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 = 2.3 * weight - 148
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
Lancaster
1
78 kgvan Hummel
2
64 kgGuyton
9
74 kgde Kort
10
69 kgScheuneman
40
75 kgDe Fauw
69
77 kg
1
78 kgvan Hummel
2
64 kgGuyton
9
74 kgde Kort
10
69 kgScheuneman
40
75 kgDe Fauw
69
77 kg
Weight (KG) →
Result →
78
64
1
69
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LANCASTER Brett | 78 |
| 2 | VAN HUMMEL Kenny | 64 |
| 9 | GUYTON Scott | 74 |
| 10 | DE KORT Koen | 69 |
| 40 | SCHEUNEMAN Niels | 75 |
| 69 | DE FAUW Dimitri | 77 |