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.
Giraud
1
71 kgPeron
2
70 kgMas
3
69 kgKaňkovský
4
83 kgAverin
6
74 kgBiedermann
7
67 kgZaballa
8
66 kg
1
71 kgPeron
2
70 kgMas
3
69 kgKaňkovský
4
83 kgAverin
6
74 kgBiedermann
7
67 kgZaballa
8
66 kg
Weight (KG) →
Result →
83
66
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIRAUD Benjamin | 71 |
| 2 | PERON Andrea | 70 |
| 3 | MAS Lluís | 69 |
| 4 | KAŇKOVSKÝ Alois | 83 |
| 6 | AVERIN Maksym | 74 |
| 7 | BIEDERMANN Daniel | 67 |
| 8 | ZABALLA Constantino | 66 |