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 * weight + 8
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Geniets
1
73 kgRies
2
67 kgKirsch
3
78 kgCentrone
4
64 kgThill
6
73 kgHeiderscheid
11
73 kgFries
18
70 kg
1
73 kgRies
2
67 kgKirsch
3
78 kgCentrone
4
64 kgThill
6
73 kgHeiderscheid
11
73 kgFries
18
70 kg
Weight (KG) →
Result →
78
64
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GENIETS Kevin | 73 |
| 2 | RIES Michel | 67 |
| 3 | KIRSCH Alex | 78 |
| 4 | CENTRONE Ivan | 64 |
| 6 | THILL Tom | 73 |
| 11 | HEIDERSCHEID Colin | 73 |
| 18 | FRIES Noah | 70 |