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 = 0.1 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Ivanov
2
71 kgSerpa
3
64 kgOchoa
4
62 kgPedraza
5
58 kgYates
6
73 kgCésar Veloso
7
69 kgSprick
8
71 kg
2
71 kgSerpa
3
64 kgOchoa
4
62 kgPedraza
5
58 kgYates
6
73 kgCésar Veloso
7
69 kgSprick
8
71 kg
Weight (KG) →
Result →
73
58
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | IVANOV Ruslan | 71 |
| 3 | SERPA José Rodolfo | 64 |
| 4 | OCHOA Carlos José | 62 |
| 5 | PEDRAZA Wálter Fernando | 58 |
| 6 | YATES Jeremy | 73 |
| 7 | CÉSAR VELOSO Gustavo | 69 |
| 8 | SPRICK Matthieu | 71 |