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 = 4.4 * weight - 312
This means that on average for every extra kilogram weight a rider loses 4.4 positions in the result.
Poulidor
3
71 kgVan Springel
4
72 kgGodefroot
6
73 kgRosiers
26
78 kgNijdam
40
75 kg
3
71 kgVan Springel
4
72 kgGodefroot
6
73 kgRosiers
26
78 kgNijdam
40
75 kg
Weight (KG) →
Result →
78
71
3
40
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | POULIDOR Raymond | 71 |
| 4 | VAN SPRINGEL Herman | 72 |
| 6 | GODEFROOT Walter | 73 |
| 26 | ROSIERS Roger | 78 |
| 40 | NIJDAM Henk | 75 |