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 = -0.4 * weight + 41
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Vandborg
4
75 kgMartias
5
71 kgSteurs
7
77 kgLöfkvist
10
70 kgLelay
11
67 kgFukushima
13
62 kgCoutouly
18
72 kg
4
75 kgMartias
5
71 kgSteurs
7
77 kgLöfkvist
10
70 kgLelay
11
67 kgFukushima
13
62 kgCoutouly
18
72 kg
Weight (KG) →
Result →
77
62
4
18
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VANDBORG Brian Bach | 75 |
| 5 | MARTIAS Rony | 71 |
| 7 | STEURS Geert | 77 |
| 10 | LÖFKVIST Thomas | 70 |
| 11 | LELAY David | 67 |
| 13 | FUKUSHIMA Shinichi | 62 |
| 18 | COUTOULY Cédric | 72 |