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 = -0.6 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Kelly
1
77 kgBreukink
4
70 kgFignon
11
67 kgWinnen
12
60 kgWechselberger
15
71 kg
1
77 kgBreukink
4
70 kgFignon
11
67 kgWinnen
12
60 kgWechselberger
15
71 kg
Weight (KG) →
Result →
77
60
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 4 | BREUKINK Erik | 70 |
| 11 | FIGNON Laurent | 67 |
| 12 | WINNEN Peter | 60 |
| 15 | WECHSELBERGER Helmut | 71 |