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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Porter
1
73 kgMullen
3
77 kgEdmondson
4
62 kgBenetseder
5
65 kgSchönberger
6
64 kgRowsell
8
66 kg
1
73 kgMullen
3
77 kgEdmondson
4
62 kgBenetseder
5
65 kgSchönberger
6
64 kgRowsell
8
66 kg
Weight (KG) →
Result →
77
62
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PORTER Elliott | 73 |
| 3 | MULLEN Ryan | 77 |
| 4 | EDMONDSON Joshua | 62 |
| 5 | BENETSEDER Josef | 65 |
| 6 | SCHÖNBERGER Sebastian | 64 |
| 8 | ROWSELL Erick | 66 |