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 = 2.9 * weight - 139
This means that on average for every extra kilogram weight a rider loses 2.9 positions in the result.
Peace
3
63 kgHernandez
7
54 kgDijkman
8
55 kgAtkins
37
68 kgNijst
51
65 kgGravelle
105
62 kg
3
63 kgHernandez
7
54 kgDijkman
8
55 kgAtkins
37
68 kgNijst
51
65 kgGravelle
105
62 kg
Weight (KG) →
Result →
68
54
3
105
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PEACE Matthew | 63 |
| 7 | HERNANDEZ Jan | 54 |
| 8 | DIJKMAN Daan | 55 |
| 37 | ATKINS Leon | 68 |
| 51 | NIJST Michiel | 65 |
| 105 | GRAVELLE Rory | 62 |