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 + 11
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Pérez
1
68 kgRodríguez
3
58 kgBožič
4
70 kgCosme
30
61 kgRaabe
31
71 kgGottfried
32
60 kgRogina
35
70 kg
1
68 kgRodríguez
3
58 kgBožič
4
70 kgCosme
30
61 kgRaabe
31
71 kgGottfried
32
60 kgRogina
35
70 kg
Weight (KG) →
Result →
71
58
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÉREZ Pedro Pablo | 68 |
| 3 | RODRÍGUEZ Jackson | 58 |
| 4 | BOŽIČ Borut | 70 |
| 30 | COSME Antonio | 61 |
| 31 | RAABE Henry | 71 |
| 32 | GOTTFRIED Alexander | 60 |
| 35 | ROGINA Radoslav | 70 |