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 = -4.2 * weight + 326
This means that on average for every extra kilogram weight a rider loses -4.2 positions in the result.
Auger
2
78 kgle Boulanger
3
70 kgEichler
8
78 kgVerstraeten
50
65 kgGilmore
59
67 kgWillems
64
67 kg
2
78 kgle Boulanger
3
70 kgEichler
8
78 kgVerstraeten
50
65 kgGilmore
59
67 kgWillems
64
67 kg
Weight (KG) →
Result →
78
65
2
64
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | AUGER Guillaume | 78 |
| 3 | LE BOULANGER Yoann | 70 |
| 8 | EICHLER Markus | 78 |
| 50 | VERSTRAETEN Jan | 65 |
| 59 | GILMORE Matthew | 67 |
| 64 | WILLEMS Frederik | 67 |