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 + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Porter
2
73 kgEdmondson
3
62 kgMullen
4
77 kgJanssens
5
74 kgSchönberger
10
64 kgRowsell
15
66 kg
2
73 kgEdmondson
3
62 kgMullen
4
77 kgJanssens
5
74 kgSchönberger
10
64 kgRowsell
15
66 kg
Weight (KG) →
Result →
77
62
2
15
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PORTER Elliott | 73 |
| 3 | EDMONDSON Joshua | 62 |
| 4 | MULLEN Ryan | 77 |
| 5 | JANSSENS Jimmy | 74 |
| 10 | SCHÖNBERGER Sebastian | 64 |
| 15 | ROWSELL Erick | 66 |