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 = -57.6 * weight + 4528
This means that on average for every extra kilogram weight a rider loses -57.6 positions in the result.
Harmeling
3
76 kgEkimov
5
69 kgSunderland
990
65 kgHamburger
990
58 kgStephens
990
65 kgCordes
990
70 kg
3
76 kgEkimov
5
69 kgSunderland
990
65 kgHamburger
990
58 kgStephens
990
65 kgCordes
990
70 kg
Weight (KG) →
Result →
76
58
3
990
# | Rider | Weight (KG) |
---|---|---|
3 | HARMELING Rob | 76 |
5 | EKIMOV Viatcheslav | 69 |
990 | SUNDERLAND Scott | 65 |
990 | HAMBURGER Bo | 58 |
990 | STEPHENS Neil | 65 |
990 | CORDES Tom | 70 |