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 = -3.5 * weight + 279
This means that on average for every extra kilogram weight a rider loses -3.5 positions in the result.
Schur
1
73 kgNyman
12
77 kgGeorgiev Demirev
17
72 kgKotsev
22
72 kgMoiceanu
54
72 kg
1
73 kgNyman
12
77 kgGeorgiev Demirev
17
72 kgKotsev
22
72 kgMoiceanu
54
72 kg
Weight (KG) →
Result →
77
72
1
54
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHUR Gustav-Adolf | 73 |
| 12 | NYMAN Paul | 77 |
| 17 | GEORGIEV DEMIREV Stoyan | 72 |
| 22 | KOTSEV Boyan | 72 |
| 54 | MOICEANU Gabriel | 72 |