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 + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Bouvard
1
70 kgvan Heeswijk
4
73 kgMoncassin
5
73 kgBrochard
7
68 kgOzers
8
73 kgMagnien
9
68 kg
1
70 kgvan Heeswijk
4
73 kgMoncassin
5
73 kgBrochard
7
68 kgOzers
8
73 kgMagnien
9
68 kg
Weight (KG) →
Result →
73
68
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUVARD Gilles | 70 |
| 4 | VAN HEESWIJK Max | 73 |
| 5 | MONCASSIN Frédéric | 73 |
| 7 | BROCHARD Laurent | 68 |
| 8 | OZERS Kaspars | 73 |
| 9 | MAGNIEN Emmanuel | 68 |