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 + 81
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Schröder
3
64 kgle Boulanger
4
70 kgAuger
5
78 kgVerstraeten
6
65 kgLangella
8
76 kgWillems
12
67 kgGilmore
73
67 kg
3
64 kgle Boulanger
4
70 kgAuger
5
78 kgVerstraeten
6
65 kgLangella
8
76 kgWillems
12
67 kgGilmore
73
67 kg
Weight (KG) →
Result →
78
64
3
73
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SCHRÖDER Björn | 64 |
| 4 | LE BOULANGER Yoann | 70 |
| 5 | AUGER Ludovic | 78 |
| 6 | VERSTRAETEN Jan | 65 |
| 8 | LANGELLA Anthony | 76 |
| 12 | WILLEMS Frederik | 67 |
| 73 | GILMORE Matthew | 67 |