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 = -3.5 * weight + 280
This means that on average for every extra kilogram weight a rider loses -3.5 positions in the result.
Weissinger
15
74 kgGerdemann
28
71 kgDrancourt
41
68 kgPriamo
45
72 kg
15
74 kgGerdemann
28
71 kgDrancourt
41
68 kgPriamo
45
72 kg
Weight (KG) →
Result →
74
68
15
45
| # | Rider | Weight (KG) |
|---|---|---|
| 15 | WEISSINGER René | 74 |
| 28 | GERDEMANN Linus | 71 |
| 41 | DRANCOURT Pierre | 68 |
| 45 | PRIAMO Matteo | 72 |