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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Sylvestre-Williams
2
69 kgMansouri
3
66 kgIvashkin
8
73 kgCully
9
73 kgNakai
14
62 kg
2
69 kgMansouri
3
66 kgIvashkin
8
73 kgCully
9
73 kgNakai
14
62 kg
Weight (KG) →
Result →
73
62
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SYLVESTRE-WILLIAMS David | 69 |
| 3 | MANSOURI Abderrahmane | 66 |
| 8 | IVASHKIN Anton | 73 |
| 9 | CULLY Ján Andrej | 73 |
| 14 | NAKAI Tadaaki | 62 |