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 - 28
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Nijdam
1
70 kgMarie
2
68 kgRoche
3
74 kgDuclos-Lassalle
4
73 kgMoreau
6
77 kgde Vries
8
75 kgMuseeuw
9
71 kg
1
70 kgMarie
2
68 kgRoche
3
74 kgDuclos-Lassalle
4
73 kgMoreau
6
77 kgde Vries
8
75 kgMuseeuw
9
71 kg
Weight (KG) →
Result →
77
68
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NIJDAM Jelle | 70 |
| 2 | MARIE Thierry | 68 |
| 3 | ROCHE Stephen | 74 |
| 4 | DUCLOS-LASSALLE Gilbert | 73 |
| 6 | MOREAU Francis | 77 |
| 8 | DE VRIES Gerrit | 75 |
| 9 | MUSEEUW Johan | 71 |