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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Edo
1
64 kgCommesso
2
66 kgBarbosa
3
72 kgMazzanti
4
64 kgClinger
5
77 kg
1
64 kgCommesso
2
66 kgBarbosa
3
72 kgMazzanti
4
64 kgClinger
5
77 kg
Weight (KG) →
Result →
77
64
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EDO Ángel | 64 |
| 2 | COMMESSO Salvatore | 66 |
| 3 | BARBOSA Cândido | 72 |
| 4 | MAZZANTI Luca | 64 |
| 5 | CLINGER David | 77 |