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 = -0.3 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Codron
1
72 kgBouffier
2
73 kgGoutal
4
68 kgLamure
5
75 kgTaëron
7
60 kg
1
72 kgBouffier
2
73 kgGoutal
4
68 kgLamure
5
75 kgTaëron
7
60 kg
Weight (KG) →
Result →
75
60
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CODRON Victor | 72 |
| 2 | BOUFFIER Gabriel | 73 |
| 4 | GOUTAL Albert | 68 |
| 5 | LAMURE Lucien | 75 |
| 7 | TAËRON Christophe | 60 |