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 = -1.7 * weight + 115
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Malucelli
3
68 kgMonsalve
4
62 kgAular
7
65 kgChirico
9
58 kgUbeto
16
60 kgSosa
32
52 kg
3
68 kgMonsalve
4
62 kgAular
7
65 kgChirico
9
58 kgUbeto
16
60 kgSosa
32
52 kg
Weight (KG) →
Result →
68
52
3
32
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MALUCELLI Matteo | 68 |
| 4 | MONSALVE Yonathan | 62 |
| 7 | AULAR Orluis | 65 |
| 9 | CHIRICO Luca | 58 |
| 16 | UBETO Miguel Armando | 60 |
| 32 | SOSA Iván Ramiro | 52 |