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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Raas
1
72 kgDuclos-Lassalle
2
73 kgHoste
4
76 kgDe Vlaeminck
6
74 kgKuiper
11
69 kgPriem
15
75 kg
1
72 kgDuclos-Lassalle
2
73 kgHoste
4
76 kgDe Vlaeminck
6
74 kgKuiper
11
69 kgPriem
15
75 kg
Weight (KG) →
Result →
76
69
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAAS Jan | 72 |
| 2 | DUCLOS-LASSALLE Gilbert | 73 |
| 4 | HOSTE Frank | 76 |
| 6 | DE VLAEMINCK Roger | 74 |
| 11 | KUIPER Hennie | 69 |
| 15 | PRIEM Cees | 75 |