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 = 2.4 * weight - 99
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Lee
8
53 kgFouquenet
30
60 kgDrummond
37
61 kgAbaidullina
42
52 kgStoyanova
74
60 kg
8
53 kgFouquenet
30
60 kgDrummond
37
61 kgAbaidullina
42
52 kgStoyanova
74
60 kg
Weight (KG) →
Result →
61
52
8
74
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | LEE Lucy | 53 |
| 30 | FOUQUENET Amandine | 60 |
| 37 | DRUMMOND Michaela | 61 |
| 42 | ABAIDULLINA Inna | 52 |
| 74 | STOYANOVA Gergana | 60 |