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 = -0.5 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Fontaine
1
70 kgWiggins
2
78 kgSierra
4
70 kgGrindley
5
72 kgBlaise
10
73 kgL'Hote
12
67 kg
1
70 kgWiggins
2
78 kgSierra
4
70 kgGrindley
5
72 kgBlaise
10
73 kgL'Hote
12
67 kg
Weight (KG) →
Result →
78
67
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONTAINE Titouan | 70 |
| 2 | WIGGINS Ben | 78 |
| 4 | SIERRA Juan David | 70 |
| 5 | GRINDLEY Sebastian | 72 |
| 10 | BLAISE Arthur | 73 |
| 12 | L'HOTE Antoine | 67 |