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 = -2.6 * weight + 205
This means that on average for every extra kilogram weight a rider loses -2.6 positions in the result.
Mortensen
1
70 kgPijnen
3
72 kgGodefroot
5
73 kgRosiers
9
78 kgSchleck
31
72 kgVasseur
46
67 kg
1
70 kgPijnen
3
72 kgGodefroot
5
73 kgRosiers
9
78 kgSchleck
31
72 kgVasseur
46
67 kg
Weight (KG) →
Result →
78
67
1
46
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MORTENSEN Leif | 70 |
| 3 | PIJNEN René | 72 |
| 5 | GODEFROOT Walter | 73 |
| 9 | ROSIERS Roger | 78 |
| 31 | SCHLECK Johny | 72 |
| 46 | VASSEUR Alain | 67 |