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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Bosman
1
68 kgDe Buyst
3
72 kgCapiot
4
69 kgBoons
7
85 kgLe Gac
8
70 kgBrusselman
9
76 kg
1
68 kgDe Buyst
3
72 kgCapiot
4
69 kgBoons
7
85 kgLe Gac
8
70 kgBrusselman
9
76 kg
Weight (KG) →
Result →
85
68
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOSMAN Gert-Jan | 68 |
| 3 | DE BUYST Jasper | 72 |
| 4 | CAPIOT Amaury | 69 |
| 7 | BOONS Ruben | 85 |
| 8 | LE GAC Olivier | 70 |
| 9 | BRUSSELMAN Twan | 76 |