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 = 3.3 * weight - 165
This means that on average for every extra kilogram weight a rider loses 3.3 positions in the result.
Monsalve
5
62 kgGil Martinez
7
60 kgChacón
12
63 kgMaya
41
58 kgUbeto
81
60 kgKers
83
71 kg
5
62 kgGil Martinez
7
60 kgChacón
12
63 kgMaya
41
58 kgUbeto
81
60 kgKers
83
71 kg
Weight (KG) →
Result →
71
58
5
83
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | MONSALVE Yonathan | 62 |
| 7 | GIL MARTINEZ Tomas Aurelio | 60 |
| 12 | CHACÓN José Isidro | 63 |
| 41 | MAYA Carlos Alberto | 58 |
| 81 | UBETO Miguel Armando | 60 |
| 83 | KERS Koos Jeroen | 71 |