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 + 3
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Codron
1
72 kgGoutal
2
68 kgTaëron
4
60 kgDaran
5
67 kgBouffier
6
73 kgBailleux
9
57 kgLamure
13
75 kg
1
72 kgGoutal
2
68 kgTaëron
4
60 kgDaran
5
67 kgBouffier
6
73 kgBailleux
9
57 kgLamure
13
75 kg
Weight (KG) →
Result →
75
57
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CODRON Victor | 72 |
| 2 | GOUTAL Albert | 68 |
| 4 | TAËRON Christophe | 60 |
| 5 | DARAN Joffre | 67 |
| 6 | BOUFFIER Gabriel | 73 |
| 9 | BAILLEUX Roger | 57 |
| 13 | LAMURE Lucien | 75 |