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.
Chavanel
1
73 kgQuinziato
2
74 kgNazon
3
74 kgTrampusch
4
60 kgAstarloza
5
72 kg
1
73 kgQuinziato
2
74 kgNazon
3
74 kgTrampusch
4
60 kgAstarloza
5
72 kg
Weight (KG) →
Result →
74
60
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHAVANEL Sylvain | 73 |
| 2 | QUINZIATO Manuel | 74 |
| 3 | NAZON Jean-Patrick | 74 |
| 4 | TRAMPUSCH Gerhard | 60 |
| 5 | ASTARLOZA Mikel | 72 |