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 = 0.7 * weight - 40
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Casagrande
2
63 kgAndriotto
4
68 kgAggiano
8
63 kgMeier
12
69 kgPetito
15
78 kgFornaciari
17
80 kg
2
63 kgAndriotto
4
68 kgAggiano
8
63 kgMeier
12
69 kgPetito
15
78 kgFornaciari
17
80 kg
Weight (KG) →
Result →
80
63
2
17
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CASAGRANDE Filippo | 63 |
| 4 | ANDRIOTTO Dario | 68 |
| 8 | AGGIANO Elio | 63 |
| 12 | MEIER Armin | 69 |
| 15 | PETITO Roberto | 78 |
| 17 | FORNACIARI Paolo | 80 |