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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Omloop
5
78 kgDierckxsens
6
71 kgBeeckman
8
66 kgThijs
11
69 kgGilmore
12
67 kgDe Clercq
13
80 kgStreel
14
69 kg
5
78 kgDierckxsens
6
71 kgBeeckman
8
66 kgThijs
11
69 kgGilmore
12
67 kgDe Clercq
13
80 kgStreel
14
69 kg
Weight (KG) →
Result →
80
66
5
14
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | OMLOOP Geert | 78 |
| 6 | DIERCKXSENS Ludo | 71 |
| 8 | BEECKMAN Koen | 66 |
| 11 | THIJS Erwin | 69 |
| 12 | GILMORE Matthew | 67 |
| 13 | DE CLERCQ Hans | 80 |
| 14 | STREEL Marc | 69 |