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 = 0.8 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Skalniak-Sójka
1
54 kgRissveds
2
55 kgGhekiere
9
52 kgEklund
10
58 kgMichiels
11
60 kg
1
54 kgRissveds
2
55 kgGhekiere
9
52 kgEklund
10
58 kgMichiels
11
60 kg
Weight (KG) →
Result →
60
52
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 2 | RISSVEDS Jenny | 55 |
| 9 | GHEKIERE Justine | 52 |
| 10 | EKLUND Nathalie | 58 |
| 11 | MICHIELS Githa | 60 |