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 - 125
This means that on average for every extra kilogram weight a rider loses 2.9 positions in the result.
Lee
8
53 kgDrummond
21
61 kgAbaidullina
39
52 kgFouquenet
56
60 kgStoyanova
77
60 kg
8
53 kgDrummond
21
61 kgAbaidullina
39
52 kgFouquenet
56
60 kgStoyanova
77
60 kg
Weight (KG) →
Result →
61
52
8
77
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | LEE Lucy | 53 |
| 21 | DRUMMOND Michaela | 61 |
| 39 | ABAIDULLINA Inna | 52 |
| 56 | FOUQUENET Amandine | 60 |
| 77 | STOYANOVA Gergana | 60 |