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 - 23
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Bailleux
1
57 kgTaëron
2
60 kgGoutal
5
68 kgCodron
6
72 kgDaran
10
67 kg
1
57 kgTaëron
2
60 kgGoutal
5
68 kgCodron
6
72 kgDaran
10
67 kg
Weight (KG) →
Result →
72
57
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAILLEUX Roger | 57 |
| 2 | TAËRON Christophe | 60 |
| 5 | GOUTAL Albert | 68 |
| 6 | CODRON Victor | 72 |
| 10 | DARAN Joffre | 67 |