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 = -0.3 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Cenghialta
2
73 kgBelli
3
64 kgPantani
6
58 kgElli
9
71 kgCasagrande
11
64 kgBartoli
15
65 kgGianetti
16
62 kg
2
73 kgBelli
3
64 kgPantani
6
58 kgElli
9
71 kgCasagrande
11
64 kgBartoli
15
65 kgGianetti
16
62 kg
Weight (KG) →
Result →
73
58
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CENGHIALTA Bruno | 73 |
| 3 | BELLI Wladimir | 64 |
| 6 | PANTANI Marco | 58 |
| 9 | ELLI Alberto | 71 |
| 11 | CASAGRANDE Francesco | 64 |
| 15 | BARTOLI Michele | 65 |
| 16 | GIANETTI Mauro | 62 |