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 = -0.6 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Pintar
4
56 kgFrancis
9
56 kgWankiewicz
12
58 kgMaribo
32
60 kgBrandt Heisel
34
52 kg
4
56 kgFrancis
9
56 kgWankiewicz
12
58 kgMaribo
32
60 kgBrandt Heisel
34
52 kg
Weight (KG) →
Result →
60
52
4
34
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | PINTAR Urška | 56 |
| 9 | FRANCIS Jenaya | 56 |
| 12 | WANKIEWICZ Olga | 58 |
| 32 | MARIBO Julie Emilie | 60 |
| 34 | BRANDT HEISEL Maja Winther | 52 |