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 = -0.1 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Rousseau
4
70 kgClain
5
59 kgRollin
6
83 kgSuray
8
67 kgParisien
11
64 kg
4
70 kgClain
5
59 kgRollin
6
83 kgSuray
8
67 kgParisien
11
64 kg
Weight (KG) →
Result →
83
59
4
11
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ROUSSEAU Nicolas | 70 |
| 5 | CLAIN Médéric | 59 |
| 6 | ROLLIN Dominique | 83 |
| 8 | SURAY Gil | 67 |
| 11 | PARISIEN François | 64 |