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 = -0.9 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Eeckhout
1
73 kgBreschel
2
70 kgZanotti
3
70 kgDelage
4
70 kgCasper
5
69 kg
1
73 kgBreschel
2
70 kgZanotti
3
70 kgDelage
4
70 kgCasper
5
69 kg
Weight (KG) →
Result →
73
69
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EECKHOUT Niko | 73 |
| 2 | BRESCHEL Matti | 70 |
| 3 | ZANOTTI Marco | 70 |
| 4 | DELAGE Mickaël | 70 |
| 5 | CASPER Jimmy | 69 |