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 = -1.7 * weight + 110
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Wankiewicz
4
58 kgPintar
7
56 kgFrancis
11
56 kgMaribo
19
60 kgBrandt Heisel
29
52 kg
4
58 kgPintar
7
56 kgFrancis
11
56 kgMaribo
19
60 kgBrandt Heisel
29
52 kg
Weight (KG) →
Result →
60
52
4
29
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | WANKIEWICZ Olga | 58 |
| 7 | PINTAR Urška | 56 |
| 11 | FRANCIS Jenaya | 56 |
| 19 | MARIBO Julie Emilie | 60 |
| 29 | BRANDT HEISEL Maja Winther | 52 |