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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Neuens
2
76 kgAmberg
3
72 kgClemens
4
75 kgDidier
5
71 kgClemens
7
69 kgMallet
8
53 kg
2
76 kgAmberg
3
72 kgClemens
4
75 kgDidier
5
71 kgClemens
7
69 kgMallet
8
53 kg
Weight (KG) →
Result →
76
53
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NEUENS François | 76 |
| 3 | AMBERG Leo | 72 |
| 4 | CLEMENS Mathias | 75 |
| 5 | DIDIER Christophe | 71 |
| 7 | CLEMENS Pierre | 69 |
| 8 | MALLET Auguste | 53 |