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 = -2.2 * weight + 178
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
Schröder
1
64 kgPerque
3
78 kgLangella
10
76 kgGilmore
38
67 kgWillems
48
67 kgVerstraeten
57
65 kg
1
64 kgPerque
3
78 kgLangella
10
76 kgGilmore
38
67 kgWillems
48
67 kgVerstraeten
57
65 kg
Weight (KG) →
Result →
78
64
1
57
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHRÖDER Björn | 64 |
| 3 | PERQUE Franck | 78 |
| 10 | LANGELLA Anthony | 76 |
| 38 | GILMORE Matthew | 67 |
| 48 | WILLEMS Frederik | 67 |
| 57 | VERSTRAETEN Jan | 65 |