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 = 0.2 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Van Goolen
9
70 kgVanlandschoot
11
67 kgDe Groote
12
71 kgGardeyn
15
75 kgBoonen
17
82 kgVerstraeten
18
65 kg
9
70 kgVanlandschoot
11
67 kgDe Groote
12
71 kgGardeyn
15
75 kgBoonen
17
82 kgVerstraeten
18
65 kg
Weight (KG) →
Result →
82
65
9
18
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | VAN GOOLEN Jurgen | 70 |
| 11 | VANLANDSCHOOT James | 67 |
| 12 | DE GROOTE Thierry | 71 |
| 15 | GARDEYN Gorik | 75 |
| 17 | BOONEN Tom | 82 |
| 18 | VERSTRAETEN Jan | 65 |