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 = 2.1 * weight - 100
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Monsalve
2
62 kgGil Martinez
5
60 kgChacón
7
63 kgMaya
33
58 kgKers
59
71 kgUbeto
62
60 kg
2
62 kgGil Martinez
5
60 kgChacón
7
63 kgMaya
33
58 kgKers
59
71 kgUbeto
62
60 kg
Weight (KG) →
Result →
71
58
2
62
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MONSALVE Yonathan | 62 |
| 5 | GIL MARTINEZ Tomas Aurelio | 60 |
| 7 | CHACÓN José Isidro | 63 |
| 33 | MAYA Carlos Alberto | 58 |
| 59 | KERS Koos Jeroen | 71 |
| 62 | UBETO Miguel Armando | 60 |