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 = 0.4 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Lospitao
2
67.5 kgNovák
3
63 kgGrindley
7
72 kgSierra
10
70 kgScheldeman
11
66 kg
2
67.5 kgNovák
3
63 kgGrindley
7
72 kgSierra
10
70 kgScheldeman
11
66 kg
Weight (KG) →
Result →
72
63
2
11
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LOSPITAO Pablo | 67.5 |
| 3 | NOVÁK Samuel | 63 |
| 7 | GRINDLEY Sebastian | 72 |
| 10 | SIERRA Juan David | 70 |
| 11 | SCHELDEMAN Xander | 66 |