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 = -1.2 * weight + 79
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Malucelli
1
68 kgMonsalve
2
62 kgAular
3
65 kgUbeto
9
60 kgSosa
19
52 kg
1
68 kgMonsalve
2
62 kgAular
3
65 kgUbeto
9
60 kgSosa
19
52 kg
Weight (KG) →
Result →
68
52
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MALUCELLI Matteo | 68 |
| 2 | MONSALVE Yonathan | 62 |
| 3 | AULAR Orluis | 65 |
| 9 | UBETO Miguel Armando | 60 |
| 19 | SOSA Iván Ramiro | 52 |