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 = 4.3 * weight - 256
This means that on average for every extra kilogram weight a rider loses 4.3 positions in the result.
Pérez
1
68 kgKoren
4
72 kgChacón
10
63 kgUbeto
12
60 kgSánchez
34
72 kgRogina
46
70 kgKocjan
92
72 kgKvasina
93
72 kg
1
68 kgKoren
4
72 kgChacón
10
63 kgUbeto
12
60 kgSánchez
34
72 kgRogina
46
70 kgKocjan
92
72 kgKvasina
93
72 kg
Weight (KG) →
Result →
72
60
1
93
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÉREZ Pedro Pablo | 68 |
| 4 | KOREN Kristijan | 72 |
| 10 | CHACÓN José Isidro | 63 |
| 12 | UBETO Miguel Armando | 60 |
| 34 | SÁNCHEZ Augusto | 72 |
| 46 | ROGINA Radoslav | 70 |
| 92 | KOCJAN Jure | 72 |
| 93 | KVASINA Matija | 72 |