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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Zabel
1
69 kgBarbosa
5
72 kgPetito
6
78 kgFagnini
7
70 kgChanteur
8
62 kgSimon
9
70 kg
1
69 kgBarbosa
5
72 kgPetito
6
78 kgFagnini
7
70 kgChanteur
8
62 kgSimon
9
70 kg
Weight (KG) →
Result →
78
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABEL Erik | 69 |
| 5 | BARBOSA Cândido | 72 |
| 6 | PETITO Roberto | 78 |
| 7 | FAGNINI Gian Matteo | 70 |
| 8 | CHANTEUR Pascal | 62 |
| 9 | SIMON François | 70 |