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 + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
De Clercq
1
80 kgDa Cruz
2
74 kgVerstrepen
6
66 kgCapelle
7
75 kgPankov
9
72 kgFlickinger
10
78 kg
1
80 kgDa Cruz
2
74 kgVerstrepen
6
66 kgCapelle
7
75 kgPankov
9
72 kgFlickinger
10
78 kg
Weight (KG) →
Result →
80
66
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE CLERCQ Hans | 80 |
| 2 | DA CRUZ Carlos | 74 |
| 6 | VERSTREPEN Johan | 66 |
| 7 | CAPELLE Ludovic | 75 |
| 9 | PANKOV Oleg | 72 |
| 10 | FLICKINGER Andy | 78 |