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 = -0.6 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Nijdam
5
70 kgvan der Poel
6
70 kgDernies
7
75 kgLilholt
9
72 kgDe Wolf
16
75 kgRominger
17
65 kgMarie
18
68 kg
5
70 kgvan der Poel
6
70 kgDernies
7
75 kgLilholt
9
72 kgDe Wolf
16
75 kgRominger
17
65 kgMarie
18
68 kg
Weight (KG) →
Result →
75
65
5
18
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | NIJDAM Jelle | 70 |
| 6 | VAN DER POEL Adrie | 70 |
| 7 | DERNIES Michel | 75 |
| 9 | LILHOLT Søren | 72 |
| 16 | DE WOLF Fons | 75 |
| 17 | ROMINGER Tony | 65 |
| 18 | MARIE Thierry | 68 |