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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Camusso
1
66 kgGiacobbe
2
74 kgPesenti
4
60 kgGestri
9
72 kgOrecchia
10
62 kg
1
66 kgGiacobbe
2
74 kgPesenti
4
60 kgGestri
9
72 kgOrecchia
10
62 kg
Weight (KG) →
Result →
74
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAMUSSO Francesco | 66 |
| 2 | GIACOBBE Luigi | 74 |
| 4 | PESENTI Antonio | 60 |
| 9 | GESTRI Eugenio | 72 |
| 10 | ORECCHIA Michele | 62 |