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 + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Mortensen
1
70 kgMol
4
83 kgPardini
8
68 kgvan Genechten
11
67 kgVanspeybrouck
15
76 kgde Jonge
16
65 kg
1
70 kgMol
4
83 kgPardini
8
68 kgvan Genechten
11
67 kgVanspeybrouck
15
76 kgde Jonge
16
65 kg
Weight (KG) →
Result →
83
65
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MORTENSEN Martin | 70 |
| 4 | MOL Wouter | 83 |
| 8 | PARDINI Olivier | 68 |
| 11 | VAN GENECHTEN Jonas | 67 |
| 15 | VANSPEYBROUCK Pieter | 76 |
| 16 | DE JONGE Maarten | 65 |