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 = -0.9 * weight + 81
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
De Wolf
4
75 kgGodefroot
6
73 kgDemeyer
12
85 kgKelly
17
77 kgHoste
23
76 kgKuiper
27
69 kgHayton
29
69 kg
4
75 kgGodefroot
6
73 kgDemeyer
12
85 kgKelly
17
77 kgHoste
23
76 kgKuiper
27
69 kgHayton
29
69 kg
Weight (KG) →
Result →
85
69
4
29
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DE WOLF Fons | 75 |
| 6 | GODEFROOT Walter | 73 |
| 12 | DEMEYER Marc | 85 |
| 17 | KELLY Sean | 77 |
| 23 | HOSTE Frank | 76 |
| 27 | KUIPER Hennie | 69 |
| 29 | HAYTON Dudley | 69 |