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 = 0.6 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Peace
2
63 kgReitz
8
57 kgDe Gendt
13
51 kgMartinet
19
66 kgD'hondt
45
62 kg
2
63 kgReitz
8
57 kgDe Gendt
13
51 kgMartinet
19
66 kgD'hondt
45
62 kg
Weight (KG) →
Result →
66
51
2
45
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PEACE Matthew | 63 |
| 8 | REITZ Braden | 57 |
| 13 | DE GENDT Leander | 51 |
| 19 | MARTINET Valentin | 66 |
| 45 | D'HONDT Arne | 62 |