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 = 3.1 * weight - 143
This means that on average for every extra kilogram weight a rider loses 3.1 positions in the result.
Drummond
1
61 kgLee
14
53 kgAbaidullina
22
52 kgFouquenet
57
60 kgStoyanova
87
60 kg
1
61 kgLee
14
53 kgAbaidullina
22
52 kgFouquenet
57
60 kgStoyanova
87
60 kg
Weight (KG) →
Result →
61
52
1
87
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DRUMMOND Michaela | 61 |
| 14 | LEE Lucy | 53 |
| 22 | ABAIDULLINA Inna | 52 |
| 57 | FOUQUENET Amandine | 60 |
| 87 | STOYANOVA Gergana | 60 |