
68 kgPires
10
63 kg
Weight (KG) →
Result →
76
61
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHEULA Giampaolo | 62 |
| 3 | ASTARLOA Igor | 61 |
| 5 | LONGO BORGHINI Paolo | 76 |
| 6 | TONDO Xavier | 68 |
| 10 | PIRES Bruno | 63 |