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 = 0.7 * weight - 38
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Kroon
2
67 kgEngels
10
64 kgSchep
12
80 kgVeneberg
16
75 kgHayman
20
78 kgvan Dijk
25
74 kg
2
67 kgEngels
10
64 kgSchep
12
80 kgVeneberg
16
75 kgHayman
20
78 kgvan Dijk
25
74 kg
Weight (KG) →
Result →
80
64
2
25
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KROON Karsten | 67 |
| 10 | ENGELS Addy | 64 |
| 12 | SCHEP Peter | 80 |
| 16 | VENEBERG Thorwald | 75 |
| 20 | HAYMAN Mathew | 78 |
| 25 | VAN DIJK Stefan | 74 |