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 = 0.2 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Mäder
1
61 kgHirschi
3
61 kgFroidevaux
4
71 kgJacobs
5
78 kgBissegger
7
78 kg
1
61 kgHirschi
3
61 kgFroidevaux
4
71 kgJacobs
5
78 kgBissegger
7
78 kg
Weight (KG) →
Result →
78
61
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MÄDER Gino | 61 |
| 3 | HIRSCHI Marc | 61 |
| 4 | FROIDEVAUX Robin | 71 |
| 5 | JACOBS Johan | 78 |
| 7 | BISSEGGER Stefan | 78 |