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 * weight + 4
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
De Caluwé
1
75 kgVlaemynck
2
63 kgWalle
3
64 kgMithouard
4
74 kgChavard
5
84 kgLouyet
6
64 kgLachat
8
68 kg
1
75 kgVlaemynck
2
63 kgWalle
3
64 kgMithouard
4
74 kgChavard
5
84 kgLouyet
6
64 kgLachat
8
68 kg
Weight (KG) →
Result →
84
63
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE CALUWÉ Edgard | 75 |
| 2 | VLAEMYNCK Lucien | 63 |
| 3 | WALLE Marcel | 64 |
| 4 | MITHOUARD Fernand | 74 |
| 5 | CHAVARD Guillaume | 84 |
| 6 | LOUYET Léon | 64 |
| 8 | LACHAT Georges | 68 |