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 = 0.8 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Pérez
1
68 kgBožič
3
70 kgRodríguez
4
58 kgGottfried
17
60 kgRaabe
33
71 kgCosme
34
61 kgMahorič
38
68 kgRogina
41
70 kg
1
68 kgBožič
3
70 kgRodríguez
4
58 kgGottfried
17
60 kgRaabe
33
71 kgCosme
34
61 kgMahorič
38
68 kgRogina
41
70 kg
Weight (KG) →
Result →
71
58
1
41
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÉREZ Pedro Pablo | 68 |
| 3 | BOŽIČ Borut | 70 |
| 4 | RODRÍGUEZ Jackson | 58 |
| 17 | GOTTFRIED Alexander | 60 |
| 33 | RAABE Henry | 71 |
| 34 | COSME Antonio | 61 |
| 38 | MAHORIČ Mitja | 68 |
| 41 | ROGINA Radoslav | 70 |