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 + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Jungels
1
70 kgKirsch
2
78 kgGeniets
3
73 kgThill
4
73 kgCentrone
7
64 kg
1
70 kgKirsch
2
78 kgGeniets
3
73 kgThill
4
73 kgCentrone
7
64 kg
Weight (KG) →
Result →
78
64
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JUNGELS Bob | 70 |
| 2 | KIRSCH Alex | 78 |
| 3 | GENIETS Kevin | 73 |
| 4 | THILL Tom | 73 |
| 7 | CENTRONE Ivan | 64 |