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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Ekimov
4
69 kgStephens
5
65 kgSunderland
9
65 kgHamburger
10
58 kgCordes
13
70 kg
4
69 kgStephens
5
65 kgSunderland
9
65 kgHamburger
10
58 kgCordes
13
70 kg
Weight (KG) →
Result →
70
58
4
13
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | EKIMOV Viatcheslav | 69 |
| 5 | STEPHENS Neil | 65 |
| 9 | SUNDERLAND Scott | 65 |
| 10 | HAMBURGER Bo | 58 |
| 13 | CORDES Tom | 70 |