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 + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Schoofs
3
68 kgBarry
5
77 kgFisher
12
77 kgRooni
13
72 kgVan Kerckhove
14
70 kgScheldeman
16
66 kgZahálka
17
69 kg
3
68 kgBarry
5
77 kgFisher
12
77 kgRooni
13
72 kgVan Kerckhove
14
70 kgScheldeman
16
66 kgZahálka
17
69 kg
Weight (KG) →
Result →
77
66
3
17
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SCHOOFS Jasper | 68 |
| 5 | BARRY Ashlin | 77 |
| 12 | FISHER Sam | 77 |
| 13 | ROONI Ron | 72 |
| 14 | VAN KERCKHOVE Matisse | 70 |
| 16 | SCHELDEMAN Xander | 66 |
| 17 | ZAHÁLKA Štěpán | 69 |