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 = 0.4 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Hirschi
1
61 kgSuter
4
75 kgBissegger
5
78 kgRüegg
15
66 kgZweifel
25
84 kgUhlmann
26
69 kg
1
61 kgSuter
4
75 kgBissegger
5
78 kgRüegg
15
66 kgZweifel
25
84 kgUhlmann
26
69 kg
Weight (KG) →
Result →
84
61
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HIRSCHI Marc | 61 |
| 4 | SUTER Joel | 75 |
| 5 | BISSEGGER Stefan | 78 |
| 15 | RÜEGG Lukas | 66 |
| 25 | ZWEIFEL Valentin | 84 |
| 26 | UHLMANN Sven | 69 |