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 = 0.2 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Walton
4
68 kgGrabsch
6
81 kgThijs
7
69 kgKoerts
9
78 kgCorvers
10
77 kg
4
68 kgGrabsch
6
81 kgThijs
7
69 kgKoerts
9
78 kgCorvers
10
77 kg
Weight (KG) →
Result →
81
68
4
10
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | WALTON Brian | 68 |
| 6 | GRABSCH Ralf | 81 |
| 7 | THIJS Erwin | 69 |
| 9 | KOERTS Jans | 78 |
| 10 | CORVERS Frank | 77 |